28 FebMechanical Engineering Graduate SeminarMEMS-Enabled Bio-Inspired Network: Networks that Sense, Compute, and Actuate
MEMS-Enabled Bio-Inspired Network: Networks that Sense, Compute, and Actuate
  • Dr. Fadi Alsaleem, hosted by Prof. Mohammad Younis
  • University of Nebraska–Lincoln
  • Thursday, February 28, 2019
  • 12:00 PM - 01:00 PM
  • Building 9, Lecture Hall 2
2019-02-28T12:002019-02-28T13:00Asia/RiyadhMEMS-Enabled Bio-Inspired Network: Networks that Sense, Compute, and ActuateBuilding 9, Lecture Hall 2Emmanuelle Sougrat


Biological systems such as human skin, eagle wings, or octopus tentacles inherently integrate sensing, actuation, and controls to produce unique multi-functionality. Inspired by these biological systems, there is a growing interest in the development of smart materials capable of integrating sensing, actuation, and computation in one structure. The advancement of these smart materials will affect a large variety of applications and may lead to the development of airfoils that change their aerodynamic profile, robotic skins with a realistic sense of touch, or even a robotic tentacle that can autonomously navigate through a patient’s body to perform minimally invasive surgery or to perform exploration in hazardous places.  In this talk, I will demonstrate—for the first time—the use of a network of Micro-electrical-mechanical systems (MEMS) for producing a smart material that inherently integrates sensing, actuation, and computing to produce unique multi-functionality. The novelty of this work lies in extending the use of MEMS devices from limited sensors that can only acquire analog signals to computing units that can perform complex tasks such as feature extraction, categorization, and motion control on these measured signals. The new MEMS-based smart materials can realize a robotics material in many applications such as in medical applications for improving the recovery, independence, and quality of life of individuals with a variety of disabling conditions.


Dr. Alsaleem received  the   B.S.  degree   in mechatronics engineering from The Hashemite University, Jordan,  in  2003,  and  the  M.S.  and Ph.D.  degrees  in  mechanical  engineering  from  The State University of New York at Binghamton, NY,  USA,  in  2007  and  2009,  respectively. He was an Assistant Professor with the Department of Mechanical  Engineering,  Wichita  State  University, from 2015 to 2016. Prior to this, he was a Senior Lead Algorithm Engineer at Emerson Climate Technology  for  four  years,  and  a  MEMS  Control  Engineer  at  DunAn  Microstaq  for  a  couple  of  years.  Since  2016,  he  has  been an Assistant Professor with the Architecture Engineering Department and the Mechanical  Engineering  Department  (courtesy  appointment),  University  of Nebraska–Lincoln.  He has been an active researcher in the area  of Neuromorphic Computing,  MEMS,  and  Smart  Building.  He has  published  over  60  peer-reviewed  conferences  and  journal  papers.  He has  authored  and  co-authored over 15 pending and granted patent applications in the area of MEMS adaptive control and cloud  based  online monitoring  and  diagnostics.


  • Emmanuelle Sougrat