Professors

Morteza DAVARI

Associate Professor

Recherche opérationnel, Combinatorial Optimization, Optimisation stocastique, Sport Planning, Scheduling, Project Planning, Data Driven Optimization, Data Mining

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Morteza DAVARI

Academy

Digitalization

Research center

SKEMA Centre for Analytics and Management Science

Location

Lille

Discipline

Analytics Information & Operations

I am an Associate Professor of Operations Research at SKEMA Business School and a Visiting Professor at KU Leuven, holding a Ph.D. in Operations Research from KU Leuven, earned in 2016. My academic journey commenced with a B.Sc. in Industrial Engineering from Ferdowsi University of Mashhad, followed by an M.Sc. in Advanced Business Studies at KU Leuven. My research expertise encompasses diverse fields such as Combinatorial Optimization, Stochastic Optimization, Artificial Intelligence, and Complexity Theory. With a rich academic background and extensive experience in teaching and postdoctoral research, I take pride in contributing significantly to the realms of Operations Research and Industrial Engineering.

Education
2017
Ph.D. in Business Economics, KU Leuven, Belgium
2012
MSc in Advanced Business Studies, KU Leuven, Belgium
2011
BSc in Industrial Engineering, Ferdowsi University of Mashhad, Iran
Experience
Full-time academic positions
Since 2024
Associate Professor, SKEMA Business School, France
Since 2020
Visiting Faculty, KU Leuven, Belgium
Since 2020
Assistant Professor in Operations Research, SKEMA Business School, France
Other academic affiliations and appointments
2017 - 2020
Postdoctoral Researcher at KU Leuven, KU Leuven, Belgium
Other research activities
Reviewer for:
4OR: A Quarterly Journal of Operations Research, Flexible Services and Manufacturing Journal, INFORMS Journal on Computing, Omega, Journal of Scheduling, Annals of Operations Research, Decision Sciences, Computers & Operations Research, European Journal of Operational Research, International Transactions in Operational Research, IIE Transactions
Organization of a conference or a research seminar
2021
The Sports Timetabling competition
PhD Supervision
Since 2023
S. HASEMI, PhD thesis, Thesis co-director
Since 2022
L. GALLOIS, SKEMA Business School, PhD thesis, Thesis director
Since 2021
Y. CHEN, PhD thesis, Thesis jury member
Since 2019
M. LI, University of Ghent, PhD thesis, Thesis jury member
Since 2018
M. GHORBANZADEH, PhD thesis, Thesis co-director
2021
F. YANG, PhD thesis, Thesis jury member
2021
M. PEYMANKAR, Ferdowsi University of Mashhad, PhD thesis, Thesis co-director

Peer-reviewed journal articles

GHORBANZADEH, M., DAVARI, M. and RANJBAR, M. (2024). Energy-aware flow shop scheduling with uncertain renewable energy. Computers & Operations Research, 170(106741).
LI, M., DAVARI, M. and GOOSSENS, D. (2023). Multi-league sports scheduling with different leagues sizes. European Journal of Operational Research, 307(1), pp. 313-327.
BRUSSET, X., DAVARI, M., KINRA, A. and LA TORRE, D. (2023). Modelling ripple effect propagation and global supply chain workforce productivity impacts in pandemic disruptions. International Journal of Production Research, 61(8), pp. 2493-2512.
YANG, F., DAVARI, M., WEI, W., HERMANS, B. and LEUS, R. (2022). Scheduling a single batch machine family with non-identical job sizes and incompatible job families. European Journal of Operational Research, 303(2), pp. 602-615.
BRISKORN, D., DAVARI, M. and MATUSCHKE, J. (2021). Single-machine scheduling with an external resource. European Journal of Operational Research, 293(2), pp. 457-468.
PEYMANKAR, M., DAVARI, M. and RANJBAR, M. (2021). Maximizing the expected net present value in a project with uncertain cash flows. European Journal of Operational Research, 294(2), pp. 442-452.
DAVARI, M., RANJBAR, M., DE CAUSMAECKER, P. and LEUS, R. (2020). Minimizing makespan on a single machine with release dates and inventory constraints. European Journal of Operational Research, 286(1), pp. 115-128.
DAVARI, M., GOOSSENS, D., BELIEN, J., LAMBERS, R. and SPIEKSMA, F.C.R. (2020). The multi-league sports scheduling problem, or how to schedule thousands of matches. Operations Research Letters, 48(2), pp. 180-187.
DAVARI, M. and DEMEULEMEESTER, E. (2019). A novel branch-and-bound algorithm for the chance-constrained resource-constrained project scheduling problem. International Journal of Production Research, 57(4), pp. 1265-1282.
DAVARI, M. and DEMEULEMEESTER, E. (2019). The proactive and reactive resource-constrained project scheduling problem. Journal of Scheduling, 22, pp. 211-237.
DAVARI, M. and DEMEULEMEESTER, E. (2019). Important classes of reactions for the proactive and reactive resource-constrained project scheduling problem. Annals of Operations Research, 274, pp. 187-210.
DAVARI, M., DEMEULEMEESTER, E., LEUS, R. and TALLA NOBIBON, F. (2016). Exact algorithms for a single-machine scheduling problem with time windows and precedence constraints. Journal of Scheduling, 19, pp. 309-334.
ABASIAN, F., RANJBAR, M., SALARI, M., DAVARI, M. and KHATAMI, M. (2014). Minimizing the total weighted late work in scheduling of identical parallel processors with communication delays. Applied Mathematical Modelling, 38(15-16), pp. 3975-3986.
RANJBAR, M. and DAVARI, M. (2013). An exact method for scheduling of the alternative technologies in R&D projects. Computers & Operations Research, 40(1), pp. 395-405.
RANJBAR, M., DAVARI, M. and LEUS, R. (2012). Two branch-and-bound algorithms for the robust parallel machine scheduling problem. Computers & Operations Research, 39(7), pp. 1652-1660.

Conference proceedings

BRUSSET, X., DAVARI, M., KINRA, A. and LA TORRE, D. (2021). Modelling COVID-19 Ripple Effect and Global Supply Chain Productivity Impacts Using a Reaction-Diffusion Time-Space SIS Model. pp. 3-12.
DAVARI, M., DEMEULEMEESTER, E., LEUS, R. and TALLA NOBIBON, F. (2013). Exact algorithms for single-machine scheduling with time windows and precedence constraints.

Book chapters

BRUSSET, X., DAVARI, M., KINRA, A. and LA TORRE, D. (2021). Modelling COVID-19 Ripple Effect and Global Supply Chain Productivity Impacts Using a Reaction-Diffusion Time-Space SIS Model. In: Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero eds. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. 1st ed. Nantes: Springer, pp. 3-12.

Conference presentations

DAVARI, M. (2020). A dynamic programming-based guess-and-check algorithm to minimize makespan on a single machine with release date and inventory constraint. In: 34th conference of the Belgian Operational Research Society (ORBEL34). Lille.
YANG, F., DAVARI, M. and WEI, W. (2020). Scheduling a single batch processing machine with non-identical job sizes and incompatible job families. In: 34st annual conference of the Belgian Operational Research Society (ORBEL34). Lille.
DAVARI, M., BELIEN, J. and GOOSSENS, D. (2019). Polynomial algorithms for the multi-league sport scheduling problem. In: 33st annual conference of the Belgian Operational Research Society (ORBEL33). Hasselt.
DAVARI, M., PEYMANKAR, M. and RANJBAR, M. (2019). Net present value maximization in project scheduling with an external resource. In: 14th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2019). Renesse.
YANG, F., DAVARI, M. and WEI, W. (2019). Scheduling a single batch processing machine with non-identical job sizes and incompatible job families. In: Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA). Ningbo.
DAVARI, M., RANJBAR, M. and LEUS, R. (2018). Minimizing makespan on a single machine with release date and inventory constraints. In: 32st annual conference of the Belgian Operational Research Society (ORBEL32). Liege.
DAVARI, M., BELIEN, J. and DE CAUSMAECKER, P. (2018). A generic solution method for scheduling with inventory constraints. In: EURO-European Conference on Operational research , Valencia (Spain). Valencia.
DAVARI, M. and DEMEULEMEESTER, E. (2017). The proactive and reactive resource-constrained project scheduling problem: the crucial role of buffer-based reactions. In: 31st annual conference of the Belgian Operational Research Society (ORBEL31). Brussels.
DAVARI, M. and DE CAUSMAECKER, P. (2017). A schedule selection method for the proactive and reactive scheduling problem. In: 21st Conference of the International Federation of Operational Research Societies (IFORS 2017). Quebec City.
DAVARI, M. and DEMEULEMEESTER, E. (2016). The proactive and reactive resource-constrained project scheduling problem. In: 28th EURO-European Conference on Operational research. Poznan.
DAVARI, M. and DEMEULEMEESTER, E. (2015). Proactive-reactive resource-constrained project scheduling: A recovery-robust approach. In: OR2015: Business Analytics and Optimisation Conference. Vienna.
DAVARI, M., LAMAS, P. and DEMEULEMEESTER, E. (2014). A new branch-and-bound algorithm for CC-RCPSP. In: OR2014: Business Analytics and Optimisation Conference. Aachen.
DAVARI, M. and DEMEULEMEESTER, E. (2014). Robust RCPSP: a special focus on reactions. In: INFORMS Annual Meeting. San Francisco.
DAVARI, M., TALLA NOBIBON, F. and LEUS, R. (2013). A single machine scheduling problem with time windows and precedence constraints. In: 26th EURO-INFORMS European Conference on Operational Research. Rome.
DAVARI, M., DEMEULEMEESTER, E. and LEUS, R. (2013). Exact algorithms for single-machine scheduling with time windows and precedence constraints. In: Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA). Gent.
DAVARI, M. and RANJBAR, M. (2012). One-by-one or altogether: the advantages of pursuing alternative innovation activities. In: PMS2012 - International Conference on Project Management and Scheduling. Leuven.