Academic profile
Currently I am a Ph.D. student in Business Analytics at the University of Cincinnati, Lindner College of Business. For my undergraduate degree, I pursued Financial Management at the University of Tehran, Faculty of Management. My research focus is on empirical asset pricing using machine learning. My research also involves theoretical and empirical properties of machine learning and deep learning methods, as well as the advantages and disadvantages of ML compared to conventional statistical methods.
In addition to my research, I have been also involved in teaching and mentoring students since 2021 with more than 2K in-person and online students in Iran and United States in total. I have more than 100 hours of recorded class videos in this area (See teaching section). I enjoy explaining quantitative methods in economics, econometrics, and finance, with an emphasis on building intuition behind formal models and bridging theory with practical applications using Python programming language.
Also, I have a long-standing interest in chess, which has shaped my analytical thinking, and I value discipline and consistency through regular physical training.
Selected peer-reviewed and working research in finance, economics, and machine learning.
Computational Economics, 60 (2), 781-815. Citations: 24
2021 26th International Computer Conference, Computer Society of Iran (CSICC). Citations: 22
Iranian Journal of Economic Studies, 9 (2), 527-548. Citations: 8
Journal of Financial Management Perspective, 11 (34), 145-171. Citations: 6
Financial Management Strategy, 11 (2), 77-96. Citations: 2
arXiv preprint arXiv:2405.09932. Citations: 5
Governmental Accounting, 9 (2), 187-206
I teach core business analytics courses to undergraduate students at Lindner College of Business, University of Cincinnati.
Courses as Independent Instructor:
| Summer 2026 | Business Analytics II |
Courses as Graduate Teaching Assistant:
| Spring 2026 | Business Analytics II | By Dr. Iman Attari |
| Fall 2025 | Management of Operations | By Professor Rao Uday |
| Fall 2025 | Operations Planning and Scheduling | By Professor Rao Uday |
At the University of Wisconsin-Milwaukee Department of Economics, I conducted weekly review sessions, summarized class materials, and solved problems for undergraduate macroeconomics courses. I also held regular office hours and contributed exam questions.
| Spring 2025 | Principles of Macroeconomics | By Professor Mohsen Bahmani-Oskooee |
| Fall 2024 | Principles of Macroeconomics | By Doctor Antu Murshid |
| Fall 2024 | Principles of Macroeconomics | By Professor Rebecca Neumann |
Iran's National Traffic and Transportation Association
At Mofid, I collaborated on research and development for prediction projects. My responsibilities included
Ershad Damavand Institute of Higher Education
Applied research projects and reproducible code connected to asset pricing, forecasting, and data science.
A research project focused on building and analyzing stock-level characteristics for asset pricing applications. The project organizes market and firm-level signals into a reproducible data workflow for studying cross-sectional return patterns and machine learning models in empirical asset pricing.
Developed an encoder-decoder architecture based on Long Short-Term Memory (LSTM) networks to forecast short-term traffic flow across three major metropolitan highways in Tehran. The model leverages sequential time-series data to capture complex temporal dependencies and generate multi-step ahead predictions, supporting more efficient traffic management and congestion analysis.
Applied the YOLOv8 framework to drone-captured video data to detect and count vehicles in large-scale parking lots. The system processes aerial footage in real time, leveraging deep learning-based object detection to accurately localize and track cars across frames, enabling scalable parking utilization analysis and monitoring.
