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dr. D.V. Le Viet Duc (Duc)

Assistant Professor

About Me

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

Engineering & Materials Science
Acoustic Waves
Animals
Pipe
Polyvinyl Chlorides
Sensors
Smartphones
Testbeds
Water Pipelines

Publications

Recent
Nguyen, N. D. T. , Le, D. V. , & Havinga, P. J. M. (2023). Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks. In Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 (pp. 437-444). IEEE. https://doi.org/10.1109/DCOSS-IoT58021.2023.00075
Sharma, N. , Le, D. V. , & Havinga, P. J. M. (2023). Exploring the Impact of Locations and Activities in Person-Wise Data Mismatch in CSI-based HAR. In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 232-239) https://doi.org/10.1109/DCOSS-IoT58021.2023.00048
Nguyen, S. M. , Le, D. V. , & Havinga, P. J. M. (2023). Learning the world from its words: Anchor-agnostic Transformers for Fingerprint-based Indoor Localization. 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. https://doi.org/10.1109/PERCOM56429.2023.10099376
Hofstee, S. B. H. C. , & Le, D. V. (2022). Trade-Off Analysis of Pruning Methods for Compact Neural Networks on Embedded Devices. In L. M. Camarinha-Matos, L. Ribeiro, & L. Strous (Eds.), 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. https://doi.org/10.1007/978-3-031-18872-5_16
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/10.1145/3560905.3567765
Nguyen, S. M., Tran, L. D. , Le, D. V., & Masayuki, A. (Accepted/In press). Self-Attention Generative Distribution Adversarial Network for Few- and Zero-Shot Face Anti-Spoofing. In 2022 IEEE International Joint Conference on Biometrics (IJCB) IEEE. https://doi.org/10.1109/IJCB54206.2022.10007986
Shreya, S. , & Le, D. V. (2021). Completely Automated CNN Architecture Design Based on VGG Blocks for Fingerprinting Localisation. 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. https://doi.org/10.1109/IPIN51156.2021.9662642

UT Research Information System

Google Scholar Link

Affiliated Study Programmes

Bachelor

Courses Academic Year  2023/2024

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  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5013
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5013
P.O. Box 217
7500 AE Enschede
The Netherlands