I'm Hossein Fathollahian
As a passionate PhD candidate 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.
I'm a Ph.D. candidate 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 visual analytics and computer vision, which provides professional development, interesting experiences and personal growth.
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
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
1- Communication Department: AI‑Enhanced Modeling of Human Communication Behaviors (Prof. Zizi Papacharissi)
Location: Chicago, IL | Position: Researcher (Since Fall 2025)
Contribution: I am pleased to serve in the Department of Communication under the supervision of Professor Zizi Papacharissi. In this role, I support projects that utilize AI and machine learning to enhance our understanding of human communication, integrating computational methods with communication research to identify meaningful patterns in how people interact.
2- Argonne National Laboratory: SAGE Project (Prof. Michael E. Papka)
Location: Chicago, IL | Position: Researcher (Since Summer 2025)
Contribution: Contributed to the NSF‑funded SAGE project in collaboration with Argonne National Laboratory. Developed AI pipelines for sensor data using NVIDIA Jetson edge devices. Focused on real‑time data integration and deployment of ML models.
3- STProject: Multi‑Region Analysis of Spatial Transcriptomics
Contribution: I helped design and implement Loom's multi‑view and glyph‑based visualization framework to support cross‑sample analysis and discovery of spatiotemporal gene‑expression patterns in spatial transcriptomics.
Tools: Python, R, AI
4- BI‑LAVA: A Visual Analytics and Active Learning System for Biomedical Image Taxonomies
Contribution: Developed a Computer vision caption finding and Frontend upgrading.
Tools: Web development, Database, Machine Learning
5- Camera Best View Positioning for Multidimensional Biomedical Imaging
Contribution: Propose and conduct new Algorithm based on 3D Gaussian splatting.
Tools: MATLAB, Python, Deep‑Learning
6- Early stage Axillary Lymph node detection in mammography image
Contribution: Leveraging radiomics extraction instead of only segmentation for improving machine learning efficiency.
Tools: MATLAB, Python, Deep Learning, data labeling
Other Categories
Machine Learning
AI Research
1. [J] Farah Torkamani‑Azar, Hassan Imani, Hossein Fathollahian. "Video Quality Measurement Based on 3‑D Singular Value Decomposition." Journal of Visual Communication and Image Representation, Volume 27, February 2015, Pages 1–6. doi:10.1016/j.jvcir.2014.12.004.
2. [J] Tayebi, Safiyeh, Ayse Sert Oti, Hossein Fathollahian, and Ubydul Haque. " Mapping War Trauma: A Machine Learning Approach to Predict Mental Health Impacts in Ukraine." SSM–Population Health, 2025:101879. doi:10.1016/j.ssmph.2025.101879
3. [C] Hossein Fathollahian, Siyuan Zhao, Nafiul Nipu, and G. Elisabeta Marai. "Attention‑Based ROI Discovery in 3D Tissue Images." IEEE Transactions on Visualization and Computer Graphics, Bio+MedVis Challenge, Nov 2025, pages 2‑4
4. [C] Hossein Fathollahian, Marziye Salahshour. " From Peaks to Patterns." IEEE Transactions on Visualization and Computer Graphics, Bio+MedVis Challenge, Nov 2025, pages 22‑24
5. [UR] Siyuan Zhao, Nafiul Nipu, Hossein Fathollahian, Ameen Salahudeen, Hao Chen, Olga Karginova, and G. Elisabeta Marai. "Loom: Multi‑Region Analysis of Spatial Transcriptomics with Local Neighborhoods and Global Trajectories." ( EuroVis 2026, under review)
6. [UR] Hossein Fathollahian, Siyuan Zhao, Nafiul Nipu, Wei Tang, Saeed BoorBoor, and G. Elisabeta Marai. "ConGAT: A Context‑Aware Graph Attention Network for Region‑of‑Interest Discovery in Multichannel Microscopy Environments." (ICHI 2026, under review)
University of Illinois Chicago
Chicago, USA
Degree: PhD candidate in Computer Science
GPA: 3.88/4.0
Relevant Coursework:
- Human-Computer Interaction/ Data Visualization/ Video Game Design
- Computer Algorithms/ Database/ Data Structure/ Software Engineering
- Artificial Intelligence/ Machine Learning
- Computer Vision/ Advance Computer Vision (3D)/ Advance Stat NLP
Tehran, Iran
Degree: M.Sc. in Telecommunication Engineering
GPA: 3.8/4.0
Relevant Coursework:
- Image Processing
- Signal Processing
- Source and Channel Coding