Mohamed Kais Msakni
About
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.
Publications
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
Academic article
-
Sønnervik, Helle Hagli;
Msakni, Mohamed Kais;
Schütz, Peter.
(2024)
Decarbonizing the Norwegian fishery fleet – strategic fleet renewal with environmental considerations.
Maritime Transport Research
Academic article
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
Academic article
-
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
Academic article
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
Academic article
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
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
Academic article
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
Academic article
-
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2018)
Short-term planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Academic article
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)
Academic article
-
Al-Haidous, Sara;
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2016)
Optimal planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Academic article
-
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
Academic article
Journal publications
-
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
Academic article
-
Sønnervik, Helle Hagli;
Msakni, Mohamed Kais;
Schütz, Peter.
(2024)
Decarbonizing the Norwegian fishery fleet – strategic fleet renewal with environmental considerations.
Maritime Transport Research
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2018)
Short-term planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Academic article
-
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)
Academic article
-
Al-Haidous, Sara;
Msakni, Mohamed Kais;
Haouari, Mohamed.
(2016)
Optimal planning of liquefied natural gas deliveries.
Transportation Research Part C: Emerging Technologies
Academic article
-
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
Academic article
Knowledge Transfer
2024
-
Academic lectureBarstad, 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
2023
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LectureMsakni, 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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LectureMsakni, 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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LectureMsakni, 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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LectureMsakni, 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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Popular scientific lectureMsakni, 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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Academic lectureMsakni, 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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Academic lectureBergmann, 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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Academic lectureFagerholt, 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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Academic lectureFagerholt, 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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Academic lectureFagerholt, 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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Academic lectureMsakni, 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