Mohammad Mahdi Masoumian
About #
Mohammad Mahdi Masoumian is a researcher in Quantitative Finance and Machine Learning with an academic background in Industrial Engineering, specializing in Systems Modeling and Data Analytics. His work focuses on the design and development of Algorithmic Trading systems, data-driven forecasting models for financial markets, and the application of artificial intelligence techniques to financial data analysis.
His research interests include the development of data-driven Decision Support Systems, trading algorithm design, and the evaluation of intelligent systems in dynamic financial environments. His master’s research was dedicated to the practical application of data-driven forecasting models in financial markets.
Research and Professional Interests #
- Algorithmic Trading and Trading System Development
- Machine Learning and Data-Driven Forecasting Models
- Financial Data Analytics and Time Series Modeling
- Optimization Algorithms and Portfolio Management
- Trading Decision Support Systems
- Simulation and Performance Evaluation of Trading Strategies
Explore completed projects, including trading and decision-support algorithms, in the Projects section.
Explore publications, research findings, and working papers in the publications section.
Education #
M.Sc. in Industrial Engineering — Systems Modeling and Data Analytics #
K. N. Toosi University of Technology | 2023–2025
B.Sc. in Industrial Engineering — Systems Engineering #
Tafresh University | 2019–2023
Academic Achievements #
- Ranked 10th Nationwide in the Iranian National Scientific Olympiad in Industrial Engineering | 2023
- Outstanding Undergraduate Student | 2022–2023
- Secretary of the Industrial Engineering Student Scientific Association | 2023
Teaching Experience #
- Teaching Assistant, Probability Theory and Project Control | 2022
- Instructor of Python Programming, Tafresh University | 2026–Present
Contact #
Email: mm.masoumian@gmail.com
Telegram: @mahdi_masoumian
Location: Iran – Tehran