Changhyun Kwon
Affiliations: | Industrial Engineering | State University of New York, Buffalo, Buffalo, NY, United States |
Area:
Operations Research, Transportation, Industrial EngineeringGoogle:
"Changhyun Kwon"Children
Sign in to add trainee| Iakovos Toumazis | grad student | SUNY Buffalo | |
| Paul G. Berglund | grad student | 2012 | SUNY Buffalo |
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Publications
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| Zhang A, Kang JE, Kwon C. (2020) Generalized Stable User Matching for Autonomous Vehicle Co-Ownership Programs Service Science. 12: 61-79 |
| Takalloo M, Bogyrbayeva A, Charkhgard H, et al. (2020) Solving the winner determination problem in combinatorial auctions for fractional ownership of autonomous vehicles International Transactions in Operational Research |
| Melendez KA, Das TK, Kwon C. (2020) A Nash-bargaining model for trading of electricity between aggregations of peers International Journal of Electrical Power & Energy Systems. 123: 106185 |
| Taslimi M, Batta R, Kwon C. (2020) Medical waste collection considering transportation and storage risk Computers & Operations Research. 120: 104966 |
| Melendez KA, Das TK, Kwon C. (2020) Optimal operation of a system of charging hubs and a fleet of shared autonomous electric vehicles Applied Energy. 279: 115861 |
| Takalloo M, Kwon C. (2020) Sensitivity of wardrop equilibria: revisited Optimization Letters. 14: 781-796 |
| Eaton MJ, Yurek S, Haider Z, et al. (2019) Spatial conservation planning under uncertainty: adapting to climate change risks using modern portfolio theory. Ecological Applications : a Publication of the Ecological Society of America. e01962 |
| Su L, Kwon C. (2019) Risk-Averse Network Design with Behavioral Conditional Value-at-Risk for Hazardous Materials Transportation Transportation Science. 54: 184-203 |
| Sun L, Karwan MH, Kwon C. (2019) Path-Based Approaches to Robust Network Design Problems Considering Boundedly Rational Network Users: Transportation Research Record. 2673: 637-645 |
| Subramanian V, Das TK, Kwon C, et al. (2019) A data-driven methodology for dynamic pricing and demand response in electric power networks Electric Power Systems Research. 174: 105869 |