Best Academic Researcher Award
Fouad Maliki
ESSA-Tlemcen, Algeria.
Fouad Maliki is a researcher affiliated with ESSA-Tlemcen, Algeria, working in the field of engineering. His research addresses scheduling, facility layout optimization and optimization methods for industrial systems. He is nominated for the Best Academic Researcher Award at the International Academic Achievements & Awards in recognition of his recent publication record [1][2].
Abstract
This article presents the research profile of Fouad Maliki, an engineering researcher at ESSA-Tlemcen, in connection with the Best Academic Researcher Award. His recent work applies exact, heuristic and metaheuristic methods to industrial optimization problems, including multi-row facility layout [1], flow-shop scheduling under transportation constraints and uncertainty [2], and the use of large language models for combinatorial optimization [4].
Keywords
Facility layout optimization, flow-shop scheduling, genetic algorithms, NSGA-II, mixed-integer linear programming, combinatorial optimization, Petri nets, industrial engineering.
Introduction
Optimization of production systems is a central topic in industrial and manufacturing engineering, since decisions on layout, scheduling and monitoring directly affect cost, efficiency and working conditions. Fouad Maliki’s publications address these decisions through mathematical programming and metaheuristic search. His Scopus author record lists 31 indexed documents [5], and his recent outputs include journal articles, a conference paper and collaborative studies with several co-authors.
Research Profile
Maliki is affiliated with ESSA-Tlemcen in Algeria, and his subject area is engineering. His Scopus Author ID is 54380348300. The Scopus profile reports 31 documents, 123 citations and an h-index of 4 [5]. His work is organized around three main themes:
- Facility layout optimization in manufacturing environments
- Production scheduling under constraints and uncertainty
- Optimization methods and discrete event systems modeling
Research Contributions
In facility layout research, Maliki and co-authors proposed a framework combining mixed-integer linear programming with a genetic algorithm for multi-row layouts under spatial and cost constraints [1]. A related study used the NSGA-II algorithm to balance noise exposure and space utilization, introducing a human-centric perspective into layout design.
In scheduling, he co-authored a study of the permutation flow-shop problem under transportation constraints and uncertainty [2]. He has also contributed to work on minimal sensor selection and placement for causal observability in partially observed Petri nets [3], and to a conference paper evaluating large language models on combinatorial optimization problems [4].
Publications
- Megaiz, S. F. Z., Maliki, F., Souier, M., & Dahane, M. (2026). MILP based–genetic algorithm framework for multi-row facility layout optimization under spatial and cost constraints. The International Journal of Advanced Manufacturing Technology.
https://doi.org/10.1007/s00170-026-18326-9 [1]
- Bakdi, K., Ghomri, L., & Maliki, F. (2026). Permutation flow-shop scheduling problem under transportation constraints and uncertainty. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-026-18391-0 [2]
- Mamoun, B., Arichi, F., Maliki, F., Cherki, B., & Djemai, M. (2026). Minimal sensor selection and optimal placement for causal observability in partially observed Petri nets. ISA Transactions. https://doi.org/10.1016/j.isatra.2026.10.026 [3]
Research Impact
The practical relevance of this work lies in its application to manufacturing and industrial systems. Layout optimization supports efficient use of space and improved working conditions, scheduling models support more reliable production planning, and sensor placement methods support monitoring of discrete event systems. Scopus reports 123 citations across 31 documents [5], and several recent publications appear in international journals indexed in major databases.
Award Suitability
Maliki is considered suitable for the Best Academic Researcher Award on the following grounds:
- A sustained publication record of 31 indexed documents [5]
- Recent articles in peer-reviewed international journals [1][3]
- Breadth across layout design, scheduling and optimization methods
- Collaboration with researchers from multiple institutions
Conclusion
Fouad Maliki’s research shows a consistent focus on optimization problems in industrial engineering, supported by a recent and active publication record. His work on facility layout, scheduling and discrete event systems contributes methods relevant to both academic study and manufacturing practice, and his nomination for the Best Academic Researcher Award recognizes this contribution [1][2].
External Links
References
- Megaiz, S. F. Z., Maliki, F., Souier, M., & Dahane, M. (2026). MILP based–genetic algorithm framework for multi-row facility layout optimization under spatial and cost constraints. The International Journal of Advanced Manufacturing Technology.
https://doi.org/10.1007/s00170-026-18326-9
- Bakdi, K., Ghomri, L., & Maliki, F. (2026). Permutation flow-shop scheduling problem under transportation constraints and uncertainty. The International Journal of Advanced Manufacturing Technology.
https://doi.org/10.1007/s00170-026-18391-0
- Mamoun, B., Arichi, F., Maliki, F., Cherki, B., & Djemai, M. (2026). Minimal sensor selection and optimal placement for causal observability in partially observed Petri nets. ISA Transactions.
https://doi.org/10.1016/j.isatra.2026.10.026
- Taleb, R., Brahimi, N., Maliki, F., & Hamdan, S. (2026). Evaluating the potential of LLMs in solving combinatorial optimization problems. Conference paper, HAL: hal-05537656.
https://hal.science/hal-05537656v1/document
- Elsevier. (n.d.). Scopus author details: Fouad Maliki, Author ID 54380348300. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=54380348300