Research Projects - BITS Pilani

Jagat Sesh Challa

Assistant Professor, Department of Computer Science & Information Systems, BITS Pilani, Pilani Campus

AI for Education, Big Data, Computer Vision, Federated Learning

Research

Research Areas

Big Data Analytics, AI for Education, Federated Learning, Computer Vision, Materials Informatics, Meta Data Analytics

Specific Research Projects currently working upon

Anytime Mining of Data Streams (Sequential and Parallel)
GenAI Applications for Tutoring and Evaluation
GenAI Applications for Vision/NLP Tasks
Human-Computer Interaction Studies to understand the Impact of AI in Higher Education

For Students

For Students at BITS Pilani who wish to apply for a project-type course (SOP, RP, SAT, thesis, dissertation, etc.) with me, the list of projects along with the prerequisites has been mentioned below (following subsection).

Students will be chosen based on the following criteria:

Sound knowledge of concepts related to the project (as per the pre-requisites given below for each Project).
Excellent programming skills in C/C++/ Python (Pandas, TensorFlow, Keras, PyTorch, Django)/ JavaScript (React, NodeJS)
Strong paper writing skills and willingness to write a research paper with me (and not just code!).
Available to work for a year (or more).

I do not offer projects to students outside BITS Pilani.

List of Projects offered for 1st Sem 2025-26

Anytime Mining of Data Streams and Large Static Data

This Project aims at design and development of data structures and algorithms for anytime mining (classification, clustering, frequent pattern mining, anomaly detection) of data streams and large static datasets.
The above designs shall be parallelized for shared memory and distributed memory architectures.
Pre-requisites: Very strong coding fundamentals in C/C++. Students who are active in Competitive Coding are strongly encouraged to apply in this. Having fundamentals related to Parallel Programming such as MPI would also be benefecial (although not compulsory). Students having background of Data Mining Algorithms shall also be preferred.

GenAI Tools for Tutoring and Evaluation

This Project aims to build tools for tutoring and evaluation in higher education and K-12 education using Generative AI. The work involves building custom GenAI-based tools using prompt engineering, RAG & fine-tuning; conducting an HCI Study over those tools to understand their adaptability, and presenting them as a research article.
Pre-requisites: Basic understanding of LLMs and their usage, programming in Python / JavaScript to build rapid prototypes, good technical writing and communication skills.

GenAI Tools for Vision/NLP tasks

This Project aims to build Deep Learning and GenAI-based tools for various Vision and NLP tasks related to document archives.
Pre-requisites: Good Hands-on experience in writing code in python using Deep Learning frameworks such as tensorflow, pytorch, and good hands-on experience on using APIs of LLMs. Programming in Python / JavaScipt to build rapid prototypes is also essential.

Demographic Fair Federated Learning

This project focuses on developing a demographic fair federated learning framework that addresses fairness issues while preserving data privacy. Federated learning is a distributed machine learning approach that allows multiple parties to collaborate on model training without sharing their data, thus maintaining privacy.
Pre-requisites: Good hands-on experience writing code in Python with Deep Learning Libraries. Familiarity with machine learning algorithms.

To Apply

Please send your application via email along with:

Your performance sheet
A brief description of projects done so far
Your knowledge (theoretical and hands-on) of the relevant topics/technologies related to the project(s) you are applying for
Preference order of the projects you wish to apply for

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