Zhenge Jia is currently a “Qilu Young Scholar” (齐鲁青年学者) Professor at School of Computer Science and Technology, Shandong University. He was also selected as a Young Expert of Taishan Scholars (泰山学者青年专家) of Shandong Province. Before joining SDU, he was a Postdoctoral Research Associate at University of Notre Dame from 2022 - 2024 (supervised by Prof. Yiyu Shi). He obtained his Ph.D. degree from University of Pittsburgh in 2022 (supervised by Prof. Jingtong Hu). He obtained his B.S. degree (Honors) in Advanced Computing from Australian National University in 2017 (supervised by Prof. Weifa Liang). His research interests are in embedded AI and personalized learning. His research outcomes:

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

News

• 2024/07     One paper is accepted by Nature Electronics (IF: 34.3).
• 2024/07     One paper is accepted by ECAI 2024 (CCF-B).
• 2024/06     Two papers are accepted by ICCAD 2024 (CCF-B).
• 2024/06     One paper is accepted by MICCAI 2024 (CCF-B).
• 2024/04     One paper is accepted by IEEE TCAD (CCF-A).
• 2024/02     One paper is accepted by DAC 2024 (CCF-A).
• 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     One paper is accepted by IEEE TCAD.
• 2023/05     One paper is accepted by Nature Machine Intelligence (IF: 25.9).
• 2023/04     One paper is accepted by Nature Machine Intelligence (IF: 25.9).
• 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     One paper is accepted by Nature Machine Intelligence (IF: 25.9).

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

Professional Service

Contest Organizing

• Chair of 1st Intelligent Embedded System Design Contest focusing on on-device learning design for Atrial Fibrillation detection.
• 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.

Program Committee 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) 2024
• Asia and South Pacific Design Automation Conference (ASP-DAC) Student Research Forum 2023

Selected Journal Review

• 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)