Krisjanis Nesenbergs is a member of EDI Scientific Council and responsible for managing Cyber-physical Systems laboratory. He is a PhD candidate in Computer Science, currently in the final stage of his thesis work on smart wearable systems. His research interests include human-machine interaction, cyber-physical systems, security and privacy, artificial intelligence and information transfer, machine learning, image processing, wearable computing, sensor networks and smart medicine. His industry experience has laid foundation for successful management of research groups and projects as well as succesful participation in research funding . He has more than 20 scientific publications. Additinally he teaches several courses at University of Latvia and manages students’ bachelor thesis work on regular basis. He is passionate about disseminating research results and informing society of research work in general.
Participation in projects
- Arrowhead-Tools for Engineering of Digitalisation Solutions (Arrowhead-Tools) #H2020
- Intelligent transport and emergency management platform (iTrEMP) #ESIF
- Support for International Cooperation Projects in Research and Innovation in EDI (EDI SS3) #ESIF
- Deep neural network method for improve the accuracy of tracking and classification of vehicles registration plates (DziNTA) #ESIF
- Health and Social Indicators of Participation in Physical Activities for Children with Disabilities (HIPPAC) #ESIF
- The development and management efficiency improvement of Institute of Electronics and Computer Science (EDI-APE) #ESIF
- Development of technologies for cyber physical systems with applications in medicine and smart transport (KiFiS) #SRP (VPP)
- Multiple simultaneous measurement data aggregation, correlation analysis and extrapolation in real time: the model development and piloting (TeleMed) #Contract research (Līgumpētījumi)
- Smart City Technologies for Human Lives Improvements (ViPTeh) #ESIF
- Multifunkcionāla inteliģenta transporta sistēmas punkta tehnoloģija (MITS) #ESIF
- Project Nr.2 “Innovative signal processing technologies for smart and effective electronic system development” (IMIS) #SRP (VPP)
- Life with COVID-19: Evaluation of overcoming the coronavirus crisis in Latvia and recommendations for societal resilience in the future (VPP COVIDzīve) #SRP (VPP)
- Multidisciplinary approach to monitor, mitigate and contain COVID-19 and prevent other future epidemics in Latvia (VPP COV-MITIGATE) #SRP (VPP)
The most important publications
- J. Ormanis, K. Nesenbergs. “Human skin as data transmission medium for improved privacy and usability in wearable electronics”, In Medical Measurements and Applications (MeMeA), 2018 IEEE International Symposium on, pages 1–6. IEEE.
- Dorbe, N., Jaundalders, A., Kadikis, R., & Nesenbergs, K. (2018). FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country. Automatic Control and Computer Sciences, 52(2), 146-154.
- A. Ancans, A. Rozentals, K. Nesenbergs, M. Greitans. “Inertial sensors and muscle electrical signals in human-computer interaction”, 6th International Conference on Information and Communication Technology and Accessibility ICTA 2017
- V. Abolins, K. Nesenbers, E. Bernans. “On improving gait analysis data: heel induced force plate noise removal and cut-off frequency selection for Butterworth filter”, ICSPS 2017
- N. Dorbe, I. Ribners, K. Nesenbergs. "Prospects of improving the self-driving car development pipeline: transfer of algorithms from virtual to physical environment", 2017 The 10th International Conference on Machine Vision (ICMV 2017), November 13-15, 2017, Vienna, Austria
- NESENBERGS K. 2016 “Architecture of smart clothing for standardized wearable sensor systems.” IEEE Instrumentation & Measurement Magazine Volume 19, Issue 5 (2016), pp. 36-64. DOI: 10.1109/MIM.2016.7579068 , http://ieeexplore.ieee.org/document/7579068/
- HERMANIS, A., CACURS, R., NESENBERGS, K., GREITANS, M., SYUNDYKOV, E., and SELAVO, L., 2015. Wearable sensor grid architecture for body posture and surface detection and rehabilitation. In Proceedings of the 14th International Conference on Information Processing in Sensor Networks (IPSN '15). ACM, Seattle, WA, USA, 414-415.
- NESENBERGS, K., SELAVO, L., 2015. Smart textiles for wearable sensor networks: Review and early lessons. In Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on (pp. 402-406).
- A. Hermanis, K. Nesenbergs, R. Cacurs, and M. Greitans, "Wearable Posture Monitoring System with Biofeedback via Smartphone", Journal of Medical and Bioengineering, (ISSN: 2301-3796), March 2013, Vol. 2, no. 1, pp.40-44, 2013
- G. Strazdins, A. Elsts, K. Nesenbergs, L. Selavo, "Wireless Sensor Network Operating System Design Rules Based on Real-World Deployment Survey", Journal of Sensor and Actuator Networks, 2013, 2(3):509-556.
- Nesenbergs, K., Judvaitis, J., Mednis, A., Abolins, V., Skadins, A., Lapsa, D., Rava, R., Ivanovs, M. (2020) Classification of actual sensor network deployments in research studies from 2013 to 2017. doi: 10.20944/preprints202008.0480.v1
- Skadins, A., Rava, R., Ivanovs, M., Nesenbergs, K. (2020). Edge pre-processing of traffic surveillance video for bandwidth and privacy optimization in smart cities. 17th Biennial Baltic Electronics Conference (BEC2020) Tallin, Estonia.