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Niladri Das

I am a Postdoctoral appointee at the Sandia National Laboratories.
I am interested in Bayesian estimation, machine learning, data privacy, and controls.


ndas [at] sandia [dot] gov

nil.das.adri [at] gmail [dot] com

News

Presenting on Variational Kalman Filtering at IEEE CDC 2022 at Cancun, Mexico in Dec 2022.

Proposal for a mini-symposium on Variational inference for SIAM CSE 2023 at Amsterdam, The Netherlands in Feb-March 2023, accepted.

Work Experience

Postdoctoral Appointee at Sandia National Laboratories, USA, April 2021 - Present.

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 | | CDC 2022

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

  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 |

Talks and Posters

  1. IEEE CDC, Cancun, Mexico | Dec 6-9, 2022 | Presentation

  2. Society of Engineering Sciences Annual Technical Meeting, College Station, TX, USA | October 16-19, 2022 | RL in Material Science Research | Presentation

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

  4. Won best poster award and travel grant at ISBA, Montreal, Canada | June 26-July 1, 2022

  5. Organized Mini-symposium at SIAM UQ, Atlanta, Georgia, USA | April 11-15, 2022 | Presented on Variational Inference

  6. 21st IFAC World Congress, Germany | July 11-17, 2020 | 3 Online presentations

  7. 23rd International Conference on Information Fusion, South Africa | July 6-9, 2020 | Online presentation

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

  9. 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 2020,2022 | ACC 2021 | Systems and Control Letter 2022