Johannes Varga
Projektass. Dipl.-Ing. / BSc BSc
Role
-
PreDoc Researcher
Algorithms and Complexity, E192-01
Projects
Publications
- Interactive Personnel Scheduling for Improved User Experience / Varga, J. (2026, July 31). Interactive Personnel Scheduling for Improved User Experience [Presentation]. Wöchentliches wissenschaftliches Seminar am Honda Research Institute Europe, Offenbach, Germany. http://hdl.handle.net/20.500.12708/231438
- Timing of Queries in Interactive Job Scheduling / Varga, J., Raidl, G., & Rodemann, T. (2026, July 16). Timing of Queries in Interactive Job Scheduling [Conference Presentation]. The 24th Conference of the International Federation of Operational Research Societies (IFORS 2026), Wien, Austria.
- Timing of Queries in Interactive Job Scheduling / Varga, J., Korinek, H., Raidl, G. R., & Rodemann, T. (2026). Timing of Queries in Interactive Job Scheduling. In Computer Aided Systems Theory : EXTENDED ABSTRACTS : 20th International Conference on Computer Aided Systems Theory : Las Palmas de Gran Canaria, Spain, February 2026 (pp. 60–61).
-
Learning to Predict User Replies in Interactive Job Scheduling
/
Varga, J., Raidl, G., & Rodeman, T. (2026). Learning to Predict User Replies in Interactive Job Scheduling. In G. Nicosia, V. Ojha, S. Giesselbach, P. Pardalos, R. Umeton, E. La Malfa, & G. La Malfa (Eds.), Machine Learning, Optimization, and Data Science : 11th International Conference, LOD 2025, Castiglione della Pescaia, Italy, September 21–24, 2025, Revised Selected Papers, Part I (pp. 271–285). Springer. https://doi.org/10.1007/978-3-032-21477-5_18
Project: Cooperative Personnel Scheduling (2022–2026) -
Annoyance Modeling in Cooperative Personnel Scheduling
/
Attig, C., Varga, J., Schrills, T., Rodemann, T., & Raidl, G. (2026). Annoyance Modeling in Cooperative Personnel Scheduling. In T. Z. Ahram (Ed.), Human Factors in Simulation, Software and Systems Engineering : Proceedings of the 17th International Conference on applied Human Factors and Ergonomics and the Affiliated Conferences, Istanbul, Turkey (pp. 49–59). https://doi.org/10.54941/ahfe1007693
Project: Cooperative Personnel Scheduling (2022–2026) - Learning to Predict User Replies in Interactive Job Scheduling / Varga, J. (2025, November 6). Learning to Predict User Replies in Interactive Job Scheduling [Presentation]. Austrian Workshop on Metaheuristics and Machine Learning 2025 (AWMHML 2025), Wien, Austria. http://hdl.handle.net/20.500.12708/225755
-
Selecting User Queries in Interactive Job Scheduling
/
Varga, J., Raidl, G. R., & Rodemann, T. (2025). Selecting User Queries in Interactive Job Scheduling. In A. Quesada-Arencibia, M. Affenzeller, & R. Moreno-Díaz (Eds.), Computer Aided Systems Theory – EUROCAST 2024 : 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25 – March 1, 2024, Revised Selected Papers, Part I (pp. 202–210). Springer. https://doi.org/10.1007/978-3-031-82949-9_19
Project: Cooperative Personnel Scheduling (2022–2026) - Tackling the α-Domination Problem Heuristically / Iurlano, E., Varga, J., & Raidl, G. R. (2025). Tackling the α-Domination Problem Heuristically. In A. Quesada-Arencibia, M. Affenzeller, & R. Moreno-Díaz (Eds.), Computer Aided Systems Theory : EUROCAST 2024 : 19th International Conference, Revised Selected Papers, Part I (pp. 148–156). Springer. https://doi.org/10.1007/978-3-031-82949-9_14
-
Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem
/
Bresich, M., Varga, J., Raidl, G. R., & Limmer, S. (2024). Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem. In B. Dorronsoro, R. Ellaia, & E.-G. Talbi (Eds.), Metaheuristics and Nature Inspired Computing : 9th International Conference, META 2023, Marrakech, Morocco, November 1–4, 2023, Revised Selected Papers (pp. 3–20). Springer. https://doi.org/10.1007/978-3-031-69257-4_1
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Improving User Experience in Interactive Job Scheduling
/
Varga, J. (2024, September 12). Improving User Experience in Interactive Job Scheduling [Poster Presentation]. HRI European Graduate Network (EGN) Symposium, Offenbach, Germany.
Project: Cooperative Personnel Scheduling (2022–2026) -
Scheduling jobs using queries to interactively learn human availability times
/
Varga, J., Raidl, G. R., Rönnberg, E., & Rodemann, T. (2024). Scheduling jobs using queries to interactively learn human availability times. COMPUTERS & OPERATIONS RESEARCH, 167, Article 106648. https://doi.org/10.1016/j.cor.2024.106648
Download: Scheduling jobs using queries to interactively learn human availability times (1.05 MB)
Project: Cooperative Personnel Scheduling (2022–2026) -
Learning to Predict User Replies in Interactive Job Scheduling
/
Varga, J. (2024, June 21). Learning to Predict User Replies in Interactive Job Scheduling [Presentation]. Weekly scientific seminar at Honda Research Institute Europe, Offenbach, Germany.
Project: Cooperative Personnel Scheduling (2022–2026) -
Speeding Up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks
/
Varga, J., Karlsson, E., Raidl, G. R., Rönnberg, E., Lindsten, F., & Rodemann, T. (2024). Speeding Up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks. In G. Nicosia, V. Ojha, & E. La Malfa (Eds.), Machine Learning, Optimization, and Data Science : 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected Papers, Part I (pp. 24–38). Springer. https://doi.org/10.1007/978-3-031-53969-5_3
Project: Cooperative Personnel Scheduling (2022–2026) -
Large neighborhood search for electric vehicle fleet scheduling
/
Limmer, S., Varga, J., & Raidl, G. (2023). Large neighborhood search for electric vehicle fleet scheduling. Energies, 16(12), Article 4576. https://doi.org/10.3390/en16124576
Download: PDF (328 KB) - An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles / Limmer, S., Varga, J., & Raidl, G. R. (2023). An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles. In J. G. M. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings (pp. 3–18). Springer. https://doi.org/10.1007/978-3-031-30229-9_1
- Interactive Job Scheduling with Partially Known Personnel Availabilities / Varga, J., Raidl, G. R., Rönnberg, E., & Rodemann, T. (2023). Interactive Job Scheduling with Partially Known Personnel Availabilities. In B. Dorronsoro, F. Chicano, G. Danoy, & E.-G. Talbi (Eds.), Optimization and Learning: 6th International Conference, OLA 2023, Malaga, Spain, May 3–5, 2023, Proceedings (pp. 236–247). Springer. https://doi.org/10.1007/978-3-031-34020-8_18
-
Computational Methods for Scheduling the Charging and Assignment of an On-Site Shared Electric Vehicle Fleet
/
Varga, J., Raidl, G., & Limmer, S. (2022). Computational Methods for Scheduling the Charging and Assignment of an On-Site Shared Electric Vehicle Fleet. IEEE Access, 10, 105786–105806. https://doi.org/10.1109/ACCESS.2022.3210168
Download: PDF (2.25 MB) -
Computational Methods for fleet scheduling in E-mobility
/
Varga, J. (2021). Computational Methods for fleet scheduling in E-mobility [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.87627
Download: PDF (1.26 MB)
Supervisions
-
Graph neural networks meet local search for the weighted total domination problem
/
Simunics, A. (2024). Graph neural networks meet local search for the weighted total domination problem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.108221
Download: PDF (3.65 MB) -
Hybrid metaheuristics based on large neighborhood search and mixed integer linear programming for the directed feedback vertex set problem
/
Bresich, M. (2023). Hybrid metaheuristics based on large neighborhood search and mixed integer linear programming for the directed feedback vertex set problem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102404
Download: PDF (1.66 MB)