Maryam Hamidi, Ph.D.

Dr. Maryam Hamidi earned her master’s degrees in M.B.A. and Ph.D. in Systems and Industrial Engineering from the University of Arizona. She earned her M.B.A. degree from Sharif University of Technology and her B.S. degree in Electrical Engineering from Amir-Habir University of Technology.  She joined the faculty at Lamar University in September 2016 and is currently an Assistant Professor of the Industrial Engineering department and the Center for Advances in Port Management. Her areas of expertise are Interactive decision-making, port and waterway Operations. She always enjoys the challenges of real world decision-making applications in Port Operations.

Research Interests

• Reliability Engineering
• Statistical Data Analysis
• Maintenance and Inventory Optimization
• Game Theory
• Warranty and Lease Contract Design

Sponsored Projects

1. Deep Learning-based Auditory Anomaly Detection and Classification for Natural Gas Compressors, Phase I, (Awarded $40,000, 2021). PI - Zhang, J., Co-PI - Hamidi, M. Funded by Well Checked Systems International, OK and Center for Midstream Management and Science, Lamar University.
2. A Railyard Management Software, Phase II, (Awarded $100,000; 12/2020-12/2021). PI - Hamidi, M., Co-PI - Craig, B., Funded by Iron Horse Terminals, TX.
3. Deep Learning-based Defect-Classi cation and Prediction for Midstream Compressors (Awarded $20,000; 10/2020-08/2021). PI - Hamidi, M., Co-PI - Zhang, J., Makki, K., Funded by Center for Midstream Management and Science, Lamar University.
4. A Railyard Management Software (Awarded $52,111; 01/2020-12/2020). PI - Hamidi, M., Co-PI -Craig, B., Funded by Iron Horse Terminals, TX.
5. Deep Learning-based Anomaly Detection for Midstream Infrastructures, (Awarded $29,652; 04/2020-08/2021). PI - Zhang, J., Co-PI Hamidi, M., Funded by Center for Midstream Management and Science, Lamar University.
6. A Decision Framework for Enhancing Waterway Utilization with Application to Houston Ship Channel, (Awarded $32,000; 09/2018-09/2019) PI - Hamidi, M., Co-PI - Wu, X., Funded by Center for Advances in Port Management, Lamar University.
7. Mitigating Impacts of Waterway Closures on Vessel Traffic, (Awarded $33,000; 09/2017-12/2017) PI - Hamidi, M., Funded by Harris County Toll Road Authority, Houston, TX.
8. A Bi-Level Framework for Port Warehouse Storage Policy: A Port of Beaumont Case Study, (Awarded $5,000; 09/2017-09/2018) PI - Hamidi, M., Funded by Research Enhancement Grant, Lamar University.
9. A Reliability-Centered Track Geometry Maintenance Methodology for Railroad: A BNSF Case Study, (Awarded $35,000; 2/2017-12/2017) PI - Hamidi, M., Co-PI - Cho, J., Funded by Center for Advances in Port Management, Lamar University.
10. Designing a Resilient Cyber-Physical Energy Infrastructure for Port and Coastal Areas, (Awarded $32,000; 2/2017-12/2017) PI - Barzegaran, R., Co-PI - Hamidi, M., Funded by Center for Advances in Port Management, Lamar University.
11. Utilization of Unmanned Arial Vehicles for Port Operations, (Awarded $35,000; 2/2017-12/2017) PI - Cho, J., Co-PIs - Hamidi, M., Tokgoz, B., Funded by Center for Advances in Port Management, Lamar University.

 

Refereed Journal Publications

• Kabir, M., Jafari, M., Wu, X., & Hamidi, M. (2022). Study of U-turn behavior of vessels in Houston Ship Channel using AIS Data. Ocean Engineering, (in press).
• Jafari, M., Mobtahej, P., Sedaghat, A., & Hamidi, M. (2021). A soft optimization model to solve space allocation problems in Breakbulk terminals. Computational Research Progress in Applied Science & Engineering (CRPASE), 7(4).
• Zohoori, S., Jafari, M., Hamidi, M.@, & Maihami, R. (2021). An AIS-based data analytic approach for measuring waterway resiliency: a case study of Houston Ship Channel. Maritime Policy & Management, (in press).
• Jafari, M., Zohoori, S., Hamidi, M.@, &Wu, X. (2021). Study of narrow waterways congestion based on Automatic Identification System (AIS) Data. Journal of Ocean Engineering and Science, (in press).
• Zohoori, S., Jafari, M., Hamidi, M.@ & Craig, B. (2021). A vectorized algorithm for waterway traffic analysis using AIS data. Journal of Ocean Technology, 16(4), (in press).
• Hamidi, M., Szidarovszky, F., & Matsumoto, A. (2021). Some notes on dynamic Oligopsonies. Pure Mathematics and Applications, 30(1), (in press).
• Rahimi, B., Hamidi, M.@, Mohassel, A., & Craig, B. (2020). Imperfect condition-based maintenance strategy for a deteriorating rail track system with multiple competitive failure modes. Transportation Engineering, Part A: Systems, 146(9), 04020088.
• Wu, X., Roy, U., Hamidi, M., & Craig, B. (2020). Estimate travel time of ships in narrow channel based on AIS data. Ocean Engineering, 202, 106790.
• Rahimi, B., Mohassel, A., & Hamidi, M.@ (2020). Railroad track geometry degradation analysis: a BNSF case study. Transportation Engineering, Part A: Systems, 146(2), 04019068.
• Kaneria, A., Hamidi, M.@, Zhu, W., & Craig, B. (2019). Traffic simulation of Houston Ship Channel for assessing the impact of waterway closures on vessel waiting time. Journal of Waterway, Port, Coastal, and Ocean Engineering, ASCE, 145(4), 04019014.
• Rahimi, B., Abedi, A., Hamidi, M.@, & Cho, J. (2018). Simulation modeling of Houston Ship Channel vessel traffic for optimal closure scheduling. Simulation Modelling Practice & Theory, 80, 89(103).
• Hamidi, M., Liao, H., & Szidarovszky, F. (2016). Noncooperative and cooperative game theoretic models for usage based lease contracts. European Journal of Operational Research, 255 (1), 163-174.
• Hamidi, M., & Szidarovszky, F. (2016). New one cycle criteria for optimizing preventive replacement policies. Reliability Engineering & System Safety, 154, 42-48.
• Kucuksari, S., Khaleghi, A., Hamidi, M., Zhang, Y., Szidarovszky, F., Bayraksan, G., & Son, Y. (2014). An integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments. Applied Energy, 113, 1601-1613.

Refereed Conference Proceedings

• Thapa, K._, Hamidi, M., Zhu, W., & Craig, B. “A storage yard cargo assignment model: Port of Beaumont case study". In: Proc. of Institute of Industrial and Systems Engineers, May 2018.
• Hamidi, M., Gharehgozli, A., & Szidarovszky, F. “Interactive decision making models for maritime freight carriers". In: Proc.of Western decision Sciences Institute, April 2018.
• Hamidi, M., Matsumoto, A., Szidarovszky, F. & Rahimi, B. “Optimal imperfect maintenance of a machine shop with different virtual ages". In: Proc. of Western Decision Sciences Institute, April 2018.
• Rahimi, B., Abtahi, A., Hamidi, M., Cho, J. & Stromberg, E. “Optimal ship channel closure scheduling for a bridge construction". In: Proc. of Institute of Industrial and Systems Engineers, 530-536, May 2017.
• Hamidi, M., Matsumoto, A. & Szidarovszky, F. “Optimal schedule of repair or replacement after degradation is noticed". In: Proc. of Western Decision Sciences Institute, April 2017.
• Hamidi, M., Szidarovszky, F., & Matsumoto, A. “A one-cycle model in scheduling preventive replacement". In: Proc. of Western Decision Sciences Institute, #4, April 2016.
• Eskandari, A., Hamidi, M., & Szidarovszky, F. “Competition of farms in distributing irrigation water". In: Proc. of Western Decision Sciences Institute, #24, April 2016.
• Hamidi, M., Liao, H., & Szidarovszky, F. “A game-theoretic model for outsourcing maintenance services". In: Proc. of Reliability and Maintainability Symposium (RAMS), 1-6, January 2014.
• Hamidi, M., Liao, H., & Szidarovszky, F. “A game-theoretic model for establishing maintenance service contracts". In: Proc. of Institute of Industrial and Systems Engineers, #3178, January 2013.

• Ph.D. Systems and Industrial Engineering, University of Arizona
• M.B.A., Sharif University of Technology
• B.S. Electrical Engineering, Amir-Kabir University of Technology

• Certified Reliability Professional (2016), Awarded and funded by ReliaSoft
• Society of Reliability Engineering Hans Reiche Scholarship (2016)
• Student-Faculty Interaction Award (2015), University of Arizona
• Professional Opportunities Development Grant (2015), University of Arizona

Current Students

Sepideh Zohoori
Sepideh is a D.E. student in the Industrial Engineering department at Lamar University. She has received M.Sc. of Logistics and Supply Chain Management from Industrial Engineering department of Amir Kabir University of Technology, Tehran, Iran. Her research area is resiliency in port management, Optimization, and Big data.
Email: szohoori@lamar.edu
LinkedIn: https://www.linkedin.com/in/sepide-zohoori-50150184/


Masood Jafari Kang
Masood is a D.E. student in the Department of Industrial Engineering at Lamar University. He has graduated in M.S. of Transportation Planning from Iran University of Science and Technology (IUST), Tehran, Iran, in 2015. His major skills and interests are Optimization, Computer Programming, and Big data.
Email: mjafarikang@lamar.edu
LinkedIn : https://www.linkedin.com/in/masood-jafari-kang-30762a49/

 

Pooyan Mobtahej

Pooyan is a D.E. students who studied Software Engineering and Management at Chalmers/Gothenburg University in Sweden. During his studies he has worked on several projects for reducing costs in SW development industry which led to several industrial frameworks such as Innovation Maturity Model for reducing cost of development and production and improving efficiency. After several years of experience within startups he found his passion to peruse D.E. in industrial engineering to follow up his interested area of research with data science in US industry.

 

Alumni

Behnam Rahimikelarijani: Behnam has graduated from the department of industrial engineering at Lamar University. His doctoral dissertation title was “Rail track geometry degradation and maintenance modeling.”
Email: brahimikelar@lamar.edu
LinkedIn : https://www.linkedin.com/in/behnam326/