Dr. Siladittya Manna

Dr. Siladittya Manna

Senior Research Assistant, HKBU

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.

Latest Announcements

Recent publications and project updates

New Publication - 2025
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning• IEEE Transactions on Artificial Intelligence, June 2025
New Publication - 2024
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images• ICPR 2024

Academic Profiles

Connect with me across various platforms

Institutional Affiliations

Academic institutions I have been associated with

HKBU

Hong Kong Baptist University, Hong Kong

Senior Research Assistant

ISICal

Indian Statistical Institute, Kolkata

Doctor of Philosophy

IIESTS

Indian Institute of Engineering Science and Technology, Shibpur

Graduation

Professional Background

Career journey and academic achievements

💼 Work Experience

Senior Research Assistant

Hong Kong Baptist University, Hong Kong

Oct, 2024 - Present

Conducting research in federated learning with primary applications in medical image segmentation.

🎓 Educational Qualifications

Ph.D. in Computer Science

Indian Statistical Institute, Kolkata, India

2019 - 2025

Research Areas: Self-Supervised Learning, Medical Image Analysis, Computer Vision

Master of Technology (M.Tech)

Indian Institute of Engineering Science and Technology, Shibpur

2018 - 2019

VLSI and Microelectronics

Bachelor of Technology (B.Tech)

Indian Institute of Engineering Science and Technology, Shibpur

2014 - 2018

Electronics and Telecommunication Engineering

Publications

Peer-reviewed research contributions to the scientific community

📖 Journal Publications

Dynamically Scaled Temperature in Self-Supervised Contrastive Learning

S Manna, S Chattopadhyay, R Dey, U Pal, S Bhattacharya

IEEE Transactions on Artificial Intelligence, 2025

📝 5 citations

DOI: 10.1109/TAI.2024.3456789

Self-Supervised Visual Representation Learning for Medical Image Analysis: A Comprehensive Survey

S Manna, S Bhattacharya, U Pal

Transactions on Machine Learning Research, 2025

📝 1 citation

https://openreview.net/forum?id=3Wg1oErMcJ

Self-supervised representation learning for knee injury diagnosis from magnetic resonance data

S Manna, S Bhattacharya, U Pal

IEEE Transactions on Artificial Intelligence, 2023

📝 13 citations

DOI: 10.1109/TAI.2023.3247891

Self-supervised representation learning for detection of ACL tear injury in knee MR videos

S Manna, S Bhattacharya, U Pal

Pattern Recognition Letters, 2022

📝 19 citations

DOI: 10.1016/j.patrec.2022.07.043

PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection

S Manna, D Das, S Bhattacharya, U Pal, S Chanda

IEEE Transactions on Emerging Topics in Computing, 2022

📝 9 citations

DOI: 10.1109/TETC.2022.3165847

MIO: Mutual Information Optimization using Self-Supervised Binary Contrastive Learning

S Manna, U Pal, S Bhattacharya

arXiv preprint arXiv:2111.12664v2, 2023

📝 2 citations

DOI: 10.48550/arXiv.2111.12664

👥 Conference Publications

Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images

S Manna, S Bhattacharya, U Pal

27th International Conference on Pattern Recognition 2024

📝 1 citations

DOI: 10.1109/ICPR60209.2024.10815234

Selfdocseg: A self-supervised vision-based approach towards document segmentation

S Maity, S Biswas, S Manna, A Banerjee, J Llados, S Bhattacharya, U Pal

International Conference on Document Analysis and Recognition, 2023

📝 7 citations

DOI: 10.1007/978-3-031-41682-8_22

Surds: Self-supervised attention-guided reconstruction and dual triplet loss for writer independent offline signature verification

S Chattopadhyay, S Manna, S Bhattacharya, U Pal

2022 26th International Conference on Pattern Recognition (ICPR), 2022

📝 40 citations

DOI: 10.1109/ICPR56804.2022.9956285

SWIS: Self-Supervised Representation Learning for Writer Independent Offline Signature Verification

S Manna, S Chattopadhyay, S Bhattacharya, U Pal

2022 IEEE International Conference on Image Processing (ICIP), 2022

📝 21 citations

DOI: 10.1109/ICIP46576.2022.9897842

Interpretive self-supervised pre-training: boosting performance on visual medical data

S Manna, S Bhattacharya, U Pal

Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing • 2021

📝 6 citations

DOI: 10.1145/3490035.3490276

Professional Activities

Contributing to the scientific community through various roles and initiatives

👥 Tutorial Sessions

Hands-On Tutorial Session, MIDA 2023

Jointly Organized by Dept. of IT & CFSD, SMIT, Sikkim and IDEAS-TIH, ISI, Kolkata

📖 Editorial & Review Activities

Reviewer for:

SNCS (Springer Nature Computer Science)
KBS (Knowledge-Based Systems)
PRL (Pattern Recognition Letters)
IEEE TMM (Transactions on Multimedia)
TMLR (Transactions on Machine Learning Research)
IEEE Access
IEEE IoT (Internet of Things Journal)
Multimedia Systems

Blog: The Owl

Learn, Share, Grow - Technical insights and tutorials

Comprehensive Guide to Overlaying Segmentation Masks in Python

📅 5/29/20244 min read

Segmentation masks are fundamental in computer vision applications, from medical imaging to autonomous vehicles. Visualising these masks...

Read on Medium →

Understanding and Calculating MACs and FLOPs in PyTorch Models

📅 5/20/20244 min read

with calflops and torchprofile - Learn how to measure computational complexity and efficiency of your PyTorch models...

Read on Medium →

Compressing .nii Files to .nii.gz: A Guide to Efficient Data Storage

📅 5/12/20243 min read

In medical imaging, handling large datasets efficiently is crucial for storage and processing purposes. Neuroimaging Informatics...

Read on Medium →

Advanced Techniques in Medical Image Processing

📅 4/28/20246 min read

Exploring cutting-edge methods for processing and analyzing medical images using modern deep learning approaches...

Read on Medium →

Other Activities

Exploring creativity beyond academic research

📷 Photography
View Profile →
🏔️

Mountain Sunrise

LandscapeHong Kong
2023
🏢

Urban Architecture

UrbanKolkata
2022
👤

Portrait Study

PortraitStudio
2023
🚶

Street Life

StreetHong Kong
2024
🌿

Nature Close-up

MacroBotanical Garden
2023

"Photography is the art of capturing moments that would otherwise be lost to time."