Office hours any time by previous appointment
| Semester | Subject |
|---|---|
| SS 23 | Discrete Optimization |
| WS/SS | Mentoring students in the context of scientific theses |
Talwar, C.; Joormann, I.; Ginster, R.; Spengler, T. S. (2023): How much can electric aircraft contribute to reaching the Flightpath 2050 CO2 emissions goal? A system dynamics approach for European short haul flights, in: Journal of Air Transport Management , 112, pp. 102455.
Tillmann, A. M.; Joormann, I.; Ammann, S. C. M. (2023): Reproducible air passenger demand estimation, in: Journal of Air Transport Management, 112, pp. 102462.
Hansknecht, C.; Joormann, I.; Korn, B.; Morscheck, F.; Stiller, S. (2022): Feeder routing for air-to-air-refueling, in: European Journal of Operational Research, 304 (2), Elsevier, pp. 779–796.
Hansknecht, C.; Joormann, I.; Stiller, S. (2021): Dynamic Shortest Paths Methods for the Time-Dependent TSP, in: Algorithms, 14 (1), MDPI.
Hojny, C.; Joormann, I.; Lüthen, H; Schmidt, M. (2020): Mixed-Integer Programming Techniques for the Connected Max-k-Cut Problem, in: Mathematical Programming Computation, Springer, pp. 1–58.
Joormann, I.; Pfetsch, M.E. (2018): Complexity of Minimum Irreducible Infeasible Subsystem Covers for Flow Networks, in: Discrete Applied Mathematics, 244, Elsevier, pp. 124–142.
Schmidt, M.; Aßmann, D.; Burlacu, R.; Humpola, J.; Joormann, I.; Kanelakis, N.; Koch, T.; Ouchrif, D.; Pfetsch, M.E.; Schewe, L. (2017): Gaslib - A Library of Gas Network Instances, in: Data, 2 (4), Multidisciplinary Digital Publishing Institute.
Joormann, I.; Orlin, J.B.; Pfetsch, M.E. (2016): A characterization of irreducible infeasible subsystems in flow networks, in: Network, 68 (2), Wiley Online Library, pp. 121–129.
Joormann, I. (2015): Analyzing Infeasible Flow Networks, Dr. Hut Verlag, TU Darmstadt, Ph.D. Thesis.
Manke, L.-M.; Joormann, I. (2022): Aircraft Fleet Planning: An Optimization Model with Integrated CO2 Trading Systems, in: Operations Research Proceedings 2022, Springer, (to appear).
Talwar, C.; Joormann, I.; Spengler, T. S. (2022): Comparison of adoption rates of hydrogen, hydrogen-electric and SAF in the future air transport system with a system dynamics model, in: Operations Research Proceedings 2022, Springer, (to appear).
Hiller, B.; Koch, T.; Pfetsch, M.E.; Geißler, B.; Henrion, R.; Joormann, I.; Martin, A.; Morsi, A.; Römisch, W.; Schewe, L.; Schmidt, M; Schultz, R.; Steinbach, M. (2021): Capacity Evaluation for Large-Scale Gas Networks, in: Bock, H.G.; Küfer, K.H.; Maass, P.; Schulz, V. (ed.): German Success Stories in Industrial Mathematics, Springer International Publishing, pp. 23–28.
Joormann, I.; Schmidt, M.; Steinbach, M.C.; Willert, B.M. (2015): What does "feasible" mean?, in: Koch, T.; Hiller, B.; Pfetsch, M.E.; Schewe, L. (ed.): Evaluating gas network capacities, MOS-SIAM Series on Optimization, SIAM, pp. 211–232.
Talwar, C.; Joormann, I.; Ginster, R. (2021): A System Dynamics Model of the Air Transport System – Data set.
Talwar, C.; Joormann, I.; Ginster, R.; Spengler, T. S. (2021): A System Dynamics Model of the Air Transport System – Model description.
Hansknecht, C.; Joormann, I.; Korn, B.; Morscheck, F.; Stiller, S. (2019): Feeder Routing for Air-to-Air Refueling Operations, Optimization Online.
Hansknecht, C.; Joormann, I.; Stiller, S. (2018): Cuts, Primal Heuristics, and Learning to Branch for the Time-Dependent Traveling Salesman Problem, arXiv.
Hojny, C.; Joormann, I.; Lüthen, H; Schmidt, M. (2018): Mixed-Integer Programming Techniques for the Connected Max-k-Cut Problem, Optimization Online.