Publications

Books:

	[2] Amir M. Rahmani, Pasi Liljeberg, Jürgo Preden, and Axel Jantsch, Fog Computing in the Internet of Things - Intelligence at the Edge, Springer, 2017 (Contents (PDF)).
	[1] Amir M. Rahmani, Pasi Liljeberg, Ahmed Hemani, Axel Jantsch, and Hannu Tenhunen, The Dark Side of Silicon, Springer, 2016. (Contents (PDF), Introduction Chapter (PDF))

Book Chapters:

• [13] Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan, Hamidreza Alikhani, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, Antonio Miele, and Nikil Dutt, “Edge-centric Optimization of Multi-modal ML-driven eHealth Applications,” in Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, Springer, 2023.
• [12] Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch, Onur Mutlu, and Nikil Dutt, “Intelligent Management of Mobile Systems through Computational Self-Awareness,” in Handbook of Research on Methodologies and Applications of Supercomputing, IGI-Global, 2020.
• [11] Bryan Donyanavard, Tiago Mück, Kasra Moazzemi, Biswadip Maity, Caio Batista de Melo, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, and Nikil Dutt, “Reflecting on Self-aware Systems-on-Chip,” in Jian-Jia Chen (ed.): A Journey of Embedded and Cyber-Physical Systems, Springer, 2020.
• [10] Amir Mahdi Hosseini Monazzah, Amir M. Rahmani, Antonio Miele, and Nikil Dutt, “Exploiting Memory Resilience for Emerging Technologies: An Energy-aware Resilience Exemplar for STT-RAM Memories,” in Dependable Embedded Systems, Springer, 2020.
• [9] Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil Dutt, and Marco Levorato, “Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control,” in Fog Computing: Theory and Practice, Wiley, 2019.
• [8] Tiago Mück, Amir M. Rahmani, and Nikil Dutt, “Adaptive-Reflective Middleware for Power and Energy Management in Many-Core Heterogeneous Systems,” in Many Core Computing: Hardware and Software, IET, 2018.
• [7] Behailu Negash, Tuan Nguyen Gia, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Tomi Westerlund, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, “Leveraging Fog Computing for Healthcare IoT,” in Fog Computing in the Internet of Things (Intelligence at the Edge), Springer, 2017.
• [6] Behailu Negash, Amir M. Rahmani, Pasi Liljeberg, and Axel Jantsch, “Fog Computing Fundamentals in The Internet-of-Things,” in Fog Computing in the Internet of Things (Intelligence at the Edge), Springer, 2017.
• [5] Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Ahmed Hemani, Axel Jantsch, and Hannu Tenhunen, “A Perspective on Dark Silicon,” in The Dark Side of Silicon (Energy-Efficient Computing in the Dark Silicon Era), Springer, 2016.
• [4] Amir M. Rahmani, M. Hashem Haghbayan, Pasi Liljeberg, Axel Jantsch, and Hannu Tenhunen, “Multi-Objective Power Management for CMPs in the Dark Silicon Age,” in The Dark Side of Silicon (Energy-Efficient Computing in the Dark Silicon Era), Springer, 2016.
• [3] Anil Kanduri, M. Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, and Hannu Tenhunen, “Dark Silicon Patterning: Efficient Power Utilization through Run-time Mapping,” in The Dark Side of Silicon (Energy-Efficient Computing in the Dark Silicon Era), Springer, 2016.
• [2] M. Hashem Haghbayan, Amir M. Rahmani, Antonio Miele, Pasi Liljeberg, and Hannu Tenhunen, “Online Software-Based Self-Testing in the Dark Silicon Era,” in The Dark Side of Silicon (Energy-Efficient Computing in the Dark Silicon Era), Springer, 2016.
• [1] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu, and Hannu Tenhunen, "An Autonomic NoC Architecture using Heuristic Technique for Virtual Channel Sharing," in Phan Cong-Vinh (Eds.), Autonomic Networking-on-Chip: Bio-inspired Specification, Development, and Verification. Part of the Embedded Multi-core Systems (EMS) Book Series, CRC Press, December 2011.

Journal Papers:

• [134] Yong Huang, Rui Cao, Thomas Hughes, and Amir M. Rahmani, “Smart Pain Relief: Harnessing Conservative Q Learning for Personalized and Dynamic Pain Management,” Elsevier Smart Health Journal, 2024.
• [133] Hamidreza Alikhani, Anil Kanduri, Emad Kasaeyan Naeini, Sina Shahhosseini, Pasi Liljeberg, Amir M. Rahmani, “ISCA: Intelligent Sense-Compute Adaptive Co-optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables,” IEEE Design & Test, 2024.
• [132] Milad Asgari Mehrabadi, Elahe Khatibi, Tamara Jimah, Sina Labbaf, Holly Borg, Pamela Pimentel, Nikil Dutt, Yuqing Guo, and Amir M. Rahmani, “PERFECT: Personalized Exercise Recommendation Framework and Architecture,” ACM Transactions on Computing for Healthcare (ACM-HEALTH), 2024.
• [131] Mohammad Feli, Iman Azimi, Fatemeh Sarhaddi, Zahra Sharifi-Heris, Hannakaisa Niela-Vilen, Anna Axelin, Pasi liljeberg, and Amir M. Rahmani, Carmen Josefa Sierra, and Charles A. Downs, “Preterm Birth Risk Stratification through Longitudinal Heart Rate and HRV Monitoring in Daily Life,” Nature Scientific Reports, 2024.
• [130] Carmen Sierra, Yong Huang, Shannon Cotton, Thomas Hughes, Melissa Pinto, Amir M. Rahmani, Ajan Subramanian, Charles Downs, "Clinical outcomes in comorbid COVID-19 and TB cases," The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease, 2024.
• [129] Jung In Park, Seyed Amir Hossein Aqajari, Amir M. Rahmani, Jung-Ah Lee, “Predicting Sleep Quality in Family Caregivers of Dementia Patients from Diverse Populations Using Wearable Sensor Data,” Computers, Informatics, Nursing Journal (CIN), 2024.
• [128] Adeline Nyamathi, Nikil Dutt, Jung-Ah Lee, Amir M. Rahmani, Mahkameh Rasouli, Donna Krogh, Erik Krogh, David Sultzer, Humayun Rashid, Hamza Liaqat, Riyam Jawad, Farhan Azhar, Ali Ahmad, Bilal Qamar, Taha Yasin Bhatti, Chet Khay, Jocelyn Ludlow, Lisa Gibbs, Julie Rousseau, Mahyar Abbasian, and Sabine Brunswicker , "Establishing the Foundations of Emotional Intelligence in Care Companion Robots to Mitigate Agitation among High-Risk Dementia Patients: Protocol for Empathetic Patient-Robot Interactions," JMIR Research Protocols Journal (JMIR-JRP), 2024.
• [127] Salar Jafarlou, Iman Azimi, Jocelyn Lai, Yuning Wang, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L. Borelli, Nikil D. Dutt, and Amir M. Rahmani, "Objective Monitoring of Loneliness Levels using Smart Devices: A Multi-Device Approach for Mental Health Applications," PLOS-ONE, 2024.
• [126] Zahra Sharifi-Heris, Michelle A. Fortier, Amir M. Rahmani, Hamid Sharifiheris, Miriam Bender, "Feasibility of continuous smart health monitoring in pregnant population: A mixed-method approach," PLOS-ONE, 2024.
• [125] Kianoosh Kazemi, Arash Abri, Yongxiao Zhou, Amir M. Rahmani, Rami Khayat, Pasi Liljeberg, Michelle Khine "Improved Sleep Stage Predictions by Deep Learning of Photoplethysmogram and Respiration Patterns," Elsevier Computers in Biology and Medicine, 2024.
• [124] Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh Jain, and Amir M. Rahmani, "Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI," Nature Digital Medicine (npj), 2024.
• [123] S. Cotton, A. Subramanian, A.K. Pearce, T. Hughes, C. Sierra, Y. Huang, M. Pinto, Amir M. Rahmani, C. Downs, A. Malhotra, "The Effect of SARS-COV-2 Variant on Non-Respiratory Features and Mortality Among Vaccinated and Non-Fully Vaccinated Patients," VACCINE, 2024.
• [122] Sina Labbaf, Mahyar Abbasian, Brenda Nguyen, Matthew Lucero, Maryam Sabah Ahmed, Asal Yunusova, Alexander Rivera, Ramesh Jain, Jessica L Borelli, Nikil Dutt, and Amir M. Rahmani, "Physiological and Emotional Assessment of College Students using Wearable and Mobile Devices during the 2020 COVID-19 Lockdown: An Intensive, Longitudinal Dataset," Elsevier Data in Brief, 2024.
• [121] Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Maryam Sabah, Elahe Khatibi, Iman Azimi, Nikil Dutt, Jessica L. Borelli, and Amir M. Rahmani, “Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting,” Elsevier Smart Health Journal, 2024.
• [120] Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh Jain, and Amir M. Rahmani, “Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework,” Elsevier Smart Health Journal, 2024.
• [119] Carmen Sierra, Yong Huang, Shannon Cotton, Thomas Hughes, Melissa Pinto, Amir M. Rahmani, Ajan Subramanian, Charles Downs, “Clinical Outcomes from Co-occurrence of COVID-19 and Tuberculosis Disease,” The International Journal of Tuberculosis and Lung Disease (THE UNION IJTLD), 2024.
• [118] Mika Tanaka, Shinobu Ishii, Akiko Matsuoka, Sachiko Tanabe, Shota Matsunaga, Amir M. Rahmani, Nikil Dutt, Mahkameh Rasouli, Adeline Nyamathi, “Perspectives of Japanese Elders and their Healthcare Providers on Use of Wearable Technology to Monitor their Health at Home: A Qualitative Exploration,” Elsevier International Journal of Nursing Studies, 2024.
• [117] Salar Jafarlou, Iman Azimi, Jocelyn Lai, Yuning Wang, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani, "Objective Monitoring of Loneliness Levels using Smart Devices: A Multi-Device Approach for Mental Health Applications," PLOS ONE, 2024.
• [116] Donna Balsam, Dawn T Bounds, Amir M. Rahmani, Adeline Nyamathi, "Evaluating the Impact of an App-Delivered Mindfulness Meditation Program to Reduce Stress and Anxiety During Pregnancy: Pilot Longitudinal Study," JMIR Pediatrics and Parenting, 2023.
• [115] Zahra Sharifiheris, Zhongqi Yang, Amir M. Rahmani, Michelle Fortier, Hamid Sharifiheris, Miriam Bender, "Phenotyping Autonomic Nervous System in pregnancy using remote sensors: potential for complication prediction," Frontiers in Physiology, 2023.
• [114] Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil Dutt, Amir M. Rahmani, “ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider,” Frontiers in Digital Health, 2023.
• [113] Mingzhe Jiang, Riitta Rosio, Sanna Salanterä, Amir M. Rahmani, Pasi Liljeberg, Daniel S. da Silva, Victor Hugo C. de Albuquerque, Wanqing Wu “Personalized and adaptive neural networks for pain detection from multi-modal physiological features,” Elsevier Expert Systems with Applications, 2023.
• [112] Emad Kasaeyan, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, and Nikil Dutt, Amir M. Rahmani, “A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability,” ACM Transactions on Computing for Healthcare (ACM-HEALTH), 2023.
• [111] Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt, "DynaFuse: Dynamic Fusion for Resource Efficient Multi-modal Machine Learning Inference," IEEE Embedded System Letters (IEEE-ESL), 2023.
• [110] Fatemeh Sarhaddi, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani, “Maternal Social Loneliness Detection Using Passive Sensing: Continuous Monitoring in Everyday Settings,” JMIR Formative Research Journal (JMIR-JFR), 2023.
• [109] Jennifer Auxier, Kaisu T Savolainen, Miriam Bender, Amir M. Rahmani, Fatemeh Sarhaddi, Iman Azimi, Anna Axelin, "Exploring access as a process of adaptation in a self-monitoring perinatal eHealth system: Mixed-method study from a socio-material perspective," JMIR Formative Research Journal (JMIR-JFR), 2023.
• [108] Zahra Sharifiheris, Amir M. Rahmani, Anna Axelin, Mahkameh Rasouli, Miriam Bender, "Heart Rate Variability and Pregnancy Complications: Systematic Review," JMIR Interactive Journal of Medical Research (JMIR-IJMR), 2023.
• [107] Thomas D. Hughes, Ajan Subramanian, Rana Chakraborty, Shannon A. Cotton, Maria Del Pilar Giraldo Herrera, Yong Huang, Natalie Lambert, Melissa D. Pinto, Amir M. Rahmani, Carmen Josefa Sierra, and Charles A. Downs, “The effect of SARS-CoV-2 variant on respiratory features and mortality,” Nature Scientific Reports, 2023.
• [106] Mohammad Feli, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, and Pasi Liljeberg, “An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment,” Elsevier Smart Health Journal, 2023.
• [105] Hannakaisa Niela-Vilén, Eeva Ekholm, Fatemeh Sarhaddi, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Miko Pasanen, Anna Axelin “Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study,” Elsevier Sexual and Reproductive Healthcare, 2023.
• [104] Zahra Sharifiheris, Amir M. Rahmani, Joseph Onwuka, Miriam Bender, "Utilization of Heart Rate Variability for Autonomic Nervous System Assessment in Healthy Pregnant Women: A Systematic Review," JMIR Bioinformatics and Biotechnology Journal (JMIR-JBB), 2022.
• [103] Fatemeh Sarhaddi, Kianoosh Kazemi, Iman Azimi, Rui Cao, Hannakaisa Niela-Vil'en, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani, “A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability,” the Public Library of Science (PLOS) ONE, 2022.
• [102] Salar Jafarlou, Jocelyn Lai, Iman Azimi, Zahra Mousavi, Sina Labbaf, Ramesh C. Jain, Nikil Dutt, Jessica Borelli, Amir M. Rahmani, "Objective Prediction of Tomorrow’s Affect Using Multi-Modal Physiological and Behavioral Data: A 12-month Study on College Students," JMIR Formative Research Journal (JMIR-JFR), 2022.
• [101] Johanna Saarikko, Anna Axelin, Emilia Huvinen, Amir M. Rahmani, Iman Azimi, Miko Pasanen, Hannakaisa Niela-Vilén, “Supporting Lifestyle Change in Obese Pregnant Mothers through the Wearable Internet-of-Things (SLIM) - intervention for overweight pregnant women: Study protocol for a quasi-experimental trial,” the Public Library of Science (PLOS) ONE, 2022.
• [100] Charles A Downs, Melissa D. Pinto, Yong Huang, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Heather L. Abrahim, Thomas Hughes, Maria Giraldo Herrera, Amir M. Rahmani, Nikil Dutt, Rana Chakraborty, Christian Mendiola, and Natalie Lambert, “A distinct symptom pattern emerges for COVID-19 Long-Haul: A nationwide study,” Nature Scientific Reports, 2022.
• [99] Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex Rivera, Sina Labbaf, Arman Anzanpour, Nikil Dutt, Ramesh Jain and Jessica Borelli, “Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being,” Frontiers in Digital Health, 2022.
• [98] Yong Huang, Melissa D Pinto, Jessica L Borelli, Milad Asgari Mehrabadi, Heather Abrihim, Nikil Dutt, Natalie Lambert, Erika L Nurmi, Rana Chakraborty, Amir M. Rahmani, Charles A Downs, “COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic”, SAGE Journal of Clinical Nursing Research, 2022.
• [97] Rui Cao, Amir M. Rahmani, Karen Lindsay “Prenatal Stress Assessment using Heart Rate Variability and Salivary Cortisol: A Machine Learning-Based Approach,” the Public Library of Science (PLOS) ONE, 2022.
• [96] Natalie Lambert, Survivor Corps, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Charles A. Downs, Heather L. Abrahim, Amir M. Rahmani, Jessica L. Borelli, Rana Chakraborty, Melissa D. Pinto, “The Other COVID-19 Survivors: Timing, Duration, and Health Impact of Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection,” Wiley Journal of Clinical Nursing (JCN), 2022.
• [95] Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani, “Robust PPG peak detection using dilated convolutional neural networks,” Sensors, 2022.
• [94] Stephanie M. Reich, Nestor Tulagan, Melissa Dahlin, Sina Labaf, Nikil Dutt, Amir M. Rahmani, “Pregnant in a Pandemic: Connecting Perceptions of Uplifts and Hassles to Mental Health,” Journal of Health Psychology, 2022.
• [93] Candace W Burton, Heather Abrahim, Thomas D Hughes, Charles A Downs, Natalie Lambert, Maria Giraldo Herrera, Yong Huang, Amir M. Rahmani, Jung-Ah Lee, Rana Chakraborty, Melissa D Pinto, “A Novel Conceptual Model of Trauma-Informed Care for Patients with Post-Acute Sequelae of SARS-CoV-2 Illness (PASC),” Journal of Advanced Nursing (JAN), 2022.
• [92] Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, Hadi Khodabandeh, Amir M. Rahmani, Fadi Kurdahi “An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN,” ACM Transactions on Computing for Healthcare (ACM-HEALTH), 2022.
• [91] Zahra Mousavi, Katharine Simon, Alex Rivera, Asal Yunusova, Sirui Hu, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Ramesh Jain, Amir M. Rahmani, Jessica Borelli, "Sleep Patterns and Affect Dynamics Among College Students during COVID-19 Pandemic: An Intensive Longitudinal Study," JMIR Formative Research Journal (JMIR-JFR), 2022.
• [90] Jennifer Auxier, Milad Asgari Mehrabadi, Amir M. Rahmani, and Anna Axelin , “A Descriptive Comparative Pilot Study: Association between use of a self-monitoring device and sleep and stress outcomes in pregnancy,” Computers, Informatics, Nursing Journal (CIN), 2022.
• [89] Nima TaheriNejad, Paolo Perego, Amir M. Rahmani, "Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact," ACM/Springer Mobile Networks and Applications (ACM/Springer-MONET), 2022.
• [88] Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani, "Digital Health-Enabled Community-Centered Care: A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop Artificial Intelligence," JMIR Formative Research Journal (JMIR-JFR), 2022.
• [87] Tamara Jimah, Priscilla Kehoe, Holly Borg, Pamela Pimentel, Amir M. Rahmani, Nikil Dutt, Yuqing Guo, "A Micro-level Analysis of Physiological Responses to COVID-19: Continuous Monitoring of Pregnant Women in California," Frontiers in Public Health, 2022.
• [86] Zahra Sharifiheris, Juho Laitala, Antti Airola, Amir M. Rahmani, and Miriam Bender, “Machine learning modeling for preterm birth prediction using health record: A systematic reviewt,” JMIR Medical Informatics, 2022.
• [85] Fatemeh Sarhaddi, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani, “Trends in Heart Rate and Heart Rate Variability during Pregnancy and Three Months Postpartum: Continuous Monitoring in a Free Living Context,” JMIR mHealth and uHealth, 2022.
• [84] Sina Shahhosseini, DongJoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, and Nikil Dutt, “Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks,” ACM Transactions on Embedded Computing Systems (ACM-TECS), 2022.
• [83] Melissa D Pinto, Natalie Lambert, Charles A Downs, Heather Abrahim, Thomas D Hughes, Amir M. Rahmani, Candace W Burton, Rana Chakraborty , “Case Report: Antihistamines for Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection,” The Journal for Nurse Practitioners (JNP), 2022.
• [82] Hannakaisa Niela-Vilén, Iman Azimi, Kristin Suorsa, Fatemeh Sarhaddi, Sari Stenholm, Pasi Liljeberg, Amir M. Rahmani, and Anna Axelin , “Comparison of Oura smart ring against ActiGraph accelerometer for measurement of physical activity and sedentary time in a free-living context,” Computers, Informatics, Nursing Journal (CIN), 2021.
• [81] Rui Cao, Iman Azimi, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani, “Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison to Electrocardiography: A Comprehensive Analysis in Time and Frequency Domains,” Journal of Medical Internet Research (JMIR), 2021.
• [80] Tamara Jimah, Holly Borg, Priscilla Kehoe, Pamela Pimentel, Arlene Turner, Sina Labbaf, Milad Asgari, Amir M. Rahmani, Nikil Dutt, Yuqing Guo, "The Two Happy Hearts Technology-based Pregnancy Health and Wellness Intervention in California: Case Study," JMIR Formative Research Journal (JMIR-JFR), 2021.
• [79] Jocelyn Lai, Amir M. Rahmani, Asal Yunusova, Alex Rivera, Sina Labbaf, Sirui Hu, Nikil Dutt, Ramesh Jain, Jessica Borelli, "Using Multi-modal Assessments to Capture Personalized Contexts of College Student Well-being in 2020: A Case Study," JMIR Formative Research Journal (JMIR-JFR), 2021.
• [78] Biswadip Maity, Bryan Donyanavard, Anmol Surhonne, Amir M. Rahmani, Andreas Herkersdorf, and Nikil Dutt, "SEAMS: Self-optimizing Runtime Manager for Approximate Memory Hierarchies," ACM Transactions on Embedded Computing Systems (ACM-TECS), 2021.
• [77] Emad Kasaeyan Naeini, Ajan Subramanian, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M. Rahmani, "Pain recognition with ECG features in postoperative patients: A method validation study," Journal of Medical Internet Research, 2021.
• [76] Seyed Amir Hossein Aqajari, Rui Cao, Emad Kasaeyan Naeini, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M. Rahmani, "Pain assessment tool with Electrodermal Activity for post-operative patients: A method validation study," JMIR mHealth and uHealth, 2021.
• [75] Milad Asgari, Nikil Dutt, Amir M. Rahmani, "The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis," JMIR Public Health and Surveillance, 2021.
• [74] Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil Dutt, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani, “Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation,” Sensors, 2021.
• [73] Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, DongJoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, “Exploring Computation Offloading in IoT Systems,” Elsevier Journal of Information Systems (InfoSys), 2021.
• [72] Johanna Saarikko, Hannakaisa Niela-Vilén, Amir M. Rahmani, and Anna Axelin , “Identifying target behaviors for weight management interventions for women who are overweight during pregnancy and the postpartum period: A qualitative study informed by the Behaviour Change Wheel,” BMC Pregnancy and Childbirth (PnC), 2021.
• [71] Elham Shamsa, Anil Kanduri, Pasi liljeberg, and Amir M. Rahmani, “Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms,” IEEE Transactions on Computers (IEEE-TC), 2021.
• [70] Yuqing Guo, Priscilla Kehoe, Pamela Pimentel, Julie Rousseau, Anna Axelin, Amir M. Rahmani, and Nikil Dutt, "Relationship Between Stress and Exercise in Low-Income Perinatal Women: A Mixed Methods Study," The American Journal of Maternal Child Nursing (MCN), 2021.
• [69] Hannakaisa Niela-Vilen, Jennifer Auxier, Eeva Ekholm, Fatemeh Sarhaddi, Milad Asgari Mehrabadi, Aysan Mahmoudzadeh, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani, and Anna Axelin, "Pregnant women’s daily patterns of well-being before and during the COVID-19 pandemic in Finland: longitudinal monitoring through smartwatch technology," the Public Library of Science (PLOS) ONE (PLOS-ONE), 2021.
• [68] Asal Yunusova, Jocelyn Lai, Alexander P. Rivera, Sirui Hu, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, Ramesh Jain, and Jessica L. Borelli, "Assessing Mental Health in Emerging Adulthood through a Mental Health Navigator: A Study Protocol," JMIR Research Protocols Journal (JMIR-JRP), 2021.
• [67] Maximilian Götzinger, Dávid Juhász, Nima TaheriNejad, Edwin Willegger, Benedikt Tutzer, Pasi Liljeberg, Axel Jantsch, Amir M. Rahmani, “RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems,” (IEEE-ACCESS), 2020.
• [66] Elham Shamsa, Alma Pröbstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir M. Rahmani, and Pasi liljeberg, “UBAR: User and Battery Aware Resource Management for Smartphones,” ACM Transactions on Embedded Computing Systems (ACM-TECS), 2020.
• [65] Milad Asgari, Iman Azimi, Fatemmeh Sarhaddi, Anna Axelin, Hannakaisa Niela-Vilén, Sari Myllyntausta, Sanna Stenholm, Nikil Dutt, Pasi Liljeberg,, Amir M. Rahmani, "Sleep Validation of Commercially Available Smart Ring and Watch Against Medical-Grade Actigraphy in Everyday Settings," JMIR mHealth and uHealth, 2020.
• [64] Fahimeh Hajizadeh, Mostafa Abbas Mollaei, Amir M. Rahmani, Mohammadreza Binesh Marvasti, and Seyyed Amir Asghari, “Configurable DSI partitioned approximate multiplier,” Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 2020.
• [63] Khuong Vo, Tai Le, Amir M. Rahmani, Nikil Dutt, Hung Cao, “An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram,” SENSORS, 2020.
• [62] Riitta Mieronkoski, Elise Syrjälä, Mingzhe Jiang, Amir M. Rahmani, Tapio Pahikkala, Pasi Liljeberg, and Sanna Salanterä, "Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography," the Public Library of Science (PLOS) ONE (PLOS-ONE), 2020.
• [61] Emad Kasaeyan Naeini, Mingzhe Jiang, Elise Syrjälä, Michael-David Calderon, Riitta Mieronkoski, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M. Rahmani, "A Prospective Study Evaluating a Pain Assessment Tool in Postoperative Environment: A Protocol for Algorithm Testing and Enhancement," JMIR Research Protocols Journal (JMIR-JRP), 2020.
• [60] Johanna Saarikko, Hannakaisa Niela-Vilen, Eeva Ekholm, Lotta Hamari, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani, Eliisa Löyttyniemi, Anna Axelin, "Continuous 7-month Internet of Things -based monitoring of Health Parameters of Pregnant and Postpartum Women: A Feasibility Study," JMIR Formative Research (JMIR-JFR), 2020.
• [59] Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil Dutt, Pasi Liljeberg, Amir M. Rahmani, "Edge-Assisted Control for Healthcare Internet-of-Things: A Case Study on PPG-based Early Warning Score," ACM Transactions on Internet of Things (ACM-IoT), 2020.
• [58] Hee-Jeong Han, Sina Labbaf, Jessica L. Borelli, Nikil Dutt, Amir M. Rahmani, “Objective Stress Monitoring based on Wearable Sensors in Everyday Settings,” Taylor & Francis Journal of Medical Engineering & Technology, (JMET), 2020.
• [57] Geng Yang, Zhibo Pang, Jamal Deen, Mianxiong Dong, Yuan-Ting Zhang, Nigel H. Lovell, and Amir M. Rahmani, “Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies,” IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), 2020.
• [56] Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil Dutt, Amir M. Rahmani, Hung Cao, “Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice,” SENSORS, 2020.
• [55] Amir Mahdi Hosseini Monazzah, Amir M. Rahmani, Antonio Miele, and Nikil Dutt, “CAST: Content-Aware STT-MRAM Cache Write Management for Different Levels of Approximation,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, (IEEE-TCAD), 2020.
• [54] Asal Khanbadr, Mohammadreza Binesh Marvasti, Seyyed Amir Asghari, Sohrab Khanbadr, Amir M. Rahmani, “A novel method for victim block selection for NAND flash-based solid state drives based on scoring,” The Springer Journal of Supercomputing, 2020.
• [53] Hannakaisa Niela-Vilen, Amir M. Rahmani, Pasi Liljeberg, and Anna Axelin, “Being ‘A Google Mom’ or Securely Monitored at Home – Perceptions of Remote Monitoring in Maternity Care,” Wiley's Journal of Advanced Nursing, 2019.
• [52] Biswadip Maity, Majid Shoushtari, Amir M. Rahmani, and Nikil Dutt, "Self-adaptive Memory Approximation: A Formal Control Theory Approach," IEEE Embedded System Letters (IEEE-ESL), 2019.
• [51] Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, “Context-Aware Control of Wearable Sensors via Edge Computing,” ACM Transactions on Computing for Healthcare (ACM-HEALTH), 2019.
• [50] Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg, “Confidence-Enhanced Early Warning Score Based on Fuzzy Logic,” ACM/Springer Mobile Networks and Applications (ACM/Springer-MONET), 2019.
• [49] Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilen, Anna Axelin, Nikil Dutt, Pasi Liljeberg, and Amir M. Rahmani, “Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study,” IEEE ACCESS Journal (IEEE-ACCESS), 2019.
• [48] Kasra Moazzemi, Biswadip Maity, Saehanseul Yi, Amir M. Rahmani, and Nikil Dutt, “HESSLE-FREE: Heterogeneous Systems Leveraging Fuzzy Control for Runtime Resource Management,” ACM Transactions on Embedded Computing Systems, ESWEEK-TECS special issue (ACM-TECS), 2019.
• [47] Antonio Miele, Anil Kanduri, Kasra Moazzemi, Dávid Juhász, Amir M. Rahmani, Nikil Dutt, Pasi Liljeberg, and Axel Jantsch, “On-Chip Dynamic Resource Management,” NowPublishers Journal of Foundations and Trends in Electronic Design Automation (NOW-FnTEDA), 2019.
• [46] Mahyar Nazari, Reza Taghi Zadeh, Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, and Amir M. Rahmani, “FRCD: Fast Recovery of Compressible Data in Flash Memories,” Elsevier Journal of Computers and Electrical Engineering (Elsevier-CEE), 2019.
• [45] Maximilian Götzinger, Nima TaheriNejad, Hedyeh A. Kholerdi, Axel Jantsch, Edwin Willegger, Thomas Glatzl, Amir M. Rahmani, Thilo Sauter, and Pasi Liljeberg, “Model-Free Condition Monitoring with Confidence,” International Journal of Computer Integrated Manufacturing (Taylor & Francis-IJCIM), 2019.
• [44] Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilen, Anna Axelin, and Pasi Liljeberg, “Missing Data Resilient Decision-making for Healthcare IoT through Personalization: A Case Study on Maternal Health,” Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 2019.
• [43] André Luís del Mestre Martins, Alzemiro Henrique Lucasda Silva, Amir M. Rahmani, Nikil Dutt, and Fernando Gehm Moraes, "Hierarchical Adaptive Multi-objective Resource Management for Many-core Systems," Elsevier Journal of Systems Architecture (Elsevier-JSA), 2019.
• [42] Kirsi Grym, Hannakaisa Niela-Vilen, Eeva Ekholm, Lotta Hamari, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Eliisa Löyttyniemi, and Anna Axelin, “A Feasibility Study of Wearable Wristbands as a Measurement Tool during Pregnancy and One-month Postpartum,” BMC Pregnancy and Childbirth, 2019.
• [41] Tuan Nguyen Gia, Imed Ben Dhaou, Mai Ali, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, “Energy Efficient Fog-assisted IoT System for Monitoring Diabetic Patients with Cardiovascular Disease,” Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 2018.
• [40] Sina Shahosseini, Kasra Moazzemi, Amir M. Rahmani, and Nikil Dutt, "On the Feasibility of SISO Control-Theoretic DVFS for Power Capping in CMPs," Journal of Microprocessors and Microsystems (Elsevier-MICPRO), 2018.
• [39] Mischa Mostl, Johannes Schlatow, Rolf Ernst, Nikil Dutt, Ahmed Nassar, Amir M. Rahmani, Fadi J. Kurdahi, Thomas Wild, Armin Sadighi, and Andreas Herkersdorf, "Platform-centric self-awareness as a key enabler for controlling changes in CPS," Proceedings of the IEEE journal (PIEEE), 2018.
• [38] Mingzhe Jiang, Riitta Mieronkoski, Elise Syrjälä, Arman Anzanpour, Virpi Terävä, Amir M. Rahmani, Sanna Salanterä, Riku Aantaa, Nora Hagelberg, and Pasi Liljeberg, "Acute pain intensity monitoring with the classification of multiple physiological parameters," Springer Journal of Clinical Monitoring and Computing (Springer-JCMC), 2018.
• [37] Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "Fog Computing Approach for Mobility Support in Internet-of-Things Systems," IEEE Access journal (IEEE-ACCESS), 2018.
• [36] Tiago Mück, Bryan Donyanavard, Kasra Moazzemi, Amir M. Rahmani, Axel Jantsch, and Nikil Dutt, "Design Methodology for Responsive and Robust MIMO Control of Heterogeneous Multicores," IEEE Transactions on Multi-Scale Computing Systems (IEEE-TMSCS), 2018.
• [35] Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Muhammad Shafique, Pasi Liljeberg, and Axel Jantsch, "adBoost: Thermal Aware Performance Boosting through Dark Silicon Patterning," IEEE Transactions on Computers (IEEE-TC), 2018.
• [34] Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, and Amir M. Rahmani, “Enhancing transient fault tolerance in embedded systems through an OS task level redundancy approach,” Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 2018.
• [33] Geng Yang, Mingzhe Jiang, Wei Ouyang, Guangchao Ji, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, "IoT-based Remote Pain Monitoring System: from Device to Cloud Platform," IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI), 2017.
• [32] Axel Jantsch, Nikil Dutt, and Amir M. Rahmani, "Self-Awareness in Systems on Chip - A Survey," IEEE Design and Test (IEEE-D&T), 2017.
• [31] Tuan Nguyen Gia, Victor Kathan Sarker, Igor Tcarenko, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "Energy Efficient Wearable Sensor Node for IoT-based Fall Detection Systems," Journal of Microprocessors and Microsystems (Elsevier-MICPRO), 2017.
• [30] Farshad Firouzi, Amir M. Rahmani, K. Mankodiya, M. Badaroglu, G.V. Merrett, P. Wong, Bahar Farahani, "Internet-of-Things and Big Data for Smarter Healthcare: From Device to Architecture, Applications and Analytics," Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 2017.
• [29] Amir M. Rahmani, Axel Jantsch, and Nikil Dutt, "HDGM: Hierarchical Dynamic Goal Management for Many-Core Resource Allocation," IEEE Embedded System Letters (IEEE-ESL), 2017.
• [28] Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, and Nikil Dutt, "HiCH: Hierarchical Fog-assisted Computing Architecture for Healthcare IoT," ACM Transactions on Embedded Computing Systems, ESWEEK-TECS special issue (ACM-TECS), 2017.
• [27] Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen, and Nikil Dutt, "Accuracy Aware Power Management for Many-core Systems running Error Resilient Applications," IEEE Transactions on Very Large Scale Integration Systems (IEEE-TVLSI), 2017.
• [26] M.-Hashem Haghbayan, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, "Performance/Reliability-aware Resource Management for Many-Cores in Dark Silicon Era," IEEE Transactions on Computers (IEEE-TC), 2017.
• [25] Mohammad-Hashem Haghbayan, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Cristiana Bolchini, and Hannu Tenhunen, "Can Dark Silicon Be Exploited to Prolong System Lifetime?" IEEE Design and Test (IEEE-D&T), 2017.
• [24] Amir M. Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Pasi Liljeberg, "Exploiting Smart E-Health Gateways at the Edge of Healthcare Internet-of-Things: A Fog Computing Approach," Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 2017.
• [23] Riitta Mieronkoski, Iman Azimi, Amir M. Rahmani, Riku Aantaa, Virpi Terävä, Pasi Liljeberg, Sanna Salanterä, "The Internet of Things for Basic Nursing Care - A Scoping Review," Elsevier International Journal of Nursing Studies (Elsevier-IJNS), 2017.
• [22] Amir M. Rahmani, Pasi Liljeberg, Jose L. Ayala, Hannu Tenhunen, and Alexander V. Veidenbaum, "Special issue on energy efficient multi-core and many-core systems, Part II," Elsevier Journal of Parallel and Distributed Computing (Elsevier-JPDC), 2017.
• [21] Moreno Ambrosin, Arman Anzanpour, Mauro Conti, Tooska Daraghi, Sanaz Rahimi Moosavi, Amir M. Rahmani, Pasi Liljeberg, "On the Feasibility of Attribute-Based Encryption on Internet of Things Devices," IEEE Micro, 2016.
• [20] Amir M. Rahmani, M. Hashem Haghbayan, Antonio Miele, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen, "Reliability-Aware Runtime Power Management for Many-Core Systems in Dark Silicon Era," IEEE Transactions on Very Large Scale Integration Systems (IEEE-TVLSI), 2016.
• [19] Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, "Internet of Things for Remote Elderly Monitoring: A Study from User-Centered Perspective," Springer Journal of Ambient Intelligence and Humanized Computing (Springer-JAIHC), 2016.
• [18] Sanaz Rahimi Moosavi, Tuan Nguyen Gia, Ethiopia Nigussie, Amir M. Rahmani, Seppo Virtanen, Hanuu Tenhunen, and Jouni Isoaho, "End-to-End Security Scheme for Mobility Enabled Healthcare Internet of Things," Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 2016.
• [17] Behailu Negash, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "LISA 2.0: Lightweight Internet of Things Service Bus Architecture Using Node Centric Networking," Springer Journal of Ambient Intelligence and Humanized Computing (Springer-JAIHC), 2016.
• [16] Amir M. Rahmani, Pasi Liljeberg, Jose L. Ayala, Hannu Tenhunen, and Alexander V. Veidenbaum, "Special issue on energy efficient multi-core and many-core systems, Part I, Elsevier Journal of Journal of Parallel and Distributed Computing (Elsevier-JPDC), 2016.
• [15] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Antonio Miele, Mohammad Fattah, Juha Plosila, Pasi Liljeberg, and Hannu Tenhunen, "A Power-Aware Approach for Online Test Scheduling in Many-core Architectures," IEEE Transactions on Computers (IEEE-TC), 2015.
• [14] Amir M. Rahmani, Kameswar Rao Vaddina, Khalid Latif, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "High-Performance and Fault-Tolerant 3D NoC-Bus Hybrid Architecture Using ARB-NET Based Adaptive Monitoring Platform," IEEE Transactions on Computers (IEEE-TC), Vol. 63, No. 3, pp. 734-747, 2014.
• [13] Simon Holmbacka, Mohammad Fattah, Wictor Lund, Amir M. Rahmani, Sébastien Lafond, and Johan Lilius, "A Task Migration Mechanism for Distributed Many-Core Operating Systems," Springer Journal of Supercomputing, Vol. 68, No. 3, pp. 1141-1162, 2014.
• [12] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Special Section on Advances in Methods for Adaptive Multicore Systems," Springer Journal of Supercomputing, Vol. 68, No. 3, pp. 1023-1026, 2014.
• [11] Kameswar Rao Vaddina, Amir M. Rahmani, Mohammad Fattah, Pasi Liljeberg, Juha Plosila, "Design Space Exploration of Thermal-Aware Many-Core Systems," Journal of Systems Architecture (Elsevier-JSA), Vol. 59, No. 10, pp. 1197-1213, 2013.
• [10] Khalid Latif, Amir M. Rahmani, Ethiophia Nigussie, Tiberiu Seceleanu, Martin Radetzki, Hannu Tenhunen, "Partial Virtual Channel Sharing: A Generic Methodology to Enhance Resource Management and Fault Tolerance in Networks-on-Chip," Journal of Electronic Testing: Theory and Applications (Springer-JETTA), Vol. 29, No. 3, pp. 431-452, 2013.
• [9] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Design and Implementation of Reconfigurable FIFOs for Voltage/Frequency Island-Based Networks-on-Chip," Journal of Microprocessors and Microsystems (Elsevier-MICPRO), Vol. 37, No. 4-5, pp. 432-445, 2013.
• [8] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu, Hannu Tenhunen, "Cluster based Networks-on-Chip: An Efficient and Fault-Tolerant Architecture using Network Interface Assisted Routing," International Journal of Adaptive, Resilient and Autonomic Systems (IGI-Global-IJARAS), Vol. 4, No. 3, pp. 25-14, 2013.
• [7] Amir M. Rahmani, Kameswar Rao Vaddina, Khalid Latif, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Design and Management of High Performance, Reliable, and Thermal-Aware 3D Networks-on-Chip," IET Circuits, Devices & Systems Journal (IET-CDS), Vol. 6, No. 5, pp. 308-321, 2012.
• [6] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Exploring a Low-Cost and Power-Efficient Hybridization Technique for 3D NoC-Bus Hybrid Architecture using LastZ-Based Routing Algorithms," Journal of Low Power Electronics (American Scientific Publishers), Vol. 8, No. 4, pp. 403–414, 2012.
• [5] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “Developing a Power-Efficient and Low-Cost 3D NoC Using Smart GALS-Based Vertical Channels,” Journal of Computer and System Sciences (JCSS-Elsevier), Vol. 79, No. 4, pp. 440-456, 2012.
• [4] Pejman Lotfi-Kamran, Ali-Asghar Salehpour, Amir M. Rahmani, Ali Afzali-Kusha, and Zainalabedin Navabi, “Dynamic Power Reduction of Stalls in Pipeline Architecture Processors,” International Journal of Design, Analysis and Tools for Integrated Circuits and Systems (IJDATICS), Vol. 1, No. 1, pp. 9-15, 2011. (Special issue on Low Power Design Methodologies for ICs, SoCs, NoCs, MPSoCs and WSNs)
• [3] Pejman Lotfi-Kamran, Amir M. Rahmani, Masoud Daneshtalab, Ali Afzali-Kusha, and Zainalabedin Navabi, “EDXY - A Smart Congestion-Aware and Link Failure Tolerant Routing Algorithm for Network-on-Chips,” Journal of Systems Architecture (Elsevier-JSA), Vol. 56, No. 7, pp. 256-264, 2010.
• [2] Amir M. Rahmani, Ali Afzali-Kusha, Massoud Pedram, “NED: A Novel Synthetic Traffic Pattern for Power/Performance analysis of Network-on-chips Using Negative Exponential Distribution,” Journal of Low Power Electronics (American Scientific Publishers), Vol. 5, No. 3, pp. 396-405, 2009.
• [1] Amir M. Rahmani, Masoud Daneshtalab, Ali Afzali-Kusha, Massoud Pedram, “Forecasting-Based Dynamic Virtual Channel Management for Power Reduction in Network-on-Chips,” Journal of Low Power Electronics (American Scientific Publishers), Vol. 5, No. 3, pp. 385-395, 2009.

arXiv, medRxiv, and PsyArXiv:

• [6] Natalie Lambert, Survivor Corps, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Charles A. Downs, Heather L. Abrahim, Amir M. Rahmani, Jessica L. Borelli, Rana Chakraborty, Melissa D. Pinto "COVID-19 Survivors’ Reports of the Timing, Duration, and Health Impacts of Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection," medRxiv preprint, DOI: 10.1101/2021.03.22.21254026, 2021.
• [5] Yong Huang, Melissa D Pinto, Jessica L Borelli, Milad Asgari Mehrabadi, Heather Abrihim, Nikil Dutt, Natalie Lambert, Erika L Nurmi, Rana Chakraborty, Amir M. Rahmani, Charles Downs, "COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler: Looking for Clarity in the Haze of the Pandemic," medRxiv preprint, 2021.
• [4] Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani, "Digital Health-Enabled Community-Centered Care (D-CCC): A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop AI," medRxiv preprint, 2021.
• [3] Amir M. Rahmani Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil Dutt, Ramesh Jain, and Jessica L. Borelli, "Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being," arXiv preprint, 2020.
• [2] Jessica Borelli, Jocelyn Lai, Asal Yunusova, Alex P. Rivera, Sina Labbaf, Sirui Hu, Nikil Dutt, Ramesh Jain, and Amir M. Rahmani, "Nine Months in the Life of a College Student During 2020: A Case Study Using Multi-Modal Assessments to Capture Personalized Contexts of Well-being," PsyArXiv preprint, 2020.
• [1] Milad Asgari, Seyed Amir Hossein Aqajari, Iman Azimi, Charles Downs, Nikil Dutt, and Amir M. Rahmani, "Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS," arXiv preprint, arXiv:2011.10470. 2020.

Abstracts:

• [10] Jung-Ah Lee, Eunae Ju, Julie Kim, Eilleen Sabino-Laughlin, Angela Jun, Mike Bueno, Lisa Gibbs, Sanghyuk Shin, Amir M. Rahmani, Adey Nyamathi, “Barriers to dementia care access among ethnic minority family caregivers with limited English proficiency,” AAPINA conference 2023, USA.
• [9] Jung-Ah Lee, Eunae Ju, Eilleen Sabino-Laughlin, Lisa Gibbs, Amir M. Rahmani, Sanghyuk Shin, Priscilla Kehoe, Julie Rousseau, H Nguyen, Anni Qu, and Adey Nyamathi, “Impact of Dementia-Related Behaviors on the Health Status of Diverse Family Caregivers. Western Institute of Nursing annual scientific meeting,” 2022, USA.
• [8] Eunae Ju, Jung-Ah Lee, Priscilla Kehoe, and Amir M. Rahmani, “Effective Sleep Interventions for Community-Dwelling People With Dementia: A Systematic Review,” Western Institute of Nursing, 2021.
• [7] Tamara Jimah, Holly Borg, Priscilla Kehoe, Sina Labbaf, Milad Asgari Mehrabadi, Amir M. Rahmani, Nikil Dutt, and Yuqing Guo, "Two Happy Hearts: A Technology-Based Personalized Health Self-Management Model for Pregnant Women" American Nursing Informatics Association Conference, 2021, USA.
• [6] Negin Sattari, Milad Asgari Mehrabadi, Amir Aqajari, Jing Zhang, Katharine Simon, Elisabet Alzueta, Teji Duali, Massimiliano de Zambotti, Amir M. Rahmani, Fiona Baker, and Sara Mednick, "Sleep Quality Prediction During the Menstrual Cycle based on Daily Sleep Diary Reports" in SLEEP meeting, 2021, USA.
• [5] Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil Dutt, and Andreas Herkersdorf, "Constraint-Awareness in Self-Optimizing MPSoCs" in Self-Awareness in Cyber-Physical Systems Workshop (SelPhys’20), 2020, USA.
• [4] Amir M. Rahmani, Sina Labbaf , Yuqing Guo, Joseph Onwuka, Ali Tazarv, Marco Levorato, and Nikil Dutt, "UNITE Technological Design: Promotion of Maternal Health Equity in Underserved Communities in Orange County, California," Institute for Diversity and Health Equity 2020 National Leadership and Education Conference (NLEC’20), 2020, USA.
• [3] Jung-Ah Lee, Anthony Park, and Amir M. Rahmani, "Sleep Duration and Quality in Dementia Caregivers: Wearable Iot Technology," Western Institute of Nursing's 52nd Annual Communicating Nursing Research Conference (WINURSING’20), 2020, USA.
• [2] Jung-Ah Lee, Sina Labbaf, Amir M. Rahmani, Priscilla Kehoe, and Nikil Dutt, "Wearable Internet-of-Things Technology: An Immigrant Dementia Caregivers Pilot Intervention," The Alzheimer’s Association International Conference (AAIC’19), 2019, USA.
• [1] Jung-Ah Lee, Kajung Hong, Jessica Borelli, and Amir M. Rahmani, "A Culturally Sensitive Dementia Family Caregiver Pilot Study," Western Institute of Nursing's 52nd Annual Communicating Nursing Research Conference (WINURSING’19), 2019, USA.

Conference Papers:

2024

• [185] Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Moosavi, Pasi Liljeberg, Shaista Malik, and Amir M. Rahmani, “ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN'24), 2024, USA.
• [184] Ajan Subramanian, Zhongqi Yang, Iman Azimi, and Amir M. Rahmani, “Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN'24), 2024, USA.
• [183] Yuning Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani and Pasi Liljeberg, “Attention-based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN'24), 2024, USA.
• [182] Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt, "EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables," IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED’24), 2024, USA.
• [181] Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilen, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg, “Impact of Physical Activity on Quality of Life During Pregnancy: a Causal ML Approach,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24), 2024, USA.
• [180] Yong Huang, Charles A. Downs, and Amir M. Rahmani, “Optimizing Warfarin Dosing Using Contextual Bandit: an Offline Policy Learning and Evaluation Method,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24), 2024, USA.
• [179] Ali Rostami, Ramesh Jain, and Amir M. Rahmani, “Food Recommendation As Language Processing (F-RLP): a Personalized and Contextual Paradigm,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24), 2024, USA.
• [178] Ziyu Wang, Zhongqi Yang, Iman Azimi, and Amir M. Rahmani, “Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: a Case Study on Stress Detection,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24), 2024, USA.
• [177] Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh Jain, and Amir M. Rahmani, “Knowledge-Infused LLM-Powered Conversational Health Agent: a Case Study for Diabetes Patients,” 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24), 2024, USA.
• [176] Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu and Amir M. Rahmani, “Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation,” ACM Symposium on Applied Computing (SAC'24), 2024, Spain.
• [175] Hamidreza Alikhani Koshkak, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt, “SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness,” IEEE/ACM Design, Automation and Test in Europe Conference (DATE'24), 2024, Spain.

2023

• [174] Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, and Pasi Liljeberg, “End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction,” 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM'23), 2023, Turkey.
• [173] Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica Borelli, Nikil Dutt, and Amir M. Rahmani, “Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN'23), 2023, USA.
• [172] Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Christopher Marcotullio, Hana Qureshi, Brenda Nguyen, Jessica Borelli, Nikil Dutt, and Amir M. Rahmani, “Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN'23), 2023, USA.
• [171] Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, and Amir M. Rahmani, “Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU,” ACM International Conference on Bioinformatics Research and Applications (ICBRA'23), 2023, Spain.
• [170] Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, and Amir M. Rahmani, “Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings?,” 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23), 2023, Australia.
• [169] Ajan Subramanian, Yong Huang, Melissa D. Pinto, Charles A. Downs, and Amir M. Rahmani, “Estimating the Impact of Pre-Exposure Prophylaxis (PrEP) on Mortality in COVID-19 Patients: A Causal Inference Approach,” 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23), 2023, Australia.
• [168] Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, and Marco Levorato, “Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings,” The IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE'23), 2023, USA.
• [167] Renira Soares, Matheus Isquierdo, Felipe Sampaio, Amir M. Rahmani, Nikil Dutt, Daniel Palomino, and Bruno Zatt, “Error Resilience Evaluation of Approximate Storage in the Motion Compensation of VVC Decoders,” The IEEE Latin American Symposium on Circuits and Systems (LASCAS'23), 2023, Ecuador.
• [166] Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh Jain, “Towards Deep Personal Lifestyle Models using Multimodal N-of-1 Data,” 29th ACM International Conference on MultiMedia Modeling (MMM’23), 2023, Norway.
• [165] Mahyar Abbasian, Elahe Khatibi, Iman Azimi, and Amir M. Rahmani, "PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack," Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’23), 2023, Belgium.
• [164] Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, and Pasi Liljeberg, “Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring,” ACM Symposium on Applied Computing (SAC'23), 2023, Estonia.

2022

• [163] Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil Dutt and Mohsen Imani, “Hyper-dimensional Computing Hybrid Learning on Multi-user Edge-cloud Networks,” IEEE International Conference on Computer Design (ICCD'22), 2022, USA.
• [162] Ali Rostami, Nitish Nagesh, Amir M. Rahmani, Ramesh Jain, “World Food Atlas for Food Navigation,” 7th ACM International Workshop on Multimedia Assisted Dietary Management (MADiMA’22), 2022, Portugal.
• [161] Yong Huang, Rui Cao, Amir M. Rahmani, “Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution,” Machine Learning for Healthcare Conference (MLHC’22), 2022, USA.
• [160] Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil Dutt, “Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing,” ACM Great Lakes Symposium on VLSI (GLSVLSI’22), 2022, USA.
• [159] Rui Cao, Yong Huang, Amir M. Rahmani, Karen Lindsay, “Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach,” 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022, Scotland.
• [158] Salar Jafarlou, Amir M. Rahmani, Nikil Dutt, Sanaz Rahimi Mousavi, “ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks,” 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022, Scotland.
• [157] Mingzhe Jiang, Wanqing Wu, Amir M. Rahmani, Sanna Salanterä, Pasi Liljeberg, “Personal Pain Sensitivity Prediction from Ultra-short-term Resting Heart Rate Variability,” 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022, Scotland.
• [156] Manoj Vishwanath, Nikil Dutt, Amir M. Rahmani, Miranda Lim, Hung Cao, “Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury,” 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022, Scotland.
• [155] Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil Dutt, Amir M. Rahmani, “Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks,” 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022, Scotland.
• [154] Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg, “PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network,” 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022, Scotland.
• [153] Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani, and Nikil Dutt, “Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks,” IEEE International Symposium on Quality Electronic Design (ISQED'22), 2022, Virtual.
• [152] Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt, “AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems,” IEEE/ACM Design, Automation and Test in Europe Conference (DATE'22), 2022, Virtual.

2021

• [151] Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil Dutt, Amir M. Rahmani, Marco Levorato, “Personalized Stress Monitoring Using Wearable Sensors in Everyday Settings,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'21), 2021, Virtual.
• [150] Rui Cao, Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Amir M. Rahmani, “Objective Pain Assessment Using Wrist-Based PPG Signals: A Respiratory Rate Based Method,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'21), 2021, Virtual.
• [149] Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A Downs, Nikil Dutt, Amir M. Rahmani, “Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'21), 2021, Virtual.
• [148] Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani, “An End-To-End and Accurate PPG-Based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'21), 2021, Virtual.
• [147] Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir M. Rahmani, Carolyn Jones, Miranda M. Lim, Hung Cao, “Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram,” 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'21), 2021, Virtual.
• [146] Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, and Marco Levorato, "Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement," ACM International Conference on Information Technology for Social Good (GoodIT’21), 2021, Italy.
• [145] Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, DongJoo Seo, Sung-Soo Lim, Amir M. Rahmani, and Nikil Dutt, "Towards Smart and Efficient Health Monitoring Using Edge-Enabled Situational-Awareness," IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS’21), 2021, Virtual.
• [144] Khuong Vo, Emad Kasaeyan, Amir Naderi, Daniel Jilani, Amir M. Rahmani, Nikil Dutt, and Hung Cao, "P2E-WGAN: ECG Waveform Synthesis from PPG with Conditional Wasserstein Generative Adversarial Networks," The 36th ACM/SIGAPP Symposium On Applied Computing (SAC’21), 2021, Virtual.
• [143] Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil Dutt and Amir M. Rahmani, "pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity," Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’21), 2021, Poland.
• [142] Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, and Pasi Liljeberg, "Lightweight PPG Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection," Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’21), 2021, Poland.
• [141] Elham Shamsa, Anil Kanduri, Amir M. Rahmani, and Pasi liljeberg, “Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems,” in Proc. of 26th Asia and South Pacific Design Automation Conference (ASP-DAC’21), 2021, Japan.

2020

• [140] Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Nikil Dutt, and Amir M. Rahmani, "Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems," IEEE International Conference on Omni-layer Intelligent Systems (COINS’20), 2020, Virtual.
• [139] Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir M. Rahmani, Miranda M. Lim, Hung Cao, “Classification of Mild Traumatic Brain Injury in a Mouse Model Using Machine Learning Approaches,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), 2020, Canada.
• [138] Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil Dutt, "HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge", ACM CHI Conference on Human Factors in Computing Systems, Case Study (CHI'20-Case Study), 2020, USA.
• [137] Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil Dutt, Pasi Liljeberg, "Robust ECG R-peak Detection Using LSTM", The 35th ACM/SIGAPP Symposium On Applied Computing (SAC'20), 2020, Czech.
• [136] Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil Dutt, and Andreas Herkersdorf, "Emergent Control of MPSoC Operation by a Hierarchical Supervisor / Reinforcement Learning Approach," IEEE/ACM Design, Automation and Test in Europe Conference (DATE'20), 2020, France.
• [135] Elham Shamsa, Anil Kanduri, Nima Taherinejad, Alma Proebstl, Samarjit Chakraborty, Amir M. Rahmani, and Pasi liljeberg, “User-centric Resource Management for Embedded Multi-core Processors,” in Proc. of 33rd IEEE International Conference on VLSI Design (VLSID’20), 2020, India.

2019

• [134] Bryan Donyanavard, Armin Sadighi, Florian Maurer, Tiago Mück, Amir M. Rahmani, Andreas Herkersdorf, and Nikil Dutt, "SOSA: Self-optimizing Learning with Self-adaptive Control for Hierarchical SoC Management," IEEE/ACM International Symposium on Microarchitecture (MICRO-52), 2019, USA.
• [133] Momahmmad-Reza Nakhkash, Anil Kanduri, Amir M. Rahmani, and Pasi Liljeberg, "End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications," IEEE Nordic Circuits and Systems Conference (NORCAS’19), 2019, Finland.
• [132] Eberle A. Rambo, Thawra Kadeed, Rolf Ernst, Minjun Seo, Fadi Kurdahi, Bryan Donyanavard, Caio Batista de Melo, Biswadip Maity, Kasra Moazzemi, Kenneth Stewart, Saehanseul Yi, Amir M. Rahmani, Nikil Dutt, Florian Maurer, Nguyen Anh Vu Doan, Anmol Surhonne, Thomas Wild, Andreas Herkersdorf, "The Information Processing Factory: A Paradigm for Life Cycle Management of Dependable Systems," IEEE/ACM ESWEEK (ESWEEK'19), 2019, USA.
• [131] Emad Kasaeyan, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, and Nikil Dutt, "An Edge-Assisted and Smart System for Real-Time Pain Monitoring," IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE’19), 2019, USA.
• [130] Nima TaheriNejad, Peter Lewis, Axel Jantsch, Amir M. Rahmani, and Lukas Esterle, "Resource Constrained Self-Aware Cyber-Physical Systems (Tutorial)," IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO’19), 2019, Sweden.
• [129] Sina Shahosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, "Dynamic Computation Migration at the Edge: Is There an Optimal Choice?," ACM Great Lakes Symposium on VLSI (GLSVLSI’19), 2019, USA.
• [128] Mohammad R. Nakhkash, Tuan Nguyen Gia, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, and Pasi Liljeberg, "Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications," IEEE/ACM International Conference on Omni-layer Intelligent Systems (COINS’19), 2019, Greece.
• [127] Arman Anzanpour, Homayun Rashid, Amir M. Rahmani, Axel Jantsch, Nikil Dutt, and Pasi Liljeberg, "Energy-efficient and Reliable Wearable Internet-of-Things through Fog-Assisted Dynamic Goal Management," Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’19), 2019, Belgium.
• [126] Emad Kasaeyan, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, and Nikil Dutt, "A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things," Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’19), 2019, Belgium.
• [125] Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, and Nikil Dutt, "Goal-Driven Autonomy for Efficient On-chip Resource Management: Transforming Objectives to Goals," IEEE/ACM Design, Automation and Test in Europe Conference (DATE’19), 2019, Italy.

2018

• [124] Amit K. Singh, Geoff Merrett, Amir M. Rahmani, and Akash Kumar, "Spectrum of Run-time Management for Modern and Next Generation Multi/Many-core Systems," Embedded Systems Week 2018: Tutorial on Spectrum of Run-time Management for Modern and Next Generation Multi/Many-core Systems (ESWEEK’18-Tutorial), 2018, Italy.
• [123] Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, and Nikil Dutt, "Goal Formulation: Abstracting Dynamic Objectives for Efficient On-chip Resource Allocation," IEEE Nordic Circuits and Systems Conference (NORCAS’18), 2018, Estonia.
• [122] Carlos M. Betemps, Mateus S. de Melo, Amir M. Rahmani, Antonio Miele, Nikil Dutt, and Bruno Zatt, "Exploring Heterogeneous Task-Level Parallelism in a BMA Video Coding Application using System-Level Simulation," The Brazilian Symposium on Computing Systems Engineering (SBESC’18), 2018, Brazil.
• [121] Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, and Nikil Dutt, "Edge-Assisted Sensor Control in Healthcare IoT," IEEE GLOBECOM (GLOBECOM’18), 2018, UAE.
• [120] Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, and Pasi Liljeberg, "Empowering Healthcare IoT Systems with Hierarchical Edge-based Deep Learning," in ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE'18), 2018, USA.
• [119] Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, and Pasi Liljeberg, "IoT-based Healthcare System for Real-time Maternal Stress Monitoring," in ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE'18), 2018, USA.
• [118] Kasra Moazzemi, Anil Kanduri, David Juhasz, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch and Nikil Dutt, "Trends in On-Chip Dynamic Resource Management," IEEE/Euromicro International Conference on Digital System Design (DSD'18), 2018, Czech.
• [117] Tiago Mück, Nikil Dutt, Antonio Augusto Frohlich, Giovani Gracioli, Amir M. Rahmani, and João Gabriel Reis, "CHIPS-AHOy: A Predictable Holistic Cyber-Physical Hypervisor for MPSoCs," The ACM International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS’18), 2018, Greece.
• [116] Anil Kanduri, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Cristiana Bolchini, and Nikil Dutt, "Approximation-Aware Coordinated Power/Performance Management for Heterogeneous Multi-cores," The 55th IEEE/ACM Design Automation Conference (DAC’18), 2018, USA.
• [115] Amir M. Rahmani, Bryan Donyanavard, Tiago Mück, Kasra Moazemmi, Axel Jantsch, Onur Mutlu, and Nikil Dutt, "SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management," The 23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’18), 2018, USA.
• [114] Bryan Donyanavard, Amir M. Rahmani, Tiago Mück, Kasra Moazemmi, and Nikil Dutt, "Gain Scheduled Control for Nonlinear Power Management in CMPs," IEEE/ACM Design, Automation and Test in Europe Conference (DATE’18), 2018, Germany.
• [113] Armin Sadighi, Bryan Donyanavard, Thawra Kadeed, Kasra Moazzemi, Tiago Mück, Ahmed Nassar, Amir M. Rahmani, Thomas Wild, Nikil Dutt, Rolf Ernst, Andreas Herkersdorf, and Fadi Kurdahi, "Design Methodologies for Enabling Self-awareness in Autonomous Systems," IEEE/ACM Design, Automation and Test in Europe Conference (DATE’18), 2018, Germany.
• [112] Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, and Pasi Liljeberg, "Approximation for Run-Time Power Management," IEEE International Symposium on Circuits and Systems (ISCAS’18), 2018, Italy.
• [111] Axel Jantsch, Arman Anzanpour, Hedyeh Kolerdi, Iman Azimi, Lydia Chaido Siafara, Amir M. Rahmani, Nima TaheriNejad, Pasi Liljeberg, and Nikil Dutt, "Hierarchical Dynamic Goal Management for IoT Systems," IEEE International Symposium on Quality Electronic Design (ISQED’18), 2018, USA.

2017

• [110] Mingzhe Jiang, Riitta Mieronkoski, Amir M. Rahmani, Nora Hagelberg, Sanna Salanterä, and Pasi Liljeberg, "Ultra-Short-Term Analysis of Heart Rate Variability for Real-time Acute Pain Monitoring with Wearable Electronics," IEEE International Conference on Bioinformatics and Biomedicine (BIBM’17), 2017, USA.
• [109] Sina Shahosseini, Kasra Moazzemi, Amir M. Rahmani, and Nikil Dutt, "Dependability Evaluation of SISO Control-Theoretic Power Managers for Processor Architectures," IEEE Nordic Circuits and Systems Conference (NORCAS’17), 2017, Sweden.
• [108] Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, and Amir M. Rahmani, "Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment," International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’17), 2017, Austria.
• [107] Majid Shoushtari, Amir M. Rahmani, and Nikil Dutt, "Quality-Configurable Memory Hierarchy Through Approximation," IEEE/ACM International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (ESWEEK-CASES’17), 2017, South Korea.
• [106] Mai Ali, Tuan Nguyen Gia, Abd-Elhamid Taha, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "Autonomous Patient/Home Health Monitoring Powered by Energy Harvesting," IEEE GLOBECOM (GLOBECOM’17), 2017, Singapore.
• [105] Amir M. H. Monazzah, Majid Shoushtari, Seyed Ghassem Miremadi, Amir M. Rahmani, and Nikil Dutt, "QuARK: Quality-configurable Approximate STT-MRAM Cache by Fine-grained Tuning of Reliability-Energy Knobs," IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED’17), 2017, Taiwan.
• [104] Nikil Dutt, Amir M. Rahmani, Axel Jantsch, "Empowering Autonomy through Self-awareness in MPSoCs," IEEE International NEWCAS Conference (NEWCAS’17), 2017, France.
• [103] Behailu Negash, Tomi Westerlund, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, "DoS-IL: A Domain Specific Internet of Things Language for Resource Constrained Devices," Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’17), 2017, Portugal.
• [102] Tuan Nguyen Gia, Mai Ali, Imed Ben Dhaou, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg and Hannu Tenhunen, "An IoT-based continuous glucose monitoring system: A feasibility study," Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’17), 2017, Portugal.
• [101] Tuan Nguyen Gia, Mingzhe Jiang, Victor Kathan Sarker, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg and Hannu Tenhunen, "Low-cost Fog-assisted Health-care IoT System with Energy Efficient Sensor Nodes," IEEE International Wireless Communications and Mobile Computing Conference (IWCMC’17), 2017, Spain.
• [100] Victor Kathan Sarker, Mingzhe Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir M. Rahmani, and Pasi Liljeberg, "Portable Multipurpose Bio-signal Acquisition and Wireless Streaming Device for Wearables," IEEE Sensors Applications Symposium (SAS’17), 2017, USA.
• [99] Arman Anzanpour, Iman Azimi, Maximilian Götzinger, Amir M. Rahmani, Nima TaheriNejad, Pasi Liljeberg, Axel Jantsch, and Nikil Dutt, "Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics," IEEE/ACM Design Automation and Test in Europe Conference (DATE’17), 2017, Switzerland.
• [98] Maximilian Götzinger, Martin Pongratz, Amir M. Rahmani, and Axel Jantsch, "Parallelized Flight Path Prediction Using a Graphics Processing Unit," International Conference on Computer Vision Theory and Applications (VISAPP’17), 2017, Portugal.
• [97] Uzair A. Noman, Behailu Negash, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, "From Threads to Events: Adapting a Lightweight Middleware for Contiki OS," IEEE Consumer Communications and Networking Conference (CCNC’17), 2017, USA.
• [96] Igor Tcarenko, Yuxiang Huan, David Juhasz, Amir M. Rahmani, Zhuo Zou, Tomi Westerlund, Pasi Liljeberg, Lirong Zheng, and Hannu Tenhunen, "Smart Energy Efficient Gateway for Internet of Mobile Things," IEEE Consumer Communications and Networking Conference (CCNC’17), 2017, USA.

2016

• [95] Tuan Nguyen Gia, Igor Tcarenko, Victor K. Sarker, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "IoT-Based Fall Detection System with Energy Efficient Sensor Nodes," IEEE Nordic Circuits and Systems Conference (NORCAS’16), 2016, Denmark.
• [94] Maximilian Götzinger, Nima Taherinejad, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, and Hannu Tenhunen, "Enhancing the Early Warning Score System Using Data Confidence," International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’16), 2016, Italy.
• [93] Igor Tcarenko, Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification," International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’16), 2016, Italy.
• [92] Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Nikil Dutt, Hannu Tenhunen, "Approximation Knob: Power Capping Meets Energy Efficiency," 35th IEEE/ACM International Conference on Computer-Aided Design (ICCAD’16), 2016, USA.
• [91] Maximilian Götzinger, Amir M. Rahmani, Martin Pongratz, Pasi Liljeberg, Axel Jantsch and Hannu Tenhunen, "The Role of Self-Awareness and Hierarchical Agents in Resource Management for Many-Core Systems," IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC’16), 2016, France.
• [90] Mostafa Shahiri, Mojtaba Valinataj, Amir M. Rahmani, "A Reliable and High-Performance Network-on-Chip Router Through Decoupled Resource Sharing," IEEE International Conference on High Performance Computing & Simulation (HPCS'16), 2016, Austria.
• [89] Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, "Self-Aware Early Warning Score System for IoT-Based Personalized Healthcare," International Conference on IoT and Big Data Technologies for HealthCare (IoTCare’16), 2016, Hungary.
• [88] Ming-Zhe Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir M. Rahmani, Tomi Westerlund, Sanna Salenträ, Pasi Liljeberg, and Hannu Tenhunen, "IoT-based Remote Facial Expression Monitoring System with sEMG Signal," IEEE Sensors Applications Symposium (SAS’16), 2016, Italy.
• [87] Mohammad-Hashem Haghbayan, Antonio Miele, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, "A Lifetime-Aware Runtime Mapping Approach for Many-core Systems in the Dark Silicon Era," IEEE/ACM Design Automation and Test in Europe Conference (DATE’16), 2016, Germany.

2015

• [86] Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Axel Jantsch, Pasi Liljeberg, Hannu Tenhunen, "Dark Silicon Aware Runtime Mapping for Many-core Systems: A Patterning Approach," in Proc. of IEEE International Conference on Computer Design (ICCD’15), 2015, USA.
• [85] Mohammad-Hashem Haghbayan, Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen, "MapPro: Proactive Runtime Mapping for Dynamic Workloads by Quantifying Ripple Effect of Applications on Networks-on-Chip," in Proc. of IEEE/ACM International Symposium on Networks-on-Chip (NOCS’15), 2015, Canada.
• [84] Amir M. Rahmani, Mohammad-Hashem Haghbayan, Anil Kanduri, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, Hannu Tenhunen, "Dynamic Power Management for Many-Core Platforms in the Dark Silicon Era: A Multi-Objective Control Approach," in Proc. of IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED’15), 2015, Italy.
• [83] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Mohammad Fattah, Pasi Liljeberg, Juha Plosila, Zainalabedin Navabi, and Hannu Tenhunen, "Power-Aware Online Testing of Manycore Systems in the Dark Silicon Era," in Proc. of IEEE/ACM Design Automation and Test in Europe Conference (DATE’15), 2015, France.
• [82] Sami Teräväinen, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, "Software-Based On-Chip Thermal Sensor Calibration for DVFS-Enabled Many-core Systems," in Proc. of IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT’15), 2015, USA.
• [81] Mohammad-Hashem Haghbayan, Sami Teräväinen, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, "Adaptive Fault Simulation on Many-core Microprocessor Systems," in Proc. of IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT’15), 2015, USA.
• [80] Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, "Predictable Application Mapping for Manycore Real-Time and Cyber-Physical Systems," in Proc. of IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC’15), 2015, Italy.
• [79] Elmira Karimi, Mohammad Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, and Zainalabedin Navabi, "Accelerated On-Chip Communication Test Methodology Using a Novel High-Level Fault Model," in Proc. of IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC’15), 2015, Italy.
• [78] Amir-Mohammad Amiri, Giuliano Armano, Amir M. Rahmani, Kunal Mankodiya, “PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns”, in Proc. of ACM International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’15), 2015, UK.
• [77] Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, “Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score”, in Proc. of ACM International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’15), 2015, UK.
• [76] Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, “Context-Aware Early Warning System for In-Home Healthcare Using Internet-of-Things”, in Proc. of International Conference on IoT Technologies for HealthCare (HealthyIoT’15), Springer LNICST, 2015, Italy.
• [75] Abdulakeem Odunmbaku, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, “Elderly Monitoring System with Sleep and Fall Detector”, in Proc. of International Conference on IoT Technologies for HealthCare (HealthyIoT’15), Springer LNICST, 2015, Italy.
• [74] Ming-Zhe Jiang, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, “Facial expression recognition with sEMG method”, in Proc. of IEEE International Conference on Computer and Information Technology (CIT’15), 2015, UK.
• [73] Sanaz Rahimi Moosavi, Tuan Nguyen Gia, Ethiopia Nigussie, Amir M. Rahmani, Seppo Virtanen, Hanuu Tenhunen, Jouni Isoaho, “Session Resumption-Based End-to-End Security for Healthcare Internet-of-Things” in Proc. of IEEE International Conference on Computer and Information Technology (CIT’15), 2015, UK.
• [72] Tuan Nguyen Gia, Ming-Zhe Jiang, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, “Fog Computing in Healthcare Internet-of-Things: A Case Study on ECG Feature Extraction,” in Proc. of IEEE International Conference on Computer and Information Technology (CIT’15), 2015, UK.
• [71] Sobhan Niknam, Arghavan Asad, Mahmood Fathy, Amir M. Rahmani, "Energy Efficient 3D Hybrid Processor-Memory Architecture for the Dark Silicon Age," in Proc. of IEEE International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC’15), 2015, Germany.
• [70] Tuan Nguyen Gia, Mingzhe Jiang, Amir M. Rahmani, Tomi Westerlund, Kunal Mankodiya, Pasi Liljeberg, Hannu Tenhunen, "Fog Computing in Body Sensor Networks: An Energy Efficient Approach," in Proc. of IEEE International Body Sensor Networks Conference (BSN’15), 2015, USA.
• [69] Behailu Negash, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "LISA: Lightweight Internet of Things Service Bus Architecture," in Proc. of Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’15), 2015, UK.
• [68] Sanaz Rahimi Moosavi, Tuan Nguyen Gia, Amir M. Rahmani, Ethiopia Nigussie, Seppo Virtanen, Jouni Isoaho, and Hannu Tenhunen, "SEA: A Secure and Efficient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways," in Proc. of Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’15), 2015, UK.
• [67] Tuan Nguyen Gia, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring," in Proc. of IEEE Sensors Applications Symposium (SAS’15), 2015, Croatia.
• [66] Amir M. Rahmani, Nanda Kumar Thanigaivelan, Tuan Nguyen Gia, Jose Granados, Behailu Negash, Pasi Liljeberg, and Hannu Tenhunen, "Smart e-Health Gateway: Bringing Intelligence to Internet-of-Things Based Ubiquitous Healthcare Systems," in Proc. of Annual IEEE Consumer Communications and Networking Conference (CCNC’15), pp. 826-834, 2015, USA.

2014

• [65] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, and Hannu Tenhunen, "Dark Silicon Aware Power Management for Manycore Systems under Dynamic Workloads," in Proc. of 32nd IEEE International Conference on Computer Design (ICCD’14), 2014, South Korea.
• [64] Tuan Nguyen Gia, Nanda Kumar Thanigaivelan, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, "Customizing 6LoWPAN Networks towards Internet-of-Things Based Ubiquitous Healthcare Systems," in Proc. of IEEE International Norchip Conference (NORCHIP’14), 2014, Finland.
• [63] Jose Granados, Amir M. Rahmani, Pekka Nikander, Pasi Liljeberg, and Hannu Tenhunen, "Towards Energy-Efficient HealthCare: an Internet-of-Things Architecture Using Intelligent Gateways," in Proc. of IEEE International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’14), 2014, Greece.
• [62] Anurag, Sanaz Rahimi Moosavi, Amir M. Rahmani, Tomi Westerlund, Geng Yang, Pasi Liljeberg, and Hannu Tenhunen, "Pervasive Health Monitoring Based on Internet of Things: Two Case Studies," in Proc. of IEEE International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’14), 2014, Greece.
• [61] Jose Granados, Amir M. Rahmani, Pekka Nikander, Pasi Liljeberg, and Hannu Tenhunen, "Web-Enabled Intelligent Gateways for eHealth Internet-of-Things," in Proc. of Springer International Conference on IoT Technologies for HealthCare (Healthy-IoT’14), 2014, Italy.
• [60] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, "Energy-Efficient Concurrent Testing Approach for Many-Core Systems in the Dark Silicon Age," in Proc. of IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT’14), pp. 269-274, 2014, Netherlands.
• [59] Mohammad-Hashem Haghbayan, Bijan Alizadeh, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, "Automated Formal Approach for Debugging Dividers Using Dynamic Specification," in Proc. of IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT’14), pp. 263-268, 2014, Netherlands.
• [58] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, "Online Testing of Many-Core Systems in the Dark Silicon Era," in Proc. of IEEE 17th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS’14), pp. 141-146, 2014, Poland.
• [57] Mohammad Fattah, Amir M. Rahmani, Thomas Canhao Xu, Anil Kanduri, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, "Mixed-Criticality Run-Time Task Mapping for NoC-Based Many-Core Systems," in Proc. of IEEE/Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP’14), pp. 458-465, 2014, Italy.

2013

• [56] Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Kaiyu Wan, Ka Lok Man, and Juha Plosila, "A Multicore Approach to Model-Based Analysis and Design of Cyber-Physical Systems," in Proc. of IEEE International SoC Design Conference (ISOCC'13), 2013, South Korea.
• [55] Sanaz Rahimi Moosavi, Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, "Enhancing Performance of 3D Interconnection Networks Using Efficient Multicast Communication Protocol," in Proc. of IEEE/Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP’13), pp. 294-300, 2013, UK.

2012

• [54] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, Ka Lok Man, Youngmin Kim, and Hannu Tenhunen, "Partial-LastZ: An Optimized Hybridization Technique for 3D NoC Architecture Enabling Adaptive Inter-Layer Communication," in Proc. of International SoC Design Conference (ISOCC'12), pp. 281-284, 2012, South Korea.
• [53] Sanaz Rahimi Moosavi, Chia-Yuan Chang, Amir M. Rahmani, Juha Plosila, Ka Lok Man, Taikyeong T. Jeong, Eng Gee Lim, "An Efficient History-Based Routing Algorithm for Interconnection Networks," in Proc. of International SoC Design Conference (ISOCC'12), pp. 277-280, 2012, South Korea.
• [52] Mouna Karmani, Chiraz Khedhiri, Belgacem Hamdi, Amir M. Rahmani, Ka Lok Man and Kaiyu Wan, "Design of a Reliable XOR-XNOR Circuit for Arithmetic Logic Units," in Proc. of IFIP International Conference on Network and Parallel Computing (NPC'12) as Lecture Notes in Computer Science (Springer-LNCS), pp. 521-528, 2012, South Korea.
• [51] Mouna Karmani, Chiraz Khedhiri, Belgacem Hamdi, Amir M. Rahmani, Ka Lok Man, "A Self-Test and Self-Repair Approach for Analog Integrated Circuits," in Proc. of IEEE Baltic Conference on Future Internet Communications (BCFIC'12), pp. 117-120, 2012, Lithuania.
• [50] Amir M. Rahmani, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Power and Thermal Analysis of Stacked Mesh 3D NoC Using AdaptiveXYZ Routing Algorithm", in Proc. of IEEE/Euromicro International Conference on Digital System Design (DSD'12), pp. 208-215, 2012, Turkey.
• [49] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu, and Hannu Tenhunen, "Designing a High Performance and Reliable Networks-on-Chip using Network Interface Assisted Routing Strategy", in Proc. of IEEE/Euromicro International Conference on Digital System Design (DSD'12), pp. 34-41, 2012, Turkey.
• [48] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu, and Hannu Tenhunen, "A Cluster-Based Core Protection Technique for Networks-on-Chip," in Prof. Real-Time, Embedded and Physical Systems track of IEEE Computer Software and Applications Conference (COMPSAC'12), pp. 360-361, 2012, Turkey.
• [47] Amir M. Rahmani, Kameswar Rao Vaddina, Khalid Latif, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “Generic Monitoring and Management Infrastructure for 3D NoC-Bus Hybrid Architectures”, in Proc. of IEEE/ACM International Symposium on Networks-on-Chip (NOCS’12), pp. 177-184, 2012, Denmark.
• [46] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “An Efficient Hybridization Scheme for Stacked Mesh 3D NoC Architecture”, in Proc. of IEEE/Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP’12) in Special Session on On-Chip Parallel and Network-Based Systems, pp. 507-514, 2012, Germany.
• [45] Amir M. Rahmani, Khalid Latif, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “ARB-NET: A Novel Adaptive Monitoring Platform for Stacked Mesh 3D NoC Architectures,” in Proc. of IEEE/ACM International Asia and South Pacific Design Automation Conference (ASP-DAC’12), pp. 413-418, 2012, Australia.

2011

• [44] Kameswar Rao Vaddina, Amir M. Rahmani, Khalid Latif, Pasi Liljeberg and Juha Plosila, “Thermal modeling and analysis of advanced 3D stacked structures,” in Proc. of Elsevier International Conference on Communication Technology and System Design (ICCTSD’11), pp. 248-257, 2011, India.
• [43] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu, and Hannu Tenhunen, “A Low-Cost Processing Element Recovery Mechanism for Fault Tolerant Networks-on-Chip,” in Proc. of IEEE International Norchip Conference (NORCHIP’11), pp. 1-4, 2011, Sweden.
• [42] Amir M. Rahmani, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, "Power and Area Optimization of 3D Networks-on-Chip Using Smart and Efficient Vertical Channels," in Proc. of International Conference on Power and Timing Modeling, Optimization and Simulation (PATMOS’11) as Lecture Notes in Computer Science (Springer-LNCS), pp. 278-287, 2011, Spain.
• [41] Khalid Latif, Amir M. Rahmani, Ethiopia Nigussie, Tiberiu Seceleanu, Hannu Tenhunen, "A Novel Topology-Independent Router Architecture to Enhance Reliability and Performance of Networks-on-Chip," in Proc. of IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT’11), pp. 454-462, 2011, Canada.
• [40] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “LastZ: An Ultra Optimized 3D Networks-on-Chip Architecture,” in Proc. of IEEE/Euromicro International Conference on Digital System Design (DSD’11), pp. 173-180, 2011, Finland.
• [39] Kameswar Rao Vaddina, Amir M. Rahmani, Khalid Latif, Pasi Liljeberg and Juha Plosila, “Thermal Analysis of Job Allocation and Scheduling Schemes for 3D Stacked NoC's” in Proc. of IEEE/Euromicro International Conference on Digital System Design (DSD’11), pp. 643-648, 2011, Finland.
• [38] Khalid Latif, Amir M. Rahmani, Kameswar Rao Vaddina, Tiberiu Seceleanu, Pasi Liljeberg, and Hannu Tenhunen, "Enhancing Performance Sustainability of Fault Tolerant Routing Algorithms in NoC-Based Architectures," in Proc. of IEEE/Euromicro International Conference on Digital System Design (DSD’11), pp. 626-633, 2011, Finland.
• [37] Khalid Latif, Amir M. Rahmani, Kameswar Rao Vaddina, Tiberiu Seceleanu, Pasi Liljeberg, and Hannu Tenhunen, “Enhancing Performance of NoC-Based Architectures using Heuristic Virtual-Channel Sharing Approach,” in Proc. of Real-Time, Embedded and Physical Systems track of IEEE Computer Software and Applications Conference (COMPSAC’11), pp. 442-447, 2011, Germany.
• [36] Amir M. Rahmani, Khalid Latif, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, “Congestion Aware, Fault Tolerant, and Thermally Efficient Inter-Layer Communication Scheme for Hybrid NoC-Bus 3D Architectures,” in Proc. of 5th IEEE/ACM International Symposium on Networks-on-Chip (NOCS’11), pp. 65-72, 2011, USA.
• [35] Amir M. Rahmani, Khalid Latif, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, “A Stacked Mesh 3D NoC Architecture Enabling Congestion-Aware and Reliable Inter-Layer Communication,” in Proc. of IEEE/Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP’11) in Special Session on On-Chip Parallel and Network-Based Systems, pp. 423-430, 2011, Cyprus.
• [34] Khalid Latif, Amir M. Rahmani, Liang Guang, Tiberiu Seceleanu, Hannu Tenhunen, “PVS-NoC: Partial Virtual-Channel Sharing NoC Architecture,” in Proc. of IEEE/Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP’11), pp. 470-477, 2011, Cyprus.

2010

• [33] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu, Hannu Tenhunen, “Power- and Performance-Aware IP Mapping for NoC-Based MPSoC Platforms,” in Proc. of IEEE International Conference on Electronics Circuits and Systems (ICECS’10), pp. 760-763, 2010, Greece.
• [32] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “An Efficient VFI-Based NoC Architecture Using Johnson-Encoded Reconfigurable FIFOs,” in Proc. of IEEE International Norchip Conference (NORCHIP’10), 2010, Finland.
• [31] Amir M. Rahmani, Khalid Latif, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “Research and Practices on 3D Networks-on-Chip Architectures,” in Proc. of IEEE International Norchip Conference (NORCHIP’10), 2010, Finland.
• [30] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “Exploring a Low-Cost Inter-layer Communication Scheme for 3D Networks-on-Chip,” in Proc. of IEEE 15th International Symposium on Computer Architecture & Digital Systems (CADS’10), pp. 183-186, 2010, Iran.
• [29] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “An Efficient 3D NoC Architecture Using Bidirectional Bisynchronous Vertical Channels,” in Proc. of 2010 IEEE Computer Society Annual Symposium on VLSI (ISVLSI’10), pp. 452-453, 2010, Greece.
• [28] Amir M. Rahmani, Masoud Daneshtalab, Pasi Liljeberg, and Hannu Tenhunen, “Power-Aware NoC Router Using Central Forecasting-Based Dynamic Virtual Channel Allocation,” in Proc. of IEEE International Symposium on Circuits and Systems (ISCAS’10), pp. 3224-3227, 2010, France.
• [27] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “Power and Performance Optimization of Voltage/Frequency Island-Based Networks-on-Chip Using Reconfigurable Synchronous/Bi-Synchronous FIFOs,” in Proc. of ACM International Conference on Computing Frontiers (CF’10), pp. 267-276, 2010, Italy.
• [26] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “Developing Reconfigurable FIFOs to Optimize Power/Performance of Voltage/Frequency Island-Based Networks-on-Chip,” in Proc. of IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS’10), pp. 105-110, 2010, Austria.

2009

• [25] Amir M. Rahmani, Iman Kamali, Pejman Lotfi-Kamran, Ali Afzali-Kusha, and Saeed Safari, “Negative Exponential Distribution Traffic Pattern for Power/Performance Analysis of Network on Chips,” in Proc. of 22st IEEE International Conference on VLSI Design (VLSID’09), pp. 157-162, 2009, India.
• [24] Amir M. Rahmani, Masoud Daneshtalab, Ali Afzali-Kusha, Saeed Safari, and Massoud Pedram, “Forecasting-based Dynamic Virtual Channels Allocation for Power Optimization of Network-on- Chips,” in Proc. of 22st IEEE International Conference on VLSI Design (VLSID’09), pp. 151-156, 2009, India.

2008

• [23] Amir M. Rahmani, Masoud Daneshtalab, Ali Afzali-Kusha, and Saeed Safari, “Power Efficient Switches with Dynamic Virtual Channel Allocation for Network-on-Chips,” in Proc. of 5th IEEE International Conference on Innovations in Information Technology (Innovations’08), pp. 121-125, 2008, UAE.
• [22] Ali-Asghar Salehpour, Masoud Zamani, Amir M. Rahmani, Siamak Mohammadi, Hossein Pedram, and Mohammadreza Binesh Marvasti, “A Novel Test Environment for Template based QDI Asynchronous Circuits,” in Proc. of 15th IEEE International Conference on Electronics, Circuits, and Systems (ICECS’08), pp. 526-529, 2008, Malta.
• [21] Pejman Lotfi-Kamran, Amir M. Rahmani, Ali-Asghar Salehpour, Ali Afzali-Kusha, and Zainalabedin Navabi, “Stall Power Reduction in Pipelined Architecture Processors,” in Proc. of 21st IEEE International Conference on VLSI Design (VLSID’08), pp. 541,546, 2008, India.
• [20] Amir M. Rahmani, Ali-Asghar Salehpour, Masoud Zamani, Siamak Mohammadi, and Hossein Pedram, “An Efficient Fault Simulator for Template based QDI Asynchronous Circuits,” in Proc. of 4th IEEE Southern Conference on Programmable Logic (SPL’08), pp. 99-104, 2008, Argentina.

Technical Reports:

• [19] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Awet Yemane Weldezion, Pasi Liljeberg, Juha Plosila, Axel Jantsch, and Hannu Tenhunen, "Adaptive Power Capping for Dark Silicon Many-Core Systems," TUCS Technical Reports 1149, Turku Centre for Computer Science (TUCS), 2015, ISBN = {978-952-12-3325-8}.

Refereed Workshops, Forums, and Work-in-Progress Sessions:

• [18] Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, "Self-Aware Approximation for Dynamic Power Management" in Self-Awareness in Cyber-Physical Systems Workshop (SelPhys’16) co-located with CPS-Week 2016, Austria.
• [17] Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, "Self-Aware Internet-of-Things Based Medical Early Warning Score System" in Self-Awareness in Cyber-Physical Systems Workshop (SelPhys’16) co-located with CPS-Week 2016, Austria.
• [16] Behailu Negash, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, “Enabling Layered Interoperability for Internet of Things Through LISA," Design Automation and Test in Europe Conference, DATE University Booth, 2016, Germany.
• [15] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Dynamic Power Management and Test for Many-Core Platforms in the Dark Silicon Era," in Proc. of International Workshop on Manufacturable and Dependable Multicore Architectures at Nanoscale (MEDIAN-Finale’15), 2015, Estonia.
• [14] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Mohammad Fattah, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Power-Aware Online Detection of Hardware Defects for Manycore Systems with DVFS Support," in Proc. of International Workshop on Manufacturable and Dependable Multicore Architectures at Nanoscale (MEDIAN-DATE’15) co-located with DATE 2015, 2015, France.
• [13] Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, "Distributed BIST Approach for Power Constrained Many-Core Systems," in Proc. of Joint MEDIAN–TRUDEVICE Open Forum Co-Located with IEEE 17th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (MEDIAN-DFT’14), 2014, Netherlands.
• [12] Amir M. Rahmani, Kameswar Rao Vaddina, Khalid Latif, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "Low-Cost Monitoring Platform for 3D Networks-on-Chip," in Proc. of Work in Progress Session of the Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (WiP-PDP’12), 2012, Germany. (ISBN 978-3-902457-31-8)
• [11] Khalid Latif, Amir M. Rahmani, Kameswar Rao Vaddina, Tiberiu Seceleanu, and Hannu Tenhunen, "Processing Element Core Protection Using PVS-NoC Architecture," in Proc. of Work in Progress Session of the Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (WiP-PDP’12), 2012, Germany. (ISBN 978-3-902457-31-8)
• [10] Kameswar Rao Vaddina, Khalid Latif, Amir M. Rahmani, Pasi Liljeberg, and Juha Plosila, "Interaction of Hotspots in Advanced 3D Stacked Systems," in Proc. of Work in Progress Session of the Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (WiP-PDP’12), 2012, Germany. (ISBN 978-3-902457-31-8)
• [9] Amir M. Rahmani, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, "High-performance, Power-Aware and Reliable 3D NoC Architectures," in PhD Forum Booklet of IEEE/ACM International Asia and South Pacific Design Automation Conference (ASP-DAC’12), pp. 23-24, 2012, Australia.
• [8] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu and Hannu Tenhunen, "Design of a High-Performance and Secure Networks-on-Chip," in Proc. of International Workshop on Dependable and Secure Industrial and Embedded Systems (WORDS'11), 2011, Sweden.
• [7] Amir M. Rahmani, Khalid Latif, Kameswar Rao Vaddina, Pasi Liljeberg, Juha Plosila, and Hannu Tenhunen, “Power-Efficient Inter-Layer Communication Architectures for 3D NoC," in Proc. of 2011 IEEE Computer Society Annual Symposium on VLSI (ISVLSI’11), Ph.D. Forum, pp. 355-356, India.
• [6] Kameswar Rao Vaddina, Amir M. Rahmani, Khalid Latif, Pasi Liljeberg, Juha Plosila, “Thermal Modeling and Analysis of Advanced 3D stacked systems in a Flip-Chip Package,” in Proc. of 2011 IEEE Computer Society Annual Symposium on VLSI (ISVLSI’11), Ph.D. Forum, pp. 371-372, India.
• [5] Amir M. Rahmani, Khalid Latif, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen, “Power-Aware Architecture for 3D Networks-on-Chip”, in Proc. of Work in Progress Session of the Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (WiP-PDP’11), 2011, Cyprus. (ISBN 978-3-902457-29-5)
• [4] Khalid Latif, Amir M. Rahmani, Tiberiu Seceleanu, Hannu Tenhunen, “Exploring an Efficient Resource Management Technique for NoC Routers”, in Proc. of Work in Progress Session of the Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (WiP-PDP’11), 2011, Cyprus. (ISBN 978-3-902457-29-5)

Theses:

• [3] Amir M. Rahmani, "Exploration and Design of Power-Efficient Networked Many-Core Systems," Ph.D. Thesis, TUCS Dissertations 153, University of Turku, 2012, ISBN 978-952-12-2817-2.
• [2] Amir M. Rahmani, "UT-Gate: A Smart e-Health Gateway for Telecare and Telehealth (Business Plan)," MBA Thesis, Turku School of Economics, University of Turku, 2014.
• [1] Amir M. Rahmani, "Power Consumption Analysis and Improvement in Networks-on-Chip and Multiprocessor System-on-Chip," M.Sc. Thesis, School of Electrical and Computer Engineering, University of Tehran, 2009.