Staff profile

Professor Hongjian Sun received his Ph.D. degree at the University of Edinburgh (U.K.) and then took postdoctoral positions at King’s College London (U.K.) and Princeton University (USA). Since April 2013, he has been with the Department of Engineering at the University of Durham. He is the Director of Research and Professor (Chair) in Smart Grid in the Department of Engineering, a Chartered Engineer, a Fellow of Durham Energy Institute, and a Fellow of Higher Education Academy.

There are a couple of PhD vacancies in his research group, please send him an email (hongjian.sun(at)dur.ac.uk) to know more information. Topics of particular interest are virtual power plant, green or carbon-neutral 6G communication networks, and extreme weather events & power grid resilience. 

Professor Sun has been on the Editorial Board of:

• IET Smart Grid as the Editor-in-Chief
• Science China - Information Sciences as an Editor
• IEEE Transactions on Industrial Informatics (Guest Editor 2019)
• Renewable and Sustainable Energy Reviews(Guest Editor 2022)
• Journal of Communications and Networks as an Editor
• EURASIP Journal on Wireless Communications and Networking as an Associate Editor (2015-2018)
• IEEE Communications Magazine (Guest Editor 2016-2017).

He served as an organizing chair for over 10 workshops/symposium. Recent examples are:

• IEEE ICC'2020 - Smart Grid Communications, Dublin, June 2020.
• IEEE Smartgridcom'2023 - Data Analytics and Computation, Glasgow, Oct-Nov 2023.
• IEEE ICC'2024, June 2024 in Denver, USA.
• IEEE Smartgridcom'2025 - 29 September – 2 October 2025, Toronto, Canada

Research and Projects

Prof. Sun is the Head of Durham Smart Grid Laboratory and leads Smart Grid research activities focused on: (i) demand side management and demand response, and (ii) renewable energy sources integration and virtual power plants. He has an established track record of publishing high quality scientific articles, with over 200 papers in refereed journals and international conferences. He has made contributions to and coauthored the IEEE 1900.6a-2014 Standard, secured 2 granted patents, and published 5 book chapters and 3 books.

Prof. Sun has been the Principle Investigator or Co-Investigator on a number of projects, with funding successes from the EU H2020, EU ERDF, UK EPSRC, UK BEIS, Ofgem, Innovate UK, and industry. These projects include:

• UKRI "VPP-WARD" project - £1.84M;
• UKRI "SAT-Guard" project - £1M;
• EPSRC "CHEDDAR Hub" project - £3M;
• DSIT "CHEDDAR Hub -Uplift" project - £12M;
• H2020 "TESTBED2" project - €1.4M;
• H2020 “TESTBED” project - €882k;
• EPSRC DecarboN8 project - £1.3M;
• H2020 “SmarterEMC2” project - €3.7M;
• EU ERDF "SWIi" project - £2.5M;
• UK BEIS "USER" project - £1M;
• UK Ofgem/National Grid "CVDT" project -£880k.

In the past, he was the key researcher for EPSRC project "Robust Intelligent Lamp Post (ILP) Sensor Networks for Energy Efficient Transportation Systems" and Korean ETRI project "Cognitive Radio Technology".

• Smart Grid & Virtual Power Plant
• 6G & beyond Communications & Sustainability
• Extreme Weather Events & Power System Resilience
• Intelligent transportation systems

• 2024: World’s Top 2% Scientists, Stanford University, USA:
• 2024: Imperial College London External Examiner:
• 2023: EPSRC Commendation for the top 4% of members of the Peer Review College:
• 2023: World’s Top 2% Scientists, Stanford University, USA:
• 2023: Written evidence to the Parliament:
• 2022: World’s Top 2% Scientists, Stanford University, USA:
• 2020: Written evidence to the Parliament:
• 2018: Durham University Celebrating Excellence Nomination:
• 2018: Editor in Chief for IET Smart Grid Journal:
• 2018: Written evidence to the Parliament :
• 2017: Written evidence to the Parliament : EU Energy and Environment Sub-Committee
• 2016: Written evidence to the Parliament : A response to the Parliament Energy and Climate Change Committee's Low carbon network infrastructure inquiry.

Authored book

• Blockchain and Artificial Intelligence Technologies for Smart Energy Systems
  Sun, H., Hua, W., & You, M. (2023). Blockchain and Artificial Intelligence Technologies for Smart Energy Systems. CRC. https://doi.org/10.1201/9781003170440

Chapter in book

• Relaying Technologies for Smart Grid
  Jiang, J., & Sun, H. (2016). Relaying Technologies for Smart Grid. In I. Krikidis, & G. Zheng (Eds.), Relay Technologies in Future Cooperative Communication Systems. IET Press
• Demand Side Management in Microgrid Control Systems
  Li, D., Chiu, W.-Y., & Sun, H. (2016). Demand Side Management in Microgrid Control Systems. In M. S. Mahmoud (Ed.), Microgrid: Advanced Control Methods and Renewable Energy System Integration. Elsevier
• Paving A Wider Way for Multimedia Over Cognitive Radios: An Overview of Wideband Spectrum Sensing Algorithms
  Ahmad, B. I., Sun, H., Ling, C., & Nallanathan, A. (2014). Paving A Wider Way for Multimedia Over Cognitive Radios: An Overview of Wideband Spectrum Sensing Algorithms. In F. Hu, & S. Kumar (Eds.), Multimedia Over Cognitive Radio Networks: Algorithms, Protocols, and Experiments. Taylor & Francis LLC, CRC Press
• Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks
  Sun, H., Nallanathan, A., & Jiang, J. (2013). Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks. In A. Y. Carmi, L. S. Mihaylova, & S. J. Godsill (Eds.), Compressed Sensing & Sparse Filtering (149-185). Springer Press. https://doi.org/10.1007/978-3-642-38398-4_6

Conference Paper

• Leveraging Digital Twins for Anomaly Detection and Adaptive Healing in Software-defined IoT
  Singh, A., Aujla, G., Jindal, A., Sun, H., & Aslam, N. (2025, June). Leveraging Digital Twins for Anomaly Detection and Adaptive Healing in Software-defined IoT. Presented at IEEE International Conference on Communications, Montreal, Canada
• Decarbonising Heating with Power-Hydrogen Optimisation
  Gonzalez-Osuna, E., Correa-Delval, M., & Sun, H. (2024, November). Decarbonising Heating with Power-Hydrogen Optimisation. Presented at 9th International Conference on Renewable Energy and Conservation ICREC 2024, Rome, Italy
• Coordinated Control for Smoothing Wind Power Fluctuation using Energy Storage Systems
  Lin, R., Jiang, J., Bao, H., & Sun, H. (2024, July). Coordinated Control for Smoothing Wind Power Fluctuation using Energy Storage Systems. Presented at 28th International Conference on Circuits, Systems, Communications and Computers (CSCC), Heraklion, Crete Island, Greece
• Smart Electric Vehicle Charging with Ideal and Practical Communications in Smart Grids
  Heron, J., & Sun, H. (2019, December). Smart Electric Vehicle Charging with Ideal and Practical Communications in Smart Grids. Presented at IEEE Global Communications Conference (Globecom), HI, USA
• Managing Distributed Generation in a Microgrid with Privacy Preservation
  Touya, E., & Sun, H. (2018, December). Managing Distributed Generation in a Microgrid with Privacy Preservation. Presented at International Congress of Electric Distribution (CIDEL 2018), Buenos Aires City, Argentina
• HYBIC: An Improved Congestion Control Algorithm for Integrated Satellite-Terrestrial Networks in 5G and Beyond Communications
  Bisu, A. A., Gallant, A., & Sun, H. (2024, October). HYBIC: An Improved Congestion Control Algorithm for Integrated Satellite-Terrestrial Networks in 5G and Beyond Communications. Presented at 2024 IEEE Future Networks World Forum (FNWF), Dubai, UAE
• Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum
  Dua, A., Singh Aujla, G., Jindal, A., & Sun, H. (2024, December). Green AutoML: Energy-Efficient AI Deployment Across the Edge-Fog-Cloud Continuum. Presented at IEEE Global Communications Conference - Workshop on Next-Gen Healthcare Fusion (NgHF): AI-driven Secure Integrated Networks for Healthcare IoT Systems, Cape Town, South Africa
• COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks
  Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (2025, June). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada
• Optimal Energy Scheduling of Digital Twins Based Integrated Energy System
  Du, J., Harsh, P., & Sun, H. (2024, December). Optimal Energy Scheduling of Digital Twins Based Integrated Energy System. Presented at The 4th International Conference on Smart City and Green Energy, Sydney
• Efficient Context-Aware Barring Scheme for Low-Latency 2-Step RACH in 5G Networks
  Nie, D., Yu, W., Foh, C. H., Ni, Q., Chen, L., Berri, S., Chorti, A., & Sun, H. (2025, May). Efficient Context-Aware Barring Scheme for Low-Latency 2-Step RACH in 5G Networks. Presented at IEEE INFOCOM 2025: IEEE International Conference on Computer Communications - Workshop, London
• An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning
  Liu, J., Kazemtabrizi, B., Du, H., Matthews, P., & Sun, H. (2024, November). An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning. Presented at 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA
• Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era
  Bisu, A. A., Sun, H., & Gallant, A. (2025, January). Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era. Presented at 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), University of Nevada, Las Vegas, USA
• Weather Impact on DER Long-term Performance: A Formal Verification Approach
  Santana, M. A., Stefanakos, I., Fang, X., Garg, A., Sun, H., & Osman, A. (2024, November). Weather Impact on DER Long-term Performance: A Formal Verification Approach. Presented at 2024 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Bangalore, India
• Energy Self-Sufficiency Assessment of a Novel Low-Light Enhanced Photovoltaic Model in the Residential Sector
  Celis, A. A., Sun, H., Groves, C., & Harsh, P. (2024, October). Energy Self-Sufficiency Assessment of a Novel Low-Light Enhanced Photovoltaic Model in the Residential Sector. Presented at 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024, Phoenix, AZ, USA
• Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading
  Ezeokafor, C., Harsh, P., & Sun, H. (2024, November). Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading. Presented at IEEE PES Australasian Universities Power Engineering Conference (AUPEC), Sydney, Australia
• Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration
  Harsh, P., Sun, H., Awagan, G., & Jiang, J. (2024, November). Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration. Presented at IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, USA
• Ultra-Miniaturized In-Band Full-Duplex Implantable Antenna for Wireless Capsule Endoscopy
  Alshammari, A., Iqbal, A., Simorangkir, R. B., Hongjian, S., & Mabrouk., I. B. (2024, July). Ultra-Miniaturized In-Band Full-Duplex Implantable Antenna for Wireless Capsule Endoscopy. Presented at 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy
• Compact Implantable Antenna Design for Leadless Cardiac Pacemaker System
  Brown, M., & Sun, H. (2024, July). Compact Implantable Antenna Design for Leadless Cardiac Pacemaker System. Presented at 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy
• Identification of Photovoltaic and Electric Vehicle Profiles in Distribution Networks Using Long Short-Term Memory Network
  Awagan, G., Jiang, J., Peiris, V., Sun, H., & Harsh, P. (2024, June). Identification of Photovoltaic and Electric Vehicle Profiles in Distribution Networks Using Long Short-Term Memory Network. Presented at 2024 IEEE 6th Global Power, Energy and Communication Conference, GPECOM 2024, Budapest, Hungary
• Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks
  Garg;, A., Aujla, G., & Sun, H. (2023, October). Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks. Presented at 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, UK
• Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G
  Thomas, H., Sun, H., & Kazemtabrizi, B. (2023, March). Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G. Presented at ISGT ME 2023, Abu Dhabi, UAE
• Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings
  Garg, A., Aujla, G., & Sun, H. (2023, October). Techno-Economic-Environmental Analysis for Net-Zero Sustainable Residential Buildings. Presented at IEEE PES ISGT Europe 2023, Grenoble, France
• Protecting privacy in microgrids using federated learning and deep reinforcement learning
  Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. (2022, November). Protecting privacy in microgrids using federated learning and deep reinforcement learning. Presented at 12th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2022), Hong Kong, China
• Blockchain Smart Contracts for Grid Connection Management in Achieving Net Zero Energy Systems
  Hua, W., Jing, R., Zhou, Y., Zhang, X., Jiang, J., & Sun, H. (2023, November). Blockchain Smart Contracts for Grid Connection Management in Achieving Net Zero Energy Systems. Presented at 13th International Conference on Applied Energy (ICAE 2021), Bangkok
• Demand side management considering household appliances and EV
  Dong, Z., Jiang, J., Qian, H., & Sun, H. (2022, October). Demand side management considering household appliances and EV. Presented at 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022), Chengdu, China
• Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems
  Correa-Delval, M., Sun, H., Matthews, P. C., & Chiu, W.-Y. (2022, September). Appliance Scheduling Optimisation Method Using Historical Data in Households with RES Generation and Battery Storage Systems. Presented at 2022 5th International Conference on Renewable Energy and Power Engineering (REPE 2021), Beijing, China
• Statistical Power Grid Observability under Finite Blocklength
  Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022, May). Statistical Power Grid Observability under Finite Blocklength. Presented at 2022 3rd International Conference on Computing, Networks and Internet of Things, Qingdao, China
• A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization
  Deng, H., Jiang, J., Qian, H., & Sun, H. (2022, October). A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. Presented at 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022), Chengdu, China
• Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation
  Copsey, E., Sun, H., & Jiang, J. (2022, September). Electric Vehicle Battery Pack Design for Mitigating Thermal Runaway Propagation. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London
• Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality
  Piper, W., Sun, H., & Jiang, J. (2022, September). Digital Twins for Smart Cities: Case Study and Visualisation via Mixed Reality. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London
• Statistical Power Grid Observability under NOMA-based Communication Constraints
  Zhan, Q., Liu, N., Pan, Z., & Sun, H. (2022, May). Statistical Power Grid Observability under NOMA-based Communication Constraints. Presented at 2022 3rd International Conference on Wireless Communications and Big Data., Qingdao, China
• Reinforcement Learning Based Load Balancing for Geographically Distributed Data centres
  Mackie, M., Sun, H., & Jiang, J. (2021, October). Reinforcement Learning Based Load Balancing for Geographically Distributed Data centres. Presented at IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) 2021, Espoo, Finland
• Trust-based Model for Securing Vehicular Networks Against RSU Attacks
  Alnasser, A., & Sun, H. (2021, May). Trust-based Model for Securing Vehicular Networks Against RSU Attacks. Presented at IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver, BC
• Appliance Classification using BiLSTM Neural Networks and Feature Extraction
  Correa-Delval, M., Sun, H., Matthews, P., & Jiang, J. (2021, October). Appliance Classification using BiLSTM Neural Networks and Feature Extraction. Presented at IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Espoo, Finland
• Short-term load forecasting using artificial neural networks and social media data
  Boyd, A., Sun, H., Black, M., & Jesson, S. (2021, September). Short-term load forecasting using artificial neural networks and social media data. Presented at CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution, Online Conference
• An Internet of Things (IoT) Homecare Management System Using Cardiac Arrhythmia Classification
  Almazroa, A., & Sun, H. (2021, April). An Internet of Things (IoT) Homecare Management System Using Cardiac Arrhythmia Classification. Presented at 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Paris
• A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming
  You, M., Zheng, G., & Sun, H. (2021, June). A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming. Presented at ICC 2021 - IEEE International Conference on Communications, Montreal, Quebec
• Data-driven Pricing and Control for Low Carbon V2G Charging Station with Balancing Services
  Hernandez Cedillo, M., & Sun, H. (2020, November). Data-driven Pricing and Control for Low Carbon V2G Charging Station with Balancing Services. Presented at 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Tempe, AZ
• Optimising Demand and Bid Matching in a Peer-to-Peer Energy Trading Model
  Meinke, R.-J., Sun, H., & Jiang, J. (2020, June). Optimising Demand and Bid Matching in a Peer-to-Peer Energy Trading Model. Presented at 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland
• Experimental Performance Evaluation of TCP over an Integrated Satellite-Terrestrial Network Environment
  Bisu, A., Gallant, A., Sun, H., Purvis, A., & Brigham, K. (2019, June). Experimental Performance Evaluation of TCP over an Integrated Satellite-Terrestrial Network Environment. Presented at International Wireless Communications & Mobile Computing Conference (IWCMC 2019), Tangier Morocco
• A Blockchain-Based Peer-to-Peer Trading Scheme Coupling Energy and Carbon Markets
  Hua, W., & Sun, H. (2019, September). A Blockchain-Based Peer-to-Peer Trading Scheme Coupling Energy and Carbon Markets. Presented at 2019 International Conference on Smart Energy Systems and Technologies (SEST)., Porto, Portugal
• Global Roaming Trust-based Model for V2X Communications
  Alnasser, A., & Sun, H. (2023, April). Global Roaming Trust-based Model for V2X Communications. Presented at INFOCOM 2019 Workshops : the Third IEEE International Workshop on the Security, Privacy, and Digital Forensics of Mobile Systems and Networks (MobiSec 2019), Paris, France
• Multi-Metric QoS-balancing Relay Selection Algorithm in V2X Communications
  Alnasser, A., Sun, H., & Jiang, J. (2019, December). Multi-Metric QoS-balancing Relay Selection Algorithm in V2X Communications. Presented at IEEE Global Communications Conference (Globecom) Workshops, Waikoloa HI, USA
• An Internet of Things (IoT) Management System for Improving Homecare - A Case Study
  Alamazroa, A., & Sun, H. (2019, June). An Internet of Things (IoT) Management System for Improving Homecare - A Case Study. Presented at International Symposium on Networks, Computers and Communications (ISNCC'19), Istanbul, Turkey
• Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption
  Stacpoole, K., Sun, H., & Jiang, J. (2019, December). Smart Scheduling of Household Appliances to Decarbonise Domestic Energy Consumption. Presented at 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)., Changchun, China
• Telemedicine via Satellite: Improving Access to Healthcare for Remote Rural Communities in Africa
  Bisu, A. A., Gallant, A., Sun, H., Brigham, K., & Purvis, A. (2018, December). Telemedicine via Satellite: Improving Access to Healthcare for Remote Rural Communities in Africa. Presented at IEEE Region 10 Humanitarian Technology Conference 2018 (HTC’18), Colombo, Sri Lanka
• Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets
  Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2017, September). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. Presented at 2nd International Conference on Power and Renewable Energy, Chengdu, China
• Reliability Modeling Considerations for Emerging Cyber–Physical Power Systems
  Aravinthan, V., Balachandran, T., Ben-Idris, M., Fei, W., Heidari-Kapourchali, M., Hettiarachchige-Don, A., Jiang, J. N., Lei, H., Liu, C.-C., Mitra, J., Ni, M., Papic, M., Parvania, M., Sephary, M., Singh, C., Srivastava, A., Stefanov, A., Sun, H., & Tindemans, S. (2018, June). Reliability Modeling Considerations for Emerging Cyber–Physical Power Systems. Presented at 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Boise, Idaho, USA
• Energy Hub Scheduling Method with Voltage Stability Considerations
  You, M. Y., Hua, W., Shahbazi, M., & Sun, H. (2018, August). Energy Hub Scheduling Method with Voltage Stability Considerations. Presented at The seventh IEEE/CIC International Conference on Communications in China (ICCC 2018)., Beijing, China
• A Framework for End-to-End Latency Measurements in a Satellite Network Environment
  Bisu, A., Purvis, A., Brigham, K., & Sun, H. (2018, May). A Framework for End-to-End Latency Measurements in a Satellite Network Environment. Presented at IEEE International Conference on Communications 2018, Kansas City, MO, USA
• Performance Analysis of Behavior-based Solutions in Vehicular Networks
  Alnasser, A., & Sun, H. (2018, April). Performance Analysis of Behavior-based Solutions in Vehicular Networks. Presented at IEEE International Conference on Computer Communications (INFOCOM 2018), Honolulu, HI, USA
• A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator
  You, M., Liu, Q., & Sun, H. (2018, May). A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator. Presented at IEEE International Conference on Communications, Kansas City, MO, USA
• Enhancing Dynamic Voltage Stability in Power Systems with Distributed Generations
  Liu, Q., Sun, H., & Matthews, P. (2017, October). Enhancing Dynamic Voltage Stability in Power Systems with Distributed Generations. Presented at 2017 8th IEEE International Conference on Smart Grid Communications (SmartGridComm), Dresden, German
• Power Grid Observability Redundancy Analysis under Communication Constraints
  You, M., Liu, Q., Jiang, J., & Sun, H. (2017, October). Power Grid Observability Redundancy Analysis under Communication Constraints. Presented at 2017 6th IEEE/CIC International Conference on Communications in China (ICCC2017)., Qingdao, China
• Improving handover of 5G networks by network function virtualization and fog computing
  Qiu, Y., Zhang, H., Long, K., Sun, H., Li, X., & Leung, V. (2017, October). Improving handover of 5G networks by network function virtualization and fog computing. Presented at 2017 6th IEEE/CIC International Conference on Communications in China (ICCC2017)., Qingdao, China
• Multiobjective optimization for carbon market scheduling based on behavior learning
  Li, D., Hua, W., Sun, H., & Chiu, W.-Y. (2017, December). Multiobjective optimization for carbon market scheduling based on behavior learning
• Household Level Distributed Energy Management System integrating Renewable Energy Sources and Electric Vehicles
  Gosselin, D., Jiang, J., & Sun, H. (2017, December). Household Level Distributed Energy Management System integrating Renewable Energy Sources and Electric Vehicles. Presented at IEEE 85th Vehicular Technology Conference (VTC2017), Sydney
• Achieving low carbon emission using Smart Grid technologies
  Li, D., Sun, H., & Chiu, W.-Y. (2017, December). Achieving low carbon emission using Smart Grid technologies. Presented at 2017 IEEE 85th Vehicular Technology Conference (VTC2017), Sydney
• L-index sensitivity based voltage stability enhancement
  Liu, Q. L., You, M., Sun, H., & Matthews, P. (2017, December). L-index sensitivity based voltage stability enhancement. Presented at 2017 IEEE 85th Vehicular Technology Conference (VTC2017), Sydney
• Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant
  Hua, W., Li, D., Sun, H., & Matthews, P. (2017, September). Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant. Presented at 2017 3rd IEEE International Smart Cities Conference (ISC2 2017)., Wuxi, China
• Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay
  Heron, J., & Sun, H. (2017, September). Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay. Presented at IEEE 86th Vehicular Technology Conference, Toronto, Canada
• ADMM-based Coordinated Decentralized Voltage Control Meets Practical Communication Systems
  Xu, J., & Sun, H. (2017, May). ADMM-based Coordinated Decentralized Voltage Control Meets Practical Communication Systems. Presented at IEEE International Conference on Communications (IEEE ICC'17): Bridging People, Communities, and Cultures., Paris, France
• Incorporating User Utility in a Smart Microgrid with Distributed Generation and Elastic Demand
  Benjamin, B., Jiang, J., & Sun, H. (2017, December). Incorporating User Utility in a Smart Microgrid with Distributed Generation and Elastic Demand. Presented at IEEE International Conference on Communications (IEEE ICC 2017), Paris
• A Layered Approach for Enabling Demand Side Management in Smart Grid
  Li, D., Sun, H., & Chiu, W.-Y. (2016, January). A Layered Approach for Enabling Demand Side Management in Smart Grid. Presented at 2016 International Conference on Control, Automation and Information Sciences (ICCAIS), Ansan, Korea
• Realising energy-aware communication over fading channels under QoS constraints
  You, M., & Sun, H. (2016, October). Realising energy-aware communication over fading channels under QoS constraints. Presented at IEEE International Conference on Ubiquitous Wireless Broadband., Nanjing, China
• The Coordinated Voltage Control Meets Imperfect Communication System
  Xu, J., Sun, H., & Dent, C. (2016, October). The Coordinated Voltage Control Meets Imperfect Communication System. Presented at 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe),, Ljubljana, Slovenia
• Energy Efficient Massive MIMO System Design for Smart Grid Communications
  Jiang, J., Sun, H., & Chiu, W.-Y. (2016, May). Energy Efficient Massive MIMO System Design for Smart Grid Communications. Presented at IEEE International Conference on Communications 2016., Kuala Lumpur, Malaysia
• Energy Efficient and Adaptive Design for Wireless Power Transfer in Electric Vehicles
  Mou, X., Groling, O., Gallant, A., & Sun, H. (2016, May). Energy Efficient and Adaptive Design for Wireless Power Transfer in Electric Vehicles. Presented at 2016 IEEE 83rd Vehicular Technology Conference: VTC2016-Spring., Nanjing, China
• Performance Assessment of Distributed Communication Architectures in Smart Grid
  Jiang, J., & Sun, H. (2016, May). Performance Assessment of Distributed Communication Architectures in Smart Grid. Presented at 2016 IEEE 83rd Vehicular Technology Conference: VTC2016-Spring., Nanjing, China
• Effective capacity analysis of smart grid communication networks
  You, M., Mou, X., & Sun, H. (2015, September). Effective capacity analysis of smart grid communication networks. Presented at 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, Guildford, UK
• An H∞ design for dynamic pricing in the smart grid
  Chiu, W.-Y., Sun, H., & Poor, H. V. (2015, December). An H∞ design for dynamic pricing in the smart grid. Presented at 2015 10th Asian Control Conference (ASCC), Sabah, Malaysia
• Wireless Power Transfer: Survey and Roadmap
  Mou, X., & Sun, H. (2015, May). Wireless Power Transfer: Survey and Roadmap. Presented at 2015 IEEE 81st Vehicular Technology Conference: VTC2015-Spring, Glasgow, UK
• Frequency Scheduling Based Interference Alignment for Cognitive Radio Networks
  Zhao, N., Qu, T., Sun, H., Nallanathan, A., & Yin, H. (2013, December). Frequency Scheduling Based Interference Alignment for Cognitive Radio Networks. Presented at IEEE Globecom'13, Atlanta GA
• Demand-side energy storage system management in smart grid
  Chiu, W.-Y., Sun, H., & Poor, H. (2012, November). Demand-side energy storage system management in smart grid. Presented at Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on, Tainan, Taiwan
• Compressive Autonomous Sensing (CASe) for Wideband Spectrum Sensing
  Sun, H., Nallanathan, A., Jiang, J., & Poor, H. (2012, December). Compressive Autonomous Sensing (CASe) for Wideband Spectrum Sensing. Presented at IEEE ICC'12, Ottawa, Canada
• Robust Power Flow Control in Smart Grids with Fluctuating Effects
  Chiu, W.-Y., Sun, H., & Poor, H. (2012, December). Robust Power Flow Control in Smart Grids with Fluctuating Effects. Presented at IEEE INFOCOM'12, Orlando, Florida, USA
• An Energy-Efficient Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks
  Zhao, N., Yu, F., Sun, H., & Nallanathan, A. (2012, December). An Energy-Efficient Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks. Presented at IEEE GlobeCom'12, Anaheim, CA, USA
• Interference Alignment through Antenna Switching to Improve Quality of Service in Wireless Networks
  Zhao, N., Yin, H., Yu, F., & Sun, H. (2012, December). Interference Alignment through Antenna Switching to Improve Quality of Service in Wireless Networks. Presented at IEEE ICCC'12, Beijing, China
• Improving the Energy Efficiency of Power Line Communications by Spectrum Sensing
  Sun, H., Nallanathan, A., & Jiang, J. (2012, December). Improving the Energy Efficiency of Power Line Communications by Spectrum Sensing. Presented at IEEE ICACCI'12, Chennai, India
• Interference Alignment Based on Channel Prediction with Delayed Channel State
  Zhao, N., Yu, F., Sun, H., Yin, H., & Nallanathan, A. (2012, December). Interference Alignment Based on Channel Prediction with Delayed Channel State. Presented at IEEE GlobeCom'12, Anaheim, CA, USA
• Green Data Transmission in Power Line Communications
  Sun, H., Nallanathan, A., Zhao, N., & Wang, C.-X. (2012, December). Green Data Transmission in Power Line Communications. Presented at IEEE GlobeCom'12, Anaheim, CA, USA
• Cooperative Spectrum Sensing with Diversity Reception in Cognitive Radios
  Sun, H., Nallanathan, A., Jiang, J., & Wang, C.-X. (2011, December). Cooperative Spectrum Sensing with Diversity Reception in Cognitive Radios. Presented at IEEE CHINACOM'11, Harbin, China
• A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks
  Sun, H., Nallanathan, A., Jiang, J., Laurenson, D., Wang, C.-X., & Poor, H. (2011, December). A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks. Presented at IEEE GLOBECOM'11, Houston, Texas, USA
• Adaptive Compressive Spectrum Sensing in Distributed Cognitive Radio Networks
  Sun, H., Nallanathan, A., & Jiang, J. (2011, December). Adaptive Compressive Spectrum Sensing in Distributed Cognitive Radio Networks. Presented at IEEE APWCS'11, Singapore
• Cooperative Compressive Spectrum Sensing by Sub-Nyquist Sampling
  Sun, H., Laurenson, D., & Thompson, J. (2009, December). Cooperative Compressive Spectrum Sensing by Sub-Nyquist Sampling. Presented at IEEE UKIWCWS'09, IIT Delhi, India
• A Novel Centralized Network for Sensing Spectrum in Cognitive Radio
  Sun, H., Laurenson, D., Thompson, J., & Wang, C.-X. (2008, December). A Novel Centralized Network for Sensing Spectrum in Cognitive Radio. Presented at IEEE ICC'08, Beijing, China

Conference Proceeding

• Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems
  Demirbaga, U., Singh Aujla, G., & Sun, H. (2025, June). Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada
• Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks
  Dua, A., Jindal, A., Singh Aujla, G., & Sun, H. (2025, June). Green Reinforcement and Split Learning Framework for Edge-Fog-Cloud Continuum in 6G Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

Edited book

• From Internet of Things to Smart Cities: Enabling Technologies
  Sun, H., Wang, C., & Ahmad, B. (Eds.). (2016). From Internet of Things to Smart Cities: Enabling Technologies. Chapman and Hall/CRC

Journal Article

• A Preference-based Online Reinforcement Learning with Embedded Communication Failure Solutions in Smart Grid
  Dang, Y., Xu, J., Li, D., & Sun, H. (online). A Preference-based Online Reinforcement Learning with Embedded Communication Failure Solutions in Smart Grid. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/TII.2024.3507203
• Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources
  Harsh, P., Sun, H., Das, D., Goyal, A., & Jiang, J. (online). Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources. IEEE Transactions on Industry Applications, https://doi.org/10.1109/TIA.2025.3535847
• Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain
  Garg, A., Singh, A., Singh Aujla, G., & Sun, H. (online). Two-fold Strategy Towards Sustainable Renewable Energy Networks When Uncertainty is Certain. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/TCE.2024.3475581
• Joint Optimization based on Two-phase GNN in RIS-and DF-assisted MISO Systems with Fine-grained Rate Demands
  Tang, H., Zhang, J., Zhao, Z., Wu, H., Sun, H., & Jiao, P. (online). Joint Optimization based on Two-phase GNN in RIS-and DF-assisted MISO Systems with Fine-grained Rate Demands. IEEE Transactions on Wireless Communications, https://doi.org/10.1109/TWC.2025.3576298
• Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming
  Xiao, Y., Wang, E., Chen, Y., Chen, L., Ikhlef, A., & Sun, H. (online). Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming. IEEE Wireless Communications Letters, https://doi.org/10.1109/lwc.2024.3521186
• A Scalable and Resilient Protection Framework for Hybrid Microgrids Using Zero Injection Cluster and Graph Learning
  Goyal, A., Jiang, J., Koley, E., Ghosh, S., Harsh, P., & Sun, H. (2025). A Scalable and Resilient Protection Framework for Hybrid Microgrids Using Zero Injection Cluster and Graph Learning. Applied Energy, 391, Article 125927. https://doi.org/10.1016/j.apenergy.2025.125927
• Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study
  Chandran, L. R., Karuppasamy, I., Nair, M. G., Sun, H., & Krishnakumari, P. K. (2025). Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study. Journal of Sensor and Actuator Networks, 14(2), Article 28. https://doi.org/10.3390/jsan14020028
• Swarm Intelligence-driven Multi-objective Optimization for Microgrid Energy Management and Trading considering DERs and EVs integration: Case Studies from Green Energy Park, Morocco
  Rochd, A., Raihani, A., Mahir, O., Kissaoui, M., Laamim, M., Lahmer, A., El-Barkouki, B., El-Qasery, M., Sun, H. J., & Guerrero, J. M. (2025). Swarm Intelligence-driven Multi-objective Optimization for Microgrid Energy Management and Trading considering DERs and EVs integration: Case Studies from Green Energy Park, Morocco. Results in engineering, 25, Article 104400. https://doi.org/10.1016/j.rineng.2025.104400
• Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twin
  Singh, A., Demirbaga, U., Singh Aujla, G., Jindal, A., Jiang, J., & Sun, H. (2025). Scalable and Reliable Data Framework for Sensor-enabled Virtual Power Plant Digital Twin. IEEE Journal of Selected Areas in Sensors, 2, 108-120. https://doi.org/10.1109/JSAS.2025.3540956
• A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response †
  Chen, W., Sun, H., You, M., Jiang, J., & Rivera, M. (2025). A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response †. Energies, 18(4), Article 833. https://doi.org/10.3390/en18040833
• Communication-Centric Integrated Sensing and Communications With Mixed Fields
  Xiao, Y., Wang, E., Chen, Y., Sun, H., & Ikhlef, A. (2024). Communication-Centric Integrated Sensing and Communications With Mixed Fields. SCIENCE CHINA Information Sciences, 67(12), Article 219301. https://doi.org/10.1007/s11432-024-4152-9
• Dual‐user joint sensing and communications with time‐divisioned bi‐static radar
  Wang, E., Chen, Y., Ikhlef, A., & Sun, H. (2024). Dual‐user joint sensing and communications with time‐divisioned bi‐static radar. IET Communications, 18(17), 1126-1139. https://doi.org/10.1049/cmu2.12820
• Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions
  Cao, Y., Li, S., Lv, C., Wang, D., Sun, H., Jiang, J., Meng, F., Xu, L., & Cheng, X. (2023). Towards Cyber Security for Low-Carbon Transportation: Overview, Challenges and Future Directions. Renewable and Sustainable Energy Reviews, 183, Article 113401. https://doi.org/10.1016/j.rser.2023.113401
• Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game
  Hua, W., Xiao, H., Pei, W., Chiu, W.-Y., Jiang, J., Sun, H., & Matthews, P. (2023). Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game. CSEE journal of power and energy systems, 9(2), 505-515. https://doi.org/10.17775/cseejpes.2021.04370
• Decarbonising electrical grids using photovoltaics with enhanced capacity factors
  Williams, C., Michaels, H., Crossland, A. F., Zhang, Z., Shirshova, N., MacKenzie, R. C. I., Sun, H., Kettle, J., Freitag, M., & Groves, C. (2023). Decarbonising electrical grids using photovoltaics with enhanced capacity factors. Energy & Environmental Science, 16(10), 4650-4659. https://doi.org/10.1039/d3ee00633f
• Public charging infrastructure for EVs: A comprehensive analysis of charging patterns & real-world insights—Case study of Rabat City, Morocco
  Rochd, A., Laamim, M., Benazzouz, A., Kissaoui, M., Raihani, A., & Sun, H. (2023). Public charging infrastructure for EVs: A comprehensive analysis of charging patterns & real-world insights—Case study of Rabat City, Morocco. Energy Reports, 9(Supplement 9), 216-234. https://doi.org/10.1016/j.egyr.2023.05.259
• A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment
  Peng, D., Xiao, H., Pei, W., Sun, H., & Ye, S. (2022). A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment. IET Smart Grid, 5(6), 430-439. https://doi.org/10.1049/stg2.12078
• Dynamic Pricing and Control for EV Charging Stations with Solar Generation
  Hernandez Cedillo, M., Sun, H., Jiang, J., & Cao, Y. (2022). Dynamic Pricing and Control for EV Charging Stations with Solar Generation. Applied Energy, 326, Article 119920. https://doi.org/10.1016/j.apenergy.2022.119920
• Blockchain-Based Peer-to-Peer Energy Trading Method
  Thompson, M. J., Sun, H., & Jiang, J. (2022). Blockchain-Based Peer-to-Peer Energy Trading Method. CSEE journal of power and energy systems, 8(5), 1318-1326. https://doi.org/10.17775/cseejpes.2021.00010
• QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks
  Alnasser, A., Sun, H., & Jiang, J. (2022). QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8223-8233. https://doi.org/10.1109/tits.2021.3076901
• Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review
  Hua, W., Chen, Y., Qadrdan, M., Jiang, J., Sun, H., & Wu, J. (2022). Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review. Renewable and Sustainable Energy Reviews, 161, Article 112308. https://doi.org/10.1016/j.rser.2022.112308
• Consumer-centric decarbonization framework using Stackelberg game and Blockchain
  Hua, W., Jiang, J., Sun, H., Teng, F., & Strbac, G. (2022). Consumer-centric decarbonization framework using Stackelberg game and Blockchain. Applied Energy, 309, Article 118384. https://doi.org/10.1016/j.apenergy.2021.118384
• Data-driven prosumer-centric energy scheduling using convolutional neural networks
  Hua, W., Jiang, J., Sun, H., Tonello, A., Qadrdan, M., & Wu, J. (2022). Data-driven prosumer-centric energy scheduling using convolutional neural networks. Applied Energy, 308, Article 118361. https://doi.org/10.1016/j.apenergy.2021.118361
• Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties
  You, M., Wang, Q., Sun, H., Castro, I., & Jiang, J. (2022). Digital Twins based Day-ahead Integrated Energy System Scheduling under Load and Renewable Energy Uncertainties. Applied Energy, 305, Article 117899. https://doi.org/10.1016/j.apenergy.2021.117899
• Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation
  Heron, J. W., Sun, H., Alizadeh‐Mousavi, O., & Crossland, A. (2021). Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation. IET Smart Grid, 4(6), 561-581. https://doi.org/10.1049/stg2.12041
• Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners
  Thomas, H., Sun, H., & Kazemtabrizi, B. (2021). Closest Energy Matching: Improving peer‐to‐peer energy trading auctions for EV owners. IET Smart Grid, 4(4), 445-460. https://doi.org/10.1049/stg2.12016
• Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks
  You, M., Zheng, G., Chen, T., Sun, H., & Chen, K.-C. (2021). Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks. IEEE Transactions on Wireless Communications, 20(6), 3723-3733. https://doi.org/10.1109/twc.2021.3053155
• Toward Pre-empted EV Charging Recommendation Through V2V Based Reservation System
  Cao, Y., Tao, J., Kaiwartya, O., Sun, H., Zhou, H., & Wang, R. (2021). Toward Pre-empted EV Charging Recommendation Through V2V Based Reservation System. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(5), 3026-3039. https://doi.org/10.1109/tsmc.2019.2917149
• A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets
  Hua, W., Jiang, J., Sun, H., & Wu, J. (2020). A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets. Applied Energy, 279, Article 115539. https://doi.org/10.1016/j.apenergy.2020.115539
• Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling
  Hua, W., Li, D., Sun, H., & Matthews, P. (2020). Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling. IET Smart Grid, 3(1), 31-41. https://doi.org/10.1049/iet-stg.2018.0109
• A Comparative Study of Deep Neural Network and Meta-model techniques in Behavior Learning of Microgrids
  Xiao, H., Pei, W., Deng, W., Kong, L., Sun, H., & Tang, C. (2020). A Comparative Study of Deep Neural Network and Meta-model techniques in Behavior Learning of Microgrids. IEEE Access, 8, 30104-30118. https://doi.org/10.1109/access.2020.2972569
• Recommendation-based Trust Model for Vehicle-to-Everything (V2X)
  Alnasser, A., Sun, H., & Jiang, J. (2020). Recommendation-based Trust Model for Vehicle-to-Everything (V2X). IEEE Internet of Things Journal, 7(1), 440-450. https://doi.org/10.1109/jiot.2019.2950083
• A Versatile Software Defined Smart Grid Testbed: Artificial Intelligence Enhanced Real-Time Co-Evaluation of ICT Systems and Power Systems
  You, M., Zhang, X., Zheng, G., Jiang, J., & Sun, H. (2020). A Versatile Software Defined Smart Grid Testbed: Artificial Intelligence Enhanced Real-Time Co-Evaluation of ICT Systems and Power Systems. IEEE Access, 8, 88651-88663. https://doi.org/10.1109/access.2020.2992906
• Coil Design for Wireless Vehicle-to-Vehicle Charging Systems
  Mou, X., Gladwin, D. T., Zhao, R., Sun, H., & Yang, Z. (2020). Coil Design for Wireless Vehicle-to-Vehicle Charging Systems. IEEE Access, 8, 172723-172733. https://doi.org/10.1109/access.2020.3025787
• Survey on Magnetic Resonant Coupling Wireless Power Transfer Technology for Electric Vehicle Charging
  Mou, X., Gladwin, D. T., Zhao, R., & Sun, H. (2019). Survey on Magnetic Resonant Coupling Wireless Power Transfer Technology for Electric Vehicle Charging. IET Power Electronics, 12(12), 3005-3020. https://doi.org/10.1049/iet-pel.2019.0529
• ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay
  Xu, J., Sun, H., & Dent, C. (2019). ADMM-based Distributed OPF Problem Meets Stochastic Communication Delay. IEEE Transactions on Smart Grid, 10(5), 5046-5056. https://doi.org/10.1109/tsg.2018.2873650
• Dynamic Charging of Electric Vehicles Integrating Renewable Energy: A Multi-Objective Optimisation Problem
  Humfrey, H., Sun, H., & Jiang, J. (2019). Dynamic Charging of Electric Vehicles Integrating Renewable Energy: A Multi-Objective Optimisation Problem. IET Smart Grid, 2(2), 250-259. https://doi.org/10.1049/iet-stg.2018.0066
• User-Centric Multiobjective Approach to Privacy Preservation and Energy Cost Minimization in Smart Home
  Chang, H.-H., Chiu, W.-Y., Sun, H., & Chen, C.-M. (2019). User-Centric Multiobjective Approach to Privacy Preservation and Energy Cost Minimization in Smart Home. IEEE Systems Journal, 13(1), 1030-1041. https://doi.org/10.1109/jsyst.2018.2876345
• Industrial Multi-Energy and Production Management Scheme in Cyber-Physical Environments: A Case Study in a Battery Manufacturing Plant
  Pei, W., Ma, X., Deng, W., Chen, X., Sun, H., & Li, D. (2019). Industrial Multi-Energy and Production Management Scheme in Cyber-Physical Environments: A Case Study in a Battery Manufacturing Plant. IET Cyber-Physical Systems: Theory & Applications, 4(1), 13-21. https://doi.org/10.1049/iet-cps.2018.5029
• Cyber Security Challenges and Solutions for V2X Communications: A Survey
  Alnasser, A., Sun, H., & Jiang, J. (2019). Cyber Security Challenges and Solutions for V2X Communications: A Survey. Computer Networks, 151, 52-67. https://doi.org/10.1016/j.comnet.2018.12.018
• Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles through Renewable Energy Integration
  Mou, X., Zhang, Y., Jiang, J., & Sun, H. (2019). Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles through Renewable Energy Integration. IEEE Access, 7, 118876-118888. https://doi.org/10.1109/access.2019.2936935
• Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets
  Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2018). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. International journal of smart grid and clean energy, 7(4), 231-239. https://doi.org/10.12720/sgce.7.4.231-239
• Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications
  Hill, E., & Sun, H. (2018). Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications. IEEE Transactions on Industrial Informatics, 14(9), 4072-4080. https://doi.org/10.1109/tii.2018.2816580
• On Statistical Power Grid Observability under Communication Constraints
  You, M., Jiang, J., Tonello, A. M., Doukoglou, T., & Sun, H. (2018). On Statistical Power Grid Observability under Communication Constraints. IET Smart Grid, 1(2), 40-47. https://doi.org/10.1049/iet-stg.2018.0009
• Demand-Response Round-Trip Latency of IoT Smart Grid Network Topologies
  Heron, J. W., Jiang, J., Sun, H., Gezerlis, V., & Doukoglou, T. (2018). Demand-Response Round-Trip Latency of IoT Smart Grid Network Topologies. IEEE Access, 6, 22930-22937. https://doi.org/10.1109/access.2018.2831254
• Inaugural Editorial
  Sun, H., & Poor, V. (2018). Inaugural Editorial. IET Smart Grid, 1(1), 1-2. https://doi.org/10.1049/iet-stg.2018.0050
• Multiobjective Optimization for Demand Side Management in Smart Grid
  Li, D., Sun, H., Chiu, W.-Y., & Poor, V. (2018). Multiobjective Optimization for Demand Side Management in Smart Grid. IEEE Transactions on Industrial Informatics, 14(4), 1482-1490. https://doi.org/10.1109/tii.2017.2776104
• A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks
  Alnasser, A., & Sun, H. (2017). A Fuzzy Logic Trust Model for Secure Routing in Smart Grid Networks. IEEE Access, 5, 17896-17903. https://doi.org/10.1109/access.2017.2740219
• Energy Efficient and Adaptive Design for Wireless Power Transfer in Electric Vehicles
  Mou, X., Groling, O., & Sun, H. (2017). Energy Efficient and Adaptive Design for Wireless Power Transfer in Electric Vehicles. IEEE Transactions on Industrial Electronics, 64(9), 7250-7260. https://doi.org/10.1109/tie.2017.2686299
• New communication strategy for spectrum sharing enabled smart grid cyber-physical system
  You, M., Liu, Q., & Sun, H. (2017). New communication strategy for spectrum sharing enabled smart grid cyber-physical system. IET Cyber-Physical Systems: Theory & Applications, 2(3), 136-142. https://doi.org/10.1049/iet-cps.2017.0051
• Analysis of Multiple Segmented Transmitters Design in Dynamic Wireless Power Transfer for Electric Vehicles Charging
  Mou, X., & Sun, H. (2017). Analysis of Multiple Segmented Transmitters Design in Dynamic Wireless Power Transfer for Electric Vehicles Charging. Electronics Letters, 53(14), 941-943. https://doi.org/10.1049/el.2016.3340
• Unified Framework for the Effective Rate Analysis of Wireless Communication Systems over MISO Fading Channels
  You, M., Sun, H., Jiang, J., & Zhang, J. (2017). Unified Framework for the Effective Rate Analysis of Wireless Communication Systems over MISO Fading Channels. IEEE Transactions on Communications, 65(4), 1775-1785. https://doi.org/10.1109/tcomm.2016.2638901
• A Novel WPT System Based on Dual Transmitters and Dual Receivers for High Power Applications: Analysis, Design and Implementation
  Li, Y., Mai, R., Lin, T., Sun, H., & He, Z. (2017). A Novel WPT System Based on Dual Transmitters and Dual Receivers for High Power Applications: Analysis, Design and Implementation. Energies, 10(2), Article 174. https://doi.org/10.3390/en10020174
• CRB-RPL: A Receiver-based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid
  Yang, Z., Ping, S., Sun, H., & Aghvami, A. H. (2016). CRB-RPL: A Receiver-based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid. IEEE Transactions on Vehicular Technology, 66(7), 5985-5994. https://doi.org/10.1109/tvt.2016.2617874
• Effective Rate Analysis in Weibull Fading Channels
  You, M., Sun, H., Jiang, J., & Zhang, J. (2016). Effective Rate Analysis in Weibull Fading Channels. IEEE Wireless Communications Letters, 5(4), 340-343. https://doi.org/10.1109/lwc.2016.2558179
• Adaptive Power Allocation Schemes for Spectrum Sharing in Interference Alignment (IA)-Based Cognitive Radio Networks
  Zhao, N., Yu, F. R., Sun, H., & Li, M. (2016). Adaptive Power Allocation Schemes for Spectrum Sharing in Interference Alignment (IA)-Based Cognitive Radio Networks. IEEE Transactions on Vehicular Technology, 65(5), 3700-3714. https://doi.org/10.1109/tvt.2015.2440428
• Achieving Autonomous Compressive Spectrum Sensing for Cognitive Radios
  Jiang, J., Sun, H., Baglee, D., & Poor, H. V. (2016). Achieving Autonomous Compressive Spectrum Sensing for Cognitive Radios. IEEE Transactions on Vehicular Technology, 65(3), 1281-1291. https://doi.org/10.1109/tvt.2015.2408258
• Cooperative Wideband Spectrum Sensing over Fading Channels
  Sun, H., Nallanathan, A., Cui, S., & Wang, C.-X. (2016). Cooperative Wideband Spectrum Sensing over Fading Channels. IEEE Transactions on Vehicular Technology, 65(3), 1382-1394. https://doi.org/10.1109/tvt.2015.2407700
• Robust Radar Emitter Recognition Based on the Three-Dimensional Distribution Feature and Transfer Learning
  Yang, Z., Qiu, W., Sun, H., & Nallanathan, A. (2016). Robust Radar Emitter Recognition Based on the Three-Dimensional Distribution Feature and Transfer Learning. Sensors, 16(3), Article 289. https://doi.org/10.3390/s16030289
• Adaptive Energy-Efficient Power Allocation in Green Interference Alignment Based Wireless Networks
  Zhao, N., Yu, R., & Sun, H. (2015). Adaptive Energy-Efficient Power Allocation in Green Interference Alignment Based Wireless Networks. IEEE Transactions on Vehicular Technology, 64(9), 4268-4281. https://doi.org/10.1109/tvt.2014.2362005
• A Multiobjective Approach to Multimicrogrid System Design
  Chiu, W.-Y., Sun, H., & Poor, H. V. (2015). A Multiobjective Approach to Multimicrogrid System Design. IEEE Transactions on Smart Grid, 6(5), 2263-2272. https://doi.org/10.1109/tsg.2015.2399497
• Interference alignment with delayed channel state information and dynamic AR-model channel prediction in wireless networks
  Zhao, N., Yu, F. R., Sun, H., Yin, H., Nallanathan, A., & Wang, G. (2015). Interference alignment with delayed channel state information and dynamic AR-model channel prediction in wireless networks. Wireless Networks, 21(4), 1227-1242. https://doi.org/10.1007/s11276-014-0850-7
• Energy Imbalance Management Using a Robust Pricing Scheme
  Chiu, W.-Y., Sun, H., & Poor, H. (2013). Energy Imbalance Management Using a Robust Pricing Scheme. IEEE Transactions on Smart Grid, 4(2), 896-904. https://doi.org/10.1109/tsg.2012.2216554
• Energy-efficient cooperative spectrum sensing schemes for cognitive radio networks
  Zhao, N., Yu, F. R., Sun, H., & Arumugam, N. (2013). Energy-efficient cooperative spectrum sensing schemes for cognitive radio networks. EURASIP Journal on Wireless Communications and Networking, 2013, Article 120. https://doi.org/10.1186/1687-1499-2013-120
• Practical Analysis of Codebook Design and Frequency Offset Estimation for Virtual-MIMO Systems
  Jiang, J., Thompson, J. S., Sun, H., & Grant, P. M. (2013). Practical Analysis of Codebook Design and Frequency Offset Estimation for Virtual-MIMO Systems. IET Communications, 7(6), 585-594. https://doi.org/10.1049/iet-com.2012.0345
• Hybrid Radar Emitter Recognition Based on Rough k-means Classifier and Relevance Vector Machine
  Yang, Z., Wu, Z., Yin, Z., Quan, T., & Sun, H. (2013). Hybrid Radar Emitter Recognition Based on Rough k-means Classifier and Relevance Vector Machine. Sensors, 13(1), 848-864. https://doi.org/10.3390/s130100848
• A Novel Interference Alignment Scheme Based on Sequential Antenna Switching in Wireless Networks
  Zhao, N., Yu, F. R., Sun, H., Arumugam, N., & Yin, H. (2013). A Novel Interference Alignment Scheme Based on Sequential Antenna Switching in Wireless Networks. IEEE Transactions on Wireless Communications, 12(10), 5008-5021. https://doi.org/10.1109/twc.2013.090413.121731
• Wideband Spectrum Sensing for Cognitive Radio Networks: A Survey
  Sun, H., Nallanathan, A., Wang, C.-X., & Chen, Y.-F. (2013). Wideband Spectrum Sensing for Cognitive Radio Networks: A Survey. IEEE Wireless Communications, 20(2), 74-81. https://doi.org/10.1109/mwc.2013.6507397
• Wideband Spectrum Sensing with Sub-Nyquist Sampling in Cognitive Radios.
  Sun, H., Chiu, W.-Y., Jiang, J., Nallanathan, A., & Poor, H. (2012). Wideband Spectrum Sensing with Sub-Nyquist Sampling in Cognitive Radios. IEEE Transactions on Signal Processing, 60(11), 6068-6073. https://doi.org/10.1109/tsp.2012.2212892
• Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios.
  Sun, H., Chiu, W.-Y., & Nallanathan, A. (2012). Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios. IEEE Communications Letters, 16(11), 1812-1815. https://doi.org/10.1109/lcomm.2012.092812.121648
• A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments
  Yin, Z., Zong, Z., Sun, H., Wu, Z., & Yang, Z. (2012). A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments. EURASIP Journal on Advances in Signal Processing, 2012, Article 229. https://doi.org/10.1186/1687-6180-2012-229
• Hybrid Radar Emitter Recognition Based on Rough K-Means Classifier and SVM
  Wu, Z., Yang, Z., Sun, H., Yin, Z., & Nallanathan, A. (2012). Hybrid Radar Emitter Recognition Based on Rough K-Means Classifier and SVM. EURASIP Journal on Advances in Signal Processing, 2012, Article 198. https://doi.org/10.1186/1687-6180-2012-198
• Performance Assessment of Virtual Multiple-Input Multiple-Output Systems with Compress-and-Forward Cooperation
  Jiang, J., Thompson, J. S., Sun, H., & Grant, P. M. (2012). Performance Assessment of Virtual Multiple-Input Multiple-Output Systems with Compress-and-Forward Cooperation. IET Communications, 6(11), 1456-1465. https://doi.org/10.1049/iet-com.2011.0169
• A Hybrid Multiuser Detection Algorithm for Outer Space DS-UWB Ad-hoc Network with Strong Narrowband Interference
  Yin, Z., Kuang, Y., Sun, H., Wu, Z., & Tang, W. (2012). A Hybrid Multiuser Detection Algorithm for Outer Space DS-UWB Ad-hoc Network with Strong Narrowband Interference. Transactions on internet and information systems (Seoul), 6(5), 1316-1332. https://doi.org/10.3837/tiis.2012.05.004
• Relaying Technologies for Smart Grid Communications
  Sun, H., Tan, B., Jiang, J., Thompson, J. S., Nallanathan, A., & Poor, H. V. (2012). Relaying Technologies for Smart Grid Communications. IEEE Wireless Communications, 19(6), 52-59. https://doi.org/10.1109/mwc.2012.6393518
• A Singular-Value-Based Adaptive Modulation and Cooperation Scheme for Virtual-MIMO Systems
  Jiang, J., Thompson, J. S., & Sun, H. (2011). A Singular-Value-Based Adaptive Modulation and Cooperation Scheme for Virtual-MIMO Systems. IEEE Transactions on Vehicular Technology, 60(6), 2495-2504. https://doi.org/10.1109/tvt.2011.2155686
• Robust Power Control for Cognitive Radio in Spectrum Underlay Networks
  Zhao, N., & Sun, H. (2011). Robust Power Control for Cognitive Radio in Spectrum Underlay Networks. Transactions on internet and information systems (Seoul), 5(7), 1214-1229. https://doi.org/10.3837/tiis.2011.07.001
• Computationally Tractable Model of Energy Detection Performance over Slow Fading Channels
  Sun, H., Laurenson, D. I., & Wang, C.-X. (2010). Computationally Tractable Model of Energy Detection Performance over Slow Fading Channels. IEEE Communications Letters, 14(10), 924-926. https://doi.org/10.1109/lcomm.2010.090710.100934

Other (Print)

• IEEE Standard for Spectrum Sensing Interfaces and Data Structures for Dynamic Spectrum Access and Other Advanced Radio Communication Systems - Amendment 1: Procedures, Protocols, and Data Archive Enhanced Interfaces
  Sun, H., & al, E. (2014). IEEE Standard for Spectrum Sensing Interfaces and Data Structures for Dynamic Spectrum Access and Other Advanced Radio Communication Systems - Amendment 1: Procedures, Protocols, and Data Archive Enhanced Interfaces
• IEEE Standards 1900.6a: Functional Requirements for Wideband Spectrum Sensing
  Sun, H., Nallanathan, A., Holland, O., & Aghvami, H. (2012). IEEE Standards 1900.6a: Functional Requirements for Wideband Spectrum Sensing