Dr Mahdi Doostmohammadi

Lecturer

Management Science

Personal statement

Mahdi Doostmohammadi joined the Department of Management Science at Strathclyde Business School as a Lecturer (Assistant Professor) in Operational Research in October 2018. He received the B.Sc. and M.Sc. degrees in Applied Mathematics from University of Isfahan, Iran, in 2004 and 2007, respectively, and the Ph.D. degree in Operational Research from University of Aveiro, Portugal, in 2014. Afterwards, he moved to the UK and worked as a Post-Doctoral Research Associate in the Department of Management Science of University of Strathclyde. Then he worked as a Post-Doctoral Researcher at the Department of Mechanical Engineering of Instituto Superior Técnico, University of Lisbon. Before joining the Strathclyde Business School, he held a Lecturer (Assistant Professor) position in Operational Research at the School of Mathematics of University of Edinburgh.

His research interests lie primarily in mixed integer optimization, mathematical programming, network optimization, mixed integer multi-objective optimization, robust optimization and their applications, in particular in production planning, transportation and inventory routing planning, and metabolic engineering.

Mahdi is currently the director of MSc programme in 'Data Analytics' and online programmes in 'Operational Research' and 'Business Analysis and Consulting'.

Expertise

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Prize And Awards

First Award of B.Sc. graduates of Department of Mathematics: Recipient; 2004

More prizes and awards

Qualifications

- B.Sc. in Applied Mathematics (Computer Science), University of Isfahan (UI), Isfahan, Iran (2000-2004)

- M.Sc. in Mathematics (Optimization and Optimal Control), University of Isfahan (UI), Isfahan, Iran (2005-2007)

- Ph.D. with Honors in Operational Research, University of Aveiro (UA), Aveiro, Portugal (2009-2014)

Publications

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Publications

Estimating the impact of lifestyle changes on treatment outcomes for people with knee osteoarthritis through system dynamics simulation modelling: Masilionyte Milda, McLean Ian, Harding Oliver, Doostmohammadi Mahdi; Journal of the Operational Research Society Vol 72, pp. 2649-2660 (2021); https://doi.org/10.1080/01605682.2020.1806743
Crowd behaviour modelling developments through mixed integer programming : the case of airport queue management: Doostmohammadi Mahdi, Fragniere Emmanuel, Holdsworth Rosanna; ICITM 2020 - 2020 9th International Conference on Industrial Technology and Management 9th International Conference on Industrial Technology and Management, ICITM 2020, pp. 32-36 (2020); https://doi.org/10.1109/ICITM48982.2020.9080350
MOMO - multi-objective metabolic mixed integer optimization : application to yeast strain engineering: Andrade Ricardo, Doostmohammadi Mahdi, Santos João L, Sagot Marie-France, Mira Nuno P, Vinga Susana; BMC Bioinformatics Vol 21 (2020); https://doi.org/10.1186/s12859-020-3377-1
MOMO - multi-objective metabolic mixed integer optimization : application to yeast strain engineering: Andrade Ricardo, Doostmohammadi Mahdi, Santos João L, Sagot Marie-France, Mira Nuno P, Vinga Susana; (2018); https://doi.org/10.1101/476689
A theoretical and computational analysis of lot-sizing in remanufacturing with separate setups: Syed Ali Sharifah Aishah, Doostmohammadi Mahdi, Akartunali Kerem, van der Meer Robert; International Journal of Production Economics Vol 203, pp. 276-285 (2018); https://doi.org/10.1016/j.ijpe.2018.07.002
Valid inequalities for two-period relaxations of big-bucket lot-sizing problems : zero setup case: Doostmohammadi Mahdi, Akartunali Kerem; European Journal of Operational Research Vol 267, pp. 86-95 (2018); https://doi.org/10.1016/j.ejor.2017.11.014

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Research

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Research Interests

Mixed Integer Optimization, Polyhedral Theory, Mathematical Programming, Network Optimization, Robust Optimization, Mixed-Integer Multi-Objective Optimization.