A ship in harbor is safe, but that is not what ships are built for.
Academic and Professional Background[edit | edit source]
Innovative and hardworking professional who loves taking up challenges and solving real-life problems. Former Head of Artificial Intelligence at Third Insight AI and current Head of Algorithms and Optimization at DeepKapha AI.
Actively seeking Ph.D. opportunities in the field of Artificial Intelligence.
I completed Master's program in Mechanical Engineering from Michigan Technological University with a focus on robotics and reinforcement learning. My graduate research was centered around quantifying the uncertainty involved in world models and utilizing the same to develop data efficient control systems for autonomous robots.
In my spare time, I run and develop for Machine Learning One, a non-profit collective focused on performant yet sustainable machine learning research and development.
Research Interests[edit | edit source]
Publications[edit | edit source]
- Patwardhan, Narendra, Madhura Ingalhalikar, and Rahee Walambe. "ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets." arXiv preprint arXiv:1805.08878 (2018).
- Walambe, Rahee, Narendra Patwardhan, and Vrunda Joshi. "Development of Auto-parking and Collision Avoidance Algorithms on Car type Autonomous Mobile Robots." IFAC-PapersOnLine 53.1 (2020): 567-572.
- Wang, Zequn, and Narendra Patwardhan. "Design of Control Systems Using Active Uncertainty Reduction-Based Reinforcement Learning." International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 84010. American Society of Mechanical Engineers, 2020.
- Wang, Zequn, and Narendra Patwardhan. "Reliability-Based Reinforcement Learning Under Uncertainty." International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 84003. American Society of Mechanical Engineers, 2020.