Applications of CPS technologies dealing with automated machines that can take the place of humans in dangerous environments or manufacturing processes, or resemble humans in appearance, behavior, and/or cognition.
event
Submitted by Anonymous on Thu, 09/05/2013 - 11:11am
The CPSWeek brings together five leading conferences - HSCC, ICCPS, IPSN, HiCoNS, RTAS - as well as several workshops and tutorials on various aspects on the research and development of cyber-physical systems: Embedded Systems, Hybrid Systems, Real-Time and Sensor Networks.
tearline
Submitted by Katie Dey on Mon, 10/11/2021 - 9:26am
forum
Submitted by yusufsarwar on Mon, 08/16/2021 - 2:53am
IEEE SMARTCOMP 2021 .::. Call for Participation .::.
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The 7th IEEE International Conference on Smart Computing (SMARTCOMP 2021), August 23-27, 2021.
Due to uncertainties associated with the pandemic, IEEE SMARTCOMP 2021 will be held as a virtual conference.
https://www.smart-comp.info
tearline
Submitted by Katie Dey on Mon, 07/05/2021 - 7:46pm
tearline
Submitted by ledeczi on Mon, 06/14/2021 - 1:23pm
forum
Submitted by yusufsarwar on Wed, 06/02/2021 - 6:06pm
The 7th IEEE International Conference on Smart Computing (SMARTCOMP 2021) conference is accepting papers for WIP (Work in progress), tutorials, industry papers, and PhD forum. Please check the website for details: https://www.smart-comp.info
Please note that due to uncertainties associated with the pandemic, the conference will be held as a virtual conference.
Thank you.
forum
Submitted by Ricardo Sanfelice on Sat, 11/07/2020 - 7:21pm
Postdoctoral Scholar positions are available at the Hybrid Systems Laboratory at the Department of Electrical and Computer Engineering, University of California in Santa Cruz, California, in the area of modeling, analysis, and design of hybrid and cyber-physical systems. The projects associated with the positions pertain to the generation of new theory for the design of algorithms guaranteeing safety, security, and robustness in autonomous systems. Relevant areas of expertise include nonlinear and hybrid control, model predictive control, model-based learning, and
