Janis is a researcher in Institute of Electronics and Computer Science (EDI) where he has worked from 2013. He is involved in various international projects related to Wireless Sensor Networks, embedded systems, Internet of Things, and edge computing. Expertise in ICT system design, development, implementation, and testing. Author of 20+ scientific articles. Janis defended his doctoral thesis “Enabling Wireless Sensor Network testbeds for high TRL research” in 2023 at the University of Latvia. Research interests includes Cyber-Physical Systems, Wireless Sensor Networks, Internet of Things, edge computing and embedded systems.
Recent projects
- One Step Open DBL solution (openDBL) #Horizon Europe
- Smart non-contact phenotyping of raspberries and quinces using machine learning methods, hyperspectral and 3D images (AKFen) #Horizon Europe
- Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI) #ChipsJU
Recent publications
- Arents, Janis, Valters Abolins, Janis Judvaitis, Oskars Vismanis, Aly Oraby, and Kaspars Ozols. 2021. "Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review" Journal of Sensor and Actuator Networks 10, no. 3: 48. https://doi.org/10.3390/jsan10030048
- Judvaitis, J., Mednis, A., Abolins, V., Skadins, A., Lapsa, D., Rava, R., Ivanovs, M. and Nesenbergs, K., 2020. Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017. Data 2020, 5(4), p.93., https://doi.org/10.3390/data5040093
- Zabasta, A., Kunicina, N., Grunde, U., Judvaitis, J., Sematovica, I. (2020) Implementation of IoT Concept for Early Diagnostic of Subacute Rumen Acidosis in Cows. Conference: 2020 9th Mediterranean Conference on Embedded Computing (MECO), 1-4. doi: 10.1109/MECO49872.2020.9134092
- Miha Deniša, Aleš Ude, Mihael Simoniˇc, Tero Kaarlela, Tomi Pitkäaho, Sakari Pieskä, Janis Arents, Janis Judvaitis, Kaspars Ozols, Levente Raj, András Czmerk, Morteza Dianatfar, Jyrki Latokartano, Patrick Alexander Schmidt, Anton Mauersberger, Adrian Singer, Halldor Arnarson, Beibei Shu, Dimosthenis Dimosthenopoulos, Panagiotis Karagiannis, Teemu-Pekka Ahonen, Veikko Valjus and Minna Lanz. 2023. "Technology Modules Providing Solutions for Agile Manufacturing" Machines 23, 11 (9): pp. 877, https://doi.org/10.3390/machines11090877
- Ovidiu Vermesan, Kai vorm Walde, Roy Bahr, Cordula Conrady, Jānis Judvaitis, Gatis Gaigals, Tore Karlsen, Marcello Coppola, Hans-Erik Sand (2023). Recenzēta nodaļa "Edge AI LoRa Mesh Technologies" grāmatā "Advancing Edge Artificial Intelligence System Contexts", River Publishers
- Jānis Judvaitis, Krišjānis Nesenbergs (2023). Poster: IoT-Edge-Cloud Continuum data flow validation tool. Proceedings of Embedded Wireless Systems and Networks 2023, Association for Computing Machinery