Hanxiang Zhang

The emergence of millimeter-wave 5G/NextG technology has driven significant interest in real-time analog signal processing, which offers compelling advantages over conventional digital approaches. Unlike digital techniques that depend on analog-to-digital converters (ADCs) and complex processing chains, analog systems enable analog computing for real-time signal manipulation directly in its native waveform, reducing latency, lowering power consumption, and minimizing reliance on high-speed ADCs. At the forefront of this paradigm is radio frequency (RF) analog signal processing - a method defined by directly manipulating signals in their pristine high-frequency waveforms. This approach unlocks critical capabilities for microwave and millimeter-wave applications, including bandwidth efficiency, ultrafast operations, and seamless integration with high-frequency systems.

In this presentation, our recent work will be discussed about real-time RF/analog signal processing through innovative microwave circuits and systems. It covers multiple applications on wireless high frequency front-end modules.

Biography:

Dr. Hanxiang Zhang is currently a postdoctoral scholar in the Department of Electrical and Computer Engineering at Florida A&M University - Florida State University (FAMU-FSU) joint College of Engineering, where he conducts academic research in RF/microwave and antenna lab. He received his M.S. degree at the University of Notre Dame, South Bend, IN in 2021, and his Ph.D. at Florida State University, Tallahassee, FL in 2025. His research interests include RF/microwave, mm-wave circuits and system design, RF/analog signal processing, beamforming phased array antenna with recent work on ultra-wideband RF beamforming transceiver system for 5G/NextG communications.