About Me
I received my Ph.D. in Industrial Engineering from the University of Arkansas. My current research interests are reinforcement learning, operations research, data science, optimization, and analyzing complex systems. Specifically, I am interested in developing and solving stochastic models and proposing optimization algorithms to make optimal/near-optimal decisions for problems dealing with uncertainty.
Expertise
Business & Economics
# Electric Vehicle
# Inventory Replenishment
# Stochastic Scheduling
# Swaps
Engineering & Materials Science
# Biomedical Equipment
# Markov Processes
Social Sciences
# Electric Vehicle
# Scheduling
Organisations
Publications
Recent
Asadi, A., Pinkley, S. N.
, & Mes, M. (2022).
A Markov decision process approach for managing medical drone deliveries.
Expert systems with applications,
204, [117490].
https://doi.org/10.1016/j.eswa.2022.117490
Asadi, A., & Pinkley, S. N. (2022).
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations.
Transportation science,
56(4), 1085-1110.
https://doi.org/10.1287/trsc.2021.1108
Asadi, A., & Pinkley, S. N. (2021).
Drones for Medical Delivery Considering Different Demands Classes: A Markov Decision Process Approach for Managing Health Centers Dispatching Medical Products. Manuscript submitted for publication.
Asadi, A., & Nurre Pinkley, S. (2021).
A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations.
Transportation Research Part E: Logistics and Transportation Review,
146, [102212].
https://doi.org/10.1016/j.tre.2020.102212
Mahmud, S.
, Asadi, A., LaCrue, A. R., Akter, T., Hernandez, S., & Pinkley, S. N. (2021).
A hybrid agent-based simulation and optimization approach for statewide truck parking capacity expansion.
Procedia computer science,
184, 33-41.
https://doi.org/10.1016/j.procs.2021.03.015
Asadi, A., Mehrabad, M. S., & Aghdam, F. F. (2019).
A Two-dimensional Warranty Model with Consideration of Customer and Manufacturer Objectives Solved with Non-Dominated Sorting Genetic Algorithm.
Journal of Optimization in Industrial Engineering,
12(1), 15-22.
https://doi.org/10.22094/JOIE.2018.538225
UT Research Information System
Google Scholar Link
Education
Invited lecturer for Multi Agent Systems (
192320601-1A) - Fall 2021
Affiliated Study Programmes
Master
Courses Academic Year 2022/2023
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2021/2022
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands