Ojasva Goyal

About

I’m an engineer-researcher who loves building things that work outside the lab.I currently work in Physical AI, focusing on the design and deployment of intelligent systems that tightly couple learning-based models with physical environments, spanning perception, decision-making, and edge execution.

I graduated from BITS Pilani (Pilani Campus), where my research centered on deep learning, computer vision, and multimodal perception. From training deep learning models from scratch to deploying them on edge devices and robots, I’ve worked on AI-driven solutions across precision agriculture, UAVs, robotics, and sustainability, combining strong fundamentals with hands-on execution.

My core research interests lie in Physical AI and embodied intelligence, particularly in understanding how learning-based systems can robustly perceive, reason, and act in dynamic, unstructured environments. I’m especially interested in bridging the gap between theoretical model design and real-world performance, where constraints such as noise, latency, and limited compute play a central role.

Employment

• Birla Institute of Technology and Science, Pilani Senior Undergraduate Researcher
  2021 - Present

Education

• Birla Institute of Technology and Science, Pilani Minor
• Birla Institute of Technology and Science, Pilani B.E.

Projects & Funding

Projects & funding information is unavailable.

Publications (4)

• Optimizing the upcycling of microplastics to a carbon-based adsorbent for water treatment: An integrated experimental and computational approach
  Brenda S. Morales-Verdín, Ojasva Goyal, Bhuman Pandita +8 more
  Chemical Engineering Science 2026 DOI: 10.1016/j.ces.2026.123409
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• Efficacy of biochar as a catalyst for a Fenton-like reaction: Experimental, statistical and mathematical modeling analysis
  Oscar Manuel Rodriguez-Narvaez, Bhuman Pandita, Ojasva Goyal +5 more
  Journal of Water Process Engineering 2025 DOI: 10.1016/j.jwpe.2025.107014
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• Integrating deep learning for visual question answering in Agricultural Disease Diagnostics: Case Study of Wheat Rust
  Akash Nanavaty, Rishikesh Sharma, Bhuman Pandita +6 more
  Scientific Reports 2024 DOI: 10.1038/s41598-024-79793-2
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• RC Car Dataset
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