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The 34th HSN 2024 HSN »õ·Î¿î½ÃÀÛ:
Hyper_converged Services and iNfrastructures
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The 34th HSN 2024 HSN »õ·Î¿î½ÃÀÛ:
Hyper_converged Services and iNfrastructures
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Session#A4 : Next-Generation Mobile/Wearable ÁÂÀå : ±è¼º¹Î ±³¼ö/KAIST
¹ßÇ¥Á¦¸ñ : The world's Smallest Computer for the Next-generation Sensing
¹ßÇ¥ÀÚ : ÀÌÀÎÈñ À̸ÞÀÏ :
¼Ò¼Ó : University of Pittsburgh ºÎ¼­ : Electrical & Computer Engineering
Á÷À§ : Electrical & Computer Engineering ¹ßÇ¥ÀϽà : 1/26(±Ý) ¼¼¼Ç#A4 08:50~10:20
¹ßÇ¥ÀÚ¾à·Â :
Inhee Lee earned his B.S. and M.S. in electrical and electronic engineering from Yonsei University in 2006 and 2008, respectively. He obtained his Ph.D. in electrical and electronic engineering from the University of Michigan in 2014. From 2015 to 2019, he served as an assistant research scientist at the University of Michigan. In 2019, he became an assistant professor at the University of Pittsburgh. His research focuses on developing millimeter-scale or smaller sensing/computing systems for ecological, biomedical, and AI-of-things applications. In 2021, he received the Best Paper Award from the ACM International Conference on Mobile Computing and Networking (MobiCom).
°­¿¬¿ä¾à :
Miniature wireless computing systems, with features like wireless communication and energy harvesting, offer unique advantages for various applications, including biomedical, ecological, and surveillance. Despite extensive research on miniaturization, the challenge lies in the larger size of associated systems, typically in the centimeter range due to peripherals such as batteries and casings. In this presentation, I will discuss the challenges of developing miniature wireless computing systems and introduce a millimeter-scale platform, recognized as the world's smallest computer. The system optimizes circuit performance by utilizing die fabricated in different technologies, stacked, and wire-bonded together. The stacked structure increases silicon area per unit volume, facilitating flexible system configuration. Additionally, I'll highlight two intriguing use scenarios of miniature systems for ecological studies.
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