Youkabed Zarroug | Optimization Techniques | Innovative Research Award

Innovative Research Award

Youkabed Zarroug
Affiliation Institute of Agronomic Research of Tunisia
Country Tunisia
Scopus ID 57208208489
Documents 24
Citations 204
h-index 8
Subject Area Optimization Techniques
Event Research Data Analysis Awards
ORCID 0009-0000-3797-6822

Youkabed Zarroug of the Institute of Agronomic Research of Tunisia has been recognized within the context of the Innovative Research Award for contributions associated with optimization techniques and related scientific investigations. This article presents a structured academic overview of the research profile, scholarly contributions, publication activity, and research impact associated with the researcher based on publicly available scholarly metrics and professional identifiers.[1]

Abstract

The Innovative Research Award recognizes scholarly activities that demonstrate methodological advancement, scientific rigor, and measurable academic influence. Youkabed Zarroug’s research portfolio reflects sustained engagement with optimization techniques and associated analytical methodologies. Through peer-reviewed publications, collaborative investigations, and measurable citation performance, the researcher has contributed to the development and dissemination of scientific knowledge in areas relevant to data-driven decision-making and optimization sciences.[1][2]

Keywords

Optimization Techniques, Research Analytics, Scientific Innovation, Scholarly Impact, Agronomic Research, Data-Driven Methodologies, Research Evaluation

Introduction

Contemporary scientific research increasingly depends upon optimization methodologies capable of improving analytical efficiency, resource utilization, and evidence-based decision processes. Researchers contributing to these domains play a significant role in advancing both theoretical understanding and practical applications. The academic record associated with Youkabed Zarroug demonstrates participation in this evolving research landscape through scholarly publications, interdisciplinary collaboration, and documented research outputs.[1]

Research Profile

Youkabed Zarroug is affiliated with the Institute of Agronomic Research of Tunisia and has established a documented scholarly profile indexed within major academic databases. The researcher’s publication record includes 24 indexed documents, accompanied by 204 citations and an h-index of 8. These indicators provide quantitative evidence of scholarly visibility and engagement within the academic community.[1]

Research Contributions

Research contributions associated with optimization techniques frequently involve the development of analytical frameworks, computational strategies, and decision-support methodologies. The documented publication portfolio indicates engagement with scientific questions requiring quantitative evaluation and evidence-based analysis. Such contributions support the broader objective of improving research efficiency, predictive capability, and methodological robustness across applied scientific domains.[1][3]

Publications

The publication record indexed under Scopus demonstrates a sustained commitment to scholarly communication and research dissemination. Peer-reviewed outputs contribute to the visibility of the researcher’s work and facilitate knowledge transfer within relevant scientific communities. Publication activity remains an important indicator of research productivity and academic engagement.[1]

Research Impact

Research impact may be evaluated through citation performance, publication reach, and scholarly influence. The citation count associated with the researcher’s profile indicates that published work has received measurable recognition from fellow researchers. The h-index further reflects the consistency of citation activity across multiple publications and suggests a sustained level of academic engagement within the relevant field.[1]

Award Suitability

The Innovative Research Award emphasizes originality, scientific merit, research productivity, and measurable scholarly impact. Based on available academic indicators, publication activity, and documented citation performance, Youkabed Zarroug’s profile aligns with several criteria commonly associated with research recognition programs. Contributions connected to optimization techniques and the dissemination of scientific knowledge support the relevance of this recognition within the framework of the Research Data Analysis Awards.[1][4]

Conclusion

The academic profile of Youkabed Zarroug reflects an active contribution to optimization-related research and scholarly communication. Through a combination of indexed publications, citation impact, and institutional affiliation, the researcher demonstrates sustained engagement with scientific inquiry. Recognition through the Innovative Research Award highlights the value of continued contributions to research advancement, methodological development, and knowledge dissemination.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Youkabed Zarroug, Author ID 57208208489. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57208208489
  2. ORCID. (n.d.). Researcher profile: Youkabed Zarroug.
    https://orcid.org/0009-0000-3797-6822
  3. Zarroug, Y., Bachrouch, O., Boulares, M., Sfayhi-Terras, D., Ben Nassib, R., Aouadi, S., Khiari, A., & colleagues. (2026). Physicochemical characterization of Moringa oleifera leaves and seeds for functional biscuits formulation. South African Journal of Botany, 189, 530–538.
    DOI: https://www.researchgate.net/profile/Youkabed-Zarroug
  4. Belloumi, S., Belloumi, S., Wannes, W. A., Neji, R., & colleagues. (2026). Screening of essential oil and seed oil combinations for meat preservation: Applications and assessment of their biological activities. Euro-Mediterranean Journal for Environmental Integration.
    https://link.springer.com/article/10.1007/s41207-025-00968-y

Guram Imnadze | Optimization Techniques | Best Innovation Award

Assoc. Prof. Dr.

Assoc. Prof. Dr. Guram Imnadze | Optimization Techniques | Best Innovation Award

University Hospital Ruppin-Brandenburg, Medical School Brandenburg Theodor Fontane | Germany

Assoc. Prof. Dr. Guram Imnadze is a highly accomplished cardiologist and electrophysiology specialist with extensive international experience in cardiovascular medicine. Currently serving as Senior Consultant and Head of the Electrophysiology Laboratory at the Heart and Diabetes Center NRW, Ruhr University Bochum, he specializes in interventional cardiology, cardiac resynchronization therapy, and advanced electrophysiological procedures. He completed his medical education in Tbilisi and further advanced his career in leading institutions across Germany and Russia. With multiple certifications, a habilitation, and significant research contributions, Dr. Imnadze is recognized for his expertise in personalized cardiac interventions and innovative clinical practices.

Citation Metrics (Scopus)

600
400
200
100
0

Citations
511

Documents
85

h-index
14

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Kuo-Ching Ying | Metaheuristics | Best Researcher Award

Prof Dr. Kuo-Ching Ying | Metaheuristics | Best Researcher Award

National Taipei University of Technology, Taiwan

Author Profiles

orcid

Scopus

👨‍🏫 Current Position and Leadership Roles

Prof. Dr. Kuo-Ching Ying is currently a Distinguished Professor in the Department of Industrial Engineering and Management at National Taipei University of Technology, Taiwan. In addition to his role as a faculty member, he also serves as the Associate Dean of the College of Management and Vice Director of the EMBA Program at the university. His leadership positions reflect his deep commitment to advancing education and research in the fields of industrial engineering and management.

🎓 Early Academic Pursuits and Education

Prof. Ying’s academic journey began with a Master’s degree in Industrial Management from the National Taiwan University of Science and Technology in 1992. His academic pursuits culminated in a Ph.D. in Industrial Management from the same institution in 2003. His educational background provided the foundation for his current expertise in operations scheduling, combinatorial optimization, and various aspects of industrial management.

💼 Professional Endeavors and Editorial Contributions

Prof. Ying has significantly contributed to the academic community as an editor for several prestigious journals. He has been serving as an editor for Advances in Industrial Engineering and Management since December 2012 and has held editorial roles for other journals like IEEE Access (since 2018), Applied Sciences (since 2021), and American Journal of Operations Management and Information Systems (since 2020). His editorial work spans across more than 10 journals, underscoring his significant involvement in shaping the direction of research in industrial management and optimization fields.

🔬 Contributions and Research Focus

Prof. Ying’s primary research interests revolve around operations scheduling, combinatorial optimization, and industrial management. He has authored more than 130 academic papers in top-tier international journals such as IEEE Access, Computers and Operations Research, Applied Soft Computing, and European Journal of Operational Research. His research delves into innovative approaches to solving complex problems in industrial settings, particularly in operations management, manufacturing, and logistics.

🌍 Impact and Influence in Academia

Through his extensive research contributions and editorial roles, Prof. Ying has become a recognized figure in the fields of industrial engineering and management. His work has been cited numerous times in academic research, demonstrating his influence in advancing knowledge in operations scheduling and combinatorial optimization. His efforts have led to advancements in how industries manage production, operations, and logistics.

📚 Academic Citations and Recognition

Prof. Ying’s scholarly output has earned him wide recognition within the academic community. His work has been cited extensively across numerous journals, reflecting the importance and impact of his research. The high citation rate of his publications is a testament to the relevance and applicability of his work in both academic and industrial contexts. He is widely regarded as a thought leader in industrial management research.

💡 Technical Skills and Expertise

Prof. Ying possesses strong technical skills in areas such as operations research, optimization algorithms, and industrial management. He is particularly skilled in developing models and techniques for solving complex optimization problems related to manufacturing, logistics, and scheduling. His expertise in artificial intelligence and computational techniques further enhances his ability to contribute to cutting-edge research in these fields.

👩‍🏫 Teaching Experience and Mentorship

Prof. Ying has been a mentor to numerous students in the Department of Industrial Engineering and Management at National Taipei University of Technology. As an educator, he has significantly shaped the careers of many professionals in industrial management. His teaching philosophy emphasizes the application of theory to real-world problems, preparing students to tackle challenges in operations management and optimization. His experience in teaching and mentoring plays a key role in nurturing the next generation of scholars and industry leaders.

🌱 Legacy and Future Contributions

Prof. Ying’s legacy is already well established through his substantial academic achievements, his leadership in educational programs, and his continued contributions to the field. Looking ahead, he is likely to continue shaping the future of industrial engineering research, particularly in optimizing industrial processes and the integration of new technologies. His future contributions will likely focus on further advancing operations research, combinatorial optimization, and artificial intelligence applications in industrial contexts.

📖 Top Noted Publications 

Reinforcement Learning-based Alpha-list Iterated Greedy for Production Scheduling
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Shih-Han Cheng
    Journal: Intelligent Systems with Applications
    Year: 2024
Minimizing makespan in two-stage assembly additive manufacturing: A reinforcement learning iterated greedy algorithm
  • Authors: Kuo-Ching Ying, Shih-Wei Lin
    Journal: Applied Soft Computing
    Year: 2023
Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups
  • Authors: Pourya Pourhejazy, Chen-Yang Cheng, Kuo-Ching Ying, Nguyen Hoai Nam
    Journal: Annals of Operations Research
    Year: 2023
Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times
  • Authors: Kuo-Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, Ren-Siou Syu
    Journal: International Journal of Production Research
    Year: 2023
Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems
  • Authors: Kuo-Ching Ying, Fruggiero, F., Pourhejazy, P., Lee, B.-Y.
    Journal: Expert Systems with Applications
    Year: 2022