Mohamed Kais Msakni
Om
M. Kais Msakni joined the Department of Industrial Economics and Technology Management in 2018. Holding bachelor’s and master’s degrees in computer science, he started his journey in combinatorial optimization and operations research while preparing his PhD at the University of Tunis, which he obtained in 2012.
Kais specializes in tackling deterministic problems employing various techniques, including advanced linear programming models and heuristics. Recently, he has developed an interest in the field of machine learning. His research extends a range of applications in transportation and logistics.
Publikasjoner
2025
-
Konovalenko, Anna;
Hvattum, Lars Magnus;
Msakni, Mohamed Kais.
(2025)
Using machine learning to identify hidden constraints in vehicle routing problems.
Computers & Operations Research
Vitenskapelig artikkel
2024
-
Mhiri, Mariem;
Msakni, Mohamed Kais;
Hasna, Mazen;
Khattab, Tamer;
Haouari, Mohamed.
(2024)
Exact and heuristic approaches for maximizing flows in UAV-enabled wireless cellular networks with multi-hop backhauls.
RAIRO - Operations Research
Vitenskapelig artikkel
-
Sønnervik, Helle Hagli;
Msakni, Mohamed Kais;
Schütz, Peter.
(2024)
Decarbonizing the Norwegian fishery fleet – strategic fleet renewal with environmental considerations.
Maritime Transport Research
Vitenskapelig artikkel
2023
-
Bergmann, Morten;
Msakni, Mohamed Kais;
Hemmati, Ahmad;
Fagerholt, Kjetil.
(2023)
An adaptive heuristic for Feeder Network Design with optional transshipment.
Transportation Research Part E: Logistics and Transportation Review
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Risan, Anders;
Schütz, Peter.
(2023)
Using machine learning prediction models for quality control: a case study from the automotive industry.
Computational Management Science
Vitenskapelig artikkel
2021
-
Risan, Anders;
Msakni, Mohamed Kais;
Schütz, Peter.
(2021)
A Neural Network Model for Quality Prediction in the Automotive Industry.
IFIP Advances in Information and Communication Technology
Vitenskapelig artikkel
2020
-
Akbar, Abeera;
Aasen, Anna Kristine Almestad;
Msakni, Mohamed Kais;
Fagerholt, Kjetil;
Lindstad, Elizabeth;
Meisel, Frank.
(2020)
An economic analysis of introducing autonomous ships in a short‐sea liner shipping network.
International Transactions in Operational Research
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Fagerholt, Kjetil;
Meisel, Frank;
Lindstad, Elizabeth.
(2020)
Analyzing different designs of liner shipping feeder networks: a case study.
Transportation Research Part E: Logistics and Transportation Review
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Akbar, Abeera;
Aasen, Anna Kristine Almestad;
Fagerholt, Kjetil;
Meisel, Frank;
Lindstad, Elizabeth.
(2020)
Can autonomous ships help short-sea shipping become more cost-efficient?.
Operations Research Proceedings
Vitenskapelig artikkel
-
Medbøen, Carl Axel Benjamin;
Holm, Magnus Bolstad;
Msakni, Mohamed Kais;
Fagerholt, Kjetil;
Schütz, Peter.
(2020)
Combining Optimization and Simulation for Designing a Robust Short-sea Feeder Network.
Algorithms
Vitenskapelig artikkel
2019
-
Rabadi, Ghaith;
Msakni, Mohamed Kais;
Rodriguez-Velasquez, Elkin;
Alvarez-Bermudez, William.
(2019)
New characteristics of optimal solutions for the two-machine flowshop problem with unlimited buffers.
Journal of the Operational Research Society
Vitenskapelig artikkel
2018
-
Msakni, Mohamed Kais;
Diabat, Ali;
Rabadi, Ghaith;
Al-Salem, Mohamed;
Kotachi, Mariam.
(2018)
Exact methods for the quay crane scheduling problem when tasks are modeled at the single container level.
Computers & Operations Research
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2018)
Short-term planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Vitenskapelig artikkel
2016
-
Msakni, Mohamed Kais;
Khallouli, Wael;
Al-Salem, Mohamed;
Ladhari, Talel.
(2016)
Minimizing the total completion time in a two-machine flowshop problem with time delays.
Engineering optimization (Print)
Vitenskapelig artikkel
-
Al-Haidous, Sara;
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2016)
Optimal planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Vitenskapelig artikkel
-
Mutlu, Fatih;
Msakni, Mohamed Kais;
Yildiz, Hakan;
Sönmez, Erkut;
Pokharel, Shaligram.
(2016)
A comprehensive annual delivery program for upstream liquefied natural gas supply chain.
European Journal of Operational Research
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Konovalenko, Anna;
Hvattum, Lars Magnus;
Msakni, Mohamed Kais.
(2025)
Using machine learning to identify hidden constraints in vehicle routing problems.
Computers & Operations Research
Vitenskapelig artikkel
-
Mhiri, Mariem;
Msakni, Mohamed Kais;
Hasna, Mazen;
Khattab, Tamer;
Haouari, Mohamed.
(2024)
Exact and heuristic approaches for maximizing flows in UAV-enabled wireless cellular networks with multi-hop backhauls.
RAIRO - Operations Research
Vitenskapelig artikkel
-
Sønnervik, Helle Hagli;
Msakni, Mohamed Kais;
Schütz, Peter.
(2024)
Decarbonizing the Norwegian fishery fleet – strategic fleet renewal with environmental considerations.
Maritime Transport Research
Vitenskapelig artikkel
-
Bergmann, Morten;
Msakni, Mohamed Kais;
Hemmati, Ahmad;
Fagerholt, Kjetil.
(2023)
An adaptive heuristic for Feeder Network Design with optional transshipment.
Transportation Research Part E: Logistics and Transportation Review
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Risan, Anders;
Schütz, Peter.
(2023)
Using machine learning prediction models for quality control: a case study from the automotive industry.
Computational Management Science
Vitenskapelig artikkel
-
Risan, Anders;
Msakni, Mohamed Kais;
Schütz, Peter.
(2021)
A Neural Network Model for Quality Prediction in the Automotive Industry.
IFIP Advances in Information and Communication Technology
Vitenskapelig artikkel
-
Akbar, Abeera;
Aasen, Anna Kristine Almestad;
Msakni, Mohamed Kais;
Fagerholt, Kjetil;
Lindstad, Elizabeth;
Meisel, Frank.
(2020)
An economic analysis of introducing autonomous ships in a short‐sea liner shipping network.
International Transactions in Operational Research
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Fagerholt, Kjetil;
Meisel, Frank;
Lindstad, Elizabeth.
(2020)
Analyzing different designs of liner shipping feeder networks: a case study.
Transportation Research Part E: Logistics and Transportation Review
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Akbar, Abeera;
Aasen, Anna Kristine Almestad;
Fagerholt, Kjetil;
Meisel, Frank;
Lindstad, Elizabeth.
(2020)
Can autonomous ships help short-sea shipping become more cost-efficient?.
Operations Research Proceedings
Vitenskapelig artikkel
-
Medbøen, Carl Axel Benjamin;
Holm, Magnus Bolstad;
Msakni, Mohamed Kais;
Fagerholt, Kjetil;
Schütz, Peter.
(2020)
Combining Optimization and Simulation for Designing a Robust Short-sea Feeder Network.
Algorithms
Vitenskapelig artikkel
-
Rabadi, Ghaith;
Msakni, Mohamed Kais;
Rodriguez-Velasquez, Elkin;
Alvarez-Bermudez, William.
(2019)
New characteristics of optimal solutions for the two-machine flowshop problem with unlimited buffers.
Journal of the Operational Research Society
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Diabat, Ali;
Rabadi, Ghaith;
Al-Salem, Mohamed;
Kotachi, Mariam.
(2018)
Exact methods for the quay crane scheduling problem when tasks are modeled at the single container level.
Computers & Operations Research
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2018)
Short-term planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Vitenskapelig artikkel
-
Msakni, Mohamed Kais;
Khallouli, Wael;
Al-Salem, Mohamed;
Ladhari, Talel.
(2016)
Minimizing the total completion time in a two-machine flowshop problem with time delays.
Engineering optimization (Print)
Vitenskapelig artikkel
-
Al-Haidous, Sara;
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2016)
Optimal planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Vitenskapelig artikkel
-
Mutlu, Fatih;
Msakni, Mohamed Kais;
Yildiz, Hakan;
Sönmez, Erkut;
Pokharel, Shaligram.
(2016)
A comprehensive annual delivery program for upstream liquefied natural gas supply chain.
European Journal of Operational Research
Vitenskapelig artikkel
Formidling
2024
-
Vitenskapelig foredragBarstad, Andreas; Schütz, Peter; Msakni, Mohamed Kais; Hvattum, Lars Magnus. (2024) Breaking down The Amazon Routing Challenge: A heuristic approach for the clustered TSP. Odysseus 2024 , Carmona 2024-05-19 - 2024-05-24
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Vitenskapelig foredragMsakni, Mohamed Kais; Egging-Bratseth, Ruud. (2024) Decision support tools for decarbonization in ports. BI Norwegian Business School NORS Annual Conference 2024 , Oslo 2024-12-26 - 2024-12-27
2023
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Faglig foredragMsakni, Mohamed Kais. (2023) A machine learning model to improve the billet heating process. NTNU Avslutningsseminar Lean Digital prosjektet , Trondheim 2023-12-12 - 2023-12-12
2022
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Faglig foredragMsakni, Mohamed Kais. (2022) Enhancing the performance of the billet heating system using ML. Benteler Benterler workshop , Raufoss 2022-09-06 - 2022-09-07
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Faglig foredragMsakni, Mohamed Kais. (2022) Machine learning models for Quality control. Institutt for industriell økonomi og teknologiledelse Internal Research Seminars , Trondheim 2022-08-23 - 2022-08-23
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Faglig foredragMsakni, Mohamed Kais. (2022) A machine learning model to improve the billet heating process. NTNU and Equinor Lean Digital fagdag , Bergen 2022-09-30 - 2022-09-30
2021
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Populærvitenskapelig foredragMsakni, Mohamed Kais; Schütz, Peter. (2021) Quality control prediction using a neural network model. Benteler Seminar with Benteler , Benteler Raufoss 2021-09-06 - 2021-09-06
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Vitenskapelig foredragMsakni, Mohamed Kais; Risan, Anders; Schütz, Peter. (2021) Machine learning models for quality prediction. the Norwegian Operations Research community NORS annual conference , Bergen 2021-11-17 - 2021-11-18
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Vitenskapelig foredragBergmann, Morten; Hemmati, Ahmad; Fagerholt, Kjetil; Msakni, Mohamed Kais. (2021) A liner shipping feeder network with optional daughter routes. NHH NORS Annual Conference 2021 , Bergen 2021-11-17 - 2021-11-18
2019
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Vitenskapelig foredragFagerholt, Kjetil; Msakni, Mohamed Kais; Meisel, Frank; Lindstad, Elizabeth. (2019) Liner Shipping Network Design with Autonomous Vessels: a Norwegian Case Study. International Network Optimization Conference , Avignon 2019-06-12 - 2019-06-14
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Vitenskapelig foredragFagerholt, Kjetil; Msakni, Mohamed Kais; Meisel, Frank; Lindstad, Elizabeth. (2019) Liner feeder network design with autonomous ships: a Norwegian case study. Workshop on the Logistics of Autonomous Vessels 2019-05-26 - 2019-05-29
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Vitenskapelig foredragFagerholt, Kjetil; Msakni, Mohamed Kais; Meisel, Frank. (2019) Can autonomous ships help short-sea shipping become more cost-efficient?. Operations Research 2019 2019-09-03 - 2019-09-06
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Vitenskapelig foredragMsakni, Mohamed Kais; Fagerholt, Kjetil; Lindstad, Elizabeth; Meisel, Frank. (2019) Liner-Network Shipping Design with Autonomous vessels. EURO 2019 30th EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH) 2019-06-23 - 2019-06-26