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

Hanh Nguyen | Optimization Techniques | Women Researcher Award

Dr. Hanh Nguyen | Optimization Techniques | Women Researcher Award

Doctorate at Phenikaa University, Vietnam

👨‍🎓 Profiles

🎓Academic Background

Dr. Hanh Nguyen Thi is a prominent figure in Computer Science, in Hanoi, Vietnam. She holds a PhD in Computer Science from the School of Information and Communication Technology at Hanoi University of Science and Technology (2016–2019). Her research focused on “Coverage and Connectivity Optimization in Wireless Sensor Networks,” under the guidance of Associate Professor Huynh Thi Thanh Binh. She earned her Master’s in Information Systems from the Military Technical Institute in Hanoi (2008–2010), with a thesis on a nearly linear algorithm for shortest path finding. Her journey began with a Bachelor’s in Software Engineering from Phuong Dong University, where she graduated with distinction and was ranked first in her department (2001–2006).

💼 Professional Experience

Dr. Hanh Nguyen This has been a dedicated Lecturer at Phuong Dong University since 2006 and currently serves as the Head of the Multimedia Communication Department. She has made significant contributions through her roles as an Exchange PhD Student at KLab, National Institute of Informatics in Tokyo, Japan (2017), and at the Wireless Mobile Internet and Service Lab, Korea Advanced Institute of Science and Technology (KAIST), Korea (2019). Her leadership extends to managing the establishment of the Multimedia Major and Digital Marketing Specialization at her university. Additionally, she completed a postdoctoral fellowship at the Vietnam National Foundation for Science and Technology Development (NAFOSTED) from 2020 to 2021.

🏅 Honors and Awards

Dr. Thi’s excellence has been recognized through numerous awards. In 2021, she supervised students who reached the final round of the Eure’ka Scientific Research Student Award. Her students also won 4th place at the National Science Research Conference for Students in 2020, an achievement she proudly guided. In 2017, her project was among the Top 10 Shortlisted at the AIYEHUM by IEEE Region 10 Humanitarian Activities Committee. Her early recognition includes being the National Female IT Student Representative in 2004.

🛠️ Skills and Expertise

Dr. Thi is proficient in programming languages such as C, C++, and Java, and has strong skills in database management with mySQL. She is adept in Systems Analysis and Design using UML and has extensive knowledge in Software Engineering, including SRS and UI/UX. Her communication skills are complemented by her ability to work effectively in teams and solve complex problems, honed through her research and leadership roles.

🔬 Research Interests

Her research interests include evolutionary techniques, wireless sensor networks, optimization algorithms, and software engineering. Dr. Thi’s work continues to influence and advance these areas, contributing to both academic knowledge and practical applications.

📖 Publications
Striking the perfect balance: Multi-objective optimization for minimizing deployment cost and maximizing coverage with Harmony Search
    • Authors: Vu, Q.T., Nguyen, P.T., Nguyen, T.H., Trinh, V.C., Gidlund, M.
    • Journal: Journal of Network and Computer Applications
    • Year: 2024
Effect of Pretreatment Methods on Juice Extraction Yield and Nutritional Composition of Cashew Apple (Anacardium Occidentale L.) Harvested from Binh Phuoc (Vietnam)
    • Authors: Hanh, N.T., Trang, N.T., Anh, N.T.M., Thuy, N.T., Long, N.V.
    • Journal: Current Research in Nutrition and Food Science
    • Year: 2024
A heuristic node placement strategy for extending network lifetime and ensuring target coverage in mobile wireless sensor networks
    • Authors: Binh, H.T.T., Hanh, N.T., Tan, N.P., Minh, N.H.N., Phap, H.C.
    • Journal: Evolutionary Intelligence
    • Year: 2024
Uav Path Planning For Backscatter-and Cache-aided Wireless Power System Under Imperfect Csi
    • Authors: Banh, T.Q.M., Trinh, V.C., Nguyen, T.H., Huynh, T.T.B.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2023
Optimizing wireless sensor network lifetime through K-coverage maximization and memetic search
    • Authors: Hanh, N.T., Binh, H.T.T., Son, N.V., Trang, N.T., Lan, P.N.
    • Journal: Sustainable Computing: Informatics and Systems
    • Year: 2023