Tudor Cioara Professor of Computer Science Director at Distributed Systems Research Laboratory

Top WoS Journals Articles

A* Conferences

  1. Ofrim, V., Daian, M., Lazea, D., Toderean, L., Hangan, A., & Cioara, T. (2026). Policy-Aware Federated Query Orchestration Across Energy Data Spaces and Edge AI Services. Proceedings of the VLDB Endowment, 19(12), 4654-4657. DOI
  2. Toderean, L., Cioara, T., Michalakopoulos, V., Sarmas, E., & Anghel, I. (2026). Spatio-Temporal GraphSAGE Framework for Generalizable Power Grid Representations. In AI4PowerGrids: AI Foundations for Power Grids (NeurIPS 2026 Workshop). Workshop

Red Zone Q1

  1. Antonesi, G., Cioara, T., Michalakopoulos, V., Papias, I., Anghel, I., & Sarmas, E. (2026). Energy forecasting under missing data: Comparative evaluation of augmented representations and decoder-only time-series imputation. Energy and AI, 25, 100780. WoS Q1 DOI
  2. Anghel, I., & Cioara, T. (2026). Generative AI for IT project management: A systematic review and future research agenda. Systems, 14(6), 722. WoS Q1 DOI
  3. Martin, I. R., Cioara, T., Anghel, I., & Arcas, G. (2026). Performance evaluation of large language models for automated knowledge graph generation. Machine Learning with Applications, 24, 100923. WoS Q1 DOI
  4. Mitrea, D., Cioara, T., Anghel, I., & Toderean, L. (2025). Evolutionary game for incentivizing social cooperation of prosumers in transactive energy communities. Energy and Buildings, 327, 115057. WoS Q1 DOI
  5. Papias, I., Michalakopoulos, V., Sarmas, E., Marinakis, V., Antonesi, G., Cioara, T., & Anghel, I. (2025). A data-driven framework for estimating residential energy flexibility for aggregated demand-side management. Sustainable Energy, Grids and Networks, 43, 101783. WoS Q1 DOI
  6. Arcas, G. I., Cioara, T., Anghel, I., Lazea, D., & Hangan, A. (2024). Edge offloading in smart grid. Smart Cities, 7(1), 680-711. WoS Q1 DOI
  7. Arcas, G. I., Cioara, T., & Anghel, I. (2024). Whale optimization for cloud-edge-offloading decision-making for smart grid services. Biomimetics, 9(5), 302. WoS Q1 DOI
  8. Antonesi, G., Rancea, A., Cioara, T., & Anghel, I. (2023). Graph learning and deep neural network ensemble for supporting cognitive decline assessment. Technologies, 12(1), 3. WoS Q1 DOI
  9. Mitrea, D., Toderean, L., Cioara, T., Anghel, I., & Antal, M. (2023). Smart contracts and homomorphic encryption for private P2P energy trading and demand response on blockchain. Heliyon, 9(11), e22357. WoS Q1 DOI
  10. Antal, M., Mihailescu, V., Cioara, T., & Anghel, I. (2022). Blockchain-based distributed federated learning in smart grid. Mathematics, 10(23), 4499. WoS Q1 DOI
  11. Antal, M., Pop, C., Cioara, T., Anghel, I., Salomie, I., & Pop, F. (2020). A system of systems approach for data centers optimization and integration into smart energy grids. Future Generation Computer Systems, 105, 948-963. WoS Q1 DOI
  12. Cioara, T., Anghel, I., Salomie, I., Antal, M., Pop, C., Bertoncini, M., Arnone, D., & Pop, F. (2019). Exploiting data centres energy flexibility in smart cities: Business scenarios. Information Sciences, 476, 392-412. WoS Q1 DOI
  13. Cioara, T., Anghel, I., Salomie, I., Barakat, L., Miles, S., Reidlinger, D., Taweel, A., Dobre, C., & Pop, F. (2018). Expert system for nutrition care process of older adults. Future Generation Computer Systems, 80, 368-383. WoS Q1 DOI
  14. Cioara, T., Anghel, I., Bertoncini, M., Salomie, I., Arnone, D., Mammina, M., Velivassaki, T., & Antal, M. (2018). Optimized flexibility management enacting data centres participation in smart demand response programs. Future Generation Computer Systems, 78(1), 330-342. WoS Q1 DOI
  15. Taweel, A., Barakat, L., Miles, S., Cioara, T., Anghel, I., Tawil, A.-R. H., & Salomie, I. (2016). A service-based system for malnutrition prevention and self-management. Computer Standards & Interfaces, 48, 225-233. WoS Q1 DOI
  16. Antal, M., Pop, C., Petrican, T., Vesa, A. V., Cioara, T., Anghel, I., Salomie, I., & Niewiadomska-Szynkiewicz, E. (2019). MoSiCS: Modeling, simulation and optimization of complex systems-A case study on energy efficient datacenters. Simulation Modelling Practice and Theory, 93, 21-41. WoS Q1 DOI

Yellow Zone Q2

  1. Toderean, L., Mesesan, M., Cioara, T., & Anghel, I. (2026). Asynchronous federated learning with partial weights aggregation for energy consumption forecasting. Science Progress, 109(2). WoS Q2 DOI
  2. Lazea, D., Hangan, A., & Cioara, T. (2025). Building equi-width histograms on homomorphically encrypted data. Future Internet, 17(6), 256. WoS Q2 DOI
  3. Martin, I. R., Arcas, G. I., & Cioara, T. (2024). Reinforcement-learning-based edge offloading orchestration in computing continuum. Computers, 13(11), 295. WoS Q2 DOI
  4. Rancea, A., Anghel, I., & Cioara, T. (2024). Edge computing in healthcare: Innovations, opportunities, and challenges. Future Internet, 16(9), 329. WoS Q2 DOI
  5. Chifu, V. R., Cioara, T., Pop, C. B., Rusu, H. G., & Anghel, I. (2024). Deep Q-learning-based smart scheduling of EVs for demand response in smart grids. Applied Sciences, 14(4), 1421. WoS Q2 DOI
  6. Mitrea, D., Chifu, V. R., Cioara, T., Anghel, I., & Pop, C. B. (2024). Social factors in P2P energy trading using hedonic games. IEEE Access, 12, 71256-71270. WoS Q2 DOI
  7. Marin, O., Cioara, T., Toderean, L., Mitrea, D., & Anghel, I. (2023). Review of blockchain tokens creation and valuation. Future Internet, 15(12), 382. WoS Q2 DOI
  8. Antonesi, G., Cioara, T., Toderean, L., Anghel, I., & De Mulder, C. (2023). A machine learning pipeline to forecast the electricity and heat consumption in a city district. Buildings, 13(6), 1407. WoS Q2 DOI
  9. Marin, O., Cioara, T., & Anghel, I. (2023). Blockchain solution for buildings' multi-energy flexibility trading using multi-token standards. Future Internet, 15(5), 177. WoS Q2 DOI
  10. Mitrea, D., Cioara, T., & Anghel, I. (2023). Privacy-preserving computation for peer-to-peer energy trading on a public blockchain. Sensors, 23(10), 4640. WoS Q2 DOI
  11. Toderean, L., Chifu, V. R., Cioara, T., Anghel, I., & Pop, C. B. (2023). Cooperative games over blockchain and smart contracts for self-sufficient energy communities. IEEE Access, 11, 73982-73999. WoS Q2 DOI
  12. Chifu, V. R., Cioara, T., Pop, C. B., Anghel, I., Demjen, D., & Salomie, I. (2022). Identification of daily living recurrent behavioral patterns using genetic algorithms for elderly care. Applied Sciences, 12(21), 11030. WoS Q2 DOI
  13. Pop, C. B., Cioara, T., Anghel, I., Antal, M., Chifu, V. R., Antal, C., & Salomie, I. (2022). Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristic. Energy Reports, 8, 11769-11798. WoS Q2 DOI
  14. Anghel, I., & Cioara, T. (2022). Emerging sensors techniques and technologies for intelligent environments. Sensors, 22(17), 6427. WoS Q2 DOI
  15. Chifu, V. R., Pop, C. B., Rancea, A. M., Morar, A., Cioara, T., Antal, M., & Anghel, I. (2022). Deep learning, mining, and collaborative clustering to identify flexible daily activities patterns. Sensors, 22(13), 4803. WoS Q2 DOI
  16. Chifu, V. R., Pop, C. B., Demjen, D., Socaci, R., Todea, D., Antal, M., Cioara, T., Anghel, I., & Antal, C. (2022). Identifying and monitoring the daily routine of seniors living at home. Sensors, 22(3), 992. WoS Q2 DOI
  17. Antal, M., Toderean, L., Cioara, T., & Anghel, I. (2022). Hybrid deep neural network model for multi-step energy prediction of prosumers. Applied Sciences, 12(11), 5346. WoS Q2 DOI
  18. Antal, M., Cristea, A.-A., Padurean, V.-A., Cioara, T., Anghel, I., Antal, C., Salomie, I., & Saintherant, N. (2021). Heating homes with servers: Workload scheduling for heat reuse in distributed data centers. Sensors, 21(8), 2879. WoS Q2 DOI
  19. Cioara, T., Antal, M., Mihailescu, V. T., Antal, C. D., Anghel, I. M., & Mitrea, D. (2021). Blockchain-based decentralized virtual power plants of small prosumers. IEEE Access, 9, 29490-29504. WoS Q2 DOI
  20. Pop, C. D., Antal, M., Cioara, T., Anghel, I., & Salomie, I. (2020). Blockchain and demand response: Zero-knowledge proofs for energy transactions privacy. Sensors, 20(19), 5678. WoS Q2 DOI
  21. Cioara, T., Antal, M., Antal, C. D., Anghel, I., Bertoncini, M., Arnone, D., Lazzaro, M., Mammina, M., Velivassaki, T.-H., Voulkidis, A., Ricordel, Y., Sainthérant, N., Oleksiak, A., & Piatek, W. (2020). Data centers optimized integration with multi-energy grids: Test cases and results in operational environment. Sustainability, 12(23), 9893. WoS Q2 DOI
  22. Moldovan, D., Anghel, I., Cioara, T., & Salomie, I. (2020). Adapted binary particle swarm optimization for efficient features selection in the case of imbalanced sensor data. Applied Sciences, 10(4), 1496. WoS Q2 DOI
  23. Vesa, A. V., Cioara, T., Anghel, I., Antal, M., Pop, C., Iancu, B., Salomie, I., & Dadarlat, V. T. (2020). Energy flexibility prediction for data center engagement in demand response programs. Sustainability, 12(4), 1417. WoS Q2 DOI
  24. Pop, C., Antal, M., Cioara, T., Anghel, I., Salomie, I., & Bertoncini, M. (2019). A fog computing enabled virtual power plant model for delivery of frequency restoration reserve services. Sensors, 19(21), 4688. WoS Q2 DOI
  25. Pop, C., Antal, M., Cioara, T., Anghel, I., Sera, D., Salomie, I., Raveduto, G., Ziu, D., Croce, V., & Bertoncini, M. (2019). Blockchain-based scalable and tamper-evident solution for registering energy data. Sensors, 19(14), 3033. WoS Q2 DOI
  26. Pop, C., Cioara, T., Antal, M., Anghel, I., Salomie, I., & Bertoncini, M. (2018). Blockchain based decentralized management of demand response programs in smart energy grids. Sensors, 18(1), 162. WoS Q2 DOI
  27. Antal, M., Cioara, T., Anghel, I., Pop, C., & Salomie, I. (2018). Transforming data centers in active thermal energy players in nearby neighborhoods. Sustainability, 10(4), 939. WoS Q2 DOI

Conference Proceedings, Journal Articles and Book Chapters

  1. Cioara, T., Toderean, L., Mitrea, D., Chifu, V., Antal, M., Anghel, I., Croce, V., Bertoncini, M., & Nucci, F. (2022). Decentralized demand response in energy communities using blockchain. In BLORIN 2022 Workshop. IEEE.
  2. Cioara, T., Anghel, I., Antal, M., Antal, C., Arcas, G. I., & Croce, V. (2022). An overview of digital twins application in smart energy grids. In Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE.
  3. Anghel, I., Cioara, T., Moldovan, D., Antal, M., Pop, C. D., Salomie, I., Pop, C. B., & Chifu, V. R. (2020). Smart environments and social robots for age-friendly integrated care services. International Journal of Environmental Research and Public Health, 17(11), 3801. WoS Emerging Sources Citation Index DOI
  4. Goia, B., Cioara, T., & Anghel, I. (2022). Virtual power plant optimization in smart grids: A narrative review. Future Internet, 14(5), 128. WoS Emerging Sources Citation Index DOI
  5. Florea, A.-I., Anghel, I., & Cioara, T. (2022). A review of blockchain technology applications in ambient assisted living. Future Internet, 14(5), 150. WoS Emerging Sources Citation Index DOI
  6. Antal, M., Cioara, T., Anghel, I., Antal, C., & Salomie, I. (2021). Flexibility management of data centers to provide energy services in the smart grid. In Proceedings of the Twelfth ACM International Conference on Future Energy Systems (e-Energy '21) (pp. 443-449). Association for Computing Machinery. DOI
  7. Antal, C., Cioara, T., Antal, M., & Anghel, I. (2021). Blockchain platform for COVID-19 vaccine supply management. IEEE Open Journal of the Computer Society, 2, 164-178. WoS Emerging Sources Citation Index DOI
  8. Antal, C., Cioara, T., Anghel, I., Antal, M., & Salomie, I. (2021). Distributed ledger technology review and decentralized applications development guidelines. Future Internet, 13(3), 62. WoS Emerging Sources Citation Index DOI
  9. Moldovan, D., Anghel, I., Cioara, T., Pop, C., Chifu, V., & Salomie, I. (2022). Binary cat swarm optimization feature selection and machine learning based ensemble for the classification of the daily living activities of the elders. In S. Vlad & N. M. Roman (Eds.), 7th International Conference on Advancements of Medicine and Health Care through Technology. MEDITECH 2020 (IFMBE Proceedings, Vol. 88). Springer.
  10. Moldovan, D., Anghel, I., Cioara, T., & Salomie, I. (2021). Apache Spark for digitalization, analysis and optimization of discrete manufacturing processes. In F. Pop & G. Neagu (Eds.), Big data platforms and applications. Springer. Book Chapter Link
  11. Anghel, I., Cioara, T., Pop, C., & Antal, M. (2021). Semantic data model for energy efficient integration of data centres in energy grids. In M. Chinnici, F. Pop, & C. Negru (Eds.), Data science and big data analytics in smart environments. CRC Press. Book Chapter Link
  12. Pop, C., Antal, M., Cioara, T., & Anghel, I. (2020). Trading energy as a digital asset: A blockchain-based energy market. In G. Shrivastava, D.-N. Le, & K. Sharma (Eds.), Cryptocurrencies and blockchain technologies and applications: Decentralization and smart contracts. Wiley-Scrivener. Book Chapter DOI
  13. Raveduto, G., Croce, V., Antal, M., Pop, C., Anghel, I., & Cioara, T. (2020). Dynamic coalitions of prosumers in virtual power plants for energy trading and profit optimization. In 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON). IEEE. DOI
  14. Antal, M., Cioara, T., Anghel, I., Gorzenski, R., Januszewski, R., Oleksiak, A., Piatek, W., Pop, C., Salomie, I., & Szeliga, W. (2019). Reuse of data center waste heat in nearby neighborhoods: A neural networks-based prediction model. Energies, 12(5), 814. Q3 DOI
  15. Anghel, I., Cioara, T., Pop, C., Bertoncini, M., Velivassaki, T., Georgiadou, V., Oleksiak, A., Voulkidis, A. C., Saintherant, N., & Paglia, M. (2018). Converting data centres in energy flexibility ecosystems. In 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE. DOI
  16. Cioara, T., Anghel, I., Pop, C., Bertoncini, M., Croce, V., Ioannidis, D., Votis, K., Tzovaras, D., & D'Oriano, L. (2018). Enabling new technologies for demand response decentralized validation using blockchain. In 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE. DOI
  17. Cioara, T., Anghel, I., & Salomie, I. (2017). Methodology for energy aware adaptive management of virtualized data centers. Energy Efficiency, 10(2), 475-498. Q3 DOI

Awards

  1. Romanian Academy Constantin Budeanu award for contributions in the area of Intelligent solutions for energy ecosystems, December 2020. Read more
  2. Cioara, T., Anghel, I., Salomie, I., Moldovan, D., Copil, G., & Kipp, A. (2011). Energy aware dynamic resource consolidation algorithm for virtualized service centers based on reinforcement learning. In Proceedings of the 10th International Symposium on Parallel and Distributed Computing (pp. 163-169). IEEE. Best Paper Award. DOI
  3. Anghel, I., Cioara, T., Salomie, I., Dinsoreanu, M., & Rarau, A. (2009). A self-configuring middleware for managing context awareness. In Proceedings of the International Conference on Wireless Information Networks and Systems (pp. 131-138). INSTICC Press. Best Student Paper Award. Link

WoS Journals Editor

  1. Sensors, 2021, Special Issue "Blockchain Applications in Smart Energy Grids". Read more
  2. Sensors, 2020-2021, Special Issue "Emerging Sensors Techniques and Technologies for Intelligent Environments". Read more
  3. Sustainability, 2019-2020, Special Issue "Decentralized Management of Flexible Energy Resources in Smart Grid". Read more