Through the Georgia Tech Electronics and Micro-Systems Lab (GEMS), Dr. Wang leads explorations of integrated circuits and hybrid micro-systems to develop cutting-edge advances in these areas.  

The lab's research into wireless communications probes possibilities for moving beyond 5G and 6G communication and sensing as well as for developing ultra-reliable, low-latency communications, sensing, and hardware security. Some of these possibilities leverage assistance from artificial intelligence (AI) and machine learning (ML)-based models to improve RF/mm-wave circuits and systems.  

Dr. Wang and his team are also helping to improve health care research through advances in bioelectronics applications. The lab is investigating multimodal sensors/actuators and interface circuits for cellular and molecular screening, manipulation, point-of-care testing, and implantable devices. Other inquiries include hybrid biotic-abiotic systems, electronics-biology interfaces, and circuits/systems with beyond-silicon devices for extreme environments.  

Research Goals  

• RF/mm-wave integrated circuits and systems: Designing broadband and energy-efficient technologies for next-generation applications  
• Self-healing integrated systems: Developing innovations for communication, radar, and biosensing 
• Point-of-care sensing: Engineering handheld platforms for biomedical and environmental applications 
• Artificial intelligence: Leveraging AI for fast reconfiguration and autonomous adaptation of RF/mm-wave circuits and systems 
• Machine learning methods: Employing ML-based methods for rapid, end-to-end synthesis of electromagnetic structures and RF/mm-wave circuits 
• Multimodal biotechnologies: Exploring sensors/actuators and interface circuits for cellular and molecular screening, manipulation, point-of-care testing, and implantable devices 
• Beyond-silicon devices: Developing circuits and systems for extreme environments 

Activities  

• Sub-terahertz systems integration: Exploring technologies for spectroscopy and imaging 
• Fundamental noise modeling: Gathering critical data for use in high-precision measurements 
• Bio-electronic integration: Developing hybrid biotic-abiotic systems by integrating nanoelectronics and living biological components 
• Electronics-biology interfacing: Studying material properties, post-CMOS (complementary metal-oxide-semiconductor) processing, and microfluidics, and developing biocompatible packaging  

Leadership  

• Associate Professor, School of Electrical and Computer Engineering, Georgia Tech 
• Associate Editor, IEEE Microwave and Wireless Components Letters