This image shows Ilche Georgievski

Ilche Georgievski


Head of Division Planning, Learning, and Intelligent Systems
Institute of Architecture of Application Systems
Service Computing Department
[Photo: Ilche Georgievski]


Universitätsstraße 38
70569 Stuttgart
Room: 1.037

Office Hours

I provide consultations in person at my office or online via WebEx ( To make an appointment, please get in touch with me by email.


My principal area of research is AI Planning. My interests in this area include:

  1. Engineering of AI Planning Systems (algorithm design, domain knowledge engineering, and developing advanced planning systems).
  2. Hierarchical Task Network (HTN) Planning (domain modelling, incorporating real-world features, efficiency, and adaptability to complex scenarios).
  3. Real-World AI Planning Applications (e.g., smart energy systems, autonomous vehicles).

In addition to my primary focus on AI Planning, I am intrigued by the potential and challenges within Service-Oriented Computing, including the interconnection between Service-Oriented Computing and AI Planning. My research interests in this area include:

  1. Automated Service Composition
  2. Automated Configuration of Distributed Cloud Applications
  3. Service-Oriented Design of Intelligent Systems
  4. Interconnection between Service-Oriented Computing and AI Planning
  1. 2023

    1. Aiello, M., Georgievski, I.: Service composition in the ChatGPT Era. Service-Oriented Computing and Applications. (2023).
    2. Georgievski, I., Shahid, M.Z., Aiello, M.: AI Temporal Planning for Energy Smart Buildings. Energy Inform. 6, (2023).
    3. Liu, Y., Palmieri, L., Georgievski, I., Aiello, M.: Human-Flow-Aware Long-Term Mobile Robot Task Planning Based on Hierarchical Reinforcement Learning. IEEE Robotics and Automation Letters. 8, 4068--4075 (2023).
    4. Georgievski, I., Aiello, M.: The Potential of AI Planning on the Edge. In: IEEE International Conference on Edge Computing and Communications. pp. 330--336 (2023).
    5. Alnazer, E., Georgievski, I.: Understanding Real-World AI Planning Domains: A Conceptual Framework. In: Aiello, M., Barzen, J., Dustdar, S., and Leymann, F. (eds.) Service-Oriented Computing. SummerSOC 2023. pp. 3–23. Springer Nature Switzerland (2023).
    6. Georgievski, I.: PlanX: A Toolbox for Building and Integrating AI Planning Systems. In: IEEE International Conference on Service-Oriented System Engineering. pp. 130--134 (2023).
    7. Georgievski, I.: Software Development Lifecycle for Engineering AI Planning Systems. In: International Conference on Software Technologies. pp. 751--760 (2023).
    8. Pesl, R.D., Breitenbücher, U., Georgievski, I., Aiello, M.: Service-Oriented Integration of SuperTuxKart. In: Troya, J., Mirandola, R., Navarro, E., Delgado, A., Segura, S., Ortiz, G., Pautasso, C., Zirpins, C., Fernández, P., and Ruiz-Cortés, A. (eds.) Service-Oriented Computing -- ICSOC 2022 Workshops. pp. 359--363. Springer Nature Switzerland (2023).
    9. Aboki, N., Georgievski, I., Aiello, M.: Automating a Telepresence Robot for Human Detection, Tracking, and Following. In: Towards Autonomous Robotic Systems Conference. pp. 150--161 (2023).
    10. Pesl, R.D., Stötzner, M., Georgievski, I., Aiello, M.: Uncovering LLMs for Service-Composition: Challenges and Opportunities. In: Service-Oriented Computing -- ICSOC 2023 Workshop on AI-enabled Process Automation. Springer Nature (2023).
    11. Georgievski, I.: Conceptualising Software Development Lifecycle for Engineering AI Planning Systems. In: IEEE/ACM International Conference on AI Engineering – Software Engineering for AI. pp. 88–89 (2023).
  2. 2022

    1. Alnazer, E., Georgievski, I., Prakash, N., Aiello, M.: A Role for HTN Planning in Increasing Trust in Autonomous Driving. In: IEEE International Smart Cities Conference. pp. 1–7 (2022).
    2. Georgievski, I.: Towards Engineering AI Planning Functionalities as Services. In: Service-Oriented Computing -- ICSOC 2019 Workshops. pp. 225–236. Springer International Publishing (2022).
    3. Georgievski, I.: Office Activity Recognition Using HTN Planning. In: IEEE International Conference on Signal Image Technology & Internet-Based Systems. pp. 70–77 (2022).
    4. Alnazer, E., Georgievski, I., Aiello, M.: On Bringing HTN Domains Closer to Reality - The Case of Satellite and Rover Domains. In: International Conference on Automated Planning Systems (ICAPS) Workshop on Scheduling and Planning Applications (SPARK) (2022).
    5. Alnazer, E., Georgievski, I., Aiello, M.: Risk Awareness in HTN Planning. arXiv (2022).
  3. 2021

    1. Aiello, M., Fiorini, L., Georgievski, I.: Software Engineering Smart Energy Systems. In: Fathi, M., Zio, E., and Pardalos, P.M. (eds.) Handbook of Smart Energy Systems. pp. 1--21. Springer (2021).
    2. Georgievski, I.: HTN Planning Domain for Deployment of Cloud Applications. In: 10th International Planning Competition: Planner and Domain Abstracts. pp. 34–46 (2021).
    3. Georgievski, I., Breitenbücher, U.: A Vision for Composing, Integrating, and Deploying AI Planning Functionalities. In: IEEE International Conference on Service-Oriented System Engineering (2021).
    4. Georgievski, I., Jeyakumar, I.H.J., Kale, S.: Designing a System based on Robotic Assistance For Privacy Awareness in Smart Environment. In: IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference. pp. 427--432 (2021).
    5. Graef, S., Georgievski, I.: Software Architecture for Next-Generation AI Planning Systems. arXiv (2021).
  4. 2020

    1. Georgievski, I., Fiorini, L., Aiello, M.: Towards Service-Oriented and Intelligent Microgrids. In: International Conference on Applications of Intelligent System. pp. 18:1--18:6 (2020).
  5. 2019

    1. Georgievski, I., Aiello, M.: Phantomisation in state-based HTN planning. In: International Conference on Advances in Signal Processing and Artificial Intelligence. pp. 39--44 (2019).
    2. Georgievski, I., Gupta, P., Aiello, M.: Activity learning for intelligent buildings. In: IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference. pp. 0916–0923 (2019).
  6. 2018

    1. Kalksma, M., Setz, B., Pratama, A.R., Georgievski, I., Aiello, M.: Mining sequential patterns for appliance usage prediction. In: International Conference on Smart Cities and Green ICT Systems. pp. 23--33. SCITEPRESS (2018).
  7. 2017

    1. Georgievski, I., Nguyen, T.A., Nizamic, F., Setz, B., Lazovik, A., Aiello, M.: Planning meets activity recognition: Service coordination for intelligent buildings. Pervasive and Mobile Computing. (2017).
    2. Georgievski, I., Nizamic, F., Lazovik, A., Aiello, M.: Cloud Ready Applications Composed via HTN Planning. In: 2017 IEEE 10th Conference on Service-Oriented Computing and Applications (SOCA). IEEE (2017).
  8. 2016

    1. Georgievski, I., Aiello, M.: Automated Planning for Ubiquitous Computing. ACM Computing Surveys. 49, 1--46 (2016).
    2. Aiello, M., Johnsen, E.B., Dustdar, S., Georgievski, I.: Preface. In: European Conference on Service-Oriented and Cloud Computing. pp. V–VI (2016).
  9. 2015

    1. Georgievski, I., Aiello, M.: HTN planning: Overview, comparison, and beyond. Artificial Intelligence. 222, 124--156 (2015).
    2. Georgievski, I.: Coordinating services embedded everywhere via hierarchical planning,, (2015).
  10. 2013

    1. Georgievski, I., Nguyen, T.A., Aiello, M.: Combining Activity Recognition and AI Planning for Energy-Saving  Offices. In: IEEE International Conference on Ubiquitous Intelligence and Computing and IEEE International Conference on Autonomic and Trusted Computing. pp. 238--245. IEEE Computer Society (2013).
  11. 2012

    1. Georgievski, I., Degeler, V., Pagani, G.A., Nguyen, T.A., Lazovik, A., Aiello, M.: Optimizing Energy Costs for Offices Connected to the Smart Grid. IEEE Transactions on Smart Grid. 3, 2273--2285 (2012).
  12. 2010

    1. Degeler, V., Georgievski, I., Lazovik, A., Aiello, M.: Concept mapping for faster QoS-aware web service composition. In: IEEE International Conference on Service-Oriented Computing and Applications. pp. 1--4. IEEE Computer Society (2010).

Master of Science

  • Smart Cities and Internet of Things
    • Summer 2018-present
    • Lecturer (Exercises and partly lectures)
  • Distributed Systems: Foundations
    • Winter 2021-present,
    • Lecturer (Exercises)
  • AI Planning for Ubiquitous Computing
    • Winter 2020-present
    • Seminar Coordinator and Supervisor
  • Complex Network Systems
    • Winter 2018-2019
    • Lecturer (Exercises)
  • Fachpraktikum Smart Energy Systems
    • Winter 2018-2019
    • Lab Lecturer

Master of Science @ Herman Hollerith Zentrum

  • Distributed Systems
    • Winter 2019-present
    • Lecturer (Exercises)

Ilche Georgievski is a researcher at the Service Computing Department of the Institute of Architecture of Application Systems, University of Stuttgart. He leads the research area on Planning, Learning, and Intelligent Systems. His research interests include AI planning, with an emphasis on HTN planning, understanding real-world planning domains, engineering AI planning systems, service-oriented computing, and smart energy systems.

Ilche Georgievski obtained his Ph.D. in Computer Science from the University of Groningen in the Netherlands in 2015. After his doctorate, he continued as a postdoctoral researcher at the same university until 2017. In addition to his academic pursuits, he also ventured into the corporate world, having served as the CTO at Sustainable Buildings between 2017 and 2018. In 2023, he was a visiting researcher at Carnegie Mellon University. Georgievski's background is international, having grown up in Bitola, Macedonia, and studied Computer and Information Science at the University of Maribor in Slovenia.

His work has been awarded the SummerSOC Best Paper Award in 2023 and the IEEE UEMCON Best Paper Award in the category of Intelligent Control in 2021.

  • Editorial Boards
    • Associate Editor, Frontiers in Internet of Things - IoT Architectures
  • Scientific Program Committee
  • Journal Reviewer
    • SN Computer Science Journal, Service-Oriented Computing & Applications, Journal of Intelligent Service Robotics, IEEE Transactions on Knowledge and Data Engineering, Wireless Communication and Mobile Computing, ACM Transactions on Intelligent Systems and Technology, ACM Computing Surveys, Journal of of Advanced Computational Intelligence and Intelligent Informatics, IEEE Transactions on Service Computing, Journal of Experimental & Theoretical Artificial Intelligence, IEEE Transactions on Smart Grid.
  • Chairing Functions
    • IEEE iEDGE Symposium on Intelligent Edge Computing and Communications, IEEE International Conference on Web Services, International Conference on Advances in Signal Processing and Artificial
      Intelligence, European Conference on Service-Oriented and Cloud Computing.
  • Scientific Conference Reviewer
    • ICCCN 2022, WISE 2021, IEEE SmartGridComm 2021, IEEE ICWS 2021, BPM 2021, IEEE CLOUD 2020, IEEE ICWS 2020, IEEE PES ISGT-Europe 2020, IJCAI 2020, CloudTech 2020, CoopIS 2019, SOCA 2019, IEEE CLOUD 2019, ESOCC 2018, IEEE CLOUD 2017, IEEE ICWS 2016, SASO 2016, IEEE ICWS 2015, IEEE CLOUD 2015, ICRA 2015, ESOCC 2015, AI*IA 2015, WETICE 2015, CLOUDTECH 2015, WISE 2015, ICT Innovations 2015, CogMan 2015, IEEE CLOUD 2014, OPODIS 2014, SOCA 2013, IEEE CLOUD 2013, OPODIS 2013, SASO 2013, CoopIS 2013, SOCA 2012, ICSOC 2012, IEEE CLOUD 2012, CoopIS 2012, WISE 2012, WESOA 2012, GREENS 2012, PECCS 2011.
  • Project Review Committee
    • Italian Ministry of Education, Universities and Research (MIUR) in 2018, 2021.
  • Faculty Service
    • Contributed to the overall setup of the Service Computing Department.
    • Since 2021, I help the admission committees of MSc programs in Computer Science and Autonomous systems (Zulassungsausschuss MSc Computer Science, Zulassungsausschuss MSc Autonome System)
      by processing student applications.


We integrate cross-sectorial expertise on power distribution, control systems, building automation, computer science, and social and behavioral science to propose an interdisciplinary framework that uses innovative distributed control algorithms and an ICT platform coupled with intelligent automated techniques to improve demand-supply matching in a financially and psychologically way that is attractive and acceptable to end-users.

Since 2018, I have had the opportunity to supervise more than 70 student projects. This experience includes the supervision of one Ph.D. student, over 25 Master's theses, more than 20 Bachelor's theses, and over 25 various student projects.

In 2022, I was granted the authorisation to serve as an examiner for courses and theses (Prüfungsberechtigung). Since then, I have examined over 35 theses and student projects.

A list of supervised student projects can be found here.

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