About Me
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.
Teaching Experience
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Teaching Assistant at Northeastern University, CS4100 (Foundations of Artificial Intelligence), Spring 2024.
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Teaching Assistant at Northeastern University, CS4100 (Foundations of Artificial Intelligence), Summer 2024.
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Teaching Assistant at Northeastern University, CS5100 (Foundations of Artificial Intelligence), Fall 2024.
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Teaching Assistant at Northeastern University, CS5100 (Foundations of Artificial Intelligence), Spring 2025.
Publications
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Ashwin Bharadwaj, Anio Zhang, Rajagopla Venkat. Shapeshifting Coloring Problems: An Interactive Tiling Assignment AAAI/EAAI 2025.
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Anio Zhang, Ashwin Bharadwaj, Rajagopal Venkatesaramani. Escape the Castle: Estimate the behaviour using MDP problem. AAAI/EAAI 2025.(Awaiting publication)
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A. R. Bharadwaj, Anio Zhang, “Efficient Inverse Kinematics for High-DoF Robots: A Kolmogorov-Arnold Network Approach”, Northeast Robotics Colloquium (NERC), Amherst, USA, 2024.
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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.
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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.