Ravelijn

dr. A. Asadi (Amin)

Assistant Professor in Data Science, AI, OR, and Logistics
BMS-HBE-IEBIS
Ravelijn 3418
amin.asadi@utwente.nl
+31534898863
Business card

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

  • Social Sciences

    • Problem
    • Stochastics
    • Approach
    • Decision Process
    • Inventories

  • Computer Science

    • Markov Decision Process
    • Models
    • Process Approach

Organisations

Publications

2025

A CRISP-DM-based methodology for assessing agent-based simulation models using process mining (2025)Journal of simulation, 1-22 (E-pub ahead of print/First online). Bemthuis, R. H., Govers, R. R. & Asadi, A.https://doi.org/10.1080/17477778.2025.2508245

2024

Enhancing pharmaceutical cold supply chain: integrating medication synchronization and diverse delivery modes (2024)International transactions in operational research (E-pub ahead of print/First online). Potters, E., Mosalla Nezhad, B., Bernard, V. J., Hans, E. & Asadi, A.https://doi.org/10.1111/itor.13589Green AI in the Finance Industry: Exploring the Impact of Feature Engineering on the Accuracy and Computational Time of Machine Learning Models (2024)Applied Soft Computing, 167, Part B. Article 112343. Machado, M., Asadi, A., William R. de Souza, R. & Ugulino, W.https://doi.org/10.1016/j.asoc.2024.112343Cost-effectiveness Analysis of Colorectal Cancer Screening Strategies Using Active Learning and Monte Carlo Simulation (2024)Medical decision making, 44(5), 554-571. Fouladi, A., Asadi, A., Sherer, E. A. & Madadi, M.https://doi.org/10.1177/0272989X241258224A CRISP-DM-based Methodology for Assessing Agent-based Simulation Models using Process Mining (2024)[Working paper › Preprint]. ArXiv.org. Bemthuis, R. H., Govers, R. R. & Asadi, A.https://doi.org/10.48550/arXiv.2404.01114

2022

A Markov decision process approach for managing medical drone deliveries (2022)Expert systems with applications, 204. Article 117490. Asadi, A., Pinkley, S. N. & Mes, M.https://doi.org/10.1016/j.eswa.2022.117490A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations (2022)Transportation science, 56(4), 1085-1110. Asadi, A. & Pinkley, S. N.https://doi.org/10.1287/trsc.2021.1108

2021

Drones for Medical Delivery Considering Different Demands Classes: A Markov Decision Process Approach for Managing Health Centers Dispatching Medical Products (2021)[Working paper › Preprint]. Asadi, A. & Pinkley, S. N.A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations (2021)Transportation research. Part E: Logistics and transportation review, 146. Article 102212. Asadi, A. & Nurre Pinkley, S.https://doi.org/10.1016/j.tre.2020.102212A hybrid agent-based simulation and optimization approach for statewide truck parking capacity expansion (2021)Procedia computer science, 184, 33-41. Mahmud, S., Asadi, A., LaCrue, A. R., Akter, T., Hernandez, S. & Pinkley, S. N.https://doi.org/10.1016/j.procs.2021.03.015

Research profiles

Address

University of Twente

Ravelijn (building no. 10), room 3418
Hallenweg 17
7522 NH Enschede
Netherlands

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Organisations

Additional contact information

RA, 3418

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