Maksym Lazirko | Blockchain | Blockchain Innovator Award

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Assist. Prof. Dr. Maksym Lazirko | Blockchain | Blockchain Innovator Award

Rutgers University | United States

Assist. Prof. Dr. Maksym Lazirko is a multidisciplinary academic and researcher with expertise spanning management science, accounting information systems, data analytics, and computer science. He holds a doctoral degree in Management with a strong research focus on cryptocurrency exchanges, financial technologies, and information systems governance. His academic and professional experience includes teaching, research assistance, server administration, and systems management within a major research university environment. Dr. Lazirko combines advanced skills in data analytics, cloud computing, programming, and geospatial technologies with hands-on hardware engineering and cybersecurity tools. His work bridges theory and practice, emphasizing technological transformation, applied analytics, and innovation-driven research across education, industry, and emerging digital ecosystems.

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Sara Exojo Trujillo | Data Science | Research Excellence Award

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Mrs. Sara Exojo Trujillo | Data Science | Research Excellence Award

University of Valencia | Spain

Mrs. Sara Exojo Trujillo is a chemist and research scientist specializing in environmental chemistry, food safety, and advanced analytical techniques. Her work focuses on microplastics, emerging contaminants, and their interactions, adsorption behavior, and toxicological impacts across water, soil, and biological systems. She has strong expertise in instrumental analysis, nanomaterials, polymer characterization, and trace-level contaminant detection using chromatographic and spectroscopic techniques. Her research integrates analytical chemistry, toxicology, and materials science to address environmental pollution and public health challenges. She has also gained international research experience, contributing to multidisciplinary studies on microplastic toxicity in aquatic organisms and ecological models.

Citation Metrics (Scopus Preview)

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Laura Higueras Contreras | Data Science | Research Excellence Award

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Dr. Laura Higueras Contreras | Data Science | Research Excellence Award

Instituto de Agroquímica y Tecnología de Alimentos | Spain

Dr. Laura Higueras Contreras is an accomplished food and pharmaceutical scientist with a strong interdisciplinary background in Food Science, Pharmacy, and active packaging technologies. She earned dual undergraduate degrees in Food Science and Technology and Pharmacy from the University of Valencia, achieving excellent academic performance and receiving Extraordinary Awards in recognition of her achievements. She completed advanced postgraduate training at the same institution and obtained her Ph.D. in Food Science with the highest academic distinction and international recognition. Her scientific career has been closely associated with the Institute of Agrochemistry and Food Technology (IATA-CSIC), where she has worked as a predoctoral fellow and contracted researcher, developing extensive expertise in polymeric and hybrid materials for food packaging applications. Her research focuses on antimicrobial systems, controlled release of active compounds, nanostructured materials, and bio-based packaging, addressing key challenges related to food safety, shelf-life extension, and sustainability. Dr. Higueras Contreras has actively participated in multiple international, national, and regional R&D projects, collaborating with academic institutions and industrial partners, and contributing to experimental development, data analysis, and technical reporting. In parallel with her research activities, she serves as an Associate Professor in Preventive Medicine, Public Health, Food Science, Toxicology, and Legal Medicine at the University of Valencia, where she integrates research-driven knowledge into teaching. Her scientific output includes impactful peer-reviewed publications, notably “Silver ions release from antibacterial chitosan films containing in situ generated silver nanoparticles” in the Journal of Agricultural and Food Chemistry, reflecting her contribution to the advancement of antimicrobial food packaging materials.

Citation Metrics (Scopus Preview)

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Rafael Gavara | Sustainable Technology | Best Innovation Award

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Dr. Rafael Gavara | Sustainable Technology | Best Innovation Award

Research Professor | IATA-CSIC | Spain

Dr. Rafael Gavara is a Research Professor at the Instituto de Agroquímica y Tecnología de Alimentos (IATA-CSIC) whose work focuses on food packaging science, active and bioactive packaging, and food shelf-life extension. His research explores polymeric and biodegradable materials, nanocomposites, and protein-based films designed to improve food quality, safety, and stability. He has made major contributions to antioxidant and antimicrobial packaging technologies, encapsulation of active compounds, and migration phenomena in packaging materials. With highly cited publications, his work bridges materials science and food technology, supporting sustainable packaging solutions and healthier, longer-lasting food products.

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15,889

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71

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Gang Ouyang | Electronics | Research Excellence Award

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Prof. Dr. Gang Ouyang | Electronics | Research Excellence Award

Professor | Hunan Normal University | China

Prof. Dr. Gang Ouyang is a materials physicist whose research focuses on low-dimensional materials, altermagnetic systems, and advanced optoelectronic devices. His work integrates first-principles calculations, symmetry engineering, and electronic structure analysis to uncover novel spin, valley, and charge-transport phenomena in two-dimensional and layered materials. He has made significant contributions to photodetectors, van der Waals heterostructures, Janus materials, and multifunctional optoelectronic applications, addressing challenges in imaging, optical communication, and energy conversion. Through high-impact publications, his research advances the fundamental understanding of quantum-confined effects and provides theoretical guidance for next-generation nanoelectronic and photonic technologies.

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3,184

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Guangkun Ma | Information Technology | Best Researcher Award

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Dr. Guangkun Ma | Information Technology | Best Researcher Award

Lecturer | Shenyang University of Technology | China

Dr. Guangkun Ma is a researcher specializing in intelligent transportation systems, road network analysis, and graph-based machine learning. His work focuses on developing advanced algorithms for heterogeneous road network matching, spatial data integration, and structural representation learning. By combining graph neural networks with multi-source geospatial data, his research enhances the accuracy, robustness, and scalability of road network alignment and mapping. His contributions address practical challenges in urban computing, smart mobility, and geographic information systems, supporting applications such as high-precision navigation, urban planning, and intelligent traffic management. His studies are published in international, peer-reviewed, Scopus-indexed journals, reflecting growing impact in transportation data science.

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Akriti Gupta | Artificial Intelligence | Women Researcher Award

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Dr. Akriti Gupta | Artificial Intelligence | Women Researcher Award

Assistant Professor | IIBS | India

Dr. Akriti Gupta’s research focuses on the application of artificial intelligence and advanced analytical techniques to understand human behavior within organizational and business contexts. Her work integrates decision sciences, organizational psychology, and data-driven modeling to examine factors influencing employee behavior, workplace performance, and managerial effectiveness. By employing comparative machine learning and statistical approaches, she contributes to evidence-based insights that support improved organizational outcomes and policy formulation. Her publications in Scopus-indexed journals reflect an interdisciplinary orientation, combining theory with practical relevance. Overall, her research advances the use of AI-enabled methods for behavioral analysis, supporting innovation in management practices and organizational decision-making.

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Shah Noor | Photocatalysis | Outstanding Research and Development Award

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Dr. Shah Noor | Photocatalysis | Outstanding Research and Development Award

Dr. Shah Noor | Jilin University | China

Dr. Shah Noor is an emerging materials and environmental science researcher whose work focuses on advanced photocatalysis, sustainable energy technologies, and innovative environmental remediation solutions. His notable contributions include the development of oxygen-vacancy–mediated single-unit-cell Bi₂WO₆ nanostructures via Ti doping, demonstrating significantly enhanced photocatalytic activity for degradation of pollutants, which has been well recognized within the materials science community. He has also produced influential research on MXenes as a next-generation class of two-dimensional materials with exceptional promise for photocatalytic applications, offering new pathways for clean energy generation and environmental purification. His interdisciplinary portfolio extends into pioneering studies on water splitting and lithium-ion batteries, addressing global demands for high-efficiency renewable energy storage and conversion technologies. Additionally, he has participated in the design and synthesis of new dihydropyridine- and benzylideneimine-based tyrosinase inhibitors, contributing to targeted pharmaceutical development. His environmental science work assessing heavy metal contamination and phytoremediation strategies in groundwater demonstrates a strong commitment to tackling real-world sustainability challenges. Dr. Noor’s research consistently blends advanced material innovation with societal impact, highlighting applications ranging from clean water and energy to healthcare and ecological restoration. Across his publications in reputable international journals, he leverages multidisciplinary approaches, collaborative research, and modern experimental methods to deliver scientific outcomes with direct industrial and environmental relevance. Dr. Noor’s strong momentum in impactful research positions him as a valuable contributor to global efforts in developing sustainable solutions and advancing cutting-edge technologies that support a cleaner and healthier future.

Profile: Google Scholar

Featured Publications

Arif, M., Zhang, M., Mao, Y., Bu, Q., Ali, A., Qin, Z., Muhmood, T., Liu, X., Zhou, B., … Shah, N. (2021). Oxygen vacancy mediated single unit cell Bi₂WO₆ by Ti doping for ameliorated photocatalytic performance. Journal of Colloid and Interface Science, 581, 276–291.

Shah, N., Wang, X., & Tian, J. (2023). Recent advances in MXenes: A promising 2D material for photocatalysis. Materials Chemistry Frontiers, 7(19), 4184–4201.

Hashmi, S. M., Noor, S., & Parveen, W. (2025). Advances in water splitting and lithium-ion batteries: Pioneering sustainable energy storage and conversion technologies. Frontiers in Energy Research, 12, 1465349.

Ahmad, I., Parveen, W., Noor, S., Udin, Z., Ali, A., Ali, I., Ullah, R., & Ali, H. (2024). Design and synthesis of novel dihydropyridine- and benzylideneimine-based tyrosinase inhibitors. Frontiers in Pharmacology, 15, 1332184.

Khan, S., Kamal, M., Noor, S., & Afzal, S. M. (2024). Assessment of heavy metals and its treatment through phytoremediation in groundwater along River Kabul in district Charsadda. Frontiers in Environmental Science, 12, 1392892.

Bikram Das | Power Electronics | Research Excellence Award

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Dr. Bikram Das | Power Electronics | Research Excellence Award

Assistant Professor | NIT Agartala | India

Dr. Bikram Das has made notable research contributions in power electronics, renewable energy conversion systems, and smart grid technologies, demonstrating a clear focus on improving efficiency, reliability, and power quality in modern energy infrastructures. His scholarly work includes impactful publications in prominent international journals such as the IEEE Transactions on Industry Applications, where he co-authored an advanced 11-level grid-interactive hybrid inverter topology designed for medium-voltage applications. This innovation supports enhanced energy conversion processes and improved integration of renewable energy into electrical networks. His contributions to photovoltaic (PV) energy systems are evidenced through the development and validation of an improved perturb-and-observe MPPT algorithm, which optimizes solar energy extraction under varying environmental conditions. Additionally, he has collaborated on research involving TSBC converters integrated with battery energy storage systems to advance DFIG-based wind energy conversion systems, improving system efficiency and operational stability. His work addressing power quality challenges through D-STATCOM analysis further reflects his strong engagement with distribution network enhancement solutions. Several conference contributions also highlight complementary research on inverter topologies and smart grid power electronics. Across his research portfolio, Dr. Das demonstrates technical depth, interdisciplinary collaboration, and a commitment to advancing technologies that align with global clean energy transition goals. His publications collectively showcase his ability to address key engineering challenges associated with renewable energy integration and highlight his strengths in applied research that has direct industrial and societal relevance, positioning him as a promising contributor to advancements in modern sustainable power systems.

Profile: Google Scholar

Featured Publications

N. Panda, Das, B., Chakrabarti, A., Kasari, P. R., Bhattacharya, A., & Chatterjee, D. (2020). A new grid‐interactive 11‐level hybrid inverter topology for medium‐voltage application. IEEE Transactions on Industry Applications, 57(1), 869–881.

Das, B., Jamatia, A., Chakraborti, A., Kasari, P. R., & Bhowmik, M. (2012). New perturb and observe MPPT algorithm and its validation using data from PV module. International Journal of Advances in Engineering & Technology, 4(1), 579–587. (Page range added based on standard format)

Das, A., Kar, A. K., Kumar, C., Kumar, U., Verma, A., Pal, S., Joseph, A., & Das, B. (2020). TSBC converter with BESS for DFIG‐based wind energy conversion system. IEEE Transactions on Industry Applications, 56(6), 6158–6173.

Kasari, P. R., Paul, M., Das, B., & Chakraborti, A. (2017). Analysis of D‐STATCOM for power quality enhancement in distribution network. In 2017 IEEE Region 10 Conference (TENCON) (pp. 1421–1426). IEEE.

Panda, N., Das, B., Kasari, P. R., & Chakrabarty, A. (2020). A developed eleven‐level inverter topology for medium‐voltage application. In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE) (pp. 1–6). IEEE.

Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

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Mr. Saber Arabi Nowdeh | Renewable energy | Research Excellence Award

Mr. Saber Arabi Nowdeh | Golestan vocational and technical training center, gorgan. | Iran

Mr. Saber Arabi Nowdeh is a highly impactful researcher in the field of renewable energy systems, with a strong focus on hybrid power generation, distributed energy planning, and optimization-based reliability enhancement for modern power grids. His research extensively explores the integration and optimal sizing of photovoltaic, wind, and fuel cell technologies to achieve reliable, cost-efficient, and sustainable standalone energy solutions, particularly in off-grid and future low-carbon infrastructures. He has developed and applied advanced meta-heuristic and hybrid optimization techniques, including ant lion optimization, fuzzy multi-objective decision methods, and hybrid meta-heuristic algorithms, to enhance system efficiency, improve power quality, reduce energy losses, and increase reliability indices such as LOEE and LOLE. His publications in well-recognized journals including Renewable Energy, Journal of Cleaner Production, Applied Soft Computing, and Environmental Technology & Innovation demonstrate both strong academic recognition and the practical relevance of his contributions. With several of his research articles achieving high citation counts, his work is widely acknowledged by the global scientific community and frequently used as a foundational reference in designing resilient renewable energy systems. His studies have also expanded knowledge in strategic allocation of distributed generation resources, addressing load interruption probability, and strengthening the reliability of smart distribution networks. Overall, his ongoing research continues to advance cutting-edge solutions for integrating clean energy sources into future power systems, supporting global sustainability goals and strengthening the scientific basis for innovative energy technologies.

Profile: ORCID | Google Scholar | ResearchGate

Featured Publications

Moghaddam, M. J. H., Kalam, A., Nowdeh, S. A., Ahmadi, A., & Babanezhad, M. (2019). Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower … Renewable Energy, 135, 1412–1434.

Jahannoosh, M., Nowdeh, S. A., Naderipour, A., Kamyab, H., & Davoudkhani, I. F. (2021). New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability. Journal of Cleaner Production, 278, 123406.

Nowdeh, S. A., Davoudkhani, I. F., Moghaddam, M. J. H., Najmi, E. S., & Abdelaziz, A. Y. (2019). Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method. Applied Soft Computing, 77, 761–779.

Hadidian-Moghaddam, M., Arabi-Nowdeh, S., Bigdeli, M., & Azizian, D. (2018). A multi-objective optimal sizing and siting of distributed generation using ant lion optimization technique. Ain Shams Engineering Journal, 9(4), 2101–2109.

Jafar-Nowdeh, A., Babanezhad, M., Arabi-Nowdeh, S., & Naderipour, A. (2020). Meta-heuristic matrix moth–flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability. Environmental Technology & Innovation, 20, 101118.