معرفی
Devendra Singh Dhami is an Assistant Professor in Mathematics and Computer Science at Eindhoven University of Technology, specializing in uncertainty in artificial intelligence. His research develops advanced methods in probabilistic circuits, neural-symbolic learning, and causal inference for applications in computer vision and bioinformatics.
Key research areas include machine learning scalability, graph-based biological network analysis, and satellite image processing for infrastructure risk detection. His work frequently integrates deep learning with symbolic reasoning.
Recent publications focus on neuro-symbolic systems, temporal causality, and efficient algorithms for large-scale data. Trends show strong emphasis on interpretable AI and cross-disciplinary applications.
No awards, students, or lab details are documented.
