Rishab Balasubramanian

I am currently a MS student at Oregon State University, advised by Huazheng Wang. My research interests lie in the intersection of efficient model desing and training, and multimodal learning. Currently, I am exploring the limitations of bandit algorithms and recommendation systems under adversarial examples. Previously, I worked with Dr. Prasad Tadepalli on 3D computer vision, object reconstruction from images. Before that I was a Data Scientist/Computer Vision Engineer at EndovisionAi. Here I worked on SLAM and Shape from Shading methods for reconstructing human anatomy using endoscope images. I was also a Research Assistant at MARMoT Laboratory, and the MOON Laboratory. I completed my Bachelor's (B.Tech) from the National Institute of Technology Tiruchirapalli (NIT-Trichy), India, where I was a part of RMI, the robotics club.

In my spare time, I enjoy the adrenaline of competition from playing video games (such as Dota 2, Rainbow Six Siege and Valorant) and competitive programming. I also contribute to open source (huggingface, pytorch lightning).

Email / CV / Github / Google Scholar

Affliations


NIT Trichy 2016-2020	NUS Singapore 2020-2021	EndovisionAI 2020-2021	Oregon State University 2021-Present

Research Work (Highlighted items include publications/preprints)

	Adversarial Attacks on Combinatorial Multi-Armed Bandits Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao Submitted to NeurIPS 2023 code
	Adversarial Attacks on Online Learning to Rank with Stochastic Click Models Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang Submitted to NeurIPS 2023 code
	Multi-view reconstruction of Objects Rishab Balasubramanian, Prasad Tadepalli code
	3D reconstruction from endoscopic images Rishab Balasubramanian, EndovisionAi
	Contrastive Learning for OOD in Object detection Rishab Balasubramanian, Rupashree Dey, Kunal Rathore arXiv code
	Risk Averse Submodular Optimization for the Multi-Objective Travelling Salesman Problem Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar, P.B.Sujit Accepted to International Conference on Intelligent Robots and Systems (IROS) 2021 video / code
	Autonomous Mapping And Safe Footfall Planning For Hexapods Rishab Balasubramanian, Sun Ge, Guillaume Sartoretti code Working on autonomous control of a legged robot to map a room using RTABMap Framework
	Formation Control And Collision Avoidance For Multi-Agent Systems Rishab Balasubramanian, Lalita Soundari, Prof. M Umapathy Thesis Multi agent collision Avoidance using the Optimal Reciprocal Collision Avoidance (ORCA) Algorithm and comparison with other algorithms
	A Cooperative Framework for Autonomous Landings of Quadrotors using Vision on a Moving UGV Rishab Balasubramanian, P.B. Sujit Accepted to AIAA SciTech , 2021 code / slides / video
	Real-Time American Sign Language To Text Conversion Using Convolutional Neural Networks Rishab Balasubramanian, Ramasubba Reddy abstract / code
	Ballbot Rishab Balasubramanian, Harishankar R, Aswin G, Harinaath Gopi abstract / code Simulated a dynamic ball-balancing robot, with point to point movement using a PID controller

Special thanks to Jon Barron for the website template