Prof. Chunming Rong has been an academician of the Norwegian Academy of Technological Sciences (NTVA) since 2011 and an academician of the World Digital Technology Academy (WDTA) under the United Nations (UN) framework since 2024. He works as the head of the Data-centered and Secure Computing (DSComputing) at the University of Stavanger (UiS) and as Chief Scientist (adjunct) at NORCE Norwegian Research Centre. He is also co-founder and CEO of two start-ups bitUnitor (previous bitYoga) and Dataunitor in Norway, both received EU Seal of Excellence Award in 2018. Prof. Rong is the chair of IEEE CS STC on Blockchain and is active in the IEEE Future Directions, where he served as a co-chair of IEEE Blockchain in 2018, as the chair of IEEE Cloud Computing 2017-2020, and as the founder and Steering Chair of IEEE CloudCom conference and workshop series. Furthermore, he was the vice president of CSA Norway Chapter (2016-2017). He is co-Editors-in-Chief of the journal “Blockchain: Research and Applications” by Elsevier, Editors-in-Chief of the Journal of Cloud Computing (ISSN: 2192-113X) by Springer, and has served as the steering chair (2016-2019), and associate editor of the IEEE Transactions on Cloud Computing (TCC) since 2016. Prof. Rong has extensive experience in managing large-scale R&D projects, both in Norway and EU. He has extensive contact network and projects in both the industry and academic. His research work focuses on cloud computing, cyber security, blockchain, with three granted EU/USA patents. He is a co-founder of the open-source initiative of Open Infrastructure-as-code (OpenIaC.org), fostering innovations on tokenized assets, providing important framework in projects such as the Norwegian Smart Energy Neighborhood (SmartNEM), the National Centre for Sustainable Subsurface Utilization of the Norwegian Continental Shelf (NCS2030) for Carbon and Hydrogen Storage, the EU ArtiConf.eu building tools for decentralized applications (e.g. ESG reporting), the TradeRES.eu developing and testing an innovative electricity market design that can meet society’s needs in a near fully renewable power system.
Prosjekter
Publikasjoner
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Vitenskapelig artikkelFederated large domain model system– Blockchain: Research and Applications 2025
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Vitenskapelig oversiktsartikkelOnline deep learning’s role in conquering the challenges of streaming data: a survey– Knowledge and Information Systems 2025
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Vitenskapelig artikkelA blockchain based efficient incentive mechanism in tripartite cyber threat intelligence service marketplace– Blockchain: Research and Applications 2025
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Vitenskapelig kapittelFlexible and secure code deployment in federated learning using large language models : Prompt engineering to enhance malicious code detection– 2024
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Vitenskapelig artikkelProfit-Aware Cooperative Offloading in UAV-Enabled MEC Systems Using Lightweight Deep Reinforcement Learning– IEEE Internet of Things Journal 2024
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Vitenskapelig artikkelQoS Aware Virtual Network Embedding in Space-Air-Ground-Ocean Integrated Network– IEEE Transactions on Services Computing 2024
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Vitenskapelig artikkelUAV Dynamic Service Function Chains Deployment Based on Security Considerations: A Reinforcement Learning Method– IEEE Internet of Things Journal 2024
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Vitenskapelig kapittelFederated AI Chat System: Tackling Tacit Knowledge Management– 2024
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Vitenskapelig artikkelPriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds– Lecture Notes in Computer Science (LNCS) 2024
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Vitenskapelig artikkelNewbornTime - improved newborn care based on video and artificial intelligence - study protocol– BMC Digital Health 2023
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Vitenskapelig kapittelTPMR : A novel method for automated identification of well pressure transients– 2023
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KonferanseforedragAn Isolation-aware Online Virtual Network Embedding via Deep Reinforcement Learning– 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops 2023
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KonferanseforedragA Survey on Dataset Distillation: Approaches, Applications and Future Directions– Thirty-Second International Joint Conference on Artificial Intelligence 2023
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KonferanseforedragSolving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks– Northern Lights Deep Learning Workshop 2023 2023
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KonferanseforedragTowards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images– 2023 IEEE International Conference on Digital Health (ICDH) 2023
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Vitenskapelig artikkelResource Allocation With Workload-Time Windows for Cloud-Based Software Services: A Deep Reinforcement Learning Approach– IEEE Transactions on Cloud Computing 2023
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Vitenskapelig kapittelCross-domain knowledge discovery and sharing in digital subsurface based on federated learning– 2023
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Vitenskapelig kapittelA Control Volume Material Balance Approach and Its Applications to Real-Time Flow Diagnostics– 2023
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Vitenskapelig artikkelImproved Gradient Inversion Attacks and Defenses in Federated Learning– IEEE Transactions on Big Data 2023
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Vitenskapelig kapittelAn isolation-aware online virtual network embedding via deep reinforcement learning– 2023
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Vitenskapelig oversiktsartikkelReview of Different Methods for Identification of Transients in Pressure Measurements by Permanent Downhole Gauges Installed in Wells– Energies 2023
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Vitenskapelig artikkelTime Controlled Expressive Predicate Query With Accountable Anonymity– IEEE Transactions on Services Computing 2023
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Vitenskapelig artikkelSolving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks– Proceedings of the Northern Lights Deep Learning Workshop 2023
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Vitenskapelig kapittelTowards a privacy-preserving distributed cloud service for preprocessing very large medical images– 2023
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Vitenskapelig artikkelLoad Balancing for Multiedge Collaboration in Wireless Metropolitan Area Networks: A Two-Stage Decision-Making Approach– IEEE Internet of Things Journal 2023
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Vitenskapelig artikkelGreen communication approach for the smart city using renewable energy systems– Energy Reports 2022
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Vitenskapelig artikkelIntegrating big data and blockchain to manage energy smart grids—TOTEM framework– Blockchain: Research and Applications 2022
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Vitenskapelig kapittelNFT as a proof of digital ownership-reward system integrated to a secure distributed computing blockchain framework– 2022
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Vitenskapelig kapittelBlockchain Empowered and Self-sovereign Access Control System– 2022
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Vitenskapelig kapittelAnomaly Detection in Smart Meter Data for Preventing Potential Smart Grid Imbalance– 2022
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Vitenskapelig artikkelOpenIaC: open infrastructure as code - the network is my computer– Journal of Cloud Computing 2022
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KonferanseforedragFederated Knowledge Cloud for Energy AI by the National Centre NCS2030 of Norway– The November Conference - Brazil and Norway 2022
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Vitenskapelig kapittelQuantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images– 2022
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KonferanseforedragTowards general deep leakage in federated learning– International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22) 2022
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Vitenskapelig artikkelDual Traceable Distributed Attribute-Based Searchable Encryption and Ownership Transfer– IEEE Transactions on Cloud Computing 2021
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Vitenskapelig artikkelJoint computation offloading and deployment optimization in multi-UAV-enabled MEC systems– Peer-to-Peer Networking and Applications 2021
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Vitenskapelig kapittelDID-eFed : Facilitating federated learning as a service with decentralized identities– 2021
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Vitenskapelig artikkelBlockchain Based Transaction System with Fungible and Non-Fungible Tokens for a Community-Based Energy Infrastructure– Sensors 2021
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Vitenskapelig artikkelAn Ensemble Approach for Multi-Step Ahead Energy Forecasting of Household Communities– IEEE Access 2021
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Vitenskapelig artikkelBlockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering– Blockchain: Research and Applications 2021
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AviskronikkUser controlled, decentralized, distributed, and secure content distribution– 2021
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Faglig kapittelUtilization of Big Data in Energy Internet Infrastructure– 2020
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Faglig kapittelArtificial Intelligence Models Used for Prediction in the Energy Internet– 2020
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Vitenskapelig artikkelQHSE : An efficient privacy-preserving scheme for blockchain-based transactions– Future Generation Computer Systems 2020
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Vitenskapelig artikkelPrivacy-Preserving Medical Treatment System Through Nondeterministic Finite Automata– IEEE Transactions on Cloud Computing 2020
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Vitenskapelig artikkelPSO-GA-Based Resource Allocation Strategy for Cloud-Based Software Services with Workload-Time Windows– IEEE Access 2020
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Vitenskapelig kapittelA blockchain-based distributed controllable electricity transaction match system– 2020
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Vitenskapelig kapittelDeep Learning for Short-Term Energy Load Forecasting Using Influential Factors– 2020
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Vitenskapelig artikkelContractguard: Defend ethereum smart contract with embedded intrusion detection– Chinese Journal of Network and Information Security 2020
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Vitenskapelig artikkelAdaptive Resource Allocation and Consolidation for Scientific Workflow Scheduling in Multi-Cloud Environments– IEEE Access 2020
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Vitenskapelig kapittelEquipment Life Cycle Management Based on Private Blockchain and Smart Contract– 2020
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Vitenskapelig artikkelEnhanced Semantic-Aware Multi-Keyword Ranked Search Scheme Over Encrypted Cloud Data– IEEE Transactions on Cloud Computing 2020
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Vitenskapelig artikkelIntroducing a New Toolbox for Theory of Connection– International Journal of Simulation. Systems, Science and Technology 2020
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Vitenskapelig artikkelSecure data transportation with software-defined networking and k-n secret sharing for high-confidence IoT services– IEEE Internet of Things Journal 2020
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Vitenskapelig kapittelDistributed Fog Computing Architecture for Real-Time Anomaly Detection in Smart Meter Data– 2020
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Vitenskapelig kapittelA Trustworthy Blockchain-based DecentralisedResource Management System in the Cloud– 2020
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Vitenskapelig artikkelFog Computing for Realizing Smart Neighborhoods in Smart Grids– Computers 2020
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Vitenskapelig kapittelNeural Network Architectures for Electricity Consumption Forecasting– 2019
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Vitenskapelig kapittelEvolutionary Ensemble LSTM based Household Peak Demand Prediction– 2019
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Vitenskapelig oversiktsartikkelA widespread review of smart grids towards smart cities– Energies 2019
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KonferanseforedragAssessing the importance of energy management in smart homes– 4th International Conference on Viable Energy Trends (InVEnT2019) 2019
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Vitenskapelig artikkelHousehold Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures– Sensors 2019
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Vitenskapelig kapittelNeural Network Frameworks. Comparison on Public Transportation Prediction– 2019
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Vitenskapelig kapittelCloud Computing: History and Overview– 2019
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Vitenskapelig artikkelAdvancing Deep Learning to Improve Upstream Petroleum Monitoring– IEEE Access 2019
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Vitenskapelig kapittelA Cost-efficient Protocol for Open Blockchains– 2019
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Vitenskapelig kapittelTOTEM : Token for controlled computation: Integrating Blockchain with Big Data– 2019
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Vitenskapelig kapittelTransactive Energy on Hyperledger Fabric– 2019
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KonferanseforedragHousehold EV Charging Demand Prediction Using Machine and Ensemble Learning– The 2nd IEEE International Conference on Energy Internet (ICEI 2018) 2018
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KonferanseforedragHousehold Energy Consumption Prediction using Evolutionary Ensemble Neural Network– The 13th World Congress on Engineering Asset Management 2018
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KonferanseforedragEquipment Life Cycle Management Based on Private Blockchain and Smart Contract– The 13th World Congress on Engineering Asset Management 2018
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Vitenskapelig artikkelEfficient Regular Language Search for Secure Cloud Storage– IEEE Transactions on Cloud Computing 2018
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Vitenskapelig kapittelMeasuring Network Centrality in Petri Nets– 2018
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Vitenskapelig artikkelAccountable privacy-preserving mechanism for cloud computing based on identity-based encryption– IEEE Access 2018
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Vitenskapelig artikkelEfficient traceable authorization search system for secure cloud storage– IEEE Transactions on Cloud Computing 2018
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Vitenskapelig kapittelData recovery in cloud using forensic tools– 2018
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KonferanseforedragData Services enabled by Blockchain and Distributed Ledger Technologies– Seminar: Research Partnership on High Performance Computing 2018
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Vitenskapelig kapittelEnergy Informatics Applicability; Machine Learning and Deep Learning– 2018
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Vitenskapelig kapittelBlocknetwork for Big Information Fusion and NoSQL Knowledgebase Management– 2018
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Vitenskapelig kapittelHousehold EV Charging Demand Prediction Using Machine and Ensemble Learning– 2018
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Vitenskapelig kapittelResource Allocation in Cloud-Based Distributed Cameras– 2017
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KonferanseforedragPrivacy and Accountability in Data Services– SUPERDATA Summer School 2017 2017
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Vitenskapelig kapittelA framework for improving security in cloud computing– 2017
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Vitenskapelig artikkelFramework for context-aware computation offloading in mobile cloud computing– Journal of Cloud Computing 2017
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Vitenskapelig kapittelHybridization of PMF and LSTM for Recommendation of Intelligent Resource– 2017
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Vitenskapelig kapittelSD-HDFS: Secure Deletion in Hadoop Distributed File System– 2016
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Vitenskapelig artikkelAn efficient cascaded method for network intrusion detection based on extreme learning machines– The Journal of Supercomputing 2016
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Vitenskapelig artikkelPerfect Gaussian integer sequences from cyclic difference sets– IEEE International Symposium on Information Theory. Proceedings 2016
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Vitenskapelig kapittelEnrichment of Machine Learning based Activity Classification in Smart Homes using Ensemble Learning– 2016
