Research Output per year
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'.
Mixed Integer Optimization, Polyhedral Theory, Mathematical Programming, Network Optimization, Robust Optimization, Mixed-Integer Multi-Objective Optimization.
Expertise & Capabilities
Academic / Professional 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)
Doctor of Philosophy, University of Aveiro
Master of Science, University of Isfahan
Bachelor of Science, University of Isfahan
Crowd behaviour modelling developments through mixed integer programming: the case of airport queue managementDoostmohammadi, M., Fragniere, E. & Holdsworth, R., 30 Apr 2020, ICITM 2020 - 2020 9th International Conference on Industrial Technology and Management. Piscataway, N.J., p. 32-36 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
MOMO - multi-objective metabolic mixed integer optimization: application to yeast strain engineeringAndrade, R., Doostmohammadi, M., Santos, J. L., Sagot, M-F., Mira, N. P. & Vinga, S., 24 Feb 2020, In : BMC Bioinformatics. 21, 13 p., 69.
Research output: Contribution to journal › Article
Supplementary data for: "Valid inequalities for two-period relaxations of big-bucket lot-sizing problems"