RAJIB GHOSH (Listed in World's Top 2% Scientist List by Stanford University and Elsevier)
National Institute of Technology Patna, Heritage Institute of Technology Kolkata, West Bengal University of Technology, Sant Gadge Baba Amravati University, Dr B.C.Roy Engineering College Durgapur
0000-0002-8553-8656
About
Dr. Rajib Ghosh has been featured in "WORLD RANKING OF TOP 2% SCIENTISTS" by Stanford University and Elsevier in 2025 and 2024 in the area of “Artificial Intelligence & Image Processing". Dr. Rajib Ghosh is currently working as an Associate Professor in Computer Science and Engineering department at National Institute of Technology (NIT) Patna, Patna, India. He has more than 24 years of experiences of teaching in different engineering colleges. He completed his Ph.D. (Computer Science and Engineering) degree from NIT Patna, Patna, India. He also holds the M.Tech. degree in Information Technology and B.E. degree in Computer Science and Engineering. His broader research domains are Pattern Recognition, Machine Learning and Computer Vision. His research areas of interest are document analysis & recognition, object detection, object tracking, human movement tracking, video surveillance, etc. His Ph.D. work explored pattern recognition methods using machine learning techniques for recognizing online handwritten text of different Indic scripts such as Bengali, Devanagari, Telugu, Tamil, etc. He has over 45 research publications in various reputed SCI-indexed as well as SCOPUS-indexed international journals and conferences of repute. He also holds 4 patents on his research works. He is currently serving as the Associate Editors in two prestigious journals (1. IEEE Transactions on Circuits and Systems for Video Technology and 2. ACM Transactions On Asian And Low-Resource Language Information Processing). He is also the reviewer of several reputed journals indexed in SCI, SCIE and SCOPUS. He acted as one of the General Chairs in four different international conferences. He
has also chaired sessions at several international conferences. He is a member of IEEE, member of ACM, life member of IUPRAI, life member of ISTE, and nominee member of CSI. He has delivered expert talks and guest lectures at various prestigious institutes.
Employment
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National Institute of Technology Patna ASSISTANT PROFESSOR GRADE I2011 - Present
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Heritage Institute of Technology Kolkata Assistant Professor2006 - 2011
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Dr B.C.Roy Engineering College Durgapur Lecturer2004 - 2006
Education
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West Bengal University of Technology M.Tech.
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Sant Gadge Baba Amravati University B.E.
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National Institute of Technology Patna Ph.D.
Projects & Funding
Projects & funding information is unavailable.
Publications (52)
- A multi-modal Parkinson’s disease diagnosis methodology analyzing online handwriting and EEG signal utilizing multi-headed attention based deep learning model Save
- A Faster region convolutional neural network and recurrent neural network based approach of Parkinson’s disease diagnosis by analyzing gait Save
- Person verification and recognition by combining voice signal and online handwritten signature using hyperbolic function based transformer neural network Save
- A multi-modal Parkinson’s disease diagnosis system from EEG signals and online handwritten tasks using grey wolf optimization based deep learning model Save
- Bidirectional Legendre memory unit: bidirectional memory for person authentication combining voice and online signature Save
- Human emotion recognition by analyzing facial expressions, heart rate and blogs using deep learning method Save
- SYSTEM AND METHOD FOR DETECTION OF PARKINSON’S DISEASE Save
- A semi-self-supervised learning model to recognize handwritten characters in ancient documents in Indian scripts Save
- A hybrid deep learning model to recognize handwritten characters in ancient documents in Devanagari and Maithili scripts Save
- Parkinson’s disease diagnosis using recurrent neural network based deep learning model by analyzing online handwriting Save