Simin Masihi

Simin Masihi
Assistant Professor
Location:
A-247 Floyd Hall, Mail Stop 5329
Mailing address:
Western Michigan University
1903 West Michigan Avenue, MS 5329
Kalamazoo, MI 49008-5329
Simin Masihi
Education:
  • Ph.D., Western Michigan University
  • M.S., Adiban Institute of Higher Education, Iran
  • B.S., University of Zanjan, Iran
Research Interests:
  • Biomedical Engineering
  • Smart/Intelligent Health Monitoring Systems using Machine Learning and the Internet of Things
  • Haptics and Robotic-Assisted Medical Systems
Bio:

Dr. Simin Masihi is an assistant professor in Western Michigan University’s Department of Electrical and Computer Engineering. She has a proven track record of success in developing biomedical sensors and intelligent wearable health monitoring devices, with a focus on positively impacting people’s health and quality of life. Her work is driven by a passion for utilizing engineering expertise to create innovative technologies and advanced systems that address a range of healthcare needs, including analysis, prevention, diagnosis, rehabilitation, awareness, treatment and recovery.

Masihi’s research centers on the design and development of electronic devices in the emerging field of flexible hybrid electronics. These devices are designed to conform to the curvilinear surfaces of the human body, clothing or robotic limbs, seamlessly integrating with the Internet of Things. By incorporating artificial intelligence features, these devices enable adaptive functionality and patient monitoring in less supervised settings.

Masihi has developed various physiological signal acquisition systems, including electrocardiogram, pulse photoplethysmography, and electroencephalogram systems. She is embarking on a new phase of research  that builds upon her expertise in sensor technology and physiological signal acquisition systems to advance the field of Brain-Computer Interfaces (BCI). Recognizing that sensors are integral to the feedback loop in BCI systems, her background in sensor technology holds the potential to transform the bi-directional interactions within these systems. This initiative emphasizes the integration of sensors, robotics, artificial intelligence and machine learning—fields experiencing rapid advancements and high demand among students.

Masihi’s research has been published in 45 peer-reviewed prestigious journals, international proceedings, intellectual property disclosures and patent applications and has been featured in the Academic Times, AZoSensors, and the SCIENMAG Science Magazine.