AI Committee

Prof. Alper Erdoğan

Office: ENG 221
Phone: +90 212 338 1490

Adaptive Algorithm Design and Analysis, Blind Source Separation: Bounded Component Analysis, Independent Component Analysis, Robust Estimation, Physical Layer Communication System Algorithms: Channel Equalization/Shortening,
PAR Reduction, Clock Synchronization, Tx/Rx Filter Design, Echo Canceller, Convex Optimization and its Applications, Optical Fiber Communications: Polarization Mode Dispersion Compensation and Emulation, Single Molecule Tracking, Computational Electromagnetics

Prof. Attila Gürsoy

Dean of CE and Director of GSSE

Office: ENG 125
Phone: +90 212 338 1720

Bioinformatics, Systems Biology, Computational Structural Biology, Biological Networks, Computational Molecular Medicine, Systems Pharmacology, High Performance Computing, Parallel Computing

Assoc. Prof. Aykut Erdem

Office: ENG Z12

Phone: +90 312 297 7500

Image Editing, Visual Saliency Estimation, Multimodal Learning for Integrated Vision and Language

Asst. Prof. Barış Akgün

Office: MF 273
Phone: +90 212 338 0924

Robotics, Human-Robot Interaction, Machine Learning, Artificial Intelligence, Perception for Manipulation

Prof. Çağatay Başdoğan

Professor

Office: ENG 247
Phone: +90 212 338 1721

Man-machine Interfaces (in particular haptics), Control Systems, Mechatronics, Robotics, Biomechanics, Physics-based Modeling and Simulation, 3D Computer Graphics, Virtual Reality Technology

Prof. Çiğdem Gündüz Demir

Office: ENG 108A
Phone: +90 212 338 1853

Medical Image Analysis, Machine Learning, Deep Learning, Computer Vision

Prof. Deniz Yuret

Office: ENG 226
Phone: +90 212 338 1724

Artificial Intelligence, Machine Learning, Natural Language Processing

Assoc. Prof. Didem Unat

Office: ENG 129C
Phone: +90 212 338 1583

Parallel and Multicore Computing, Exascale Computing, Parallel Language, Library and Tool Design, Compiler Optimization and Code Generation, Performance Modeling and Prediction, Parallel Application and Software Development.

Prof. Engin Erzin

Assoc. Dean of CE for Academic Affairs & Prof.

Office: ENG 145
Phone: +90 212 338 1533

Speech Signal Processing, Multimedia Signal Processing, Pattern Recognition, Machine Learning, Human-Computer Interaction, Affective Computing

Asst. Prof. Fatma Güney

Office: ENG 203A
Phone: +90 212 338 0812

Computer Vision and Machine Learning; Representation Learning for Video Sequences Modeling Object-Object Relations, Object Detection, Motion Estimation, Action Recognition, Depth Estimation, and Multi-View 3D Reconstruction

Asst. Prof. Gözde Gül Şahin

Office: SNA Z31
Phone: +90 212 338 18 26

Natural Language Processing, Machine Learning, Computational Linguistics, Semantics, Morphology, Low Resource/Multilingual NLP, Interpretability and Robustness of NLP Systems

Prof. Mehmet Gönen

Office: ENG 118
Phone: +90 212 338 1813

Machine Learning, Computational Biology

Prof. Metin Sezgin

Office: MF 274
Phone: +90 212 338 1540

Deep Learning & Explainable AI, Machine Learning, Computer vision, Multimodal Human-Computer Interfaces, Affective Computing and Affective Interfaces, Autonomous Driver Assistance Systems, Medicine and Health Systems

Prof. Metin Sitti

Office: ADM 228
Phone: +90 212 338 12 13

Machine Learning for Robotics and Control
Soft Robotics
Medical Imaging
Physical Intelligence
Medical Robotics
Microrobotics

Prof. Murat Tekalp

Office: ENG 104
Phone: +90 212 338 1593

Multimedia, Vision and Graphics, Signal Processing and Telecommunications

Prof. Öznur Özkasap

Office: ENG 144
Phone: +90 212 338 1584

Distributed Computing Systems, Peer-to-Peer Systems and Algorithms, Scalable Reliable Network Protocols, Energy Efficiency, Cloud Computing Systems, Computer Networks, Mobile Ad hoc Networks, Security in Distributed Dystems, Parallel Computing.

Prof. Yücel Yemez

Office: ENG 139
Phone: +90 212 338 1585

Deep Learning for Computer Vision, 3D Vision and Graphics, Human-Robot Interaction, Affective Computing

Asst. Prof. Zafer Doğan

Office: ENG 116
Phone: +90 212 338 0870

Interpretability and Explainability of Artificial Learning Models. Theoretical Understanding of Well-Behaved Non-Convex Optimization, Machine Learning, Deep Learning Frameworks. Developing Innovative Large-Scale Data Processing Tools for Signal, Image and Video Processing Developing Algorithms for Sparse Signal Representations and for Convex and Non-Convex Optimization Problems