Research Projects - BITS Pilani

Jagat Sesh Challa

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

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

Research

Research Areas

Big Data Analytics, Federated Learning, Computer Vision, Materials Informatics, Human-Computer Interaction Studies for Education

Specific Research Projects currently working upon

Anytime Mining of Data Streams (Sequential and Parallel)
Federated Learning for Computational Photography
Federated Learning based Data Mining Algorithms
Human Computer Interaction Studies for LLMs in 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 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 2024-25

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.

Computational Photography using Federated Learning

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

Human-Computer Interaction Studies on LLMs for Education

This Project aims to conduct Human-Computer Interaction Studies over various LLM technologies, such as ChatGPT and other openly available tools, upon their applicability to the Education sector in India. 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. The work would also involve building Software products using OpenAI APIs, specifically for improving/assisting in primary and higher education in the Indian Context.
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.

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