Dr. Siladittya Manna

Senior Research Assistant

Research Focus

I am a passionate researcher specializing in federated learning, self-supervised learning, computer vision, and medical image analysis. I focus on developing innovative federated learning framework for computer vision applications in medical image analysis. My current interest lies in developing self-supervised federated learning frameworks for domain heterogeneous data. I am also interested in developing solutions for bridging the gap between generalization and personalization in federated learning.

Current Experience

I am currently working as a Senior Research Assistant at Hong Kong Baptist University under the supervision of Prof. Yiu-M Cheung. My research primarily focuses on developing federated learning frameworks for domain heterogeneous data and generalization in federated learning.

Past Experience

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.

Current Research Topics

Domain Heterogeneity in FL

Adaptive Client Aggregation in FL

Knowledge Distillation based Aggregation in FL

Personalized Federated Learning

Bridging the Gap between generalization and personaliztion in FL

Self-Supervised Learning

Self-Supervised Few-Shot Segmentation

Contrastive Representation Learning

Medical Image Segmentation

Latest Announcements

Recent publications and project updates

New Publication - 2025

Decorrelation-based Self-Supervised Visual Representation Learning for Writer Identification• ACM Transactions on Asian and Low-Resource Language Information processing, June 2025

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

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

Decorrelation-Based Self-Supervised Visual Representation Learning for Writer Identification

A Maitra, S Mitra, S Manna, S Bhattacharya, U Pal
ACM Transactions on Asian and Low-Resource Language Information Processing • 2025

0 citations

DOI: 10.1145/3746062

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

S Manna, S Bhattacharya, U Pal
Transactions on Machine Learning Research • 2024

2 citations

DOI:

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

S Manna, S Bhattacharya, U Pal
IEEE Transactions on Artificial Intelligence • 2023

16 citations

DOI: 10.1109/TAI.2023.3247891

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

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

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 • 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

11 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

42 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

22 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

Ph.D. Thesis

Self-Supervised Learning and Its Applications in Medical Image Analysis

Siladittya Manna
Indian Statistical Institute, Kolkata • 2025

0 citations

Academic Profiles & Affiliations

Connect with me across various academic and professional platforms

Academic Profiles

Academic Affiliations

Current Affiliation

Hong Kong Baptist University

Previous Affiliations

Indian Statistical Institute

Indian Institute of Engineering Science and Technology

Research Collaborations

Building partnerships and advancing research together

IIT Kharagpur

Collaboration with Dr. Saumik Bhattacharya

Active

NIT Durgapur

Collaboration with Dr. Sayantari Ghosh

Active

ISI Kolkata

Active member and contributor

Member

Future Collaborations

More research partnerships coming soon

Planning

Professional Background

Academic journey and professional experience

Work Experience

Senior Research Assistant

Hong Kong Baptist University • Hong Kong

October 2024 - Present

Conducting research in Federated learning with applications in medical image segmentation.

Educational Qualifications

Ph.D. in Computer Science

Indian Statistical Institute • Kolkata, India

2019 - 2025

Thesis: Self-Supervised Learning and its Applications in Medical Image Analysis

Supervisor: Prof. Umapada Pal

M.Tech (Under Dual Degree)

Indian Institute of Engineering Science and Technology • Shibpur, Howrah, India

2018 - 2019

VLSI and Microelectronics

Supervisor: Dr. Ankita Pramanik

B.Tech (Under Dual Degree)

Indian Institute of Engineering Science and Technology • Shibpur, Howrah, India

2014 - 2018

Electronics and Telecommincation Engineering

Professional Activities

Contributing to the scientific community through various roles and initiatives

Teaching Experience

Teaching Assistant

Artifical Intelligence and Machine Learning (M.Tech (CS))

Indian Statistical Institute, Kolkata • 2018-19

Assisted in teaching advanced machine learning concepts like object detection, tracking and segmentation, and evaluated student projects on deep learning and computer vision.

Introduction to Machine Learning (M.Tech (ETCE))

Indian Institute of Engineering Science and Technology, Shibpur • 2018-19

Conducted tutorial sessions on machine learning algorithms for the first semester students of M.Tech (ETCE).

Mentorship

Internship Projects

2021-Present

• 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

Undergraduate Projects

2023-Present

• Mentored several under-graduate students on computer vision and machine learning for their final year projects.

• IIT Kharagpur: 4

Postgraduate Projects

2023-Present

• 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

Tutorial and Talks

Workshop Tutorials

Hands-On Tutorial Session, MIDA 2023

SMIT, Sikkim & IDEAS-TIH, ISI Kolkata

Focused on self-supervised learning applications in medical imaging with practical implementations and case studies.

Editorial & Review Activities

Journal Reviewer

IEEE Transactions on Artificial Intelligence (TAI)

IEEE Transactions on Multimedia (TMM)

IEEE Access

IEEE Internet of Things Journal (IoT)

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Elsevier Knowledge-Based Systems (KBS)

Elsevier Pattern Recognition Letters (PRL)

Elsevier Computer Vision and Image Understanding (CVIU)

Springer Scientific Reports

Springer Pattern Analysis and Applications

Springer Multimedia Systems

Springer International Journal of Machine Learning and Cybernetics

Springer Neural Processing Letters

Springer Nature Computer Science (SNCS)

Transactions on Machine Learning Research (TMLR)

Conference Reviewer

International Conference on Pattern Recognition (ICPR)

ACM Knowledge Discovery and Data Mining (KDD)

ACM Multimedia

International Conference on Document Analysis and Recognition (ICDAR)

LLM Based Applications in Progress

Exploring and building innovative AI-powered solutions

In Progress

LLMMedical AIComputer Vision

Smart Medical Assistant

AI-powered diagnostic support system

Developing an LLM-based application for medical document analysis and diagnostic assistance using computer vision and natural language processing.

View Project

In Progress

NLPAcademicResearch

Scholarly Articles Discovery Interface

Automated academic paper analysis and summarization

Building an intelligent system that searches for research papers and summarizes them. Creates a new github repository containing the papers in the user's profile.

View Project

In Progress

Medical ImageAIDevelopment

Medical Image Viewer

AI-powered medical image viewer

Creating an LLM-based tool that helps developers with medical image analysis.

View Project