Assist. Prof. Dr. Marwa Balaha | Computational Biology | Research Excellence Award

Assist. Prof. Dr. Marwa Balaha | Computational Biology | Research Excellence Award

D’Annunzio University of Chieti–Pescara | Italy

Assist. Prof. Dr. Marwa Balaha, affiliated with the Faculty of Pharmacy in Kafr El-Sheikh, Egypt, is an emerging researcher in the fields of medicinal chemistry, pharmacology, and drug discovery. Her research primarily focuses on the design, synthesis, and biological evaluation of novel therapeutic compounds, particularly targeting metabolic disorders and wound healing applications. With a portfolio of 26 indexed publications, 281 citations and h-index: 11, she demonstrates a consistent contribution to bioactive compound development and translational pharmaceutical research. Her recent work on thiazolidinedione-based dual inhibitors and innovative chromenyl–pyrazolyl derivatives highlights her expertise in multi-target drug design and in vivo validation. Dr. Balaha has established a broad collaborative network, reflected in her extensive co-authorship, facilitating interdisciplinary research across chemistry and biomedical sciences. Her work contributes to addressing global health challenges such as diabetes and tissue regeneration, underscoring its scientific relevance and potential societal impact.

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281
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281

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26

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11

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Dr. Xiangyu Zhang | Green Manufacturing | Young Scientist Award

Dr. Xiangyu Zhang | Green Manufacturing | Young Scientist Award

Ansteel Beijing Research Institute | China

Dr. Xiangyu Zhang is an emerging researcher in the field of advanced functional materials, with a particular focus on shape memory alloys and elastocaloric materials for energy-efficient thermal management applications. With a scholarly output of 8 publications and 131 citations, Zhang demonstrates a growing academic impact, supported by an h-index of 6. His work, including recent contributions on room-temperature elastocaloric effects in Co–Ni–Ga alloys, reflects a strong emphasis on solid-state cooling technologies and smart material design. Zhang has engaged in collaborative research with a network of 33 co-authors, indicating active participation in interdisciplinary and international research communities. His research contributes to the development of sustainable cooling solutions, aligning with global priorities in energy efficiency and environmental sustainability. Overall, Zhang’s profile reflects a focused and technically relevant contribution to materials science and applied physics.

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131
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131

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8

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6

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Prof. Dr. Doaa Badran | Digital Transformation | Research Excellence Award

Prof. Dr. Doaa Badran | Digital Transformation | Research Excellence Award

King Khalid University | Saudi Arabia

Prof. Dr. Doaa Mohamed Ibrahim Badran is a legal scholar specializing in international business law and foreign investment policy, affiliated with the University of Tabuk. Her research focuses on the evolution of investment regulations, particularly examining the shift from protectionist frameworks to liberalized economic policies within Saudi Arabia. She has authored 5 scholarly publications, which have received a total of 9 citations, with an h-index of 2, reflecting a growing academic presence in her field. Her work emphasizes legal reform, regulatory transparency, and alignment with global economic standards, contributing to contemporary discourse on investment governance. Through collaborations with a network of co-authors, she engages in interdisciplinary research bridging law and management. Her contributions hold social and economic significance by supporting policy development that fosters sustainable investment environments, enhances investor confidence, and promotes economic diversification in emerging markets.

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9
6
4
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9

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5

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2

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Assoc. Prof. Dr. Ante Kasap | Biotechnology | Research Excellence Award

Assoc. Prof. Dr. Ante Kasap | Biotechnology | Research Excellence Award

University of Zagreb | Croatia

Assoc. Prof. Dr. Ante Kasap, affiliated with the University of Zagreb Faculty of Agriculture, specializes in animal genetics and breeding, with a focused research trajectory on small ruminants, particularly Mediterranean sheep breeds. His work centers on genetic diversity, population structure, selection signatures, and wool trait analysis, contributing to advancements in livestock productivity and sustainable breeding strategies. With 31 publications, 372 citations, and an h-index of 10, he demonstrates a solid and growing academic impact. Kasap has collaborated with 55 international co-authors, reflecting strong engagement in global research networks and interdisciplinary cooperation. His recent studies highlight genomic approaches to improving breed performance and maintaining genetic variability, which are critical for long-term agricultural sustainability. The societal relevance of his research lies in its contribution to food security, rural development, and biodiversity conservation, particularly within Mediterranean agro-ecosystems, positioning his work within the broader framework of sustainable and resilient agricultural innovation.

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372
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372

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31

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10

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Prof. Dr. Jianquan Ouyang | Cyber Security | Research Excellence Award

Prof. Dr. Jianquan Ouyang | Cyber Security | Research Excellence Award

Xiangtan University | China

Prof. Dr. Jianquan Ouyang is an emerging researcher in the fields of artificial intelligence, machine learning, and data-driven computational modeling, with a strong emphasis on natural language processing, diffusion models, and federated learning. Affiliated with Xiangtan University, he has authored 66 scholarly publications, receiving 258 citations and achieving an h-index of 8, reflecting consistent research impact. His recent work explores advanced techniques such as nested named entity recognition, transformer-based architectures, and physics-constrained generative models, demonstrating interdisciplinary integration across AI and scientific computing. Dr. Ouyang has collaborated with a broad network of over 90 co-authors, contributing to diverse applications including biomedical imaging, atmospheric simulation, and healthcare monitoring systems. His research advances scalable, fair, and interpretable AI systems, with societal relevance in improving medical diagnostics, environmental modeling, and intelligent data processing frameworks.

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258
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258

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66

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8

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Prof. Qian Zhai | Geotechnics | Research Excellence Award

Prof. Qian Zhai | Geotechnics | Research Excellence Award

Southeast University | China

Prof. Qian Zhai is a prominent researcher in geotechnical engineering, specializing in unsaturated soil mechanics, soil–water characteristic curves, and hydraulic conductivity modeling. He has authored 68 peer-reviewed publications, accumulating over 1,611 citations and achieving an h-index of 21, reflecting strong academic influence. His research focuses on developing advanced mathematical and computational models to analyze soil behavior under environmental factors such as rainfall and wetting processes. Notable contributions include innovative modeling techniques for bimodal soil-water characteristic curves, prediction of wetting-induced settlement in loess soils, and slope stability assessment. With collaborations involving more than 100 co-authors, Prof. Zhai maintains active engagement in international research networks. His work has significant practical relevance, contributing to improved foundation design, infrastructure resilience, and geotechnical risk mitigation, particularly in climate-sensitive regions, thereby demonstrating meaningful societal and engineering impact.

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1,611

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68

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21

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Mr. Jaideep Sharma | Quantum-Classical Models | Research Excellence Award

Mr. Jaideep Sharma | Quantum-Classical Models | Research Excellence Award

Microsoft India Pvt. Ltd. | India

Mr. Jaideep Sharma is an emerging researcher in Computer Science and Engineering with a growing focus on advanced computational intelligence, particularly the integration of quantum and classical machine learning techniques. As an undergraduate student at the Indian Institute of Technology (BHU), Varanasi, he has demonstrated early research capability through his peer-reviewed publication titled “QGCNLP: Hybrid Quantum–Classical Graph Convolutional Network based Link Prediction” in an internationally recognized journal. His work highlights expertise in graph neural networks, link prediction, and hybrid quantum-classical frameworks, reflecting strong interdisciplinary knowledge. With one publication and collaborative research contributions alongside established scholars, he is steadily building his academic profile. His research addresses complex data-driven challenges with potential applications in social network analysis, recommendation systems, and bioinformatics. Overall, his work signifies a promising trajectory toward next-generation computing solutions, combining innovation, collaboration, and relevance to both scientific advancement and broader societal applications.


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Dr. Hameed Ur Rehman | Photonics | Best Researcher Award

Dr. Hameed Ur Rehman | Photonics | Best Researcher Award

The Chinese University of Hong Kong | China

Dr. Hameed Ur Rehman, affiliated with The Chinese University of Hong Kong, Shenzhen, is an emerging researcher specializing in semiconductor materials and optoelectronic device engineering, with a particular focus on advanced III-nitride materials for deep-ultraviolet (DUV) applications. His research primarily addresses challenges in carrier transport optimization and material efficiency in next-generation laser diodes, as evidenced by his recent work on P-type BGaN for 266.1 nm DUV laser systems. He has authored 11 peer-reviewed publications, accumulating 61 citations and achieving an h-index of 6, reflecting consistent scholarly impact within a competitive research domain. His collaborations with 26 co-authors indicate active engagement in interdisciplinary and international research networks. Through his contributions to micro- and nanostructure-based optoelectronic technologies, his work holds potential societal impact in areas such as sterilization, medical diagnostics, and environmental monitoring, aligning with global technological and sustainability priorities.

Citation Metrics (Scopus)

61
40
20
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61

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11

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6

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