Sayon Karmakar
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: National Institute of Technology Sikkim (2021); Siksha O Anusandhan University (2020)
Unknown Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Sayon Karmakar's research focuses on the application of machine learning and sensor networks within connected vehicles, particularly for driver monitoring and safety. His work has investigated methods for detecting driver drowsiness using IoT-based systems and machine learning algorithms. Additionally, Karmakar has explored the use of medical wireless sensor networks to monitor driver biomarkers in connected vehicles, aiming to enhance safety through health monitoring.
His publications include studies on an IoT-based system for drowsiness detection, monitoring driver biomarkers with wireless sensor networks, and machine learning-based imaging in connected vehicles. Karmakar has collaborated with Seshadri Mohan at the University of Arkansas at Little Rock on three shared publications. His scholarly output includes 4 publications with an h-index of 1 and 9 total citations.
Metrics
- h-index: 1
- Publications: 4
- Citations: 9
Selected Publications
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Machine Learning-Based Imaging in Connected Vehicles Environment (2021)
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An IoT-based System with Machine Learning for Detecting Drowsiness of Drivers (2021)
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Monitoring Biomarkers of Drivers with Medical Wireless Sensor Networks Deployed in Connected Vehicles (2021)
Collaboration Network
Top Collaborators
- Monitoring Biomarkers of Drivers with Medical Wireless Sensor Networks Deployed in Connected Vehicles
- An IoT-based System with Machine Learning for Detecting Drowsiness of Drivers
- Machine Learning-Based Imaging in Connected Vehicles Environment
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