
معرفی
Dr. Xiao Zhang is an Assistant Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn's College of Engineering and Computer Science. He leads the Trustworthy AIoT Lab (TAI Lab) and advises the Immersive Computing Club. Previously, he was a Postdoctoral Associate at Duke University and holds a Ph.D. from Michigan State University, M.S. from Northwestern Polytechnical University, and B.E. from Taiyuan University of Technology.
Education:
- Ph.D. in Computer Science and Engineering - Michigan State University
- M.S. - Northwestern Polytechnical University
- B.E. with Honors - Taiyuan University of Technology
Dr. Zhang's research focuses on next-generation wireless systems with emphasis on mobile computing, AIoT, cyber-physical systems, and AI-assisted sensing/localization. His work explores spatial-temporal diversities in Optical Wireless Communication (OWC) to enable secure, location-aware communication for IoT and human-centered computing. Applications include LiFi, V2X networks, underwater navigation, digital health, smart cities, HCI, and AR/VR.
Recent publications demonstrate a strong focus on optical communication systems (OWC, LiFi), drone technology, IoT security, and AI-assisted sensing. Trends include innovations in 3D optical connections, adversarial defense for audio systems, radar-based point cloud generation, and federated learning solutions for heterogeneous IoT environments.
Awards & Grants:
- 2025: IHP Research Engagement, OE Review/Creation Grants, Creative Teaching Fund
- 2024: NSF I-Corps, RAG Grant
- 2023: Dissertation Fellowship (MSU)
- 2022: Travel Fellowship (MSU)
- 2019-2023: Multiple Graduate Fellowships
- 2016-2018: Postgraduate Scholarships
- 2013-2015: National/University Scholarships
Dr. Zhang advises 10+ students across multiple levels including PhD candidate Deniz Acikbas, MS students Ashwin Sarvadey, Jaskirat Sudan, Rohit Raval, and Nishaant Madhankumar, and undergraduate researchers including NSF STEM Scholars Christian Nwobu, Fatima Qasem, and Fatima Mohammed. His TAI Lab focuses on trustworthy AI-driven IoT systems.



