Current Staff/Postdocs

Staff Name Position Research topic Expected Graduation Date
Dr. Azhar Tantry Postdoctoral Fellow Level set estimation from noisy and compressive samples July 2024/2025

Current Students

Student Name Degree Thesis topic Expected Graduation Date
Shuvayan Banerjee Ph.D. (co-advised with Prof. Radhendushka Srivastava from Math/Stat, IITB and Prof. James Saunderson from Monash University) Robust Non-adaptive Pooled Testing 2025
Sabyasachi Ghosh Ph.D. (co-advised with Prof. Manoj Gopalkrishnan) Topics and Applications of Group Testing 2024
Ashutosh Vaish Ph.D. (at IIIT-Delhi, co-advised with Prof. Anubha Gupta from IIIT-Delhi) Topics in Diffusion MRI 2024
Bhumika Khetan (co-advised with Prof. Satish Mulleti) M. Tech. Video deblocking 2024
Jaimin Chauhan M. Tech. Compressive NMR reconstruction 2024
Piyush Sawarkar M. Tech. Subset testing for mass testing in a pandemic 2024
Garweet Sresth (co-advised with Prof. Satish Mulleti) IDDDP CMiNDS Unlabelled Sensing 2024
Kaishva Shah (co-advised with Prof. Satish Mulleti) IDDDP CMiNDS Cryo-electron microscopy 2025
Harsh Shah BTech High-D Nearest Neighbor Search using Group Testing 2024
Ojaswi Jain BTech Robust fitting of epidemiological models 2024
Dhananjay Kejriwal BTech Probability density estimation with noisy samples 2024

Past Students

Student Name Degree Thesis topic Graduation Date Occupation after Graduation
Amol Girish Shah (co-advised with Prof. Nikhil Karamchandani, EE) DDP Signal Compression using Machine Learning and Anomaly Detection 2023 Qualcomm
Anmol Namdev M. Tech. Radiation reduction algorithms in longitudinal CT 2023 Samsung Research
Kashish Mittal M. Tech. Compressed sensing: debiasing and retrieval applications 2023 Intel
Anuj Fulari (co-advised with Prof. Satish Mulleti) M. Tech. Excellence in Research Award Video deflickering and deblotching June 2023 Startup
Sumeet Kumar Mishra (co-advised with Prof. Nikhil Karamchandani, EE) B. Tech. Signal Compression using Machine Learning and Anomaly Detection 2023
Sheel Shah (co-advised with Prof. Rajbabu Velmurugan) B. Tech. Cryo-EM reconstruction from a sampling theory perpsective 2023 QuadEye
Sudhansh Peddabomma B. Tech. Group Testing and Unlabeled Sensing 2023 MS student at UCSD
Richeek Das RnD Project. Analyzing LASSO for the noise model in compressive RT-PCR 2023 PhD student at UPenn
Adit Akarsh RnD Project Sparsity Estimation from Compressive Samples 2023
Dr. Jerin Geo James Ph.D. Application Specific Visual Motion Estimation: Novel Computational Techniques Jan 2023 Senior Engineer (R&D), Qualcomm, Bangalore
Rajershi Gupta M. Tech Pooling Matrix Design and Prior-Based Sparse Reconstruction for Group Testing in COVID-19 2022 Software Engineer at Uber
Nitish Gangwar M. Tech Cryo-Electron Microscopy: Particle picking and Denoising 2022 Software Engineer at Taiwan Semiconductor Manufacturing Company
Sarvesh Pandey M. Tech Restoration of Document Images 2022 Software engineer at Texas Instruments
Nimay Gupta (co-advised with Prof. Nikhil Karamchandani, EE) B. Tech Signal Compression Using Deep Learning 2022 Quantitative Strategist at Quadeye
Shaan ul Haque B. Tech. RnD Project High dimensional probability density estimation using tensors factorization and dictionary learning 2022 PhD student at Georgia Tech
Yadnyesh Patil M. Tech Longitudinal tomographic reconstruction with templates 2021 Software Engineer at Enphase
Ritesh Goenka Project staff (after CSE, BTech) Group testing using compressed sensing with side information 2021 MS student at UBC (Mathematics)
Rishav Chatterjee M. Sc. in Statistics (co-advised with Prof. Radhendushka Srivastava) Reconstruction of Sparse Signals under the influence of Multiplicative Log-Normal Noise using l1-regularization 2021 Machine Learning Researcher at Tvarit GmbH
Ameya Anjarlekar B. Tech (co-advised with Prof. Manoj Gopalkrishnan) Compressed Sensing Matrix Design using Variants of Mutual Coherence 2021 Quantitative Strategist at Quadeye
Jian Vora B. Tech (co-advised with Prof. Rajbabu Velmurugan) Recovery of Joint Probability Distribution from One-way Marginals: Using Low Rank Tensors and Random Projections 2021 MS student at Stanford
Denil Mehta B. Tech. (co-advised with Prof. Amit Sethi) Deep Denoising Models for Cryo-EM 2021 Member of Technical Staff at Adobe, Bengaluru
Krunal Parmar M. Tech. Visual Recognition of Bird Species June 2020 Developer at SAP Labs
Shuvayan Banerjee (co-advised with Prof. Radhendushka Srivastava) M. Sc. in Statistics (co-advised with Prof. Radhendushka Srivastava) Reconstruction of Sparse Signals using Likelihood Maximization in the Presence of Gaussian noise and Saturation June 2020 PhD student at IITB
Parthasarathi Khirwadkar B. Tech.(co-advised with Prof. Rajbabu Velmurugan) Non-rigid image registration using compressed sensing June 2020 MS student at UCSD
R. Sudarsanan B. Tech., Excellence in Research Award An Analytical Study of Cross-Validation in Compressed Sensing under Poisson Noise June 2020 Ph.D. student at MIT
Rupesh B. Tech. Handling Heterogeneity in Cryogenic Electron Microscopy June 2020 Strategist at Tower Research Capital
Maitrey Gramopadhye B. Tech. 3D Reconstruction in Cryogenic Electron Tomography with Translation and Rotational Variance June 2020 Developer at Mastercard
Dr. Preeti Gopal Ph.D. (co-advised with Prof. Sharat Chandran and Prof. Imants Svalbe, Monash) Tomographic Reconstruction: A Radiation Reduction Approach Jan 2020 Postdoctoral Researcher at Deakin University
Avinash Modi M. Tech. Compressive Inversion under Poisson and Poisson-Gaussian noise with tight analytical bounds and regularization parameter selection July 2019 Machine Learning Engineer at Qualcomm, Bangalore
Khursheed Ali M. Tech. Algorithms for cryo-electron microscopy and tomography July 2019 Developer at OnePlus Technology
Kalpesh Dusane M. Tech. Topics in underwater image processing July 2019 Developer at Oracle, Bangalore
Rudrajit Das RnD project Non-linear blind compressed sensing May 2019 PhD student at UT Austin
Chinmay Talegaonkar B. Tech. (co-advised with Prof. Subhasis Chaudhuri) Phase retrieval under Poisson and Saturation Noise May 2019 MS student at UCLA
Dhruv Shah B. Tech. (co-advised with Prof. Rajbabu Velmurugan) Sensing matrix design in compressed sensing May 2019 PhD student at UC Berkeley
Arunabh Ghosh B. Tech. (co-advised with Prof. Subhasis Chaudhuri) Robust Ab Initio Reconstruction from Multiple Particle Cryo- Electron Microscopy May 2019 MS student at UCLA
Udayan Joshi B. Tech. (co-advised with Dr. Karthik Gurumoorthy) Greedy techniques for sparse non-linear regression May 2019 MS student at UCSD
Arijit Pramanik B. Tech. Image Processing Techniques for Raman Spectroscopy May 2019 MS student at U. Wisconsin
Pakshal Bohra D.D.P. (co-advised with Prof. Rajbabu Velmurugan) Poisson Inverse Problems with Performance Bounds July 2018 PhD student at EPFL
Himanshu Pandotra D.D.P. (co-advised with Prof. Rajbabu Velmurugan and Karthik Gurumoorthy (ICTS-TIFR)) Handling model perturbations in compressed sensing: measurement matrix, representation matrix, scene pose July 2018 Samsung Research, Bangalore
Ritwick Chaudhry B. Tech. Robust ab initio Reconstruction from Single Particle Cryo-Electron Microscopy May 2018 Adobe, Bangalore
Deepak Garg M. Tech. (2 year) Compressed Sensing under Poisson and Poisson-Gaussian Noise using Variants of Variance Stabilizing Transforms July 2017 Samsung Research, Bangalore
Alankar Kotwal D.D.P.(co-advised with Prof. Rajbabu Velmurugan), Undergraduate Research Award Designing Sensing Matrices for Compressed Sensing July 2017 Ph.D. student at CMU
Eeshan Malhotra M. Tech. (3 year) (co-advised with Dr. Karthik Gurumoorthy, ICTS-TIFR (Bangalore)) Signal Recovery under Perturbations July 2017 IBM Research Bangalore
Sania Qamar M. Tech. (3 year) (co-advised with Prof. Suyash Awate) Transformation Invariant Dictionary Learning Techniques July 2017 Yodlee, Bangalore
Souvik Sinha Deb M. Tech. (2 year) Image Analysis for Music Analysis July 2016 Adobe, Noida
Sukanya Patil D.D.P. (co-advised with Prof. Rajbabu Velmurugan),Undergraduate Research Award Image reconstruction under Poisson noise July 2016 WorldQuant, Mumbai
Vishal Agarwal B. Tech. (co-advised with Dr. Venkatakrishnan Ramaswamy, NCBS Bangalore) Automated Turing Tests July 2016 MS student at Univ. of Wisconsin, Madison
Yellamraju Tarun B. Tech. (co-advised with Prof. Subhasis Chaudhuri) Video Compression using Coded Snapshots July 2015 PhD student at Purdue University
Hc Lalduhbera M. Tech. (2 year) (co-advised with Venkatakrishnan Ramaswamy, NCBS Bangalore) Automated Turing Tests July 2015 Housejoy, Bangalore
Deepak Babu Sam M. Tech. (2 year) Video Compressive Sensing using Dictionary Learning July 2015 PhD student at IISc Bangalore

Other students