Dr Atis Elsts is a senior researcher at the Institute of Electronics and Computer Science (EDI). He has authored and co-authored more than 50 scientific publications. Atis has postdoctoral research experience in Uppsala University (Sweden), RISE SICS (Sweden), and University of Bristol (UK). He is also a correspondent member of the Latvian Academy of Sciences.
Recent projects
- ACKCIO contract research project #Contract research (Līgumpētījumi)
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Smart Materials, Photonics, Technologies, and Engineering Ecosystem (MOTE) #VPP
Recent publications
- Atis Elsts, Maksims Ivanovs, Roberts Kadikis, Olegs Sabelnikovs. CNN for Hand Washing Movement Classification: What Matters More-the Approach or the Dataset?
- Ormanis, J., Medvedevs, V., Abolins, V., Gaigals, G. and Elsts, A., 2022, May. Signal Loss in Body Coupled Communication: Guide for Accurate Measurements. In 2022 Workshop on Benchmarking Cyber-Physical Systems and Internet of Things (CPS-IoTBench) (pp. 22-27). IEEE.
- George Oikonomou, Simon Duquennoy, Atis Elsts, Joakim Eriksson, Yasuyuki Tanaka, Nicolas Tsiftes. The Contiki-NG open source operating system for next generation IoT devices
- Didzis Lapsa, Rims Janeliukštis, Atis Elsts. Electrode Comparison for Heart Rate Detection via Bioimpedance Measurements
- Didzis Lapsa, Margus Metshein, Andrei Krivošei, Rims Janeliukstis, Olev Märtens, Atis Elsts. Signal Acquisition and Algorithm Design for Bioimpedance-Based Heart Rate Estimation from the Wrist. Applied Sciences, 14(21), 9632
- Niharika Panda, S. Muthuraman, Atis Elsts. 2024 ."Multi-Objective Optimization of Orchestra Scheduler for Traffic-Aware Networks" Smart Cities, 2024(7), pp.2542-2571. https://doi.org/10.3390/smartcities7050099
- Panda Niharika, Supriya M., Elsts Atis. 2025. Prioritized and Multi-Agent Reinforcement Learning-Based TSCH Schedulers. https://www.scopus.com/inward/record.uri?eid=2-s2.0-105019786386&doi=10.1109%2FOJCS.2025.3624137&partnerID=40&md5=9bee6ea338c84af313f1c51ac7111904