Summary
Bhaskar Trivedi is an adjunct instructor and PhD candidate in Computer Science at the University of Texas at Arlington (expected Fall 2025) with eight years of industry and academic experience bridging robotics, AI, and production C++ systems. His research develops environment- and intention-aware navigation and collaboration for unmanned aerial systems, combining learned risk-map augmentation from aerial imagery with intention-estimating agents trained via reinforcement learning on modified Dec-POMDPs. He also proposed a novel activation function (DWReLU) during his MS work to improve neural network generalization, reflecting a persistent interest in improving learning dynamics as well as safety-aware autonomy. Previously he shipped low-latency market-data and V2I transport systems as a senior software engineer, and he brings full lifecycle engineering skills across C++, Python, TensorFlow, and Linux/Windows platforms. Known for translating complex research into teachable material, he balances classroom instruction with hands-on research and system development in robotics and computer vision.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Arlington
Bachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at Bharti Vidya Peeth
English, Hindi