Bharath Muppasani is a Ph.D. candidate and Graduate Research Assistant at the University of South Carolina with nine years of experience developing adaptable AI/ML solutions for planning and multi-agent coordination. His research blends model-based and learning-based planning to enable efficient, resource-constrained robotic deployments in dynamic real-world environments. He holds an ECE degree from IIIT Naya Raipur and previously worked on multi-occupant activity detection at IIT Kharagpur, reflecting a strong foundation in sensing-driven intelligent systems. Actively seeking Summer 2026 internships in AI/ML R&D, Bharath combines rigorous academic training with hands-on system integration skills and a pragmatic focus on deployable autonomy. Notably, his work emphasizes practical trade-offs between learnable policies and structured knowledge representation to improve robust coordination under uncertainty.
8 years of coding experience
Secondary, 10th, Secondary, 10th at Bhashyam Educational Institutions
Higher Secondary, Maths, Physics, Chemistry, Higher Secondary, Maths, Physics, Chemistry at Narayana Junior College - India
Doctor of Philosophy, Computational Science, Doctor of Philosophy, Computational Science at University of South Carolina
Bachelor's Degree, Electrical, Electronics and Communications Engineering, Bachelor's Degree, Electrical, Electronics and Communications Engineering at International Institute of Information Technology
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at IIIT-Naya Raipur
Repository for details about the dataset shared in our paper "A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors"
Contributions:62 pushes, 1 branch in 1 year 6 months
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