Dr. Ghosh's basic research interest is different practical applications of computer vision and machine learning techniques. His post-graduate research was on intelligent sensor fusion for online tool-condition monitoring in a metal-cutting process. In his doctoral research Dr. Ghosh applied video processing and Bayesian learning framework for 3D model building and video activity recognition in uncontrolled and unpredictable video sequences. During his post-doctoral research, he has been involved in developing computational techniques for medical imaging data analysis, multi-modality fusion and informatics. Dr. Ghosh developed a hierarchical region splitting (HRS; patented) method that could detect and quantify ischemic stroke and traumatic brain injury (TBI) in animal and clinical multi-modality magnetic resonance imaging and spectroscopy (MRI, MRS) data. These tools could also delineate injury topology – specifically ischemic core and penumbra in MRI that was further correlated with brain inflammation related cytokine-chemokine and tissue immunohistochemical information. Core-penumbra proportions were studied successfully for applicability in therapeutic monitoring for post-ischemic stem-cell implantation and hypothermia – individually and in combination. Dr. Ghosh has worked with automated anatomical brain parsing for region-specific medical information that leads to multi-modality fusion for on-going research on predictive models for clinical outcomes in stroke and TBI. One of his current research interest is to extend this injury topology concept to other pathologies and bringing in Bayesian and other machine learning techniques for intelligent and robust medical decision support systems. Dr. Ghosh is also contuning his research on video understanding and exploratory pattern recognition for human activity classification, 3D model building and robotic navogation.
Principal Investigator
- Cardiac Modeling Using Non-Invasive Physiological Sensing for Cardiac Condition Screening
Co-Principal Investigator
- Virtual Labs (Phase III) Ministry of Human Resource Development
- VIRTUAL LABS PROJECT(PHASE-III EXTENDED) MHRD, Department of Higher Education, NMEICT, New Delhi
Ph. D. Students
Abhra Majumder
Area of Research: Computer Vision for Advanced Driver Assist Systems
Abir Chowdhury
Area of Research: Medical imaging, Deep learning, Neuroimaging, Neuro information science
Ashutosh Dash
Area of Research: Cardiovascular System Modeling and Diagnostics
Dhaladhuli Jahnavi
Area of Research: Neurocardiac Signal Analysis and Diagnostics
G Satya Prasad
Area of Research: Signal Processing
Ishita Maiti
Area of Research: Medical Image Analysis
Rajeshwari B S
Area of Research: Biomedical Signal Analysis
Sawon Pratiher
Area of Research: Signal Processing
Souvik Datta
Area of Research: Biomedical Signal Analysis
