Professor Jing Jiang

Professor

School: Engineering, Physics and Mathematics

Prof. Jing Jiang is a Professor in Electrical Engineering in the School of Engineering Physics and Mathematics, and joined the University of Northumbria at Newcastle in Sept. 2018. She received her Ph.D. degree in Electrical and Electronics Engineering from the University of Edinburgh (U.K.) in 2011. She was then a Research Fellow in the Institute for Communication Systems at the University of Surrey, where she was involved in the 5G Innovation Centre as a main researcher for the key work area of New Air-interface. From 2015 to 2018, she was a Research Associate in the Department of Engineering at the University of Durham, and performed research on information and communication technologies in smart grids. At Durham, she was involved in the EU H2020-MSCA project "TESTBED" (2017-2019, €882k), the EPSRC project "TOPMOST" (2016-2018, £101k), the EU H2020 project "SmartEMC2" (2015-2017, €3.8M), and the ERDF project "SWIi" (2017-2019, £2.5M).

Now she is Northumbria Principal Investigator (PI) for:

EU “TESTBED2” project (2020-2025, ID: 872172) with a total €1.46M funding from the EU under H2020 Marie Curie Research and Innovation Staff Exchange programme, testing and evaluating sophisticated information and communication technologies for enabling scalable smart grid deployment. 10.3030/872172
UKRI “VPP-WARD” Project (05/2023-03/2026, EP/Y005376/1) with a total £1.84M funding from UKRI to work on Virtual Power Plant with Artificial intelligence (AI) for Resilience and Decarbonisation and to help the UK meet its Net Zero targets. https://www.vppward.com
UKRI's first-round of cross research council responsive mode "SAT-Guard" project (01/2025-06/2027) with a total £1M funding from UKRI to work on Satellite-aided technologies for advancing resilience and guarding energy services under climate hazards, risks, and disasters. News: Satellites could hold the key to keeping the lights turned on
EPSRC Federated Telecoms Hub 6G Research Partnership Funds "SustainAIRA6G" Project (07/2024-07/2025) to work on energy-efficient sustainable AI-driven resource allocation for 6G-empowered Edge-Fog-Cloud Continuum.

Dr Jing Jiang was an EPSRC-WES Ambassador for Women in Engineering (2023-2025). Her current research interests include data-driven energy scheduling, consumer-centric decarbonisation, AI and digital twins in future energy systems. She has been involved in a number of activities with the Institute of Electrical and Electronics Engineers (IEEE): She is serving (or served) as a technical program committee (TPC) member for many IEEE flagship conferences, e.g., IEEE ICC, IEEE VTC, and IEEE/CIC ICCC. She is a peer reviewer for a number of IEEE prestigious journals. She is on the Editorial Board of IET Smart Grid Journal as a Subject Editor, IET Communications Journal as an Associate Editor (2019-2022), and EURASIP Journal on Wireless Communications and Networking as an Associate Editor (2020-2024).

Campus Address

Ellison Building, Room E404
Northumbria University
Newcastle upon Tyne
NE1 8ST

Email Jing

Research Themes and Scholarly Interests

AI and Digital Twins in Future Energy Systems
Wireless Communication Technologies for Smart Grids
Data-driven Energy Scheduling and Decarbonisation
Cyber Security in Smart Grid Systems
Next Generation Wireless Communication Systems

Key Publications

Please visit the Pure Research Information Portal for further information
A physics-informed machine learning framework for climate-aware digital twins in decentralised energy systems, Cavus, M., Jiang, J., Allahham, A., Sun, H. 1 Aug 2026, In: Applied Energy
Deep Multi-Task Forecasting of Net-Load and EV Charging with a Residual-Normalised GRU in IoT-Enabled Microgrids, Cavus, M., Jiang, J., Allahham, A. 7 Jan 2026, In: Energies
Digital twins for hazard-resilient power grids: A systematic review and roadmap, Cavus, M., Jiang, J., Allahham, A., Rameshrao, A., Scullion, E., Malamud, B., Sun, H., Ng, W. 1 Jul 2026, In: Renewable and Sustainable Energy Reviews
Learning-enhanced stochastic model predictive control with trustworthy forecasting for resilient multi-energy microgrid operation, Cavus, M., Jiang, J., Allahham, A., Sun, H. 30 Jun 2026, In: Applied Energy
PIUL-DERs: Physics-informed pseudo-labeling unsupervised learning for smart homes with distributed energy resources, Huang, Y., Jiang, J., Gao, Z., Sun, H., Gao, Z. 15 Jan 2026, In: Applied Energy
Real-time Preventive Islanding Scheme of Transmission Network Under Storm Attack, Hu, W., Harsh, P., Shahbazi, M., Jiang, J., Sun, H. 14 Apr 2026, 2026 11th Asia Conference on Power and Electrical Engineering (ACPEE), Piscataway, NJ, IEEE
Resilience quantification and enhancement of typhoon-affected distribution system with virtual power plant, Harsh, P., Sun, H., Das, D., Rameshrao, A., Jiang, J. 6 Aug 2026, In: Applied Energy
Sparse auto-encoder assisted data attack resilient protection scheme for cyber-physical microgrids based on identification of critical sensors, Rameshrao, A., Koley, E., Ghosh, S., Jiang, J., Sun, H. 1 Jan 2026, In: Engineering Applications of Artificial Intelligence
Towards Net-Zero Computing: Carbon-Aware Energy Scheduling for Data Centres, Rameshrao, A., Jiang, J., Dai, X., Ni, Q., Sun, H. 3 Jun 2026, Proceedings - 2026 8th Global Power, Energy and Communication Conference: (IEEE GPECOM 2026), Piscataway, US, IEEE
A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response, Chen, W., Sun, H., You, M., Jiang, J., Rivera, M. 11 Feb 2025, In: Energies

PGR Supervision

Jayasuriya Mahatelge Peiris Towards Optimal Digitalisation in Smart Local Energy Systems Start Date: 01/10/2023 End Date: 17/10/2025
Jayasuriya Mahatelge Peiris Towards Optimal Digitalisation in Smart Local Energy Systems Start Date: 01/10/2023

Qualifications