Ross Greer

I am an Assistant Professor in the Computer Science & Engineering Department at the University of California Merced. I lead the Mi³ Lab to research machine intelligence, interaction, and imagination.

In my research, I use computer vision & artificial intelligence to create systems that help keep people safe and create or enhance human-interactive capabilities. My research is most often applied to the domain of Safe Autonomous Driving. The goal of my research is to build systems which are adaptable to the open world, robust to the long-tail problem and curse of rarity, and safe around chaotic human agents. Methods I develop are used to quantify uncertainty, importance, and novelty in learning systems, improving data utility and curation.

Additional areas of my research facilitate human-human and human-machine musical interactions, using AI to quantify and learn not only performer behaviors and symbolic & acoustic musical patterns, but also latent representations of "imagination", "creativity", and expression.

My Ph.D. was supervised by Mohan Trivedi in the Laboratory for Intelligent & Safe Automobiles (LISA) at the University of California San Diego. At UCSD, I also conducted research with Shlomo Dubnov through the Center for Research in Entertainment & Learning (CREL). My research was supported by the Qualcomm Innovation Fellowship, IRCAM's Project REACH, as well as the generous support of lab sponsors Toyota CSRC, AWS, and the UCOP ILTI grant.

News & Media

Teaching

News & Media

I received the 2024 Interdisciplinary Research Award, awarded by the UC San Diego GPSA.
I received the 2024 Henry Booker Award for Exemplary Ethical Engineering, awarded by the Jacobs School of Engineering.
I am the recipient of a Postdoctoral Networking Fellowship from the Germany's Academic Exchange Service; my research bio is featured in their program.
Professor Shlomo Dubnov presented our research in AI & Visual Cues for Musical Improvisation at the 10th annual Improtech conference.
My colleague Lulua Rakla and I won the Grand Prize for the AWS Automotive Day competition at IEEE Intelligent Vehicles Symposium, for implementing a drowsy driving detection system using AWS cloud solutions.
Our poster for Safe, Multi-View Activity Recognition by Tracking Hands: Robust Visual Learning with Missing Data won the Grand Prize and Department Best Poster Award at the 2023 Jacobs Research Expo. Press Release
Our research project SMART Hands was selected by NHTSA as the North American representative for the final round of the Safety Design Competition for the 2023 International Technical Conference on the Enhanced Safety of Vehicles in Yokohama, Japan.
Two of our research projects (CHAMP, SMART Hands) were selected by NHTSA as regional finalists in the Safety Design Competition for the 2023 International Technical Conference on the Enhanced Safety of Vehicles.
My research partner Kuan-Lin Chen & I are finalists for winners of (!) the 2022 Qualcomm Innovation Fellowship. Our proposal is on Active Learning for Autonomous Driving Datasets.
My poster for Trajectory Prediction with a Novel Lane-Heading Auxiliary Loss won a Best Poster Award at the 2021 Jacobs Research Expo. Press Release
Our collaboration with Amazon's Machine Learning Solutions Lab was featured in an AWS blog post.
My work with Professor Shlomo Dubnov in restoring nonverbal communication to virtual classrooms was featured in NewScientist magazine, Engineering.com, and CSE News,
I was interviewed by Pianist Tiffany Poon for an episode of Together With Classical, where we discussed the intersection of A.I. & Music.
I spoke at the Winter 2021 Educational Innovation Expo @ UCSD.

Teaching

EECS 270 Robot Algorithms (UC Merced)

CSE 185 Computer Vision (UC Merced).

For those who enjoyed CSE 190 Machine Learning for Music and Audio or my past lectures on neural networks, please check out the textbook I wrote with Shlomo Dubnov - Deep and Shallow: Machine Learning in Music and Audio.

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