Ashkan Negahban earned his Ph.D. and M.E. from Auburn University and a B.S. from University of Tehran (all in Industrial and Systems Engineering). Prior to joining Penn State, he was an instructor at Auburn University where he taught courses in Simulation Modeling & Analysis and Probability & Statistics. His research interests include the application of different types of simulation (discrete event, agent-based, and Monte Carlo) in manufacturing system design and operation and marketing-operations management interface. He has also developed several video-based e-learning series which have received world-wide publicity and are used by faculty from leading institutions around the world.
2014 ACM Special Interest Group on Simulation and Modeling (SIGSIM) Award.
2014 Outstanding Doctoral Fellow Award, Auburn University.
Negahban, Ashkan, and Jeffrey S. Smith. "A joint analysis of production and seeding strategies for new products: An agent-based simulation approach." Revision under review at Annals of Operations Research
Negahban, Ashkan, and Jeffrey S. Smith. "The effect of supply and demand uncertainties on the optimal production and sales plans for new products." International Journal of Production Research 54, no. 13 (2016): 3852-3869.
Negahban, Ashkan, Mohammadnaser Ansari, and Jeffrey S. Smith. "ADD-MORE: Automated dynamic display of measures of risk and error." In Proceedings of the 2016 Winter Simulation Conference. IEEE, 2016.
Negahban, Ashkan, and Jeffrey S. Smith. "Simulation for manufacturing system design and operation: Literature review and analysis." Journal of Manufacturing Systems 33, no. 2 (2014): 241-261.
Negahban, Ashkan, and Levent Yilmaz. "Agent-based simulation applications in marketing research: an integrated review." Journal of Simulation 8, no. 2 (2014): 129-142.
Negahban, Ashkan, Levent Yilmaz, and Trenton Nall. "Managing production level in new product diffusion: an agent-based simulation approach." International Journal of Production Research 52, no. 17 (2014): 4950-4966.
Ansari, Mohammadnaser, Ashkan Negahban, Fadel M. Megahed, and Jeffrey S. Smith. "HistoRIA: A new tool for simulation input analysis." In Proceedings of the 2014 Winter Simulation Conference, pp. 2702-2713. IEEE, 2014.
Azadeh, A., A. Negahban, and M. Moghaddam. "A hybrid computer simulation-artificial neural network algorithm for optimisation of dispatching rule selection in stochastic job shop scheduling problems." International Journal of Production Research 50, no. 2 (2012): 551-566.
Azadeh, Ali, Mohsen Moghaddam, S. M. Asadzadeh, and Ashkan Negahban. "An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization: the case of injection process with ambiguous data." European Journal of Operational Research 214, no. 3 (2011): 768-779.
B.S., Industrial and Systems Engineering, University of Tehran
M.E., Industrial and Systems Engineering, Auburn University
Ph.D., Industrial and Systems Engineering, Auburn University