Katia Grenier

Katia Grenier


  • Chair, IMBIOC ExCom, Meetings and Symposia Committee, Standing Committees**
  • IMBIOC, MTT-S Financially-Owned Conferences (excl. IMS), Meetings and Symposia Committee, Standing Committees**
  • Speakers bureau, MTT-28 BIOLOGICAL EFFECTS AND MEDICAL APPLICATIONS, Technical Committees**


Katia Grenier received her Ph.D. degree in electrical engineering from the University of Toulouse, France, in 2000. After a Postdoctoral Fellowship at Agere Systems (Bell Labs) in 2001, she joined the Laboratory of Analysis and Architecture of Systems of the National Scientific Research Center (LAAS-CNRS), in France and was engaged in the development of RadioFrequency microelectromechanical systems (RF MEMS) circuits on silicon. From 2007 to 2009, she was a visiting researcher with the Laboratory for Integrated Micromechatronic Systems of CNRS (LIMMS-CNRS) and the University of Tokyo, in Japan, where she was engaged in launching research activities on miniature microwave and millimeterwave-based biosensors. Since 2009, she is heading a research group in LAAS-CNRS dedicated to the development of High Frequency and Fluidic Microwave Microsystems. Her research interests are focused on the interaction of RF electromagnetic waves with complex fluids at the milli and microscales. It involves the development of fluidic-based and RF micro and nanosystems for biological and medical applications as well as for reconfigurable wireless. She has published more than 190 papers in peer reviewed journals and conferences.

Dr. Grenier is a member of the Technical Committee (MTT-10) dedicated to Biological effect and medical applications of RF and microwave of the IEEE MTT Society. She also serves as a member of the European Microwave Association (EuMA) and as Program Committee member of several conferences such as the past IEEE BioWireleSS and newly IEEE International Microwave Bio Conference (IMBioC) and IEEE MTT-S International Microwave Symposium (IMS).


Microwave spectroscopy for noninvasive biological and health sensing