معرفی
Müjdat Çetin is a Professor of Electrical and Computer Engineering and serves as the Robin and Tim Wentworth Director of the Goergen Institute for Data Science and Director of the New York State Center of Excellence in Data Science at the University of Rochester. He previously held faculty positions at Sabancı University and was a Research Scientist at MIT, with visiting roles at Boston University, Northeastern University, and MIT.
Education:
- PhD in Electrical Engineering, Boston University, 2001
- MS in Electrical Engineering, University of Salford, 1995
- BS in Electrical Engineering, Boğaziçi University, 1993
His research lies at the intersection of signal processing, machine learning, and data science, with applications in biomedical imaging, radar, and brain-computer interfaces. He develops probabilistic and deep learning models for robust information extraction from noisy and complex data. His work emphasizes computational imaging, sparse representations, and multimodal data fusion.
The recent publications reflect a strong trend toward integrating Bayesian methods and deep learning in imaging sciences, particularly in medical image reconstruction, neuroimaging analysis, and radar systems. His group actively explores transformer architectures, federated learning, and model-based deep learning for solving inverse problems in imaging.
Scientific Awards and Honors:
- IEEE Fellow
- IEEE Signal Processing Society Best Paper Award
- IET Radar, Sonar and Navigation Premium Award
- Elsevier Signal Processing Best Paper Award
- Turkish Academy of Sciences Distinguished Young Scientist Award (GEBİP)
- ODTÜ Mustafa Parlar Foundation Research Incentive Award
- TÜBİTAK Career Award
- Boston University Best Engineering Research Award
Professor Cetin has advised numerous PhD and Master’s students and led significant research grants in data science and imaging. He has served as a Senior Area Editor for IEEE Transactions on Image Processing and IEEE Transactions on Computational Imaging, and held editorial roles in several top journals. He has chaired major conferences including ICASSP, ICIP, and IVMSP workshops.
He leads a multidisciplinary research group focused on data science and imaging, collaborating with neuroscientists and medical researchers. The team develops novel algorithms for brain-computer interfaces, medical image analysis, and remote sensing systems, often integrating machine learning with physical models of data acquisition.
