For latest research updates, please visit the ARIA Lab research page.
Research Interests
- Foundations & Methods — Machine (Deep) Learning, Neurosymbolic AI, Combinatorial Optimization, Probabilistic Modeling and Inference, Explainable and Interpretable Models
- Applications — Human–AI Interaction with Neurosymbolic and Deep Models, Computer Vision, Video Understanding, and Language Reasoning
Current Research Focus
Dr. Arya’s current research focuses on developing neurosymbolic models that integrate deep neural architectures with symbolic reasoning and probabilistic frameworks; advancing tractable probabilistic modeling to support efficient and scalable inference; creating neural network–based solvers for large-scale combinatorial optimization; and designing methods for explainable AI in structured and hybrid systems, with applications in computer vision, activity recognition, and multimodal learning.
Certificates & Awards
