 |
I am currently a Postdoctoral appointee at the Sandia National Laboratories, Albuquerque. I am interested in Bayesian estimation, machine learning, and controls.
ndas [at] sandia [dot] gov
nil.das.adri [at] gmail [dot] com |
Work
Postdoctoral Appointee at Sandia National Laboratories, Albuquerque, NM, USA, March 2022
Postdoctoral Appointee at Sandia National Laboratories, Livermore, CA, USA, April 2021 - Feb 2022
Teaching Fellow at Department of Aerospace Engineering, Texas A&M University, Fall 2019
Education
Ph.D. in Aerospace Engineering, 2020
Texas A&M University, College Station, USA
M.Tech. in Electrical Engineering, 2014
Indian Institute of Technology, Kanpur, India
B.E.E. in Electrical Engineering, 2012
Jadavpur University, Kolkata, India
Recent Publications
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions | Niladri Das, Jed A. Duersch, and Thomas A. Catanach | 2022 |
Adaptive nary Activation Functions for Probabilistic Boolean Logic | Jed A. Duersch, Thomas A. Catanach, and Niladri Das | 2022 |
Utility and Privacy in Object Tracking from Video Stream using Kalman Filter | Niladri Das and Raktim Bhattacharya | FUSION 2020 | |
Modeling and Optimal Control of Hybrid UAVs with Wind Disturbance | Sunsoo Kim, Niladri Das , and Raktim Bhattacharya | ICSC 2020 |
Eigen Value Analysis in Lower Bounding Uncertainty of Kalman Filter Estimates | Niladri Das and Raktim Bhattacharya | IFAC World Congress 2020 | |
Optimal Transport Based Filtering with Nonlinear State Equality Constraints | Niladri Das and Raktim Bhattacharya | IFAC World Congress 2020 | |
Optimal Sensing Precision in Ensemble and Unscented Kalman Filtering | Niladri Das and Raktim Bhattacharya | IFAC World Congress 2020 | |
On Neural Network Training from Noisy Data using a Novel Filtering Framework | V. Deshpande, Niladri Das , V. Tadiparthi, and Raktim Bhattacharya | AIAA SciTech Forum and Exposition 2020 |
Privacy and Utility Aware Data Sharing for Space Situational Awareness from Ensemble and Unscented Kalman Filtering Perspective | Niladri Das and Raktim Bhattacharya | IEEE Transactions on Aerospace and Electronic Systems | 2019 | accepted |
Talks and Posters
SIAM Annual Meeting, Pittsburg, Pennsylvania, USA | July 11-15, 2022 | Presentation
ISBA, Montreal, Canada | June 26-July 1, 2022 | Poster presentation | Travel grant awarded from ISBA
SIAM UQ, Atlanta, Georgia, USA | April 11-15, 2022 | Chairing a mini-symposium and a presentation.
21st IFAC World Congress, Germany | July 11-17, 2020 | Online presentations
23rd International Conference on Information Fusion, South Africa | July 6-9, 2020 | Online presentation
U.S. Air Force Science and Technology 2030 | Space Situational Awareness | June 2018 | Poster
Texas Systems Day | Optimal Transport Based Satellite State Estimation | March 31, 2017 | Poster
Projects and Fundings
Graduate Research Assistantship | Dr.Kyle DeMars | Faculty Research Startup Fund Summer 2020
Graduate Teaching Assistantship | Spring 2020 (partial)
National Science Foundation | Grant Award No. NSF 1762825 | Spring 2020 (partial)
Graduate Teaching Fellowship | Department of Engineering at Texas A&M University | Fall 2019
Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors | PI: Raktim Bhattacharya, Intelligent Fusion Technology, Inc. | 2018
Cloud Computing Based Robust Space Situational Awareness | PI: Raktim Bhattacharya, Co-PI: Bani Mallick, AFOSR | 2015-2018
Other Professional Positions
Student mentor | Aerospace Engineering Graduate Student Council | TAMU | 2018
Aerospace Engineering Graduate Student Council member | TAMU | 2017
Delegate of Aerospace Department of TAMU | Graduate and Professional Student Council | 2017
Reviewer : IEEE Systems Journal (2017-present) | IFAC World Congress 2020 | CDC 2020 | ACC 2021