1. Rožanec, J. M., Mladenić, D., & Fortuna, B. (2019): Demand forecasting for industry 4.0: predicting discrete demand from multiple sources for B2B domain.
  2. Jinzhi Lu, Xiaochen Zheng, Ali Gharaei, Kostas Kalaboukas, Dimitris Kiritsis (2020): Cognitive twins for supporting decision-makings of internet of things systems
  3. Eirinakis, Pavlos; Kalaboukas, Kostas; Lounis, Stavros; Mourtos, Ioannis; Rožanec, Jože M.; Stojanovic, Nenad; Zois, Georgios (2020): Enhancing Cognition for Digital Twins.
  4. Gharaei A., Lu J., Stoll O., Zheng X., West S., Kiritsis D. (2020): Systems Engineering Approach to Identify Requirements for Digital Twins Development.
  5. Jože M. Rožanec, Lu Jinzhi, Aljaž Košmerlj, Klemen Kenda, Kiritsis Dimitris, Viktor Jovanoski, Jan Rupnik, Mario Karlovčec, and Blaž Fortuna (2020): Towards Actionable Cognitive Digital Twins for Manufacturing.
  6. Jinzhi Lu; Dejiu Chen; Guoxin Wang; Dimitris Kiritsis; Martin Törngren (2021): Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection
  7. Jinzhi Lu, Xiaochen Zheng, Ali Gharaei, Kostas Kalaboukas, Dimitris Kiritsis (2020): A Cognitive Approach to Manage the Complexity of Digital Twin Systems.
  8. Pengfei Yang,Jinzhi Lu,Lei Feng,Shouxuan Wu,Guoxin Wang,Dimitris Kiritsis (2021): A Knowledge Management Approach Supporting Model-Based Systems Engineering.
  9. Zampou, Eleni; Mourtos, Ioannis; Pramatari, Katerina; and Seidel, Stefan (2021): A Design Theory for Energy and Carbon Management Systems in the Supply Chain.
  10. Kasapidis, G.A., Paraskevopoulos, D.C., Repoussis, P.P. and Tarantilis, C.D. (2021): Flexible Job Shop Scheduling Problems with Arbitrary Precedence Graphs.
  11. Rozanec, Joze M. (2021): Explainable Demand Forecasting: A Data Mining Goldmine.
  12. Mourtos I., Vatikiotis S., Zois G. (2021): Scheduling Jobs on Unrelated Machines with Job Splitting and Setup Resource Constraints for Weaving in Textile Manufacturing.
  13. Rožanec, Jože M. (2021): STARdom: an architecture for trusted and secure human-centered manufacturing systems.
  14. Zajec, Patrik (2021): Towards Active Learning Based Smart Assistant for Manufacturing.
  15. J.M. Rožanec, E. Trajkova, J. Lu, N. Sarantinoudis, G. Arampatzis, P. Eirinakis, I. Mourtos, M.K. Onat, D.A. Yilmaz, A. Košmerlj, K. Kenda, B. Fortuna and D. Mladenić. (2021): Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring.
  16. Zajec, Patrik (2021): Help me learn! Architecture and strategies to combine recommendations and active learning in manufacturing.
  17. Rožanec, Jože M., Blaž Fortuna, and Dunja Mladenić (2021): Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI).
  18. Rožanec, Jože M (2021): Actionable Cognitive Twins for Decision Making in Manufacturing.
  19. Rožanec, Jože M. (2021): Automotive OEM Demand Forecasting: A Comparative Study of Forecasting Algorithms and Strategies.
  20. Kalaboukas, Kostas (2021): Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks – An Operational Model.
  21. Rožanec, J. M., Zajec, P., Kenda, K., Novalija, I., Fortuna, B., & Mladenić, D. (2021): XAI-KG: knowledge graph to support XAI and decision-making in manufacturing.
  22. Eirinakis, P.; Lounis, S.; Plitsos, S.; Arampatzis, G.; Kalaboukas, K.; Kenda, K.; Lu, J.; Rožanec, J.M.; Stojanovic, N. (2022): Cognitive Digital Twins for Resilience in Production: A Conceptual Framework.
  23. Rožanec, J., Trajkova, E., Novalija, I., Zajec, P., Kenda, K., Fortuna, B., & Mladenić, D. (2022): Enriching Artificial Intelligence Explanations with Knowledge Fragments
  24. J.M. Rožanec, E. Trajkova, M.K. Onat, N. Sarantinoudis, G. Arampatzis, B. Fortuna and D. Mladenić (2022): Machine-Learning-Based Soft Sensors for Energy Efficient Operation of Crude Distillation Units.
  25. Eirinakis P, Koronakos G (2022): A mathematical programming approach for optimizing on-specs production for industrial processes under input uncertainty.
  26. Rožanec, J. M., Bizjak, L., Trajkova, E., Zajec, P., Keizer, J., Fortuna, B., & Mladenić, D. (2022): Active Learning and Novel Model Calibration Measurements in Manufacturing.
  27. Sarantinoudis N, Tsinarakis G, Kalaboukas K, Eirinakis P, Arampatzis G (2022): Cognitive Manufacturing: The role of process modelling and optimization.
  28. Mourtos I, Kasapidis GA, Repoussis P, Eirinakis P (2022): Combined Production Scheduling and Predictive Maintenance for PCB Manufacturing.
  29. Avgerinos I, Mourtos I, Vatikiotis S, Zois G (2022): Exact methods for tardiness objectives in production scheduling.
  30. Rožanec, J. M., Fortuna, B., & Mladenić, D. (2022): Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand.
  31. Brecelj, B., Šircelj, B., Rožanec, J. M., Fortuna, B., & Mladenić, D. (2022): Forecasting sensor values in waste-to-fuel plants.
  32. Rožanec, J. M., Trajkova, E., Onat, M. K., Sarantinoudis, N., Arampatzis, G., Fortuna, B., & Mladenić, D. (2022): Machine-Learning-Based Soft Sensors for Energy Efficient Operation of Crude Distillation Units.
  33. Kaparis K, Bitsis K, Lounis S (2022): Production scheduling for the steel reinforcement industry.
  34. Calefato C., Vallini M., Fasana S., Castellano A. (2022): The cognitive retrofit revolution inside industry: how to modernize factories by Cognitive Digital Twins.
  35. Lounis S, Doukidis G, Mourtos I (2022): The role of Digital Twins and Optimisation in facilitating Digital Transformation in manufacturing.
  36. George Tsinarakis,Nikolaos Sarantinoudis, George Arampatzis (2022): A Discrete Process Modelling and Simulation Methodology for Industrial Systems within the Concept of Digital Twins.
  37. Eirinakis P, Arampatzis G, Košmerlj A, Rožanec J, Sarantinoudis N (2022): Utilizing an enhanced digital twin to optimize on-specs LPG recovery.
  38. Vatikiotis S.; Avgerinos I.; Mourtos I.; Zois, G (2022): Scheduling unrelated machines with job splitting, setup resources and sequence dependency.
  39. Kasapidis G, Dauzere-Peres S, Paraskevopoulos D, Repousis P, Tarantilis C (2023): On the multiresource flexible job-shop scheduling problem with arbitrary precedence graphs.
  40. Timoleon Farmakis, Stavros Lounis, Ioannis Mourtos and Georgios Doukidis (2023): Digital Twins (DTs) as an integral part of manufacturing Digital Transformation (DX).
  41. Xiaochen Zheng, Jinzhi Lu, Dimitris Kiritsis (2023): The emergence of cognitive digital twin: vision, challenges and opportunities.
  42. Bitsis K., Kaparis K. (2023): Production scheduling in the steel reinforcement industry. Exact and heuristic algorithms.