I am a second-year Master's student (M.S.) at the University of Maryland, College Park,
where I work as a research assistant on projects primarily concerning computer vision and deep learning with my advisor Prof. David W. Jacobs.
I am particularly interested in the areas of Video & Motion Understanding, Anomaly Detection, Temporal & Time-Series Analysis, Cognitive Science, and Remote Sensing.
I received a B.S. from the University of Maryland, College Park, in May 2021, where I majored in Computer Science with specialization in Machine Learning and minored in Technology Entrepreneurship.
Outside of research, I like to appreciate artworks because pondering about a piece of art sometimes gives me an inspiration or an idea.
In addition, as a supporter of diversity and inclusion and a believer in the power of peculiarity, I like to participate in workshops or events promoting diversity as a hobby.
*I am currently looking for a Ph.D. position starting in Fall 2023!*
Previously, I have been fortunate enough to have opportunities to conduct research on Object Detection and Object Tracking with Dr. Mohammad Nayeem Teli from the University of Maryland,
and on Data Science and Data Visualization with Dr. Leilani Battle
from UWashington Interactive Data Lab (IDL), focusing on the ML-based scalable optimization aspect of projects.
In addition, I have conducted research on Temporal Action Proposal Generation and Video Anomaly Detection as an
affiliate research assistant with Dr. Ngan Le
from AICV Lab based in the University of Arkansas.
We propose a system that takes declarative specifications to automatically offload computation-intensive processing to a separate DBMS by optimizing visualization plans through machine learning techniques. In this project, I was primarily in charge of scalable optimization aspect of the project.
[ Note: This is an REU project that I worked on with Dr. Battle and Dr. Moritz in Summer 2021. Keep an eye out for the extended version of the work, to be done and submitted in Fall 2022! ]
The human perceives the establishment of an action in a video through the interaction between an actor and the surrounding environment.
We borrow the idea in producing the proposed Actor-Environment Interaction network.
After partnering with the National Action Council for Minorities in Engineering and Google, the College of Engineering at the University of Arkansas is hosting the Google Applied Machine Learning Intensive Bootcamp for 10 weeks over the summer to introduce undergraduate (URM-focused) college students to applied machine learning concepts.
Knowledge is meant to be shared! I enjoy interacting with people and sharing my knowledge with others! Oftentimes, I serve as a guest speaker, too, at academic clubs, dicussing my research, industry, and academic backgrounds with fellow students! :)
Technology & Engineering Entrepreneurship TA @ UMD
Entrepreneurial Opportunity Analysis and Decision-Making in Technology Ventures (ENES210) Instructor: Dr. James Green Spring 2021 Marketing High-Technology Products and Innovations (ENES462) Instructor: Lecturer Michael Pratt Spring 2021 Leading and Financing the Technology Venture (ENES466) Instructor: Lecturer Michael Pratt Spring 2021
Undergraduate Internship Experience
Amazon Devices Denver, CO (Remote Internship) Summer 2020
Amazon Web Services (AWS) Herndon, VA Summer 2019
(It's not a typical soda!)
My Erdös number is 3
[ Erdös - Michael Stonebraker - Leilani Battle - Me ]