About me
Hello! My name is Hollen (Haoran) Zhang, I am currently a PhD student of Computer Engineering at Watson Research Lab in the University of Virginia, proudly advised by Professor Amanda Watson. My current research focuses on machine learning for healthcare, particularly on wearable monitoring systems. I am also interested in ubiquitous computing and multimodal deep learning.
Education
Ph.D. in Computer Engineering
Main Courses: Computer Architecture, AI Hardware, Computer Engineering Perspectives, Human-Computer Interaction
Research Focus: Machine learning for real-time biomarker detection and wearable monitoring systems
Master of Science in Computer Science
Main Courses: Algorithms, NLP, Artificial Neural Networks, Probabilistic Machine Learning, Data Science, Computer Vision, Graph-Matrix Analysis, Cryo-EM Image Analysis
Projects: OpenOOD Benchmark, Fetus Brain MRI Motion Correction, Adversarial Knowledge Distillation
Bachelor of Science in Information Systems
Main Courses: Algorithms and Analysis, Artificial Intelligence, Information Systems Security, Database Design, Mobile App Development, Web Development, Web Analytics, IoT Management
Recent Projects
OpenSpectro: An Open-Source Spectroscopic Profile Platform
OpenSpectro is a modular, open-source platform designed to acquire and analyze spectroscopic data. It provides researchers with affordable, customizable tools for spectroscopy experiments.
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A Multi-Wavelength Optical Sensing Framework for Calibration-Free Wearable Blood Pressure Monitoring
A deep learning framework to correct motion artifacts in fetal brain MRI scans, improving diagnostic image quality and supporting prenatal healthcare.
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OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
A deep learning framework to correct motion artifacts in fetal brain MRI scans, improving diagnostic image quality and supporting prenatal healthcare.
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