(Ph.D) Falsification & Testing of Autonomous Systems using Bayesian Inference                              

Advised by: Prof. Chuchu Fan (Department of Aeronautics, MIT, MA)       

Enabling faster testing and failure identification of Autonomous systems by designing a novel Machine-learning based sampling approach. Experimental validation of proposed framework on AutoRally racing platform and F1Tenth racing platform (Hardware Demo, Project Website)

• Learning-based Bayesian Inference for Testing of Autonomous Systems. A. Parashar, J. Yin, C. Dawson, P. Tsiotras, C. Fan(Under review, IEEE Robotics and Automation Letters, 2024)
• RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling. C. Dawson, A. Parashar, C. Fan (Under review, IEEE Transactions on Robotics, 2024)

(M.S Thesis Project) Accelerated algorithms for constrained optimization and control

Advised by: Dr. Anuradha Annaswamy (Department of Mechanical Engineering, MIT, MA)   (Thesis link)                     

Solving constrained optimization problems in power flow and flight control using second order gradient based methods

• Accelerated Algorithms for a Class of Optimization Problems with Equality and Box Constraints. A. Parashar, P. Srivastava, A.M. Annaswamy (IEEE American Control Conference, 2023)
• Accelerated Algorithms for a Class of Optimization Problems with Constraints. A. Parashar, P. Srivastava, A.M. Annaswamy, B. Dey, A. Chakraborty (IEEE Conference on Decsion and Control, 2022, Manuscript Link)
• Accelerated Methods for Solving Optimal Power Flow problems. P. Srivastava, A. Parashar, R. Haider, A.M. Annaswamy, G. Ferro, A. Chakraborty, B. Dey (Workshop Presentation (NREL Fifth Workshop on Energy Systems)

(Undergraduate Thesis Project) Design, control and hydrodynamic analysis of an underwater robot

Advised by: Dr. Santhakumar Mohan (Department of Mechanical Engineering, IIT Indore-IIT Palakkad, India)                        

Design, Hydrodynamic analysis and Fault Tolerance Control of Autonomous Underwater Vehicle (AUV) with rotating thrusters  

• Actuator fault tolerant control-study of an underwater robot with four rotatable thrusters. J. Kadiyam, A. Parashar, S. Mohan (Journal of Ocean Engineering, Elsevier, 2020)

Coursework (PhD)

• Dynamics (Fall 2024)
• Nonlinear Control (Fall 2024)

Coursework (MS)

• Stochastic Dynamic Systems (Spring 2023)
• Machine Learning (Fall 2022)
• Real Analysis (Spring 2022)
• Analysis and Design of Feedback Control Systems (Spring 2022)
• Identification, Estimation & Learning (Fall 2021)
• Optimization Methods (Fall 2021)