Elizabeth Bondi-Kelly

Elizabeth Bondi-Kelly is an Assistant Professor of Electrical Engineering and Computer Science at the University of Michigan's College of Engineering. She directs research at the intersection of artificial intelligence and social impact, with dual focus on conservation technology and public health applications.

Her research program develops novel machine learning methods for multi-agent systems, including computer vision approaches for wildlife protection and human-AI collaboration frameworks for healthcare. Core technical innovations include evolutionary game theory for security applications, geospatial deep learning for environmental monitoring, and interpretable AI for medical decision support.

Dr. Bondi-Kelly's publications demonstrate consistent focus on creating deployable AI systems that address societal challenges. Recent methodological advances span active learning in conservation contexts, human-AI interaction paradigms, and noise-aware geospatial modeling.

• Google Academic Research Award (2024)
• MIT EECS Rising Stars (2021)
• Best Paper Runner Up at AAAI 2021
• Best Application Demo Award at AAMAS 2019
• Best Paper Award at SPIE DCS 2016
• NSF Graduate Research Fellowship Honorable Mention (2017)