Senior Research Assistant
I am a passionate researcher specializing in federated learning, self-supervised learning, computer vision, and medical image analysis. Currently working as a Senior Research Assistant at Hong Kong Baptist University under the supervision of Prof. Yiu-Ming Cheung. I focus on developing innovative federated learning framework for computer vision applications in medical image analysis.
My research interests span self-supervised learning, federated learning, deep learning, computer vision, and medical image analysis. I am particularly interested in developing robust and interpretable AI systems that can learn meaningful representations without extensive manual annotations.
I completed my PhD under the supervision of Prof. Umapada Pal from Indian Statistical Institute, Kolkata. My research primarily focused on self-supervised learning and its applications in medical image analysis. I have also worked on signature verification, writer identification, other document analysis tasks. During my Ph.D. I also worked closely with Dr. Saumik Bhattacharya from Indian Institute of Technology, Kharagpur.
Recent publications and project updates
Connect with me across various academic and professional platforms
Department of Computer Science
October 2024 - Present
Computer Vision and Pattern Recognition Unit
2019 - 2025
Electronics and Telecommunication Engineering
2014 - 2019
IIT Kharagpur
Collaboration with Dr. Saumik Bhattacharya
ISI Kolkata
Active member and contributor
Academic journey and professional experience
Hong Kong Baptist University • Hong Kong
Conducting research in Federated learning with applications in medical image segmentation.
Indian Statistical Institute • Kolkata, India
Thesis: Self-Supervised Learning and its Applications in Medical Image Analysis
Supervisor: Prof. Umapada Pal
Indian Institute of Engineering Science and Technology • Shibpur, Howrah, India
VLSI and Microelectronics
Supervisor: Dr. Ankita Pramanik
Indian Institute of Engineering Science and Technology • Shibpur, Howrah, India
Electronics and Telecommincation Engineering
Peer-reviewed research contributions to the scientific community
Contributing to the scientific community through various roles and initiatives
Assisted in teaching advanced machine learning concepts like object detection, tracking and segmentation, and evaluated student projects on deep learning and computer vision.
Conducted tutorial sessions on machine learning algorithms for the first semester students of M.Tech (ETCE).
• Mentored 1 intern student on projects related to self-supervised learning and signature verification with successful publications in ICPR, ICIP.
• JU, Kolkata: 1
• Currently, mentoring 4 intern students on projects related to self-supervised medical image analysis.
• IIT Delhi: 1 • IIT BHU: 1 • IIT Kharagpur: 1 • MU, Jaipur: 1
• Mentored several under-graduate students on computer vision and machine learning for their final year projects.
• IIT Kharagpur: 4
• Mentored several post-graduate students on computer vision and machine learning for their M.Tech. thesis.
• IIT Kharagpur: 3 • ISI Kolkata: 1 • RKM, Belur: 2
Focused on self-supervised learning applications in medical imaging with practical implementations and case studies.
Learn, Share, Grow - Technical insights and tutorials
Segmentation masks are fundamental in computer vision applications, from medical imaging to autonomous vehicles. Visualising these masks...
Read on Mediumwith calflops and torchprofile - Learn how to measure computational complexity and efficiency of your PyTorch models...
Read on MediumIn medical imaging, handling large datasets efficiently is crucial for storage and processing purposes. Neuroimaging Informatics...
Read on MediumOn Multiple Nodes using SLURM
Read on Medium4 articles available
Exploring creativity beyond academic research
Capturing moments through the lens
"Photography is the art of capturing moments that would otherwise be lost to time."