CV

Doctor of Philosophy

University of Southern California

Computer Science

Master of Science

University of Alberta

Computing Science

Bachelor of Technology

Indian Institute of Technology Bombay

Electrical Engineering

Guidance Graph Optimization for Lifelong Multi-Agent Path Finding

Zhang, Y., Jiang, H., Bhatt, V., Nikolaidis, S., and Li, J.

Accepted at IJCAI

Multi-Robot Coordination and Layout Design for Automated Warehousing

Zhang, Y., Fontaine, M. C., Bhatt, V., Nikolaidis, S., and Li, J.

Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)

Surrogate Assisted Generation of Human-Robot Interaction Scenarios

Bhatt, V., Nemlekar, H., Fontaine, M.C., Tjanaka, B., Zhang, H., Hsu, Y. C., and Nikolaidis, S.

Proceedings of the Conference on Robot Learning (CoRL)

Arbitrarily Scalable Environment Generators via Neural Cellular Automata

Zhang, Y., Fontaine, M. C., Bhatt, V., Nikolaidis, S., and Li, J.

Advances in Neural Information Processing Systems (NeurIPS)

Deep Surrogate Assisted Generation of Environments

Bhatt, V., Tjanaka, B., Fontaine, M. C., and Nikolaidis, S.

Advances in Neural Information Processing Systems (NeurIPS)

An Analysis of Frame-skip in Reinforcement Learning

Kalyanakrishnan, S., Aravindan, S., Bagdawat, V., Bhatt, V., Goka, H., Gupta, A., Krishna, K., and Piratla, V.

arXiv preprint arXiv:2102.03718

Inference-based Deterministic Messaging For Multi-Agent Communication

Bhatt, V. and Buro, M.

Proceedings of the 35th AAAI Conference on Artificial Intelligence

Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix

Bhatt, V., Shrivastava, S., Chavan, T., and Ganguly, U.

Proceedings of the International Joint Conference on Neural Networks (IJCNN)

Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks

Bhatt, V., and Ganguly, U.

Proceedings of the 27th International Conference on Artificial Neural Networks (ICANN)

Research Assistant

University of Alberta, Canada

Worked on modeling human behavior in strategic games. Collected human behaviour data using Amazon Mechanical Turk and analyzed it through behavioural game theory models.

Intern

Samsung Electronics, South Korea

Created a prototype for a smart home monitoring system using anomaly detection.

Intern

Philips, India

Developed a framework to automatically generate lip-sync animations and emotions in a 3D avatar given a text to speak, as a part of a virtual chatbot.

Deep Learning and its Applications

University of Southern California

Introduction to Robotics

University of Southern California

Intelligent Agents

University of Alberta

Reinforcement Learning Specialization

University of Alberta on Coursera

Introduction to the Foundations of Computation

University of Alberta

Partial Differential Equations

Indian Institute of Technology Bombay

Quality Diversity Scenario Generation for Robust Intelligent Agents

USC Theta Tau Professor Research Event (on behalf of the ICAROS Lab)

Environment Generation for Generalizable Robots

EGG workshop at RSS 2023

Training Multiple Intelligent Agents to Communicate

Tea Time Talks 2019, Department of Computing Science, University of Alberta

The StarCraft 2 ML Environment

AIIDE-18 Workshop on Artificial Intelligence for Strategy Games (joint talk with Arta Seify)

Represented ICAROS Lab in the Robotics Open House 2024, showing robot demos to K-12 students.

Led the organization of the first workshop on Environment Generation for Generalizable Robots (EGG) at RSS 2023.