Brief bio: I am currently pursuing my PhD in Computer Science department at Vanderbilt University. I finished my B. Tech in Electrical and Electronics Engineering in 2009. During undergraduate, I won multiple national and international robotics competitions that ignited my interest in embedded programming and system design. I worked on different position in India in heavy engineering and data driven modeling from 2010-2017. In 2018, I moved to Vanderbilt university to pursue my higher education. I earned M.S. degrees in computer science from Vanderbilt University. During my research career at Vanderbilt, I am affiliated with Institute of Software and Integrated System and work with Professor Janos Sztipanovits. Apart from my research focus, I also develop web-based opensource domain specific modeling and simulation tool for smart grid simulation called GridLAB-D Design Studio. My research has been supported by organizations including DARPA, National Science Foundation, and NIST.

Research summary: I am interested in advancing research in AI and applied mathematics and its application in system design and its operation. Our use cases involve the most complex engineering domains like Finite element analysis, Computational fluid dynamics, Computer aided design and learning-enabled nonlinear control. For application purposes, I primarily use computational physics, simulation process, scientific computing using numerical methods and develop novel algorithms using AI and mathematics for tackling these problem. To this end, the AI sub-field that I work with are Deep Active Learning, Surrogate Modeling, Bayesian optimization, Bayesian experimental design, reinforcement learning, computer vision, transformer-based learning, graphical probabilistic modeling, Deep Learning, and other machine learning methods. In system operation, my research interest is optimization/control of nonlinear system using reinforcement learning with focus of research is to find rare event failures and out-of-distribution and anomaly detection in trained reinforcement learning controller for reliable AI-based system operation.

🔥 Projects:

• 2020-current:DARPA Symbiotic Design for Cyber Physical Systems
• 2019-2020:DARPA Progressing Towards Assuredly Safer Autonomous Systems
• 2018-2019 :NSF Partnerships for International Research and Education (PIRE)

🔥 News

• 2022.12:  🎉🎉 Our work on deep learning for finite element analysis is available at IEEE xplore.
• 2022.11:  🎉🎉 Submitted our work on sample efficient deep learning and its application in engineering at EAAI journal.
• 2022.07:  🎉🎉 Presented the deep active learning work at ReALML workshop at ICML2022.

📝 Publications

• Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression : submitted at Engineering Application of Artificial Intelligence (EAAI), Nov 2022.code_github
• Deep Learning-based FEA surrogate for sub-sea pressure vessel, published at IEEE International Conference on Computer, Software, and Modeling, Rome, July, 2022.
• Deep Active Learning for Regression Using ε-weighted Hybrid Query Strategy, in proceeding at ReALML, International Conference on Machine Learning (ICML 2022), Baltimore.
• Reduced Robust Random Cut Forest for Out-Of-Distribution detection in machine learning models in proceeding at International Journal of Machine Learning and Computing (IJMLC 2022).
• EXPPO: Execution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service published at Journal of Systems Architecture, June 2021.
• Rare event failure test case generation in Learning-Enabled-Controllers, published at ACM International Conference on Machine Learning Technologies (ICMLT 2021). South Korea, April, 2021.
• Machine Learning Assisted Propeller Design, published at 12th ACM/IEEE International Conference on CyberPhysical Systems (ICCPS 2021). Nashville, USA, May,2021
• Web-Based Platform for Evaluation of Resilient and Transactive Smart-Grids, published at IEEE Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES), April 2019, Montreal, Canada.
• Design and Simulation Platform for Evaluation of Grid Distribution System and Transactive Energy, published at Hot Topics in the Science of Security (HoTSoS), 2019.
• Modeling and Optimization of a longitudinally distributed Global Solar Grid, published at IEEE International Conference on Power Systems,Dec 2019.

🎖 Honors and Awards

• 2022 Research award from Provost and the Dean of the Graduate School.
• 2016 Best performing engineering member award of the year from the organization (ONGC Ltd).
• 2012 The innovative ideas in engineering award of the year.
• 2009 Awarded 1st prize in ‘Duck & Cover’ (Autonomous and Manual robotics competition) a national level technical festival organized by SASTRA University.
• 2009 Awarded Best Mechanical Design in ‘Slam Dunk’ (to design a robot to play Basketball).

• 2009 4th Place in ‘Labyrinth’ (An autonomous path puzzle solving and navigating robot)

• 2008 3rd prize in ‘Micro-Mouse’ in Nexus-08 an International technical festival organized by IIT Bombay.(Micromouse is an internationally recognized standard search problem where small robot mice solve to search path on a 16×16 maze)
• 2008 1st prize in ‘Micro-Mouse’ in Nexus-08 Cognizance-08 a national level technical festival organized by IIT Roorkee.
• 2008 1st prize in ‘Micro-Mouse’ in Pragyan-08 a national level technical festival organized by NIT Trichy.
• 2008 2nd prize in overall & ‘Best Algorithm Award’ in ‘Cargo-Sapiens’ (autonomous robot) In Daksh-08, a national level technical festival organized by SASTRA University
• 2008 1st prize in microcontroller-based board game, Beeline.
• 2007 2nd prize in ‘Hurdles’ in Daksh-07 a national technical festival organized by SASTRA University.
• 2006 Best op-amp based analog design award for at an international technical festival organized by IIT Madras.

📖 Educations

• 2019 - 2023.02 (expected), Ph.D. in Computer Science, Vanderbilt University, USA.
• 2018 - 2019, M.Sc. in Computer Science, Vanderbilt University, USA.
• 2005 - 2009, B. Tech in Electrical and Electronics Engineering, SASTRA University, India.

💬 Invited Talks

• 2009.02, A gentle introduction of algorithm and embedded programming for micromouse robots, at VIT.

💻 Internships

• 2022.05 - 2022.08, Amazon Inc, Applied Scientist II, USA.