People

Professor Lu Liu

Turing Liaison (Academic) and Co-Director of Leicester Centre for Digital Manufacturing

Professor Lu Liu

School/Department: Computing and Mathematic Sciences, School of

Email: l.liu@leicester.ac.uk

Address: Ken Edward Building, KEB 520

Profile

Professor Lu Liu is a Professor at the School of Computing and Mathematical Sciences with expertise in AI, Data Science, Sustainable Systems and the Internet of Things, focusing on developing trustworthy and sustainable systems based on machine learning for health, Net Zero and digital manufacturing. He has been investigating machine learning models for large-scale sustainable ICT systems for many years and successfully developed several AI-driven methods for reducing the carbon footprint of data centres and communication systems. He is currently working on several projects on self-learning digital twining models that can learn from real-world data models, generate data and iteratively evolve over time.

Professor Liu received his PhD degree from Surrey Space Centre at the University of Surrey. He had worked as a Research Fellow at the WRG e-Science Centre at the University of Leeds. He served as Head of School from 2019-2023. Professor Liu has over 250 scientific publications in reputable journals and international conferences. He is named in the Stanford University list of World Top 2% Scientists 2023. Professor Liu has secured over 30 grants which are supported by UKRI/EPSRC, EU, Innovate UK, Royal Society, British Council and leading industries (e.g. BT, Royce-Royce, CGI). He is the Principal Investigator for the UKRI AI for Health project - SLAIDER (£750K), Principal Investigator for Leicester Innovation Accelerator (LIA) project (£2.5 Million) and Co-Investigator for the UKRI AI for Net Zero project - AI4NetZero (£2.5 Million). He received the Staff Excellence Award in Doctoral Supervision in 2018. He has been the recipient of 7 Best Paper Awards from international conferences and was invited to deliver 9 keynote speeches at international conferences.

Professor Liu is University Turing Liaison (Academic) for Turing University Network (The Alan Turing Institute), Co-Director of Leicester Centre for Digital Manufacturing (LCDM), Deputy REF Lead for UoA 11 and Executive Committee Member of Leicester Centre for Artificial Intelligence, Data Analysis, and Modelling (AIDAM). Professor Liu is a Fellow of BCS (British Computer Society). He is currently serving as an Associate Editor for Big Data Mining and Analytics (BDMA) and Peer-to-Peer Networking and Application (PPNA). He has chaired over 20 international conferences (e.g. General Chair for IEEE EUC 2023, IEEE/ACM UCC 2021, IEEE/ACM BDCAT 2021, IEEE SustainCom 2020 and Cyberlife 2019, Executive General Chair for IEEE ATC 2019, Program Chair for IEEE ITIA 2022, IEEE SmartCity 2018, IEEE CYBCONF 2017, IEEE SOSE 2016, SKG 2016, IEEE DASC 2015).

Research

- Artificial Intelligence

  • Trustworthy and explainable AI - Linking traditional and machine learning approaches to modelling to develop trust
  • Self-learning digital twins - learning from real-world data models, generating data and iteratively evolving over time
  • Light-weighted AI - resource-constrained devices
  • Edge Enhanced AI - bringing AI and HPC together into next-generation Distributed AI
  • Federated learning for protecting data privacy, data security, data access rights and access to heterogeneous data
  • Sustainable AI - reducing the energy consumption and training overhead of deep learning methods

-  AI-enabled Data Science

  • Data storage and management, privacy and information security, HPC/Cloud
  • Data processing - Imaging/video processing (healthcare, remote sensing etc), natural language processing, semantic analysis, sentiment analysis, predictive analysis, anomaly detection
  • Data integration and data fusion – develop common languages and tools that allow the integration and analysis of multimodal data in a trustworthy manner
  • Data visualisation, software/mobile application development
  • Applications – Health Data Analytics, Earth Observation data analysis; Engineering data analysis, Scientific data analysis, Workload data analysis, Commercial/business data analysis, Social media data analysis

-  Sustainable Systems

  • Energy-efficient data centres and communication systems
  • Green Edge-Cloud systems
  • Bilateral learning between ICT power demands and renewable energy systems

     -  Service Computing

  • Service Indexing and Discovery
  • Service Composition and Integration

    - Internet of Things

  • Real-time embedded systems
  • IoT system self-organisation and self-adaptation

- System of Systems Engineering

  • Evolutionary architectural design for handling changes and unknowns
  • Change prediction and management

Publications

Publications could be accessed via: https://scholar.google.com/citations?user=0s8qgaQAAAAJ&hl=en

Selected recent publications:

  • K. Han, L. Liu, Z. Liu, Y. Song, Y. Liu, C. Qiu, Y. Tang and Q. Teng, An Effective Semi-supervised Approach for Liver CT Image Segmentation, IEEE Journal of Biomedical and Health Informatics, 26(8), pp 3999-4007. 2022.
  • UU Tariq, H. Ali, L. Liu, J. Hardy, M. Kazim, W. Ahmed, Energy-aware Scheduling of Streaming Applications on Edge-devices in IoT based Healthcare, IEEE Transactions on Green Communications and Networking (TGCN), 5(2), pp 803-815, 2021.
  • H. Ning, R. Li, X. Ye, Y. Zhang, L. Liu, A Review on Serious Games for Dementia Care in Ageing Societies, IEEE Journal of Translational Engineering in Health and Medicine (JTEHM), 8, 1400411, 2020.
  • A. Miller, J. Panneerselvam, L. Liu, A Review of Regression and Classification Techniques for Analysis of Common and Rare Variants and Gene-Environmental Factors, Neurocomputing, Elsevier, 489, pp 466-485, 2022.
  • Z. Liu, K. Han, K. Xue, Y. Song, L. Liu, Y. Tang, Y. Zhu, Improving CT-image Universal Lesion Detection with Comprehensive Data and Feature Enhancements, Multimedia Systems, Vol 28, pp 1741–1752, 2022.
  • Y. Lu, L. Liu, J. Panneerselvam, B. Yuan, J. Gu, N. Antonopoulos, A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G, IEEE Transactions on Cognitive Communications and Networking (TCCN), 6(2), pp. 486 – 498, 2020. 
  • Y. Lu, L. Liu, J. Panneerselvam, X. Zhai, Xi. Sun, N. Antonopoulos, Latency-based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacentres, IEEE Transactions on Sustainable Computing (T-SUSC), 5 (3), pp. 308 – 318, 2020. 
  • J. Panneerselvam, L. Liu and N. Antonopoulos, An Approach to Optimise Resource Provision with Energy-awareness in Datacentres by Combating Task Heterogeneity, IEEE Transactions on Emerging Topics in Computing (TETC), 8 (3), pp 762 – 780, 2020. 
  • X. Zhang, H. Zhong, J. Cui, C. Gu, I, Bolodurina, L. Liu, AC-SDVN: An Access Control Protocol for Video Multicast in Software Defined Vehicular Networks, IEEE Transactions on Mobile Computing, in press, 2023. 
  • U.U. Tariq, H. Ali, M. Hussain, and L. Liu, Shuffled ARSH-FATI: A Novel Meta-Heuristic for Lifetime Maximization of Range-Adjustable Wireless Sensor Networks, IEEE Transactions on Green Communications and Networking, in press, 2023. 
  • L. Wei, J. Cui, H Zhong, I Bolodurina, L Liu, A Lightweight and Conditional Privacy-Preserving Authenticated Key Agreement Scheme with Multi-TA Model for Fog-Based VANETs, IEEE Transactions on Dependable and Secure Computing, 20(1), pp 422-436, 2023.
  • W. Yu, L. Liu, X. Wang, O. bagdasar, J. Panneerselvam, Modeling and Analyzing Logic Vulnerabilities of E-commerce Systems at the Design Phase, IEEE Transactions on Systems, Man and Cybernetics: Systems, in press, 2023. 
  • J. Cui, B. Li, H. Zhong, G. Min, Y. Xu, L. Liu, A Practical and Efficient Bidirectional Access-Control Scheme for Cloud-Edge Data Sharing, IEEE Transactions on Parallel and Distributed Systems (TPDS), 33(2), pp 476-488, 2022.
  • W. Yu, Y. Wang, L. Liu, Y. An, B. Yuan, J. Panneerselvam, A Multiperspective Fraud Detection Method for Multi-Participant E-commerce Transactions, IEEE Transactions on Computational Social Systems, in press, 2023. 
  • J. Cui, B. Li, H. Zhong, Y. Xu, L. Liu, Achieving Revocable Attribute Group-Based Encryption for Mobile Cloud Data: A Multi-Proxy Assisted Approach, IEEE Transactions on Dependable and Secure Computing, 20(4), 2023. 
  • M. Amaizu, M. Ali, A Anjum, L. Liu, A. Liotta, O. Rana, Edge-Enhanced QoS Aware Compression Learning for Sustainable Data Stream Analytics, IEEE Transactions on Sustainable Computing, in press, 2023.
  • J. Zhang, H. Zhong, J. Cui, L. Wei, L. Liu, CVAR: Distributed and Extensible Cross-Region Vehicle Authentication with Reputation for VANETs, IEEE Transactions on Intelligent Transportation Systems, in press, 2023.
  • R. Zhu, M. Li, H. Liu, L Liu, M Ma, Federated Deep Reinforcement Learning-Based Spectrum Access Algorithm with Warranty Contract in Intelligent Transportation Systems, IEEE Transactions on Intelligent Transportation Systems, 24(1):1178-1190, 2023. 
  • J. Cui, L. Wei, J. Zhang, Y. Xu, L. Liu, Proven Secure Tree-based Authenticated Key Agreement for Securing V2V and V2I Communications in VANETs, IEEE Transactions on Mobile Computing (TMC), 21(9), pp 3280 - 3297. 2022. 
  • D. Mumin, L. Shi, L. Liu, J. Panneerselvam, Data-Driven Diffusion Recommendation in Online Social Networks for the Internet of People, IEEE Transactions on Systems, Man, and Cybernetics: Systems (SMC), 52 (1), pp 166 – 178. 2022. 
  • J. Cui, Y. Shen, H. Zhong, J. Zhang, L. Liu, A Multilevel Electronic Control Unit Re-encryption Scheme for Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems,, in press, 2023.
  • H. Zhong, C. Zhang, J. Cui, Y. Xu, L. Liu, Authentication and Key Agreement Based on Anonymous Identity for Peer-to-Peer Cloud, IEEE Transactions on Cloud Computing (TCC), 10 (3), pp. 1592 – 1603. 2022. 
  • J. Cui, J. Yu, H. Zhong, L. Wei, L. Liu, Chaotic Map-Based Authentication Scheme Using Physical Unclonable Function for Internet of Autonomous Vehicle, IEEE Transactions on Intelligent Transportation Systems, 24(3), pp. 3167 – 3181, 2023. 
  • R. Zhu, H. Liu, L. Liu, X. Liu, W. Hu, B. Yuan, A Blockchain-Based Two-Stage Secure Spectrum Intelligent Sensing and Sharing Auction Mechanism, IEEE Transactions on Industrial Informatics (TII), 18 (4), pp 2773-2882, 2022.
  • Q. Zhang, J. Cui, H. Zhong, L. Liu, Toward Data Transmission Security based on Proxy Broadcast Re-encryption in Edge Collaboration, ACM Transactions on Sensor Networks, 18 (3) pp. 1–27, 2022. 
  • H. Zhong, S. Zhang, J. Cui, L. Wei; L. Liu, Broadcast Encryption Scheme for V2I Communication in VANETs, IEEE Transactions on Vehicular Technology, 71 (3), pp. 2749 - 27602749 – 2760, 2022. 
  • J. Cui, J. Chen, H. Zhong, J. Zhang, L. Liu, Reliable and Efficient Content Sharing for 5G-Enabled Vehicular Networks, IEEE Transactions on Intelligent Transportation Systems, 23 (2), pp. 1247 – 1259, 2022. 
  • J. Cui, F. Bian, H. Zhong, Q. Zhang, S. Xu, C. Gu, L. Liu, An Anonymous and Outsourcing-supported Multi-authority Access Control Scheme with Revocation for Edge-enabled IIoT System, IEEE Systems Journal, 16 (4), pp. 6569 – 6580, 2022. 
  • X. Zhang, H. Zhong, J. Cui, I. Bolodurina, L. Liu, LBVP: A Lightweight Batch Verification Protocol for Fog-Based Vehicular Networks Using Self-Certified Public Key Cryptography, IEEE Transactions on Vehicular Technology (TVT), 71 (5), pp. 5519 – 5533, 2022. 
  • J. Cui, J. Lu, H. Zhong, Q. Zhang, C. Gu, L. Liu, Parallel Key-Insulated Multiuser Searchable Encryption for Industrial Internet of Things, IEEE Transactions on Industrial Informatics (TII), 18, (7), pp. 4875 – 4883, 2022. 
  • H. Zhong, L. Chen, J. Cui, J. Zhang, I. Bolodurina, L. Liu, Secure and Lightweight Conditional Privacy-Preserving Authentication for Fog-Based Vehicular Ad-Hoc Networks, IEEE Internet of Things Journal, 9 (11), pp 5519 – 5533, 2022. 
  • H. Zhong, J. Ni, J. Cui, J. Zhang, L. Liu, Personalized Location Privacy Protection Based on Vehicle Movement Regularity in Vehicular Networks, IEEE Systems Journal, 16, (1), pp. 755 – 766. 2022. 
  • H. Zhong, J. Xu, J. Cui, X. Sun, C. Gu, L. Liu, Prediction-based dual-weight switch migration scheme for SDN load balancing, Computer Networks, Elsevier, 205, 2022. 
  • R. Saleem, B. Yuan, F. Kurugollu, A. Anjum, L. Liu, Explaining Deep Neural Networks: A Survey on the Global Interpretation Methods, Neurocomputing, Elsevier, 16 (4), pp. 6569 – 6580, 2022.
  • Y. Wu, F. Tao, L. Liu, J. Gu, J. Panneerselvam, R. Zhu, Mohammad Nasir Shahzad, A Bitcoin Transaction Network Analytic Method for Future Blockchain Forensic Investigation, IEEE Transactions on Network Science and Engineering (TNSE), 8 (2), pp. 1230 – 1241. 2021. 
  • J. Zhang, J. Cui, H. Zhong, Z. Chen, L. Liu, PA-CRT: Chinese Remainder Theorem Based Conditional Privacy-preserving Authentication Scheme in Vehicular Ad-hoc Networks, IEEE Transactions on Dependable and Secure Computing (TDSC), 18 (2), pp. 722 – 735, 2021. 
  • F. Ahmad, F. Kurugollu, C.A. Kerrachey, S. Sezerz, L. Liu, NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles, IEEE Transactions on Vehicular Technology (TVT), 70 (9), 2021.  
  • J. Zhang, J. Cui, H. Zhong, I. Bolodurina, L.Liu, Intelligent Drone-assisted Anonymous Authentication and Key Agreement for 5G/B5G Vehicular Ad-hoc Networks, IEEE Transactions on Network Science and Engineering (TNSE), 8(4), pp. 2982-2994, 2021. 
  • N. Lin, Q. Zhao, L. Zhao, A. Hawbani, L. Liu, G. Min, A Novel Cost-Effective Controller Placement Scheme for Software-Defined Vehicular Networks, IEEE Internet of Things Journal, 8, (18), pp.14080 – 14093, 2021. 
  • H. Ali, UU Tariq, M. Hussain, L. Liu, J. Panneerselvam and X. Zhai, ARSH-FATI: a Novel Meta-heuristic for Cluster Head Selection in Wireless Sensor Networks, IEEE Systems Journal, 15, (2), pp. 2386 – 2397, 2021. 
  • L. Shi, L. Liu, L. Jiang, R. Zhu, J. Panneerselvam, QoS Prediction for Smart Service Management and Recommendation based on the Location of Mobile User, Neurocomputing, Elsevier, 471, pp 12-20, 2021. 
  • Q. Zhang, H. Zhong, W. Shi, L. Liu, A Trusted and Collaborative Framework for Deep Learning in IoTs, Computer Networks, Elsevier, 193, 2021.
  • H. Zhong, J. Fan, J. Cui, Y. Xu, L. Liu, Assessing Profit of Prediction for SDN Controllers Load Balancing, Computer Networks, Elsevier, 191, 2021. 
  • X. Feng, Q. Shi, Q. Xie, L. Liu, An Efficient Privacy-preserving Authentication Model based on Blockchain for VANETs, Journal of Systems Architecture, Elsevier, 117, 2021.
  • H. Ali, UU Tariq, J. Hardy, X. Zhai, L Liu, Y. Zheng, F. Bensaali, A. Amira, K. Fatema, N. Antonopoulos, A Survey on System Level Energy Optimisation for MPSoCs in IoT and Consumer Electronics, Computer Science Review, Elsevier, 41, 2021 
  • J. Zhang, H. Zhong, J. Cui, M. Tian, Y. Xu, L. Liu, Edge Computing-based Privacy-preserving Authentication Framework and Protocol for 5G-enabled Vehicular Networks, IEEE Transactions on Vehicular Technology (TVT), 69 (7), pp. 7940 – 7954, 2020. 
  • J. Cui, X. Zhang, H. Zhong, J. Zhang, L. Liu, Extensible Conditional Privacy Protection Authentication Scheme for Secure Vehicular Networks in a Multi-Cloud Environment, IEEE Transactions on Information Forensics & Security (TIFS), 15, pp. 1654 – 1667, 2020.
  • L. Shi, L. Liu, Y. Wu, L. Jiang, J. Panneerselvam, R. Crole, A Social Sensing Model for Event Detection and User Influence Discovering in Social Media Data Streams, IEEE Transactions on Computational Social Systems (TCSS), 7 (1), pp. 141-150, 2020. 
  • J. Cui, L. Wei, H. Zhong, J. Zhang, Y. Xu, L. Liu, Edge Computing in VANETs-An Efficient and Privacy-Preserving Cooperative Downloading Scheme, IEEE Journal on Selected Areas in Communications (JSAC), 38 (6), pp 1191 – 1204, 2020. 
  • J. Zhang, H. Zhong, J. Cui, Y. Xu, L. Liu, An Extensible and Effective Anonymous Batch Authentication Scheme for Smart Vehicular Networks, IEEE Internet of Things Journal, 7 (1), pp 141 – 150, 2020. 
  • J. Zhang, H. Zhong, J. Cui, Y. Xue, L. Liu, SMAKA: Secure Many-to-Many Authentication and Key Agreement Scheme for Vehicular Networks, IEEE Transactions on Information Forensics & Security (TIFS), 16, pp. 1810 – 1824, 2020. 
  • B. Yuan, J. Panneerselvam, L. Liu, N. Antonopoulos, Y. Lu, An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence, IEEE Transactions on Industrial Informatics (TII), 15 (7), pp. 4295 – 4305, 2019. 
  • L. Jiang, L. Shi, L. Liu, B. Yuan, Y. Zheng, An Efficient Evolutionary User Interest Community Discovery Model in Dynamic Social Networks for Internet of People, IEEE Internet of Things Journal, 6(6), pp. 9226 – 9236, 2019. 
  • J. Cui, X. Zhang, H. Zhong, Z. Ying, L. Liu, RSMA: Reputation System-based Lightweight Message Authentication Framework and Protocol for 5G-enabled Vehicular Networks, IEEE Internet of Things Journal, 6(4), pp. 6417 – 6428, 2019. 
  • UU Tariq, H. Ali, L. Liu, J. Panneerselvam, X. Zhai, Energy-efficient Static Scheduler on VFI based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-Physical Systems, ACM Transactions on Intelligent Systems and Technology (TIST), 10(6), 66:1-22, 2019.
  • L. Shi, L. Liu, Y. Wu, L. Jiang, M. Kazim, H. Ali and J. Panneerselvam, Human-centric Cyber Social Computing Model for Hot Event Detection and Propagation, IEEE Transactions on Computational Social Systems (TCSS), 6(5), pp 1042 – 1050, 2019. 
  • J. Cui, Q. Lu, H. Zhong, M. Tian, and L. Liu, A Load-balancing Mechanism for Distributed SDN Control Plane Using Response Time, IEEE Transactions on Network and Service Management (TNSM), 15(4), pp. 1197 – 1206, 2018. 
  • D. Miao, L. Liu, R. Xu, Y. Wu, W. Xu, An Efficient Indexing Model for the Fog Layer of Industrial Internet of Things, IEEE Transactions on Industrial Informatics (TII), 14(10), pp. 4487 – 4496, 2018. 
  • X. Shen, Q. Chang, L. Liu, J. Panneerselvam, and Zheng-Jun Zha, CCLBR: Congestion Control-Based Load Balanced Routing in Unstructured P2P Systems, IEEE Systems Journal, 12(1), pp 802 – 813, 2018. 
  • Y. Guo, L. Liu, Y. Wu, J. Hardy, Interest-Aware Content Discovery in Peer-to-Peer Social Networks, ACM Transactions on Internet Technology (TOIT), 18(3), 39:1-21, 2018.
  • L. Liu, N. Antonopoulos, M. Zheng, Y. Zhan, Z. Ding, A Socioecological Model for Advanced Service Discovery in Machine-to-Machine Communication Networks, ACM Transactions on Embedded Computing Systems (TECS), 15(2), pp 38:1–38:26, 2016. 
  • Z. Li, R. Chen, L. Liu, and G. Min, Dynamic Resource Discovery based on Preference and Movement Pattern Similarity for Large-Scale Social Internet-of-Things, IEEE Internet of Things Journal, 3(4), pp 581 – 589, 2016. 
  • H. Al-Aqrabi, L. Liu, R. Hill, N. Antonopoulos, Cloud BI: Future of Business Intelligence in the Cloud, Journal of Computer and System Sciences, Elsevier, 81 (1), pp 85–96, 2015. 
  • Y. Wu, C. Yan, L. Liu, Z. Ding and C. Jiang, An Adaptive Multilevel Indexing Method for Disaster Service Discovery, IEEE Transactions on Computers (TC), 64(9), pp 2447 – 2459, 2015. 
  • X. Shen, L. Liu, P. Gu, Z. Jiang, J. Chen, J. Panneerselvam, Achieving Dynamic Load Balancing through Mobile Agents in Small World P2P Networks, Computer Networks, Elsevier, 75, pp. 134-148, 2014.
  • J. Xu, D. Zhang, L. Liu, X. Li, Dynamic Authentication for Cross-Realm SOA-Based Business Processes, IEEE Transactions on Service Computing (TSC), 5(1), pp. 20-32, 2012.

 

    Supervision

    Professor Lu Liu provides professional supervision for PhD students supporting and guiding them to make outstanding achievement. He has successfully supervised 13 PhD students to completion. Eleven of them received academic jobs in universities and two of them secured jobs in leading IT industries. Prof. Liu received Staff Excellence Award for Excellence in Doctoral Supervision in 2018.

    If you are interested in doing a PhD in the areas of AI, Data Science, Sustainable Computing or the Internet of Things, please feel free to contact Professor Liu at l.liu@leicester.ac.uk.

    Teaching

    CO3201 Computer Science Project

    CO3202 Entrepreneurial Project

    CO4015 MComp Project

    Activities

    • Keynote Speech, 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 2023)
    • Keynote Speech, 20th International Conference on Computer and Information Technology (CIT-2021)
    • Panel Keynote, 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2020)
    • Keynote Speech, 18th IEEE International Conference on Ubiquitous Computing and Communication 2019 (IEEE IUCC 2019)
    • Keynote Speech, 19th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2019)
    • Keynote Speech, 20th IEEE High Performance Computing and Communication 2018 (IEEE HPCC 2018)
    • Keynote Speech, 2017 International Workshop on Heterogeneous Wireless Networks and Quality-of-Experience (HWNQoE-2017)
    • Keynote Speech, International Conference on Service Science, Technology and Engineering (SSTE 2016)
    • Keynote Speech,  2015 International Workshop on Heterogeneous Wireless Networks and Quality-of-Experience (HWNQoE-2015)
    • Keynote Speech,  Cybermatics Forum, Smart Word Congress (SWC), 2015

    Awards

    • Best Paper Award, 4th International Conference on Data Science and Computational Intelligence 2021 (DSCI 2021)
    • Best Paper Award, 10th IEEE International Conference on Big Data and Cloud Computing 2020 (IEEE BDCloud 2020)
    • Excellent Paper Award of 2020, Journal of Big Data Mining and Analytics, 2020
    • Best Paper Award, 7th International Conference on Smart City and Informatization 2019 (iSCI 2019)
    • Staff Excellence Award for Excellence in Doctoral Supervision, 2018
    • Best Paper Award, 4th IEEE International Conference on Data Science and Systems (IEEE DSS 2018)
    • IEEE Outstanding Leadership Award, 16th IEEE International Conference on Smart City 2018 (IEEE SmartCity 2018)
    • Best Paper Award, 10th IEEE International Conference on Cyber, Physical and Social Computing (IEEE CPSCom 2017)
    • Best Paper Award, 13th IEEE International Conference on Pervasive Intelligence and Computing (IEEE PICom 2015)
    • Faculty Research Award, Faculty of Business, Computing and Law, University of Derby, 2012
    • Promising Researcher, 2011
    • Best Paper Award, International Conference on Realising Network Enabled Capability, 2008

    Conferences

    • General Chair, the 21st IEEE International Conference on Embedded and Ubiquitous Computing (IEEE EUC 2023)
    • Program Chair, 2022 IEEE International Conference on Internet of Things and Intelligent Applications (ITIA 2022)
    • Program Chair, 20th International Conference on Ubiquitous Computing and Communications (IUCC 2021)
    • General Chair, 9th IEEE International Conference on Smart City and Informatization (IEEE iSCI 2021)
    • General Chair, 14th IEEE/ACM International Conference on Utility and Cloud Computing(IEEE/ACM UCC 2021)
    • General Chair, 10th IEEE International Conference on Sustainable Computing and Communications (IEEE SustainCom 2020)
    • Organising Chair, 13th IEEE/ACM International Conference on Utility and Cloud Computing (IEEE/ACM UCC 2020)
    • Organising Chair, 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (IEEE/ACM BDCAT 2020)
    • General Chair, International Conference on Cyber-Living, Cyber-Syndrome and Cyber-Health 2019 (Cyberlife 2019)
    • Executive General Chair, 16th IEEE International Conference on Advanced and Trusted Computing (IEEE ATC 2019)
    • Program Chair, 15th International Conference on Semantics, Knowledge and Grids 2016 (SKG 2019)
    • General Chair, 5th International Symposium on Real-time Data Processing for Cloud Computing 2019
    • Program Chair, 16th IEEE International Conference on Smart City (IEEE SmartCity 2018)
    • General Committee Member, 9th IEEE/ACM International Conference on Utility and Cloud Computing (IEEE/ACM UCC 2017)
    • Steering Committee Member, 10th IEEE International Conference on Cyber, Physical, Social Computing (IEEE CPSCom 2017)
    • Program Chair, 3rd IEEE International Conference on Cybernetics (IEEE CYBCONF 2017)
    • Organising Chair, 9th IEEE/ACM International Conference on Utility and Cloud Computing (IEEE/ACM UCC 2016)
    • Program Chair, 12th International Conference on Semantics, Knowledge and Grids 2016 (SKG 2016)
    • Program Chair, 10th IEEE International Conference on Service-Oriented System Engineering (IEEE SOSE 2016)
    • General Co-Chair, IEEE International Conference on Internet of People (IEEE IoP 2015)
    • Program Chair, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (IEEE DASC 2015)

     

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