Dr Atis Elsts is a senior researcher at the Institute of Electronics and Computer Science (EDI). Atis is currently leading two research projects: FEATURE (Energy-eFficient hEAlTh and behavioUR monitoring with wEarable devices and the IoT) and BCC (Body-Coupled Communication for Body Area Sensor Networks). He has authored and co-authored more than 40 scientific publications, and has postdoctoral research experience in Uppsala University (Sweden), RISE SICS (Sweden), and University of Bristol (UK), where he was a member of the Digital Health Engineering group. Atis is also a contributor and a maintainer of the Contiki-NG operating system for IoT, a member of IEEE, and a correspondent member of the Latvian Academy of Sciences.
Main research interests:
- Internet of Things systems and protocols, in particular the Contiki-NG OS and low-power wireless protocols
- Internet of Things applications in healthcare and other fields
I'm currently available for contract based R&D work in the areas above. See more information and rates at the bottom of this page!
Highlights of recent publications
Novemember 2021: I will be presenting our work on TSCH for smart homes at the SenSys'21 conference, journal paper track!
February 2021: I'm presenting a demo abstract on TSCH-Sim in the EWSN 2021 conference.
December 2020: the paper "TSCH for Long Range Low Data Rate Applications" is accepted in IEEE Access.
September 2020: the paper "TSCH-Sim: Scaling Up Simulations of TSCH and 6TiSCH Networks" is accepted in MDPI Sensors.
June 2020: Collaboration with University of Bristol on feature selection is accepted in Elsevier Journal of Computer Networks and Applications.
March 2020: Collaboration with Seoul National University on TSCH scheduling accepted in IEEE Access.
March 2020: Collaboration with University of Bristol and Technical University of Denmark on on-board activity classification for wearables is accepted in MDPI Sensors.
On the SPHERE project (smart homes for healthcare): on the low-power wireless infrastructure for the 100-homes deployment, on lessons learned from using the Contiki OS, on feature extraction on wearables for daily activity recognition of the participants.
On the Time Slotted Channel Hopping (TSCH) network protocol: mobility in TSCH, sub-GHz TSCH network, TSCH for Contiki, channel selection, scheduling, simulation, the TSCH implementation on CC2650, and time synchronization using TSCH (1) (2).
For students: research projects
I'm looking for enthusiastic students interested in embedded software development and research. I'm offering supervision for undergraduate and master thesis projects. The best option is to conduct your work on site at the Institute of Electronics and Computer Science (EDI) in Riga, Latvia, but alternatives may be possible.
Possible project topics:
Communication protocols for low-power wireless networks - IEEE 802.15.4 TSCH scheduling and other aspects.
Communication protocols for low-power wireless networks - Bluetooth Low Energy (BLE) version 5 experimental evaluation, dependability under interference, and other aspects.
Research in cryptocurrencies and other Distributed Ledger Technologies - for example, their applications in IoT, or experimental evaluation of existing implementations and protocols.
Human activity recognition using wearable sensors.
Human activity recognition using infrastructure sensors, for example, stationary WiFi or IEEE 802.15.4 devices.
If you're interested, please email to atis.elsts at edi.lv or to info at edi.lv
Software and datasets
Contiki-NG, an IoT operating system
Microsecond-accuracy time synchronization implementation using TSCH on Texas Instruments CC2650 hardware.
See GitHub for more.
Highlights of research positions
Research Associate in Internet of Things Networking at the University of Bristol and a core member of the SPHERE interdisciplinary research collaboration (IRC).
Researcher at SICS Swedish ICT (now RISE SICS), 2015. Atis was a member of the Networked Embedded Systems Group and participated in implementing the IEEE 802.15.4 TSCH protocol in the Contiki operating system.
Researcher at Uppsala University, 2014-2015. Atis was involved in the ProFuN project (A Programming Platform for Future Wireless Sensor Networks), where his contribution was the ProFuN TG, a tool for developing and managing sensor network applications that are aware of performance requirements.
Research assistant at the Institute of Electronics and Computer Science (IECS or EDI, Riga, Latvia), 2010-2013, and PhD student at University of Latvia. Atis' PhD thesis describes a software framework designed to facilitate wireless sensor network programming.