My primary research work aims to make driving intelligent and safer (for both pedestrians and vehicle occupants) through computer vision and artificial intelligence. Our lab emphasizes a LILO (looking inside, looking outside) approach to holistic safety. Accordingly, part of my research involves sensors outside of the cabin perceiving the surround in order to accurately estimate vehicle and pedestrian trajectories, where I have contributed new metrics and loss functions to improve state-of-the-art multimodal trajectory prediction models. The other part of my research involves understanding driver awareness and intent by analyzing in-cabin behavior using a fusion of sensors and cues.
PhD in Electrical & Computer Engineering. UC San Diego, in progress.
MS in Electrical & Computer Engineering. UC San Diego, 2018.
BS in Electrical Engineering & Computer Science. UC Berkeley, 2015.
BS in Engineering Physics. UC Berkeley, 2015.
BA in Music. UC Berkeley, 2015.
Greer, Deo, and Trivedi. Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss. IEEE Robotics & Automation Letters, 2021.
Greer and Dubnov. Restoring Eye Contact to the Virtual Classroom with Machine Learning. 13th International Conference on Computer Supported Education, 2021.*
Rangesh, Greer, Deo, Gunaratne, and Trivedi. Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. 24th IEEE International Conference on Intelligent Transportation, 2021.
Rangesh, Deo, Greer, Gunaratne, and Trivedi. Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation. In Press, 2021.
Summer 2021 - UCSD CSE 190 "Machine Learning for Music & Audio"
Summer 2021 - UCSD COSMOS "Music & Technology"
Spring 2021 - UCSD ECE 285 "Autonomous Vehicles"
Winter 2021 - UCSD ECE 172A "Intelligent Systems"
Fall 2020 - UCSD CSE 253 "Digital Image Processing"
Summer 2020 - UCSD CSE 190 "Machine Learning for Music & Audio"
Invited Presentations & Guest Lectures
I have been invited to occasionally teach lectures for the courses I assist, and to give guest lectures for other courses or events. This is a list of some presentations I have recently given:
Introduction to Neural Networks
Exploring AWS DeepComposer
Restoring Nonverbal Communication to the Virtual Classroom with Machine Learning
Exploring Emotive Harmony
Teaching & Tutoring Services
If you would like to hire me as a teacher or tutor (individual, group, or class), please email me at firstname.lastname@example.org.
News & Media
My poster for Trajectory Prediction with a Novel Lane-Heading Auxiliary Loss won a Best Poster Award at the 2021 Jacobs Research Expo. Thank you Nachiket & Professor Trivedi for your guidance! Press Release
Our collaboration with Amazon's Machine Learning Solutions Lab was featured in an AWS blog post.
I spoke at the Winter 2021 Educational Innovation Expo @ UCSD.