I am a second-year Master's student (M.S. in CS '23) at the University of Maryland, College Park,
where I am advised by Prof. David W. Jacobs.
My primary research interest lies in Video Understanding & Spatiotemporal Analysis(e.g., Action Recognition, Video Anomaly Detection, Multispectral Satellite Imagery), and
my favorite areas of overlap with the topic include Vision-Language Analysis(e.g., CLIP, Video Captioning), Deep Generative Models(e.g., Subsequent Image/Video Generation), and Cognitive Science.
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 draw a sketch or appreciate artworks online or in person because observing a piece of art sometimes gives me an inspiration or an idea.
In addition, as a supporter of diversity, equity, and inclusion and as a believer in the power of peculiarity and unconventionalism, I like to take part in workshops or events promoting diversity as a hobby.
I am always open for invitation to be a guest speaker on diversity!
*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 Action Recognition and Video Anomaly Detection with Prof. Ngan Le
from the AICV Lab at the University of Arkansas and on Data Science and ML-based Scalable Optimization with Prof. Leilani Battle
from the Interactive Data Lab at the University of Washington.
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! :)
Here are seven other reasons I strongly prefer to be a Teaching TA for CMSC131:
1. Greatly improves my skills for oral presentation
2. Forms social connections with newcomers
3. Excellent memory refresher of Java
4. Enables self-evaluation of my communication skill
5. Student-evaluation of my skills at the end of sem
6. Builds up confidence as a speaker
7. Solid setting for practicing my leadership,
organization, and on-the-fly Q&A skills
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 ]