Group photo at the ceremony of 2025 Dean's Early Career Faculty Fellows (September 19th, 2025)
Faculty
Vanessa Chen (Senior Member, IEEE) earned her Ph.D. in electrical and computer engineering from Carnegie Mellon University in 2013.
Before joining Carnegie Mellon University, she was affiliated with The Ohio State University. During her doctoral studies at Carnegie Mellon from 2010 to 2013, she conducted research on algorithm-assisted approaches for improving energy efficiency and ultra-high-speed ADCs with on-chip real-time calibration, and interned at IBM T. J. Watson Research Center in 2012. Prior to academia, she held positions as a circuit designer at Qualcomm in San Diego and Realtek, Hsinchu, Taiwan, focusing on self-healing RF/Mixed-signal circuits. Her research focuses on AI-enhanced circuits and systems, which include intelligent sensory interfaces, RF/mixed-signal hardware security, and ubiquitous sensing and computing systems.
Dr. Chen has received the CMU College of Engineering Dean’s Early Career Fellowship in 2025 and the NSF CAREER award in 2019. She has been involved in various technical program committees, including the IEEE International Solid-State Circuits Conference (ISSCC), the IEEE Symposium on VLSI Circuits, the IEEE Custom Integrated Circuits Conference (CICC), the IEEE Asian Solid-State Circuits Conference (A-SSCC), and the IEEE/ACM Design Automation Conference (DAC). She also has served as an Associate Editor for several IEEE journals, including IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), IEEE Open Journal of Circuits and Systems (OJCAS). Additionally, she has contributed as a Guest Editor for the IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II) and the ACM Journal on Emerging Technologies in Computing Systems (JETC). She is currently an IEEE SSCS Distinguished Lecturer in 2025/2026.
Research Scientists
Yi-Chung (Ethan) Chen joined the EECS Lab as a research scientist. His research interests include neuromorphic computing for neural networks and biomedical interfaces.
Yuyi Shen received the B.S. and Ph.D degrees in Electrical and Computer Engineering from Carnegie Mellon University in 2020 and 2024, respectively. She held an internship position at Apple Inc. in 2020, and is primarily interested in RFIC design with a focus on the application of RF circuits to security and device identification. She is a recipient of the ISSCC Analog Devices Outstanding Student Designer Award in 2021, the Ben Cook Graduate Fellowship in 2022, and the Nicholas Minnici (E ’59) Dean’s Graduate Fellowship in 2024.
Graduate Students
Junting Deng received an M.S. degree in Interdisciplinary Information Studies from The University of Tokyo in 2022 and a B.S. in Communication Engineering from University of Electronic Science and Technology of China in 2020. She is currently working toward the Ph.D. degree at Carnegie Mellon University, with interests in machine learning algorithms, self-healing systems design, and signal processing for wireless applications. She is a recipient of the ISSCC Analog Devices Outstanding Student Designer Award and the Liang Ji-Dian Graduate Fellowship in 2025.
Chengyu Fan received the B.S. degree in Electrical and Computer Engineering from University of Illinois Urbana Champaign in 2021 and M.S. degree in Electrical Engineering from Carnegie Mellon University in 2022, and is working toward the Ph.D. degree in the EECS lab at Carnegie Mellon University. He is interested in RFIC design with a focus on the application of high frequency communication. He is a recipient of the ISSCC Analog Devices Outstanding Student Designer Award in 2024.
Hyoungjun Kim received his B.S. and M.S. degrees in Electrical and Computer Engineering from Sungkyunkwan University, Seoul, Korea. He worked as a circuit design engineer on the DRAM design team at Samsung Electronics. He is currently a Ph.D. student in the EECS lab at Carnegie Mellon University. His research interests include computational sensors and energy-efficient circuits.
Jihwan Kim received the B.S. degree in Bio-Mechatronic Engineering and Electronic and Electrical Engineering (dual degree) in 2023, and the M.S. degree in Electrical and Computer Engineering in 2025, both from Sungkyunkwan University, Republic of Korea. From 2024 to 2025, he was a research scholar and research engineer with Hyundai Motor Company, focusing on vehicle security. In 2020, he held an internship position with the Advanced Sensor Development Team, System LSI Division, Samsung Electronics, where he assisted in developing software stacks for image and biosensors. Mr. Kim is a recipient of the NIIED Ph.D. Fellowship from the Korean Government, the Hyundai Motor Research Fellowship, the Surim Foundation Award, and the ICT Colloquium Award from the Korean Ministry of Science and ICT. He is currently pursuing the Ph.D. degree in Electrical and Computer Engineering at Carnegie Mellon University, Pittsburgh, PA, USA, as a member of the EECS Laboratory. His research interests include sensor intelligence, hardware–software co-design, and heterogeneous integration.
Vicky Zou is an ECE IMB student at CMU with a passion for analog and RF engineering. She has experience in analog and RF IC design and circuit simulation and is currently working on antenna characterization.
Jason Lee is an IMB student pursuing M.S. in Electrical and Computer Engineering. His interests include Analog and RFIC design.
Kevin Lai received his Bachelor’s degree in Electrical Engineering and Computer Science from National Tsing Hua University (NTHU), Taiwan, and he is currently pursuing his graduate studies at the College of Semiconductor Research, NTHU. His academic and research interests lie in analog circuit design. He has hands-on experience in designing high-PSR LDO, SAR-ADCs, type-I PLL, and VCO, including both ring and LC-tank topologies.
Fu-Qun Huang is a graduate student at National Yang Ming Chiao Tung University, specializing in RF integrated circuit design. His research includes RFICs and mixed-signal circuits, and he is currently a Research Associate at Carnegie Mellon University, working on the D-band radar project.
Undergraduate Students
Chun-Yun (Betty) Cheng is a third-year student at National Taiwan University. She is interested in digital circuit design and quantum design automation. She has designed a circuit to accelerate cryptographic systems, and she is currently developing an ASIC for gesture classification. She loves designing hardware to solve real-world problems and hope to keep exploring this space through research and collaboration.
Ilo Chen is a third year undergraduate studying electrical engineering at National Taiwan University. His interests lie in digital IC design for accelerating ML models. He has experience with ML, RL, FPGA programming, and ASIC design. He is currently studying low-power circuit designs for edge applications.
Alumni
Dr. Jiachen Xu, Thesis title: Embedded Machine Learning for Secure and Efficient Circuits and Systems, currently at Apple Inc.
Dr. Yuyi Shen, Thesis title: Self-Healing Power Amplifiers for Wireless Security and Extreme Environments, currently at CMU EECS lab
John Kan, currently at Analog Devices Inc.
Chia Jen Cheng, currently at CMU
Jonghyun Kim, currently at CMU
Wahib Abib, currently at Nvidia
Brandon Pan, currently at Apple Inc.
Korene Tu, currently at Boeing
William Wang, currently at Yale
Miya Higuchi, currently at Analog Devices Inc.
Mason Xiao, currently at Jane Street
Xinran Yang, currently at UCLA
Nancy Anderson, currently at CMU
Jinho Yi, currently at CMU CSD
Sarah Yang, currently at Google Inc.
Dylan Rosser, currently at NXP Semiconductors
Abhinaya Murali, currently at Maxim Integrated
Ryan Quinlan, currently at Draper
Janabelle Wu, currently at Nvidia
Weilun Chen, currently at Synopsys
Mengyao Zhao, currently at Micron
Pankaj Kumar, currently at Texas Instruments
Jack J.-C. Hsueh, currently at MediaTek
Mackenzie Kondas, OSU undergraduate research project
For Post-Doctoral Scholars
For qualified applicants holding a PhD in the related research field, a postdoctoral appointment is possible. For additional details/questions, please contact Prof. Chen and be sure to provide your CV and a list of references.
For Prospective PhD Students
We are actively looking for highly-motivated PhD students. If you are applying to CMU for a PhD in ECE and finding our work interesting, please send Prof. Chen an email along with your CV and transcripts. Prior experience in algorithms or mixed-signal/RF/digital circuit design is preferred, but not necessary. Please include the words “prospective student” in the subject line. Due to high volume of emails, we may not be able to respond to each inquiry.
For BS Students Interested in Research Projects
EECS lab actively engages CMU BS students in research projects. These research projects could be greatly enhance the student’s employment prospects. If you are interested in our research and would like to participate in a research project, please send an email to Prof. Chen with your CV attached. Please also include a list of courses taken at CMU as well as the grades obtained in them.













