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 kapittelPrecision in Building Extraction : Comparing Shallow and Deep Models Using LiDAR Data– 2024
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Vitenskapelig artikkelUnderstanding Federated Learning from IID to Non-IID dataset: An Experimental Study– NIKT: Norsk IKT-konferanse for forskning og utdanning 2024
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Vitenskapelig artikkelGenetic Algorithm Empowering Unsupervised Learning for Optimizing Building Segmentation from Light Detection and Ranging Point Clouds– Remote Sensing 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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KonferanseforedragLeveraging YOLOv8 Fine-Tuning and SEEM Inference for Accurate Building Segmentation Using RGB and LiDAR Datasets– 2nd International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA) 2024
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Vitenskapelig kapittelFederated AI Chat System: Tackling Tacit Knowledge Management– 2024
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Vitenskapelig artikkelEquipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs– BMC Medical Informatics and Decision Making 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 artikkelBuilding Precision: Efficient Encoder-Decoder Networks for Remote Sensing Based on Aerial RGB and LiDAR Data– IEEE Access 2024
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Vitenskapelig artikkelJoint Trajectory and Energy Consumption Optimization Based on UAV Wireless Charging in Cloud Computing System– IEEE Transactions on Cloud Computing 2023
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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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KonferanseforedragCross-domain knowledge discovery and sharing in digital subsurface based on federated learning– International Conference on Ocean, Offshore and Arctic Engineering 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 artikkelPrivacy-Preserving Split Learning for Large-Scaled Vision Pre-Training– IEEE Transactions on Information Forensics and Security 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 artikkelNttpFL: Privacy-Preserving Oriented No Trusted Third Party Federated Learning System Based on Blockchain– IEEE Transactions on Network and Service Management 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-based Cross-organizational Workflow Platform– 2022
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Vitenskapelig kapittelBlockchain Empowered and Self-sovereign Access Control System– 2022
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Vitenskapelig kapittelManaging Digital Objects with Decentralised Identifiers based on NFT-like schema– 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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Vitenskapelig kapittelTOTEM SDK : an open toolset for token controlled computation managed by blockchain– 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 artikkelA Survey of Decentralizing Applications via Blockchain: The 5G and Beyond Perspective– IEEE Communications Surveys and Tutorials 2021
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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 artikkelDBFT: A Byzantine Fault Tolerance Protocol with Graceful Performance Degradation– IEEE Transactions on Dependable and Secure 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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Vitenskapelig artikkelSecurity Analysis and Improvement of a Redactable Consortium Blockchain for Industrial Internet-of-Things– Computer journal 2021
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AviskronikkMethod for Analyzing Data Using a Blockchain, a Data Provider and a Data Customer Therefor– 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 artikkelResource Allocation for Cloud-Based Software Services Using Prediction-Enabled Feedback Control With Reinforcement Learning– IEEE Transactions on Cloud Computing 2020
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Vitenskapelig artikkelRenewLedger : Renewable energy management powered by Hyperledger Fabric– Proceedings of the IEEE Symposium on Computers and Communications 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 artikkelBlockchain based Power Transaction Asynchronous Settlement System– IEEE Vehicular Technology Conference (VTC) 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 kapittelImproving Load Forecast Accuracy of Households Using Load Disaggregation Techniques– 2020
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Vitenskapelig kapittelDeep Learning for Short-Term Energy Load Forecasting Using Influential Factors– 2020
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Vitenskapelig kapittelMethod to Solve a Privacy and Security Issue in Cloud for Energy Informatics– 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 kapittelDistributed multi-factor electricity transaction match mechanism based on blockchain– 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 kapittelDistributed computational framework in TOTEM architecture enabled by blockchain– 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 artikkelShort-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis– Processes 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 artikkelTriangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance– Processes 2020
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Vitenskapelig kapittelHousehold energy consumption prediction using evolutionary ensemble neural network– 2020
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Vitenskapelig artikkelFog Computing for Realizing Smart Neighborhoods in Smart Grids– Computers 2020
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Vitenskapelig kapittelEvaluating Feature Selection Methods for Short-Term Load Forecasting– 2019
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Vitenskapelig kapittelNeural Network Architectures for Electricity Consumption Forecasting– 2019
