ACADEMIC PROFILE
About Me
I study how computers can help us understand the brain.
I am a B.Sc. graduate in Computer Engineering from the University of Tehran. My research interests include brain network modeling, complex network analysis, and AI in neuroscience.
For my undergraduate thesis, I developed deep learning models for emotion recognition from EEG signals using the FACED dataset under the supervision of Dr. Hossein Aghababa. Alongside my research, I have experience in teaching, applied AI, and software development.
Research interests
- Brain Network Modeling
- Complex Network Analysis
- AI in Neuroscience
Research & projects
CURRENT RESEARCH
Brain Network Modeling
Reviewing recent studies and reproducing published results in brain network modeling to examine their underlying assumptions and methods.
Conducting computational experiments to assess how modeling choices influence simulated brain dynamics.
Brain networksNetwork modeling
B.SC. THESISEmotion Recognition
from EEG Signals
Developed deep learning models for EEG-based emotion recognition on the FACED dataset, using CNN and LSTM models.
Supervisor: Dr. Hossein Aghababa
EEGDeep learningFACED
RESEARCH PROJECTHandwritten Multi-Digit
Recognition
Designed an RNN-based architecture for handwritten number recognition on the CAR-A/B datasets.
RNNsComputer vision
RESEARCH PROJECTProject Lighthouse — A proposed visual task-prioritization system integrating user interaction analytics.
Education
2021 — 2025
Experimental Science Diploma
National Organization for Development of Exceptional Talents (Sampad)
17thNationwide rank
M.Sc. Entrance Examination in Information Technology
Teaching & academic service
Teaching assistantships across undergraduate courses at the University of Tehran.
Conference service
Editorial and executive staff member for IPRIA 2023 and CYSP 2022–2024, contributing to LaTeX preparation of conference proceedings and event organization.
Experience
2023 — 2026
Software Engineer
Seagull Cybernetics
Developed Android and web applications with an emphasis on performance and user experience. Collaborated with a cross-functional team on backend services.
Summer 2023
AI Research Intern
Roshan AI
Worked on multi-digit handwritten number recognition and image preprocessing as part of an applied AI research project.
Selected software projects +
- Libz — Android application for optimizing Google Drive storage.
- GrowUp — Android application for task management and note-taking.
- Inventory Management System — Product and user management for retail stores.
Technical toolkit
- Programming
- Python · Java · SQL
- Machine learning
- PyTorch · Scikit-Learn · TensorFlow · Keras
- Data analysis
- Pandas · NumPy · Matplotlib
- Tools
- Git · Linux · LaTeX