Niladri Das

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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

  1. Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions | Niladri Das, Jed A. Duersch, and Thomas A. Catanach | 2022 |

  2. Adaptive nary Activation Functions for Probabilistic Boolean Logic | Jed A. Duersch, Thomas A. Catanach, and Niladri Das | 2022 |

  3. Utility and Privacy in Object Tracking from Video Stream using Kalman Filter | Niladri Das and Raktim Bhattacharya | FUSION 2020 | |

  4. Modeling and Optimal Control of Hybrid UAVs with Wind Disturbance | Sunsoo Kim, Niladri Das , and Raktim Bhattacharya | ICSC 2020 |

  5. Eigen Value Analysis in Lower Bounding Uncertainty of Kalman Filter Estimates | Niladri Das and Raktim Bhattacharya | IFAC World Congress 2020 | |

  6. Optimal Transport Based Filtering with Nonlinear State Equality Constraints | Niladri Das and Raktim Bhattacharya | IFAC World Congress 2020 | |

  7. Optimal Sensing Precision in Ensemble and Unscented Kalman Filtering | Niladri Das and Raktim Bhattacharya | IFAC World Congress 2020 | |

  8. 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 |

  9. 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

  1. SIAM Annual Meeting, Pittsburg, Pennsylvania, USA | July 11-15, 2022 | Presentation

  2. ISBA, Montreal, Canada | June 26-July 1, 2022 | Poster presentation | Travel grant awarded from ISBA

  3. SIAM UQ, Atlanta, Georgia, USA | April 11-15, 2022 | Chairing a mini-symposium and a presentation.

  4. 21st IFAC World Congress, Germany | July 11-17, 2020 | Online presentations

  5. 23rd International Conference on Information Fusion, South Africa | July 6-9, 2020 | Online presentation

  6. U.S. Air Force Science and Technology 2030 | Space Situational Awareness | June 2018 | Poster

  7. Texas Systems Day | Optimal Transport Based Satellite State Estimation | March 31, 2017 | Poster

Projects and Fundings

  1. Graduate Research Assistantship | Dr.Kyle DeMars | Faculty Research Startup Fund Summer 2020

  2. Graduate Teaching Assistantship | Spring 2020 (partial)

  3. National Science Foundation | Grant Award No. NSF 1762825 | Spring 2020 (partial)

  4. Graduate Teaching Fellowship | Department of Engineering at Texas A&M University | Fall 2019

  5. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors | PI: Raktim Bhattacharya, Intelligent Fusion Technology, Inc. | 2018

  6. Cloud Computing Based Robust Space Situational Awareness | PI: Raktim Bhattacharya, Co-PI: Bani Mallick, AFOSR | 2015-2018

Other Professional Positions

  1. Student mentor | Aerospace Engineering Graduate Student Council | TAMU | 2018

  2. Aerospace Engineering Graduate Student Council member | TAMU | 2017

  3. Delegate of Aerospace Department of TAMU | Graduate and Professional Student Council | 2017

  4. Reviewer : IEEE Systems Journal (2017-present) | IFAC World Congress 2020 | CDC 2020 | ACC 2021