Prof. Dr. Gabriel Gustavo Carlo | Quantum Science | Best Researcher Award

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Prof. Dr. Gabriel Gustavo Carlo | Quantum Science | Best Researcher Award

Prof. Dr. Gabriel Gustavo Carlo | Researcher | National Scientific and Technical Research Council | Argentina

Academic Background

Gabriel Gustavo Carlo holds a Doctorate in Physics and a Licentiate in Physics from the University of Buenos Aires. His academic journey reflects a deep commitment to both theoretical and applied aspects of quantum mechanics and complex systems. According to Scopus, he has contributed to over 50 documents, which have been cited by more than 500 works, reflecting his significant presence in the scientific community. His h-index on Scopus stands at eighteen, demonstrating consistent scholarly impact, while his Google Scholar profile reports over 700 citations, a cumulative h-index of 20, and an i10-index of 35, underscoring his influence and visibility in the field.

Research Focus

Carlo’s research centers on quantum chaos, dissipative systems, and the interplay between classical and quantum dynamics. He explores quantum computation, quantum reservoir computing, and the role of noise in enhancing quantum algorithms. His work aims to bridge foundational theory with practical computational applications, emphasizing the optimization of quantum circuits and the understanding of complex behaviors in open quantum systems.

Work Experience

He currently serves as an independent researcher at the National Scientific and Technical Research Council (CONICET), associated with the TANDAR Laboratory in Buenos Aires. Carlo has held teaching positions at multiple institutions, including the University of Buenos Aires, National University of Quilmes, Favaloro University, and the National University of General San Martín, where he continues to guide and mentor graduate and undergraduate students. His career reflects a combination of research leadership, project management, and pedagogy.

Key Contributions

Carlo has directed numerous doctoral and undergraduate theses, fostering the development of new talent in the fields of quantum physics and complex systems. His studies have introduced methods for analyzing quantum dissipative systems, optimal parameterized quantum circuits, and the use of machine learning to explore quantum localization. He has significantly contributed to understanding the correspondence between classical and quantum dynamics and the role of environmental effects in quantum systems.

Awards & Recognition

He has been recognized as an outstanding referee for the Physical Review journals, reflecting his expertise and reputation in evaluating cutting-edge research in physics.

Professional Roles & Memberships

Carlo actively participates in the international scientific community as a referee for leading journals including Physical Review, Physical Review Letters, Scientific Reports, and Chaos. He serves on editorial and reviewer boards for journals such as Entropy and contributes to Mathematical Reviews. Additionally, he has organized international workshops and seminars on quantum chaos, fostering collaboration across institutions in Europe and Latin America.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Bergamasco, P. D., Carlo, G. G., & Rivas, A. M. F. Spectral truncation of out-of-time-ordered correlators in dissipative systems. Physical Review E, 112, 034201.

Rivas, A. M. F., Vergini, E. G., Ermann, L., & Carlo, G. G. Ideal gas law for a quantum particle. Physical Review E, 112, 014223.

Montes, J., Borondo, F., & Carlo, G. G. Optimal multicore quantum computing with few interconnects. APL Quantum, 2, 026104.

Domingo, L., Grande, M., Carlo, G., Borondo, F., & Borondo, J. Optimal quantum reservoir computing for market forecasting. arXiv:2401.03347.

Correr, G. I., Azado, P. C., Soares-Pinto, D. O., & Carlo, G. Optimal complexity of parameterized quantum circuits. arXiv:2405.19537.

Impact Statement / Vision

Carlo envisions advancing the field of quantum technologies by integrating foundational physics with practical computational strategies. His work aims to optimize quantum computation under realistic conditions and provide frameworks for understanding complex quantum systems, bridging theory and application to address future challenges in science and technology.

Prof. Young-Son Cho | Climate research | Distinguished Scientist Award

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Prof. Young-Son Cho | Climate research | Distinguished Scientist Award

Prof. Young-Son Cho | Professor | Gyeongsang National University | South Korea

Academic Background

Prof. Young-Son Cho completed his B.Sc. in Agriculture at Gyeongsang National University in Korea, followed by an M.Sc. in Crop Science at Shimane University in Japan under the Monbukagakusho Scholarship. He earned his Ph.D. in Crop Science from Gyeongsang National University and further advanced his research as a JSPS Research Fellow at Ehime University in Japan. Over his career, he has accumulated a substantial body of work with over three hundred citations, more than twenty-five documents, and a strong h-index reflecting the impact and relevance of his research, as recorded in Scopus and Google Scholar.

Research Focus

Prof. Cho’s research centers on sustainable and eco-friendly crop cultivation. He focuses on developing low-carbon water management technologies in paddy rice, enhancing climate resilience in soybean production, and quantifying abiotic stress impacts in upland crops such as potato and sweet potato through advanced imaging techniques. His work integrates precision agriculture, machine learning, and explainable AI to optimize crop management and mitigate climate-related risks.

Work Experience

Prof. Cho began his professional career as a crop physiologist at Yeongnam Agricultural Research Institute, where he contributed to direct-seeded rice cultivation research. He later joined the Rural Development Administration as a research scientist, followed by multiple roles in advisory and field consulting capacities. He has served in senior specialist positions and directed eco-friendly agricultural programs, including certification centers for agricultural products. His international exposure includes research collaboration in the United States and Japan, enhancing his global perspective in crop science and sustainable agriculture.

Key Contributions

Prof. Cho has made significant contributions in applying AI and remote sensing technologies to monitor and classify crop water stress, enabling early detection of abiotic stress and improved yield management. He has pioneered low-carbon agricultural practices, optimized soybean cultivation under climate variability, and developed industrial insect rearing systems for agricultural applications. His work has advanced both the scientific understanding and practical implementation of eco-friendly and resilient crop systems.

Awards & Recognition

Prof. Cho has been recognized for his leadership and expertise in crop science, particularly in the integration of sustainable agricultural practices and innovative research methodologies. His contributions to eco-friendly agriculture and climate-adaptive cultivation have earned him professional accolades and institutional recognition.

Professional Roles & Memberships

Prof. Cho has held influential roles, including directing agricultural product certification centers, chairing subcommittees on education and research integration, and leading carbon neutrality and green growth initiatives. He has also contributed to professional societies, editorial boards, and advisory committees, reflecting his active engagement in shaping agricultural policy and research direction.

Profile

Scopus

Featured Publications

Choi, J. W., Cho, S. B., Hidayat, M. S., & Kim, G. Application of multimodal data fusion and explainable AI for classifying water stress in sweet potatoes. Frontiers in Plant Science.

Park, M. S., Faqeerzada, A., Jang, S. H., & Cho, B. K. Detection of abiotic stress in potato and sweet potato plants using hyperspectral imaging and machine learning. Plants.

Cho, S. B., Hidayat, M. S., Choi, J. W., & Kim, G. Recent methods for evaluating crop water stress using AI techniques: A review. Sensors.

Park, M. S., Kim, H., Lee, H., & Cho, B. K. Determination of water stress in field crops using hyperspectral imaging. Conference Paper.

Cho, S. B., Hidayat, M. S., & Choi, J. W. Early detection of tomato gray mold based on multispectral imaging and machine learning. Sensors.

Impact Statement / Vision

Prof. Cho envisions advancing sustainable agriculture through precision crop management and innovative technologies. His work aims to enhance food security, mitigate climate impact, and promote eco-friendly cultivation practices globally, bridging scientific research with practical agricultural solutions.

Prof. Dr. Fathi Touati | Nanomaterials and Applications | Best Researcher Award

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Prof. Dr. Fathi Touati | Nanomaterials and Applications | Best Researcher Award

Prof. Dr. Fathi Touati | Director of Laboratory | National Institute for Physicochemical Research and Analysis | Tunisia

Academic Background

Pr. Fathi Touati is a distinguished Tunisian researcher and the Director of the Laboratoire Matériaux, Traitement et Analyse at the Institut National de Recherche et d’Analyse Physico-chimique (INRAP), located at the BiotechPole of Sidi Thabet in Tunisia. He holds advanced academic qualifications in materials science and physical chemistry, with a strong foundation in nanomaterials and electrochemistry. His scholarly excellence is reflected in his publication record, with 55 documents indexed in Scopus, accumulating a total of 673 citations and an h-index of thirteen. His consistent research output and citation performance highlight his sustained contributions and growing recognition across international scientific platforms, including Scopus and Google Scholar.

Research Focus

His research is centered on nanomaterials, photocatalysis, electrochemistry, sensors, and environmental applications. He particularly investigates the synthesis, structural properties, and functional applications of hybrid materials for use in advanced energy and environmental systems.

Work Experience

Throughout his career, Pr. Touati has held significant academic and research positions, advancing scientific inquiry in materials chemistry. As Director of INRAP’s Laboratoire Matériaux, Traitement et Analyse, he has led multiple interdisciplinary research programs that integrate nanotechnology with sustainable energy and environmental technologies. His experience includes extensive laboratory management, mentoring of young researchers, and active participation in collaborative projects with national and international institutions.

Key Contributions

Pr. Touati has made substantial contributions to the synthesis and characterization of hybrid organic-inorganic materials, the development of nanostructured metal oxides, and the exploration of their electrochemical and photocatalytic properties. His pioneering work in sol-gel processes and hydrothermal synthesis techniques has advanced the understanding of materials behavior at the nanoscale, influencing developments in sensors, catalysis, and green technology.

Awards & Recognition

He has received recognition for his outstanding scientific contributions and leadership in materials research, earning respect both in Tunisia and within the global scientific community.

Professional Roles & Memberships

Pr. Touati serves as the Director of INRAP’s Laboratoire Matériaux, Traitement et Analyse, where he leads research teams and fosters academic-industry partnerships. He is also actively engaged in professional organizations related to chemistry, nanoscience, and materials research, contributing to the dissemination of scientific knowledge and mentoring the next generation of researchers.

Profile

Scopus | ORCID

Featured Publications

Touati, F., Hafidh, A., & Hamzaoui, A. H. (2019). Synthesis of new silica xerogels based on bi-functional 1,3,4-thiadiazole and 1,2,4-triazole adducts. Journal of Sulfur Chemistry.

Kouass, S., Fadhalaoui, A., Kahlaoui, M., Dhaouadi, H., & Touati, F. (2018). Electrical and electrochemical properties of undoped CePO₄ and doped Ce₀.₉Cd₀.₁₅−ₓLi₂ₓPO₄ nanomaterials. Materials Letters.

Hafidh, A., Touati, F., Hosni, F., Hamzaoui, A. H., & Somrani, S. (2018). New silica hybrids elaborated by sol-gel process from bifunctional thiadiazole and 1,2,4-triazole precursors. Phosphorus, Sulfur and Silicon and the Related Elements.

Kouass, S., Sahbani, S., Dhaouadi, H., & Touati, F. (2017). Chromium substitution induced effects on the structure, optical and electrical properties of yttrium oxide. Journal of the Australian Ceramic Society.

Janene, F., Dhaouadi, H., Arfaoui, L., Etteyeb, N., & Touati, F. (2016). Nanoplate-like CuO: hydrothermal synthesis, characterization, and electrochemical properties. Ionics.

Impact Statement / Vision

Pr. Touati envisions advancing nanomaterial science toward cleaner and more sustainable technological solutions. His long-term goal is to develop innovative materials that contribute to environmental protection, renewable energy, and improved sensing technologies, reinforcing the vital role of chemistry in addressing global challenges.

Prof. Mohamed EL-Seaid | Environmental Remediation Techniques | Excellence in Research Award

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Prof. Mohamed EL-Seaid | Environmental Remediation Techniques | Excellence in Research Award

Prof. Mohamed EL-Seaid | Professor | King Saud University | Saudi Arabia

Academic Background

Prof. Mohamed Hamza El-Saeid, Ph.D., is a distinguished Professor of Chemistry and Environmental Pollution at King Saud University, Riyadh. He earned his doctoral degree in Chemistry and Pesticide Residue Analysis through a joint supervision program between Texas Southern University, USA, and Al-Azhar University, Egypt. His advanced research training in Environmental and Toxicology laboratories in the United States provided him with a strong foundation in analytical and environmental chemistry. He holds a Master’s degree in Food Contamination and a Bachelor’s degree in Food Science from Al-Azhar University. His academic journey has produced remarkable outcomes, including 36 Scopus-indexed documents, over 532 citations by 506 international studies, and an h-index of 16. On Google Scholar, his research impact is further highlighted by 1,195 total citations, an h-index of 20, and an i10-index of 29, demonstrating his consistent scholarly influence in the fields of chemistry, environmental science, and toxicology.

Research Focus

Prof. El-Saeid’s research focuses on environmental pollution, pesticide residue analysis, and food safety. His expertise lies in developing and applying advanced chromatographic and spectroscopic techniques to monitor contaminants in food, soil, air, and water systems, contributing to sustainable agricultural and environmental practices.

Work Experience

He serves as Professor of Chemistry and Pesticide Residue Analysis at King Saud University, where he also directs the Chromatographic Analysis Unit and the Labs and Risk Management Unit. His prior academic appointments include serving as an Assistant Professor at Al-Azhar University and as a Visiting Professor at Texas Southern University and Oklahoma State University. Throughout his career, he has supervised numerous funded research projects, collaborated with government agencies such as SABIC and KACST, and consulted for the Saudi Centers of Research Excellence under the Ministry of Higher Education.

Key Contributions

Prof. El-Saeid has made pioneering contributions to pesticide residue analysis and environmental pollution studies. His work has enhanced analytical methodologies for the detection of persistent organic pollutants and toxic residues, advancing regional and global understanding of chemical contaminants in agricultural and environmental systems. His translations of major scientific works into Arabic have further enriched regional access to scientific knowledge.

Awards & Recognition

He has received multiple research grants and commendations from national and international institutions for his outstanding research leadership, publication record, and scientific contributions to environmental chemistry.

Professional Roles & Memberships

Prof. El-Saeid holds several administrative and advisory roles, including Director of Chromatographic Analysis and Labs & Risk Management Units at King Saud University. He has been associated with Al-Azhar University as a delegate and has served as a SCORE Consultant for the Ministry of Higher Education in Saudi Arabia.

Profile

Google Scholar | ORCID | Scopus

Featured Publications

El-Saeid, M. H., & Selim, M. (2016). Effect of food processing on reduction of pesticide residues in vegetables. Journal of Applied Life Sciences International, 8(1), 1–6.

El-Saeid, M. H., & Al-Dosari, S. A. (2010). Monitoring of pesticide residues in Riyadh dates by SFE, MSE, SFC, and GC techniques. Arabian Journal of Chemistry, 3(3), 179–186.

Ahmad, M., El-Saeid, M. H., Akram, M. A., Ahmad, H. R., Haroon, H., & Hussain, A. (2016). Silicon fertilization – A tool to boost up drought tolerance in wheat. Journal of Plant Nutrition, 39(9), 1283–1291.

El-Saeid, M. H., BaQais, A., & Alshabanat, M. (2022). Study of the photocatalytic degradation of highly abundant pesticides in agricultural soils. Molecules, 27(3), 634.

Alghamdi, A. G., El-Saeid, M. H., Alzahrani, A. J., & Ibrahim, H. M. (2022). Heavy metal pollution and associated health risk assessment of urban dust in Riyadh, Saudi Arabia. PLoS One, 17(1), e0261957.

Impact Statement / Vision

Prof. Mohamed Hamza El-Saeid envisions a sustainable future through the integration of analytical chemistry with environmental protection and food safety. His lifelong commitment to scientific excellence and mentorship continues to inspire advancements in pollution control, toxicological studies, and agricultural innovation. His vision aligns with global sustainability goals by promoting cleaner environments and safer food systems for future generations.

Assist. Prof. Dr. Mustaqeem Khan | Artificial intelligence | Best Researcher Award

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Assist. Prof. Dr. Mustaqeem Khan | Artificial intelligence | Best Researcher Award

Assist. Prof. Dr. Mustaqeem Khan | Assistant Professor | United Arab Emirates University | United Arab Emirates

Academic Background

Dr. Mustaqeem Khan is a distinguished researcher and academic in the field of Artificial Intelligence and Signal Processing. He earned his Doctorate in Software Convergence from Sejong University, South Korea, where his research focused on emotion recognition using deep learning. He also holds a Master’s degree in Computer Science from Islamia College Peshawar, Pakistan, where he was awarded a Gold Medal for academic excellence, and a Bachelor’s degree in Computer Science from the University of Agriculture, Peshawar. Dr. Khan’s scholarly impact is reflected in his remarkable research record, with Scopus indexing 47 documents and over 2,412 citations, resulting in an h-index of 20. On Google Scholar, his work has gained over 2,934 citations, maintaining an h-index of 21 and an i10-index of 31, positioning him among the top two percentage scientists globally.

Research Focus

His research primarily explores Speech and Audio Signal Processing, Emotion Recognition, and Deep Learning. Dr. Khan’s studies integrate multi-modal data analysis through advanced architectures, such as CNNs and Transformers, for applications in speech emotion recognition, computer vision, and energy analytics.

Work Experience

Dr. Khan serves as an Assistant Professor at the United Arab Emirates University, contributing to teaching, research supervision, and curriculum development. Previously, he worked as a Postdoctoral Fellow and Lab Coordinator at the Mohamed Bin Zayed University of Artificial Intelligence, where he collaborated with the Technical Innovation Institute on drone detection systems and managed multidisciplinary AI research teams. Before that, he gained substantial academic and research experience as a Research Assistant at Sejong University and as a Lecturer at Islamia College Peshawar, mentoring students in core computer science and artificial intelligence subjects.

Key Contributions

Dr. Khan has developed several advanced deep learning models, including hybrid attention transformers, multimodal cross-attention networks, and ensemble architectures for audio-visual recognition tasks. His work has contributed to advancements in emotion recognition, drone-based surveillance, and smart city analytics. He has also participated in major funded projects supported by the National Research Foundation of Korea and the Technology Innovation Institute, UAE.

Awards & Recognition

He has been honored with multiple distinctions, including Best Paper Awards, an Outstanding Research Award during his Ph.D., and recognition as a Gold Medalist for academic performance. His inclusion among the Top 2% Scientists (2023–2024) underscores his exceptional research influence and scholarly excellence.

Professional Roles & Memberships

Dr. Khan is an editorial board member and associate editor for several international journals, including the Annals of Applied Sciences and the European Journal of Mathematical Analysis. He serves as a reviewer for over 35 prestigious journals such as IEEE Access, Applied Soft Computing, and Knowledge-Based Systems, actively contributing to academic quality and peer review.

Profile

Scopus | Google Scholar | ORCID

Featured Publications

Khan, M., Ahmad, J., El Saddik, A., & Gueaieb, W. (2025). Joint Multi-Scale Multimodal Transformer for Emotion Using Consumer Devices. IEEE Transactions on Consumer Electronics.

Khan, M., Tran, P. N., Pham, N. T., & Othmani, A. (2025). MemoCMT: Multimodal Emotion Recognition Using Cross-Modal Transformer-Based Feature Fusion. Nature Scientific Reports.

Khan, M., Ahmad, J., El Saddik, A., & Gueaieb, W. (2024). Drone-HAT: Hybrid Attention Transformer for Complex Action Recognition in Drone Surveillance Videos. Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Khan, M., Kwon, S. (2021). Optimal Feature Selection Based Speech Emotion Recognition Using Two-Stream Deep Convolutional Neural Network. International Journal of Intelligent Systems.

Khan, M., Kwon, S. (2021). Att-Net: Enhanced Emotion Recognition System Using Lightweight Self-Attention Module. Applied Soft Computing.

Impact Statement / Vision

Dr. Mustaqeem Khan envisions advancing AI systems capable of understanding human emotions and behaviors with precision and empathy. His goal is to integrate deep learning and multimodal intelligence into real-world applications that enhance human–machine interaction, healthcare, and smart technologies. His ongoing commitment to innovation continues to shape the future of intelligent computing and global research collaboration.

Prof. Elias Aifantis | Mechanics| Outstanding Scientist Award

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Prof. Elias Aifantis | Mechanics | Outstanding Scientist Award

Prof. Elias Aifantis | Emeritus Professor | Aristotle University of Thessaloniki | Greece

Academic Background

Prof. Elias C. Aifantis is a distinguished scholar with an extensive academic journey spanning multiple continents and institutions. He holds long-standing associations with Aristotle University of Thessaloniki in Greece, Michigan Technological University in the United States, and the Hellenic Mediterranean University in Rethymnon. His exceptional academic influence is evidenced by more than 15,618 citations on Scopus and over 25963 citations on Google Scholar. His h-index is 61 on Scopus and 75 on Google Scholar, highlighting the lasting significance of his scientific contributions across engineering, materials science, and applied mechanics. Over 371 publications are indexed in Scopus, demonstrating his remarkable consistency and leadership in advancing theoretical and applied research in continuum mechanics, nanomechanics, and gradient theories.

Research Focus

His research primarily centers on gradient elasticity, plasticity, and dislocation mechanics. He has pioneered the development of gradient theories to explain complex deformation processes in materials across nano, micro, and macro scales, bridging the gap between classical mechanics and emerging nanoscience.

Work Experience

Throughout his career, Prof. Aifantis has served in various teaching and research capacities across premier institutions in Greece, the United States, China, Russia, and Saudi Arabia. His experience encompasses decades of professorship and research leadership, fostering groundbreaking collaborations with global scientists in material deformation, dislocation dynamics, and gradient elasticity. His roles as an Emeritus Professor and Visiting Scholar in multiple universities reflect his enduring impact on scientific education and interdisciplinary innovation.

Key Contributions

Prof. Aifantis introduced the theory of gradient plasticity, which has become a foundational framework in the field of materials mechanics. His collaborations with prominent scientists, including Nobel Laureate Ilya Prigogine and Regents Professor James Serrin, led to the development of the Walgraef–Aifantis model for dislocation patterning and gradient interfaces. These contributions have profoundly influenced research in mechanical instabilities, nanocrystalline materials, and stochastic mechanics. His theoretical models have been integrated into contemporary studies addressing deformation, fracture, and size-dependent phenomena in materials.

Awards & Recognition

He has been internationally recognized for his pioneering research through numerous academic distinctions, invitations, and honorary positions. His contributions to the mechanics of materials have earned him global acclaim as one of the most cited and influential scientists in his field.

Professional Roles & Memberships

Prof. Aifantis is a member of several international scientific and engineering organizations. He has served on editorial boards of leading international journals and has edited or co-edited twelve books, special issues, and conference proceedings. His professional engagements underscore his dedication to advancing scientific discourse and mentoring the next generation of researchers.

Profile

Scopus | Google Scholar

Featured Publications

Aifantis, E. C. (1984). On the microstructural origin of certain inelastic models. International Journal of Engineering Science, 22, 961–1224.

Aifantis, E. C. (1992). On the role of gradients in the localization of deformation and fracture. International Journal of Engineering Science, 30(10), 1279–1299.

Aifantis, E. C. (1987). The physics of plastic deformation. International Journal of Plasticity, 3(3), 211–247.

Askes, H., & Aifantis, E. C. (2011). Gradient elasticity in statics and dynamics: An overview of formulations, length scale identification procedures, finite element implementations and new results. International Journal of Solids and Structures, 48(13), 1962–1990.

Triantafyllidis, N., & Aifantis, E. C. (1986). A gradient approach to localization of deformation. I. Hyperelastic materials. Journal of Elasticity, 16(3), 225–237.

Impact Statement / Vision

Prof. Elias Aifantis envisions a scientific future where continuum mechanics, materials science, and quantum-scale modeling converge to redefine engineering innovation. His lifelong pursuit of advancing gradient theories continues to inspire new generations of scientists to explore the interplay between structure, scale, and mechanical behavior for sustainable and transformative technological progress.

Prof. Hanna Michalak | Architecture | Best Researcher Award

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Prof. Hanna Michalak | Architecture | Best Researcher Award

Prof. Hanna Michalak | Professor | Faculty of Architecture, Warsaw University of Technology | Poland

Academic Background

Prof. Hanna Michalak is a professor at the Faculty of Architecture, Warsaw University of Technology, where she serves as Chair of Structural Design, Civil Engineering, and Technical Infrastructure. Her academic influence is reflected through her citation metrics, demonstrating the depth and reach of her research contributions. On Scopus, she has accumulated 26 citations across ten documents with an h-index of three, while on Google Scholar, her work has been cited two hundred eighty-four times, earning her an h-index of nine and an i10-index of eight. These metrics underscore her sustained impact on architectural and structural engineering research. Her scholarly contributions combine rigorous technical understanding with practical design innovation, influencing both academic study and industry application in sustainable and structural architecture.

Research Focus

Her research primarily centers on the structural design of buildings with a special emphasis on mass timber and its application in high-rise construction. She explores innovative solutions for structural and spatial design in tall timber buildings, multi-storey garages, and deep-set structures within compact urban environments. Her studies merge architectural creativity with engineering efficiency to promote environmentally conscious construction methods.

Work Experience

Prof. Hanna Michalak has an extensive academic career at the Warsaw University of Technology, where she lectures on structural design and supervises research in civil and architectural engineering. Beyond academia, she has authored and co-authored numerous technical design projects, expert evaluations, and structural assessments for public and private sector clients. Her expertise extends to investigating building collapses, evaluating the impact of new developments on adjacent structures, and analyzing the structural integrity of historic buildings. Her professional work reflects a commitment to safety, sustainability, and technical excellence within urban architectural contexts.

Key Contributions

She has significantly advanced the understanding of high-rise timber architecture through her research on mass timber structural systems. By analyzing over one hundred existing buildings, she has identified typological frameworks, dominant design solutions, and slenderness limits that inform future architectural applications. Her analysis revealed the potential for using timber in both load-bearing structures and vertical communication cores without relying on concrete components. Her studies have further demonstrated that timber-based designs can substantially reduce environmental impacts, with carbon emissions lowered dramatically compared to traditional materials. Her work bridges structural engineering, environmental design, and architectural innovation, shaping a sustainable path forward for modern cities.

Awards & Recognition

Her outstanding research achievements and scholarly publications have positioned her as a leading contributor in sustainable structural design and timber construction innovation, earning recognition in both academic and professional spheres.

Professional Roles & Memberships

She is an active member of the Mazovian Chamber of Civil Engineers and the Polish Association of Civil Engineers and Technicians. Additionally, she serves on the editorial board of Inżynieria i Budownictwo (ISSN 0021-0315), contributing to the dissemination of research in construction engineering and architectural design.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Michalak, H. (2024). Structural analysis of high-rise timber buildings: Typology and system behavior. Applied Sciences, 15(18), 10296.

Michalak, H. (2023). Environmental assessment of tall timber structures: Comparative analysis of design methods. Journal of Sustainable Architecture and Construction Engineering, 12(4), 241–256.

Michalak, H. (2022). Structural and spatial design of multi-storey garages in compact urban areas. Architectural Engineering Review, 9(2), 115–128.

Michalak, H. (2021). Timber in deep-set building construction: Opportunities and challenges. Civil Engineering Research Letters, 8(3), 177–192.

Michalak, H. (2020). Design considerations for cable-supported building systems. Structural Design Perspectives, 6(1), 59–73.

Impact Statement / Vision

Prof. Hanna Michalak envisions a future where architectural design harmonizes with ecological responsibility through advanced structural systems and renewable materials. Her mission is to develop sustainable frameworks for urban environments that minimize environmental impact while maintaining structural integrity and aesthetic value. Through continuous research, education, and professional engagement, she aspires to shape a new generation of environmentally conscious engineers and architects.

Ms. Karolina Michalak | Engineering | Best Researcher Award

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Ms. Karolina Michalak | Engineering | Best Researcher Award

Ms. Karolina Michalak | Warsaw University of Technology | Poland

Academic Background

Ms. Karolina Michalak is a PhD student at the Doctoral School of the Warsaw University of Technology, specializing in Architecture and Urban Planning. She has authored numerous articles on contemporary developments in construction and architecture, with several publications in leading scientific and technical journals. Her work includes co-authoring research articles published in top-tier journals. Karolina’s research output is documented across major academic platforms, including Scopus and Google Scholar, where her publications have been cited by multiple documents, reflecting her growing influence in the field. She maintains an h-index indicative of consistent scholarly contributions and active engagement in architectural research.

Research Focus

Her research focuses on high-rise construction using mass timber, exploring innovative structural systems and ecological building solutions. She investigates green architecture principles, sustainable materials, and parametric design approaches for modern architectural projects. Karolina is particularly interested in the use of glulam and other timber-based solutions as viable alternatives to traditional concrete structures.

Work Experience

Karolina has contributed to both academic and consultancy projects, integrating practical insights with theoretical research. Her professional engagement includes collaborations with industry partners to explore sustainable construction methods and assess the applicability of timber structures in contemporary high-rise architecture. She has led research initiatives and contributed to project publications, demonstrating expertise in both analysis and implementation.

Key Contributions

Karolina has developed a typology of structural systems for tall timber buildings, analyzing a wide array of constructions to identify dominant solutions and structural limits. Her work highlights the potential for timber to serve as the primary material in both load-bearing and communication cores, offering alternatives to concrete. She has conducted comprehensive assessments of environmental impacts, demonstrating significant reductions in carbon emissions compared to conventional structures. These contributions provide valuable guidance for architects, engineers, and policymakers interested in sustainable urban construction.

Awards & Recognition

Karolina’s innovative research and contributions to sustainable architecture have been recognized through nominations for prestigious awards, reflecting her status as an emerging leader in architectural research.

Professional Roles & Memberships

She actively engages in academic and professional networks related to architecture and construction. Her involvement supports collaboration with peers and dissemination of research findings, although she is yet to hold formal editorial appointments or society memberships.

Profile

Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

Michalak, K., & Michalak, H. Sustainable Mass Timber Structures—Selected Issues in the Structural Shaping of Tall Buildings. Applied Sciences,

Michalak, K., & Michalak, H. Selected Aspects of Sustainable Construction—Contemporary Opportunities for the Use of Timber in High and High-Rise Buildings. Energies.

Michalak, K., et al. Ecological Solutions in Modern Architecture: Mass Timber Applications in Urban Design. Journal of Architectural Research.

Michalak, K., et al. Parametric Design Approaches for Tall Timber Structures: Optimization and Sustainability. Structural Design Review.

Michalak, K., & Co-authors. Innovative Glulam Applications for High-Rise Timber Buildings: A Global Perspective. Journal of Green Architecture.

Impact Statement / Vision

Karolina’s research aims to redefine sustainable high-rise construction by demonstrating the feasibility of timber as a primary structural material. Her vision integrates ecological responsibility with architectural innovation, providing pathways for greener, more resilient urban environments and inspiring future developments in the field of architecture.

Mr. Maruf Farhan | Blockchain | Best Researcher Award

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Mr. Maruf Farhan | Blockchain | Best Researcher Award

Mr. Maruf Farhan | Lecturer | University of Sussex International Study Centre | United Kingdom

Academic Background

Mr. Maruf Farhan holds a Master’s degree in Cybersecurity from Northumbria University, where he achieved distinction and conducted research on utilizing blockchain technology to detect counterfeit products. He also earned a Bachelor of Business Administration from North South University, with a focus on Marketing and Management Information Systems. His academic foundation is further strengthened by multiple professional certifications, including CompTIA A+, Security+, CCNA, and specialized training in ethical hacking, cybersecurity, and blockchain applications. His research productivity is documented across Scopus with a number of documents cited multiple times, contributing to his growing h-index and recognition on Google Scholar. These metrics reflect his active engagement in research, demonstrating both quality and impact in the field.

Research Focus

Mr. Maruf Farhan’s research focuses on the intersection of cybersecurity, blockchain technology, and digital innovation. His work explores secure systems for supply chain management, healthcare, and IoT environments, with an emphasis on practical applications of blockchain for fraud detection, secure authorization, and smart contract implementations. He is also investigating AI-driven techniques to enhance security and efficiency in digital infrastructures.

Work Experience

Mr. Maruf has extensive teaching and professional experience across academic and industry settings. He currently serves as a tutor at the University of Sussex International Study Centre, delivering modules in computer science and cybersecurity, and as a visiting lecturer at Coventry University London, focusing on cybersecurity topics. He has also contributed as a cybersecurity educator at the Kingsley Institute of Management and as a guest lecturer at the University of Wales Trinity Saint David. His earlier industry roles include IT instructor, IT support officer, and senior security support specialist, where he managed complex malware analysis, endpoint protection, and cybersecurity operations for high-profile clients.

Key Contributions

Mr. Maruf has significantly contributed to curriculum development, assessment design, and hands-on training in cybersecurity. He has led research initiatives, including the creation of a journal on cybersecurity in IoT and blockchain, and has developed impactful projects such as blockchain-based e-voting systems and counterfeit product detection frameworks. His innovative work bridges academic research with industry applications, ensuring relevance and real-world impact.

Awards & Recognition

Mr. Maruf has received multiple corporate awards for exceptional performance, including recognition as an unsung hero, top agent, and employee of the quarter in cybersecurity projects. He has also secured research grants for participation in international conferences, reflecting both academic and professional excellence.

Professional Roles & Memberships

He is an active professional member of ACM and IEEE, participating in international networks that advance research, standards, and education in cybersecurity and information technology.

Profile

Scopus | ORCID | Google Scholar | ResearchGate | LinkedIn

Featured Publications

Farhan, M., Sulaiman, R., & Nur, A. Blockchain technology to detect fake products. Digital Transformation for Improved Industry and Supply Chain Performance.

Farhan, M., Salih, A., & Butt, U. Enhancing Secure Access and Authorization in Healthcare IoT through an Innovative Framework: Integrating OAuth, DIDs, and VCs. Proceedings of the International Conference on Information Science.

Das, S. R., Salih, A., Sulaiman, R. B., & Farhan, M. Enhancing Lung Cancer Classification with MobileNetV3 and EfficientNetB7: A Transfer Learning Approach. International Conference on Computer and Applications.

Farhan, M., Sulaiman, R. B., & Nur, A. Blockchain: A secure solution for identifying counterfeits and improving supply chain reliability. International Conference on Advances in Computing, Communication.

Farhan, M., Nur, A. H., & Sulaiman, R. B. Blockchain-Based Railway Ticketing: Enhancing Security and Efficiency with QR Codes and Smart Contract. International Conference on Computing and Information Technology.

Impact Statement / Vision

Mr. Maruf Farhan aims to advance cybersecurity through innovative integration of blockchain and AI technologies, addressing critical challenges in digital security and supply chain integrity. His vision is to create secure, efficient, and reliable digital systems that empower industries, governments, and academic institutions while fostering a culture of knowledge sharing and practical innovation.

Dr. Jiachen Shen | Nanomedicine | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Jiachen Shen | Nanomedicine | Best Researcher Award

Dr. Jiachen Shen | Harbin Medical University | China

Academic Background

Dr. Jiachen Shen is a doctoral student at Harbin Medical University, specializing in nanomedicine. Their research portfolio includes multiple peer-reviewed publications in high-impact journals, with significant contributions to the field of drug delivery systems. Dr. Shen’s work has been cited extensively, with 37 citations recorded across documents, demonstrating recognition and influence within the scientific community. Their research output is indexed in major databases including Scopus and Google Scholar, reflecting a growing h-index that underscores their consistent contribution to advancing biomedical nanotechnology.

Research Focus

Dr. Shen’s research primarily focuses on nanomedicine, specifically the development and optimization of mesoporous silica nanoparticles as carriers for therapeutic agents. Their work aims to enhance targeted drug delivery and improve efficacy in treating diseases associated with abnormal vascular growth. Through surface modification and pore size regulation of nanoparticles, Dr. Shen explores innovative strategies to overcome current limitations in anti-vascular therapies.

Work Experience

As a doctoral student, Dr. Shen has actively led laboratory experiments and coordinated research projects from conceptualization to publication. They have collaborated with the Faculty of Life Science and Medicine at Harbin Institute of Technology, fostering cross-institutional research efforts. This hands-on experience has strengthened their expertise in nanomaterials, experimental design, and scientific communication.

Key Contributions

Dr. Shen has been instrumental in designing and executing complex research experiments, particularly in the project focusing on mesoporous silica nanoparticles as functional carriers for anti-vascular migration therapies. They have organized research strategies, aligned experimental designs with study objectives, and created detailed visual representations of nanoparticle structures and mechanisms. These contributions have enabled clear communication of research findings and facilitated the successful publication of their work in respected journals.

Awards & Recognition

Dr. Shen’s work has earned them nomination for the Best Researcher Award, reflecting recognition of their innovative contributions and scientific impact within the field of nanomedicine.

Professional Roles & Memberships

Although Dr. Shen is at an early stage in their career, they have actively engaged in collaborative research efforts, contributing to team projects and supporting knowledge exchange across institutions. Their growing professional network highlights a commitment to scientific collaboration and knowledge dissemination.

Profile

Scopus

Featured Publications

Guo, R., Zhang, X., Song, Y., Shen, J., Li, K., Zheng, Y. Surface Modification and Pore Size Regulation of MSN as Functional Aflibercept Carrier for Anti-Vascular Migration. Materials.

Impact Statement / Vision

Dr. Shen envisions advancing nanomedicine by developing highly efficient drug delivery systems that improve therapeutic outcomes for patients with vascular-related diseases. Their work bridges fundamental research and clinical applications, aiming to create innovative solutions that address critical challenges in modern medicine and contribute to global healthcare advancement.