Farzad Habibi

Background

About

My name is Farzad Habibi. I'm a second-year Ph.D. student studying Computer Science at the University of California, Irvine. Previously, I studied a B.Sc. in Computer Engineering at the University of Tehran and worked for 9 month as a full-time software engineer at Radin Bourse where we were developing an ultra-low latency trading platform. My interests are mainly in Distributed Systems and Data Management, and I also love programming. :)

Education

Computer Science, Doctorate of Philosophy, University of California, Irvine
Jan, 2022 - Present
Distributed Systems

Data Management
Computer Engineering, Bachelor of Science, University of Tehran
Sep, 2016 - Apr, 2021
Software Engineering
Physics and Mathematics, Diploma, Sampad, Helli 4
Sep, 2011 - Sep, 2016

Work Experience

Graduate Research Assistant, UC Irvine, Edge Lab
Jan, 2022 - Present
Doing research on building data infrastructure for distributed systems under supervison of Prof. Faisal Nawab.
Software Engineer, Radin Bourse
Feb, 2021 - Nov, 20219 months
Building a brand-new matching engine core for Iran's national stock
Undergraduate Research Assistant, University of Tehran
Mar, 2020 - Mar, 20211 year
Working on virtual network embedding (VNE) which is a well-known problem in network virtualization. I started to learn about Graph Neural Networks which is a novel machine learning architecture by reading abundance number of related papers. We leveraged this method to solve the VNE problem.
Machine Learning Intern, University of Tehran Science and Technology Park
Jul, 2019 - Oct, 20193 months
I was part of the machine learning group. During this 320 hours internship, interns started to read the Hands-on Machine Learning book and participate in Kaggle competitions besides. My internship’s notebooks can be found here.
- PAD Laboratory
- Under the supervision of Prof. B. Bahrak
Software Engineer Intern, Rahnema College
Jun, 2018 - Sep, 20183 months
- 8-Week internship with scrum methodology
- We designed and implemented an IOS/Andriod application with a feature combination of Instagram & Pinterest
- Developed in React Native as front-end and django as back-end

Publications

Accelerating Virtual Network Embedding with Graph Neural Networks , IEEE/ACM/IFIP Conference on Network and Service Management (CNSM 2020)
Published on: Sep 01, 2020
virtual network embedding (VNE) is a well-known problem in network virtualization. We leveraged Graph Neural Networks which is a novel machine learning architecture for graphs to solve this problem with a better performance and scalability.
PeloPartition: Improving Blockchain Resilience to Network Partitioning , 2022 IEEE International Conference on Blockchain (Blockchain)
Published on: Aug 22, 2022
we explore the impact of network partitions on blockchain networks and present a sharding protocol to overcome their negative impact.
Analyzing soft and hard partitions of global-scale blockchain systems , 2022 IEEE International Conference on Blockchain (Blockchain)
Published on: Aug 22, 2022
our goal is to lay the groundwork for the introduction of new blockchain architectures to minimize the harm caused during partitions and facilitate rapid and uncontroversial recovery from them.

Awards

CS Department Dean’s Fellowship , UC Irvine
Awarded on: Sep 01, 2021
I have been nominated for a one-time 10,000$ Dean's Award to support my research in 2021/2022
Best Undergraudate Final Project Award , University of Tehran
Awarded on: Mar 01, 2021
Top 10% of Class , University of Tehran
Awarded on: Mar 01, 2021
Ranked among the top 10% of the graduating class which included 88 student
Iran's University Entrance Exam , Sanjesh
Awarded on: Aug 01, 2016
Ranked 325 (Top 0.2%) in Konkur(Iranian University Entrance Exam) among more than 160,000 participants

Interests

Personal
CookingCampingTravellingHikingVideo GamesVolley Ball
Music
Alternative RockProgressive RockIndieFree Jazz

Volunteer Work

Teaching Assistant, University of Tehran
Sep, 2018 - Feb, 2021
- Introduction to Programming and Computing Systems. H. Moradi, M.R. Hashemi (Projects' Supervisor)
- Advanced Programming, R. Khosravi (Head Teaching Assistant)
- Operating Systems, M. Kargahi
- Computer Networks, A. Khonsari
- Data Structure, H. Faili
- Cyber-Physical Systems, M. Kargahi
- Computer Architecture, S. Safari
- Internet Engineering, E. Khamespanah
ML Instructor, IEEE UT Student Branch
Dec, 2019 - Feb, 2020
IEEE Data Science Winter School of Machine Learning
Editor, ACM UT Student Branch, F1 Magazine
Feb, 2016 - May, 2016
F1 is the magazine of University of Tehran’s Computer Engineering Department

Skills

Programming
C++

Java
Programming
C

Python

JavaScript

VerilogHDL
Programming
SQL

PHP
Programming
Shell Script

Assembely

C#
Technologies
Git

Maven

MakeFile
Machine Learning
Pandas

NumPy

PyTorch

Scikit-Learn

Jupyter Notebook

GNN

FNN
Frameworks
Docker

Ansible

JUnit

Familiar with Kubernetes
Web Development
React

React Native

Redux

Spring

Django
Markup Languages
HTML

Latex

Markdown

CSS
Software Engineering
oo design patterns

Agile

Scrum

software testing methodologies
Operating Systems
Linux

MacOS

Certificates

Cloud Computing Concepts, Part 2, Coursera
Issued on: Dec 01, 2020
Cloud Computing Concepts, Part 1, Coursera
Issued on: May 01, 2020

Projects Experience

Repllicated Postgres
This project provide a multi-node replication system for postgres db. It will replicate data from a leader into two other replications, and it can tolerate leader failure for transactions.
Peter DB
A full implementation of a database system consists of Paged File Manager, Record Based File Manager, Relation Manager, Index Manage, and QueryEngine.
Virtual Network Routing
Represents a distance-vector network routing protocol among virtual nodes that are connected via interfaces.
Key-Value Store + Gossip membership protocol
A full implementation of a distributed key-value store inspired by the Cassandra key- value database using a three-layer architecture.
House Prices: Advanced Regression Techniques
Using advanced regression techniques like random forest and gradient boosting to predict house prices. (Rank 213 between 5,523 teams in Kaggle)
Fraud Detection
Using a full exploratory data analysis (EDA), feature engineering and comparing different training models to propose a method to detect frauds in the IEEE-CIS dataset.
Gnutella Implementation
A full implementation of a peer-to-peer file-sharing system implemented in python and mininet.
P. OS
A cloned xv6 kernel with some added features for CPU scheduling, memory management, and synchronization.
TCP Over UDP
An implementation of TCP New Reno over UDP, with reliable data transfer, congestion control, and flow control. Also this im- plementation includes the Nagle algorithm.
Proxy Server
An implementation of a proxy server in application layer with some extra features like accounting, privacy, caching, etc.
Cyber Physical Systems Course's Projects
A series of projects to become familiar with embedded hardware and real-time software
Real-Time Robotic Arm
A real-time robotic arm with recording functionality and high optimization in storage usage.
MIPS
Implementation of MIPS CPU using VerilogHDL. It includes three phases: single-cycle, single-cycle with pipeline, and multi-cycle.
SmoolaCompiler
Implementation of a compiler for an object-oriented language called Smoola from scratch - Implemented in Java in four phase.
Titanic Classification
An analysis on Titanic disaster to find out what sorts of people were likely to survive using Machine Learning.
Joboonja
Implementation of a web application for finding projects to do if you are qualified for them. - Implemented in Java(Spring framework) for backend and JavaScript(React js) for frontend.
Store Search
Filtering files content and sorting them ascend/descend by field using multiprocess and using pipes to connecting them
Intelligent PacMan
Using different searching algorithms (Astar, IDS, BFS) to design an intelligent PacMan in a modified version of the game.