Download Full version of My CV here.

Education

• M.Sc. in Computer Engineering, University of Tehran (2021 – 2024)
  GPA: 17.29/20
  • Thesis: Retweet Prediction using Graph Neural Networks and Representation Learning
  • Supervisor: Dr. Masoud Asadpour
• B.Sc. in Electrical Engineering, Amirkabir University of Technology - Tehran Polytechnic (2016 – 2021)
  GPA (Last Two Years): 17.1/20
  • Supervisor: Dr. Mohammad Bagher Menhaj

Research Experience

• Research Assistant, Social Network Laboratory, University of Tehran (October 2021 – Present)
  • Developing interaction prediction models on X (formerly Twitter) using structural and textual embeddings.
  • Focused on graph-based user behavior prediction.
• Research Assistant, Columbia University, USA (January 2024 – Present)
  • Developing clinical decision-support pipelines using large language models (LLMs) for real-time applications.
  • Mentor: Dr. Maryam Zolnoori.
• Research Assistant, Nottingham Trent University, UK (February 2024 – Present)
  • Conducting systematic reviews on deep learning approaches for early Alzheimer’s Disease detection using EEG.
  • Collaborating with multidisciplinary researchers, including Dr. Mufti Mahmud and Dr. Nadja Heym.
• Research Assistant, Computational Intelligence Lab, Amirkabir University (January 2021 – September 2021)
  • Investigated reinforcement learning approaches for solving differential games.
  • Developed a user interface for game visualization and control.

Technical Skills

• Programming/Scripting: Python, C/C++, R, MATLAB, SQL/NoSQL
• Machine Learning Tools: PyTorch, TensorFlow, HuggingFace Transformers, Scikit-learn, OpenCV
• Cloud & Development Tools: AWS, Docker, Jupyter Notebook, Git, Visual Studio Code
• Embedded Systems: STM32, Arduino, Raspberry Pi, PLC
• Soft Skills: Teamwork, Problem-Solving, Time Management

Selected Publications

• “Deep Learning Approaches in EEG Analysis for Early Detection of Alzheimer’s Disease and Mild Cognitive Impairment: A Mini Systematic Review”
  Authors: Tahoura Morovati*, Hamed Vaezi*, Sepehr Karimi*, et al.
  Published in: International Conference on Applied Intelligence and Informatics (Accepted, 2024).

• “Enhancing Alzheimer’s Detection with Reasoning-Augmented In-Context Learning”
  Authors: MohammadJavad Momeni*, Sepehr Karimi*, Dr. Maryam Zolnoori
  Status: Under preparation.

*Equal contribution.

Honors and Achievements

• Ranked 16th in the national Ph.D. entrance exam for Iranian universities (2023).
• Ranked within the top 0.1% in the national master’s entrance exam for Iranian universities (2021).
• Ranked within the top 0.4% in the nationwide B.Sc. entrance exam (2016).

Language Skills

• English: Fluent (TOEFL Score: 104 – Listening: 29, Reading: 27, Speaking: 25, Writing: 23).
• Persian: Native.

Selected Projects

• FAQ Chatbot (NLP Course Project, 2023):
  • Developed a chatbot to handle domain-specific FAQs (e.g., TV sales and healthcare) using intent detection and slot-filling techniques.
• Question Answering on Knowledge Graphs using DDQN (RL Course Project, 2023):
  • Built a reinforcement learning-based agent to answer multi-hop questions over a knowledge graph using Double DQN.
• Stock Prediction using Sentiment Analysis of Social Media (Social Networks Course, 2022):
  • Designed a model combining sentiment analysis and price indicators to forecast stock prices over 24–48 hours.
• Developed ML Classifiers for EEG Data Analysis (Machine Learning Course, 2022):
  • Implemented machine learning classifiers for EEG data with performance evaluations.