CV
This is a shortened form of my CV. Contact me if you would like my full CV.
Education
- Ph.D., in Computer Science, University of Utah (Current)
- Research Interest: AI/ML Security & Trustworthiness
- M.S. in Computer Science, University of Mississippi 2024
- Thesis: On Interence-Time Adversaries in Object Detection Models
- B.S. in Computer Science; Emphasis in Data Science, Minor in Mathematics; University of Mississippi, 2022
- Relevant Graduate-level Courses: Data Mining, Computer Architecture & Design, Compiler Design
Research Experience
- Fall 2024 - Current:
- Topics: Generative T2I model vulnerabilities
- Supervisor: Dr. Guanhong Tao
- Fall 2023 - Spring 2024:
- Topics: Inference-Time Targeted Adversarial Attacks for Object Detectors, Genetic Algorithm Optimization for Image Reconstruction Tasks
- Supervisor: Dr. Charles Walter
- Fall 2021 - Spring 2023:
- Topics: GPGPU Concurrent Priority Queue, Bellman-Ford-Based CPU and GPU Concurrent SSSP Algorithm, Pool-Based GPU Task Scheduler for Generationally Dependent Data
- Supervisor: Dr. Byunghyun Jang
- Fall 2020 - Spring 2022:
- Topics: Improving the BatAlloc Framework ML Model Preprocessing Pipeline and Accuracy
- Supervisor: Dr. Feng Wang
- Fall 2020 - Spring 2021:
- Topics: Evaluating effects of Flash-Lag Illusion in Humans in 3D VR space, Accuracy of AR Target Tracking through video conferencing software
- Supervisor: Dr. J Adam Jones
Teaching Experience
- Fall 2022 - Current: Graduate Teaching Assistant
- University of Mississippi
- Duties: Assist students, and grade programming assignments for various courses
- Supervisor: Dr. Kristin Davidson
- Summer 2023: Guest Lecturer
- University of Mississippi, HEROES Summer Research Program
- Supervisor: Dr. Byunghyun Jang
- Spring 2022: CS Lab Teaching Assistant
- University of Mississippi
- Supervisors: Dr. Kristin Davidson, Ms. Jennifer Vaughn
Awards
- Computer Science SAP Award
- Taylor Medal
- Deans Excellence Award
- Outstanding Student in Computer Science
- CoreLogic Family Award
- Academic Excellence Award
- Bledsoe Award