I'm Hossein Fathollahian
As a passionate PhD student at UIC, I'm deeply engaged in the fields of AI and Machine Learning, Visual Analytics, and Human-Computer Interaction, where I explore innovative ways to transform complex data and interactions into meaningful, impactful insights.
At UIC, my work focuses on biomedical data visualization, medical imaging, and brain connectomics. I apply AI, Machine Learning, and Human-Computer Interaction to design advanced visualization and computer vision techniques that uncover complex patterns in biomedical data. By integrating intelligent algorithms with human-centered design, I aim to make biomedical insights more interpretable, actionable, and impactful for both researchers and clinicians.
About Me
I'm a Ph.D. student in Computer Science at the University of Illinois Chicago (UIC) under the supervision of Prof. G. Elisabeta (Liz) Marai. I obtained my master's in Telecommunication Engineering at Shahid Beheshti University of Tehran, Iran. I'm currently working as a Research Assistant at the Electronic Visualization Laboratory (EVL). My research interests are Visualization, Computer vision, and Image processing.
Looking for an opportunity to research in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.
Experience
1- Graduate Research Assistant
Electronic Visualization Laboratory (EVL), UIC
- Working on advanced visualization techniques for medical imaging data
- Developing computer vision algorithms for image analysis
- Collaborating with interdisciplinary teams on healthcare applications
2- Graduate Teaching Assistant
University of Chicago Illinois
- CS 141: Introduction to Computer Science(Prof. Mark Hodges)
- CS 251: Data Structures and Algorithms(Prof. Daniel Ayala)
- CS 211: Computer Programming practicum(Prof. Scott Reckinger)
3- Head of Low Voltage System Design and Research and Development
MENIC Co., Tehran, Iran
- Designing, consulting, and implementing telecommunication and low voltage systems in industrial plants and buildings (CCTV, telephone, speakers, fire alarms, paging, and computer networks)
- Leading innovation and strategy in research and development to drive technological advancement and growth
4- Image Processing Specialist
Shahid Beheshti University, Tehran, Iran
- Image and video feature extraction and pattern recognition in textiles and painting quality measurement
- MATLAB and Python programming for various image processing tasks
Skills
Programming Languages
Python
JavaScript
C++
Java
Databases
MySQL
PostgreSQL
Shell & Scripting
Shell Scripting
Unix Shell
Data Science Libraries
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Web Frameworks
Django
Flask
Node.js
Bootstrap
Deep Learning Frameworks
TensorFlow
PyTorch
Keras
Tools & Technologies
Git
AWS
Heroku
Unity
Projects
1- Medical Image Visualization
Advanced visualization techniques for medical imaging data analysis.
2- Optimizing Camera Position for Minimal Occlusion and Maximum Interaction
This project focuses on determining the best camera placement to reduce visual obstructions while enhancing interaction efficiency. Using computational techniques and analysis, we aim to develop an algorithm for optimal camera positioning, which can be applied in gaming, virtual reality, and other interactive environments.
3- AI‑Powered Lymph Node Detection in Mammography for Early Cancer Detection
This project utilizes AI and advanced image processing techniques to detect lymph nodes in mammography images. The goal is to aid in early diagnosis and improve accuracy in breast cancer assessment. By automating the detection process, we aim to reduce human error and provide better outcomes for patients.
Portfolio
Publications
[Journal] 1- "Video Quality Measurement Based on 3-D Singular Value Decomposition" Journal of Visual Communication and Image Representation, Volume 27, February 2015, Pages 1‑6. Farah Torkamani‑Azar, Hassan Imani, Hossein Fathollahian.
This paper introduces a novel method for measuring video quality using 3D Singular Value Decomposition (SVD). The study explores how SVD can be applied to enhance visual communication and image representation, offering insights into improving video quality analysis techniques.
Education
University of Illinois at Chicago
UIC, USA
Degree: PhD Student in Computer Science
GPA: 4.0/4.0
Relevant Coursework:
- Computer Vision/ Data Visualization/ Video Game Design
- Data Structure/ Computer Algorithms/ DataBase Systems
- Artificial Intelligence/ Machine Learning
- Advance Computer Vision(3D)/ Advance Stat NLP
Tehran, Iran
Degree: M.S. Student in Telecommunication Engineering
GPA: 3.8/4.0
Relevant Coursework:
- Image Processing
- Signal Processing
- Source and Channel Coding