Ross Greer
Assistant Professor
Computer Science & Engineering
University of California Merced
I lead the Mi³ Lab (Machine Intelligence, Interaction, and Imagination) at UC Merced. My research applies computer vision and AI to enable safe autonomous driving. I focus on building systems that can handle the unpredictable nature of real-world driving: quantifying uncertainty, responding robustly to rare events, and ensuring safety when humans and machines must collaborate.
Core research themes include:
- Uncertainty quantification in learning systems
- Robustness against rare events and open-world scenarios
- Safety in human-interactive systems
- Data curation and utility optimization
I received my Ph.D. from UC San Diego, where I was supervised by Mohan Trivedi at the Laboratory for Intelligent & Safe Automobiles (LISA). I also collaborated with Shlomo Dubnov through the Center for Research in Entertainment & Learning (CREL), exploring the intersection of AI and music and co-authoring the textbook Deep and Shallow: Machine Learning in Music and Audio.