Zhenge Jia is a Postdoctoral Research Associate at University of Notre Dame under the supervision of professor Yiyu Shi. He obtained his Ph.D. degrees from University of Pittsburgh in August 2022 under the supervision of professor Jingtong Hu. He obtained his B.S. degree (Honors) in Advanced Computing from Australian National University in December 2017 under the supervision of professor Weifa Liang. His research interests include personalized deep learning in healthcare, e.g., patient-specific arrhythmia detection, and on-device deep learning in healthcare, e.g., on-device personalized deep learning based healthcare system. His research outcomes:

• Personalized Deep Learning [ICCAD’20, IJCAI’21, TCAD’22, TCAD’24]
• On-Device Machine Learning [DAC’21, ESWEEK’21, NMI’22, NMI’23, NMI’23, TCAD’23, DAC’24].

News

• 2024/04     “Personalized Meta-Federated Learning for IoT-Enabled Health Monitoring” is accepted by IEEE TCAD.
• 2024/02     “Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis” is accepted by DAC 2024.
• 2023/11     2nd IEEE/ACM TinyML Contest has been successfully concluded! Congratulation to all winning teams! Results and code can be accessed here.
• 2023/10     Proposal on Personalized On-Device Federated Learning is funded by Indiana CTSI.
• 2023/09     2nd Place in Fair and Intelligent Emebdded System Design Contest at ESWEEK’23.
• 2023/08     “TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection” is accepted by IEEE TCAD.
• 2023/05     “The Importance of Resource Awareness in Artificial Intelligence for Healthcare” is accepted by Nature Machine Intelligence.
• 2023/04     “Life-Threatening Ventricular Arrhythmia Detection Challenge in Implantable Cardioverter Defibrillators” is accepted by Nature Machine Intelligence.
• 2022/11     1st IEEE/ACM TinyML Contest has been successfully concluded! Congratulation to all winning teams! Results and slides can be accessed here.
• 2022/10     “Low Power Object Detection Challenge on UAV” is accepted by Nature Machine Intelligence.
• 2022/08     Join Sustainable Computing Laboratory (SCL) at University of Notre Dame.
• 2022/08     Obtain Ph.D. degree from University of Pittsburgh.
• 2022/07     Launch 1st IEEE/ACM TinyML Contest.

Activities

• Co-Chair of 2st IEEE/ACM TinyML Contest.
• Chair of 1st IEEE/ACM TinyML Contest focusing on TinyML design for life-threatening ventricular arrhythmia detection.

Journal Review Services

• IEEE Transactions on Computers (TC)
• IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• Nature Scientific Reports
• Journal of Emerging Technologies in Computing Systems (JETC)
• IEEE Transactions on Circuits and Systems I (TCAS-I)
• IEEE Transactions on Circuits and Systems II (TCAS-II)
• IEEE Embedded Systems Letters (ESL)
• IEEE Access
• ACM Transactions on Cyber-Physical Systems (TCPS)

TPC Member

• International Conference on Computer-Aided Design (ICCAD) 2023, 2024
• European Conference on Artificial Intelligence (ECAI) 2024
• Asia and South Pacific Design Automation Conference (ASP-DAC) Student Research Forum 2023

Awards

• 2nd Place in Fair and Intelligent Emebdded System Design Contest at ESWEEK, 2023
• 2nd Place Award in Ph.D. Forum at DAC, 2023 [Poster] [Abstract]
• IJCAI Student Grant, 2021
• Young student fellow award, Design Automation Conference(DAC), 2021, USA
• Young student fellow award, Design Automation Conference(DAC), 2020, USA

Teaching (as Teaching Assistant)

• ECE 0142 Computer Organization, Spring 2018
• ECE 0132 Digital Logic, Fall 2018
• ECE 0501 Digital Logic Laboratory, Spring 2019
• CoE 1502 Advanced Digital Design Concepts, Fall 2019