Dr. D.V. Le Viet Duc | People Pages: Find employees & contact details

Dr. Le Viet Duc is Assistant Professor at the Department of Computer Science at the University of Twente. He is broadly interested in bringing Machine Learning and Deep Learning into real-world behavior analytics. In addition to his academia research experience, he also has 10-years R&D experience on smart devices in industry. Inspired by the way human brain learns the world, he is eager to develop a cognitive sensing system that can minimize obtrusiveness and adapt itself to individuals and environments with limited prior knowledge. His focus is on employing recent advances in transfer learning and deep reinforcement learning to find hidden representations from long-term unlabeled data collected in unstructured environments.

Over the years, he has built up his experience in embedded systems, mobile sensing, localization, and deep learning. Examples include an infrastructure-independent framework for robust and reliable sensing in smart cities (best paper award 2012), a novel algorithm for context detection (best paper award 2014) to detect the transition of human activities, and an innovative localization algorithm (patented in 2017) for human and device tracking in unstructured environments.

Besides supervising PhDs and Masters on human and animal behavior monitoring based on location tracking and activity recognition in real world, he is doing research on vital sign detections for human mental monitoring and infrastructure condition monitoring.

Expertise

Computer Science
- Activity Recognition
- Models
- Contexts
- Sensor Networks
- Channel State Information
- Dirichlet Process
- Received Signal Strength
- Accuracy

Organisations

Publications

Jump to: 2024 | 2023 | 2022 | 2021 | 2020

2024

iMoT: Inertial Motion Transformer for Inertial Navigation (2024)[Working paper › Preprint]. ArXiv.org. Nguyen, S. M., Tran, L. D., Le, D. V. & Havinga, P. J. M.https://doi.org/10.48550/arXiv.2412.12190Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localization (2024)[Working paper › Preprint]. ArXiv.org. Nguyen, S. M., Tran, L. D., Le, D. V. & Havinga, P. J. M.https://doi.org/10.48550/arXiv.2412.12189Method for detecting fluid parameters using a flow sensor configuration (2024)[Patent › Patent]. Alveringh, D., Le, D. V., Groenesteijn, J. & Lötters, J. C.https://patents.google.com/patent/NL2034449B1/Seeing the world from its words: All-embracing Transformers for fingerprint-based indoor localization (2024)Pervasive and Mobile Computing, 100. Article 101912. Nguyen, S. M., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1016/j.pmcj.2024.101912

2023

Wi-Gitation: Replica Wi-Fi CSI Dataset for Physical Agitation Activity Recognition (2023)Data, 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/data9010009Fluid classification with integrated flow and pressure sensors using machine learning (2023)Sensors and Actuators A: Physical, 363. Article 114762. Alveringh, D., Le, D. V., Groenesteijn, J., Schmitz, J. & Lötters, J. C.https://doi.org/10.1016/j.sna.2023.114762Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks (2023)In 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-IoT58021.2023.00075Exploring the Impact of Locations and Activities in Person-Wise Data Mismatch in CSI-based HAR (2023)In 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-IoT58021.2023.00048Learning the world from its words: Anchor-agnostic Transformers for Fingerprint-based Indoor Localization (2023)In 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 150-159) (IEEE International Conference on Pervasive Computing and Communications (PerCom); Vol. 2023). IEEE. Nguyen, S. M., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/PERCOM56429.2023.10099376Self-Attention Generative Distribution Adversarial Network for Few- and Zero-Shot Face Anti-Spoofing (2023)In 2022 IEEE International Joint Conference on Biometrics (IJCB). IEEE (Accepted/In press). Nguyen, S. M., Tran, L. D., Le, D. V. & Masayuki, A.https://doi.org/10.1109/IJCB54206.2022.10007986

2022

Testbed Hardware Design to Collect Data for Underground PVC Water Pipe Crack Detection: Challenges and Solutions (2022)[Contribution to conference › Paper] 5th International SenSys/BuildSys Workshop on Data, DATA 2022. Tran, Q. C. V., Le, D. V., Yntema, D. R. & Havinga, P. J. M.https://doi.org/10.1145/3560905.3567765Efficient talking in underground water pipelines (2022)[Contribution to conference › Poster] 5th IFIP International Internet of Things Conference, IoT 2022. Tran, Q. C. V., Nguyen, D. T. N., Le, D. V., Yntema, D. R. & Havinga, P. J. M.Self-diagnostic PVC pipes for capturing threats in underground water pipelines (2022)[Contribution to conference › Poster] 5th IFIP International Internet of Things Conference, IoT 2022. Tran, Q. C. V., Le, D. V., Yntema, D. R. & Havinga, P. J. M.A Review of Inspection Methods for Continuously Monitoring PVC Drinking Water Mains (2022)IEEE Internet of Things Journal, 9(16), 14336-14354. Article 2327-4662 . Tran, Q. C. V., Le, D. V., Yntema, D. R. & Havinga, P. J. M.https://doi.org/10.1109/JIOT.2021.3077246Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle (2022)AI & society, 38(4), 1465-1484. Borsci, S., Lehtola, V. V., Nex, F. C., Yang, M. Y., Augustijn, P. W. M., Bagheriye, L., Brune, C., Kounadi, O., Li, J. J., Rebelo Moreira, J. L., Van der Nagel, J., Veldkamp, B. P., Le, D. V., Wang, M., Wijnhoven, F., Wolterink, J. M. & Zurita-Milla, R.https://doi.org/10.1007/s00146-021-01383-xTrade-Off Analysis of Pruning Methods for Compact Neural Networks on Embedded Devices (2022)In Internet of Things. IoT through a Multi-disciplinary Perspective: 5th IFIP International Cross-Domain Conference, IFIPIoT 2022, Amsterdam, The Netherlands, October 27–28, 2022, Proceedings (pp. 274-292) (IFIP Advances in Information and Communication Technology; Vol. 665). Springer. Hofstee, S. B. H. C. & Le, D. V.https://doi.org/10.1007/978-3-031-18872-5_16

2021

Completely Automated CNN Architecture Design Based on VGG Blocks for Fingerprinting Localisation (2021)In 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN). Article 9662642 (International Conference on Indoor Positioning and Indoor Navigation (IPIN); Vol. 2021). IEEE. Shreya, S. & Le, D. V.https://doi.org/10.1109/IPIN51156.2021.9662642

2020

Towards Deep Unsupervised Representation Learning from Accelerometer Time Series for Animal Activity Recognition (2020)[Contribution to conference › Paper] 6th Workshop on Mining and Learning from Time Series, MiLeTS 2020. Kamminga, J. W., Meratnia, N., Le, D. V. & Havinga, P. J. M.

Research profiles

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Courses academic year 2023/2024

Address

University of Twente

Zilverling (building no. 11), room 5013
Hallenweg 19
7522 NH Enschede
Netherlands

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