Harisankar Babu

• Design and training of DL models, enhancing aerial perception with increased model efficiency and precision. • Pioneered the implementation of knowledge distillation techniques, leading to notable performance augmentation in optimized models, and utilized inference optimization techniques like TensorRT for deployment. • Developed Python packages to standardize model deployment across platforms, resulting in streamlined operations.

• Conceived an innovative environment for training reinforcement learning agents, focusing on improving navigation and decision-making capabilities. • Conducted comprehensive research on reinforcement learning algorithms and their applicability to path-planning problems. • Engineered unique reward structures and observation spaces to maximize training efficiency.

• Enhanced dataset quality for semantic scene parsing, optimizing accuracy in autonomous flight systems. • Trained and fine-tuned models for semantic scene parsing, leveraging state-of-the-art techniques and algorithms. • Successfully migrated existing pipelines to ROS2 (Robot Operating System 2) for offboard control and navigation, promoting highly automated flying capabilities. • Formulated robust pipelines for lidar point cloud mapping and efficient path planning.

Calibrated TCAD decks aligning with HW measurement data, emphasizing 22nm/28nm MOSFET IV characteristics, CV characteristics, and temperature impacts.

• Diesel engine design and development. • Orchestrated collaborative projects with suppliers, streamlining system and component development. • Fostered inter-team relationships, ensuring seamless workflow between calibration and production teams.

Grade: 1.3 • Master's Thesis: Reinforcement learning-based path planning for autonomous flights. • Project: Numerical integration methods for neural net losses for autoencoders. • Courses: Machine Learning and Data Mining, High-Performance Computing and Parallel Programming, GPU Programming, Scientific Computing

Grade: 1.8 (with Distinction) • Courses: Automobile Engineering, Mechatronics