Zhenhui Yuan (袁振珲), PhD
Associate Professor, University of Warwick, UK
Coordinator, DIRECT (Horizon EU, 2026-2030)
Associate Editor, IEEE Internet of Things Magazine
Consultant Member, Institute for Applied & Translational Technologies in Surgery, University Hospitals Coventry & Warwickshire/NHS Trust, UK
IEEE Senior Member
zhenhui.yuan@warwick.ac.uk
#Connected and Collaborative Robotics Lab (CCR Lab)

About Me


PhD Scholarship
Open Position: unavailable now.
Other scholarships: I am very happy to host joint-PhD/Postdoc/Visiting Researchers. Please feel free to reach out!
NEWS!
  • I'm leading a new Horizon EU project - including 18 partners from Europe/Asia - on connected and collaborative robotics. Project to kick off in Sept 2026!
  • co-Chair, 4th workshop on "6G-empowered Robotic Vehicles for Sustainable Development" in IEEE Vehicular Technology Conference (VTC), 9–12 June 2026, Nice, France. VeSUS website
  • Lead Guest Editor, IEEE Internet of Things Magazine Special Issue on Edge AI for Internet of Robotic Things, deadline: May 15th, 2025. Call-for-Papers
  • Lead Chair, 3rd workshop on "6G-empowered Robotic Vehicles for Sustainable Development" in IEEE International Conference on Communications (ICC), 8–12 June 2025, Montreal, Canada. VeSUS website
  • Lead Chair, 2nd workshop on "6G-empowered Robotic Vehicles for Sustainable Development" in IEEE Vehicular Technology Conference (VTC), Singapore, 2024. VeSUS website
  • Lead Guest Editor, IEEE Internet of Things Journal (IF:10.238, Q1) Special Issue on Integrated Sensing, Computing and Communication for Internet of Robotic Things, deadline: Apr 15th, 2024. Call-for-Papers
  • Lead Guest Editor, IEEE Network (IF:9.3, Q1) Special Issue on Internet of Robots, deadline: Oct 15th, 2023. Call-for-Papers
  • Lead Chair, 1st workshop on "6G-empowered Robotic Vehicles for Sustainable Development" in IEEE Vehicular Technology Conference (VTC), Italy, 2023. VeSUS website
Teaching
  • ES96T “Advanced Wireless Systems and Networks”, University of Warwick
  • ES9ZC “Communication and Information Engineering Design Group Project”, University of Warwick
BIO
Dr. Zhenhui Yuan leads the Connected and Collaborative Robotics Lab (CCR Lab) at the University of Warwick (UK), where his research focuses on integrating AI with advanced communication and networking technologies to enable seamless robot-to-robot and human–to-robot collaboration. He received a BEng in Software Engineering from Wuhan University, China, and a PhD in Electronic Engineering from Dublin City University, Ireland. He previously worked as a postdoctoral researcher funded by Ericsson and Enterprise Ireland, and as a visiting scientist at the Network Research Lab at the University of California, Los Angeles. He also served as a 3GPP delegate and Senior Research Engineer in 5G at Huawei Technologies (Shanghai). He was the Co-Founder and CTO of RobSense Technology (Hangzhou, China), where he led the development of mobile robots for industrial service applications. RobSense secured venture investment exceeding over 15 million RMB. Dr. Yuan has also held the position of Adjunct Associate Professor at the Ministry of Education Key Laboratory of RF Circuits and Systems at Hangzhou Dianzi University, China. He later joined Northumbria University (UK) as a Senior Lecturer and is currently an Associate Professor at the University of Warwick. He serves as a Consulting Member in telerobotics at the Institute for Applied & Translational Technologies in Surgery at University Hospitals Coventry and Warwickshire/NHS Trust), and is a member of the IEEE P1954 Working Group on UAV communications. He has led multiple research projects as Principal Investigator, funded by the British Academy, EPSRC, Horizon Europe, and the National Natural Science Foundation of China. He is currently an Associate Editor for IEEE Internet of Things Magazine, and has served as Leading Guest Editor for special issues in IEEE Network, IEEE Internet of Things Magazine, and IEEE Internet of Things Journal, as well as Associate Editor for IEEE Access, IEEE Transactions on Consumer Electronics, and the Journal of Pervasive Computing & Communications. He is also the founding Chair of the VeSUS workshop (“6G-empowered Robotic Vehicles for Sustainable Development”), which has been successfully held at the IEEE Vehicular Technology Conference and the IEEE International Conference on Communications. He is the Coordinator of the Horizon EU project - DIRECT (2026-2030).

Projects

  • Coordinator, "DIRECT: Distributed Intelligence for REsilient Collaborative roboTics in Extreme Environments", Horizon EU, Grant number: 101299316, 2026-2030 (1.69 million euro).
  • PI, "Low-latency Telerobotic Communications with Bionic Robotic Hand", in collaboration with Zhejiang University, International Partnership Fund, University of Warwick, 2025-26. (£10,000)
  • PI, “Low-latency Digital Twin Synchronisation in Telepresence”, EPSRC Landscape Doctoral Award in Collaboration with Extend Robotics Ltd (UK), 2025-2028.
  • PI, “Predictive Network Intelligence for Medical Telerobotics”, EPSRC Landscape Doctoral Award in Collaboration with University Hospitals Coventry & Warwickshire/NHS Trust, 2026-2029.
  • Co-I"MUXNET:Multisensory XR-based Telesurgery", The Academy of Medical Sciences, UK, £21,030, 2025-2026.
  • PI, "A Live Holographic Communication System for Telesurgery", Research Development Awards, University of Warwick, 2024-2025 (£9,000).
  • PI, "Multimodal Simulation and Decision-making for Future Transport Network", British Academy Pump Priming Award, 2024 (£9,000).
  • Co-I, "Electric Vehicles pOint Location optimization via VEhicular communications (EVOLVE)", Horizon Europe MSCA Staff Exchange, UK, 2022-2026 (£92K).
  • PI, "Communications Subsystems Design for Drone Swarm", Qianjiang Talented Programme (#QJD1602018), P.R.China, Jan 2017-Dec 2019 (50,000 RMB).
  • PI, "Software Defined Routing for Unmanned Aerial Vehicles Swarm", NSFC (#61601159), P.R.China, Jan 2017-Dec 2019 (260,000 RMB).
  • PI, "Drone, Car, Cabinet: Smart 'Last-mile' Delivery", Zhejiang Open Foundation of the Most Important Subjects, Oct 2015 - Oct 2016 (50,000 RMB).
  • PI, "Augmented Reality Video Streaming Service: Protocol and Prototype", Dublin City University Performance Enhancing Initiatives, Nov. 2013-Oct. 2014 (2,500 euro).

Connected and Collaborative Robotics Lab (CCR Lab)

Image 1

Swarm Robotics (#Robot-to-Robot)

[Figure: Our Drone Swarm Show at Westlake, Hangzhou, 杭州-西湖-灯光秀]

We focus on advancing swarm robotics by exploring the fundamental scaling laws that govern collective intelligence. The core objective is to understand how system-level performance—such as the accuracy, robustness, and timeliness of collective model inference—scales with key inputs including communication resource, onboard computing capacity, swarm size, data heterogeneity, and energy constraints. Inspired by well-known theories such as ant colony behavior, multi-agent reinforcement learning, and federated learning, we study how robots can learn to coordinate, share information, and adapt their actions as environments and network conditions change. Ultimately, our research aim to provide principled design guidelines for scalable, resilient, and energy-efficient collective intelligence in real-world swarm robotic systems.
Image 2

Telerobotics (#Human-to-Robot)

[Figure: Surgical Teleoperation Testbed at CCR Lab. Acknowledgement: Zexin Deng/Lu Tian. Paper accepted by IEEE ICRA workshop 2026.]

Telerobotics offers significant potential for performing complex tasks in hazardous and extreme environments from a distance. When augmented with mixed reality interfaces, telerobotic systems can create a strong sense of physical presence, enabling users to interact with remote environments more intuitively. Despite this promise, many challenges remain unresolved. The effectiveness of telerobotic systems depends critically on low-latency communication across diverse scenarios (e.g. <100 ms for remote surgery). Moreover, the combined effects of network delay, task complexity, shared control strategies, and human operator acceptance and experience are not yet fully understood. Addressing these challenges calls for the development of unified human–robot interaction models, robust communication frameworks, and standardised evaluation benchmarks.


Toolkits

Digital Twin-based Teleoperation over Dynamic Networks

[ Github] [Paper accepted by 2026 IEEE International Conference on Digital Twin]

Our digital twin–based teleoperation tool integrates a 6-DOF robotic manipulator with a Unity-based digital twin and a configurable network emulation framework using tc netem. The platform simulates diverse networking environments including LAN, WiFi (good and congested), 4G, and satellite communication environments for remote teleoperations. The tool provides visualized evaluation of teleoperation responsiveness and synchronization quality, employing both Age of Information (AoI) and our proposed K-AoI metric, a spatio-temporal performance measure that weights information freshness by the robot’s instantaneous Cartesian velocity.
  • Operating System: Ubuntu 24.04
  • Digital Twin model of robot: 6-DOF UFactory Lite 6
  • Environment for robotics : Unity 2022.3, ROS2

CRoWN-FL: A Simulation Tool for Federated Learning over Wireless Networks

[ Github] [Paper submitted to IEEE Globecom 2026]

CRoWN-FL is a cross-layer simulation framework that integrates robot mobility, time-varying wireless channel modeling, packet-level transmission, and federated learning execution in a closed-loop system. CRoWN-FL is among the first platforms to jointly integrate mobile robotic systems, LTE channel dynamics, and federated learning within a unified framework. The simulator allows flexible configuration of LTE networks (e.g. transmission power, bandwidth, path loss, channel, etc), robotic mobility, FL aggregation method (FedAvg by default), AI models (e.g. RestNet8/10/18), and dataset import (e.g. CIFAR10/100 by default).
  • Operating System: Linux
  • Network Simulator: NS3
  • Middleware framework for robotics : ROS2

TeleSim v1.0

[ Github] [Paper]

TeleSim is a hardware-in-the-loop teleoperation testbed and dataset designed to evaluate telerobotic system performance under diverse and controlled network conditions. It integrates realistic network emulation with fine manipulation tasks, capturing the impact of bandwidth, latency, jitter, and packet loss on task execution.
  • Operating System: Ubuntu 20.04
  • Network Simulator: OMNeT++ 6.0
  • Robot Arm: Ufactory Lite 6

CARLA-Round Dataset

[GitHub] [Paper]

CARLA-Round is a simulation dataset for vehicles' trajectory prediction tasks at roundabout. The dataset considers a number of different weather conditions and traffic density levels -ranging from Level of Service A to E-offering 25 traffic scenarios. Experiments with standard baselines (LSTM, GCN, GRU+GCN) show that traffic density dominates prediction difficulty, while weather exhibits non-linear effects.
  • Software: CARLA Simulator

Video Streaming Emulator

[ Github]

Real video sequences are transmitted through a virtual network simulated in OMNeT++, where network impairments are introduced.
  • Operating System: Ubuntu 20.04
  • OMNeT++ Version: OMNeT++ 6.0
  • INET Version: INET 4.4

Hardware-in-the-Loop 5G Emulator

[Github]

A hardware-in-the-loop network emulator allowing programmable control of network conditions and topology. The impact of variable 5G conditions on vehicular services such as video streaming can be evaluated realistically.
  • 5G base station: Simu5G (open-source)
  • Operating System: Ubuntu 20.04
  • OMNeT++ Version: OMNeT++ 6.0.1
  • INET Version: INET 4.3.9

EasySwarm: Ground Control Station for Drone Swarm

[Github]

A ground control software designed to manage and coordinate a swarm of robots, supporting both drones and rovers. The system provides centralized monitoring and commanding, enabling operators to supervise multi-robot missions,
  • Operating System: Windows 10
  • RobSense Drone R450
  • RobSense SwarmLink

Drone platform

I am the inventor and product manager of SwarmLink Radio, which is included by Ardupilot.org

SwarmLink radio (LoRa) Flight controller (FPGA+CPU) 5G drone platform Flight Controller

Services

Publications

Journal

  1. Y. Tian, Y. Zhong, Y. Han, Y. Liao, Z. Yuan, and G.-M. Muntean, “Viewport-adaptive 360° video streaming via stochastic viewport trajectory sampling and risk-aware end-to-end adaptation,” to appear in IEEE Transactions on Broadcasting, 2026. (IF=5.9, JCR=Q1)
  2. J. Redondo, N. Aslam, J. Zhang and Z. Yuan, "Optimizing QoS in HD Map Updates: Cross-Layer Multi-Agent With Multi-Task and Mixed-Dependence (MTMD)," in IEEE Transactions on Network and Service Management, vol. 23, pp. 5950-5964, 2026, doi: 10.1109/TNSM.2026.3705270. (IF=5.7, JCR=Q1)
  3. X.Tang, Qing Li, J. Peng, Y. Tan, Z.Yuan, Y. Song, G-M. Muntean, and Y.Jiang, “Low-latency Video Streaming: Applications, Challenges and Trends”, to appear in IEEE Communications Surveys & Tutorials, 2026. (IF=46.7, JCR=Q1, #1/970 in Electrical and Electronic Engineering)
  4. F.Granelli, Y.Lu, Q Wu, Z.Yuan, A.S.Abdalla, V. Marojevic, Y.Jiang, F.Afghah, G. Geraci, A. Mukherjee, S. Baidya, G. Grieco, A.Yaqoob, M.A. Hassan, K.Namuduri, R.Prasad, L. Lahlou, J.Sengendo, and G.Muntean, “A Survey on Unmanned Aerial Vehicles (UAVs) Communications: State-of-the-art, Existing Standards and Future Directions”, IEEE Open Journal of the Communications Society, 2026. (IF=6.1, JCR=Q1)
  5. Q.Li, F. Wang, W. Shi, Q. Yu, G. Tyson, Y. Jiang, J. Lv, and Z.Yuan, “ReparoV2: QoE-aware Live Video Streaming under Low-Bandwidth Networks”, to appear in IEEE Transactions on Mobile Computing, 2026. (IF=9.2, JCR=Q1)
  6. H. Wang, Q. Li, Z. Jiang, Z. Bao, Y. Jiang, Z. Yuan, and G.-M. Muntean, “SketchVision: Bandwidth-Efficient Edge-Cloud Video Object Detection via Compressed Sketches,” IEEE Transactions on Broadcasting, 2026. (IF=4.8, JCR=Q1)
  7. Z. Yuan, Q. Li, X. Lin, T. -M. Grønli and S. Cherkaoui, "Edge AI for Internet of Robotic Things," in IEEE Internet of Things Magazine, vol. 9, no. 1, pp. 4-6, Jan. 2026, doi: 10.1109/MIOT.2025.3630905. (Editorial)
  8. Q.Li, J.Lin, G.Xie, Z.Guan, Z.Luan, Z.Qi, Y.Jiang and Z.Yuan, “Distributed Multi-Task In-Network Classification on Programmable Switches by Ensemble Models," in IEEE Transactions on Networking, 2025, doi: 10.1109/TON.2025.3590275. (IF=3.6, JCR=Q1)
  9. Z.Xu, D.Zhao, Q.Zou, J.Xiao, Y.Jiang, Z.Yuan and Q.Li, "Synthetic User Behaviour Sequence Generation with Large Language Models for Smart Homes" (DOI: 10.1109/MIOT.2025.3575803), IEEE Internet of Things Magazine, 2025.
  10. H.Xiao, C. Xu, C. Fang, W. Wang, S. Yang, Z. Yuan, and L. A. Grieco, “VAAC-IM: Motion-aware Viewing Area Adaptive Control in Immersive Media Transmission”, to appear in IEEE Transactions on Circuits and Systems for Video Technology, 2025. (IF=8.3, JCR=Q1)
  11. Ji, X., Xu, C., Zhang, Z., Zhong, L., Gao, K., Xiao, H., Yuan, Z., Muntean, G.-M, , "Graph-Driven Insights for Heterogeneous Data Center Networks: Leveraging Converters With a Novel Graph Transformer Approach," in IEEE Transactions on Cognitive Communications and Networking, doi: 10.1109/TCCN.2024.3508782, 2025. (IF=7.4, JCR=Q1)
  12. T. Li, H. Wang, Q. Li, Y. Jiang and Z. Yuan, "CL-Shield: A Continuous Learning System for Protecting User Privacy," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2024.3504721, 2025. (IF=7.7, JCR=Q1)
  13. J. Redondo, N. Aslam, J. Zhang and Z. Yuan, "Multi-agent Assessment with QoS Enhancement for HD Map Updates in a Vehicular Network and Multi-service Environment," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2024.3514744, 2025. (IF=6.7, JCR=Q1)
  14. Chen, Xu; Zhang, Yi; Jiang, Chunxiao; Xu, Changqiao; Yuan, Zhenhui; Muntean, Gabriel-Miro,“Revenue-Oriented Optimal Service Offloading Based on Fog-Cloud Collaboration in SD-WAN Enabled Manufacturing Networks”, in IEEE Transactions on Network Science and Engineering, 2025. (IF=6.7, JCR=Q1)
  15. Hanling Wang, Tianyu Li, Mei Zhang, Qing Li*, Huan Cui, Yong Jiang, Zhenhui Yuan. “Joint Configuration Optimization and GPU Allocation for Multi-Tenant Real-Time Video Analytics on Resource-Constrained Edge”, in in IEEE Transactions on Mobile Computing, vol. 24, no. 2, pp. 794-811, Feb. 2025. (IF=7.7, JCR=Q1)
  16. Guanglin Duan, Qing Li*, Zhengxin Zhang, Dan Zhao, Guorui Xie, Yuan Yang, Zhenhui Yuan, Yong Jiang, and Mingwei Xu, "DNSGuard: In-network Defense against DNS Attacks”, in IEEE Transactions on Dependable and Secure Computing (TDSC) , vol. 22, no. 1, pp. 597-613, Jan.-Feb. 2025. (IF=7.0, JCR=Q1)
  17. Tao Zhang, Liu, Tianhao; Liu, Jiqiang; Zhang, Tao; Wang, Jian; yuan, zhenhui; Xu, Minrui; Zhai, Di; Wang, Tianxi; Du, Hongyang; Niyato, Dusit, “Blockchain and Trusted Hardware-enabled Data Scheduling for Edge Learning in Wireless IIoT”, in IEEE Internet of Things Journal, vol. 11, no. 21, pp. 34229-34242, 1 Nov.1, 2024. (IF=10.238, JCR=Q1)
  18. Hanling Wang, Qing Li*, Haidong Kang, Dieli Hu, Lianbo Ma*, Gareth Tyson, Zhenhui Yuan, and Yong Jiang. “ParaLoupe: Real-time Video Analytics on Edge Cluster via Mini Model Parallelization”, IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 13945-13962, Dec. 2024. (IF=7.7, JCR=Q1)
  19. Shujie Yang, Kefei Song, Zhenhui Yuan, Lujie Zhong, Mu Wang, Xiang Ji and Changqiao Xu, “aBBR: An augmented BBR for collaborative intelligent transmission over heterogeneous networks in IIoT”, Elsevier Computer Communications, 226, C (Oct 2024). (IF=4.5, JCR=Q1)
  20. A.Yaqoob, Z.Yuan and G.Muntean, “A UAV-Centric Improved Soft Actor-Critic Algorithm for QoE-focused Aerial Video Streaming”, in IEEE Transactions on Vehicular Technology, vol. 73, no. 9, pp. 13498-13512, Sept. 2024. (IF=6.8, JCR=Q1)
  21. Y.Liao, Y.Song, S.Xia, Y.han, N.Xu, X.Zhai, Z.Yuan, “Low-latency Data Computation of Inland Waterway USVs for RIS-Assisted UAV MEC Network”, in IEEE Internet of Things Journal, vol. 11, no. 16, pp. 26713-26726, 15 Aug.15, 2024. (IF=10.238, JCR=Q1)
  22. L.Zhong, Z.Zhou, Y.Zhuang, H.Li, S.Huang, S.Yang, P.Guo, L.Zhong, Z.Yuan, and C.Xu, “MR-FFL: A Stratified Community-Based Mutual Reliability Framework for Fairness-Aware Federated Learning in Heterogeneous UAV Networks”, in IEEE Internet of Things Journal, vol. 11, no. 12, pp. 20995-21009, 15 June15, 2024. (IF=10.238, JCR=Q1)
  23. Guorui Xie, Qing Li, Zhenning Shi, Hanbin Fang, Shengpeng Ji, Yong Jiang, Zhenhui Yuan, Lianbo Ma, and Mingwei Xu. "Generating Neural Networks for Diverse Networking Classifcation Tasks via Hardware-Aware Neural Architecture Search", in IEEE Transactions on Computers, vol. 73, no. 2, pp. 481-494, Feb. 2024. (IF=3.7, JCR=Q1)
  24. Y. Liao, X. Chen, J. Liu, Y. Han, N. Xu and Z. Yuan, "Cooperative UAV-USV MEC Platform for Wireless Inland Waterway Communications", in IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 3064-3076, Feb. 2024. (IF=4.3, JCR=Q1)
  25. F. Song, Y. Ma, Z. Yuan, I. You, G. Pau and H. Zhang, "Exploring Reliable Decentralized Networks with Smart Collaborative Theory," in IEEE Communications Magazine, vol. 61, no. 8, pp. 44-50, August 2023. (IF=11.2, JCR=Q1)
  26. Q.Li, H.Huang, R.Li, J.Lv, Z.Yuan, L.Ma, Y.Han, and Y.Jiang, “A comprehensive survey on DDoS defense systems: New trends and challenges” Computer Networks, Computer Networks, Jun 2023. (IF=5.493, JCR=Q1)
  27. H.Wang, Q.Li, H.Sun, Z.Chen, Y.Hao, J.Peng, Z.Yuan, J.Fu and Y.Jiang, "VaBUS: Edge-Cloud Real-time Video Analytics via Background Understanding and Subtraction", IEEE Journal on Selected Areas in Communications (JSAC), vol. 41, no. 1, pp. 90-106, Jan. 2023. (IF=13.081, JCR=Q1)
  28. Y.Wan, Y.Zhong, Y.Huang, Y.Han, Y.Cui, Q.Yang, Z.Li, Z.Yuan and Q.Li, "ARSD: An Adaptive Region Selection Object Detection Framework for UAV Images", Drones, 6(9), 228, 2022. (IF=5.532, JCR=Q1)
  29. A QoS-Based Fairness-Aware BBR Congestion Control Algorithm Using QUIC, Han, Y., Zuo, M., Yuan, H., Zhong, Y., Yuan, Z. & Bi, T., in Wireless Communications and Mobile Computing, Apr 2022. (IF=2.146)
  30. S. Kalwar, K.W. Chin and Z. Yuan, "Optimizing TDMA Schedule and SIC-Capable UAV Position via Gibbs Sampling," in IEEE Networking Letters, vol. 2, no. 3, pp. 97-100, Sept. 2020. (IF=2.5)
  31. S. Kalwar, K-W Chin and Z. Yuan, “A Hybrid MAC for Non-Orthogonal Multiple Access Unmanned Aerial Vehicles Networks”, in Springer Wireless Networks, 26, 3749–3761, Mar.2020. (IF:2.405)
  32. Z.Yuan and G-M.Muntean, “AirSlice - A Novel Network Slicing-based Framework for UAV Communications”, in IEEE Communications Magazine, vol.58, no.11, pp.62-68, Nov.2020. (IF=10.435, JCR=Q1).
  33. S. Kalwar, K.W. Chin and Z. Yuan, "DownLink Throughput Maximization in Multi-UAVs Networks using Discrete Optimization", in Springer Journal of Network and Systems Management, 28(2), pp247-270, 2020. (IF=1.676)
  34. Z. Yuan, J. Jin, L. Sun, Kwan-Wu Chin and Gabriel-Miro Muntean, “Ultra-Reliable IoT Communications with UAVs: A Swarm Use Case”, IEEE Communications Magazine, vol. 56, no. 12, pp. 90-96, Dec 2018. (IF=10.435, JCR=Q1).
  35. Z. Yuan, J. Jin, J. Chen, L. Sun and Gabriel-Miro Muntean, “ComProSe: Shaping Future Public Safety Communities with ProSe-based UAVs”, IEEE Communications Magazine, vol. 55, no. 12, pp. 165-171, Dec 2017. (IF=10.435, JCR=Q1). [PDF]
  36. S. Chen, Z. Yuan, Gabriel-Miro Muntean, “Balancing Energy and Quality-awareness: A MAC-Layer Duty-Cycle Management Solution for Multimedia Delivery over Wireless Mesh Networks”, IEEE Transactions on Vehicular Technology, vol.66, no.2, pp.1547-1560, Apr 2016. (IF=2.642, JCR=Q1). [PDF]
  37. Y. Han, Z. Yuan, G.-M. Muntean, "An Innovative No-Reference Metric for Real-time 3D Stereoscopic Video Quality Assessment", IEEE Transactions on Broadcasting, vol. 62, no. 3, pp. 654-663, Mar 2016. (IF=1.825, JCR=Q1). [PDF]
  38. S. Chen, Z. Yuan, Gabriel-Miro Muntean, “An Energy-aware Routing Algorithm for Quality-oriented Wireless Video Delivery”, IEEE Transactions on Broadcasting, vol. 62, no. 1, pp. 55-68, Mar 2016. (IF=1.825, JCR=Q1). [PDF]
  39. Z. Yuan, T. Bi, G. Ghinea, and G.-M. Muntean, “Perceived Synchronization of Mulsemedia Services”, IEEE Transactions on Multimedia, vol. 17, no. 7, pp. 957 - 966, May 2015. (IF=2.303, JCR=Q1). [PDF]
  40. Z. Yuan, G. Ghinea, and G.-M. Muntean, “Beyond Multimedia Adaptation: Quality of Experience-aware Multi-sensorial Media Delivery ”, IEEE Transactions on Multimedia, vol. 17, no.1, pp. 104-117, Jan 2015. (IF=2.303, JCR=Q1). [PDF]
  41. Z. Yuan, S. Chen, G. Ghinea, G.-M. Muntean, “User Quality of Experience of Mulsemedia Applications”, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), vol. 11, no. 1, Sept 2014. (IF=1.586) [PDF]
  42. Z. Yuan and G.-M. Muntean, "iVoIP: an Intelligent Bandwidth Management Scheme for VoIP in WLANs", ACM/Springer Wireless Networks, vol.20, no.3, pp.457-473, Apr.2014. (IF=1.055) [PDF]
  43. Z. Yuan and G.-M. Muntean, "A Prioritized Adaptive Scheme for Multimedia Services over IEEE 802.11 WLANs", IEEE Transactions on Network and Service Management, vol.10, no.4, pp.340 - 355, Dec 2013. (IF=3.134, JCR=Q1) [PDF]
  44. Z. Yuan, H. Venkataraman, and G.-M. Muntean, "MBE: Model-Based Available Bandwidth Estimation for IEEE 802.11 Data Communications", IEEE Transactions on Vehicular Technology, vol.61, no.5, pp.2158-2171, Jun 2012. (IF=2.642, JCR=Q1) [PDF]

Conference

  1. Z.Deng, Z.Yuan, X.Ji, Y.Han and G.Li, "LiteSC: Lightweight Semantic Communication for Robust Wireless Telesurgical Video Transmission", IEEE Conference on Telepresence, Nov 2026, Bristol, UK.
  2. X.Yang, H.Wei, Z.Wang, Y.Xu, Z.Fan, Z.Yuan and G.Li, "Resolving the Flexibility-Sensitivity Trade-off: A Biomimetic Fingertip Tactile Sensor with Pillar Structure", IEEE 22nd International Conference on Automation Science and Engineering (CASE) workshop-Safety-Critical Robotics, Aug 2026, Shenyang, China. [Best Applied Research Award]
  3. S.Qadri, Z.Yuan and G.Muntean, “A Federated Learning Framework for Age of Synchronization-Aware Task Offloading in UAV-Enabled Edge Computing”, 51st IEEE Conference on Local Computer Networks (IEEE LCN), Oct.2026, Coimbra, Portugal.
  4. Z.Deng, Z.Yuan, L.Tian, S.Lakshminarayana and L.Zou, “TAMS: Task-Aware Multi-View Adaptive Streaming for Wireless Telerobotic Manipulation” IEEE Smart World Congress (SWC), Sept 2026, Rende, Italy.
  5. L.Tian, Z.Yuan, Z.Deng and W.Zhang “K-AoI: A Spatio-Temporal Synchronization Metric for Digital Twin-based Teleoperation in Dynamic Network Environments," in Proc. IEEE International Conference on Digital Twin, Sept 2026, Rende, Italy.
  6. Z.Deng, Z.Yuan, L.Tian, G.Li, M.Huang, and L.Zou, “VISTA: A Benchmark for Real-Time Video Streaming under Network Impairments in Surgical Teleoperation,” in Proc. IEEE International Conference on Metaverse, Sept 2026, Rende, Italy. [also presented at (IEEE ICRA workshop ) on Connected Autonomous Robotic Systems, Vienna, Austria, June 2026.]
  7. Y. Tan, Q. Li, J. Cui, J. Peng, G. Tyson, Z. Yuan, T. Yang, and Y. Jiang, “SkyCL: Swift Continuous Learning with Kinship-Awareness for Multi-Drone Video Analytics under Drastic Drift,” in Proceedings of the ACM Web Conference 2026, Apr. 2026. [CORE rank: A*].
  8. L. Longyu, S. Tian, T. Zhang, X. Tang, J. Wang, Z. Yuan, X. Wu, J. Kang, G. Sun, and J. Liu, “PT-KMS: A Polynomial Pool and Trust Chain-based Distributed Key Management Scheme for LEO Satellite Networks,” in Proc. IEEE Vehicular Technology Conference (IEEE VTC), Nice, France, June 2026.
  9. X. Zhou, Z. Yuan, Y. Han, T. Xu, and L. T. Yang, “CARLA-Round: A Multi-Factor Simulation Dataset for Roundabout Trajectory Prediction,” in 103rd IEEE Vehicular Technology Conference (IEEE VTC), Nice, France, Jun. 2026.
  10. C. Fang, H.Xiao, S.Yang, Z.Yuan and C.Xu, “RPP-HO: Risk Predictive Proactive Handover for LEO Satellite Edge Computing”, IEEE Global Communications Conference (IEEE GLOBECOM), Dec.2025, Taipei, China.
  11. Z.Deng, Z.Yuan and L.Zou, "TeleSim: A Network-Aware Testbed and Benchmark Dataset for Telerobotic Applications", IEEE Telepresence, Sept 2025, Leiden, Netherlands.
  12. M.Huang, R.Feng, K.Hu, X.Yu, L.Zou*, J.Xie, Z.Deng and Zhenhui Yuan, "Multi-Sensory Digital Twin Teleoperation System with Haptic Glove-Based Tactile Feedback for Robotic Grasping", IEEE Telepresence, Sept 2025, Leiden, Netherlands.
  13. X.Zhou, Z.Yuan, Y.Han, T.Xu and J.Wang, "Large Language Model based Roundabout Dataset Augmentation for Trajectory Prediction", International Conference on Smart Computing (IEEE SMARTCOMP), June 2025, Cork, Ireland.
  14. Y.Han, R.Zhou, X.Zhou, J.Weng, Y.Yi, Z.Su, and Z.Yuan, "A Roundabout Video Dataset for Vehicle Trajectory Prediction", International Conference on Smart Computing (IEEE SMARTCOMP), June 2025, Cork, Ireland.
  15. W.Chen, J.Liu, T.Zhang, J.Wang, J.Wang, Z.Yuan, Z.Yang, J.Kang, X.Wu and D.Niyato, “Moving Target Defense Against Cache Pollution Attacks in MEC-based Metaverse”, to appear in IEEE International Conference on Computer Communications (INFOCOM workshop on 6G Metaverse), London, UK, May 2025.
  16. Z.Zhang, Z.Luan, Q.Li, Z.Qi, Ke.Li, Y.Jiang and Z.Yuan, "SentinelX: A Lightweight Malicious Traffic Detection System Based on Programmable Switches", accepted by IEEE International Conference on Computer Communications (INFOCOM), London, UK, May 2025. [CORE rank: A*].
  17. Y.Han, Y.Zheng, Y.Zhong, T.Bi, Z.Yuan, G-M.Muntean, “Edge AI-Enabled Multimodal Information Fusion for Vessel Navigation in Low-Bandwidth Maritime Environments”, accepted by The 20th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Dublin, Ireland, Jun 2025.
  18. Z.Xiong, Y.Zhong, Y.Han, T.Bi, Z.Yuan, G-M.Muntean, “A Transformer-based Temporal Feature Fusion Approach for Autonomous Driving BEV Perception”, accepted by The 20th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Dublin, Ireland, Jun 2025.
  19. Chuxing Fang, Han Xiao, Zitong Li, Zhenhui Yuan, Changqiao Xu,“Handover-Aware Cache Replacement Strategy in Non-Terrestrial Network: A Deep Reinforcement Learning Approach”,accepted by The 20th International Conference on Mobility, Sensing and Networking (MSN), Dec 2024, Harbin, China.
  20. J.Redondo, N.Aslam, J.Zhang and Z.Yuan, “Bridge to Real Environment with Hardware-in-the-loop for Wireless Artificial Intelligence Paradigms”, IEEE GLOBECOM Workshop on Testbeds as a Service for Future Networks: Challenges & State of the Art, (GLOBECOM), Dec 2024, Cape Town, South Africa.
  21. L.Yi, K.Miao, T.Zhang, Z.Yuan, J.Kang, D.Niyato, 'Denoising Diffusion Model-Based Channel Estimation in IRS-Assisted ISAC Systems’, 16th International Conference on Wireless Communications and Signal Processing (WCSP), Hefei, China, October 2024.
  22. Chupeng Cui, Qing Li*, Guorui Xie, Ruoyu Li, Dan zhao, Zhenhui yuan, Yong Jiang.”Proteus: A Difficulty-aware Deep Learning Framework for Real-time Malicious Traffic Detection”, accepted by IEEE International Conference on Network Protocols (IEEE ICNP), 2024.
  23. Z. Wei, Z. Wang, Q. Li*, Y. Yang, C. Luo, F. Wang, Y. Jiang, S. Yang, and Z. Yuan. "QDSR: Accelerating Layer-7 Load Balancing by Direct Server Return with QUIC", accepted by USENIX Annual Technical Conference (Usenix ATC), Santa Clara, CA, United States, 2024. [CORE rank: A].
  24. Z. Ye, Q. Li*, C. Qiao, X. Ma, Y. Jiang, Q. Ma, S. Meng, Z. Yuan, and Z. Meng, "KEPC-Push: A Knowledge-Enhanced Proactive Content Push Strategy for Edge-Assisted Video Feed Streaming", accepted by USENIX Annual Technical Conference (Usenix ATC), Santa Clara, CA, United States, 2024. [CORE rank: A].
  25. J.Redondo, Z.Yuan, N.Aslam, J.Zhang, "Cross-layer Adaptable Contention Windows for HD Map QoS Enhancement", The 20th International Wireless Communications & Mobile Computing Conference (IWCMC), May 2024, Cyprus.
  26. T.Li, Q.Li, M.Zhang, Z.Yuan and Y.Jiang, “Adaptive Streaming Continuous Learning System for Video Analytics", IEEE/ACM International Symposium on Quality of Service (IWQoS), June 2024, Guangzhou, China.
  27. J.Redondo, Z.Yuan, N.Aslam, J.Zhang, “Coverage-Aware and Reinforcement Learning Using Multi-Agent Approach for HD Map QoS in a Realistic Environment” The 11th International Conference on Wireless Networks and Mobile Communications (IEEE WINCOM) Jul 2024, Leeds, UK.
  28. Zhenge Xu, Qing Li*, Wanxin Shi, Yong Jiang, Zhenhui Yuan, Peng Zhang, and Gabriel Muntean. "NCTM: A Novel Coded Transmission Mechanism for Short Video Deliveries." The Web Conference (ACM WWW), May 2024, Singapore [CORE rank: A*].
  29. Yuanzheng Tan, Qing Li*, Junkun Peng, Zhenhui Yuan, and Yong Jiang. "Air-CAD: Edge-Assisted Multi-Drone Network for Real-time Crowd Anomaly Detection." The Web Conference (ACM WWW), May 2024, Singapore [CORE rank: A*].
  30. W.Dong, Z. Zhou, X. Li, S. Yang, Z. Yuan and C. Xu "Deterrence of Adversarial Perturbations: Moving Target Defense for Automatic Modulation Classification in Wireless Communication Systems", IEEE International Conference on Communications (IEEE ICC) Jun 2024, Denver, USA.
  31. Guorui Xie, Qing li*, Jiaye Lin, Gianni Antichi, Dan Zhao, Zhenhui Yuan, Ruoyu Li, and Yong Jiang. "Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification." Accepted by IEEE International Conference on Network Protocols (ICNP) 2023.
  32. Jiaye Lin, Qing Li*, Guorui Xie, Yong Jiang, Zhenhui Yuan, Changlin Jiang, and Yuan Yang. "In-Forest: Distributed In-Network Classification with Ensemble Models." Accepted by IEEE International Conference on Network Protocols (ICNP) 2023.
  33. J.Redondo, Z.Yuan, N.Aslam, “Performance Analysis of High-Definition Map Distribution in VANET”, to appear in IEEE International Wireless Communications & Mobile Computing Conference (IEEE IWCMC), June 2023, Marrakesh, Morocco.
  34. X.Chen, P.Han, Y.Huang, Y.Han, Y.Zhong, Z.Li, Z.Yuan and G.Muntean, “A Genetic Algorithm-based Image Enhancement Approach for Autonomous Driving at Night”, to appear in IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), June 2023, Beijing, China.
  35. H. Yuan, Y. Han, Y. Zhong, M. Liao, Z. Yuan and G. Muntean, “FEBBR: A Fairness-Enhanced Approach for BBR Congestion Control”, to appear in IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), June 2023, Beijing, China.
  36. R. He , Q. Li, Q.Yu , Z. Yuan, W. Shi , J. Lv and Y. Han, ”MacSR: Macroblock-aware Lightweight Video Super-Resolution”, IEEE Data Compression Conference (IEEE DCC), Mar. 2023, Snowbird, UT, USA.
  37. Qian Yu, Qing Li*, Rui He, Gareth Tyson, Wanxin Shi, Jianhui Lv, Zhenhui Yuan, Peng Zhang, Yulong Lan and Zhicheng Li. "BiSR: Bidirectionally Optimized Super-Resolution for Mobile Video Streaming". Accepted by The Web Conference ACM WWW 2023. [CORE rank: A*]
  38. J.Peng, Q.Li, Y.Tan, D.Zhao, Z.Yuan, J.Chen, H.Wang and Y.Jiang, "SkyNet: Multi-Drone Cooperation for Real-Time Identification and Localization", IEEE International Conference on Computer Communications (INFOCOM), New York, USA, May 2023. [CORE rank: A*]
  39. G.Xie, Q.Li, Z.Shi, S.Ji, Z.Yuan, L.Zhang, Y.Jiang and M.Xu, "Loong: Generic Neural Network Automation for Multi-Objective Networking Classification Tasks", IEEE International Conference on Computer Communications (INFOCOM), New York, USA, May 2023. [CORE rank: A*]
  40. Shi, W., Li, Q., Zhang, R., Shen, G., Jiang, Y., Yuan, Z. & Muntean, G-M., "QoE Ready to Respond: A QoE-aware MEC Selection Scheme for DASH-based Adaptive Video Streaming to Mobile Users", 29th ACM International Conference on Multimedia (ACMMM), Chengdu, China, Oct 2021, pp. 4016–4024. [CORE rank: A*]
  41. Y. Chen, Q. Li, A. Zhang, L. Zou, Y. Jiang, Z. Xu, J. Li, and Z. Yuan, "Higher quality live streaming under lower uplink bandwidth: an approach of super-resolution based video coding", In Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (ACM NOSSDAV), Istanbul, Turkey, Jul 2021, pp. 74-81. [CORE rank: A]
  42. Yujie Zhang and Zhenhui Yuan, "Cloud-based UAV Data Delivery over 4G Network", The Tenth International Conference on Mobile Computing and Ubiquitous Networking (ICMU), Toyama, Japan, 3-5 Oct 2017, pp. 1-2.
  43. Z. Yuan, J. Jin, X. Huang and L. Sun, "Software Defined Mobile Sensor Network for Micro UAV Swarm", IEEE International Conference on Control and Robotics Engineering (IEEE ICRE), Singapore, 2-4 Apr 2016, pp. 1-4. [Best Paper Award]
  44. Y. Han, Z. Yuan and G.-M. Muntean, “Extended No Reference Objective Quality Metric for Stereoscopic 3D Video”, accepted by IEEE International Conference on Communications workshop(IEEE ICC workshop) on Quality of Experience-based Management for Future Internet Applications and Services, London, UK, Jun 2015.
  45. T. Molloy, Z.Yuan and G.-M. Muntean, "Real Time Emulation of an LTE Network Using NS-3," 25th IET Irish Signals & Systems Conference (IET ISSC), Limerick, Ireland, Jun 2014, pp. 251-257. [PDF]
  46. Z. Yuan, G. Ghinea and G.-M. Muntean, "Quality of Experience Study for Multiple Sensorial Media Delivery", IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC), Nicosia, Cyprus, Aug. 2014, pp. 1142-1146. [PDF]
  47. R. Andreucetti, Z. Yuan, S. Chen and G.-M. Muntean, "Smartphone Energy Consumption of Multimedia Services in Heterogeneous Wireless Networks", IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC), Nicosia, Cyprus, Aug 2014, pp.1147-1151. [PDF]
  48. Y. Han, Z. Yuan, G.-M. Muntean, "No reference Objective Quality Metric for Stereoscopic 3D Video", IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Beijing, China, Jun 2014, pp. 1-6. [Best Paper Award] [PDF]
  49. T. Bi, Z. Yuan, G.-M. Muntean, "Network Reputation-based Stereoscopic 3D Video Delivery in Heterogeneous Networks", IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Beijing, China, Jun 2014, pp.1-7. [PDF]
  50. Z. Yuan, J. Keeney,S. van der Meer, G.Hogan and Gabriel-Miro Muntean,"Context-aware Heterogeneous Network Performance Analysis: Test-bed Development", IEEE International Conference on Pervasive Computing and Communications workshop (IEEE PerCom workshop), Budapest, Hungary, Mar. 2014, pp.472 - 477. [PDF]
  51. T. Ding, Z. Yuan, S. Chen and G.-M. Muntean, "Smartphone Energy Consumption Models for Multimedia Services using Multipath TCP", IEEE Consumer Communications and Networking Conference (IEEE CCNC), Las Vegas, U.S., Jan 2014, pp.239-244. [PDF]
  52. S. Chen, Z. Yuan, and G.-M. Muntean, "A Traffic Burstiness-based Offload Scheme for Energy Efficiency Deliveries in Heterogeneous Wireless Networks", IEEE Global Communications Conference workshop (IEEE Globecom workshop), Atlanta, U.S., Dec 2013, pp. 538-543. [PDF]
  53. S. Chen, Z. Yuan, and G.-M. Muntean,"An Energy-aware Multipath-TCP-based Content Delivery Scheme in Heterogeneous Wireless Networks", IEEE Wireless Communications and Networking Conference (IEEE WCNC), Shanghai, China, Apr 2013, pp.1291-1296. [PDF]
  54. Z. Yuan, H. Venkataraman, and G.-M. Muntean,"A Novel Bandwidth Estimation Algorithm for IEEE 802.11 TCP Data Transmissions",IEEE Wireless Communications and Networking Conference workshop (IEEE WCNC workshop) on Wireless Vehicular Communications and Networks, Paris, France, Apr 2012, pp.377-382. [PDF]
  55. Z. Yuan, H. Venkataraman, and G.-M. Muntean,"iPAS:An User Perceived Quality-based Intelligent Prioritized Adaptive Scheme for IPTV in Wireless Home Networks", IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB), Shanghai, China, Mar 2010, pp.1-6. [PDF]
  56. Z. Yuan, H. Venkataraman, and G.-M. Muntean, "iBE: A Novel Bandwidth Estimation Algorithm for Multimedia Services over IEEE 802.11 Wireless Networks", 12th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services (IFIP/IEEE MMNS), Venice, Italy, Oct 2009, pp. 69-80. [PDF]
  57. Z. Yuan, H. Venkataraman, and G.-M. Muntean,"Necessity for an Intelligent Bandwidth Estimation Technique over Wireless Networks", China-Ireland International Conference on Information and Communication Technologies (IET CIICT), Maynooth, Ireland, Aug 2009. [PDF]

Patents

  1. [ZL201610070380.5] "A new metric for drone video quality assessment"
  2. [ZL201520606541.9] "A new method for drone multimedia communications systems"
  3. [ZL201520606406.4] "A new method for smart delivery with drones"

Tutorial

Visit My YouTube Channel

Tutorial Topics
  1. Machine Learning for Communications and Networking (coming soon...)
  2. Wireless Communications and Networking

Demo

Demo: Air Signal Mapping (collaborate with Nokia)
  • Goal: analyzing the signal strength distribution in 3D space, which helps for future 5G small cell deployment
  • Time & Location: 2016, Hangzhou
  • RobSense RST1000 + RobSense Phenix Lite Flight Controller
  • Nokia small cell + Nokia air signal detector

Demo: Emergent Communications Service with Drone
  • Goal: evaluate QoS and video quality of drone-based emergent communications. A drone is controlled by remote server via LTE link, meanwhile, the drone provides local WiFi access.
  • Time & Location: 2016, Hangzhou
  • RobSense RST800
  • RobSense Phenix Lite Flight Controller
  • 1.4GHz LTE basestation + WiFi AP offered by StarSolution co.ltd
  • Wireshark software is used for signal analysis
  • This demo was shown at Nokia 5G Summit 2016 at Hangzhou

Demo: Inspection at Chemical Factory
  • Goal: Inspecting local chemical factory using drone
  • Time & Location: 2016, Hangzhou
  • RobSense RST800
  • RobSense Phenix Lite Flight Controller

Demo: 3D Video Delivery
  • Goal: building a new objective evaluation metric for wireless 3D video delivery
  • Time & Location: 2014, Dublin
  • Hardware: ASUS VG278 3D monitor (27’’ display with resolution 1920x1080), 3D shutter class
  • Software: Dummynet, VLC player, wireshark
  • Publication: "Software Defined Mobile Sensor Network for Micro UAV Swarm", accepted by IEEE International Conference on Control and Robotics Engineering, Singapore, 2-4 Apr 2016 [best student paper]

Demo: Real Time Emulation of an LTE Network
  • Goal: software implementing LTE network environment
  • Time & Location: 2014, Dublin
  • Hardware: Intel i5-3470 Quad Core, 3.20GHz, 8GB DDR3 RAM(one PC as eNB host), Intel Core i3-2365M, 1.4GHz; 4GB DDR3 RAM (one PC as node)
  • Software: NS3, VLC
  • Publication: "Real Time Emulation of an LTE Network Using NS-3," 25th IET Irish Signals & Systems Conference (IET ISSC), Limerick, Ireland, Jun. 2014, pp. 251-257

Demo: Multi-sensory Media Delivery
  • Goal: evaluate a novel adaptive streaming solution for multi-sensory video
  • Time & Location: 2014, Dublin
  • Hardware: haptic vest, air fan, olfaction generator
  • Software: mulsemedia test software from PEL lab
  • Publication: ACM TOMCCAP, IEEE Trans. MM, and IEEE IWCMC 2014

Demo: SDR implementation with GSM
  • Goal: To capture "practical" control plane messages of operator networks. A local real 800MHz GSM network was built using open-source code.
  • Time & Location: 2013, Dublin
  • Hardware: USRP N210, signal generator (clock synch), iPhone 4s
  • Software: vOpenBTS v2.8, GNU radio v3.6.5, Asterisk v11.0
  • Publication: "Context-aware Heterogeneous Network Performance Analysis: Test-bed Development", IEEE International Conference on Pervasive Computing and Communications workshop (IEEE PerCom workshop), Budapest, Hungary, Mar. 2014

Demo: Mobile Energy Consumption using MPTCP
  • Goal: Study energy cost when deploying multi-path TCP protocol
  • Time & Location: 2013, Dublin
  • Hardware: Arduino, Samsung Galaxy SIII
  • Software: MPTCP open-source code
  • Publication: "Smartphone Energy Consumption Models for Multimedia Services using Multipath TCP", IEEE Consumer Communications and Networking Conference (IEEE CCNC), Las Vegas, U.S., Jan. 2014, pp.239-244

Demo: intelligent Prioritized Adaptive Scheme
  • Goal: Study the proposed prioritized packet scheduling scheme for WiFi
  • Time & Location: 2012, Dublin
  • Hardware: DELL i7 laptop, Samsung tablet, Huawei smartphone, LinkSys router, LANFORGE traffic generator
  • Software: VLC player
  • Publication: "A Prioritized Adaptive Scheme for Multimedia Services over IEEE 802.11 WLANs", IEEE Transactions on Network and Service Management, vol.10, no.4, pp.340 - 355, Dec.2013

Demo: Model-based Bandwidth Estimation Algorithm
  • Goal: Evaluate a proposed model which estimates available WiFi bandwidth using historical QoS parameters
  • Time & Location: 2012, Dublin
  • Hardware: Cisco Linksys WRV210 wireless router, LANFORGE traffic generator, Pascall signal attenuator
  • Software: wireshark
  • Publication: "MBE: Model-Based Available Bandwidth Estimation for IEEE 802.11 Data Communications", IEEE Transactions on Vehicular Technology, vol.61, no.5, pp.2158-2171, Jun.2012

My booklist on AI

  • Artificial Intelligence: A Modern Approach, by Stuart Russell and Peter Norvig
  • Deep Learning, by Ian Goodfellow, Aaron Courville, and Yoshua Bengio
  • Dive into Deep Learning, by Aston Zhang, Mu Li, Zachary Lipton, and Alexander J. Smola
  • Build a large language model, by Sebastian Raschka
  • Hands on Generative AI with Transformers and Diffusion Models, by Pedro Cuenca

My favo books!

  • A Mind at Play: How Claude Shannon Invented the Information Age, by Jimmy Soni and Rob Goodman
  • Mud, Sweat and Tears, by Bear Grylls
  • How Not to Be Wrong: The Hidden Maths of Everyday Life, by Jordan Ellenberg
  • Lyrebird, by Cecelia Ahern
  • Making It Up As I Go Along, by Marian Keyes
  • <<苏东坡传>> 林语堂
  • <<居里夫人自传>> 玛丽·居里
  • <<李光耀回忆录>> 李光耀
  • That's Life, Marty Whelan
  • <<浪潮之巅>><<数学之美>> 吴军
  • <<蔡澜旅行食记>> 蔡澜
  • <<把生命浪费在美好的事物上>> 吴晓波
  • <<腾讯传>> 吴晓波
  • <<激荡三十年>> 吴晓波
  • <<当我谈跑步时我谈些什么>> 村上春树
  • <<问渠哪得清如许>> 朱光潜
  • <<平凡的世界>> 路遥
  • <<神秘岛>> 儒勒.凡尔纳