

Jaemyung Ahn (Google Scholar)
Laboratory :
http://sai.kaist.ac.kr
Research LIST
Aerospace Engineering
Design and Optimization of Complex Aerospace Systems/MissionsResearch contents
Prof. Ahn is leading the Strategic Aerospace Initiative (SAI) research group, which focuses on the design/optimization of complex aerospace systems and associated missions. We are studying the systems architectures and operational concepts during the early phase of the system value chain to make a big impact on the aerospace industry.
Research results
(1) Design of Space Logistics Network and Its Efficient Operations
◻ Category of Space Logistics Problems

◻ Optimal Deployment of Satellite Mega-Constellation Using Various Launch Options

◻ Two-Phase Approach for Solving Complex Space Logistics Problems

Related Publication (Selected)
- T. Sung and J.Ahn, “Optimal deployment of satellite mega-constellation,” Acta Astronautica, Vol. 202, pp. 653-669, 2023. (https://doi.org/10.1016/j.actaastro.2022.10.027)
- D. Lee and J.Ahn, “Optimal Multitarget Rendezvous Using Hybrid Propulsion System,” Journal of Spacecraft and Rockets, Vol. 60, No. 2, 2023, pp. 689-698. (https://doi.org/10.2514/1.A35540)
- J. Bang and J.Ahn,“MultitargetRendezvousforActiveDebrisRemovalUsingMultipleSpacecraft,”Journal of Spacecraft and Rockets, Vol. 56, No. 4, 2019, pp. 1237-1247. (https://doi.org/10.2514/1.A34344)
(2) Optimal Surface Routing
◻ Surface Routing Considering Various Stakeholder Groups

◻ Collaborative Explorational Routing with Heterogeneous Agents

Related Publication (Selected)
- E. Choi and J.Ahn, “Optimal Planetary Surface Exploration with Heterogeneous Agents,” Journal of Spacecraft and Rockets, Vol. 60, No. 4, 2023, pp. 1343-1354.
(https://doi.org/10.2514/1.A35632) - E. Choi and J.Ahn, “Optimal planetary surface routing considering exploration values and synergies,” Journal of Aerospace Information Systems, Vol. 19, No. 6, 2022, pp. 406-420.
(https://doi.org/10.2514/1.I011052) - D. Lee and J.Ahn, “Vehicle Routing Problem with Vector Profits with Max-Min Criterion,” Engineering Optimization, Vol. 51, No. 2, 2019, pp. 352-367.
(https://doi.org/10.1080/0305215X.2018.1458845)