Connected Devices and Systems, Wearable and Wireless Health

Person looking at their smartwatch with a screen paired to their smartphone

Connected devices are already popular in the home, but are also becoming pervasive in clinical and industrial settings. The Industrial Internet of Things (IIoT) has become a $6.2 trillion economic opportunity. 

The Institute for Smart, Secure and Connected Systems (ISSACS) was launched to capture this opportunity as a multidisciplinary, multi-institution partnership. ISSACS supports new faculty and their laboratories to facilitate interdisciplinary research and education teams. 

The technological strengths of ISSACS are integrated with experts from business, law, medicine and social sciences—making it the “go-to” area for new research, startups and investments in IIoT. 

Human health will also benefit from connected devices. According to the World Health Organization, tobacco is one of the biggest public health threats facing the world. 

Around the globe, more than 7 million people a year die as a result of direct tobacco use, while around 1.2 million non-smokers die as a result of exposure to second-hand smoke. Researchers at Case School of Engineering have developed a wearable sensor to support smokers who want to quit

The wearable sensor is a novel smoking cessation system that combines motion detection and an Android software application to monitor smoking in real-time. Wearable sensors have the potential to improve and deliver real-time feedback to smokers to aid quit attempts and mitigate lapses.


Labs and Facilities

  • ECSE Undergraduate Computer Lab
  • Emerging Materials Development and Evaluation Laboratory
  • Jennings Computer Center Lab
  • Nord Computer Laboratory

Faculty who conduct research in Connected Devices and Systems, Wearable and Wireless Health

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Kenneth Loparo

Arthur L. Parker Professor
Professor Emeritus, Department of Electrical, Computer and Systems Engineering
Co-Director, Internet of Things Collaborative (IOTC)

Develop real-time data analytics and control algorithms for industrial, energy and physiological systems

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Steve Majerus

Assistant Professor, Department of Electrical, Computer and Systems Engineering

Focusing on sensor medicine: using bio-sensors to refine treatment and restore lost function.

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Pedram Mohseni

Department Chair, Department of Electrical, Computer and Systems Engineering
Goodrich Professorship for Engineering Innovation
Professor, Department of Electrical, Computer and Systems Engineering

Creates next-generation, integrated instruments for neural engineering and point-of-care (POC) health diagnostics