Prof.dr.ing Paul J.M. Havinga is full professor in the Computer Science department at the University of Twente in the Netherlands, and Director Science at TNO - ICT. He received his PhD at the University of Twente on the thesis entitled “Mobile Multimedia Systems” in 2000. He is also a guest professor Smart IoT systems at the Nanchang University in China.

Paul Havinga has a broad background in various aspects of communication systems: on wireless communication, on chip-area network architectures for handheld devices, mobile multimedia systems, QoS over wireless networks, reconfigurable computing, and on interconnection architectures for multiprocessor systems.

Currently his research themes have focussed on: wireless sensor networks, Internet of Things, distributed networked systems, and energy-efficient wireless communication. The common theme in these areas is on the development of large-scale, heterogeneous, wireless, distributed systems. Research questions cover architectures, protocols, programming paradigms, algorithms, and applications. This research has resulted in over 500 scientific publications in journals and conferences, and 8 patents. He is regularly invited for keynote presentations on this work.

He has a significant experience as project manager in several international research projects on wireless sensor networks. In 2001 he initiated the first European project on wireless sensor networks (2001 – 2004). Many research projects on sensor networks followed, all addressing different aspects of wireless sensor networks and IoT. He was initiator and project coordinator of several large European projects, and coordinator of many national projects.

He is co-founder of several high-tech companies all resulting from the research on wireless sensor networking. In 2004 he founded the company Ambient Systems B.V. as one of the pioneering companies in that domain. In 2008 he co-founded Inertia Technology, on wireless motion sensing. TerraTeq, founded in 2014, is developing wireless sensing systems for environmental and animal monitoring. In 2015 he founded Locus Positioning which develops indoor positioning technologies that provides the possibility to track assets and people and provide navigation in (indoor) environments.

In May 2007 he received the ICT Innovation Award for the successful transfer of knowledge from university to industrial use. In June 2007 he received the “Van den Kroonenberg award” for being a successful innovative entrepreneur.

Expertise

  • Computer Science

    • Wireless Sensor Network
    • Internet of Things
    • Activity Recognition
    • Models
    • Application
    • Sensor
    • Accuracy
    • Energy Efficient

Organisations

Publications

2024
Seeing the world from its words: All-embracing Transformers for fingerprint-based indoor localizationPervasive and Mobile Computing, 100, Article 101912 (E-pub ahead of print/First online). Nguyen, S. M., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1016/j.pmcj.2024.101912Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTMIn 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Article 10502681 (pp. 587-592). IEEE. Smit, G. d., Yeleshetty, D., Havinga, P. J. M. & Huang, Y.https://doi.org/10.1109/PerComWorkshops59983.2024.10502681Emergent Behaviors in a Resilient Logistics Supply Chain. University of Twente. Bemthuis, R. H.https://doi.org/10.3990/1.9789036560733Assessing the Health Impact of Disinfection Byproducts in Drinking WaterACS Environmental Science and Technology Water, 4(4), Article 3c00664, 1564-1578 (E-pub ahead of print/First online). Kalita, I., Kamilaris, A., Havinga, P. J. M. & Reva, I.https://doi.org/10.1021/acsestwater.3c00664Assessing Factory’s Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network AnalysisProcedia computer science, 232, 2730-2739. Anbalagan, S. N., Schwarz, M., Bemthuis, R. & Havinga, P. J. M.https://doi.org/10.1016/j.procs.2024.02.090Are We in Flow? Measuring and Supporting Simultaneous Flow in Duos of Elderly Cyclists. Boot, M., Kahnt, L., Postma, D., Ulak, B., Geurs, K. & Havinga, P.Sensing the care: Advancing unobtrusive sensing solutions to support informal caregivers of older adults with cognitive impairment. University of Twente. Sharma, N.https://doi.org/10.3990/1.9789036559942Using body sensors for evaluating the impact of smart cycling technologies on cycling experiences: a systematic literature review and conceptual frameworkEuropean transport research review, 16, Article 13 (E-pub ahead of print/First online). Boot, M., Ulak, M. B., Geurs, K. T. & Havinga, P. J. M.https://doi.org/10.1186/s12544-024-00635-3
2023
Wi-Gitation: Replica Wi-Fi CSI Dataset for Physical Agitation Activity RecognitionData, 9(1), Article 9. Sharma, N., Brinke, J. K., Jansen, L. M. A. B., Havinga, P. J. M. & Le, D. V.https://doi.org/10.3390/data9010009Governance of a Blockchain-Enabled IoT Ecosystem: A Variable Geometry ApproachSensors, 23(22), Article 9031. Ullah, I. & Havinga, P. J. M.https://doi.org/10.3390/s23229031VarOLLA: Maximizing Throughput for 5G-RedCap Devices in IIoT NetworksIn IEEE 9th World Forum on Internet of Things 2023 (Accepted/In press). Anbalagan, S. N., Havinga, P. J. M. & Chiumento, A.Improving piglets health and well-being: A review of piglets health indicators and related sensing technologiesSmart Agricultural Technology, 5, Article 100246. Sadeghi, E., Kappers, C., Chiumento, A., Derks, M. & Havinga, P.https://doi.org/10.1016/j.atech.2023.100246QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT NetworksIn QoS Aware Slice Resource Management Using Deep Reinforcement Learning in IoT Networks (pp. 150-154). Zia, K., Chiumento, A., Havinga, P. J. M., Riggio, R. & Huang, Y.https://doi.org/10.1109/DCOSS-IoT58021.2023.00035Exploring the Impact of Locations and Activities in Person-Wise Data Mismatch in CSI-based HARIn 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 232-239). Sharma, N., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/DCOSS-IoT58021.2023.00048Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa NetworksIn Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 437-444). IEEE. Nguyen, N. D. T., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/DCOSS-IoT58021.2023.00075Using body sensors in evaluations of the impact of smart cycling technologies on cycling experienceIn MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, Article 43 (pp. 1-4). Boot, M., Ulak, B., Geurs, K. & Havinga, P.https://doi.org/10.1145/3565066.3609736Channel State Information for Human Activity Recognition with Low Sampling RatesIn UMUM 2023: 2nd Workshop on Ubiquitous and Multi-domain User Modeling (pp. 614-620). Klein Brinke, J., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops56833.2023.10150403Autonomous Network Slicing and Resource Management for Diverse QoS in IoT NetworksIn 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 160-165). IEEE. Amur, S. H., Zia, K., Chiumento, A. & Havinga, P. J. M.https://doi.org/10.1109/PerComWorkshops56833.2023.10150306A review of state-of-the-art bicycle technologies affecting cycling safety: Level of smartness and technology readinessTransport reviews, 43(3), 430-452. Kapousizis, G., Ulak, M. B., Geurs, K. & Havinga, P. J. M.https://doi.org/10.1080/01441647.2022.2122625Learning the world from its words: Anchor-agnostic Transformers for Fingerprint-based Indoor LocalizationIn 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 150-159). IEEE. Nguyen, S. M., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/PERCOM56429.2023.10099376Detecting fatigue of sport horses with biomechanical gait features using inertial sensorsPLoS ONE, 18(4), Article e0284554. Darbandi, H., Munsters, C., Parmentier, J. I. M. & Havinga, P. J. M.https://doi.org/10.1371/journal.pone.0284554Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networksScientific reports, 13(1), Article 740, 740. Parmentier, J. I. M., Bosch, S., Zwaag, B. J. v. d., Weishaupt, M. A., Gmel, A. I., Havinga, P. J. M., Weeren, P. R. v. & Serra Bragança, F. M.https://doi.org/10.1038/s41598-023-27899-4Business rule extraction using decision tree machine learning techniques: A case study into smart returnable transport itemsProcedia computer science, 220, 446-455. Bemthuis, R. H., Wang, W., Iacob, M. E. & Havinga, P. J. M.https://doi.org/10.1016/j.procs.2023.03.057E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light. Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. J. M. & Huang, Y.
2022

Research profiles

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