Research Projects - BITS Pilani

Jagat Sesh Challa

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

Big Data, Computer Vision, Materials Informatics, Human Computer Interaction, Federated Learning

Research

Research Areas

Big Data Analytics, High Performance Computing, Stream Analytics, Parallel Data Structures and Algorithms for ML/DM, Federated Learning, Computer Vision, Materials Informatics, Human-Computer Interaction

Specific Research Projects currently working upon

Anytime Mining of Data Streams (Sequential and Parallel)
Facial Emotion Recognition in the Indian Context
Chemical Properties Prediction in Additive Manufacturing
Federated Learning for Computational Photography
Federated Learning based Data Mining Algorithms
Parallelization of Clustering Algorithms
Human Computer Interaction Studies for LLMs

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 pre-requisites has been mentioned below (next subsection).

Students will be chosen on the following criteria:

Sound knowledge of concepts related to the project (as per in the pre-requisites given below for each Project).
Excellent programming skills in C/C++/ Python (Pandas, TensorFlow, Keras, and PyTorch).
Strong paper writing skills and willing 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 2nd Sem 2023-24

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.

Facial Emotion Recognition for the Indian Context

This Project aims at developing a Facial Emotion Recognition System for the Indian context considering our indegenious ethnic diversity. Age and Gender detection is also a part of this project.
We would be developing Deep Learning models for the same.
Pre-requisites: Very strong hands on experience on Deep Learning related technologies, especially CNN, RNNs, Trasnformers, etc.

Computational Photography using Federated Learning

This Project aims at developing federated learning models for tasks related to computational photography such as Bokeh rendering, Image Restoration and Image Signal Processing.
Pre-requisites:Very strong hands on experience on Deep Learning related technologies, especially CNN, RNNs, Trasnformers, etc. Students have hands-on experience in using Pysyft and other FL related libraries would be preferred.

Human Computer Interaction Studies for LLMs

This Project aims at conduct Human Computer Interaction Studies for various LLM technologies such as ChatGPT and other tools that are openly available or built in-house. The work involves understanding the use cases of LLM technologies, conduct surveys & interviews, perform thematic analysis to extract insights of the study conducted, and present them as a research article.
Pre-requisites: Basic understanding of LLMs and their use cases, programming in python to build rapid prototypes, good technical writing and communication skills.

To Apply

Please send your application via email along with the details of your CGPA, grades in all the courses done so far, projects done so far, knowledge on the relevant topics related to the project you are applying for and preference order of the projects wish to apply for.

Integrated first degree

Higher Degree

Doctoral Programmes

WILP

Student Activities

Student Services

Integrated First Degree