Hello, my name is Enes Ulaş Dinçer. I graduated as the first-ranked student from Istanbul Technical University’s Control and Automation Engineering department in 2022. After working 7 months at BAYKAR, focusing on simulation and modeling, specifically Hardware-in-the-Loop (HIL) systems, I commenced a direct PhD at Koç University. I am a KUIS AI fellow, currently studying in the mechanical engineering department. My research focuses on physical human-robot interaction (pHRI) under the supervision of Prof. Çağatay Başdoğan. I have a strong foundation in AI, reinforced by courses in Deep Learning, Reinforcement Learning, and Medical Image Processing. My work primarily involves integrating AI to enhance robot responsiveness in dynamic interaction environments.
Hi, I am Osman Batur İnce. I am a KUIS AI Fellow and 2nd year PhD student in Koç University COMP department. I graduated with a BSc in CS from Bilkent University in 2022. I am lucky to work with professors Aykut Erdem and Erkut Erdem on NLP and multimodal learning.
I am Görkay Aydemir, currently pursuing my PhD in Computer Engineering. I completed my undergraduate studies in Computer Engineering at Middle East Technical University in 2022, and started my graduate studies following a year’s break. I engaged in a long-term internship with Fatma Güney, who is now my PhD advisor. Our works are published in top ML venues.
My name is Andrew, and I am a first year PhD student in computer science and engineering. I am from the US, but I finished my bachelor’s degree at Koç. I have been involved in AI research for about 1.5 years. I first got involved with AI research when I took a deep unsupervised learning class taught by Aykut Erdem, and wanted to become more involved in that topic. I have done research in both Natural Language Processing and Computer Vision, but my current research focus is Computer Vision.
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.
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.
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.
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.