CV
Research Interests
- My research interests lie in the general area of data science, particularly in reinforcement learning and its applications in textual, financial, and health data, as well as online markets, algorithmic trading, and recommender systems
Education
- Ph.D. in Artificial Intelligence, Amirkabir University of Technology, Tehran, Iran (2022-now)
- M.Sc. in Computer Engineering, AI, Shahid Beheshti University, Tehran, Iran (2020-2022)
- B.Sc. in Computer Engineering, Shahid Beheshti University, Tehran, Iran (2012-2016)
- Diploma in Mathematics and Physics, Hakim Nezami High School, Qom, Iran (2008-2012)
Work experience
- Snapp! (Oct 2023 — Jan 2024)
- Data Scientist / Address Team
- Rayanesh Mobin Hooshyar (Aug 2021 — Mar 2022)
- Data Scientist / Quantitative Researcher
- Avan Software Technology Advisors (ASTA) (Jan 2020 — Aug 2021)
- Software Engineer / Product Manager
- Checkup team
- Software architecture consultant, software quality assurance specialist
- Freelance (Apr—Oct 2019)
- Data Engineer
- Information extraction from the web using Scrapy, MongoDB, Django
- Freelance (Jun 2016 — Feb 2020)
- Full-stack Developer
- Design and implementation of web services using Ruby on Rails, PHP, Python
- Aryan Satellite (Jun 2015)
- Intern
- deploy a local networking for the company
Activities
- Artificial Intelligence Summer Camp (2020)
- DigikalaNext Innovation Center
- Topics covered: startup ecosystem, pitch deck, lean canvas, cost‑benefit analysis, revenue projection, team building, work with remote teams, planning POC and MVP
- Data Science Winter School (Dec 2019)
- IEEE Student Branch, University of Tehran
- Topics covered: Fundamentals of data science, statistical inference, linear algebra, convex optimization, machine learning, deep learning
Teaching Assistance Experience
- Amirkabir University of Technology
- Convex Optimization, Dr. Mazlaghani (Fall 2023)
- Deep Reinforcement Learning, Prof. Ebadzadeh (Fall 2023)
- Shahid Beheshti University
- Advanced Data Mining, Dr. Talebpour (Spring 2022)
- Shahid Beheshti University
- Artificial Intelligence, Dr. Mehrnoush Shamsfard (June 2015)
- Software Engineering, Dr. Mahmoud Neshati (February 2016)
- Discrete Mathematics, Dr. Farshad Safaei (June 2015, October 2013)
- Introduction to Programming, Dr. Ahmad Mahmoudi Aznaveh (June 2013)
Publications
- Naemeh Mohammadpour, Meysam Fozi, Mohammad Mehdi Ebadzadeh, Ali Azimi, and Ali Kamalie Iglie. Proximal policy optimization with adaptive generalized advantage estimate. In Proceedings of the First International Conference on Machine Learning and Knowledge Discovery (MLKD 2024), 2024. (Paper)