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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

Smartphones
Sensors
Animals
Acoustic Waves
Experiments
Classifiers
Sensor Networks
Feature Extraction

Publications

Recent
Le, D. V. , Van Kleunen, W. A. P., Nguyen, T. , Meratnia, N. , & Havinga, P. J. M. (2018). SomBe: Self-Organizing Map for Unstructured and Non-Coordinated iBeacon Constellations. In 2018 IEEE International Conference on Pervasive Computing and Communications, PerCom 2018 [8444584] IEEE. https://doi.org/10.1109/PERCOM.2018.8444584
Tran, T. X. , Le, D. V., Yue, G., & Pompili, D. (2018). Cooperative Hierarchical Caching and Request Scheduling in a Cloud Radio Access Network. IEEE Transactions on Mobile Computing, 17(12), 2729-2743. [8323203]. https://doi.org/10.1109/TMC.2018.2818723
Le, D. V., Nguyen, T. , Scholten, H. , & Havinga, P. J. M. (2018). Probability of Task Completion and Energy Consumption in Cooperative Pervasive Mobile Computing. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (pp. 34-39). [8480135] IEEE. https://doi.org/10.1109/PERCOMW.2018.8480135
Le, D. V. , Kamminga, J. , Scholten, H. , & Havinga, P. J. M. (2018). A Framework to Measure Reliance of Acoustic Latency on Smartphone Status. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 (pp. 348-354). [8480354] IEEE. https://doi.org/10.1109/PERCOMW.2018.8480354
Karuppiah Ramachandran, V. R. , Le Viet Duc, L. D. , Meratnia, N. , & Havinga, P. J. M. (2017). DiNAMAC: A disruption tolerant, reinforcement learning-based Mac protocol for implantable body sensor networks. In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 1806-1814) https://doi.org/10.1109/UIC-ATC.2017.8397664
Nguyen, T. , Le Viet Duc, D. V., Zhang, Q., & Karunanithi, M. (2017). Dirichlet Process Gaussian Mixture Model for Activity Discovery in Smart Homes with Ambient Sensors. In EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous) European Alliance for Innovation. https://publications.csiro.au/rpr/pub?pid=csiro:EP173997
Kamminga, J. W., Bisby, H. C. , Le, D. V. , Meratnia, N. , & Havinga, P. J. M. (2017). Generic online animal activity recognition on collar tags. In UbiComp'17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 597-606). ACM Press. https://doi.org/10.1145/3123024.3124407
van Kleunen, W. A. P. , Le Viet Duc, L. D. , & Havinga, P. J. M. (2016). Calibration-Free Signal-Strength Localization using Product-Moment Correlation. In Proceedings of the 13th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS 2016) (pp. 210-218). IEEE Computer Society. https://doi.org/10.1109/MASS.2016.17
Le Viet Duc, D. V. , Kamminga, J. W. , Scholten, J. , & Havinga, P. J. M. (2016). Nondeterministic Sound Source Localization with Smartphones in Crowdsensing. In V. D. Le, & L. D. Le Viet Duc (Eds.), Proceedings of the 5th CoSDEO workshop on Contact-Free Ambient Sensing, Localization and Tracking, CoSDEO 2016 (pp. 279-285). IEEE Computer Society. https://doi.org/10.1109/PERCOMW.2016.7457115
Le Viet Duc, D. V. , Kamminga, J. W. , Scholten, J. , & Havinga, P. J. M. (2016). Error Bounds for Localization with Noise Diversity. In V. D. Le (Ed.), 2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) (pp. 83-92). IEEE Communications Society. https://doi.org/10.1109/DCOSS.2016.18

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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