I am a Master’s student at Northeastern University, primarily focused on Artificial Intelligence and Robotics. I currently serve as a Teaching Assistant for the Foundations of AI course led by Professor Rajagopal Venkateshwara. My research, conducted under the supervision of Professor Robert Platt, is centered around developing efficient algorithms for autonomous robot navigation, aimed at reducing computational power consumption while increasing navigation speed. In parallel, I am exploring neural network architectures, including methods to incorporate equivariant networks alongside conventional CNNs.

In my spare time, I enjoy working on robotics and 3D printing projects. Some of the projects I've built include robotic arms, various types of electric bicycles, and 3D-printed drones, boats, and aircraft. Additionally, I’m passionate about outdoor activities, particularly cycling.

• A. R. Bharadwaj, Anio Zhang, “Efficient Inverse Kinematics for High-DoF Robots: A Kolmogorov-Arnold Network Approach”, Northeast Robotics Colloquium (NERC), Amherst, USA, 2024, Sept 2020.
  
• A. R. Bharadwaj, S. S. Chandra, D. S. Nair, A. R. Hatim and A. Ravikumar, “Automated Mythological Scene Recognition using Machine Learning and Graphs”, 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), Amaravati, India, 2020, pp. 1-5, Jan 2020.
  
• Ashwin R. Bharadwaj, Hardik Gourisaria, Hrishikesh Viswanath, “Video Frame Rate Doubling Using Generative Adversarial Networks”, Computer Communication, Networking, and IoT (ICICC 2020), Bengaluru, India, Aug. 2020.