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北京时间2024年5月24日晚八点，iCANX Talks 第187期邀请到了韩国app技术院Inkyu Park教授进行分享！此外，巴塞罗那微电子所Stella Vallejos，苏州大学功能纳米与软物质研究院Xuhui Sun，上海科技大学Ze Xiong，南方科技大学Fei Wang等教授担任嘉宾，成均馆大学Miso Kim教授担任主持人。

这将是一场汇聚顶尖学者的盛会，共同探讨前沿科技与学术挑战！更多精彩，敬请期待！

【嘉宾介绍】

Inkyu Park

韩国app技术院

Smart Environmental Monitoring by Low-Power / Self-Powered Gas Sensors and Artificial Intelligence

【Abstract】

With the advent of the 4th industrial revolution, there has been a significant rise in the use of Internet of Things (IoT) and advanced sensors in several sectors, including but not limited to smart factories, healthcare, environment, and entertainment. However, the deployment of an increasing number of sensors in IoT systems has made it crucially important but challenging to reduce their form factors and power consumption. Consequently, there is a growing need for sensors that are miniaturized, low-power, or self-powered. In particular, when it comes to environmental IoT, it is essential to decrease power consumption in gas sensors while simultaneously enhancing sensing performance factors, such as sensitivity, selectivity, and response speed. In this talk, we present some recent advancements in the development of environmental sensors that are miniaturized, low-power or self-powered. These sensors utilize functional nanomaterials, microfabricated sensor structures, and photo-activated sensing mechanisms, which were developed by our research group at KAIST. Additionally, we describe the implementation of deep learning-based signal processing techniques for ultra-low power environmental sensors. The following topics are covered in depth: (a) Low-power semiconductor metal oxide (SMO) based chemoresistive gas sensor array using localized hydrothermal synthesis, (b) Ultra-low-power SMO gas sensors monolithically integrated on a micro LED platform, (c) Self-powered gas sensors using chemo-optically modulating sensing films and photovoltaic cells, (d) Machine learning of gas sensor array for high performance electronic nose (e-nose) systems.

随着第四次工业革命的到来，物联网（IoT）和先进传感器在多个领域的使用显著增加，包括但不限于智能工厂、医疗保健、环境和娱乐。然而，在物联网系统中部署越来越多的传感器，使得减小它们的尺寸和功耗变得至关重要但又具有挑战性。因此，对小型化、低功耗或自供能传感器的需求日益增长。特别是在环境物联网领域，减少气体传感器的功耗，同时提高灵敏度、选择性和响应速度等传感性能因素至关重要。在本次演讲中，我们介绍了在开发小型化、低功耗或自供能环境传感器方面的一些最新进展。这些传感器利用了我们研究小组在KAIST开发的功能性纳米材料、微加工传感器结构和光激活传感机制。此外，我们还描述了为超低功耗环境传感器实现基于深度学习的信号处理技术。以下是深入讨论的主题：1.使用局部水热合成的低功耗半导体金属氧化物（SMO）基础明升手机电阻气体传感器阵列，2.单片集成在微LED平台上的超低功耗SMO气体传感器，3.使用明升手机光调制传感膜和光伏电池的自供能气体传感器，4.用于高性能电子鼻（e-nose）系统的气体传感器阵列的机器学习。

【BIOGRAPHY】

Prof. Inkyu Park received his B.S., M.S., and Ph.D. from KAIST (1998), UIUC (2003) and UC Berkeley (2007), respectively, all in mechanical engineering. He has been with the department of mechanical engineering at KAIST since 2009 as a faculty member and is currently a full professor and KAIST Endowed Chair Professor. His research interests are micro/nanofabrication, smart sensors for healthcare, environmental and biomedical monitoring, and flexible & wearable electronics. He has published more than 180 SCI journal articles and 50+ patents in the area of MEMS/NANO engineering, and his publications have been cited more than 16,000 times (h-index=55) as of April 2024. He is a recipient of HP Open Innovation Research Award (2009-2012), KAIST Prize for Academic Excellence (2021), KAIST Grand Prize for Technology Innovation Award (2019), Top 10 Nanotechnology of Korea (2023), and Minister Award from Ministry of Science and ICT (2023). At present, he holds the position of editor for Sensors and Actuators B: Chemical (ElSevier), a top-ranked SCI journal in the field of chemical sensor technology.

Park Inkyu教授分别于1998年、2003年和2007年在KAIST（韩国app技术院）、UIUC（伊利诺伊大学香槟分校）和UC Berkeley（加州大学伯克利分校）获得机械工程学士、硕士和博士学位。自2009年以来，他一直在KAIST机械工程系担任教职员工，目前是全职教授和KAIST特聘教授。他的研究兴趣包括微/纳米制造、用于医疗保健、环境和生物明升手机版监测的智能传感器，以及柔性和可穿戴电子设备。他在MEMS/NANO工程领域发表了180多篇SCI期刊文章和50多项专利，截至2024年4月，他的出版物被引用超过16,000次（h指数=55）。他是HP开放创新研究奖（2009-2012年）、KAIST学术优秀奖（2021年）、KAIST技术创新大奖（2019年）、韩国十大纳米技术（2023年）和app与信息通信技术部颁发的部长奖（2023年）的获得者。目前担任《Sensors and Actuators B: Chemical》（ElSevier出版）的编辑。