About
I am Ayse Tursucular, a 3rd-year PhD student in Machine Learning in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, advised by Prof. Nagi Gebraeel. Previously, I completed a B.Sc. in Industrial Engineering and a B.A. in Economics at Koç University.
My research focuses on causal inference and federated learning in interconnected physical systems. I am particularly interested in:
(i) Distributed & Federated Learning: how models can be learned collaboratively across heterogeneous physical systems.
(ii) Causal Discovery & Inference: theory and methods for learning causal relationships and estimating causal effects.
(iii) Dynamic Network Inference: how interdependencies among interconnected dynamical systems can be identified and interpreted from data.
Education
Ph.D. in Machine Learning, 2024 - Present
Department: Industrial and Systems Engineering
GPA: 4.00 / 4.00
B.Sc. in Industrial Engineering, 2023, GPA: 3.88 / 4.00
Track in Financial Engineering
B.A. in Economics, 2023, GPA: 3.82 / 4.00
Track in Mathematical Economics