I have had the opportunity to supervise more than 70 student projects. In addition to being a supervisor, my role has expanded to include that of an examiner since 2022. Projects marked with a double asterisk (**) indicate instances where I have fulfilled both roles. Projects marked with a single asterisk (*) represent cases where I have solely assumed the role of an examiner. Projects without any asterisks are those I have exclusively served as a supervisor.

In addition to the academic setting, I have been involved in the supervision and examination of master theses in industrial contexts with organisations and companies such as Bosch, BMW, and MHP.

PhD students

Ebaa Alnazer, Risk awareness in HTN Planning, University of Stuttgart, ongoing. The promotor is Prof. Aiello.

Master theses

  1. Dhananjay Vashisth, Investigation of Best Practices and Challenges When Engineering AI Planning Systems for Industrial Applications, ongoing. **
  2. Vishesh Sinha, Leveraging LLMs for Hierarchical Domain Model Generation in AI Planning, ongoing. **
  3. Bishwash Krishna Parajuli, Best Practices for Engineering AI Planning Systems, ongoing. **
  4. Robert Philippsohn, Identification of Patterns for AI Planning Software Development, ongoing. **
  5. Badruddin Imtiyaz Mukadam, Exploring a Hybrid of Machine Learning and HTN Planning for Occupant Activity Recognition,  January 2024. **
  6. Rohit G Hegde, An Exploration of Challenges in Engineering AI Planning Systems, December 2023. **
  7. Usman Sikander Mirza, Evaluating the Effectiveness of a Hybrid Approach for DSM in Unreliable Power Grids: Temporal Planning Meets LSTM, October 2023. **
  8. Tobias Hirzel, A Proof of Concept for Risk-aware Plan-based HTN Planning, October 2023. *
  9. Muhammad Zamik Shahid, Integrating Electric Vehicles with Smart Buildings using Temporal Planning, October 2023.**
  10. Vinayak Vishwas Patil, Human Context-Awareness and its Application in a Service-Oriented Robotic System, October 2023. *
  11. Christof Hohmann, Risk-Aware Hierarchical Planning for Smart Non-Residential Buildings, September 2023. *
  12. Faisal Khan, Optimized Deployment of Multi-cloud Applications via HTN Planning, University of Stuttgart, June 2023. **
  13. Swjatoslaw Pastuchov, Exploring the Challenges of Engineering AI Planning-Based Applications, University of Stuttgart, June 2023. **
  14. Nicci Sequeira, User Engagement in Smarter Buildings, University of Stuttgart, January 2023. **
  15. Robin Dominic Pesl, A Framework for Games in Connected Cars, University of Stuttgart, December 2021.
  16. Jan Philip Schneider, From a Collection of AI Planners to a Recommendation System, Reutlingen University, April 2021.
  17. Tung Dinh, Energy consumption forecasting in energy management systems, University of Stuttgart, January 2021.
  18. Priyanga Raghavan, Learning Planning Domains for Office Buildings using IoT data, University of Stuttgart, December 2020.
  19. Sebastian Graef, Designing and Implementing Usable, Interoperable and Reusable Services of AI Planning Capabilities, University of Stuttgart, December 2020.
  20. Amimul Hossain, Service-oriented design of energy management systems for microgrids, University of Stuttgart, March 2020.
  21. Stefan Hill, Scalable IoT Platforms, University of Stuttgart, June 2019.
  22. Prashant Gupta, A Framework for Learning Activities of Office Buildings, University of Stuttgart, May 2019.
  23. Bas de Bruijn, Discovering Features for a Smart Heating System, University of Groningen, August 2016.
  24. Xander Elsas, Mobile Application for Energy Management Assistance, University of Groningen, October 2014.
  25. Manuel Martiarena, Tablet Interface for Smart Environments to Reduce Energy Consumption, University of Groningen, August 2012.

Master theses @ Industry

  1. Saranyan Palaniappan, Easy to use methods for securing the channel between mobile apps and connected consumer devices, February 2024.*
  2. Swathy Muthukrishnan, Multi-Modal Two-Wheeler Trajectory Prediction via Representation Learning, December 2023.*
  3. Rachit Garg, Definition and Evaluation of an Onboard Vehicle API Concept, November 2023. *
  4. Hithesh Chandra Chandrashekaraiah, Software in the Loop Simulation Environment for eBike ABS, University of Stuttgart, June 2023. *
  5. Vishwas Avinash Jadhav, Evaluation and Implementation of Zero-Touch Onboarding Solutions for IIoT, University of Stuttgart, May 2023. *
  6. Neha Prakash, Matrix based Route Planning for Battery Electric Vehicles, University of Stuttgart, October 2022.
  7. Shrilesh Kale, Derivation and Verification of Parameters for Operational Design Domains of Automated Driving Systems, University of Stuttgart, March 2022.
  8. Hamzeh Karbasiyan, Realization of AI Planning for the Ubiquitous Computing Environment of Manufacturing Intralogistics, University of Stuttgart, June 2020.

Bachelor theses

  1. Pascal Längerer, Automated reconfiguration of component-based distributed applications by means of HTN planning, ongoing. **
  2. Lukas Müller, Evaluation of the energy efficiency of a university office, ongoing.
  3. Taulant Zanuni, Towards automating indoor farms using AI Planning, December 2023.**
  4. Marcin Dullak, Discovering AI Planning Functionalities using Static Code Analysis, November 2023.**
  5. Jan Philipp Maurice Adomat, Risk-aware HTN Planning for Agricultural Tasks, November 2023.*
  6. Andreas Glinka, Analysing the Energy Efficiency of AI Planners, October 2023.**
  7. Manuel Stamm, Enhancement and Assessment of the PlanX Toolbox for Constructing AI Planning Systems, October 2023.**
  8. Daniel Zacher, Explaining HTN Planning Decisions of Autonomous Vehicles, October 2023.*
  9. Marc Grüber, Simultaneous Localization and Mapping and Path Planning of a Formula Student Race Car, May 2023.*
  10. Marc Grütter, Bluetooth Broadcasting Revisited: Experiments and Comparison to 2009, April 2023.**
  11. Marc Moriabadi, Reducing Carbon Emissions in Kubernetes Clusters through Temporal and Spatial Workload Management, March 2023. *
  12. Ivaylo Spasov, An Approach for Activity Recognition in Buildings based on Temporal HTN Planning, University of Stuttgart, February 2023. **
  13. Moritz Staub, Challenges when Engineering AI Planning Systems – A Systematic Literature Review, University of Stuttgart, October 2022.
  14. Philipp Kunz, Learning Comparison Based Sorting Algorithms Using Machine Learning Techniques, University of Stuttgart, June 2022.
  15. Marius Brügger, An HTN Planning Domain Model for Comfortable Homes, University of Stuttgart, April 2022.
  16. Lukas Steinegger, Who Cites Whom and Who Cites What in AI Planning, University of Stuttgart, October 2021.
  17. Claudio Stanullo, AI Planning for Improved Ventilation Management in Buildings, University of Stuttgart, July 2021.
  18. Barkha Sharma, Exploring the Scientific Landscape of AI Planning using Citation Network Analysis, University of Stuttgart, April 2021.
  19. Robert Philippsohn, A Systematic Mapping Study on Development and Use of AI Planning Tools, University of Stuttgart, April 2021.
  20. Lukas Heiland, Demand Side Management via AI Planning, University of Stuttgart, November 2020.
  21. Martijn Woudt, A Web-Based Interface for Managing Smart Offices, University of Groningen, December 2013.
  22. Angèle Croes, Modeling a Planning Domain for Smart Offices, University of Groningen, August 2013.
  23. Jorrit de Boer, Smart Offices: A Web-based Interface for Task Selection, University of Groningen, July 2013.
  24. Mark Hoekstra, Web-based Interface for Domain Manipulation in Smart Offices, University of Groningen, July 2013