Finance
Market models built from stochastic differential equations, Lévy and jump processes, and fractional PDEs, together with explainable learning for pricing and default prediction.
7 researchers
-
Mohammad Reza Ahmadi
PhD candidate
Mohammad Reza Ahmadi is a Ph.D. candidate in Applied Mathematics with a focus on Financial Mathematics at Amirkabir University of Technology. He earned his Master's degree in Financial Mathematics from the University of Isfahan.
-
Akram Karimi
MSc student
Master student in financial mathematics
-
Elnaz Ramezani
MSc student
Elnaz Ramezani is a master's student in Financial Mathematics. My project focuses on default prediction using explainable machine learning models. Additionally, I am interested in data science and work as a data analyst, utilizing Power BI, SQL, and Python.
-
Mohaddeseh Heidari
MSc student
Mohaddeseh Heidari is a Master's student in Applied Mathematics, specializing in Numerical Analysis at Amirkabir University. Her thesis is focused on predicting cryptocurrency prices using machine learning methods.
-
Mohammad Mahdi Hajiabbasi
phd student
Mohammad Mahdi Haji Abbasi is a graduate student in the Artificial Intelligence Master's program at Amirkabir University of Technology, currently in his third semester with an outstanding GPA of 19.
-
Ulduz Heidary
MBA student · Finance
Ulduz Heidary is a master’s student in MBA-Finance. Her research applies machine learning to improve investment strategies and market forecasting. She is interested in practical approaches to addressing financial challenges.
-
Zahra Ghobadi
MSc student
Zahra Ghobadi is a Master student at Amirkabir University of Technology, working on financial data analysis and machine/deep learning algorithms.