Hemant Ghayvat

Hemant Ghayvat is an Associate Professor at Linnaeus University's Department of Computer Science and Media Technology, affiliated with the Faculty of Technology. He specializes in Embedded Systems, IoT, and Health Informatics, focusing on Ambient Assisted Living and AI-driven healthcare solutions. His research spans smart home technologies, wearable sensors, and predictive analytics for chronic disease management.

Education:

• Bachelor's in Electronics and Communications (BIST, Bhopal, 2009)
• Master's in Microelectronics and VLSI (2011)
• PhD in Smart Home for Ambient Assisted Living (completed in New Zealand)

Research Interests:

• Preventive Healthcare Monitoring
• Ambient Assisted Living for Elderly
• AI-Based Decision Making in Medicine
• Behavioral Pattern Analysis
• IoT Security and Privacy

His work emphasizes fusion of sensor data and AI for real-time health interventions, such as gait rehabilitation for Parkinson's patients and anomaly detection in daily activities.

Notable Projects:

• VCardiac: Framework for contactless heart disease detection via acoustic signals.
• Mitigating Health Inequalities: System thinking approach for regional healthcare improvement.

Teaching: Courses in IoT, Embedded Systems, and Network Security at undergraduate and graduate levels.

Labs/Teams: Active in the E-health – Improved Data to and from Patients group at Linnaeus University Centre for Data Intensive Sciences and Applications (DISA).