Category: MS Research Scholar

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Dev Shinde

Dev Shinde is an M.S. Research Scholar at the Web Science Lab, IIIT-Bangalore, working under the guidance of Prof. Srinath Srinivasa.

At the Web Science Lab, he is currently working on developing a unified framework that addresses the challenges of cross-jurisdictional data sharing while ensuring compliance with various regulatory requirements. His work aims to bridge the gap between theoretical data protection principles and practical implementation methodologies in the context of global data flows.

His research interests include data governance, digital public infrastructure, privacy frameworks, and interoperable systems architecture.

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Rishita Patel

Rishita Patel is an M.S. Research Scholar at the Web Science Lab (WSL), IIIT-Bangalore, under the guidance of Prof. Sushree Behera and Prof. Srinath Srinivasa. Her current research, titled “Multi-modal Content Generation for Navigated Learning”, investigates the applicability of diffusion-based text-to-image generation models in the educational domain—an area where factual accuracy, pedagogical alignment, and contextual relevance are paramount. She is working on fine-tuning state-of-the-art diffusion models , aiming to bridge the gap between generative AI’s creative power and the stringent demands of educational content.

Her research interests lie at the intersection of multimodal AI, semantic reasoning, and responsible content generation. Her work explores how models trained for general-purpose creativity can be adapted to serve domain-specific, high-precision use cases like STEAM education.

📎LinkedIn Profile

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Ashashree Sarma

MS by Research Scholar
Web Science Lab (WSL), IIIT Bangalore

Ashashree Sarma is a researcher at the Web Science Lab (WSL), IIIT Bangalore, working at the intersection of Network Science, Learning Analytics, Graph-based AI, and Intelligent Information Systems. Her research focuses on understanding how interactions between entities—whether learners, knowledge resources, or mobility networks—shape collective outcomes and decision-making processes.

Her current interests include:

  • Network Science and Complex Systems
  • Graph Neural Networks (GNNs)
  • Graph Retrieval-Augmented Generation (Graph RAG)
  • Learning Analytics and Educational Data Mining
  • Multi-Agent and Social Learning Systems
  • Knowledge Graphs and Semantic Systems
  • Human-Centered AI and Personalized Learning

Under the guidance of Prof. Srinath Srinivasa and Prof. Sushree Sangeeta Behera, she contributes to interdisciplinary research that combines machine learning, network modeling, and data-driven decision support systems.

Current Projects :

Social Synchrony in Learning Networks

This project investigates how learner interactions influence collective learning outcomes. Drawing upon network science and learning analytics, the work models learning communities as evolving networks and studies how social synchrony emerges through learner-to-learner interactions.

Project Page:
https://wsl.iiitb.ac.in/social-synchrony-in-learning-networks/

Multi-Modal Mobility Solutions for Megaregions around Bengaluru

This project explores the use of AI, graph-based modeling, and mobility analytics to understand and improve transportation systems across rapidly growing urban megaregions. The work aims to support data-driven planning for sustainable and interconnected mobility infrastructures.

Project Page:
https://wsl.iiitb.ac.in/multi-modal-mobility-solutions-for-megaregions-around-bengaluru/

Publications

Modeling Outcomes-led Learner Behavior and Emergent Social Synchrony

Ashashree Sarma, Sushree Behera, Srinath Srinivasa, and Prasad Ram. Proceedings of the Twelfth ACM Conference on Learning @ Scale (L@S 2025), Palermo, Italy.

DOI: https://doi.org/10.1145/3698205.3733959

Research Presentations

  • Learning @ Scale (L@S) 2025, Palermo, Italy
  • Educational Data Mining (EDM) 2025
  • WebSciX 2025
  • RISE 2025

Media Coverage

Google Maps for Learning: IIIT-B Researchers Develop AI Navigator for Personalised STEM Learning

Featured in The Hindu as part of the broader Navigated Learning initiative.

Academic Background

Prior to joining IIIT Bangalore, Ashashree was a Research Intern at the Da’ Spatio Rhobotique Lab, IIT Guwahati, where she worked on research problems at the intersection of Artificial Intelligence and Data Science. She received her B.Tech in Computer Science and Engineering from Assam Engineering College in 2023. Her experience spans both academic research and industry projects involving Data Science, Machine Learning, and Artificial Intelligence.

Links

LinkedIn
https://www.linkedin.com/in/ashashree17321/

GitHub
https://github.com/ashashree2000

Google Scholar
https://shorturl.at/yKH1K

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Suhan Roy

I am currently pursuing Masters by Research in the Web Sciences Lab here at IIIT Bangalore. Prior to joining IIITB I have worked in Capgemini Engineering for three years as a Senior Associate and also worked as a Research Assistant in The Visual Conception Group Lab at IIIT Delhi. I am currently working on the Online Learning Navigator Project in partnership with Gooru Labs. My Research Interests are Optimizations in Machine Learning, Deep Learning and Vision Language Models.

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Anurag Mohanty

Anurag is a MS Research (Part-time) Student at Web Science Lab, IIT- Bangalore. His research interests are in Cognitive computing, Semantic analysis, NLP,  Knowledge Representation and Reasoning methods, Knowledge and Learning systems.

He has around 16 years of working Industry Experience in Software Development, Solution Architecture, Machine Learning and Data Science. He is currently working as a Data Scientist in IBM Pvt. Ltd. His prior formal education background includes B.E. in Computer Science and MBA (Finance).

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