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Dr Jonas Beuchert
Lecturer
School of Computer Science and Informatics
- Available for postgraduate supervision
Overview
I am a computer scientist and electrical engineer. I build cyber-physical systems for localisation and wildlife monitoring.
I hold a DPhil in autonomous intelligent machines and systems from the University of Oxford and a BSc and an MSc in electrical engineering from the TU Berlin.
I am happy to supervise students who would like to research, design, and implement novel cyber-physical systems for environmental monitoring, especially wildlife monitoring. These projects typically sit at the intersection of hardware and software and can involve one or more of the following aspects: low-bandwidth wireless communication, localisation, low-power systems, sensor networks, IoT, embedded computer vision, and/or mobile apps. The projects that fall into the aforementioned category would usually have a more applied nature, with the ultimate goal of deploying the developed system in a real-world wildlife conservation or ecological monitoring scenario and generating impact. However, I am also looking forward to supervise more theoretical projects on mobile localisation for a broader area of applications, having myself several years of experience in sensor fusion and with localisation technqiues employing satellite navigation (GNSS), inertial measurement units (IMUs), lidar, and vision.
Publication
2023
- Beuchert, J., Matthes, A. and Rogers, A. 2023. SnapperGPS: open hardware for energy-efficient, low-cost wildlife location tracking with snapshot GNSS. Journal of Open Hardware 7(1) (10.5334/joh.48)
- Beuchert, J., Camurri, M. and Fallon, M. 2023. Factor graph fusion of raw GNSS sensing with IMU and lidar for precise robot localization without a base station. Presented at: IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May 2023-02 June 20232023 IEEE International Conference on Robotics and Automation (ICRA). IEEE pp. 8415-8421., (10.1109/icra48891.2023.10161522)
2021
- Beuchert, J. and Rogers, A. 2021. SnapperGPS: algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots. Presented at: SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15 - 17 2021SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems. New York: Association for Computing Machinery pp. 165-177., (10.1145/3485730.3485931)
2020
- Beuchert, J., Solowjow, F., Raisch, J., Trimpe, S. and Seel, T. 2020. Hierarchical event-triggered learning for cyclically excited systems with application to wireless sensor networks. IEEE Control Systems Letters 4(1), pp. 103-108. (10.1109/lcsys.2019.2922005)
- Beuchert, J., Solowjow, F., Trimpe, S. and Seel, T. 2020. Overcoming bandwidth limitations in wireless sensor networks by exploitation of cyclic signal patterns: an event-triggered learning approach. Sensors 20(1), article number: 260. (10.3390/s20010260)
2019
- Beuchert, J., Raischl, J. and Seel, T. 2019. Design of an iterative learning control with a selective learning strategy for swinging up a pendulum. Presented at: 2018 European Control Conference (ECC), Limassol, Cyprus, 12-15 June 20182018 European Control Conference (ECC). IEEE pp. 3137-3142., (10.23919/ECC.2018.8550250)
Articles
- Beuchert, J., Matthes, A. and Rogers, A. 2023. SnapperGPS: open hardware for energy-efficient, low-cost wildlife location tracking with snapshot GNSS. Journal of Open Hardware 7(1) (10.5334/joh.48)
- Beuchert, J., Solowjow, F., Raisch, J., Trimpe, S. and Seel, T. 2020. Hierarchical event-triggered learning for cyclically excited systems with application to wireless sensor networks. IEEE Control Systems Letters 4(1), pp. 103-108. (10.1109/lcsys.2019.2922005)
- Beuchert, J., Solowjow, F., Trimpe, S. and Seel, T. 2020. Overcoming bandwidth limitations in wireless sensor networks by exploitation of cyclic signal patterns: an event-triggered learning approach. Sensors 20(1), article number: 260. (10.3390/s20010260)
Conferences
- Beuchert, J., Camurri, M. and Fallon, M. 2023. Factor graph fusion of raw GNSS sensing with IMU and lidar for precise robot localization without a base station. Presented at: IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 29 May 2023-02 June 20232023 IEEE International Conference on Robotics and Automation (ICRA). IEEE pp. 8415-8421., (10.1109/icra48891.2023.10161522)
- Beuchert, J. and Rogers, A. 2021. SnapperGPS: algorithms for energy-efficient low-cost location estimation using GNSS signal snapshots. Presented at: SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15 - 17 2021SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems. New York: Association for Computing Machinery pp. 165-177., (10.1145/3485730.3485931)
- Beuchert, J., Raischl, J. and Seel, T. 2019. Design of an iterative learning control with a selective learning strategy for swinging up a pendulum. Presented at: 2018 European Control Conference (ECC), Limassol, Cyprus, 12-15 June 20182018 European Control Conference (ECC). IEEE pp. 3137-3142., (10.23919/ECC.2018.8550250)
Research
Selected projects I worked on:
Automated monitoring of insects (AMI System)
- Keywords: Wildlife monitoring, low-power systems, embedded systems, electronics, open hardware, wireless communication, computer vision, audio, app development
- Website: UKCEH
- Publication: pro²
- Software: GitHub
Snapshot GNSS for wildlife tracking (SnapperGPS)
- Keywords: Satellite navigation, low-power systems, electronics, open hardware, cloud computing, cellular networking, app development
- Website: SnapperGPS
- Publications: Sensys, JOH, ISTS, DPhil
- Hardware/software: GitHub
Factor graph fusion of GNSS data into navigation systems of robots
- Keywords: Satellite navigation, lidar, inertial navigation, sensor fusion, robotics
- Publications: ICRA, DPhil
- Software: GitHub
Event-triggered learning in sensor networks
- Keywords: sensor networks, low-bandwidth systems, statistical learning, Gaussian processes, inertial measurement units
- Publications: CDC/CSS, Sensors
Fabrication optimisation for composite parts
- Keywords: Machine learning, automatic fiber placement, production engineering, aerospace
- Publication: Patent
Iterative learning control
- Keywords: control theory
- Publication: ECC
Biography
Since 2024: Lecturer (Teaching & Research), Cardiff University.
Since 2023: Scientist (Wildlife Monitoring Engineer), UK Centre for Ecology & Hydrology.
2019-2023: PhD in Autonomous Intelligent Machines & Systems, University of Oxford.
2018: Trainee, The Boeing Company.
2017-2019: MSc in Electrical Engineering, TU Berlin.
2014-2017: BSc in Electrical Engineering, TU Berlin.
Committees and reviewing
- Reviewer for the IEEE International Conference on Robotics and Automation (ICRA): 2023, 2025
- Reviewer for the American Control Conference (ACC): 2025
- Reviewer for the IEEE Robotics and Automation Letters (RA-L): 2024
Supervisions
I am happy to supervise students who would like to research, design, and implement novel cyber-physical systems for environmental monitoring, especially wildlife monitoring. These projects typically sit at the intersection of hardware and software and can involve one or more of the following aspects: low-bandwidth wireless communication, localisation, low-power systems, sensor networks, IoT, embedded computer vision, and/or mobile apps. The projects that fall into the aforementioned category would usually have a more applied nature, with the ultimate goal of deploying the developed system in a real-world wildlife conservation or ecological monitoring scenario and generating impact. However, I am also looking forward to supervise more theoretical projects on mobile localisation for a broader area of applications, having myself several years of experience in sensor fusion and with localisation technqiues employing satellite navigation (GNSS), inertial measurement units (IMUs), lidar, and vision.
If you are interested in a PhD or MPhil, please find some information on how to apply here and also get in touch with me (e.g., via email or LinkedIn). The link above also contains information about funding, including for UK, EU, and overseas students. Additional information about funding opportunities for Chinese and Commonwealth applicants, respectively, only can be found here.
Students would be based the modern Abacws building, which offers a range of facilities, equipment, and lab spaces. It is located in the centre of Cardiff with excellent public transport links as well as cycling infrastructure.
Contact Details
Abacws, Floor 4, Room 4.18, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Research themes
Specialisms
- Cyberphysical systems and internet of things
- Electronics, sensors and digital hardware
- Mobile computing