2023

• Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, and Mohan M. Trivedi, "Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations," IEEE Intelligent Vehicles Symposium (IV), 2023.

• Ross Greer, Lulua Rakla, Samveed Desai, Akshay Gopalkrishnan, Afnan Alofi, and Mohan M. Trivedi, "Pedestrian Advisories for Enhanced Safety Using Behavior Maps: Computational Framework and Experimental Analysis With Real-World Data," IEEE Intelligent Vehicles Symposium (IV), 2023.

• Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, and Mohan M. Trivedi, "Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction," 27th Enhanced Safety of Vehicles Conference, 2023. 

• Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, and Mohan M. Trivedi, "Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context," 27th Enhanced Safety of Vehicles Conference, 2023. 

• Ross Greer, Lulua Rakla, Samveed Desai, Afnan Alofi, Akshay Gopalkrishnan, and Mohan M. Trivedi, "CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems," 27th Enhanced Safety of Vehicles Conference, SSTDC Semi-Finalist, 2023. 

• Ross Greer, Lulua Rakla, Anish Gopalan, and Mohan M. Trivedi, "(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework," 27th Enhanced Safety of Vehicles Conference, SSTDC Finalist, 2023. 

2022

• Ross Greer and Mohan M. Trivedi, "From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm, Analysis and Evaluations on Diverse Datasets," ICML Workshop on Supervised Learning for Autonomous Driving, 2022.

• Maitrayee Keskar, Nachiket Deo, Ross Greer, and Mohan M. Trivedi, "A Center-Based Integrated Vehicle Internal and Landmarks Detector," Presentation at IEEE IV ITSIVUE Workshop, 2022.

• Greer and Trivedi. "From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets," Accepted at Presented at IEEE IV 2nd Workshop on Prediction of Pedestrian Behaviors for Automated Driving, 2022. 

• Greer, Isa, Deo, Rangesh, and Trivedi. "On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset," WACV, Workshop on Hazard Perception in Intelligent Vehicles, 2022.

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. 

• 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.

• My 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.  Thank you to collaborators Lulua Rakla, Akshay Gopalkrishnan, Anish Gopalan, and Professor Trivedi.  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 Polygence blog post High School Computer Science Research: The Complete Guide from “Hello, World!” to the Real World has climbed the ranks of Google Search!

• 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.  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. 

• 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. 

University

Course Designer

UCSD ECE 172A "Intelligent Systems" (Winter 2023)

Teaching Assistant

UCSD ECE 180 "Autonomous Driving in the Real-World" (Spring 2022)

UCSD ECE 285 "Autonomous Vehicles" (Spring 2021, 2022)

UCSD ECE 172A "Intelligent Systems" (Winter 2021, 2022)

UCSD ECE 253 "Digital Image Processing" (Fall 2020, 2021)

UCSD CSE 190 "Machine Learning for Music & Audio" (Summer 2020, 2021, 2022, 2023)

Additional Teaching

Polygence Pods "Thinking about Language through ChatGPT" (Spring 2023)

UCSD COSMOS "Music & Technology" (Summer 2021)

Teaching, Research Mentorship & Tutoring Services

If you are looking for a teacher, research mentor, or tutor (individual, group, or class), please email me at rossgreertutoring@gmail.com. 

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

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.    

Outside of my research, I advise the Symphonic Student Association, and field direct & write music for the University of California Marching Band.