Md Abdul Quddus
Textile Engineering, Chemistry and Science
- Phone: 919.515.6553
- Email: mquddus@ncsu.edu
- Office: 3310 Textiles Complex
- Website: https://scal.textiles.ncsu.edu/
Md Abdul Quddus is an Assistant Professor in the Department of Textile Engineering, Chemistry and Science at NC State University. He also serves as an Associate Faculty in the Operations Research Graduate Program at NC State University. He received his Ph.D. in industrial & systems engineering from Mississippi State University in Starkville, Mississippi. He pursued the master’s program in industrial engineering at Lamar University in Beaumont, Texas, and holds B.Sc. degree in industrial & production engineering from Khulna University of Engineering & Technology, Bangladesh. He served as an assistant professor in industrial & systems engineering in the Department of Engineering & Technology at Southeast Missouri State University. He also has over five years of experience at FedEx Express as a Senior Operations Research Advisor, where he worked on various logistics research projects.
Quddus’s publications have appeared in journals such as Transportation Research Part E, International Journal of Production Economics, Expert Systems with Applications, Applied Energy, Annals of Operations Research, and several conference proceedings. He is a member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial and Systems Engineers (IISE).
Research Interests
Quddus’s research focuses on supply chain and logistics, big data analytics, stochastic programming, geospatial analytics for optimization, and simulation. Furthermore, his specialties also include on the application of AI, machine learning, cloud computing, and operations research techniques to solve large scale supply chain network and risk management problems, and sustainable manufacturing.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Industrial and Systems Engineering | Mississippi State University | 2018 |
| MS | |||
| BS |
Publications
- Designing a reliable electric vehicle charging station expansion under uncertainty
- Quddus, M. A., Shahvari, O., Marufuzzaman, M., Ekşioğlu, S. D., & Castillo-Villar, K. K. (2021), International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2021.108132
- Assessing the Efficiency of 4-Way Stops Compared to Traditional Traffic Signals: A Simulation Approach
- Nur, F., Chowdhury, S., Quddus, T. B. M., Jaradat, R., & Purnell, R. (2020), Methodology, 1, 2.
- A stochastic programming approach for electric vehicle charging station expansion plans
- Kabli, M., Quddus, M. A., Nurre, S. G., Marufuzzaman, M., & Usher, J. M. (2020), International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2019.07.034
- Managing load congestion in electric vehicle charging stations under power demand uncertainty
- Quddus, M. A., Yavuz, M., Usher, J. M., & Marufuzzaman, M. (2019), Expert Systems with Applications, 125, 195–220. https://doi.org/10.1016/j.eswa.2019.02.003
- Modeling electric vehicle charging station expansion with an integration of renewable energy and Vehicle-to-Grid sources
- Quddus, M. A., Kabli, M., & Marufuzzaman, M. (2019), Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2019.06.006
- A collaborative energy sharing optimization model among electric vehicle charging stations, commercial buildings, and power grid
- Usher, J., Shahvari, O., Marufuzzaman, M., Usher, J. M., & Jaradat, R. (2018), Applied Energy. https://doi.org/10.1016/j.apenergy.2018.08.018
- Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network
- Poudel, S., Marufuzzaman, M., Quddus, M. A., Chowdhury, S., Bian, L., & Smith, B. (2018), Energies. https://doi.org/10.3390/en11071682
- A chance-constrained two-stage stochastic programming model for reliable microgrid operations under power demand uncertainty
- Marino, C., Quddus, M. A., Marufuzzaman, M., Cowan, M., & Bednar, A. E. (2018), Sustainable Energy, Grids and Networks. https://doi.org/10.1016/j.segan.2017.12.007
- A two-stage chance-constrained stochastic programming model for a bio-fuel supply chain network
- Quddus, M. A., Chowdhury, S., Marufuzzaman, M., Yu, F., & Bian, L. (2018), International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2017.09.019
- Managing congestion in a multi-modal transportation network under biomass supply uncertainty
- Poudel, S. R., Quddus, M. A., Marufuzzaman, M., Bian, L., & V, R. F. B. (2019), Annals of Operations Research. https://doi.org/10.1007/s10479-017-2499-y
