Kursat's Homepage

Education

2016.08 - Present

School of Electrical and Computer Engineering, Cornell University
PhD candidate, advised by Prof. Lang Tong
Fields: Machine learning, and statistical inference with applications in energy and smart power systems.
GPA: 4.15/4

2011.08 - 2016.07

2018 Best paper award, IEEE PESGM, "State Estimation for Unobservable Distribution Systems via Deep Learning"
2016 Irwin and Joan Jacobs Scholarship, Cornell University
2011 Full Undergraduate Stipend, TUBITAK (The Scientific and Technological Research Council of Turkey)
2011 Gold Medal in Mathematics, International Zhautykov Olympiad Almaty, Kazakhstan
2011 Bronze Medal, International SilkRoad Mathematical Olympiad

K. R. Mestav, and L. Tong
"Learning the Unobservable: High-Resolution State Estimation via Deep Learning"
57th Annual Allerton Conference on Communication, Control, and Computing, 2019.
K. R. Mestav, J. Luengo-Rozas, and L. Tong,
"Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning"
IEEE Transactions on Power Systems, 2019
K. R. Mestav, J. Luengo-Rozas, and L. Tong
"State Estimation for Unobservable Distribution Systems via Deep Neural Networks"
IEEE Power Energy Society" General Meeting, 2018.

2018.11-2019.05, Visiting Researcher, Chalmers University of Technology, Gothenborg, Sweden,
2015.10-2016.05, Senior Project, Human Detection and Tracking with Multi-sensor, Bilkent University, Turkey
2015.05-2012.08, Research Intern, GNSS CRPA Array Processing, Fraunhofer IIS Nurenberg, Germany

Spring 2018, Teaching Assistant for "Introduction to Probability and Inference for Random Signals and Systems" (ECE 3110), Cornell University
Fall 2017, Grader for "Machine Learning with Biomedical Data" (ECE 5970), Cornell University
Spring 2014, Teaching Assistant for "Calculus II" (Math 102), Bilkent University
Summer 2013, Teaching Assistant for "Algorithms and Programming I" (CS 101), Bilkent University