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Omanshu Thapliyal
Urban Air Mobility Researcher, Big Data Analytics & Solutions Lab Hitachi America Ltd.
Ph.D., Purdue University
omanshu.nimbus@gmail.com

Hello!

I am an Urban Air Mobility (UAM) Researcher at Hitachi America Ltd., working on problems relating to Safe Control Synthesis and Data-Driven Control.

I hold a Ph.D. in Aeronautics & Astronautics Engineering, from Purdue University, West Lafayette with a concentration in Autonomy & Controls. I was advised by Prof. Inseok Hwang and Prof. Arthur Frazho. Prior to that, I worked with the MathWorks Inc. at Natick, Massachusetts, before which, I did my M.S. in Aeronautics & Astronautics Engineering from Purdue University, and B.Tech. in Aerospace Engineering from IIT Kanpur.

Research Interests

  • Safe Autonomy
  • Data-driven Controls
  • Distributed & Networked Control Systems
  • System-of-Systems Engineering

Education

Ph.D., Purdue University
2019 - 2024
Aero. Astro Engineering, Concentration: Autonomy & Controls
Supervised by Prof. Inseok Hwang and Prof. Arthur Frazho
M.S., Purdue University
2015 - 2017
Aero. Astro Engineering, Concentration: Autonomy & Controls
Supervised by Prof. Inseok Hwang
B.Tech., IIT Kanpur
2010 - 2014
Aerospace Engineering

Personal Interests

I like to read books in my spare time. The last recommendable book I read was 1177 B.C. At the moment I am reading Some Assembly Required and Joy of Abstraction.
I also like playing board games and Dungeons & Dragons with my party. I am currently trying to level up my Half - Elf Bard RIP, Rye Bread. I love live music and am generally into progressive rock. I also play a little myself. Friends often find me playing my guitar or ukulele before I am forced to shut down. I also play some video games from time to time. If I really want to waste a day, I fire up a game of Sid Meier’s Civilization (V over VI; eagerly waiting for VII).

Projects

Whatever cool things I am/have been working on
Assuring Data-Driven Safety for Autonomous Systems
Secure and Safe Assured Autonomy (S2A2)
Consensus based tracking & state estimation for networked control systems
Kalman Filtering under Packet Losses

Publications

Whatever cool stuff I do that is peer reviewed
An Algorithm for Distributed Computation of Reachable Sets for Multi-Agent Systems, 2024, arXiv preprint
Omanshu Thapliyal , Shanelle G Clarke , Inseok Hwang
Embedding Safety Requirements into Learning-Based Controllers for Urban Air Mobility Applications, 2024, AIAA SciTech 2024 Forum
Omanshu Thapliyal , Malarvizhi Sankaranarayanasamy , Ravigopal Vennelakanti
Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators, 2023, IEEE International Conference on Big Data 2023
Neda Zarayeneh , Malarvizhi Sankaranarayanasamy , Pegah Mavaie , Omanshu Thapliyal , Prasun Singh , Ravigopal Vennelakanti
Distributed Denial-of-Service Resilient Control for Urban Air Mobility Applications, 2023, Journal of Aerospace Information Systems
Shanelle G Clarke , Sounghwan Hwang , Omanshu Thapliyal , Inseok Hwang
Data-driven Cyberattack Synthesis against Network Control Systems, 2023, International Federation for Automatic Control (IFAC) World Congress 2023
Omanshu Thapliyal , Inseok Hwang
Attack-resilient distributed optimization-based control of multi-agent systems with dual interaction networks, 2022, AIAA SciTech 2022 Forum
Shanelle G Clarke , Omanshu Thapliyal , Sounghwan Hwang , Inseok Hwang
Provably Stabilizing Model-Free Q-Learning for Unknown Bilinear Systems, 2022, arXiv Preprint
Shanelle G Clarke , Omanshu Thapliyal , Inseok Hwang
Approximate reachability for Koopman systems using mixed monotonicity, 2022, IEEE Access
Omanshu Thapliyal , Inseok Hwang
Distributed Fast-Tracking Alternating Direction Method of Multipliers (ADMM) Algorithm with Optimal Convergence Rate, 2021, IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Shreyansh Shethia , Akshita Gupta , Omanshu Thapliyal , Inseok Hwang
Learning Based Cyberattack Design and Defense for Supervisory Control Systems, 2021, European Control Conference (ECC) 2021
Omanshu Thapliyal , Inseok Hwang
Path Planning for a Network of Robots with Distributed Multi-Objective Linear Programming, 2021, American Control Conference (ACC) 2021
Omanshu Thapliyal , Inseok Hwang
Predicting Mode Confusion Through Mixed Integer Linear Programming, 2019, IEEE 58th Conference on Decision and Control (CDC) 2019
Vignesh Sivaramakrishnan , Omanshu Thapliyal , Abraham Vinod , Meeko Oishi , Inseok Hwang
Kalman filtering with state‐dependent packet losses, 2019, IET Control Theory & Applications
Omanshu Thapliyal , Suraj Jayaprakash Nandiganahalli , Inseok Hwang
Distributed state estimation for a stochastic linear hybrid system over a sensor network, 2018, IET Control Theory & Applications
Raj Deshmukh , Omanshu Thapliyal , Cheolhyeon Kwon , Inseok Hwang
Optimal state estimation for LTI systems with imperfect observations, 2017, IEEE 56th Annual Conference on Decision and Control (CDC)
Omanshu Thapliyal , Suraj Jayaprakash Nandiganahalli , Inseok Hwang