By Dr Van Duc Le

Book Chapters

Le DV; Zhou S; Yang JQ; Chen J; Ho D; Tan R, 2024, 'Artificial Intelligence of Things for industrial Visual sensing systems in HP's factories', in Digital Manufacturing, Elsevier, pp. 133 - 168, http://dx.doi.org/10.1016/b978-0-443-13812-6.00003-8

Thi-Nga D; Ta CH; Vu VS; Le DV, 2020, 'An Optimal Packet Assignment Algorithm for Multi-level Network Intrusion Detection Systems', in , pp. 301 - 313, http://dx.doi.org/10.1007/978-3-030-63083-6_23

Ahmed MS; Van Le D; Yoon S, 2016, 'A multiple path-metrics based multi-path routing protocol for providing differentiated QoS to various data traffic', in , pp. 11 - 21, http://dx.doi.org/10.1007/978-3-319-24584-3_2

Journal articles

Zhou S; Le DV; Jiang L; Chen Z; Peng X; Ho D; Zheng J; Tan R, 2025, 'RoboCam: Model-Based Robotic Visual Sensing for Precise Inspection of Mesh Screens', ACM Transactions on Sensor Networks, 21, pp. 1 - 23, http://dx.doi.org/10.1145/3715913

Luong NC; Huynh-The T; Vu TH; Le DV; Nguyen HT; Hai ND; Nguyen GV; Anh NDD; Niyato D; Kim DI; Pham QV, 2025, 'Advanced Learning Algorithms for Integrated Sensing and Communication (ISAC) Systems in 6G and Beyond: A Comprehensive Survey', IEEE Communications Surveys and Tutorials, http://dx.doi.org/10.1109/COMST.2025.3584333

Chen J; Van Le D; Tan R; Ho D, 2024, 'A Collaborative Visual Sensing System for Precise Quality Inspection at Manufacturing Lines', ACM Transactions on Cyber Physical Systems, 8, http://dx.doi.org/10.1145/3643136

Chen J; Van Le D; Tan R; Ho D, 2024, 'NNFacet: Splitting Neural Network for Concurrent Smart Sensors', IEEE Transactions on Mobile Computing, 23, pp. 1627 - 1640, http://dx.doi.org/10.1109/TMC.2023.3238342

Le DV; Yang JQ; Zhou S; Ho D; Tan R, 2024, 'Design, Deployment, and Evaluation of an Industrial AIoT System for Quality Control at HP Factories', ACM Transactions on Sensor Networks, 20, pp. 1 - 19, http://dx.doi.org/10.1145/3618300

Van Le D; Zhou J; Wang R; Tan R; Duan F, 2024, 'Impacts of Increasing Temperature and Relative Humidity in Air-Cooled Tropical Data Centers', IEEE Transactions on Sustainable Computing, 9, pp. 790 - 802, http://dx.doi.org/10.1109/TSUSC.2024.3379550

Zhou J; Kanbur BB; Van Le D; Tan R; Duan F, 2024, 'Thermoeconomic assessment of the air-cooled tropical data center through energy-saving strategies', Energy and Built Environment, http://dx.doi.org/10.1016/j.enbenv.2024.07.006

Hoa NT; Van Dai D; Lan LH; Luong NC; Van Le D; Niyato D, 2023, 'Deep Reinforcement Learning for Multi-Hop Offloading in UAV-Assisted Edge Computing', IEEE Transactions on Vehicular Technology, 72, pp. 16917 - 16922, http://dx.doi.org/10.1109/TVT.2023.3292815

Zhou S; Van Le D; Tan R; Yang JQ; Ho D, 2023, 'Configuration-Adaptive Wireless Visual Sensing System With Deep Reinforcement Learning', IEEE Transactions on Mobile Computing, 22, pp. 5078 - 5091, http://dx.doi.org/10.1109/TMC.2022.3175182

Dao TN; Le DV; Tran XN, 2023, 'Optimal network intrusion detection assignment in multi-level IoT systems', Computer Networks, 232, http://dx.doi.org/10.1016/j.comnet.2023.109846

Zhou J; Kanbur BB; Le DV; Tan R; Duan F, 2023, 'Multi-criteria assessments of increasing supply air temperature in tropical data center', Energy, 271, http://dx.doi.org/10.1016/j.energy.2023.127043

Liu Y; Le DV; Tan R, 2022, 'A data-assisted first-principle approach to modeling server outlet temperature in air free-cooled data centers', Future Generation Computer Systems, 129, pp. 225 - 235, http://dx.doi.org/10.1016/j.future.2021.12.003

Van Le D; Liu Y; Wang R; Tan R; Ngoh LH, 2022, 'Air Free-Cooled Tropical Data Center: Design, Evaluation, and Learned Lessons', IEEE Transactions on Sustainable Computing, 7, pp. 579 - 594, http://dx.doi.org/10.1109/TSUSC.2021.3132927

Wang R; Van Le D; Tan R; Wong YW, 2022, 'Real-Time Cooling Power Attribution for Co-Located Data Center Rooms with Distinct Temperatures and Humidities', ACM Transactions on Cyber Physical Systems, 6, http://dx.doi.org/10.1145/3494578

Le DV; Wang R; Liu Y; Tan R; Wong YW; Wen Y, 2021, 'Deep reinforcement learning for tropical air free-cooled data center control', ACM Transactions on Sensor Networks, 17, http://dx.doi.org/10.1145/3439332

Dao TN; Le DV; Yoon S, 2019, 'Predicting human location using correlated movements', Electronics Switzerland, 8, http://dx.doi.org/10.3390/electronics8010054

Van Le D; Tham CK, 2018, 'Quality of service aware computation offloading in an ad-hoc mobile cloud', IEEE Transactions on Vehicular Technology, 67, pp. 8890 - 8904, http://dx.doi.org/10.1109/TVT.2018.2852330

Van Le D; Oh H; Yoon S, 2016, 'A prediction-based approach to moving-phenomenon monitoring using mobile sensor nodes', IEICE Transactions on Communications, E99B, pp. 1754 - 1762, http://dx.doi.org/10.1587/transcom.2015CCP0025

Van Le D; Oh H; Yoon S, 2016, 'Environment Learning-Based Coverage Maximization With Connectivity Constraints in Mobile Sensor Networks', IEEE Sensors Journal, 16, pp. 3958 - 3971, http://dx.doi.org/10.1109/JSEN.2016.2537840

Le DV; Oh H; Yoon S, 2015, 'VirFID: A Virtual Force (VF)-based Interest-Driven moving phenomenon monitoring scheme using multiple mobile sensor nodes', Ad Hoc Networks, 27, pp. 112 - 132, http://dx.doi.org/10.1016/j.adhoc.2014.12.002

Van Le D; Oh H; Yoon S, 2014, 'HiCoDG: A hierarchical data-gathering scheme using cooperative multiple mobile elements', Sensors Switzerland, 14, pp. 24278 - 24304, http://dx.doi.org/10.3390/s141224278

Nguyen TT; Van Le D; Yoon S, 2014, 'Maximization of the supportable number of sensors in QoS-aware cluster-based underwater acoustic sensor networks', Sensors Switzerland, 14, pp. 4689 - 4711, http://dx.doi.org/10.3390/s140304689

Van Le D; Oh H; Yoon S, 2013, 'RoCoMAR: Robots' Controllable Mobility Aided Routing and relay architecture for mobile sensor networks', Sensors Switzerland, 13, pp. 8695 - 8721, http://dx.doi.org/10.3390/s130708695

Conference Papers

Zhou S; Van Le D; Tan R, 2025, 'Demo Abstract: Edge-Cloud Switched Image Segmentation for Autonomous Vehicles', in Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, ACM, pp. 724 - 725, presented at SenSys '25: 23rd ACM Conference on Embedded Networked Sensor Systems, http://dx.doi.org/10.1145/3715014.3724378

Zhou S; Van Le D; Tan R, 2024, 'ECSeg: Edge-Cloud Switched Image Segmentation for Autonomous Vehicles', in 2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), IEEE, pp. 1 - 9, presented at 2024 21st Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 02 December 2024 - 04 December 2024, http://dx.doi.org/10.1109/secon64284.2024.10934820

Van Le D; Tan R, 2024, 'An Optimization Approach for Selection and Deployment of Energy-Efficient Servers in Green Data Centers', in The 15th ACM International Conference on Future and Sustainable Energy Systems, ACM, pp. 498 - 505, presented at e-Energy '24: The 15th ACM International Conference on Future and Sustainable Energy Systems, http://dx.doi.org/10.1145/3632775.3662829

Wang R; Van Le D; Tan R, 2024, 'Two Tropical Data Center Testbeds and Data Yields from 2018 to 2024', in The 15th ACM International Conference on Future and Sustainable Energy Systems, ACM, pp. 476 - 477, presented at e-Energy '24: The 15th ACM International Conference on Future and Sustainable Energy Systems, http://dx.doi.org/10.1145/3632775.3661973

Chen J; Van Le D; Tan R; Ho D, 2023, 'BubCam: A Vision System for Automated Quality Inspection at Manufacturing Lines', in Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), ACM, pp. 12 - 21, presented at ICCPS '23: ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), http://dx.doi.org/10.1145/3576841.3585926

Zhou S; Le DV; Qiping Yang J; Tan R; Ho D, 2021, 'EFCam: Configuration-Adaptive Fog-Assisted Wireless Cameras with Reinforcement Learning', in 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), IEEE, pp. 1 - 9, presented at 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 06 July 2021 - 09 July 2021, http://dx.doi.org/10.1109/secon52354.2021.9491609

Yang JQ; Zhou S; Van Le D; Ho D; Tan R, 2021, 'Improving Quality Control with Industrial AIoT at HP Factories: Experiences and Learned Lessons', in 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), IEEE, pp. 1 - 9, presented at 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 06 July 2021 - 09 July 2021, http://dx.doi.org/10.1109/secon52354.2021.9491592

Chen J; Van Le D; Tan R; Ho D, 2021, 'Split Convolutional Neural Networks for Distributed Inference on Concurrent IoT Sensors', in Proceedings of the International Conference on Parallel and Distributed Systems ICPADS, pp. 66 - 73, http://dx.doi.org/10.1109/ICPADS53394.2021.00014

Van Le D; Liu Y; Wang R; Tan R; Ngoh LH, 2020, 'Experiences and Learned Lessons from an Air Free-Cooled Tropical Data Center Testbed', in Buildsys 2020 Proceedings of the 7th ACM International Conference on Systems for Energy Efficient Buildings Cities and Transportation, pp. 160 - 169, http://dx.doi.org/10.1145/3408308.3427628

Wang R; Van Le D; Tan R; Wong YW; Wen Y, 2020, 'Real-Time Cooling Power Attribution for Co-Located Data Center Rooms with Distinct Temperatures', in Buildsys 2020 Proceedings of the 7th ACM International Conference on Systems for Energy Efficient Buildings Cities and Transportation, pp. 190 - 199, http://dx.doi.org/10.1145/3408308.3427607

Van Le D; Liu Y; Wang R; Tan R; Wong YW; Wen Y, 2019, 'Control of air free-cooled data centers in tropics via deep reinforcement learning', in Buildsys 2019 Proceedings of the 6th ACM International Conference on Systems for Energy Efficient Buildings Cities and Transportation, pp. 306 - 315, http://dx.doi.org/10.1145/3360322.3360845

Van Le D; Liu Y; Wang R; Tan R; Ngoh LH, 2018, 'A testbed and data yields for studying data center energy efficiency and reliability', in Data 2018 Proceedings of the 1st Workshop on Data Acquisition to Analysis Part of Sensys 2018, pp. 17 - 18, http://dx.doi.org/10.1145/3277868.3277877

Van Le D; Tham CK, 2018, 'A deep reinforcement learning based offloading scheme in ad-hoc mobile clouds', in INFOCOM 2018 IEEE Conference on Computer Communications Workshops, pp. 760 - 765, http://dx.doi.org/10.1109/INFCOMW.2018.8406881

Le DV; Tham CK, 2017, 'Machine learning (Ml)-based air quality monitoring using vehicular sensor networks', in Proceedings of the International Conference on Parallel and Distributed Systems ICPADS, pp. 65 - 72, http://dx.doi.org/10.1109/ICPADS.2017.00020

Van Le D; Tham CK; Zhu Y, 2017, 'Quality of Information (QoI)-aware cooperative sensing in vehicular sensor networks', in 2017 IEEE International Conference on Pervasive Computing and Communications Workshops Percom Workshops 2017, pp. 369 - 374, http://dx.doi.org/10.1109/PERCOMW.2017.7917590

Le DV; Tham CK, 2017, 'An Optimization-Based Approach to Offloading in Ad-Hoc Mobile Clouds', in Proceedings IEEE Global Communications Conference Globecom, pp. 1 - 6, http://dx.doi.org/10.1109/GLOCOM.2017.8254632

Van Le D; Oh H; Yoon S, 2016, 'A mobility prediction (MP)-based phenomenon monitoring in an unbounded area', in 2015 21st Asia Pacific Conference on Communications Apcc 2015, pp. 529 - 533, http://dx.doi.org/10.1109/APCC.2015.7412567

Van Le D; Oh H; Yoon S, 2014, 'A novel hierarchical cooperative data gathering architecture using multiple mobile elements', in International Conference on Ubiquitous and Future Networks Icufn, pp. 522 - 527, http://dx.doi.org/10.1109/ICUFN.2014.6876849

Le DV; Oh H; Yoon S, 2013, 'A Controllable Mobility (CM)-aided Routing protocol using Mobility Prediction in MANETs', in International Conference on ICT Convergence, pp. 427 - 428, http://dx.doi.org/10.1109/ICTC.2013.6675388

Van Le D; Oh H; Yoon S, 2012, 'Reinforcing wireless links using controllable mobility of robotic relays', in Apcc 2012 18th Asia Pacific Conference on Communications Green and Smart Communications for IT Innovation, pp. 23 - 28, http://dx.doi.org/10.1109/APCC.2012.6388094

Preprints

Le DV; Wang R; Liu Y; Tan R; Wong Y-W; Wen Y, 2020, Deep Reinforcement Learning for Tropical Air Free-Cooled Data Center Control, http://arxiv.org/abs/2012.06834v1

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