Soughah AlSamahi | Civil Infrastructure | Civil Engineering Award

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Civil Engineering Award

Soughah AlSamahi
Affiliation Ministry of Energy & Infrastructure
Country United Arab Emirates
Scopus ID 58398057200
Documents 2
Citations 16
h-index 1
Subject Area Civil Infrastructure
Event Superior Engineering Research Awards
Soughah AlSamahi
Ministry of Energy & Infrastructure

Soughah AlSamahi, whose research profile is associated with the Ministry of Energy & Infrastructure in the United Arab Emirates. The page summarizes publicly available scholarly indicators, research interests, publication activity, and the relevance of the research portfolio within the context of the Civil Engineering Award and the Superior Engineering Research Awards.[1]

Abstract

This article summarizes publicly available scholarly information relating to the research profile of Soughah AlSamahi. The overview emphasizes civil infrastructure research, scholarly publications, citation indicators, and professional recognition while maintaining a neutral encyclopedic style.[2]

Keywords

  • Civil Engineering
  • Infrastructure
  • Engineering Research
  • Transportation
  • Academic Recognition

Introduction

Civil infrastructure research supports evidence-based planning, sustainable engineering practices, and resilient public assets. Academic evaluation commonly considers publication quality, citation performance, collaboration, and measurable research contributions.[3]

Research Profile

According to the supplied profile information, Soughah AlSamahi is affiliated with the Ministry of Energy & Infrastructure, United Arab Emirates. The available metrics indicate two indexed documents, sixteen citations, and an h-index of one within the stated subject area of Civil Infrastructure.[1]

Research Contributions

  • Participation in civil infrastructure research.
  • Contribution to engineering knowledge through indexed publications.
  • Support for evidence-based infrastructure development.
  • Professional engagement within engineering research activities.

Publications

The supplied profile reports two indexed scholarly documents. Publication details should be verified through the Scopus author profile and associated DOI records where available.[4]

Research Impact

Citation-based indicators provide one perspective on scholarly influence. Additional qualitative assessment typically includes originality, methodological quality, practical application, interdisciplinary collaboration, and contribution to engineering practice.

Award Suitability

Eligibility for engineering recognition is ordinarily determined through independent review using transparent evaluation criteria established by the awarding organization. Scholarly metrics may complement, but do not solely determine, award decisions.

Conclusion

The available information outlines a concise academic profile associated with civil infrastructure research. Continued publication activity and scholarly engagement contribute to the ongoing assessment of research performance within the engineering community.[2]

External Links

References

  1. Scopus Author Profile
    https://www.scopus.com/pages/authors/58398057200
  2. Engineering research methodology reference.
    https://doi.org/10.1016/j.trpro.2020.01.001
  3. Superior Engineering Research Awards.
    https://superiorengineering.org/
  4. Flash Flood Risk Assessment and Mitigation in Digital-Era Governance Using Unmanned Aerial Vehicle and GIS Spatial Analyses Case Study: Small River Basins
    https://www.mdpi.com/2072-4292/14/10/2481

 

Assist. Prof. Dr. Yan Zeng | AI in Engineering | Best Researcher Award

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Assist. Prof. Dr. Yan Zeng | AI in Engineering | Best Researcher Award

Assist. Prof. Dr. Yan Zeng | Hangzhou Dianzi University | China

Assist. Prof. Dr. Yan Zeng, an accomplished associate professor at the School of Computer Science, Hangzhou Dianzi University, has made significant contributions in the fields of distributed and parallel computing, distributed machine learning, and big data analytics. After earning her PhD from the Institute of Software, Chinese Academy of Sciences in 2016, her research has focused on advancing large-scale computation and data-intensive systems.  The Key Research and Development Program of Zhejiang Province, the Yangtze River Delta Project, and the Natural Science Foundation of Zhejiang Province. Her academic influence is reflected in 173 citations by 161 documents, 42 published papers, and an h-index of 9, demonstrating strong research impact and visibility. With 10 peer-reviewed publications in SCI and Scopus-indexed journals, Yan Zeng’s scholarly output showcases innovation in computational frameworks and distributed systems. Furthermore, she has been actively involved in practical technological advancements, holding 34 patents that bridge theoretical insights with industrial applications. Through her extensive research, publication record, and innovation-driven approach, Yan Zeng continues to play a pivotal role in shaping advancements in computer science and data engineering.

Profile: Scopus

Featured Publications

Zeng, Y., et al. (2025). FedAMM: Federated learning for brain tumor segmentation with arbitrary missing modalities [Conference paper]. Proceedings of the International Conference on Artificial Intelligence and Machine Learning.

Zeng, Y., et al. (2025). TransAware: An automatic parallel method for deep learning model training with global model structure awareness [Conference paper]. Proceedings of the International Conference on Advanced Computing and Applications.

Zeng, Y., et al. (2025). A correlation analysis-based federated learning framework for defending against collusion-free-riding attacks. Cybersecurity, 2025(1), 1–12.

Zeng, Y., et al. (2025). FedAEF: Optimizing federated learning with mining and enhancing local data features. Cluster Computing, 2025(1), 1–15.

Mr. Chaohui Zhao | Structural Engineering | Best Researcher Award

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Mr. Chaohui Zhao | Structural Engineering | Best Researcher Award

Mr. Chaohui Zhao | shanghai dianji university | China

Mr. Chaohui Zhao is a distinguished researcher specializing in power electronics, motion control, and the design and control of special electric machines. His work encompasses advanced motion control systems, high-performance power conversion technologies, and energy-efficient electric machine design. He has contributed to multiple research projects focused on integrating power electronics with motion control to improve system performance, reliability, and efficiency. Professor Zhao has authored several technical publications and holds patents such as CN119834502A, demonstrating his focus on translating research into practical engineering solutions. His research has impacted the development of intelligent drive technologies, precision control of electromechanical devices, and optimization of industrial electrification systems. By bridging theoretical innovation with applied engineering, his work advances knowledge in power electronics and specialized electric machines while addressing practical challenges in automation and electrical system design.

Profile: Orcid

Featured Publications

Gao, H., Zhao, C., & Cao, Z. (2025). Research on motor torque performance of AHRPM motor based on MFS effect. IEEJ Transactions on Electrical and Electronic Engineering. Advance online publication.

Tan, F., Ma, Y., & Zhao, C. (2025). Research on speed control of PMSM based on super-twisting sliding mode corrected differential linear active disturbance rejection. Energies, 18(17455).

Cao, Z., Zhao, C., & Gao, H. (2025). Structural optimization and characteristic analysis of TMPS-HEG based on particle swarm optimization algorithm. Journal of Electrical Engineering & Technology. Advance online publication.

Xie, S., Zhang, W., Feng, X., Zhang, W., Gu, P., Lei, Z., & Zhao, C. (2025). Torque ripple suppression of open-winding permanent magnet synchronous motor with common DC bus based on field circuit coupling method. International Journal of Circuit Theory and Applications. Advance online publication.

Ma, Y., Zhao, C., Gu, P., Lei, Z., & Zhang, W. (2025). Speed control of PMSM based on series lead correction doubly fed differential LADRC. International Journal of Circuit Theory and Applications. Advance online publication.

Cao, Z., Zhao, C., & Gao, H. (2025). Research on the four-quadrant operating mechanism of a hybrid excitation generator with magnetic field modulation and the power distribution ratio between permanent magnet and magnetic field modulation. International Journal of Circuit Theory and Applications. Advance online publication.

Prof. Mohamed Gomaa | Advanced Composites | Best Researcher Award

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Prof. Mohamed Gomaa | Advanced Composites | Best Researcher Award

Prof. Mohamed Gomaa | National Research Centre | Egypt

Prof. Dr. Mohamed Gomaa is a leading geophysicist and head of the Geophysical Exploration Research Group at the Central Laboratories Network and Center of Excellence, National Research Centre (NRC), Egypt, with a distinguished career dedicated to advancing the field of geophysics through innovative research, teaching, and scientific leadership. His primary research focuses on modeling and simulation of the electrical properties of rocks and minerals, with a particular emphasis on understanding the physical properties of grain textures, mixture laws, composites, and complex geological mixtures, contributing significantly to both theoretical knowledge and practical applications in applied geophysics and geology. Over the course of his career, he has authored 54 documents with 880 citations, achieving an h-index of 17, reflecting his impactful contributions to the scientific community, and has presented over 20 abstracts at international conferences and workshops on a wide range of geophysical and geological topics. He has been recognized with multiple awards for scientific excellence, research impact, and contributions to climate-related initiatives, highlighting his commitment to advancing knowledge and addressing global scientific challenges. In addition to his research, he holds an Egyptian patent and actively teaches courses in geophysics and geology at universities in Egypt, mentoring the next generation of scientists and professionals. Beyond his academic and research roles, Prof. Gomaa has made substantial contributions to the scientific community, serving as editor, associate editor, and reviewer for hundreds of international journals, contributing to the establishment of professional societies and research units, and participating in the organization of numerous international conferences. He is also engaged in national committees focused on Earth standards and natural resource conservation, exemplifying his dedication to the integration of scientific research with societal and environmental applications, and his ongoing efforts continue to shape and advance the field of geophysics both nationally and internationally.

Profiles: Scopus | Orcid

Featured Publications

Gomaa, M. M. (2025). Electrical properties as a tool for oil and gas exploration: A case study of Wadi Saal, East Central Sinai, Egypt. Journal of Geophysics and Engineering.

Gomaa, M. M. (2024). Grain size effect on electrical properties of dry friable sand. The European Physical Journal Special Topics.

Ramah, M., Heggy, E., Nasr, A., Toni, M., Gomaa, M. M., Hanert, E., & Kotb, A. (2024). Nubian aquifer linkage to the High Aswan Dam Reservoir: Initial assessments of processes and challenges. Journal of Hydrology.

Gomaa, M. M., & Abd El Aziz, E. A. (2024). Depositional environment, petrophysical evaluation and electrical properties of Zeit Formation, Northwestern Shore of Gulf of Suez, Egypt. Journal of Earth Science.

Gomaa, M. M. (2023). Speculation of salinity and heterogeneity for some dry and saturated sandstone rocks. Materials Chemistry and Physics.

Gomaa, M. M., Elshenawy, A. M., Basheer, A. A., Moawad, M., & Kotb, A. (2023). Synthetic mixture of sand and shale: How conductor (shale) and saturation influence electrical characteristics. Applied Water Science.

Gomaa, M. M. (2023). Electrical properties of hematite and pure sand synthetic homogeneous mixture. Applied Water Science.

 

 

Assoc. Prof. Dr Orchidea Maria Lecian | Aerospace Engineering | Best Researcher Award

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Assoc. Prof. Dr. Orchidea Maria Lecian | Aerospace Engineering | Best Researcher Award

Assoc. Prof. Dr. Orchidea Maria Lecian | Sapienza University of Rome | Italy

Assoc. Prof. Dr. Orchidea Maria Lecian is a highly accomplished researcher with expertise spanning multiple domains of physics, mathematics, and applied sciences. Her professional work focuses on General Relativity, Relativistic Astrophysics, Cosmology, and Early Universe studies, with strong contributions to Galactic and Extragalactic Physics, Black Hole dynamics, Dark Matter research, and Modified Theories of Gravity. She combines theoretical and mathematical rigor in areas such as Quantum Systems, Quantum Field Theory, Quantum Gravity, and Quantum Cosmology, supported by Differential Geometry, Group Theory, Operator Algebras, Algebraic Geometry, and advanced methods in Calculus, Analysis, and Applied Mathematics. Lecian’s work also extends to experimental and applied research, including satellite instrumentation, planetology, and the development of quantum and optical devices, emphasizing comparative and applied instrumentation for astrophysical and cosmological investigations. With 237 citations across 204 documents and an h-index of 7Her interdisciplinary approach bridges fundamental physics, applied physics, engineering, computer science, and applied chemistry, integrating computational modeling, field theory, statistics, and probability to solve complex scientific problems. With a strong focus on both theoretical frameworks and practical applications, her professional contributions advance understanding in mathematical physics, astrophysics, and instrumentation, reflecting a comprehensive approach to modern scientific research across multiple interconnected domains.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Lecian, O. M. (2025). The Bogomolny–Carioli twisted transfer operators and the Bogomolny–Gauss mapping class group. International Journal of Topology.

  • Lecian, O. M. (2024). Sheaf cohomology of rectangular-matrix chains to develop deep-machine-learning multiple sequencing. International Journal of Topology.

  • Lecian, O. M. (2024). Generalized Schwarzschild spacetimes with a linear term and a cosmological constant. Universe.

  • Lecian, O. M. (2023). The generalised Reissner–Nordstrom spacetimes, the cosmological constant and the linear term. Computation.

  • Lecian, O. M., & Tirozzi, B. (2023). Retrieval of phonemes and Kohonen algorithm [Preprint].

  • Lecian, O. M. (2023). The desymmetrized PSL(2, Z) group; Its ‘square-box’ one-cusp congruence subgroups. Conference Paper.

  • Khlopov, M. Y., & Lecian, O. M. (2023). The formalism of Milky-Way antimatter-domains evolution. Galaxies.

  • Khlopov, M. Y., & Lecian, O. M. (2021). Baryon-antibaryon annihilation in the evolution of antimatter domains in baryon-asymmetric universe. Universe.

 

 

Dr. Zahra Beheshti | AI in Engineering | Best Researcher Award

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Dr. Zahra Beheshti | AI in Engineering | Best Researcher Award

Dr. Zahra Beheshti | Islamic Azad University | Iran

Dr. Zahra Beheshti is an Assistant Professor at the Islamic Azad University, Najafabad Branch, with a distinguished background in computer engineering and artificial intelligence. She holds a B.Sc. and M.Sc. in Computer Engineering (Software) and a Ph.D. in Computer Science with a focus on Artificial Intelligence, followed by postdoctoral research in Soft Computing. Dr. Beheshti has made significant contributions to the field, including the compilation of the book Centripetal Accelerated Particle Swarm Optimization and Applications. Her academic excellence has been recognized through scholarships awarded to top international Ph.D. students. She is actively involved in knowledge dissemination, having conducted multiple workshops on advanced topics such as Machine Learning, Fuzzy Expert Systems and their application in algorithm parameter determination, and Introduction to Fuzzy Logic along with the Design and Implementation of Fuzzy Expert Systems. Her research output includes 34 documents, cited 1,865 times by 1,698 publications, with an h-index of 20, reflecting the significant impact of her work. Through her teaching, research, and publications, Dr. Beheshti demonstrates a strong commitment to advancing computational intelligence, fostering innovation, and mentoring the next generation of researchers in AI and soft computing, combining both academic rigor and practical application.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Z Beheshti, SMH Shamsuddin, A review of population-based meta-heuristic algorithms, Int. J. Adv. Soft Comput. Appl 5 (1), 1-35, 744 citations, 2013

  • H Abedinpourshotorban, SM Shamsuddin, Z Beheshti, DNA Jawawi, Electromagnetic field optimization: a physics-inspired metaheuristic optimization algorithm, Swarm and Evolutionary Computation 26, 8-22, 414 citations, 2016

  • M Jafarzadegan, F Safi-esfahani, Z Beheshti, Combining Hierarchical Clustering approaches using the PCA Method, Expert Systems with Applications 137, 1-10, 156 citations, 2019

  • Z Beheshti, SM Shamsuddin, S Hasan, Memetic binary particle swarm optimization for discrete optimization problems, Information Sciences 299, 58-84, 129 citations, 2015

  • Z Beheshti, SMH Shamsuddin, CAPSO: centripetal accelerated particle swarm optimization, Information Sciences 258, 54-79, 120 citations, 2014

  • M Banaie-Dezfouli, MH Nadimi-Shahraki, Z Beheshti, R-GWO: Representative-based grey wolf optimizer for solving engineering problems, Applied Soft Computing 106, 1-28, 108 citations, 2021

 

 

Dr. Priya Tyagi | Sustainable Engineering | Best Researcher Award

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Dr. Priya Tyagi | Sustainable Engineering | Best Researcher Award

Dr. Priya Tyagi | Sharda University | India

Dr. Priya Tyagi is a dedicated sustainable architect with extensive academic and professional expertise in sustainable design and rural housing development. She earned her Doctor of Philosophy from Malaviya National Institute of Technology, Jaipur, focusing on a decision-making framework for design quality assessment of rural houses in India, following her Master of Architecture in Sustainable Architecture from Deenbandhu Chhotu Ram University of Science and Technology, Murthal, and Bachelor of Architecture from Shri Ram Group of Colleges, Lucknow. She has actively contributed to research and practice in architecture, including a joint research project on municipal waste management at Massachusetts Institute of Technology, Boston, and holds professional credentials as a Green Rating for Integrated Habitat Assessment certified professional. Currently, she serves as Assistant Professor at Sharda School of Design, Architecture and Planning, Greater Noida, having previously held academic positions at Sanskar College of Architecture and Planning and practical experience with Shelter Architects and M/s Raj Architects and Builders. Dr. Tyagi has been recognized for her expertise through appointments as a reviewer for Scopus-indexed journals, including the Journal of Infrastructure, Policy and Development, and the Journal of Civil, Construction and Environmental Engineering. Her research output includes 9 documents with 6 citations and an h-index of 2, reflecting her growing impact in sustainable architecture, design quality assessment, and environmentally responsible building practices in India.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Tyagi, P., Shrivastava, B., & Kumar, N. (2024). Investigating rural housing quality indicators in the Indian scenario for inclusive imageability. Environment, Development and Sustainability, 26(10), 25609-25643.

Tyagi, P., Shrivastava, B., & Kumar, N. (2023). Towards creating inclusive villages: The types of rural settlements in India. ISVS e-Journal, 10(2), 91-106.

Bhyan, P., Tyagi, P., Doddamani, S., Kumar, N., & Shrivastava, B. (2023). Life cycle assessment of lightweight and sustainable materials. Lightweight and Sustainable Composite Materials, 117-142.

Tyagi, P., Shrivastava, B., & Kumar, N. (2024). A comprehensive investigation of rural and low-rise housing design quality: A thematic and bibliometric analysis. Journal of Housing and the Built Environment, 39(3), 1323-1353.

Tyagi, P., Shrivastava, B., & Kumar, N. (2025). Optimizing rural housing design quality: Indicators and parameters for comprehensive assessment. Environment, Development and Sustainability, 1-43.

Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

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Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

Mr. Mohammad Alibabaei Shahraki | Technical and Vocational University | Iran

Mr. Mohammad Alibabaei Shahraki is a distinguished lecturer and researcher at the Technical and Vocational University in Tehran, Iran, specializing in civil engineering with a focus on earthquake engineering, structural dynamics, and structural design. Recognized for his exceptional academic achievements, he was the top student for 12 consecutive semesters and secured a single-digit rank in the national university entrance examination. His research excellence has been acknowledged with the title of Best Researcher in Chaharmahal and Bakhtiari Province, alongside the invention of two notable research innovations. Prof. Shahraki has made significant contributions to the field of structural control and seismic performance enhancement, including pioneering studies on multiple tuned mass dampers, elastoplastic-tuned mass damper-inerters, and the effectiveness of viscous dampers in steel frame structures, with his work published in prominent journals such as Soil Dynamics and Earthquake Engineering and Structures, and presented at international conferences on civil engineering, architecture, and urban planning. With a perfect GPA of 4.00 from Shahrekord University for his Master’s in Civil Engineering, he combines academic rigor with practical expertise, delivering high-quality teaching and research. His scholarly impact includes 60 citations across 44 documents, 4 published works, and an h-index of 2, reflecting his growing influence in earthquake-resistant structural design. Fluent in English, Prof. Shahraki actively engages with global research communities and maintains an ORCID profile to showcase his contributions.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Damage-based design of multiple tuned mass dampers to improve the seismic performance of steel frame structures. Soil Dynamics and Earthquake Engineering, 173, 108062.

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Assessing the seismic behavior of structures controlled with a novel elastoplastic-tuned mass damper inerter considering the effects of soil-structure interactions. Structures, 57, 105265.

Shahraki, M. A., & Chaleshtori, H. S. A. (2025). Comparative analysis of novel non-linear tuned mass damper inerter and traditional tuned mass dampers in steel shear frame structures. International Journal of Structural Stability and Dynamics.

Shahraki, M. A. (2025). Response mitigations of adjacent structure with MPTMD under real and stochastic excitations. Discover Geoscience, 3(47), 1-20.

Alibabaei Shahraki, M. (2025). Cloud drift optimization algorithm as a nature-inspired metaheuristic. Discover Computing, 28(1), 1-28.

 

Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

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Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

Mr. Ahmad Usman | Cranfield University | United Kingdom

Mr. Ahmad Usman is a dedicated PhD student at Cranfield University specializing in coating and corrosion science, with a strong focus on developing advanced materials to protect critical components in power plants under demanding conditions. His research encompasses the fireside-corrosion behavior of thermally sprayed and Ni-based coatings in challenging environments, including chlorine-rich combustion atmospheres, and investigates oxidation, erosion, and wear mechanisms at the microscopic level. Mr. Usman has contributed to advancing knowledge on thermal spray coatings through both academic and industry projects, including his role as Group Innovation Engineer at Welding Alloys Group, UK, and collaborations with the National High Temperature Surface Engineering Centre. He has co-authored book chapters on self-healing elastomers and polymeric paints and coatings, highlighting his expertise in functional polymers. His research interests include real-time monitoring of coating degradation, modeling corrosion kinetics in waste-to-energy (WtE) environments, and optimizing thermal spray coatings to resist high-temperature corrosion, erosion, and wear damage. With a growing citation record and an h-index of 2, Mr. Usman is an active member of the Institute of Corrosion and the Pakistan Engineering Council, demonstrating his commitment to both academic excellence and industrial innovation, while consistently exploring innovative solutions to extend the lifespan and reliability of critical energy infrastructure.

Profile: Orcid

Featured Publications

Usman, A., Syed, A., Isern Arrom, L., Nicholls, J., & Cordero, M. (2024, September 5). Degradation of novel coating systems for heat exchanger materials for WtE power plant applications [Conference poster]. EUROCORR 2024, Cranfield University.

Rehan, Z. A., & Usman, A. (2023). Polymeric paints and coatings. In Advanced Functional Polymers. Springer.

Zubair, Z., Usman, A., & Hafeez, A. (2023). Self-healing elastomers. In Advanced Functional Polymers. Springer.

Usman, A. (2021, December 8). Fabrication of low emissivity paint thermal/NIR radiation insulation for domestic applications [Conference poster]. 1st International Conference of Polymers and Composites (ICPC-2021).

Usman, A., Isern Arrom, L., Nicholls, J., Cordero, M., & Syed, A. U. (2025). Fireside corrosion behavior of thermally sprayed coatings for waste-to-energy power plant applications. Journal of Materials Engineering and Performance.

Prof. Ouajdi Korbaa | AI in Engineering | Innovative Research Award

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Prof. Ouajdi Korbaa | AI in Engineering | Innovative Research Award

Prof. Ouajdi Korbaa | University of Sousse | Tunisia

Prof. Ouajdi Korbaa is a distinguished researcher and professor at the Institute of Computer Science and Communication Techniques, University of Sousse, Tunisia, and a member of the Modeling of Automated Reasoning Systems Laboratory. His research focuses on modeling, discrete optimization, scheduling, and artificial intelligence, contributing significantly to the development of advanced methodologies in these areas. He has supervised numerous Master’s and PhD students and actively participates in academic juries, reflecting his commitment to mentoring the next generation of researchers. Prof. Korbaa has authored 157 documents cited by 998 sources, achieving an h-index of 18, demonstrating his strong impact and influence in the field. His work integrates theoretical foundations with practical applications, advancing computational techniques for problem-solving and decision-making. Recognized for his expertise in optimization and AI, he has made substantial contributions to both the academic community and the broader field of computer science, fostering innovation in modeling and automated reasoning systems.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Nssibi, M., Manita, G., & Korbaa, O. (2023). Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey. Computer Science Review, 49, 100559.

  • Jemili, F., Meddeb, R., & Korbaa, O. (2024). Intrusion detection based on ensemble learning for big data classification. Cluster Computing, 27(3), 3771–3798.

  • Benzarti, S., Triki, B., & Korbaa, O. (2017). A survey on attacks in Internet of Things based networks. In Proceedings of the 2017 International Conference on Engineering & MIS (ICEMIS) (pp. 1–7).

  • Meddeb, R., Jemili, F., Triki, B., & Korbaa, O. (2023). A deep learning-based intrusion detection approach for mobile Ad-hoc network. Soft Computing, 27(14), 9425–9439.

  • Abid, A., Jemili, F., & Korbaa, O. (2024). Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques. Cluster Computing, 27(2), 2217–2238.

  • Korbaa, O., Camus, H., & Gentina, J. C. (1997). FMS cyclic scheduling with overlapping production cycles. In Proceedings of the 18th International Conference on Application and Theory of Automation in Technology (pp. 1–10).

  • Lee, J., & Korbaa, O. (2004). Modeling and scheduling of ratio-driven FMS using unfolding time Petri nets. Computers & Industrial Engineering, 46(4), 639–653.

  • Meddeb, R., Triki, B., Jemili, F., & Korbaa, O. (2017). A survey of attacks in mobile ad hoc networks. In Proceedings of the 2017 International Conference on Engineering & MIS (ICEMIS) (pp. 1–7).