News & Event


News & Event


(May 9) Recent Progress on Multi-Modal MEMS Sensors for Trace Amount of Explosive Vapor Detection


Recent Progress on Multi-Modal MEMS Sensors for Trace Amount of Explosive Vapor Detection


2016/05/09 (Monday) 15:30 - 16:30


Seongwan(Sam) Kim, Ph.D.,P.Eng. (Dept. of Mechanical and Manufacturing Engineering, University of Calgary)


NanoFab (E19) Geumgangsan Room


Chemical sensors based on micro/nanoelectromechanical systems (M/NEMS) offer many advantages. However, obtaining chemical selectivity in M/NEMS sensors using chemoselectiveinterfaces has been a longstanding challenge. Despite their many advantages, M/NEMS devices relying on chemoselective interfaces do not have sufficient chemical selectivity. Therefore, highly sensitive and selectivedetection and quantification of chemical molecules using real-time, miniature sensor platforms still remains as a crucial challenge. Incorporating photothermal/photoacousticspectroscopic techniques with M/NEMS using quantum cascade lasers (QCLs) can providethe chemical selectivity without sacrificing the sensitivity of the miniaturized sensing system. In this talk, I will present a recent progress on the development of multi-modal MEMS sensors for trace amount of explosive vapor detection.


Dr. Kim is an Assistant Professor and Canada Research Chair in Nano Sensing Systems, in the Department of Mechanical and Manufacturing Engineering at the University of Calgary. He received  his BS (1998) and MS (2000) degrees in Aerospace Engineering from Seoul National University, Seoul, South Korea and PhD (2008)in Mechanical, Aerospace and Biomedical Engineering from the University of Tennessee, Knoxville, USA. He was a Postdoctoral Research Associate at Oak Ridge National Laboratory, USA andan Acting Research Associate at the University of Alberta prior to his current position. Dr. Kim has founded the Nano/Micro-Sensors and Sensing Systems Laboratory (NMSSS, at the University of Calgary to develop ultrasensitive chemical sensors and sensing systems and to characterize nanomaterials, and polymeric nanocomposites for energy, environment, and health applications.