Τα ερευνητικά μου ενδιαφέροντα εμπίπτουν στους ακόλουθους τομείς:

• Μοντελοποίηση επιχειρησιακών διαδικασιών με BPMN και υλοποίηση επεκτάσεων (π.χ. BPMN for IoT)
• Μοντελοποίηση αποφάσεων με DMN (Decision Modeling Notation)
• Ανασχεδιασμός και βελτιστοποίηση διαδικασιών
• Υλοποίηση και εκτέλεση μοντέλων διαδικασιών (business process as a service, workflow execution engines, low code development}
• Aξιολόγηση της πολυπλοκότητας ενός διαγράμματος (complexity metrics & redesign heuristics)
• Επέκταση της έννοιας του business process plasticity
• Blockchain applications to Business Process Management

📡 συμμετοχή σε ερευνητικά προγράμματα

| Φεβρουάριος 2024 -

🙅🏻‍♂️ υποβολές ερευνητικών προτάσεων

| Ιανουάριος 2024 | Τίτλος ερευνητικής πρότασης | [PACIFIC] Process Analytics with Causal Inference for Informed Choices (επιστημονικά υπεύθυνος: Παύλος Δελιάς, Καθηγητής, Τμήμα Λογιστικής & Χρηματοοικονομικής, Διεθνές Πανεπιστήμιο της Ελλάδος | | --- | --- | --- | | | Ίδρυμα / Φορέας | Διεθνές Πανεπιστήμιο της Ελλάδος | | | Ρόλος | Μέλος Ερευνητικής Ομάδας | | | Προκήρυξη | 3η Προκήρυξη Ερευνητικών Έργων ΕΛ.ΙΔ.Ε.Κ. για την Ενίσχυση Μελών ΔΕΠ και Ερευνητών/τριών | | | Αντικείμενο | Τhe project aims to: (1) Generate conversion patterns for transforming raw process data into a suitable format for applying causal analysis techniques. (2) dapt process mining - econometric techniques to fulfill the requirements for causal analysis. (3) Develop open-source computational aids to support the above goals. | | | | | | Ιανουάριος 2024 | Τίτλος ερευνητικής πρότασης | [AgroTwin] Digital AgroTwin: Next-generation agricultural supply chains for green-aware processes and products (επιστημονικά υπεύθυνη: Σοφία Πετρίδου, Αναπληρώτρια Καθηγήτρια, Τμήμα Εφαρμοσμένης Πληροφορικής, Πανεπιστήμιο Μακεδονίας | | | Ίδρυμα / Φορέας | Πανεπιστήμιο Μακεδονίας & Πανεπιστήμιο Δυτικής Αττικής | | | Ρόλος | Μέλος Ερευνητικής Ομάδας | | | Προκήρυξη | 3η Προκήρυξη Ερευνητικών Έργων ΕΛ.ΙΔ.Ε.Κ. για την Ενίσχυση Μελών ΔΕΠ και Ερευνητών/τριών | | | Αντικείμενο | The aim of the project is the implementation of a digital platform, called Digital AgroTwin, motivated by Digital Twin solutions as used in the automotive and aerospace domain. The platform will be able to capture the conditions and trigger green-aware changes in the agricultural supply chain phases and parameters, governed by quality product requirements and cost constraints. It will employ mechanized policy-driven executable workflows supported by offline-online ML techniques on both collected IoT data at a real use-case scenario, as well as utilize prediction AI models to project important supply chain information that can affect the product in the close future. Synthesized AgroTwin policies will form an easy-to-follow methodology for the stakeholders to practically inspect their realization. | | | | | | Οκτώβριος 2022 | Τίτλος ερευνητικής πρότασης | [AgroTwin] Digital AgroTwin: Next-generation agricultural supply chains for green-aware processes and products | | | Ίδρυμα / Φορέας | Πανεπιστήμιο Μακεδονίας & Γεωπονικό Πανεπιστήμιο | | | Ρόλος | Επιστημονικά Υπεύθυνος | | | Προκήρυξη | ΕΛ.ΙΔ.Ε.Κ. - «Χρηματοδότηση της Βασικής Έρευνας» (Οριζόντια υποστήριξη όλων των Επιστημών), Εθνικό Σχέδιο Ανάκαμψης και Ανθεκτικότητας (Ελλάδα 2.0) | | | Αντικείμενο | The aim of the project is the implementation of a digital platform, called Digital AgroTwin, motivated by Digital Twin solutions as used in the automotive and aerospace domain. The platform will be able to capture the conditions and trigger green-aware changes in the agricultural supply chain phases and parameters, governed by quality product requirements and cost constraints. It will employ mechanized policy-driven executable workflows supported by offline-online ML techniques on both collected IoT data at a real use-case scenario, as well as utilize prediction AI models to project important supply chain information that can affect the product in the close future. Synthesized AgroTwin policies will form an easy-to-follow methodology for the stakeholders to practically inspect their realization. | | | Αποτέλεσμα / Ανατροφοδότηση | Evaluation committee grade A: The proposal sufficiently meets all evaluation criteria and shall receive funding providing there is sufficient budget. (επιλαχούσα πρόταση - θέση 63 - απόσπασματα από την ανατροφοδότηση:) 1A. Scientific Achievements The research team comprises 8 members with extensive work experience in both research projects and in industry. Notably, the leader of the Research proposal, Assoc. Prof. Konstantinos Vergidis, possesses a good publication and citation record (around average), active participation in conferences, recognition through awards, and involvement in other research programs, but he's not the first author on many papers. The team demonstrates strong academic qualifications, with degrees from reputable institutions and specialization in relevant areas. Additionally, their previous research experience and numerous publications align with the objectives of the AgroTwin project. The leader's research grants and active participation in conferences, particularly in key AgroTwin aspects, indicate a high potential for international impact.

1Β. Ability and role in the implementation of the project The research team has scientific autonomy. The Principal Investigator (Assoc. Prof. Konstantinos Vergidis) has successfully led several research projects. His active participation in conferences and invited talks showcases his ability to contribute original research ideas. He has secured multiple research grants as the principal investigator and has received many awards. The PI has demonstrated significant scientific expertise and experience through their publications, granted patent, invited talks, and involvement in journals' and conferences' committees. Their expertise aligns with the objectives of the AgroTwin project but not entirely. In his scientific achievement of PI there is a patent, but in area totally different from the subject of the present proposal. | | | | | | Μάιος 2018 | Τίτλος ερευνητικής πρότασης | Re-engineering Industry 4.0 Process Models through big data analytics techniques | | | Επιστημονικός Υπεύθυνος | Αναστάσιος Γούναρης, Τμήμα Πληροφορικής, Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης | | | Ρόλος | Consortium member and co-investigator | | | Αντικείμενο | Re4m advocates the deep confluence between business processes and big data management to yield a next generation of adaptive, i.e., continuously re-engineered, data-driven processes. Re4m aims to provide the basis for a new scientific field, where BPM (business process management) becomes big data-aware through the efficient encapsulation of advances in big data management to allow for processes and workflows to require much less resources and to be intelligently adapted to flexible needs. The research proposal is submitted to the CHIST-ERA Call and successfully passed the first round of evaluations. |

⚖️ διαχείριση ερευνητικών προγραμμάτων / αξιολόγηση ερευνητικών προτάσεων

| Απρίλιος 2023 (Η’ κύκλος) Φεβρουάριος 2021 (Ζ’ κύκλος)

👨🏻‍💼 συμμετοχή σε διοργάνωση συνεδρίων

Untitled Database

👔 μέλος editorial board / guest editor / reviewer

| Member of Editorial Board | https://www.mdpi.com/journal/information - MDPI Publishers (Scimago Rank: Q2, Impact factor 2022: 3.1) | | --- | --- | | | | | Guest editor | special issue ‘OR in the Digital Era - ICT Challenges’ https://www.springer.com/journal/10479 (Scimago Rank: Q1, Impact factor 2022: 4.8) guest editors: Panos Pardalos, Eleni Zafeiriou, Kostas Vergidis

special issue ‘Recent Advances in Process Modelling and Optimisation’ https://www.mdpi.com/journal/computation/special_issues/Process_Modeling (Scimago Rank: Q2, Impact factor 2022: 2.2) guest editors: George Tsakalidis, Kostas Vergidis

special issue ‘Blockchain modeling for Business Process Management’ https://www.mdpi.com/journal/information/special_issues/AK338K0802 (Scimago Rank: Q2, Impact factor 2022: 3.1) guest editors: George Tsakalidis, Kostas Vergidis | | | | | Reviewer

(επιλογή από περιοδικά και συνέδρια) | Production Planning and Control / Taylor & Francis Annals of Operations Research Business Process Management Journal / Emerald Computers in Industry / Elsevier IEEE Congress on Evolutionary Computing (CEC) IEEE Congress on Business Informatics (CBI) International Journal of Business Process Integration and Management / Inderscience Information / MDPI Journal of Decision Systems On-line Soft Computing

31 verified peer reviews (https://publons.com/researcher/2444103/kostas-vergidis/peer-review/) |