Hi, I'm Everett.
A little bit about me:
- Pursuing a B.S. in Computer Science & Applied Mathematics at San Diego State University (SDSU)
- Goal is to earn a PhD and pursue a career in applied robotics research
- Completed research projects at four different R1 research universities
- Published a paper on collaborative vehicle perception at IEEE EDGE 2025
- Founder & president of the SDSU ACM Chapter
News & Updates
Stay up to date with my latest professional milestones including employment, publications, awards, and leadership.
| Date | Event |
|---|---|
| 2025-07-31 | Presented a research poster, "From Chaos to Clarity: Strengthening 3D Collaborative Autonomous Vehicle Perception with Noise-Aware Training", at the Summer Undergraduate Research Showcase at Worcester Polytechnic Institute (WPI). |
| 2025-07-09 | Presented a research paper, "Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception", at IEEE EDGE 2025 in Helsinki, Finland. |
| 2025-05-28 | Began Research Assistantship at the NSF REU in Applied AI for Advanced Applications at Worcester Polytechnic Institute (WPI). |
| 2025-05-18 | Received the Certificate of Excellence Award in Advanced Programming Languages by the World Computing Organization (WCO). |
| 2025-05-15 | Paper accepted for publication at IEEE EDGE 2025. |
| 2025-05-01 | Elected as Interim Vice Chair of the SDSU Coalition of Tech Representatives and Leadership (CTRL). |
Research Projects
As an aspiring computer scientist, research is a key part of my academic and professional development. My research interests primarily revolve around intelligent robotics and computer vision.Hover your mouse over each thumbnail to learn more about the research project.
NSF REU in Applied Artificial Intelligence for Advanced Applications
Worcester Polytechnic Institute (WPI)
Modality-Aware Collaborative Perception for Autonomous Vehicles
Developed and analyzed a multimodal collaborative object detection algorithm integrating LiDAR-camera sensor fusion to enhance 3D perception in autonomous vehicles. Conducted robustness evaluations through targeted injection of Gaussian noise into 3D LiDAR point clouds, simulating sensor degradation due to low-resolution sensors and adverse weather conditions. Proposed and empirically validated a novel noise-aware training curriculum, achieving up to a 40% improvement in model robustness under challenging real-world scenarios. Resulting paper currently under review at MIT URTC 2025.
NSF REU in Interdisciplinary Artificial Intelligence
University of California San Diego (UCSD)
Evaluating Performance of the Nvidia MimicGen Imitation Learning Algorithm when Subjected to Gaussian Noise
Conducted experiments on the impact of Gaussian noise injection in robotic imitation learning models. Optimized a sigmoid approximation curve relating noise amplitude to performance, yielding statistically significant R^2 values between 0.91 and 0.99. Used Pandas, NumPy, MatPlotLib, and SciPy for data analysis and optimization. Used MuJoCo, RoboSuite, RoboMimic, and MimicGen for robotic simulation and imitation learning
NSF REU in Sustainable Resilient Transportation Systems
University of Delaware (UD)
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception
At the NSF REU, I developed and tested an interdisciplinary framework to improve autonomous vehicle object labeling accuracy by combining multiple vehicles' perspectives via an edge server. I accomplished this by developing two algorithms, called Perceptive Aggregation and Collaborative Estimation (PACE) and Variable Object Tally and Evaluation (VOTE). I presented a poster at the University of Delaware Undergraduate Research Symposium in August 2024, and presented my work at the IEEE EDGE conference in Helsinki, Finland in July 2025.
Data-informed Construction Engineering (DiCE) Laboratory
San Diego State University (SDSU)
Enhancing Construction Worker Safety Through Sensor Fusion and Machine Learning
At the DiCE Lab, I designed a data analytics program that fuses IMU sensors and camera input to classify and predict the movements of construction workers. I also developed a 3D simulation to visualize IMU data in real-time, allowing for the data to be validated.
Leadership Roles
President of the ACM @ SDSU
Founder of the Association for Computing Machinery (ACM) Student Chapter. Lead workshops, organize tech talks, and expanded membership engagement. Planned, implemented, and judged projects for the 2025 Innovate 4 SDSU Hackathon.
Associated Students Representative
Represented College of Sciences students on the University Council. Advocated for sustainability and STEM research funding. Serve as an Executive Officer on the College of Sciences Student Council.
Math & Computer Science Tutoring
Served as a tutor at the Math and Science Learning Center (MSLC), and an Instructional Assistant for Discrete Mathematics. Tutored physics, computer science, probability, linear algebra, and real analysis.
Skills & Experience
I have a wide range of technical skills and experience that I have developed through my academic and research projects.
Technical Skills
Professional Skills
Contact Me
Feel free to reach out through any of the following methods.
