I am a current undergraduate at the University of California, Los Angeles, majoring in Computer Science. My experience spans software engineering research, robotics, web development, and financial technology.

The blend of systems, theoretical, and AI-focused coursework has equiped me with a strong foundation to tackle complex problems in software development and machine learning. I’ve completed upper-division courses in Algorithms (CS 180), Operating Systems (CS 111), and Programming Languages (CS 131), alongside applied machine learning in Data Mining (CS 145) and Natural Langauge Processing (CS 162). I’ve also built systems in Digital and Computer Architecture (CS M152A, CS M151B), supported by foundational training in Statistics (C&EE 110) and Microeconomics (Econ 11). In Software Construction (CS 35L), I developed proficiency in debugging, testing, and collaborative Git workflows, which directly informed my projects involving RESTful APIs, PostgreSQL, and full-stack frameworks I’ve built in real-world applications.

In addition, I am an researcher at the Structures-Computer Interaction Laboratory, advised by Prof. M. Khalid Jawed and Postdoctoral Researcher Tuan-Anh Vu. My current work focuses on multi-modal perception and 3D reconstruction, particularly involving thermal, NIR, and depth fusion for agricultural and robotic vision systems.

Previously, I’ve contributed to control systems research advised by Prof. Jenny Yu and MIT Lincoln Laboratory Engineer Christopher Lai at the BANSHEE UAV project (in collaboration with Lockheed Martin), where I developed autonomous visual tracking for VTOL platforms using ArUco marker detection and derivative-based control.

I have also held software engineering roles at Leidos, where I developed infrastructure tools for autonomous naval vessels, and at the Office of Naval Research, where I worked on real-time detection pipelines using RGB-D imaging and SLAM systems.

Research Interests

• Computer Vision: Object Detection, 3D Reconstruction
• Machine Learning: Domain Adaptation and Transfer Learning, Vision-Language Models, Reinforcement Learning

Selected Projects

	Hidden Fruit: A Multimodal Framework for Fruit Detection Harris Song Structures-Computer Lab - University of California, Los Angeles Project Page  |  Paper  |  Hidden Object Paper
	AI-Generated Text Detection with SVM and LoRA-Finetuned RoBERTa Harris Song, Marie Yang, Anish Pal, Aditya Patil Natural Language Processing Course - University of California, Los Angeles Paper
	EcoLens: Automated Trash Detection and Sorting Framework Harris Song, Oscar Chen, ‍Charles Liggins University of Pennsylvania Hackathon Source Code |  News Coverage
	Predicting DoorDash Delivery Time through Classical Machine Learning Harris Song, Abhinav Amanaganti, Ethan Maldonado, Afnan Khawaja Undergraduate Data Science Course - University of California, Los Angeles Paper

Publications

	Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting Gyusam Chang, Tuan-Anh Vu, Vivek Alumootil, Harris Song, Deanna Pham, Sangpil Kim, M. Khalid Jawed CVPR 2025 - 2nd Workshop on Neural Fields Beyond Conventional Cameras Paper
	Demonstration of wireless synchronisation methods in autonomously controlled fleet of drones Christopher Lai, Harris Song, Aaron Madrigal, Michael Youssef, Borick Lieng, Mohamed Hamida, Quyen Tran, Phu Ngo, Bethany Chang, Steven Dobbs, Zhen Yu International Journal of Mobile Network Design and Innovation Paper