Soumyabrata Dey has been appointed assistant professor of computer science at Clarkson University.
He received his Ph.D. in computer vision and master of science degree in computer science from the University of Central Florida, and his bachelor of technology degree in computer science and engineering from West Bengal University of Technology.
Dey’s research interests are in computer vision(machine learning applications for image and video data analysis such as 3D vision-based moving object detection, object classification, action detection, biomedical image analysis, semantic image segmentation, and multi-object tracking); sensor data analysis (3D scene understanding in a multimodal sensor environment consisting of multiple instances of color, thermal, and depth cameras); and healthcare data analysis (data-driven healthcare recommendation engine, clustering and outlier detection).
Dey is the co-inventor of two patents: “Method and mobile device for determining Ultraviolet (UV) dose using non-UV sensor” and “Method and system for modeling and processing fMRI image data using a bag-of-words approach.”
He has co-published in Frontiers in Neural Circuit and Frontiers in Systems Neuroscience, as well as a number of conference proceedings.
He previously served as a postdoctoral researcher associate and lecturer at Clarkson, research lead at Carl Zeiss, IMT R&D, and chief engineer at Samsung Research Institute, Bangalore.
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