![Jonas Beuchert](https://profiles-cardiff.imgix.net/attachments/9015?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Jonas Beuchert
- Available for postgraduate supervision
Teams and roles for Jonas Beuchert
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
2025
- Goldmann, K. et al., 2025. Compressed species classification models for biodiversity monitoring. Presented at: 29th International Conference on Theory and Practice of Digital Libraries, TPDL 2025 Tampere, Finland 23-26 September 2025. Published in: Balke, W. et al., New Trends in Theory and Practice of Digital Libraries: TPDL 2025 Short Papers and Workshops, Tampere, Finland, September 23–26, 2025, Proceedings. Communications in Computer and Information Science Vol. 2694. Cham, Switzerland: Springer. , pp.382-391. (10.1007/978-3-032-06136-2_35)
- Hou, X. et al., 2025. Thermal-to-RGB video translation for wildlife monitoring: Enhancing low-resolution thermal imagery with large diffusion models. Presented at: HotSense '25 Hong Kong, China 4-8 November 2025. Proceedings of the 2025 ACM International Workshop on Thermal Sensing and Computing. New York, NY: Association for Computing Machinery. , pp.13-18. (10.1145/3737905.3769285)
- Hou, X. et al., 2025. OxBioZ: Wearable continuous bioimpedance monitoring system and multi-activity dataset with physiological and motion signals. Presented at: ACM Annual International Conference on Mobile Computing and Networking(MobiCom) Hong Kong, China 04-08 November 2025. 3rd ACM Workshop on Smart Wearable Systems and Applications (SmartWear '25). ACM. (10.1145/3737903.3768566)
2023
- 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 2023. 2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE. , pp.8415-8421. (10.1109/icra48891.2023.10161522)
- 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)
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 2021. SenSys '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. et al. 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. et al. 2020. Overcoming bandwidth limitations in wireless sensor networks by exploitation of cyclic signal patterns: an event-triggered learning approach. Sensors 20 (1) 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 2018. 2018 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. et al. 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. et al. 2020. Overcoming bandwidth limitations in wireless sensor networks by exploitation of cyclic signal patterns: an event-triggered learning approach. Sensors 20 (1) 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 2023. 2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE. , pp.8415-8421. (10.1109/icra48891.2023.10161522)
- 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 2018. 2018 European Control Conference (ECC). IEEE. , pp.3137-3142. (10.23919/ECC.2018.8550250)
- 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 2021. SenSys '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)
- Goldmann, K. et al., 2025. Compressed species classification models for biodiversity monitoring. Presented at: 29th International Conference on Theory and Practice of Digital Libraries, TPDL 2025 Tampere, Finland 23-26 September 2025. Published in: Balke, W. et al., New Trends in Theory and Practice of Digital Libraries: TPDL 2025 Short Papers and Workshops, Tampere, Finland, September 23–26, 2025, Proceedings. Communications in Computer and Information Science Vol. 2694. Cham, Switzerland: Springer. , pp.382-391. (10.1007/978-3-032-06136-2_35)
- Hou, X. et al., 2025. Thermal-to-RGB video translation for wildlife monitoring: Enhancing low-resolution thermal imagery with large diffusion models. Presented at: HotSense '25 Hong Kong, China 4-8 November 2025. Proceedings of the 2025 ACM International Workshop on Thermal Sensing and Computing. New York, NY: Association for Computing Machinery. , pp.13-18. (10.1145/3737905.3769285)
- Hou, X. et al., 2025. OxBioZ: Wearable continuous bioimpedance monitoring system and multi-activity dataset with physiological and motion signals. Presented at: ACM Annual International Conference on Mobile Computing and Networking(MobiCom) Hong Kong, China 04-08 November 2025. 3rd ACM Workshop on Smart Wearable Systems and Applications (SmartWear '25). ACM. (10.1145/3737903.3768566)
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
- Publications: pro², TPDL
- 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
- Reviewer for the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): 2025
Supervisions
Funded PhD position co-supervised with Nick Pham (Cardiff) and Tom August (UK Centre for Ecology & Hydrology): https://www.findaphd.com/phds/project/high-resolution-on-device-machine-vision-using-a-microcontroller-and-a-neural-processing-unit-for-scalable-low-power-biodiversity-sensing/?p190615 Application deadline: 9 January 2026. Project start: 1 October 2026.
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