Amir Rajabi.

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

B.SC. THESIS

Emotion 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 PROJECT

Handwritten Multi-Digit
Recognition

Designed an RNN-based architecture for handwritten number recognition on the CAR-A/B datasets.

RNNsComputer vision
RESEARCH PROJECT

Project Lighthouse — A proposed visual task-prioritization system integrating user interaction analytics.

Education

Experimental Science Diploma

National Organization for Development of Exceptional Talents (Sampad)

17th

Nationwide rank
M.Sc. Entrance Examination in Information Technology

Teaching & academic service

Teaching assistantships across undergraduate courses at the University of Tehran.

Teaching assistantships
Course / UniversityRoleTerm
Artificial IntelligenceUniversity of Tehran · Dr. FouladiHead TAFall 2024
Logic CircuitsUniversity of Tehran · Dr. AghababaTAFall 2024
Electric CircuitsUniversity of Tehran · Dr. AghababaTAFall 2024
Fundamentals of Computer and ProgrammingUniversity of Tehran · Dr. GhiasiHead TAFall 2023
Advanced ProgrammingUniversity of Tehran · Dr. GhiasiTASpring 2023
Fundamentals of Computer and ProgrammingUniversity of Tehran · Dr. GhiasiTAFall 2022

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

GET IN TOUCH

Let’s connect.

For academic and research inquiries, you can reach me by email.

amir.rajabi.heshin@gmail.com