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

Engineering & Materials Science

# Acoustic Waves
# Animals
# Body Sensor Networks
# Classifiers
# Monitoring
# Sensor Networks
# Sensors
# Smartphones

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Pervasive Systems (PS)

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. E. L. , Veldkamp, B. P. , Le, D. V. , Wang, M. , Wijnhoven, F. , Wolterink, J. M. , & Zurita-Milla, R. (2022). Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI & society. https://doi.org/10.1007/s00146-021-01383-x, https://doi.org/10.1007/s00146-021-01383-x

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) [9662642] (International Conference on Indoor Positioning and Indoor Navigation (IPIN); Vol. 2021). IEEE. https://doi.org/10.1109/IPIN51156.2021.9662642

Tran, Q. C. V. , Le, D. V. , Yntema, D. R. , & Havinga, P. J. M. (2021). A Review of Inspection Methods for Continuously Monitoring PVC Drinking Water Mains. IEEE Internet of Things Journal, 1-19. [2327-4662 ]. https://doi.org/10.1109/JIOT.2021.3077246

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

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

Kamminga, J. W. , Le Viet Duc, D. V. , Meijers, J. P., Bisby, H. C. , Meratnia, N. , & Havinga, P. J. M. (2018). Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1), [15]. https://doi.org/10.1145/3191747

Karuppiah Ramachandran, V. R., Alblas, H. J. , Le, D. V. , & Meratnia, N. (2018). Towards an Online Seizure Advisory System - An Adaptive Seizure Prediction Framework Using Active Learning Heuristics. Sensors (Switzerland), 18(6), [1698]. https://doi.org/10.3390/s18061698

Le Viet Duc, D. V. , van Kleunen, W. A. P. , & Havinga, P. J. M. (2018). Method and system for localizing a blind node. (Patent No. WO 2018/070863 A1).

Le, D. V. , Meratnia, N. , & Havinga, P. J. M. (2018). Unsupervised Deep Feature Learning to Reduce the Collection of Fingerprints for Indoor Localization Using Deep Belief Networks. In IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation (pp. 1-7). [8533790] IEEE. https://doi.org/10.1109/IPIN.2018.8533790

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

Nguyen, T., Nguyen, V., Salim, F. , Le Viet Duc, L. D., & Phung, D. (2017). A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive and Mobile Computing, 38, 396-417. https://doi.org/10.1016/j.pmcj.2016.08.019

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

Le, D. V., Nguyen, T. , Scholten, H. , & Havinga, P. J. M. (2017). Symbiotic Sensing for Energy-Intensive Tasks in Large-Scale Mobile Sensing Applications. Sensors (Switzerland), 17(12), [2763]. https://doi.org/10.3390/s17122763

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

Le Viet Duc, D. V. , & Havinga, P. J. M. (2017). SoLoc: Self-organizing indoor localization for unstructured and dynamic environments. In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) IEEE. https://doi.org/10.1109/IPIN.2017.8115900

Nguyen, N. D. T. , Le, D. V. , Meratnia, N. , & Havinga, P. J. M. (2017). In-Pipe Wireless Communication for Underground Sampling and Testing. In 2017 IEEE Global Communications Conference GLOBECOM 2017 https://doi.org/10.1109/GLOCOM.2017.8254524

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

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 5013
Hallenweg 19
7522NH Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling 5013
Postbus 217
7500 AE Enschede

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Pervasive Systems (PS)

Universiteit Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
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