 |
Mr. Amit Raj | AI Algorithms for Optimizing Trajectories of Fleet of Drones (MS thesis defended in Oct 2024) (Now at Qualcomm India Limited) |
|
 |
Mr. Mithun Singh | Sampled Clustering Algorithms for Rice Phenotypic Data (MS thesis defended in July 2024) (Now at Samsung India Limited) |
|
 |
Mr. Saurav Kumar | CaaGrad: An Adaptive Approach for Optimization in Deep Learning (MS thesis defended in Feb 2023; Jointly with Prof. A. Tiwari) (Now at Indian Space Research Organization – ISRO) |
|
 |
Mr. Siddharth Gupta | Approximated DNNs: A Computationally Efficient Inference (MS thesis defended in Dec 2020; Jointly with Prof. A. Tiwari) (Now a PhD Student at TU Dresden) |
 |
Mr. Priyanshu Singh | Chameleon Clustering Algorithm with Efficient Partitioning (Since July 2022; Jointly with Prof. N. Chaudhari) |
| Mr. Ashish |
Approximate Deep Learning for Brain Research (2021-2022) |
|
| Mr. Gereon Kossmann, Mr. Cedric Rohbani, & Ms. Marina Saveleva |
Basics of conformal prediction and evaluation of simple prediction algorithms on classification (2022, LU Hannover-Germany) |
|
| Mr. Quentin Taillefer |
Error Modeling for Resilient Systems
(2017, EISTI-France) |
|
| Mr. Antoine Perreard |
Convex Optimization for Big Data
(2016, EISTI-France) |
|
| Dr. Deepti Tamrakar |
Breast Cancer Detection
(2016, Postdoc on my CSIR project) |
|
| Ms. Alfiya Tezabwala |
Uncertainty Quantification
(2015, IBM-India) |
|
| Col. Manu Khosla |
Optimization of Resources
(2014, Army-India) |