Office hours any time by previous appointment
I studied mathematics at TU Braunschweig (Dipl.-Math, 2009) and received my doctoral degree (Dr. rer. nat.) from TU Darmstadt in 2015. In 2016, I joined the Institute for Mathematical Optimization at TU Braunschweig as a PostDoc. In 2019, I switch over to the Chair for Production and Logistics and became an Independent Junior Research Group Leader in the Cluster of Excellence SE2A.
My research interests lie in mathematical optimization and System Dynamics modeling of exciting problems with an engineering application.
| Semester | Subject |
|---|---|
| WS 23/24 | "Integer Optimization" and "Advanced Linear Algebra" @ TU Clausthal |
| 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.
Helber, S.; Broihan, J.; Joormann, I. (2024): Allocating dynamic wireless charging technology components on airport apron road networks via branch-and-price algorithms, in: Operations Research Proceedings 2023, Springer International Publishing, (to appear).
Manke, L.-M.; Joormann, I. (2024): Hydrogen-powered aviation: An optimization approach deciding on where to incorporate hydrogen into the air traffic sector, in: Operations Research Proceedings 2023, Springer International Publishing, (to appear).
Manke, L.-M.; Joormann, I. (2023): Aircraft Fleet Planning: An Optimization Model with Integrated CO2 Trading Systems, in: Grothe, O; Nickel, S.; Rebennack, S.; Stein, O. (ed.): Operations Research Proceedings 2022, Springer International Publishing, pp. 155–161.
Talwar, C.; Joormann, I.; Spengler, T. S. (2023): Comparison of adoption rates of hydrogen, hydrogen-electric and SAF in the future air transport system with a system dynamics model, in: Grothe, O; Nickel, S.; Rebennack, S.; Stein, O. (ed.): Operations Research Proceedings 2022, Springer International Publishing, pp. 597–602.
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.
Joormann, I.; Talwar, C.; Spengler, T. S. (2024): Shaping the future air transport system: Transition pathways assessment of SAF, hydrogen-electric and hydrogen combustion with a system dynamics simulation model., LeoPARD, TU Braunschweig.
Talwar, C.; Joormann, I. (2024): A system dynamics air transport system simulation model to test transition pathways – Data set and model files, LeoPARD, TU Braunschweig.
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.