Expertises
Engineering & Materials Science
# Animals
# Internet Of Things
# Monitoring
# Network Protocols
# Sensor Nodes
# Sensors
# Smartphones
# Wireless Sensor Networks
Verbonden aan
Nevenactiviteiten
-
Inertia Technology
scientific advisor -
Locus Positioning
Advisor R&D -
Stichting Twente47
vice president
Publicaties
Recent
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. (2023).
Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks.
Scientific reports,
13(1), 740. [740].
https://doi.org/10.1038/s41598-023-27899-4
Darbandi, H., Braganca, F. S.
, van der Zwaag, B. J.
, & Havinga, P. (2022).
Accurate Horse Gait Event Estimation Using an Inertial Sensor Mounted on Different Body Locations. In
Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (pp. 329-335). (Proceedings IEEE International Conference on Smart Computing, SMARTCOMP; Vol. 2022). IEEE.
https://doi.org/10.1109/SMARTCOMP55677.2022.00076
Klein Brinke, J.
, Chiumento, A.
, & Havinga, P. J. M. (Accepted/In press).
Joint Communication and Sensing for Human Activity Recognition in Wi-Fi 6E. 1-5. Poster session presented at 5th IFIP International Internet of Things Conference, IoT 2022, Amsterdam, Netherlands.
Darbandi, H., Serra Bragança, F. M.
, van der Zwaag, B. J., Rhodin, M., Hernlund, E., Hobbs, S. J., Clayton, H. M.
, & Havinga, P. J. M. (2022).
Estimation of hoof-on/off moments using inertial sensors and deep learning.
Comparative Exercise Physiology,
18(Suppl. 1), S54-S54.
https://doi.org/10.3920/cep2022.s1
Darbandi, H., Munsters, C. B. M.
, Parmentier, J. I. M.
, & Havinga, P. J. M. (2022).
Quantitative detection of fatigue in sport horses using inertial sensors and machine learning.
Comparative Exercise Physiology,
18(Suppl. 1), S55-S55.
https://doi.org/10.3920/cep2022.s1
Kapousizis, G.
, Ulak, M. B.
, Geurs, K.
, & Havinga, P. J. M. (2022).
Level of smartness and technology readiness of bicycle technologies affecting cycling safety: A review of literature. 141-143. Abstract from 10th International Cycling Safety Conference 2022 (ICSC2022), Dresden , Saxony, Germany.
https://doi.org/10.25368/2022.462
Tran, Q. C. V.
, Le, D. V.
, Yntema, D. R.
, & Havinga, P. J. M. (Accepted/In press).
Self-diagnostic PVC pipes for capturing threats in un-derground water pipelines. 1-5. Poster session presented at 5th IFIP International Internet of Things Conference, IoT 2022, Amsterdam, Netherlands.
Tran, Q. C. V.
, Nguyen, D. T. N.
, Le, D. V.
, Yntema, D. R.
, & Havinga, P. J. M. (Accepted/In press).
Efficient talking in underground water pipelines. 1-5. Poster session presented at 5th IFIP International Internet of Things Conference, IoT 2022, Amsterdam, Netherlands.
Tran, Q. C. V.
, Le, D. V.
, Yntema, D. R.
, & Havinga, P. J. M. (Accepted/In press).
Testbed Hardware Design to Collect Data for Underground PVC Water Pipe Crack Detection: Challenges and Solutions. 1-5. Paper presented at 5th International SenSys/BuildSys Workshop on Data, DATA 2022, Boston, Massachusetts, United States.
https://doi.org/10.4121/21340608.v1,
https://doi.org/10.1145/3560905.3567765
Zia, K.
, Chiumento, A.
, & Havinga, P. J. M. (2022).
AI-Enabled Reliable QoS in Multi-RAT Wireless IoT Networks: Prospects, Challenges, and Future Directions.
IEEE Open Journal of the Communications Society,
3(2022), 1906 - 1929. [9924256].
https://doi.org/10.1109/OJCOMS.2022.3215731
Parmentier, J. I. M.
, Zwaag, B. J. V. D., Weishaupt, M. A., Gmel, A. I.
, Havinga, P. J. M., van Weeren, P. R., & Serra Bragança, F. M. (2022).
Prediction of kinetic parameters from body mounted IMU data using recurrent neural networks.
Comparative Exercise Physiology,
18(Suppl. 1), S45-S45.
https://doi.org/10.3920/cep2022.s1
Bosch, S. (2022).
Pushing the limits of inertial motion sensing. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente.
https://doi.org/10.3990/1.9789036554350
Darbandi, H.
, & Havinga, P. J. M. (2022).
A Machine Learning Approach to Analyze Rider’s Effects on Horse Gait Using On-Body Inertial Sensors. 20th International Conference on Pervasive Computing and Communications, PerCom 2022, Pisa, Italy.
https://www.bing.com/videos/search?q=A+Machine+Learning+Approach+to+Analyze+Rider%e2%80%99s+Effects+on+Horse+Gait+Using+On-Body+Inertial+Sensors&qpvt=A+Machine+Learning+Approach+to+Analyze+Rider%e2%80%99s+Effects+on+Horse+Gait+Using+On-Body+Inertial+Sensors&view=detail&mid=2D9C40DCF18A660190782D9C40DCF18A66019078&&FORM=VRDGAR&ru=%2Fvideos%2Fsearch%3Fq%3DA%2BMachine%2BLearning%2BApproach%2Bto%2BAnalyze%2BRider%25e2%2580%2599s%2BEffects%2Bon%2BHorse%2BGait%2BUsing%2BOn-Body%2BInertial%2BSensors%26qpvt%3DA%2BMachine%2BLearning%2BApproach%2Bto%2BAnalyze%2BRider%25e2%2580%2599s%2BEffects%2Bon%2BHorse%2BGait%2BUsing%2BOn-Body%2BInertial%2BSensors%26FORM%3DVDRE
Tran, Q. C. V.
, Le, D. V.
, Yntema, D. R.
, & Havinga, P. J. M. (2022).
A Review of Inspection Methods for Continuously Monitoring PVC Drinking Water Mains.
IEEE Internet of Things Journal,
9(16), 14336-14354. [2327-4662 ].
https://doi.org/10.1109/JIOT.2021.3077246
Wang, W. (2021).
Seeing with the sound: Sound-based human-context recognition using machine learning. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente.
https://doi.org/10.3990/1.9789036552936
Ullah, I., de Roode, G.
, Meratnia, N.
, & Havinga, P. (2021).
Threat Modeling — How to Visualize Attacks on IOTA?
Sensors (Switzerland),
21(5), [1834].
https://doi.org/10.3390/s21051834
Brady, M. A.
, Ullah, I.
, & Havinga, P. J. M. (2021).
DOSing Distributed Ledger Technology: IOTA. In
2021 IEEE 5th International Conference on Cryptography, Security and Privacy (CSP) (pp. 55-61). [9357600] IEEE.
https://doi.org/10.1109/CSP51677.2021.9357600
Darbandi, H., Bragança, F. S.
, van der Zwaag, B. J., Voskamp, J., Gmel, A. I., Haraldsdóttir, E. H.
, & Havinga, P. (2021).
Using different combinations of body-mounted IMU sensors to estimate speed of horses: A machine learning approach.
Sensors (Switzerland),
21(3), [798].
https://doi.org/10.3390/s21030798
Anbalagan, S. N., Litjens, R.
, Das, K.
, Chiumento, A.
, Havinga, P. J. M.
, & van den Berg, H. L. (2021).
A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction. In
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) [9448944] (IEEE Vehicular Technology Conference, VTC; Vol. 2021). IEEE.
https://doi.org/10.1109/VTC2021-Spring51267.2021.9448944
Mijuskovic, A.
, Chiumento, A.
, Bemthuis, R.
, Aldea, A.
, & Havinga, P. (2021).
Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification.
Sensors (Switzerland),
21(5), [1832].
https://doi.org/10.3390/s21051832
Klein Brinke, J.
, Chiumento, A.
, & Havinga, P. J. M. (2021).
Personal Hygiene Monitoring Under the Shower Using Wi-Fi Channel State Information. In R-H. Liang, A. Chiumento, P. Pawełczak, & M. Funk (Eds.),
CHIIoT 2021: Workshops on Computer Human Interaction in IoT Applications CEUR.
http://ceur-ws.org/Vol-2996/
Mijuskovic, A.
, Ullah, I.
, Bemthuis, R.
, Meratnia, N.
, & Havinga, P. J. M. (2021).
Comparing Apples and Oranges in IoT context: A deep dive into methods for comparing IoT platforms.
IEEE Internet of Things Journal,
8(3), 1797-1816. [9169714].
https://doi.org/10.1109/JIOT.2020.3016921
Bemthuis, R.
, Mes, M.
, Iacob, M. E.
, & Havinga, P. J. M. (2021).
Using agent-based simulation for emergent behavior detection in cyber-physical systems. In K-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.),
Proceedings of the 2020 Winter Simulation Conference, WSC (pp. 230-241). [9383956] IEEE.
https://doi.org/10.1109/WSC48552.2020.9383956
Bemthuis, R.
, Iacob, M-E.
, & Havinga, P. (2020).
A Design of the Resilient Enterprise: A Reference Architecture for Emergent Behaviors Control.
Sensors (Switzerland),
20(22), [6672].
https://doi.org/10.3390/s20226672
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Vakken Collegejaar 2022/2023
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2021/2022
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 5001
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
5001
Postbus 217
7500 AE Enschede