About

I recently completed my M.Sc. by Research in Electronics and Communication Engineering at IIIT Hyderabad, where I conducted research on Graph Neural Networks (GNNs), particularly in the areas of dynamic graphs, uncertainty quantification, and high-stakes decision-making, under the guidance of Prof. Charu Sharma and Prof. Naresh Manwani at the Machine Learning Lab.

I recently completed a Google Summer of Code project with INCF, developing dynamic graph neural networks for modeling C. elegans development.

I completed my Bachelor of Technology in Electrical Engineering from Indian Institute of Engineering Science and Technology, Shibpur. Following my graduation, I briefly worked as an Engineer at Vikram Solar Limited, contributing to production optimization projects.

Research Interests

Graph representation learning Graph neural networks Geometric deep learning Temporal graph networks Explainable AI Uncertainty optimization Knowledge graphs Molecular property prediction Molecular generation Large language models

Recent News

Sept 2025 🎆 Successfully completed Google Summer of Code project on DevoTG: Developmental Temporal Graph Networks! 🧬
July 2025 🎓 Graduated with an MS by Research from IIIT Hyderabad! 🌟
June 2025 Paper "Reducing Misclassification Risk in Dynamic Graph Neural Networks through Abstention" accepted at ASONAM 2025
June 2025 Paper "Confidence First: Reliability-Driven Temporal Graph Neural Networks" accepted at TGL Workshop, KDD 2025
May 2025 Started Google Summer of Code project on DevoTG: Dynamic Graph Neural Networks for Modeling C. elegans Development
April 2025 Paper "Node Classification With Reject Option" accepted at TMLR 2025

Publications

2025

Dynamic Graph Neural Networks visualization

Reducing Misclassification Risk in Dynamic Graph Neural Networks through Abstention

Jayadratha Gayen, Himanshu Pal, Naresh Manwani, Charu Sharma

ASONAM 2025 Accepted

Temporal Graph Networks visualization

Confidence First: Reliability-Driven Temporal Graph Neural Networks

Jayadratha Gayen, Himanshu Pal, Naresh Manwani, Charu Sharma

KDD 2025 Temporal Graph Learning (TGL) Workshop Accepted

Node Classification with Reject Option

Node Classification With Reject Option

Uday Bhaskar, Jayadratha Gayen, Charu Sharma, Naresh Manwani

TMLR 2025 Accepted

2024

Legal Judgment Prediction visualization

Node Classification With Integrated Reject Option For Legal Judgment Prediction

Uday Bhaskar, Jayadratha Gayen, Charu Sharma, Naresh Manwani

AAAI 2025 Deployable AI (DAI) Workshop Accepted

Projects

DevoTG C. elegans development visualization
2025

DevoTG: Developmental Temporal Graph Networks

Google Summer of Code project developing a comprehensive framework for analyzing C. elegans cell division patterns and connectome development using temporal graph neural networks. Combines advanced visualization techniques with state-of-the-art graph neural networks for developmental biology insights.

Temporal Graph Networks Interactive Visualization Developmental Biology C. elegans
Nyay Saheli conversational AI
2025

Nyay Saheli: Conversational RAG for Indian Women

A conversational AI assistant designed to provide empathetic responses and legal guidance to Indian women in multiple Indian languages. Built using Retrieval-Augmented Generation (RAG) techniques to deliver culturally sensitive and legally accurate information for women's rights and safety.

RAG Multilingual NLP Legal AI Women Empowerment
Node Classification with Reject Option
2024

Node Classification With Integrated Reject Option

Introduced NodeCwR framework incorporating cost-based and coverage-based rejection strategies. Achieved 6-19% improvement in prediction accuracy on ILDC dataset for Legal Judgment Prediction.

Graph Neural Networks Reject Option Legal AI
Dynamic Graph Learning with Abstention
2024

Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning

Developed novel reject option strategy for CTDGs, allowing model abstention from uncertain predictions. Achieved 10-15% improvement in AUC/AP scores across six dynamic graph datasets.

Dynamic Graphs Uncertainty Quantification Deep Learning
3D Motion Transfer
2023

3D Motion Transfer Across Diverse Character Topologies

Developed method using Graph Convolution Networks for realistic 3D motion transfer between diverse character topologies. Incorporated prior frame encodings to reduce jitter.

3D Computer Vision Graph Convolution Motion Transfer
Multilingual News Similarity
2022

Multilingual News Article Similarity Detection Using Siamese Networks

Developed multilingual news similarity detection system. Achieved best result with multilingual DistilBERT (PCC: 0.5683) in SemEval 2022 Task 8.

Multilingual NLP Siamese Networks Text Similarity

Experience

May 2025 - Sept 2025

Software Developer

Google Summer of Code @ INCF, Remote

Project: DevoTG: Dynamic Graph Neural Networks for Modeling C. elegans Development. Modeled C. elegans embryogenesis and connectome formation using advanced temporal graph methods. Successfully completed all project deliverables including comprehensive framework for developmental biology analysis.

Nov 2022 - July 2025

MS Research Fellow

Machine Learning Lab - MLL (IIITH), Hyderabad, India

Conducted research on GNNs, high-stakes applications like legal judgment prediction, disease prediction. Explored continuous time dynamic graphs (CTDGs), reject option classification. Worked on 3D computer vision applications.

July 2018 - Dec 2019

Engineer

Vikram Solar Limited, Falta, West Bengal, India

Contributed to Six Sigma project, increasing production by 10%. Involved in bottleneck analysis, DOE in Minitab, and optimization analyses. Led KAIZEN projects, achieving 2% reduction in power consumption.

Teaching

October 2023

Instructor - Executive Training Program on AIML

ihub-data, IIIT Hyderabad

Coordinated a two-week executive training program. Conducted tutorials on PCA and end-to-end ML model building.

May 2023

Teaching Assistant - 3D Vision Summer School

CVIT, IIIT Hyderabad

Conducted tutorial on graph neural networks and their applications in 3D vision, especially mesh-based systems.

Curriculum Vitae

Download my complete CV to learn more about my academic background, research experience, and technical skills.

Education

M.Sc in Electronics and Communication Engineering by Research

International Institute of Information Technology, Hyderabad

July 2022 - July 2025 | GPA: 8.29/10

Bachelor of Technology in Electrical Engineering

Indian Institute of Engineering Science and Technology, Shibpur

July 2014 - June 2018 | GPA: 8.02/10

Technical Skills

Programming Languages

Python, C, C++, SQL

ML/DL Libraries

PyTorch, PyG, TensorFlow, scikit-learn, Keras, Transformers

Tools & Software

GitHub, VS Code, Conda, Poetry, UV, Blender, MeshLab, Minitab, MATLAB Simulink