Students
 |
Abdulfattah SafaPhD Student MS: Birzeit University, Computing, 2019 BS: Birzeit University, Major: Electrical Engineer, Minor: Computer Science, 2011 |
Natural language processing, Knowledge extraction, Semantic web |
 |
Ahmet Kerem ÖzfaturaMS Student BS: Özyeğin University, Computer Engineering, 2021 |
My research interest includes adversarial attacks, robust learning, and federated learning (FL), specifically communication bottleneck, data heterogeneity, byzantine, and backdoor attacks in FL
|
 |
Aleyna KütükMSc Student BS: Sabancı University, Computer Science and Engineering, 2021
|
My research interests include Sketch Recognition. Currently, I am focused on using linguistic relations between the pairwise object classes in the sketched scene through topic modeling |
 |
Ali SafayaPhD Student BS: Sakarya University, Computer Engineering, 2019 |
I am doing a direct PhD with Prof. Dr. Deniz Yüret. I like language models (all of them, not just transformers). I am interested in computational linguistics. I am working in parallel on several tracks of NLP, including, but not limited to language modeling, information extraction, and conversational AI |
 |
Aydın AhmadiMS Student BS: University of Tabriz, Computer Engineering, 2021 |
My research interests include reinforcement learning and deep learning for robotics. |
 |
Barışcan KurtkayaMS Student BS: Yıldız Technical University, Electronics and Communication Engineering, 2023 |
My research interests lie in computer vision and machine learning, specifically in areas such as scene understanding, including unsupervised representation learning, and generative modeling, which encompasses diffusion models. My goal is to deepen my theoretical knowledge to publish prominent articles that are both theoretically grounded and empirically explained. |
 |
Berke Levent CesurMS Student BS:Koç University, Computer Engineering, 2019 |
Medical Image Analysis with Deep Learning |
 |
Can GözpınarMS Student BS: Koç University, Computer Eng. & Electrical and Electronics Eng. Double Major, 2022 |
I am interested in the theory and applications of deep learning systems. My research involves directed exploration methods in deep reinforcement learning and discriminative self-supervised learning. |
 |
Can KüçüksözenPhD Student MS: Koç University, Computer Science and Engineering, 2022 BS: Bilkent University, Electrical and Electronics Engineering, 2017 |
I am interested in holistic scene understanding in image and video data containing single/multiple objects, their attributes, and relationships. Specifically, I concentrate on combining methodologies from attentional models in deep learning, graph neural networks, and unsupervised learning schedules to create novel Computer Vision models that address the problems of image classification, object detection, keypoint detection, and scene graph generation. |
 |
Cansu KorkmazPhD Student MS: Koc University, Electrical and Electronics Engineering, 2021 BS: Koç University, Electrical and Electronics Engineering, 2019 |
I am interested in deep learning methods used image processing and computer vision. Specifically, I have been working on the efficiency and large-scale analysis of image super-resolution methods. |
 |
Damla ÖvekPhD Student BS: Koç University, Molecular Biology & Genetics, Computer Engineering, 2017 |
I am interested in computational biology and bioinformatics. In particular, I focus on protein-protein interactions, and the computational prediction of interfaces, hot spots, and hot regions using machine learning approaches. |
 |
Doğan SağbiliPhD Student MS: Koç University, Computer Engineering, 2021 |
Novel programming models in emerging architectures. |
 |
Emre Can AçıkgözMS Student BS: Koç University, Electrical and Electronics Engineering 2022 |
Deep Learning, Natural Language Processing, Multimodal Learning |
 |
Gökçe İymenMS Student Data Science BS: Middle East Technical University, Industrial Engineering, 2019 |
I am interested in deep learning applications. I am currently working on the generative models used for audio generation. My focus will be on obtaining audio-based formative feedback for affective speech. |
 |
Gürkan SoykanPhD: Koç University, Computer Science and Engineering MS: Koç University, Computer Science and Engineering, 2023 BS: Sabanci University, Computer Science and Engineering, 2018 |
I am interested in interplay between language and vision. Accordingly, my current focus is to be able to come up with deep learning models that could understand the visual language of comics. |
 |
Hamza GörgülüMS Student BS: Yıldız Technical University, Electrical Engineering, 2021 |
My research interests lie in the fields of Natural Language Processing(NLP) and Computer Vision(CV), with a specific focus on investigating and advancing NLP techniques for the purpose of time series forecasting.m |
 |
Ibrahim ShoerPhD Student MS: Istanbul Medipol University, Electrical and Electronics Engineering and Cyber Systems, 2020 BS: Alexandria University, Communication and Electronics, 2016 |
Machine Learning |
 |
Kaan Adil AkanPhD Student MS Koç University, Computer Science and Engineering, 2022 BS: Middle East Technical University, 2020 |
My research interests include machine learning and computer vision, with special interest in video understanding, video prediction, video object detection and tracking. |
 |
Mehmet Bahadır ErdenMS Student BS: Boğaziçi University, Industrial Engineering, 2022 |
Time Series Analysis, Machine Learning, Computer Vision |
 |
Mert ÇökelekPhD: Koç University, Computer Science and Engineering MS: Koç University, Computer Science and Engineering, 2023 BS: Hacettepe University, Computer Engineering, 2021 |
My research interests lie in Deep Learning and Computer Vision. I am currently working on 360-degree Audio-Visual Saliency Prediction |
 |
Mısra YavuzMS Student BS: Boğaziçi University, Computer Engineering, 2021. |
I am interested in deep learning and computer vision. Currently, my research focus includes few-shot learning and long-tail learning for rare events detection in autonomous driving |
 |
Nafiseh Jabbari TofighiMS Student BS: University of Tabriz, Computer Engineering, 2021 |
My research interests focus on Computer Vision and Deep Learning. In particular, I am working on 360-degree image and video quality assessments. |
 |
Nasrin RahimiPhD Student MS: University of Tabriz, Iran, Electrical and Computer Engineering, 2016 BS: University of Tabriz, Iran, Electrical and Computer Engineering, 2014 |
I am interested in Image and Video Processing and Computer Vision using deep neural networks. In particular, I am focused on video restoration tasks such as dynamic scene deblurring/super-resolution (spatio-temporally varying degradation models). |
 |
Nazır NayalPhD: Koç University, Computer Science and Engineering MS: Koç University, Computer Science and Engineering, 2023 BS: Koç University, Computer Engineering, 2021 |
Deep Learning, Computer Vision, Few-Shot Learning, Rare Events Detection in Autonomous Driving |
 |
Onur KeleşPhD Student MS: Boğaziçi University, Electrical and Electronics Engineering, 2019 BS: Boğaziçi University, Electrical and Electronics Engineering, 2016 |
I am currently working on image restoration (denoising, deblurring) and single-image super-resolution. |
 |
Ronglei JiPhD Student MS: Istanbul Technical University, Communication Systems, 2019 |
I’m working on Deinterlacing and Video Frame Interpolation using Deep Learning. |
 |
Sadra SafadoustPhD Student MS Koç University, Computer Science and Engineering, 2022 BS: Sharif University of Technology, Computer Engineering, 2019 |
I am interested in deep learning for computer vision. Currently, I am working on the monocular depth estimation task. |
 |
Samet DemirPhD Student BS: Boğaziçi University, Computer Engineering, August 2020 |
 |
Seher ÖzçelikPhD Student MS: Koç University, Mathematics, 2006 BS: Istanbul Technical University, Physics Eng. & Mathematics Eng. Double Major, 2003
|
Deep Learning, Medical Data |
 |
Vahideh HayyolalamPhD Student |
My research focuses on distributed machine learning, particularly Federated Learning. I also investigated how machine learning and edge intelligence empowers connected healthcare. Moreover, previously, I had worked on optimization and meta-heuristic algorithms. |