Mr. Ahmed Elsawi | Automation | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Ahmed Elsawi | Automation | Best Researcher Award

Project Manager Engineer | Mansoura University | United Arab Emirates

Ahmed Reda Ahmed Mohamed Elsawi is a defense systems researcher specializing in guidance, navigation, and control (GNC) for unmanned aerial vehicles, satellites, and intelligent aerospace systems. His research integrates control theory, deep learning, embedded systems, and optical sensing to enhance tracking accuracy, attitude determination, and autonomous performance in military-grade platforms. He has authored multiple international journal articles and conference papers covering UAV guidance laws, satellite control subsystems, encryption techniques, and neural-network-based optical measurement systems. His scholarly impact is reflected through Scopus and Google Scholar indexing, with over 100 citations, 11 indexed documents, and an h-index of 6, demonstrating sustained contributions to aerospace control and intelligent defense technologies.

Citation Metrics (Scopus)

120

90

60

30

10

0

 

Citations
117

Documents
11

h-index
6

          🟦 Citations 🟥 Documents 🟩 h-index


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Featured Publications

Mrs. Asmaa Hajib | Emission Mitigation | Research Excellence Award

Published on by Computer Scientists Awards

Mrs. Asmaa Hajib | Emission Mitigation | Research Excellence Award

Hassan II Agronomic and Veterinary Institute | Morocco

Asmaâ Hajib is an interdisciplinary researcher specializing in climate-smart agriculture, greenhouse gas mitigation, and sustainable agri-food supply chains, with a strong focus on evidence-based policy pathways for Morocco and sub-Saharan Africa. Her research integrates life cycle assessment, carbon footprint analysis, and climate policy benchmarking to support low-emission agricultural transitions. She is a published lead author in international journals, with research visibility across Google Scholar and Scopus-indexed sources, contributing to emerging citation counts and an early-stage h-index reflecting growing academic impact. Her work bridges applied food-system expertise with rigorous sustainability research, positioning her strongly within climate-resilient agriculture and environmental policy scholarship.

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Dr. Serban-Daniel Fechet | Internal Medicine | Research Excellence Award

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Dr. Serban-Daniel Fechet | Internal Medicine | Research Excellence Award

Grigore T. Popa University of Medicine and Pharmacy | Romania

Șerban-Daniel Fechet is an emerging clinical researcher and physician specializing in cardiovascular medicine, with growing involvement in investigator-led and regulated clinical research. His academic and scientific interests focus on cardiology, clinical trial methodology, patient-centered outcomes, and evidence-based medical practice. As a Sub-Investigator, he contributes to data collection, clinical assessment, and protocol-driven research within institutional cardiovascular studies. His research activity is progressively developing, with scholarly outputs indexed across Google Scholar and expanding visibility toward Scopus-indexed platforms, reflecting an early-stage citation record and foundational h-index profile. His commitment to Good Clinical Practice (GCP) and structured clinical research training positions him as a promising candidate for early-career clinical research and investigator development award categories.

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Featured Publications

    Sustainability, 2024

Ms. Leigh Pham | Renewable Energy | Research Excellence Award

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Ms. Leigh Pham | Renewable Energy | Research Excellence Award

Complex Plant Specialist | Charles Darwin University | Australia

Leigh Kim Pham is an emerging researcher in sustainable mechanics and renewable energy systems, with a strong focus on circular economy applications for large-scale energy infrastructure. His research investigates material lifecycles in solar, wind, gas turbine, and hydro-electric systems, emphasizing the re-introduction of short-lifespan materials into more sustainable energy generation pathways. His scholarly work addresses gaps between recycling strategies and practical reintegration of materials within mechanical and electrical energy systems. His publications are indexed across Scopus- and Google Scholar–tracked sources, reflecting early-stage but growing academic impact, including documented citations, an emerging h-index, and peer-reviewed journal contributions supporting innovation in sustainable mechanics and energy systems research.


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Dr. Ning Zhang | Real-Time Processing | Research Excellence Award

Published on by Computer Scientists Awards

Dr. Ning Zhang | Real-Time Processing | Research Excellence Award

Beijing Institute of technology | China

Ning Zhang is a researcher specializing in lightweight deep learning, FPGA-based acceleration, and onboard artificial intelligence for remote sensing, UAVs, and small satellite platforms. His research emphasizes energy-efficient neural network architectures, model compression, quantization, and hardware–algorithm co-design for edge intelligence under strict power and reliability constraints. He has authored multiple high-impact journal and conference papers in IEEE Transactions and related venues, alongside several authorized and accepted invention patents in AI hardware acceleration and remote sensing analytics. According to Google Scholar and Scopus-tracked outputs, his work has accumulated over 330 citations, with an h-index of 9 and a growing portfolio of peer-reviewed publications, reflecting strong academic impact and research leadership.

Citation Metrics (Google Scholar)

400

300

200

100

10

0

Citations
337

i10-index
8

h-index
9

       🟦 Citations    🟥 i10-index    🟩 h-index


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Mrs. Snežana Đurković | Materials Science | Women Researcher Award

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Mrs. Snežana Đurković | Materials Science | Women Researcher Award

Junior Research Assistant | Institute for Nuclear Sciences Vinča | Serbia

Snežana Đurković is an early-career physicist specializing in applied physics, optical materials, and physics-informed artificial intelligence. Her research focuses on luminescence mechanisms in transition-metal-activated inorganic phosphors, integrating supervised machine-learning techniques to predict optical properties for sensor and LED applications. Working within the Optical Materials and Spectroscopy (OMAS) research framework, she bridges experimental spectroscopy with data-driven modeling to enhance material performance understanding. Her emerging scholarly output is indexed across Google Scholar and Scopus, reflecting a developing citation record and h-index characteristic of a growing doctoral research portfolio. Her work demonstrates strong potential for impactful contributions to smart photonic materials and AI-assisted materials science.


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Featured Publications

Physics-Informed Artificial Intelligence Framework for Predicting Luminescence Properties of Cr³⁺-Doped Inorganic Phosphors
– SCOM 2025 Conference

Synthesis and Luminescent Properties of Pr³⁺-Doped Sr₂LaF₇ Phosphor Nanoparticles
– Optical Materials Conference, 2024

Dr. Yuanqiang Sun | Communication Technology | Research Excellence Award

Published on by Computer Scientists Awards

Dr. Yuanqiang Sun | Communication Technology | Research Excellence Award

National University of Defense Technology | China

Yuanqiang Sun is a doctoral researcher specializing in UAV wireless communications, electromagnetic spectrum monitoring, and intelligent decision-making using reinforcement learning and game theory. His research addresses key limitations of UAV-based sensing systems by proposing distributed heterogeneous multi-agent deep reinforcement learning frameworks for high-precision, wide-area UHF radiation source localization. His work demonstrates strong performance improvements in localization accuracy, robustness, and communication efficiency, contributing to advances in adaptive spectrum monitoring and autonomous aerial networks. His scholarly output includes peer-reviewed journal publications indexed in Scopus and Google Scholar, with growing citation counts, documented research contributions, and an emerging h-index reflecting increasing academic impact and research excellence potential.


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Mrs. Geu-Rim Song | Microbiome Studies | Excellence in Research Award

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Mrs. Geu-Rim Song | Microbiome Studies | Excellence in Research Award

Associate Researcher | Kolmar Korea.Co.Ltd.| South Korea

Geu-Rim Song is a research scientist specializing in bioactive compound enhancement from natural materials using fermentation and enzyme-based technologies, with applications in functional cosmetics and natural products. Her research emphasizes microbiome studies involving fungi and bacteria, phytochemical analysis, plant callus systems, and biofoundry development to improve skin hydration, antioxidant capacity, and anti-aging performance. She has published SCIE-indexed research, including a notable article in Molecules, and holds a strong innovation record with multiple registered and pending patents linked to her publications. According to Google Scholar and Scopus-related indexing, her work reflects growing scholarly impact with documented citations, peer-reviewed documents, and an emerging h-index, demonstrating research excellence and translational potential.

Citation Metrics (Google Scholar)

20

15

10

0

Citations
15

i10-index
1

h-index
1

           🟦 Citations   🟥 i10-index   🟩 h-index


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Featured Publications

Mr. Rade Radišić | Large Language Models | Research Excellence Award

Published on by Computer Scientists Awards

Mr. Rade Radišić | Large Language Models | Research Excellence Award

University of Novi Sad | Serbia

Rade Radišić is an early-career computer science researcher specializing in Large Language Models, automation in education, and fuzzy metric applications. His research focuses on integrating LLM-based evaluation with fuzzy distance metrics to improve the fairness, nuance, and reliability of automated grading systems, particularly in programming education. His work demonstrates how fuzzy-valued assessments can correct and refine LLM-generated scores, leading to more human-like and consistent grading outcomes. His research output is indexed across major scholarly platforms, with Scopus and Google Scholar records reflecting active contributions to peer-reviewed literature, accumulating citations, documented publications, and a growing h-index that highlights emerging research impact in intelligent educational systems.

Citation Metrics (Google Scholar)

30

20

10

0

 

Citations
16

i10-index
1

h-index
2

                    🟦 Citations    🟥 i10-index    🟩 h-index


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Featured Publications

Mr. Mohamed Eldesouky | UltraSound | Research Excellence Award

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Mr. Mohamed Eldesouky | UltraSound | Research Excellence Award

Heidelberg University | Germany

Mohamed Eldesouky is an early-career medical researcher specializing in diagnostic and oncologic imaging with a strong focus on translational applications in gynecologic oncology. His research centers on the innovative use of ultrasound elastography for ex vivo sentinel lymph node assessment, aiming to provide rapid, non-destructive malignancy prediction while preserving histopathological workflows. His peer-reviewed research has been published in an SCI-Expanded and Scopus-indexed journal, reflecting growing academic visibility. His scholarly output is currently developing within Scopus and Google Scholar, with an emerging citation record and h-index profile appropriate to a doctoral-stage researcher, demonstrating strong potential for future research impact and excellence.

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Featured Publications