Adversarial Artificial Intelligence Developing robust AI systems that withstand adversarial attacks — across network security, mobile malware, healthcare AI, and social network manipulation. Encrypted Traffic Classification AI-powered classification of encrypted network traffic — enabling security monitoring and QoS management without compromising encryption or user privacy. Medical Data Science Machine learning for critical care — predicting ICU feeding complications, phenotyping rare respiratory diseases, and enabling privacy-preserving medical data collaboration. Incentive Design Mechanism design and game theory for e-commerce platforms, team formation, and kidney exchange — aligning individual incentives with collective outcomes. Quantifying Constructivist Learning in Studio-Based Education Data science methods that quantify learning in design studio education — measuring cognitive breakthroughs, engagement, and teaching effectiveness during live critiques. A Multimodal Approach for Measuring Item Similarity Multimodal AI that fuses computer vision and NLP to measure item similarity the way humans do — powering smarter recommendations in tourism, e-commerce, and real estate.
