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About

As an Electrical & Computer Engineering PhD student at UC San Diego, I use computer vision & artificial intelligence to create systems for effective, safe, and ethical human use. The research topics I am interested in are Computer Vision, Robotics, Artificial Intelligence, and Human-Robot / Human-Computer Interaction. My research focuses on improving deep learning models by defining new metrics and feature representations. I use my research to predict vehicle trajectories in real-world driving scenarios, estimate driver state, and understand human gaze. I work on projects with Professor Mohan Trivedi's Laboratory for Intelligent & Safe Vehicles (LISA) and Professor Shlomo Dubnov's Center for Research in Entertainment & Learning (CREL). I am advised by Professor Mohan Trivedi.

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.


In the process of developing safer models for intelligent vehicles, my interests in HRI/HCI and vision have inspired my research developments in gaze and attention modeling and tracking in domains outside of automobiles. This includes virtual classrooms, teleconferences, and musicians' environments. My work seeks to better perceive & present nonverbal human communication, in the form of eye gaze and directed gesture; two immediate problems driving my work are gaze prediction and gaze correction using deep learning.

I love to create music, and I feel lucky to combine two of my passions in part of my research & teaching. Outside of my academic work, I advise the Symphonic Student Association, and field direct & write music for the University of California Marching Band.

Education

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.

Research Interests

I use computer vision & artificial intelligence to create systems that help keep people safe and provide new capabilities. The research topics I am interested in are Computer Vision, Artificial Intelligence, and Human-Robot / Human-Computer Interaction. My research focuses on improving deep learning models by defining new metrics, losses, and feature representations. I use my research to understand human gaze, estimate driver state, and predict vehicle trajectories in real-world driving scenarios.

I work on projects with Professor Mohan Trivedi's Laboratory for Intelligent & Safe Vehicles (LISA) and Professor Shlomo Dubnov's Center for Research in Entertainment & Learning (CREL). I am advised by Professor Mohan Trivedi.

Publications

2021

  • 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.


*Work supported by University of California Office of the President Innovative Learning Technology Initiative Grant.

Teaching

Teaching Assistant

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

  • Convolutional Architectures

  • Exploring AWS DeepComposer

  • Restoring Nonverbal Communication to the Virtual Classroom with Machine Learning

  • A.I.xMusic

  • 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 rossgreertutoring@gmail.com.

News & Media

CV

Current CV available by email (regreer@ucsd.edu).

Music

I love to create music, and I feel very lucky to be in a field where I can combine my research & teaching with music.

I advise UCSD's Symphonic Student Association, and field direct & write music for the University of California Marching Band. I also currently serve as the Performance Chair of the California Band Alumni Association and director of the Cal Alumni Band.

Some of my most memorable musicking:




I'm always looking for more musical opportunities, from traditional to technological -- please reach out any time to connect!