The Industrial Electronics Society would like to congratulate Giusy Iaria and Jiacheng Wang, the two recipients of the IES Student & Young Professionals Paper Assistance (IES-SYPA) session of the ISIE conference in June 2022.
Giusy and Jiacheng received their diploma and the public recognition they deserve for their papers, respectively entitled: “A novel SEU injection setup for Automotive SoC”; and “Impedance identification based on foreign object detection for wireless power transfer systems.”.
Learn a bit more about our two ISIE 2022 SYPA awardees
Giusy Iaria is a Ph.D. candidate in her first year in Computer and Control Engineering at Polytechnic of Turin, Italy. She is part of the CAD & Reliability research group with a strong focus on Embedded electronics testing. She took her Master’s Degree in Computer Engineering at Polytechnic of Turin in 2021. After a research fellowship on the reliability of safety-critical devices, she started her Ph.D. to find strategies and evaluation methods to reach ultra-reliability in Automotive Systems-on-Chip.
Project description: The world of embedded electronic systems is increasingly part of everyone’s daily life. Therefore, the production of chip and embedded systems is becoming more complex and massive in recent years. This aspect is also responsible for the continuous and rapid growth of abnormal system behaviors. The project aims to propose an automated setup that connects Functional Testing and Scan Technique, exploiting the versatility of the functional environment and the accuracy of Design-for-Testability to reduce the time needed for the evaluation of device SEUs effects. Preliminary experimental results show it is possible to inject a single SEU in milliseconds while keeping high accuracy.
Affiliation: Politecnico di Torino, Italy
To learn more about the paper “A novel SEU injection setup for Automotive SoC” by G. Iaria; T. Foscale; P. Bernardi; L. Presicce; M. Sonza Reorda; D. Appello; V. Tancorre;R. Ugioli:
- Check Giusy Iaria’s full paper at: https://ieeexplore.ieee.org/document/9831533
- Watch her three-minute speech: https://www.youtube.com/watch?v=iwJf-Y5RqZs&t=5s
Jiacheng Wang received his bachelor’s degree in electrical engineering from China University of Mining and Technology, Beijing in 2021. He is currently pursuing a master’s degree in electrical engineering at Zhejiang University. His research interests include power electronics, electromagnetic modeling, and wireless power transmission in different application scenarios, including mobile terminals, automobiles, and underwater robots.
Project description: Metal object detection can improve the safety and reliability of wireless charging systems. A foreign object detection (FOD) method using the impedance characteristics identified on the primary side of the wireless charging system is discussed. Taking the SS compensation network as an example, metric K1 is used to determine the presence of metal foreign objects and metric K2 which qualitatively reflects the impact of metal foreign objects on the wireless charging system is further designed. To convert the solution of high-order non-linear circuit equations into optimization problems, particle swarm optimization (PSO) algorithm is used to improve real-time performance and detection accuracy. In simulation, coins and metal plates are successfully detected and distinguished through proposed metrics, which verifies the feasibility of the method.
Affiliation: Zhejiang University, China
To learn more about the full paper “Impedance identification based on foreign object detection for wireless power transfer systems” by
- Check Jiacheng Wang’s full paper at: https://ieeexplore.ieee.org/document/9831611
- Watch his three-minute speech: https://www.youtube.com/watch?v=UbMgvrar4kY