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Dr. Jonathan Fürst

Dr. Jonathan Fürst

Dr. Jonathan Fürst

ZHAW School of Engineering
Forschungsschwerpunkt Intelligent Information Systems
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur

+41 (0) 58 934 75 34

Personal profile

Position at the ZHAW

Senior Lecturer

Expertise and research interests

Data Integration with Machine Learning, Smart City, IoT, Climate Change AI

Educational background

PhD in Computer Science, 2016, IT University of Copenhagen
MSc in Computer Science, 2013, IT University of Copenhagen
BEng in Industrial Engineering, 2010, Aalen University

Professional milestones

Senior Researcher, 2018-2022, NEC Laboratories Europe, Heidelberg
PostDoc, 2016-2018, IT University of Copenhagen
Visiting Scholar, 2014, UC Berkeley

Membership of networks


Conference contributions, peer-reviewed
  • Solmaz, Gürkan; Cirillo, Flavio; Fürst, Jonathan; Jacobs, Tobias; Bauer, Martin; Kovacs, Ernö; Santana, Juan Ramón; Sánchez, Luis,


    Enabling data spaces : existing developments and challenges [paper].


    Proceedings of the 1st International Workshop on Data Economy.

    18th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Rome, Italy, 6-9 December 2022.

    Association for Computing Machinery.

    pp. 42-48.

    Available from:

Publications before appointment at the ZHAW

Selected Publications (for a complete list, see:

Argerich, Mauricio Fadel, Jonathan Fürst, and Bin Cheng. "Tutor4RL: Guiding Reinforcement Learning with External Knowledge." In AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1). 2020.
Fürst, Jonathan, Mauricio Fadel Argerich, Bin Cheng, and Ernö Kovacs. "Towards knowledge infusion for robust and transferable machine learning in IoT." Open Journal of Internet Of Things (OJIOT) 6, no. 1 (2020): 24-34.
Fürst, Jonathan, Fadel Argerich, Mauricio, Shankari, Kalyanaraman, Solmaz, Gurkan, and Cheng, Bin. 2020. “Applying Weak Supervision to Mobile Sensor Data: Experiences with TransportMode Detection”. In: AAAI-20 Workshop on Artificial Intelligence of Things
Shankari, Kalyanaraman, Jonathan Fuerst, Mauricio Fadel Argerich, Eleftherios Avramidis, and Jesse Zhang. "MobilityNet: Towards a Public Dataset for Multi-modal Mobility Research." In ICLR 2020 Workshop on Tackling Climate Change with Machine Learning. 2020.
Solmaz, Gürkan, Jonathan Fürst, Samet Aytaç, and Fang-Jing Wu. "Group-in: Group inference from wireless traces of mobile devices." In 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 157-168. IEEE, 2020.
Cheng, Bin, Jonathan Fuerst, Gurkan Solmaz, and Takuya Sanada. "Fog function: Serverless fog computing for data intensive iot services." In 2019 IEEE International Conference on Services Computing (SCC), pp. 28-35. IEEE, 2019.
Chen, Kaifei, Jonathan Fürst, John Kolb, Hyung-Sin Kim, Xin Jin, David E. Culler, and Randy H. Katz. "Snaplink: Fast and accurate vision-based appliance control in large commercial buildings." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, no. 4 (2018): 1-27.
Fürst, Jonathan, Mauricio Fadel Argerich, Bin Cheng, and Apostolos Papageorgiou. "Elastic services for edge computing." In 2018 14th International Conference on Network and Service Management (CNSM), pp. 358-362. IEEE, 2018.
Fürst, Jonathan, Kaifei Chen, Hyung-Sin Kim, and Philippe Bonnet. "Evaluating Bluetooth low energy for IoT." In 2018 IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench), pp. 1-6. IEEE, 2018.
Fürst, Jonathan, Kaifei Chen, Gürkan Solmaz, and Ernö Kovacs. "Automated wireless localization data acquisition and calibration with 6DOF image localization." In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 1372-1381. 2018.
Fürst, Jonathan, Kaifei Chen, Mohammed Aljarrah, and Philippe Bonnet. "Leveraging physical locality to integrate smart appliances in non-residential buildings with ultrasound and bluetooth low energy." In 2016 IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI), pp. 199-210. IEEE, 2016.