Prof. Dr. Angela Slavova | Partial Differential Equations | Best Research Article Award

Prof. Dr. Angela Slavova | Partial Differential Equations | Best Research Article Award

Professor | Bulgarian Academy of Sciences | Bulgaria

Prof. Angela Slavova is a distinguished researcher in applied mathematics and computational science, with major contributions to neural networks, cellular and physics-informed neural networks, memristive systems, and nonlinear dynamics, including edge-of-chaos phenomena. Her work bridges mathematical theory with engineering and physical applications and is widely recognized in IEEE and applied mathematics communities. She has authored over 120 peer-reviewed publications and four international monographs with leading academic publishers. According to Scopus, her research impact includes 266 citations across 126 indexed documents with an h-index of 8, reflecting sustained scholarly influence.

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266

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126

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8

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Dr. Naveed khan | Finance | Research Excellence Award

Dr. Naveed khan | Finance | Research Excellence Award

Director | Shandong University | China

Dr. Naveed Khan is a finance and economics researcher whose work spans banking regulation, fiscal policy, public debt, capital markets, energy economics, and environmental sustainability. His research integrates econometric and machine-learning approaches to examine financial performance, governance, debt dynamics, green finance, and energy–growth–emissions linkages across developed and emerging economies. He has published in leading SSCI and ABS-ranked journals, with several Q1 articles under review or forthcoming. According to Scopus and Google Scholar, his research has received around 165 citations, with 5 indexed documents and an h-index of 2, reflecting growing international scholarly impact.

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5

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Dr. Fei Ming | Evolutionary Computation | Research Excellence Award

Dr. Fei Ming | Evolutionary Computation | Research Excellence Award

Researcher | Westlake University | China

Dr. Fei Ming is a postdoctoral researcher specializing in evolutionary computation and learning-assisted multi-objective optimization, with strong applications in machine learning, neural architecture search, feature engineering, and spiking neural networks. His research advances the integration of machine learning and deep learning into evolutionary multi-objective algorithms, significantly improving search efficiency, robustness, and real-world applicability. He has authored 40 SCI/Scopus-indexed journal and conference papers, including publications in leading IEEE venues, with two ESI Highly Cited Papers. According to Google Scholar and Scopus metrics, his work has achieved over 1,400 citations with an h-index of 20, reflecting substantial international research impact and sustained scholarly excellence.

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Prof. Hedi Sakli | Artificial Intelligence | Research Excellence Award

Prof. Hedi Sakli | Artificial Intelligence | Research Excellence Award

Professor | University of Tunis El Manar | Tunisia

Hedi Sakli is a senior researcher and academic expert in telecommunications, electromagnetics, antennas, wave propagation, and advanced radiofrequency systems, with strong contributions spanning 5G technologies, metamaterials, optical communications, signal processing, and applied artificial intelligence. His research integrates theoretical electromagnetism with practical engineering applications, including IoT, sensor networks, and AI-assisted health and communication systems. He has authored an extensive body of peer-reviewed scientific work with significant international visibility. According to indexed databases, his research impact includes more than 116 Scopus-indexed documents with over 1,197 citations and an h-index of 14, alongside more than 1,755 Google Scholar citations and an h-index of 17, reflecting sustained scholarly influence and research leadership.

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Mr. Sina Rezaei | Computer Vision | Research Excellence Award

Mr. Sina Rezaei | Computer Vision | Research Excellence Award

Engineer | University of Tehran | Iran

Mr. Sina Rezaei Nafar is a researcher in photogrammetry, computer vision, and geomatics engineering, with a strong focus on 3D reconstruction, semantic segmentation, and AI-driven analysis of spatial data. His work integrates spherical and fisheye camera systems, low-cost imaging sensors, and machine learning models to enhance point cloud accuracy, urban mapping, and cultural heritage documentation. His research has been published in high-impact international journals, including Sensors, addressing camera calibration, network design, and point cloud quality assessment. According to Google Scholar, his scholarly output includes multiple indexed documents with 12 citations and an h-index of 2, reflecting growing academic impact across photogrammetry and computer vision research.

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Dr. Mohamed El Malki | Materials Sciences | Research Excellence Award

Dr. Mohamed El Malki | Materials Sciences | Research Excellence Award

Vocational Professor | Mohammed 1 University | Morocco

Mohamed El Malki is a researcher in acoustics and materials physics whose work centers on the theoretical and experimental investigation of periodic and quasi-periodic acoustic waveguide structures, including Helmholtz resonators and phononic crystals. His research contributes to advanced noise control, wave manipulation, and acoustic metamaterials, with publications in high-impact journals such as Scientific Reports and several ongoing studies on Thue–Morse resonator systems. His scholarly output demonstrates consistent international visibility and impact, with Scopus indexing 33 documents, 139 citations, and an h-index of 7, while Google Scholar records approximately 178 citations, an h-index of 7, and a growing i10-index, reflecting sustained research influence in applied and fundamental acoustics.

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Ms. Bushra Abro | Federated Learning | Research Excellence Award

Ms. Bushra Abro | Federated Learning | Research Excellence Award

Research Associate | Mehran University of Engineering and Technology | Pakistan

Ms. Bushra Abro is a Computer and Information Engineer with strong expertise in deep learning, computer vision, medical imaging, federated learning, and real-time condition monitoring, actively contributing to advanced AI-driven research and applied systems. She has authored 6 Scopus-indexed documents with 25 citations, achieving an h-index of 2, reflecting consistent research impact in intelligent inspection and safety-critical monitoring domains. Her work spans high-quality journals and international conferences, including Springer Nature, IEEE, MDPI, Taylor & Francis, and Elsevier, with accepted and forthcoming publications focused on railway safety, rolling stock inspection, and road defect detection using YOLO, transformers, and federated learning frameworks. Currently serving as a Research Associate, she leads and collaborates on multidisciplinary projects in robotics, AI, and condition monitoring, translating research into real-world solutions. Her contributions demonstrate innovation, technical depth, leadership, and measurable scholarly impact, making her highly suitable for the Research Excellence Award for her sustained research productivity, citation performance, and meaningful advancements in intelligent infrastructure monitoring.

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Dr. Septimiu Lica | Power Electronics | Excellence in Research Award

Dr. Septimiu Lica | Power Electronics | Excellence in Research Award

The Polytechnic University of Timisoara | Romania

Dr. Septimiu Lica is an academic researcher and engineer specializing in power electronics, embedded systems, hardware development, and intelligent electronic systems. His research focuses on DC–DC converters, stability and bifurcation analysis, renewable energy power systems, thermal modeling, and innovative teaching methodologies in electronics and physics education. He has authored numerous peer-reviewed journal articles and conference papers addressing converter topologies, control strategies, and applied electronics. His scholarly impact is reflected through 34 documents indexed in Scopus with 143 citations and an h-index of 7, while Google Scholar reports over 200 citations and an h-index of 9, demonstrating sustained research influence and academic contribution.

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Featured Publications

A Novel High Accuracy PV Cell Model Including Self-Heating and Parameter Variation
– Energies, 2017

A New Hybrid Inductor-Based Boost DC-DC Converter for Photovoltaic Systems
– Energies, 2019

A New Quadratic Buck Converter
– ISETC, 2014

A New Step-Up-Down Quadratic DC-DC Converter with a Single Active Switch
– Journal of Computational & Applied Mathematics, 2024

Cybersecurity for Embedded Systems: A Review
– 2022

Riccardo Ciciotti | Devices for Optoelectronics | Research Excellence Award

Dr. Riccardo Ciciotti | Devices for Optoelectronics | Research Excellence Award

University of Rome Tor Vergata | Italy

Dr. Riccardo Ciciotti is an early-career researcher in physics and materials science with a strong focus on nanomaterials, optoelectronics, and photonic devices. His research combines experimental fabrication and advanced characterization of functional materials, including responsive polymer microgels and topological-insulator-based photodetectors, supported by computational tools and data analysis. His work contributes to understanding optical, electronic, morphological, and structural properties relevant to next-generation sensing and optoelectronic technologies. Riccardo has co-authored peer-reviewed journal publications and international conference contributions. According to Google Scholar, his research record includes published documents with existing citations, an h-index of 1, and growing academic visibility, indicating promising potential for future high-impact research contributions.

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Featured Publication

PNIPAM microgel coatings of LiF crystal radiation detectors

– Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2024

Oluwaseun Duntoye | Energy Technologies | Research Excellence Award

Mr. Oluwaseun Duntoye | Energy Technologies | Research Excellence Award

Research Assistant | Seoul National University of Science | South Korea

Mr. Seun Duntoye is a power systems and AI-based control researcher specializing in intelligent modeling, optimization, and data-driven control of modern energy networks. His research spans smart grids, renewable energy integration, HVDC systems, energy storage, electric vehicles, and power electronics, with a strong emphasis on deep learning–based forecasting and hardware-efficient control strategies for resilient and sustainable power systems. His scholarly outputs include journal articles, conference papers, and technical studies indexed across Google Scholar and Scopus databases, demonstrating measurable research impact through documented citations, growing publication counts, and an emerging h-index. His work reflects strong potential for high-impact doctoral research and recognition in energy systems and AI-driven power engineering award categories.

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