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

Longyue Li | Optimization Techniques | Best Researcher Award

Prof Dr. Longyue Li | Optimization Techniques | Best Researcher Award

Prof Dr. Longyue Li at Air Force Engineering University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Longyue Li is an Associate Professor of Operations Research at Air Force Engineering University, recognized for his contributions to decision theory, intelligent algorithm design, and military logistics.

📚 Academic Background

Dr. Longyue Li serves as an Associate Professor at the Air Force Engineering University. He holds a Ph.D. in Operations Research and has an impressive academic record with over 40 published papers, 12 patents, and four academic monographs.

🎓 Education

Dr. Li earned his Ph.D. in Operations Research and completed postdoctoral research funded by the China Postdoctoral Science Foundation, further enhancing his expertise in the field.

💼 Professional Experience

With over 8 years as an Associate Professor at Air Force Engineering University, Dr. Li has significantly contributed to the field. He is also an Editorial Board Member for the Journal of Ordnance and Equipment Engineering. His professional collaborations include projects with XiDian University and Northwestern Polytechnical University.

🔍 Research Interests

Dr. Li’s research spans several key areas: Decision Theory and Methods, Intelligent Algorithm Design, Real-time Decision Support Systems, Complex Network Analysis, and Military Logistics and Operations Research.

🏆 Achievements

Dr. Li has led national projects funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His work has resulted in over 40 papers in prestigious journals, 12 patents, and four academic monographs. Notably, his research has been instrumental in logistics planning and continues through ongoing university collaborations.

📖 Publications

Optimization of Predefined-Time Agent-Scheduling Strategy Based on PPO
    • Authors: Dingding Qi, Yingjun Zhao, Longyue Li, Zhanxiao Jia
    • Journal: Mathematics
    • Year: 2024
A Novel Softplus Linear Unit for Deep Convolutional Neural Networks
    • Authors: Zhao, H.; Liu, F.; Li, L.; Luo, C.
    • Journal: Applied Intelligence
    • Year: 2018
Defense Effectiveness Analysis of Multi-Mode Shooting to Multi-Type Targets
    • Authors: Li, L.; Liu, F.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.
    • Journal: PLoS ONE
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.; Luo, C.
    • Journal: Tongxin Xuebao/Journal on Communications
    • Year: 2017
Differential Game Model and Solving Method for Missile Pursuit-Evasion
    • Authors: Li, L.; Liu, F.; Shi, X.; Wang, J.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2016