Center Leadership
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Director
LLMs, efficient training, mechanistic interpretability, applied NLP, clinical AI, educational AI -
Associate Director
Computer vision, visual domain adaptation, transfer learning, few-shot learning
Core Faculty
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Reinforcement learning, imitation learning, robotics, and autonomous systems. NSF CAREER Award recipient.
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Graph machine learning, dynamic networks, retrieval-based LLMs, continual learning. NSF CAREER Award.
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AI in human decision-making, trust in human-AI teams, military and defense AI applications. DARPA funded.
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Conversational AI, human-machine interaction, consumer trust and privacy with AI agents.
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Software-defined networks, edge AI, distributed AI training infrastructure. DOE CyberCARE Co-Director. -
Physics-informed AI, materials discovery, uncertainty quantification, generative AI for inverse design. DOE Early Career Award. -
Collective behavior in multi-agent AI systems, autonomous vehicles, online learning algorithms. -
Statistical modeling, temporal knowledge graphs, multimodal ML, time series analysis, space weather AI. -
Privacy-preserving ML, AI-driven security, explainable AI for intrusion detection, deep RL for networking. DARPA YFA. -
Human-computer and human-robot interaction, autonomy trust, personalized AI agents in services. PhD, CMU HCI.