Dr. Shakil M. Khan

The primary research of Dr. Shakil M. Khan is at the intersection of two sub-topics of artificial intelligence (AI), knowledge representation and reasoning, and autonomous agents and multi-agent systems. He studies the logical specification of agents' mental states and rational behaviour, and formal models of deliberation and reasoning within the multi-agent systems paradigm. Khan's principal topics of research include action, change, and causality, common-sense reasoning, reasoning about knowledge, beliefs, and other mental attitudes, belief change, goal reasoning, preferences, agent theories and models, agent programming languages, agent communication, temporal, epistemic, and strategic reasoning, and multi-agent planning. He is also interested in applications of AI, in particular in software engineering.

Google Scholar: https://scholar.google.ca/citations?user=of3AuYYAAAAJ&hl=en  
DBLP: https://dblp.org/pid/45/4211-1.html