Curriculum Vitae
🎓 Education
Ph.D. in Civil and Environmental Engineering
• Focus: Intelligent Transportation Systems, Autonomous Driving, AI for Smart Mobility
• Advisor: Prof. [Advisor Name]
• GPA: 4.0/4.0
• Advisor: Prof. [Advisor Name]
• GPA: 4.0/4.0
M.S. in Computer Science
• Specialization: Machine Learning, Deep Learning, Computer Vision
• Thesis: "Advanced Methods for Trajectory Prediction in Urban Environments"
• GPA: 3.7/4.0
• Thesis: "Advanced Methods for Trajectory Prediction in Urban Environments"
• GPA: 3.7/4.0
B.E. in Computer Science and Engineering
• Summa Cum Laude (Top 5%)
• Senior Project: YOLOv5-based Mask Detection System
• GPA: 3.5/4.0
• Senior Project: YOLOv5-based Mask Detection System
• GPA: 3.5/4.0
💼 Research Experience
Graduate Research Assistant
• Leading research on intersection safety systems for autonomous vehicles
• Developed AI algorithms that secured $750k U.S.DOT funding
• Published papers on trajectory prediction and semantic trajectory mining
• Mentoring undergraduate researchers in machine learning projects
• Developed AI algorithms that secured $750k U.S.DOT funding
• Published papers on trajectory prediction and semantic trajectory mining
• Mentoring undergraduate researchers in machine learning projects
Research Intern
• Worked on large-scale recommendation systems and content understanding
• Implemented deep learning models for user behavior prediction
• Collaborated with cross-functional teams on production ML systems
• Optimized model performance for real-time applications
• Implemented deep learning models for user behavior prediction
• Collaborated with cross-functional teams on production ML systems
• Optimized model performance for real-time applications
Undergraduate Research Assistant
• Developed computer vision applications for COVID-19 safety compliance
• Implemented object detection algorithms using YOLOv5
• Contributed to research on knowledge-graph constrained text generation
• Received Outstanding Research Award
• Implemented object detection algorithms using YOLOv5
• Contributed to research on knowledge-graph constrained text generation
• Received Outstanding Research Award
🏆 Honors and Awards
• 2025: Tier 1 Winner, U.S. DOT Intersection Safety Challenge ($750k award)
• 2024: Best Paper Award, IEEE ITSC 2024
• 2024: Graduate Research Fellowship, UCLA
• 2022: Summa Cum Laude, UC Davis (Top 5%)
• 2021: Dean's List, UC Davis (Multiple Terms)
• 2020: Outstanding Research Award, UC Davis Computer Science Department
• 2024: Best Paper Award, IEEE ITSC 2024
• 2024: Graduate Research Fellowship, UCLA
• 2022: Summa Cum Laude, UC Davis (Top 5%)
• 2021: Dean's List, UC Davis (Multiple Terms)
• 2020: Outstanding Research Award, UC Davis Computer Science Department
🛠️ Technical Skills
Programming Languages: Python, C++, Java, JavaScript, R, MATLAB, SQL
Machine Learning: PyTorch, TensorFlow, Keras, scikit-learn, OpenCV
Big Data & Cloud: AWS, Google Cloud, Apache Spark, Hadoop, Docker
Web Technologies: React, Node.js, Flask, Django, HTML/CSS
Tools & Platforms: Git, Linux, Jupyter, VS Code, LaTeX, SUMO, CARLA
Databases: MySQL, MongoDB, PostgreSQL, Redis
Machine Learning: PyTorch, TensorFlow, Keras, scikit-learn, OpenCV
Big Data & Cloud: AWS, Google Cloud, Apache Spark, Hadoop, Docker
Web Technologies: React, Node.js, Flask, Django, HTML/CSS
Tools & Platforms: Git, Linux, Jupyter, VS Code, LaTeX, SUMO, CARLA
Databases: MySQL, MongoDB, PostgreSQL, Redis
📝 Publications
🎤 Talks and Presentations
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
👨🏫 Teaching Experience
🤝 Professional Service
Conference Reviewer:
• IEEE Intelligent Transportation Systems Conference (ITSC) 2024-2025
• Transportation Research Board (TRB) Annual Meeting 2025
• IEEE International Conference on Big Data 2024
• IEEE Intelligent Transportation Systems Conference (ITSC) 2024-2025
• Transportation Research Board (TRB) Annual Meeting 2025
• IEEE International Conference on Big Data 2024
Journal Reviewer:
• IEEE Transactions on Intelligent Transportation Systems
• Transportation Research Part C: Emerging Technologies
• IEEE Transactions on Intelligent Transportation Systems
• Transportation Research Part C: Emerging Technologies
Professional Memberships:
• IEEE Member
• Transportation Research Board (TRB) Member
• Association for Computing Machinery (ACM) Member
• IEEE Member
• Transportation Research Board (TRB) Member
• Association for Computing Machinery (ACM) Member
🌐 Languages
• English: Native/Fluent
• Mandarin Chinese: Native
• Spanish: Conversational
• Mandarin Chinese: Native
• Spanish: Conversational
Last updated: January 2025