Expertise and Research Interests
Security in Machine Learning/Artificial Intelligent Systems, Smart and Mobile Healthcare, Mobile Computing and Sensing
Yucheng Xie
Assistant Professor
Graduate Department of Computer Science and Engineering
Yucheng Xie, Ph.D.
yucheng.xie@yu.edu | 646-592-4763 | 205 Lexington Avenue, 7th FL, NYC
Yucheng Xie, an assistant professor in the Graduate Department of Computer Science and Engineering, aims to develop privacy-preserving smart healthcare solutions through machine learning to enhance daily experiences while addressing security challenges posed by IoT devices. Before joining the Katz School, Dr. Xie was a visiting assistant professor at Purdue University in Indianapolis.
He holds a Ph.D. in electrical and computer engineering from Purdue University and a master’s degree in computer science from Stevens Institute of Technology. He teaches Advanced Algorithms at Katz School of Science and Health.
Dr. Yucheng Xie, along with a team of computer scientists developed a new way to fight back. Their paper, “Vigilante Defender: A Vaccination-based Defense Against Backdoor Attacks on 3D Point Clouds Using Particle Swarm Optimization,” has been accepted to the prestigious IEEE 34th International Conference on Computer Communications and Networks (ICCCN).
Dr. Yucheng Xie and his team unveiled the DietWatch, a smart, low-effort way to monitor diet using a simple smartwatch at 2025 IEEE/ACM CHASE Conference.
Quotes
“The integrity of AI isn’t just a technical issue, it’s a public trust issue. People need to know that the systems making critical decisions are secure and reliable.”
“Technology shouldn’t get in the way of living your life,” he said. “It should quietly help you live it better.”
- Dr. Yucheng Xie
Recent Publications
- Exploring Cross-Environment modeling and Robustness in Palm-based User Authentication using mmWave Testbed - ACM/IEEE Symposium on Edge Computing
- DietWatch: Fine-grained and Robust Dietary Monitoring via Smartwatch in Real-World Scenarios IEEE
- DietWatch: Towards Low-effort Fine-grained Dietary Monitoring via Smartwatch in Open-World Scenarios ACM/IEEE International Conference on Connected Health
- Towards contactless human concentration monitoring using mmWave signals IEEE
- mmpalm: Unlocking ubiquitous user authentication through palm recognition with mmwave signals IEEE
- MU-ID: Multi-user identification through gaits using millimeter wave radios IEEE
- A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities IEEE
Teaching Experiences
- Advanced Algorithms, 2025 Spring, 2025 Fall, 2026 Spring
- Introduction to Programming, 2025 Spring, 2025 Fall
- Numerical Methods, 2024 Fall
- Capstone Projects, 2024 Fall, 2026 Spring
- Advanced Programming in IT, 2024 Spring
- Introduction to Cybersecurity, 2023 Fall
- Python Programming, 2024 Spring, 2023 Fall, 2023 Spring, 2022 Fall
Leadership and Organizing Roles
- Panelist for NSF Proposal Review
- Technical Program Chair, mHealth Security Workshop, co-located with IEEE/ACM CHASE 2026
- Technical Program Vice Chair, IEEE Healthcom 2026
- Technical Program Committee Member, IEEE ICCCN 2026
- Technical Program Committee Member, IEEE INFOCOM Workshop on Integrated Sensing and Communication on FutureG Wireless Technologies 2026
- Area Chair, IEEE International Conference on Multimedia Information Processing and Retrieval 2025
- Organizing Committee, IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies 2025
- Session Chair, IEEE International Conference on Distributed Computing Systems 2024
Honors and Awards
- Best Paper Runner-up, IEEE Conference on Communications and Network Security, 2024.
- Best Paper Runner-up, IEEE International Conference on Computer Communications and Networks, 2022.
- Best Paper Award, EAI International Conference on IoT Technologies for HealthCare, 2019.
Student Work
Innovative AI, Cyber, Data Research Takes Center Stage at Technology Showcase
Learn More
Innovative AI, Cyber, Data Research Takes Center Stage at Technology Showcase
Students in the Katz School’s Department of Graduate Computer Science and Engineering recently gathered to share projects they had spent months building, testing, improving and sometimes completely rethinking. The ideas on display—artificial intelligence, cybersecurity, data analysis and virtual reality—might have sounded complicated, but the energy behind them was easy to understand: this was a celebration of creativity and problem-solving.
AI Student Uses Radar and Language Models to Simulate Human Motion
Liu is helping teach machines to recognize human activities in a way that’s smarter, safer—and more private.
AI Student Uses Radar and Language Models to Simulate Human Motion
Chengyi Liu, a student in the M.S. in Artificial Intelligence, is helping teach machines to recognize human activities in a way that’s smarter, safer—and more private. At the Katz School’s Graduate Symposium on Science, Technology and Health, Liu presented his research on improving human activity recognition using millimeter wave (mmWave) radar and large language models, the AI engines behind tools like ChatGPT.
Innovation on Display at Graduate Computer Science Research Showcase
Learn More
Innovation on Display at Graduate Computer Science Research Showcase
The Katz School’s Graduate Department of Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.
Innovative AI, Cyber, Data Research Takes Center Stage at Technology Showcase
Learn More
Innovative AI, Cyber, Data Research Takes Center Stage at Technology Showcase
Students in the Katz School’s Department of Graduate Computer Science and Engineering recently gathered to share projects they had spent months building, testing, improving and sometimes completely rethinking. The ideas on display—artificial intelligence, cybersecurity, data analysis and virtual reality—might have sounded complicated, but the energy behind them was easy to understand: this was a celebration of creativity and problem-solving.
AI Student Uses Radar and Language Models to Simulate Human Motion
Liu is helping teach machines to recognize human activities in a way that’s smarter, safer—and more private.
AI Student Uses Radar and Language Models to Simulate Human Motion
Chengyi Liu, a student in the M.S. in Artificial Intelligence, is helping teach machines to recognize human activities in a way that’s smarter, safer—and more private. At the Katz School’s Graduate Symposium on Science, Technology and Health, Liu presented his research on improving human activity recognition using millimeter wave (mmWave) radar and large language models, the AI engines behind tools like ChatGPT.
Innovation on Display at Graduate Computer Science Research Showcase
Learn More
Innovation on Display at Graduate Computer Science Research Showcase
The Katz School’s Graduate Department of Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.
