Ayan Sengupta

Ayan Sengupta, Ph.D. is an Assistant Professor in the Department of Health Physics and Diagnostic Sciences at the University of Nevada, Las Vegas, where he began in Fall 2024. He teaches Comprehensive Medical Imaging, MRI Physics, Radiation Science, and Dosimetry for both undergraduate and graduate programs.

Educational Background

• Bachelor’s degree in Engineering (India)
• Master’s degree in Computer Science, specializing in medical image processing, University of Nebraska
• Ph.D. in Neuroimaging, Otto-von-Guericke University, Germany (supported by DFG Research Scholarship)
• Postdoctoral research, University of Cambridge & Sir Peter Mansfield Imaging Centre, United Kingdom
• Lifetime Honorary Affiliate, Hughes Hall, University of Cambridge
• Research Fellow, Royal Holloway, University of London

Research Focus

Dr. Sengupta’s work centers on cutting-edge neuroimaging, particularly ultra-high-field 7 T human fMRI. He leverages machine learning and artificial intelligence to decode how the brain represents visual and tactile information. At UNLV he is establishing a program on accessible low-field MRI systems for primary care and is pioneering novel imaging and AI techniques for dementia biomarkers.

Publication Landscape

Across 20 peer-reviewed works, a clear arc emerges: pioneering 7 T fMRI methodologies (motion correction, resolution optimization), constructing probabilistic atlases of somatosensory digit maps, and integrating computational approaches (decoding orientation, musical genres). Recent efforts extend to low-field MRI accessibility and AI-driven dementia biomarkers, reflecting a translational trajectory from high-field neuroscience to clinical impact.

Scientific Honors

• DFG (Deutsche Forschungsgemeinschaft) Research Scholarship
• Lifetime Honorary Affiliate, Hughes Hall, University of Cambridge

Current Activities & Future Directions

Dr. Sengupta is actively building his laboratory at UNLV, acquiring funding and collaborators to advance low-field MRI systems and AI-based dementia diagnostics. While no specific students are named in the provided text, his program is expected to recruit graduate researchers as infrastructure develops.