Dr. Leo Selavo is a senior researcher and a full Professor at the University of Latvia’s Faculty of Computing, positions he has held since 2007. His work focuses on developing complex, real-time embedded systems, with primary research interests in Wireless Sensor Networks (WSN) and the Internet of Things (IoT), particularly their applications in smart healthcare, digital systems, and intelligent transportation. He earned his Ph.D. in Computer Science from the University of Pittsburgh. His academic career includes significant time in the United States, serving as a researcher at the University of Virginia (2005–2007) and holding an employment position at the University of Iowa (2015–2016) in Computer Science.
Recent projects
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Physics Informed Machine Learning-Based Prediction and Reversion of Impaired Fasting Glucose Management (PRAESIIDIUM) #Horizon Europe
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Smart Materials, Photonics, Technologies, and Engineering Ecosystem (MOTE) #VPP
Recent publications
- Didzis Lapsa, Rims Janeliukstis, Margus Metshein, Leo Selavo. (2024). PPG and Bioimpedance-Based Wearable Applications in Heart Rate Monitoring—A Comprehensive Review. Applied Sciences, 14(17), 7451. https://www.mdpi.com/2076-3417/14/17/7451
- Arzovs, A.; Judvaitis, J.; Nesenbergs, K.; Selavo, L. Distributed Learning in the IoT–Edge–Cloud Continuum. MDPI Machine Learning and Knowledge Extraction 6, no. 1: 283-315.
- Janis Judvaitis, Valters Abolins, Amr Elkenawy, Rihards Balass, Leo Selavo, Kaspars Ozols, 2023. "Testbed Facilities for IoT and Wireless Sensor Networks: A Systematic Review" ,J. Sens. Actuator Netw 2023, 12(3), 48. https://www.mdpi.com/2224-2708/12/3/48
- Judvaitis J, Blumbergs E, Arzovs A, Mackus AI, Balass R, Selavo L. 2024. A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum. https://www.mdpi.com/2571-5577/7/6/130