Student Profiles
STUDENT PROFILES
Ahmet Canberk Baykal, PhD student in Computer Science and Engineering
I received my B.S. degree in Electrical and Electronics Engineering from Bilkent University in 2020. Since then I’ve been studying at Koç University and doing research on Generative AI at KUIS AI Center. I received my M.Sc. degree in 2022 and started PhD here. My supervisors are Assoc. Prof. Aykut Erdem and Prof. Deniz Yuret. I specifically work on text-guided image editing, in
which we manipulate images based on textual descriptions. I also work on other projects involving domain adaptation and video synthesis.
Nazir Nayal, MSc student in Computer Science and Engineering
Hi, I’m Nazir. I am currently a fellow at the Koç University & İş Bankası AI (KUIS AI) Center and an MSc Student at Koç University. I am also a member of the Autonomous Vision Group (AVG), working under the supervision of Asst. Prof. Fatma Güney and João F. Henriques from the Visual Geometry Group at Oxford University. I am generally interested in applications of deep learning in computer vision, open-world learning, and uncertainty estimation. My project is about detecting rare events and unknown objects in driving scenarios.
Nafiseh Jabbari Tofighi, MSc student in Computer Science and Engineering
My name is Nafiseh Jabbari Tofighi, and I am 25 years old. I completed my bachelor’s degree in Computer Engineering at Tabriz University, where I developed a keen interest in the field of computer science. During my undergraduate studies, I discovered the fascinating world of AI research, and it captured my imagination with its boundless possibilities. My focus has been on computer vision, specifically saliency prediction based on AI algorithms. Currently, I am pursuing my master’s degree at Koc University, where my research involves working on state-of-the-art deep learning methods for 360-degree image and video quality assessment.
Vahideh Hayyolalam, PhD student in Computer Science and Engineering
I am Vahideh Hayyolalam, a Ph.D. student in Computer Science and Engineering. I started AI when I was involved with NP-hard optimization problems in cloud computing during my master’s. I got familiar with meta-heuristic algorithms and then introduced my own algorithm BWO accordingly. Then, During my Ph.D., I started working on Machine Learning, Deep Learning, and Federated Learning. As a result, I’ve published more than five papers related to the impact of edge intelligence on connected healthcare systems, heart disease detection using machine learning, and so on. The full publication list is available in my Google Scholar.