About Me

---

My name is Xiangyu Wang, and I will be an incoming Assistant Professor in the Department of Electrical and Computer Engineering at the University of Alabama beginning in the fall of 2025. My research lies at the intersection of wireless systems, mobile computing, and the Internet of Things (IoT), with a particular emphasis on wireless sensing and indoor localization using deep learning and advanced signal processing techniques. I received my Ph.D. and M.S. in Electrical and Computer Engineering from Auburn University. Prior to joining the University of Alabama, I am a Postdoctoral Fellow and team leader at Auburn University’s RFID Lab, where I lead research collaborations with industry partners including Walmart, specializing in RFID-based sensing, mmWave localization, and AIoT systems. My work has resulted in over 25 publications in high-impact journals and conferences, with over 1000 citations.

Openings

---

I'm seeking highly motivated graduate (PhD/MS) students to join my research group. We work on real-world problems in smart environments, retail systems, autonomous robotics, and beyond. Students will have the opportunity to collaborate with industry partners, contribute to impactful publications, and develop innovative systems at the intersection of wireless communication and artificial intelligence.
If you are interested, please feel free to reach out to me at xwang220@ua.edu (Subject: PhD Application – Your Name)

Research Interests

---

My recent work explores mmWave and RFID sensing, and uncertainty-aware learning, with applications in smart environments, retail, and autonomous systems.

• Next-Generation Wireless Sensing
  Exploring advanced wireless sensing technologies, including mmWave, WiFi, and RFID, to enable high-precision, real-time perception in dynamic and complex environments.
• Intelligent Passive IoT Systems
  Designing and implementing smart, energy-efficient IoT systems using passive devices, integrating deep learning and signal processing for enhanced sensing and communication.
• Mobile Computing and Sensing
  Developing mobile computing frameworks that support robust, context-aware sensing and interaction for applications in smart environments and ubiquitous computing.