معرفی
Vanessa Chen is an Assistant Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. She holds a Ph.D. from CMU (2013) and prior academic appointments at The Ohio State University and Qualcomm. Her research focuses on hardware security for IoT devices, analog/mixed-signal circuits, and ubiquitous sensing systems, with notable contributions in RF fingerprinting and machine learning integration. She leads the Energy-Efficient Circuits and Systems Lab and has received prestigious awards including the NSF CAREER Award (2019).
Education:
- Ph.D., Electrical and Computer Engineering, Carnegie Mellon University (2013)
- M.S., Electrical Engineering, National Tsing Hua University, Taiwan (2005)
- B.S., Electrical Engineering, National Tsing Hua University, Taiwan (2003)
Research Interests: Chen’s work spans secure analog/RF electronics, brain-machine interfaces, and energy-efficient data conversion systems. She pioneers methods to detect hardware Trojans via electromagnetic side-channels and designs lightweight, energy-efficient transceivers for IoT. Her projects integrate machine learning for real-time threat detection and system optimization.
Awards & Grants:
- NSF CAREER Award (2019)
- EAGER Grant for Real-Time Learning in Secure RF Electronics (2020)
- SpecEES Grant for Trusted Wireless Transceivers (2019)
Advising & Outreach: Collaborates with industry partners like Apple and Analog Devices. Develops educational initiatives integrating secure sensor design into undergraduate/graduate curricula. Her lab emphasizes interdisciplinary approaches to tackle emerging cybersecurity challenges in IoT and wireless systems.
