Research, Students, and Collaborations


Research support


Doctoral students

Akanksha Mishra (2019 - )
in-collaboration with: Wei Xia (Amazon, Seattle, USA)
topic: Feature selection via deep latent variable models and applications in cancer genomics
Ramnath Prabhu Bam (2020 - )
co-advised by: Rajesh Prabhu Gaonkar (SMS)
topic: Machine learning-based algorithms for predictive maintenance of HVAC systems

Masters (M. Tech.) projects

Raushan Kumar (2022-)
co-advised by: Satyanath Bhat (CSE)
topic: Machine learning-based trigger algorithm for the detection of bioaerosols
Diptiman Nayak (2022-)
co-advised by: Sharad Sinha (CSE)
topic: Predictive Maintenance of Pneumatic Systems; Anomaly detection
Saswot Nayak (2021-2022)
co-advised by: Thaseem Thajudeen (SMS)
thesis title: Predictive Air Quality Analysis via Statistical and Deep Learning Methods
Anusha Devulapally (2020-2021)
co-advised by: Sreenath Balakrishnan (SMS)
thesis title: Cell Segmentation from 3D Confocal Images using UNet Variants
after graduation: Ph.D. student at Pennsylvania State University, USA.
Varun Darshana Parekh (2020-2021)
co-advised by: Sreenath Balakrishnan (SMS)
thesis title: 3D Segmentation from confocal images using watershed-active snakes algorithm
after graduation: Ph.D. student at Pennsylvania State University, USA.
Gaurav Kumar (2020-2021)
in-collaboration with: Wei Xia (Amazon, Seattle, USA)
thesis title: Bayesian Model for Decision Making in Multi-Objective Optimization
Richa Bandlas (2020-2021)
co-advised by: Sunil Paul (HSS).
thesis title: Predicting Recession in Indian Economy by Constructing Leading Index.
Rajat Kumar Singh (2020-2021)
after graduation: Employment at American Express

Senior (B. Tech.) projects

2021-2022
Nidhish Sawant, Siddarth Shah, Ankit Jaiswal
project title: Machine Learning and Deep Learning Models for NIR-spectroscopy data
after graduation: Nidhish joins as a graduate student at the University of Southern California, USA; Siddharth is a graduate student in NYU Courant, USA
2020-2021
Raj Jagtap, Abhinav Kumar
in-collaboration with: Rajesh Sharma, University of Tartu, Estonia
project title: Youtube Hate Speech and Misinformation Detection arXiv
after graduation: Raj is a graduate student at Purdue University
Ujjwal Tiwari, Abhay Sharma
in-collaboration with: Rajesh Sharma, University of Tartu, Estonia
project title: Finding differences of speeches and opinions from tweets
Naresh Koushal, Pulaksh Garg
project title: Feature selection using deep neural networks in bioinformatics
2019-2020
Gaurav Aidasani
project topic: Real-time cloth detection
after graduation: Employment at Eagleview
Neha Shah
project topic: Clothing Style Detection & Recommendation System
after graduation: Employment at Microsoft, Graduate student at Carnegie Mellon University, USA
Piyush Doke
in-collaboration with: Rajesh Sharma, University of Tartu, Estonia
project title: Ranking Stack Exchange Answers
after graduation: Graduate student in NY, USA
Nitish Shah
project title: Clustering Gene-Expression Data of Cancer cells
Apurv Varshney
project title: Cancer subtype detection using Human Gene Expression data
after graduation: Graduate student

Open Source Softwares

Latent Dirichlet Allocation: Markov chain Monte Carlo methods R package
Collapsed Gibbs sampler, grouped Gibbs sampler, serial tempering, hyperparameter selection, etc. (Blei et al. 2003; Griffiths and Steyvers 2004; P. George and Doss 2017)
Latent Dirichlet Allocation: Variational methods R package
Variational expectation maximization (EM) algorithm implementation for the fully Bayesian Latent Dirichlet Allocation (LDA, Blei et al. 2003) model

Other software are available on GitHub @iitgoa-ml , @clintpgeorge