Dr. Paolino Zica | Analytics | Research Excellence Award

Dr. Paolino Zica | Analytics | Research Excellence Award

University of Liverpool | Luxembourg

Dr. Paolino Zica is an experienced data and systems analyst whose work integrates business intelligence, data analytics, and enterprise application architecture to optimize organizational performance. His expertise lies in transforming complex datasets into actionable insights through advanced database systems, reporting tools, and data visualization techniques. He contributes to process optimization, stakeholder-driven system design, and data-driven decision-making across large-scale institutional environments. His technical proficiency spans SQL-based systems, data warehousing, and analytical modeling, supporting efficient digital transformation


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Featured Publications

Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications
– Polymers, 2026

Assoc. Prof. Dr. Abderrahmane Belhaoues | Technology | Research Excellence Award

Assoc. Prof. Dr. Abderrahmane Belhaoues | Technology | Research Excellence Award

Skikda University | Algeria

Dr. Abderrahmane Belhaoues is an active researcher in polymer science, specializing in polymeric materials, polymer blends, elastomers, and the physical chemistry and characterization of polymers. His work focuses on understanding the engineering properties, rheology, and processing behavior of plastics and elastomeric materials, contributing to advancements in soft materials and rubber technology. His research integrates fundamental chemistry with applied material science to support industrial and technological innovations. According to Scopus data, he has 8 indexed documents with 68 citations and an h-index of 6, with additional visibility and citation growth reflected across Google Scholar, indicating consistent scholarly impact.

Citation Metrics (Scopus)

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68

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8

h-index
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          🟦 Citations 🟥 Documents 🟩 h-index


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Featured Publications

Effect of Gamma Radiation on the Chemical Structure and Physical Properties of Poly(butylene adipate-co-terephthalate)
– Polymers, 2026

Integration of Polymer-Based Phase Change Materials Into Building Walls in the Hot Region of Algeria
– SPE Polymers, 2026

Preparation and characterization of a high-density polyethylene/date seed (HDPE/DS) composites: Effect of particle size, content, and chemical treatment of the DS powder filler on composite properties
– Journal of Composite Materials, 2025

Excellent compatibilization effect of (ENR/PP-g-MA) as a dual reactive compatibilizer on the immiscible thermoplastic elastomer based on nitrile rubber and polypropylene blends: Insights from experimental and computational studies
– Materials Today Communications, 2024

Experimental and Theoretical Investigation of the Effect of Physical and Chemical Compatibilization on the Properties of Thermoplastic Elastomers derived from Natural Rubber and Polypropylene Blends
– Materials Today Communications, 2024

Mr. Ahmed Hamet Sidi | Robotics Systems | Research Excellence Award

Mr. Ahmed Hamet Sidi | Robotics Systems | Research Excellence Award

Teacher | University of Djillali Liabes | Niger

Mr. Ahmed Hamet Sidi is an emerging researcher in electromechanics, robotics, and advanced control systems, with a strong focus on dynamic system control, visual servoing, and intelligent automation. His work explores trajectory tracking, optimization techniques, and modern control approaches such as PID, model predictive control, and reinforcement learning for complex electromechanical systems. He has contributed to research on 2-DOF ball-on-plate balancing systems, highlighting precision control and system stability. His publications are indexed in Scopus, with 2 documents and a developing citation profile, alongside growing visibility on Google Scholar with an early-stage h-index. His research demonstrates promising potential in robotics innovation and smart control applications.

Citation Metrics (Scopus)

9

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2

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             🟦 Citations 🟥 Documents 🟩 h-index


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Featured Publications

Enhanced Ball Trajectory Tracking Using Visual Servoing with 2-DOF Ball on Plate Balancing System
– Journal Européen des Systèmes Automatisés, 2024

Mr. Muhammad Umer Farooq | Engineering | Research Excellence Award

Mr. Muhammad Umer Farooq | Engineering | Research Excellence Award

Chungbuk National University | South Korea

Mr. Muhammad UmerApplied Sciences Farooq is a Mechanical Engineer and research-oriented professional specializing in machine design, fracture mechanics, experimental mechanics, and structural analysis, with strong expertise in fatigue behavior, finite element analysis, and automation systems. He has demonstrated practical engineering impact through industrial projects, including high-rise structural systems and innovative mechanical designs, alongside active research in fatigue resistance and material performance. His technical proficiency spans ANSYS, MATLAB, and CAD tools, supporting both analytical and experimental investigations. With 14 citations, 4 documents, and an h-index of 1, his growing research contributions.

 

Citation Metrics (Scopus)

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Featured Publications

Review of cooling techniques for improving solar photovoltaic panel efficiency
– Sustainable Development

Experimental Investigation of Rotating Bending Fatigue Life of Knuckle and Screw Threads in AISI 1045 Steel
– Applied Sciences

Mr. Rakhmon Saparbaev | Deep Learning | Research Excellence Award

Mr. Rakhmon Saparbaev | Deep Learning | Research Excellence Award

Urgench State University | Uzbekistan

Mr. Raxmon Saparbayev Komiljonovich is a telecommunications engineering researcher specializing in information transmission systems, network modeling, and signal processing. His work focuses on modeling virus propagation in telecommunication networks, LTE channel resource optimization, and FIR-based signal analysis using MATLAB. He has contributed to peer-reviewed journals and international conference proceedings, including IEEE and AIP publications, reflecting interdisciplinary expertise in IoT, electromagnetic systems, and network traffic analysis. His research integrates machine learning and simulation approaches to improve network reliability and performance. According to Scopus metrics, he has 3 indexed documents, 2 citations, and an h-index of 1, demonstrating emerging scholarly impact.

Citation Metrics (Scopus)

5

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Featured Publications

Multi-use Models of Channel Resources of LTE Technology
– Conference Paper

Method for the Correction of Spectral Distortions in X-Ray Photon-Counting Detectors
– Research Work

Modeling of Virus Spread Processes in Telecommunication Networks
– Research Contribution

Assoc. Prof. Dr. Husam Shaheen | Power System Automation | Research Excellence Award

Assoc. Prof. Dr. Husam Shaheen | Power System Automation | Research Excellence Award

Ass Foreign Chief Expert | Changsha University | China

Dr. Husam I. Shaheen is an Associate Professor in Electrical Power Engineering specializing in renewable energy systems, power electronics, microgrids, and advanced control strategies, with a strong focus on model predictive control and optimization techniques. His research integrates solar PV, energy storage, and smart grid technologies to enhance system efficiency and stability. He has authored 37 indexed publications with significant academic impact, reflected by 705 Scopus citations across 595 documents (h-index: 14) and 998 Google Scholar citations (h-index: 17; i10-index: 19). His work contributes to advancing intelligent energy systems and sustainable power infrastructure development.

Citation Metrics (Scopus)

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705

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37

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14

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Assist. Prof. Dr. HalitErdem Çolakoğlu | Computer Science | Research Excellence Award

Assist. Prof. Dr. HalitErdem Çolakoğlu | Computer Science | Research Excellence Award

Giresun University | Turkey

Assist. Prof. Dr. Halit Erdem Çolakoğlu is a civil engineering researcher specializing in structural behavior of reinforced concrete systems, with emphasis on high-temperature effects, cyclic loading, seismic performance, and finite element modeling. His work contributes to understanding durability, safety, and performance of structural elements under extreme conditions, including corrosion and material degradation. He has published in recognized engineering journals and conferences, focusing on advanced numerical analysis and experimental validation. According to available metrics, his research impact includes approximately 10 Scopus-indexed citations across 4 documents with an h-index of 2, and 24 Google Scholar citations with an h-index of 4, reflecting growing academic influence and research consistency.

Citation Metrics (Scopus)

10

8

6

4

2

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10

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Featured Publications

Investigation of the Change in Mechanical Properties of Concrete Subjected After High-Temperature Effect to Cyclic Lateral Load – Arabian Journal for Science and Engineering, 2025

The behavior of reinforced concrete frames exposed to high temperature under cyclic load effect
– Structures, 2024

Investigation of cyclic load behavior of reinforced concrete frames exposed to high temperatures using FEM
– Engineering Journal, 2025

Research focus: Reinforced Concrete, Earthquake Engineering, High Temperature Effects, Structural Analysis

Dr. Yulin Jing | AI Security | Research Excellence Award

Dr. Yulin Jing | AI Security | Research Excellence Award

University of Electronic Science and Technology of China | China

Dr. Yulin Jing is an emerging researcher specializing in reinforcement learning and AI security, with a growing academic presence in high-impact journals such as Neural Networks, IEEE Transactions on Network and Service Management, and Mathematics. His work focuses on developing intelligent, secure, and adaptive machine learning systems for complex networked environments. According to Scopus data, he has produced 5 scholarly documents with 24 citations and an h-index of 3, reflecting steady research impact. His Google Scholar profile similarly indicates increasing citation traction, highlighting his contributions to advancing secure and reliable artificial intelligence systems.

Citation Metrics (Scopus)

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24

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Dr. Manman Yuan | Fertilization Management | Research Excellence Award

Dr. Manman Yuan | Fertilization Management | Research Excellence Award

Associate Research Fellow | Anhui Academy of Agricultural Sciences Soil and Fertilizer Research Institute | China

Dr. Manman Yuan is an accomplished ecology researcher and Associate Research Fellow at the Institute of Soil and Fertilizer, Anhui Academy of Agricultural Sciences, China. With extensive experience in soil science, nitrogen metabolism, and sustainable agriculture, she has led and contributed to multiple national and provincial research projects. Her work focuses on improving fertilizer efficiency and reducing environmental impacts in crop production systems. She has published 23 documents with 178 citations and holds an h-index of 9, reflecting strong research impact. Her consistent scientific contributions, innovation in agricultural sustainability, and recognized awards make her highly suitable for the Research Excellence Award.

Citation Metrics (Scopus)

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178

Documents
23

h-index
9

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Assoc. Prof. Dr. Musa Gün | Finance | Machine Learning Research Award

Assoc. Prof. Dr. Musa Gün | Finance | Machine Learning Research Award

Associate Professor | Recep Tayyip Erdoğan University | Turkey

Assoc. Prof. Dr. MusaGün of Recep Tayyip Erdoğan University, Turkey, is an active researcher in applying machine learning techniques to finance, demonstrating impactful scholarly contributions and growing academic influence. He has achieved 170 citations overall, with 115 since 2021, reflecting consistent research relevance and visibility. His work includes 10 published documents indexed in Scopus, supported by 12 citations, and he holds an h-index of 2 in Scopus and 8 in Google Scholar. His i10-index stands at 7, indicating multiple well-cited publications.

Citation Metrics (Scopus)

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12

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Featured Publications

Deep learning enhanced energy market prediction: A robust ARIMAX–LSTM fusion for crude oil pricing
– Journal of Computational and Applied Mathematics, 2026

Algorithmic Stability in Turbulent Markets: Shallow vs Deep Learning in Cryptocurrency Forecasting
– Mathematics, 2026

Machine Learning in Finance: Transformation of Financial Markets
– Book Chapter, 2025

Predicting Financial Distress in the Textile Industry
– Journal Article, 2025

A New Approach of Energy Financing: Green Bonds in Emerging Economies
– Book Chapter, 2021