🎓 I am currently on the academic job market!
Welcome!
I am Shivvrat Arya (Shiv), a final-year Ph.D. candidate in Computer Science at The University of Texas at Dallas. My research lies at the intersection of neurosymbolic AI, probabilistic reasoning, and computer vision. I collaborate with Dr. Vibhav Gogate and Dr. Yu Xiang on several DARPA-funded projects:
- DARPA Explainable Artificial Intelligence (XAI)
- DARPA Perceptually-Enabled Task Guidance (PTG)
- DARPA Assured Neuro Symbolic Learning and Reasoning (ANSR)
Research Focus
Broadly speaking, my research interests primarily focus on artificial intelligence and machine learning, with an emphasis on neuro-symbolic and graph-based methods. I aim to develop AI systems that combine interpretability with powerful reasoning capabilities. Key areas include:
- Neurosymbolic AI: Integrating formal world models with neural networks
- Probabilistic Methods: Novel inference approaches for graphical models
- Computer Vision: Advanced video understanding and activity recognition
- Explainable AI: Interpretable models supporting polynomial-time reasoning
Recent Contributions
- Published research recognized with best paper awards spotlight and oral presentations
- Developed novel neural network-based inference methods for probabilistic models
- Created CaptainCook4D, an egocentric 4D dataset for procedural task understanding
- Built real-time AR guidance systems for complex physical tasks
Education
- Ph.D. Candidate in Computer Science, The University of Texas at Dallas (expected graduation: May 2025)
- M.S. in Computer Science, The University of Texas at Dallas
- B.Tech. in Computer Science and Engineering, Indian Institute of Information Technology Vadodara (2019)