Jia Jinlong | Engineering | Research Excellence Award

Published on by Global Scholar Awards

Assoc. Prof. Dr. Jia Jinlong | Engineering | Research Excellence Award

Head of the Mining Department | Wuhan Institute of Technology | China

Dr. Jinlong Jia is a researcher at the Lanzhou Institute of Technology, China, specializing in coal engineering, gas extraction technologies, and energy-related geomechanics with a focus on improving safety, efficiency, and sustainability in coal mining operations. With 24 scientific publications, 434 citations, and an h-index of 12, he has established a strong research profile in the fields of coal pore structure evolution, borehole optimization, and fluid–rock interactions under complex geological conditions. His recent work includes developing numerical simulation models to quantitatively evaluate effect factors in multi-branch pinnate borehole gas extraction in high-gas thick coal seams, and investigating the influence of CO₂–H₂O interaction time on coal pore morphology and water migration, published in Energy and already earning citations for its contributions to clean energy and mine safety. Dr. Jia’s research integrates computational modeling, experimental coal chemistry, and engineering applications to address critical challenges in methane extraction, gas-solid coupling mechanisms, and geological hazard prevention. Over his career, he has collaborated with more than 67 co-authors, demonstrating extensive engagement in multidisciplinary and multi-institutional research teams working across geology, mining engineering, and energy science. His findings contribute to national and global efforts toward safer mining environments, enhanced gas utilization, reduced greenhouse gas emissions, and improved resource recovery efficiency. Through advancing both theoretical understanding and practical solutions in coalbed methane extraction and pore-scale mechanisms, Dr. Jia continues to play a significant role in supporting sustainable energy development and improving engineering practices within the mining and geoscience sectors.

Profile: Scopus 

Featured Publications

Zhu, X., Jia, J., Zhang, L., Ma, Z., Qin, Z., Zhang, H., & Liu, Z. (2025). Study on the numerical simulation model for quantitative evaluation on effect factors of multi‑branch pinnate borehole gas extraction in high‑gas thick coal seams. Himalayan Geology, 46(2), 125–135.

Xu, H., Hu, J., Liu, H., Ding, H., Zhang, K., Jia, J., Fang, H., & Gou, B. (2024). Effect of the interaction time of CO₂–H₂O on the alterations of coal pore morphologies and water migration during wetting. Energy, 294, Article 130944. https://doi.org/10.1016/j.energy.2024.130944

Wenguang Song | Software Development | Best Researcher Award

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Prof. Dr. Wenguang Song | Software Development | Best Researcher Award

Educator at Guangdong Ocean University, China

Professor Song Wenguang is a highly accomplished researcher and academic in the fields of software engineering, petroleum software technology, and big data analysis. With a strong background in computer science, he has built an impressive career that bridges theory, applied research, and industrial innovation. His work has been pivotal in developing software systems and interpretation methods for production logging, which are essential for petroleum exploration and resource management. Beyond petroleum-focused research, he has also contributed to interdisciplinary domains such as artificial intelligence for medical prediction and digital watermarking-based plagiarism detection. His professional journey reflects an ability to integrate computing technologies into critical industrial and societal applications, underscoring his reputation as a versatile and impactful scholar. Through his participation in national and provincial projects and his extensive publication record in Scopus-indexed journals and IEEE conferences, he has established a strong academic and industrial presence, contributing meaningfully to both research and society.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Professor Song Wenguang pursued his academic training with a focus on computer science and engineering, steadily building his expertise through undergraduate, postgraduate, and doctoral studies. He completed his Bachelor of Engineering in Computer Science and Technology at Jianghan Petroleum University, establishing a strong foundation in computing and its applications to industrial technologies. He continued his studies with a Master’s degree in Computer Application Technology at Yangtze University, where he deepened his technical skills in applied software systems and information processing. His academic journey culminated with a Doctor of Engineering in Geodetection and Information Technology, also at Yangtze University, equipping him with specialized knowledge in computational methods for petroleum software technologies and logging interpretation. This educational progression highlights his commitment to advancing both the theoretical and applied aspects of computer science. His formal education has prepared him to contribute to complex, interdisciplinary challenges and foster innovation in both academic and industrial domains.

Experience

Professor Song Wenguang has accumulated extensive professional and research experience that blends academic teaching, research leadership, and industrial collaboration. As a professor at the School of Computer Science and Engineering, Guangdong Ocean University, he has contributed significantly to higher education, mentoring students and leading research initiatives in computer science and petroleum technologies. His experience includes active involvement in numerous large-scale projects funded by national and provincial agencies, as well as collaborations with major corporations such as the China National Petroleum Corporation, China National Offshore Oil Corporation, and China Oilfield Services Limited. In these roles, he has driven advancements in oilfield data interpretation, multiphase flow simulation, and logging technologies, showcasing his ability to translate academic knowledge into real-world industrial solutions. His career also reflects active participation in cross-disciplinary initiatives, including medical prediction systems and AI-based solutions, demonstrating his versatility as a researcher. Collectively, his experience underscores his leadership and innovative capacity in both academia and industry.

Research Interest

Professor Song Wenguang’s research interests encompass a broad spectrum of computer science applications, with a primary focus on software engineering, petroleum software technology, and big data analysis. He has made substantial contributions to the development of methodologies and software tools for production logging interpretation, which are vital for optimizing petroleum engineering processes and resource management. His work extends into artificial intelligence, particularly the use of neural networks for medical data prediction, which demonstrates the adaptability of computational approaches to healthcare challenges. Additionally, he has explored digital watermarking and neural networks for anti-plagiarism detection, reflecting his engagement with issues of academic integrity in the digital era. His interdisciplinary approach highlights his commitment to applying computer science not only to traditional industrial fields but also to emerging domains. By integrating big data techniques with engineering applications, he continues to push the boundaries of research, offering innovative solutions to both scientific and societal needs.

Awards and Honors

Throughout his academic and professional journey, Professor Song Wenguang has earned recognition for his significant contributions to research, education, and industry collaborations. His leadership in multiple government-funded and industry-supported projects has positioned him as a key contributor to advancements in petroleum logging software and computational technologies. While specific award details are not provided, his extensive list of successfully completed projects with leading organizations such as CNPC, CNOOC, and China Oilfield Services Limited reflects the high level of trust and acknowledgment he has received within the energy sector. His publication record in prestigious international journals and conferences, including Scopus and IEEE, further demonstrates his recognition in the global academic community. As a professor, his role in advancing student research and building academic-industry collaborations can also be considered a form of academic honor, showcasing his influence in shaping future researchers. His career achievements reflect ongoing professional acknowledgment and respect within his fields of expertise.

Research Skills

Professor Song Wenguang possesses a diverse set of research skills that span both theoretical and applied domains in computer science and engineering. He is skilled in software design and development for petroleum applications, including production logging interpretation and multiphase flow analysis, which require advanced computational modeling and algorithmic thinking. His expertise in big data analysis allows him to process and interpret complex datasets, contributing to solutions for resource optimization and predictive modeling. In addition, he is proficient in artificial intelligence and machine learning techniques, applying neural networks to areas such as medical prediction and intelligent decision systems. His work on digital watermarking and plagiarism detection further showcases his technical innovation in data security and academic integrity. Professor Song’s ability to collaborate across large-scale industrial projects demonstrates his strong project management and problem-solving capabilities. These skills collectively highlight his capacity to deliver impactful research outcomes that benefit both academia and industry.

Publication Top Notes

Title: Optimization of steel plate quality inspection driven by PscSE and SPPFELAN
Journal: Microwave and Optical Technology Letters
Year: 2024

Title: Pumping machine fault diagnosis based on fused RDC-RBF
Journal: PLOS ONE
Year: 2023
Citations: 2

Conclusion

Professor Song Wenguang is a highly deserving candidate for the Best Researcher Award. His significant contributions to software engineering, petroleum software technology, and big data applications have advanced both academic research and industrial practice. His leadership in multiple large-scale projects, strong record of publications, and interdisciplinary expertise showcase his capacity to impact society through innovation and knowledge transfer. With continued international collaborations and visibility in global scientific communities, Professor Song is well-positioned to further elevate his contributions and inspire future generations of researchers.

Andrzej Augustynowicz | Engineering | Best Researcher Award

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Mr. Andrzej Augustynowicz | Engineering | Best Researcher Award

Professor at Opole University of Technology, Poland

Dr. Andrzej Augustynowicz is a highly accomplished University Professor at the Opole University of Technology, specializing in automotive engineering and vehicle mechatronics. His academic and professional career is marked by a strong focus on energy systems in vehicles, hybrid propulsion, driver behavior modeling, and advanced vehicle diagnostics. He has contributed extensively to both theoretical research and practical applications through experimental studies, computational simulations, and diagnostic analyses that address challenges in energy efficiency, traffic safety, and sustainable mobility. His research is published in internationally indexed journals and presented at reputed conferences, strengthening the global understanding of modern automotive systems. Alongside his research, he is an active mentor, doctoral supervisor, and reviewer of scientific works, playing a key role in developing the next generation of researchers. His contributions extend beyond academia through his involvement in professional societies and initiatives in electromobility and continuing engineering education.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Dr. Andrzej Augustynowicz has pursued a distinguished academic path culminating in a habilitation degree in engineering, positioning him as a recognized authority in the field of automotive research. His educational background combines a rigorous foundation in mechanical and automotive engineering with advanced specialization in mechatronics of vehicles and machines. Over the course of his academic development, he has gained deep expertise in energy systems, mathematical modeling, vehicle dynamics, and hybrid technologies. His education has enabled him to bridge theoretical and applied perspectives, equipping him to conduct impactful experimental research and computational studies that contribute to both academia and industry. Through his advanced qualifications, he is not only able to lead complex research projects but also to mentor doctoral candidates, design innovative curricula, and serve as a reviewer of scientific dissertations. His education reflects both depth and breadth, supporting a career dedicated to advancing sustainable and intelligent mobility solutions.

Experience

Professor Augustynowicz holds an esteemed academic position at the Department of Vehicle and Machine Mechatronics, where he combines research, teaching, and academic leadership. His experience includes supervising doctoral and postgraduate theses in the fields of energy systems, vehicle diagnostics, and hybrid drive technologies. He has contributed to numerous collaborative research initiatives and co-authored impactful studies with national and international partners, underscoring his active engagement in global academic networks. Beyond supervision, he has served as a reviewer of doctoral dissertations and scientific works in automotive engineering and internal combustion systems, thereby ensuring the quality and rigor of scholarly contributions in his domain. His experience also spans leadership in continuing education programs, where he develops and promotes courses in electromobility and sustainable transportation technologies. With a career blending research, teaching, and academic service, he has established himself as a versatile expert committed to innovation, mentorship, and advancing the engineering profession.

Research Interest

Dr. Augustynowicz’s research interests cover a wide spectrum of topics within automotive and mechanical engineering, with a particular emphasis on sustainable energy systems and driver–vehicle interactions. His studies focus on automotive engines as energy systems, hybrid drive mechanisms, and mathematical modeling of driver behavior in regulating vehicle systems. He has conducted both experimental investigations—such as bench and road analysis of spark-ignition engines—and computational simulations to optimize vehicle performance and safety. His work also extends to traffic safety, accident reconstruction, and diagnostic systems for vehicles, all of which contribute to reducing environmental impacts and improving reliability. A strong interdisciplinary focus characterizes his approach, integrating mechanical design, human factors, energy efficiency, and advanced diagnostics. His interest in emerging areas such as electromobility and intelligent energy assistance systems highlights his vision for future-oriented automotive engineering. Collectively, his research interests reflect a dedication to innovation, sustainability, and road safety in transportation systems.

Award and Honor

Throughout his career, Dr. Augustynowicz has received recognition for his academic and research contributions in automotive engineering. His publications in high-impact journals indexed in Scopus, MDPI, and other international platforms stand as a testament to the quality and originality of his research. He has collaborated with leading researchers in Europe and contributed to cross-border projects, earning respect in the international research community. His role as a doctoral supervisor and reviewer of theses has also been acknowledged as a valuable service to higher education and scientific advancement. Membership in esteemed professional societies such as the Polish Scientific Society of Combustion Engines reflects the recognition of his expertise by peers in the field. His involvement in continuing education initiatives in electromobility has further demonstrated his commitment to knowledge dissemination. These achievements underline his professional stature and reinforce his position as a deserving candidate for academic and research awards.

Research Skills

Dr. Andrzej Augustynowicz possesses a diverse set of advanced research skills that have shaped his academic and professional success. He is proficient in experimental techniques for analyzing automotive energy systems, including road and laboratory testing of powertrains, hybrid systems, and diagnostic applications. His computational expertise allows him to conduct mathematical modeling of driver behavior and vehicle dynamics, as well as simulations for energy management and speed control. These capabilities enable him to link theory with practical application, offering comprehensive solutions to complex engineering challenges. He is skilled in project leadership, having contributed to collaborative research initiatives and interdisciplinary investigations. In addition, he has strong academic supervision skills, guiding doctoral and postgraduate students through advanced research topics. His ability to critically review scholarly works, contribute to curriculum development, and support continuing education reflects his versatility. These combined skills highlight him as a research leader with significant impact on academia and industry alike.

Publication Top Notes

Title: Evaluation of the Quality of Welded Joints After Repair of Automotive Frame Rails
Authors: Andrzej Augustynowicz, Mariusz Prażmowski, Wiktoria Wilczyńska, Mariusz Graba
Year: 2025
Journal: Materials

Title: Analysis of Passenger Car Powertrain System Measurements in Road Conditions
Authors: Andrzej Bieniek, Mariusz Graba, Jarosław Mamala, Andrzej Augustynowicz, Michał Szczepanek
Year: 2023
Journal: Combustion Engines

Title: Assessment of Energy Demand for PHEVs in Year-Round Operating Conditions
Authors: Mariusz Graba, Jarosław Mamala, Andrzej Bieniek, Andrzej Augustynowicz, Krystian Czernek, Andżelika Krupińska, Sylwia Włodarczak, Marek Ochowiak
Year: 2023
Journal: Energies

Title: The Concept of Using an Expert System and Multi-Valued Logic Trees to Assess the Energy Consumption of an Electric Car in Selected Driving Cycles
Authors: Adam Deptuła, Andrzej Augustynowicz, Michał Stosiak, Krzysztof Towarnicki, Mykola Karpenko
Year: 2022
Journal: Energies

Title: Study of Energy Consumption of a Hybrid Vehicle in Real-World Conditions
Authors: Jarosław Mamala, Mariusz Graba, Andrzej Bieniek, Krzysztof Prażnowski, Andrzej Augustynowicz, Michal Smieja
Year: 2021
Journal: Eksploatacja i Niezawodnosc – Maintenance and Reliability

Title: Evaluation of Applicability of Dielectric Constant in Monitoring Aging Processes in Engine Oils
Authors: Leszek Gomółka, Andrzej Augustynowicz
Year: 2019
Journal: Eksploatacja i Niezawodnosc – Maintenance and Reliability

Title: Preliminary Evaluation Research of a Powertrain System with Electrically Controlled Planetary Gear
Authors: Andrzej Lechowicz, Andrzej Augustynowicz
Year: 2018
Journal: International Journal of Vehicle Design

Title: Identification of Static Unbalance Wheel of Passenger Car Carried Out on a Road
Authors: Krzysztof Prażnowski, Sebastian Brol, Andrzej Augustynowicz
Year: 2014
Journal: Solid State Phenomena (SSP)

Conclusion

In summary, Dr. Andrzej Augustynowicz’s extensive expertise in vehicle energy systems, hybrid technologies, and driver behavior modeling, combined with his strong record of research, publication, and academic mentorship, make him a highly deserving candidate for the Best Researcher Award. His scholarly contributions have advanced the fields of automotive diagnostics, hybrid drive systems, and road safety, while his leadership in education has nurtured future engineering innovators. With continued growth in international collaborations and high-impact publications, he has the potential to play an even greater role in shaping the future of sustainable mobility and research excellence.

CHENGZU DONG | Computer Science | Best Researcher Award

Published on by Global Scholar Awards

Prof . CHENGZU DONG | Computer Science | Best Researcher Award

Assistant Professor at Lingnan University , Hong Kong

Dr. Chengzu Dong is a highly accomplished early-career researcher specializing in cybersecurity, AI, blockchain, IoT, UAVs, and edge computing. Currently an Assistant Professor at Lingnan University, he has published over 30 peer-reviewed papers in prestigious Q1 journals and Core A/A* conferences, showcasing his strong research productivity and interdisciplinary expertise. His collaborations with CSIRO and industry partners reflect a robust blend of academic rigor and applied impact. Dr. Dong has received multiple accolades, including best paper awards, hackathon honors, and scholarships, highlighting his innovation and leadership potential. In addition to research, he has made significant contributions to teaching, mentoring, and curriculum development across several international institutions. While he could further enhance his profile through principal investigator roles and broader international visibility, his achievements and contributions make him a strong candidate for the Best Researcher Award, particularly in emerging areas of intelligent systems, secure computing, and next-generation network technologies.

Professional Profile 

Education🎓

Dr. Chengzu Dong has a strong and diverse educational background in computer science and information technology. He earned his Ph.D. from Deakin University, Australia, specializing in blockchain, AI, UAVs, edge computing, IoT, Web3, and the Metaverse. During his Ph.D. studies (2021–2024), he conducted extensive research in next-generation technologies, contributing significantly to academic and applied fields. Prior to that, he completed a Bachelor of Computer Science (Honours) at Swinburne University of Technology in 2020, where he deepened his expertise in software development and systems engineering. He also holds a Bachelor of Information Technology from Deakin University (2016–2019), which laid the foundation for his interests in cybersecurity and emerging technologies. His education reflects a consistent focus on interdisciplinary innovation and a strong grounding in both theoretical knowledge and practical applications. Dr. Dong’s academic journey across top Australian universities has prepared him well for a career in high-impact, technology-driven research and teaching.

Professional Experience📝

Dr. Chengzu Dong brings a rich and diverse professional background in academia, research, and industry. He is currently serving as an Assistant Professor at Lingnan University, Hong Kong, where he teaches and develops courses in blockchain, data mining, machine learning, and cybersecurity. Prior to this, he held multiple academic roles at Deakin University, including seminar lecturer, academic tutor, course developer, and capstone mentor, contributing significantly to curriculum innovation and student mentorship. His research experience includes collaborations with CSIRO, Australia’s leading scientific agency, where he worked on blockchain and AI projects. He also held positions as a research assistant at Swinburne University and Deakin University, and worked in software development roles at Artchain Global, Creative Geelong, and FPT Software. These roles highlight his strong technical skills and ability to bridge academia and industry. Dr. Dong’s professional journey reflects a well-rounded portfolio of teaching, research, and applied innovation in emerging technologies.

Research Interest🔎

Dr. Chengzu Dong’s research interests lie at the intersection of emerging technologies and intelligent systems, with a strong focus on cybersecurity, blockchain, artificial intelligence (AI), Internet of Things (IoT), unmanned aerial vehicles (UAVs), edge computing, Web3, and the Metaverse. His work aims to address critical challenges in data privacy, secure communication, and decentralized systems through the integration of blockchain and federated learning frameworks. He is particularly passionate about developing secure and efficient architectures for UAV delivery systems and smart edge networks, making his research highly relevant to real-world applications. Dr. Dong’s interdisciplinary approach combines theoretical advancements with practical implementations, as demonstrated by his collaborations with CSIRO and numerous industry partners. His contributions not only advance academic knowledge but also provide innovative solutions to pressing technological issues in digital security and autonomous systems. This diverse and forward-looking research portfolio positions him as a thought leader in next-generation computing and intelligent infrastructure.

Award and Honor🏆

Dr. Chengzu Dong has received numerous awards and honors in recognition of his academic excellence, research impact, and innovative contributions to emerging technologies. He was the recipient of the prestigious Deakin University Postgraduate Research Scholarship and a CSIRO Top-up Scholarship, supporting his advanced research in blockchain and AI. His work has earned best paper awards at international conferences such as IEEE IAS GLOBCONHT 2023, and he has achieved first runner-up prizes in blockchain hackathons in both Thailand and Australia. Dr. Dong is a certified member of the Australian Computer Society and holds various professional certifications, including Cisco CCNET and Certificate IV in Training and Assessment. His academic excellence was further recognized with the Golden Key Top 15% Student Award. He has also received recognition as a journal and conference reviewer, including a free ACM membership. These accolades collectively highlight his leadership, innovation, and dedication to research excellence and professional development.

Research Skill🔬

Dr. Chengzu Dong possesses a comprehensive set of research skills that span theoretical development, applied experimentation, and interdisciplinary collaboration. He is highly proficient in blockchain technology, artificial intelligence, federated learning, and cybersecurity frameworks, with a particular focus on secure systems for UAVs and edge computing environments. Dr. Dong demonstrates strong technical expertise in programming languages such as Python, Node.js, and React, along with experience in data analytics, machine learning model development, and system architecture design. His ability to design privacy-preserving frameworks and implement decentralized solutions reflects his strength in combining research theory with practical outcomes. Additionally, his experience working with organizations like CSIRO showcases his capability to collaborate on large-scale, real-world projects. Dr. Dong is also skilled in academic writing and publishing, with over 30 high-quality publications in top-tier journals and conferences. His strong analytical mindset, problem-solving ability, and innovation make him a highly capable and impactful researcher in advanced computing domains.

Conclusion💡

Dr. Chengzu Dong exemplifies the qualities of an outstanding researcher and academic, making him a highly suitable candidate for the Best Researcher Award. His extensive contributions to cutting-edge areas such as blockchain, AI, cybersecurity, and UAV systems reflect both depth and breadth in research expertise. With over 30 high-impact publications, multiple international awards, and active collaborations with renowned institutions like CSIRO, Dr. Dong has demonstrated consistent research excellence and innovation. His ability to translate theoretical knowledge into practical solutions for real-world challenges, especially in emerging technologies, underscores his relevance and leadership in the field. Additionally, his dedication to teaching and mentoring at multiple universities enhances his influence in shaping future researchers and professionals. Dr. Dong’s interdisciplinary skills, academic achievements, and forward-thinking research agenda not only position him as a leader in his domain but also affirm his deserving candidacy for this prestigious recognition.

Publications Top Noted✍

  • Title: BBM: A Blockchain-Based Model for Open Banking via Self-Sovereign Identity
    Authors: C. Dong, Z. Wang, S. Chen, Y. Xiang
    Year: 2020
    Citations: 32

  • Title: A Novel Security Framework for Edge Computing Based UAV Delivery System
    Authors: A. Yao, F. Jiang, X. Li, C. Dong, Y.X. Jia, X.L. Gang Li
    Year: 2021
    Citations: 28

  • Title: Enhancing Quality of Service Through Federated Learning in Edge-Cloud Architecture
    Authors: J. Zhou, S. Pal, C. Dong, K. Wang
    Year: 2024
    Citations: 22

  • Title: A Blockchain-Aided Self-Sovereign Identity Framework for Edge-Based UAV Delivery System
    Authors: C. Dong, F. Jiang, X. Li, A. Yao, G. Li, X. Liu
    Year: 2021
    Citations: 20

  • Title: Optimizing Performance in Federated Person Re-Identification Through Benchmark Evaluation for Blockchain-Integrated Smart UAV Delivery Systems
    Authors: C. Dong, J. Zhou, Q. An, F. Jiang, S. Chen, L. Pan, X. Liu
    Year: 2023
    Citations: 15

  • Title: Continuous Authentication for UAV Delivery Systems Under Zero-Trust Security Framework
    Authors: C. Dong, F. Jiang, S. Chen, X. Liu
    Year: 2022
    Citations: 15

  • Title: A Privacy-Preserving Location Data Collection Framework for Intelligent Systems in Edge Computing
    Authors: A. Yao, S. Pal, X. Li, Z. Zhang, C. Dong, F. Jiang, X. Liu
    Year: 2024
    Citations: 11

  • Title: A Framework for User Biometric Privacy Protection in UAV Delivery Systems with Edge Computing
    Authors: A. Yao, S. Pal, C. Dong, X. Li, X. Liu
    Year: 2024
    Citations: 11

Khrystyna Lipianina-Honcharenko | Computer Science | Young Scientist Award

Published on by Global Scholar Awards

Dr. Khrystyna Lipianina-Honcharenko | Computer Science | Young Scientist Award

Associate professor, Ph.D. in information technologies at West Ukrainian National University, Ukraine

Khrystyna Lipianina-Honcharenko is a promising candidate for the Young Scientist Award due to her strong academic background and substantial contributions to research in information technology, machine learning, and socio-economic modeling. Holding a PhD in Technical Sciences and serving as an Associate Professor at the West Ukrainian National University, she has extensive experience in both teaching and research. Khrystyna is involved in high-impact international projects, such as TruScanAI and Erasmus+ initiatives, demonstrating her leadership and collaboration in cutting-edge technological advancements. Her research on data analysis, simulation, and machine learning positions her at the forefront of modern scientific inquiry. While her proficiency in English and publication presence are notable, further enhancement of her language skills and expanding her network in global research circles could increase her influence. Overall, Khrystyna’s innovative research and leadership make her a strong contender for the award, with significant potential for future contributions to the scientific community.

Professional Profile 

Education🎓

Khrystyna Lipianina-Honcharenko has an extensive educational background, primarily from West Ukrainian National University, where she has completed multiple degrees. She holds a Bachelor’s degree in Economic Cybernetics (2007–2011), followed by a Master’s in Information Technologies in Economics (2011–2012). Khrystyna continued her academic journey as a postgraduate student at the Department of Economic Cybernetics and Informatics, earning a PhD in Technical Sciences in Information Technology (2019). Her academic pursuits are ongoing, as she is currently working towards her Doctor of Technical Sciences degree in the Department of Information Computer Systems and Control at the same university, which she is expected to complete in 2025. Her education reflects a strong foundation in both the technical and economic aspects of information systems, further enhanced by her focus on machine learning and data analysis. This solid academic background has significantly contributed to her research and teaching expertise.

Professional Experience📝

Khrystyna Lipianina-Honcharenko has a rich professional experience in academia, primarily at West Ukrainian National University (WNU). She began her career as a Laboratory Assistant in the Department of Economic Cybernetics and Informatics from 2012 to 2014, where she gained foundational experience in research and teaching. Khrystyna then advanced to the role of Lecturer in the same department from 2013 to 2020, and later became a Senior Lecturer in the Department of Information Computer Systems and Control from 2020 to 2021. Her expertise was further recognized when she was promoted to Associate Professor in 2021, a position she holds currently. Throughout her career, Khrystyna has not only contributed to teaching but has also been actively involved in research, particularly in areas such as machine learning, data analysis, and socio-economic modeling. Her experience spans both academic instruction and hands-on involvement in high-impact international research projects, highlighting her leadership and expertise.

Research Interest🔎

Khrystyna Lipianina-Honcharenko’s research interests lie at the intersection of information technology, machine learning, and socio-economic modeling. She is particularly focused on data analysis, simulation, and the application of artificial intelligence methods in cyber-physical systems. Her work explores the use of machine learning techniques to model and forecast socio-economic processes, aiming to improve decision-making in various fields, including economics and technology. Khrystyna has also contributed to innovative projects like TruScanAI, which uses AI to detect fake information, and Auralisation of Acoustic Heritage Sites, which combines augmented and virtual reality to preserve cultural heritage. Her research interests extend to structural and statistical identification of hierarchical objects, as well as the development of tools for analyzing complex systems. Through these endeavors, Khrystyna seeks to advance the integration of technology and data-driven methods in solving real-world challenges, particularly in the context of socio-economic systems and information technologies.

Award and Honor🏆

Khrystyna Lipianina-Honcharenko has been recognized for her significant contributions to research and education, particularly in the fields of information technology and machine learning. While specific awards and honors are not detailed in the available information, her involvement in prestigious international projects such as Erasmus+ and her participation in high-impact research initiatives like TruScanAI and Auralisation of Acoustic Heritage Sites underscore her academic and professional recognition. These projects highlight her leadership and innovation, earning her respect within the academic community. Additionally, her active role in the Erasmus+ KA2 Work4CE program demonstrates her commitment to advancing higher education and interdisciplinary collaboration. Khrystyna’s extensive publication record and contributions to scientific advancements further demonstrate her growing influence in her field. As she continues to contribute to international collaborations and projects, it is likely that her efforts will lead to more formal recognitions and awards, further solidifying her place as a leader in her research domain.

Research Skill🔬

Khrystyna Lipianina-Honcharenko possesses a diverse and robust set of research skills, particularly in the areas of data analysis, machine learning, and modeling of socio-economic processes. She is proficient in programming languages such as R and Python, which are essential for data processing, algorithm development, and machine learning applications. Her expertise extends to using various application packages like MS Excel, Mathcad, AnyLogic, and GeoDa, allowing her to model complex systems and analyze large datasets effectively. Khrystyna is well-versed in both qualitative and quantitative research methodologies, including structural and statistical identification of hierarchical objects, a skill she applied in projects related to cyber-physical systems. Her ability to combine technical knowledge with socio-economic modeling enables her to tackle interdisciplinary research challenges. Moreover, her involvement in international projects showcases her capacity for collaborative, cross-cultural research, further enhancing her adaptability and competence in applying advanced research techniques in diverse contexts.

Conclusion💡

Khrystyna Lipianina-Honcharenko is a strong candidate for the Young Scientist Award, thanks to her academic accomplishments, innovative research projects, and leadership in international collaborations. Her dedication to the field of information technology, machine learning, and socio-economic modeling positions her as an emerging scientist with significant potential for future contributions. With continued professional development in areas such as language proficiency and broader networking, Khrystyna could enhance her impact and further distinguish herself in her field.

Publications Top Noted✍️

  • Title: Decision tree based targeting model of customer interaction with business page
    Authors: H Lipyanina, A Sachenko, T Lendyuk, S Nadvynychny, S Grodskyi
    Year: 2020
    Citations: 37

  • Title: Economic Crime Detection Using Support Vector Machine Classification
    Authors: A Krysovatyy, H Lipyanina-Goncharenko, S Sachenko, O Desyatnyuk
    Year: 2021
    Citations: 25

  • Title: Assessing the investment risk of virtual IT company based on machine learning
    Authors: H Lipyanina, V Maksymovych, A Sachenko, T Lendyuk, A Fomenko, I Kit
    Year: 2020
    Citations: 24

  • Title: Targeting Model of HEI Video Marketing based on Classification Tree
    Authors: H Lipyanina, S Sachenko, T Lendyuk, A Sachenko
    Year: 2020
    Citations: 22

  • Title: Concept of the intelligent guide with AR support
    Authors: K Lipianina-Honcharenko, R Savchyshyn, A Sachenko, A Chaban, I Kit
    Year: 2022
    Citations: 19

  • Title: Intelligent Method of a Competitive Product Choosing based on the Emotional Feedbacks Coloring
    Authors: R Gramyak, H Lipyanina-Goncharenko, A Sachenko, T Lendyuk
    Year: 2021
    Citations: 19

  • Title: Method of detecting a fictitious company on the machine learning base
    Authors: H Lipyanina, S Sachenko, T Lendyuk, V Brych, V Yatskiv, O Osolinskiy
    Year: 2021
    Citations: 17

  • Title: Multiple regression method for analyzing the tourist demand considering the influence factors
    Authors: V Krylov, A Sachenko, P Strubytskyi, D Lendiuk, H Lipyanina
    Year: 2019
    Citations: 13

  • Title: Recognizing the Fictitious Business Entity on Logistic Regression Base
    Authors: A Krysovatyy, K Lipianina-Honcharenko, S Sachenko, O Desyatnyuk
    Year: 2022
    Citations: 9

  • Title: Сучасні інформаційні технології
    Authors: ОВ Вовкодав, ХВ Ліп’яніна
    Year: 2017
    Citations: 9

  • Title: Classification Method of Fictitious Enterprises Based on Gaussian Naive Bayes
    Authors: A Krysovatyy, H Lipyanina-Goncharenko, O Desyatnyuk, S Sachenko
    Year: 2021
    Citations: 8

  • Title: Intelligent information system for product promotion in internet market
    Authors: K Lipianina-Honcharenko, C Wolff, A Sachenko, O Desyatnyuk
    Year: 2023
    Citations: 7

  • Title: An intelligent method for forming the advertising content of higher education institutions based on semantic analysis
    Authors: K Lipianina-Honcharenko, T Lendiuk, A Sachenko, O Osolinskyi
    Year: 2021
    Citations: 7

  • Title: Intelligent waste-volume management method in the smart city concept
    Authors: K Lipianina-Honcharenko, M Komar, O Osolinskyi, V Shymanskyi
    Year: 2023
    Citations: 6

  • Title: Intelligent method for classifying the level of anthropogenic disasters
    Authors: K Lipianina-Honcharenko, C Wolff, A Sachenko, I Kit, D Zahorodnia
    Year: 2023
    Citations: 6

Xiang Li | Computer Science | Best Researcher Award

Published on by Global Scholar Awards

Ms. Xiang Li | Computer Science | Best Researcher Award

PHD candidate at University of Chinese Academy of Sciences, China

Xiang Li, a Ph.D. candidate at the University of Chinese Academy of Sciences, demonstrates exceptional potential for the Best Researcher Award. With a solid academic foundation—ranking in the top 5–7% throughout his studies—he has excelled in areas such as deep learning, stochastic processes, and pattern recognition. His research focuses on cross-domain few-shot learning, addressing real-world challenges like medical lesion detection and remote sensing scene classification. He has published in the prestigious Knowledge-Based Systems journal and submitted another to IEEE Transactions on Geoscience and Remote Sensing. Xiang has also earned accolades, including the Second Prize in the National Mathematical Modeling Competition and a top-tier finish in the Huawei Software Elite Challenge. His future interests in class-incremental learning and prompt tuning highlight a clear vision for impactful research. Overall, Xiang Li’s innovative contributions, academic excellence, and commitment to advancing AI technologies make him a strong and deserving candidate for this recognition.

Professional Profile 

Education

Xiang Li has demonstrated outstanding academic performance throughout his educational journey. He earned his Bachelor’s degree in Information and Computer Science from Shandong University, graduating in July 2021 with an impressive GPA of 91.73/100, placing him in the top 7.46% of his class. His coursework included high-level subjects such as Mathematical Statistics, Operations Research, and Advanced Algebra, in which he consistently achieved top scores. Following this, he was admitted to the University of Chinese Academy of Sciences, where he completed foundational Ph.D. training from September 2021 to July 2022, ranking in the top 5% with a GPA of 87.13/100. His advanced studies covered critical areas like Matrix Analysis, Deep Learning, and Pattern Recognition. Currently, he is conducting doctoral research at the Institute of Optics and Electronics, Chinese Academy of Sciences, focusing on cross-domain few-shot learning. His educational background reflects strong technical competence and a solid foundation for innovative research.

Professional Experience

Xiang Li has accumulated valuable professional research experience during his Ph.D. studies at the Institute of Optics and Electronics, Chinese Academy of Sciences. His primary research focuses on cross-domain few-shot learning, a vital area in artificial intelligence that addresses challenges in data-scarce environments. He has led and contributed to key projects, including the development of a dynamic representation enhancement framework to improve model generalization across different domains, and the fine-tuning of general pre-trained models for few-shot remote sensing scene classification. In addition to research, Xiang has actively participated in national competitions, winning third prize in the Huawei Software Elite Challenge for designing a traffic scheduling plan and contributing to infrared small target detection strategies in another competition. These experiences highlight his strong technical problem-solving skills, teamwork, and ability to apply theoretical knowledge to real-world challenges. His professional work reflects both depth and versatility, positioning him as a highly capable and innovative young researcher.

Research Interest

Xiang Li’s research interests lie at the forefront of artificial intelligence, with a strong focus on cross-domain few-shot learning, computer vision, and representation learning. He is particularly interested in developing algorithms that enable models to perform effectively in data-scarce scenarios, addressing the challenges posed by domain shifts and limited labeled data. His current work involves enhancing the representational capacity of models to learn diverse and meaningful features across domains, with applications in medical image analysis and remote sensing. Xiang is also exploring techniques for fine-tuning general pre-trained models to adapt to new tasks without extensive retraining. Looking ahead, he is keen on advancing research in few-shot class-incremental learning, where models continuously adapt to new classes with minimal data, and in prompt tuning for vision-language pre-trained models, which integrates natural language processing with visual recognition. His interests reflect a forward-thinking approach to building intelligent systems capable of learning efficiently and generalizing across tasks.

Award and Honor

Xiang Li has received several prestigious awards and honors in recognition of his academic excellence and research capabilities. During his undergraduate and doctoral studies, he was consistently awarded scholarships from both Shandong University and the University of Chinese Academy of Sciences, reflecting his outstanding academic performance and dedication. In June 2022, he was named a Merit Student at the University of Chinese Academy of Sciences, an honor reserved for top-performing students. His strong analytical and problem-solving skills were further recognized in national competitions, where he earned the Second Prize in the National College Students’ Mathematical Modeling Competition in 2019. Additionally, he played a key role in a team that won third prize in the Huawei Software Elite Challenge, a highly competitive event involving over 300 teams. These honors highlight his ability to excel both academically and practically, reinforcing his position as a promising and accomplished young researcher in the field of computer science.

Research skill

Xiang Li possesses a strong set of research skills that make him a capable and innovative scholar in the field of artificial intelligence and computer vision. His expertise spans advanced areas such as cross-domain few-shot learning, deep learning, and representation learning. He demonstrates exceptional analytical abilities, evident in his design and implementation of dynamic representation frameworks to enhance model generalization across diverse domains. Xiang is proficient in applying theoretical concepts to practical problems, as seen in his work on fine-tuning pre-trained models for remote sensing scene classification. His skill set includes programming, algorithm development, statistical analysis, and critical thinking, which he has effectively applied in both solo research and collaborative projects. Furthermore, his ability to publish in top-tier journals, such as Knowledge-Based Systems, reflects his competence in scientific writing, experimental design, and result interpretation. These research skills enable him to tackle complex challenges and contribute meaningfully to the advancement of intelligent systems.

Conclusion

Xiang Li is a highly promising young researcher with a solid academic foundation, well-defined research focus, and impactful contributions in the field of computer vision and machine learning. His achievements in cross-domain few-shot learning, publication in a top-tier journal, and award-winning competition experience clearly demonstrate excellence in research and innovation.

Publications Top Noted

  • Title: RSGPT: A remote sensing vision language model and benchmark
    Authors: Y. Hu, Yuan; J. Yuan, Jianlong; C. Wen, Congcong; Y. Liu, Yu; X. Li, Xiang
    Year: 2025

  • Title: Uni3DL: A Unified Model for 3D Vision-Language Understanding
    Authors: X. Li, Xiang; J. Ding, Jian; Z. Chen, Zhaoyang; M. Elhoseiny, Mohamed
    Year: 2025 (Conference Paper)

  • Title: 3D Shape Contrastive Representation Learning With Adversarial Examples
    Authors: C. Wen, Congcong; X. Li, Xiang; H. Huang, Hao; Y.S. Liu, Yu Shen; Y. Fang, Yi
    Year: 2025
    Journal: IEEE Transactions on Multimedia
    Citations: 4

  • Title: Learning general features to bridge the cross-domain gaps in few-shot learning
    Authors: X. Li, Xiang; H. Luo, Hui; G. Zhou, Gaofan; M. Li, Meihui; Y. Liu, Yunfeng
    Year: 2024
    Journal: Knowledge-Based Systems
    Citations: 1

Kin Fai Tong | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Prof. Dr. Kin Fai Tong | Engineering | Best Researcher Award

Chair Professor of Antennas and Applied Electromagnetics at Hong Kong Metropolitan University, Hong Kong

Professor Kin Fai (Kenneth) Tong is a highly accomplished researcher in antennas and applied electromagnetics, with a prolific academic and professional career spanning over two decades. He holds a Ph.D. in Electronic Engineering and currently serves as Chair Professor at Hong Kong Metropolitan University, with prior leadership roles at University College London. A Fellow of IEEE and several other prestigious academies, he has received numerous international awards including best paper and innovation accolades. His research is backed by substantial funding from top agencies such as EPSRC, DFID, Innovate UK, and MoD UK, with over 30 funded projects in wireless communication, smart agriculture, IoT, and fluid antenna systems. His work has led to groundbreaking advancements in 6G technologies and hybrid microwave-optical systems. While already a leading expert, future efforts could further focus on commercializing innovations and expanding interdisciplinary collaborations. Overall, Professor Tong is exceptionally well-suited for the Best Researcher Award.

Professional Profile

Education🎓

Professor Kin Fai (Kenneth) Tong possesses an impressive educational background that laid the foundation for his distinguished career in electronic engineering and applied electromagnetics. He earned his Bachelor’s and Master’s degrees in Engineering, followed by a Ph.D. in Electronic Engineering, all from reputable institutions known for their strong emphasis on innovation and technological advancement. His academic journey reflects a commitment to excellence and continuous learning, equipping him with in-depth theoretical knowledge and practical expertise in areas such as antennas, wireless communication, and electromagnetic theory. Throughout his educational career, he demonstrated exceptional aptitude for research and problem-solving, which later translated into pioneering contributions to 5G and 6G wireless systems, microwave photonics, and IoT technologies. Professor Tong’s robust academic training not only shaped his scientific mindset but also prepared him to mentor future engineers and researchers, making him a valuable asset in both educational and research-focused institutions around the world.

Professional Experience📝

Professor Kin Fai (Kenneth) Tong has amassed extensive professional experience in the field of electronic engineering, particularly in applied electromagnetics, wireless communications, and antenna design. He currently serves as a Professor of Microwave and Communication Systems at University College London (UCL), where he leads research initiatives and mentors students in cutting-edge technological domains. Over the years, Professor Tong has held various academic and research positions, contributing significantly to the development of 5G and emerging 6G technologies, microwave photonics, and wearable electronics. His work bridges theoretical research with real-world applications, earning him international recognition. He has collaborated with leading industry partners and academic institutions on numerous high-impact projects, and his research has resulted in over 300 scholarly publications. Beyond his technical achievements, he is an influential educator and speaker, often invited to present his work at global conferences. His professional journey reflects a deep commitment to innovation, leadership, and knowledge dissemination.

Research Interest🔎

Professor Kin Fai (Kenneth) Tong’s research interests lie at the intersection of applied electromagnetics and next-generation wireless communication systems. He focuses on the design and development of advanced antennas, microwave and millimeter-wave systems, and their integration into emerging technologies such as 5G, 6G, and the Internet of Things (IoT). His work also explores microwave photonics, body-centric wireless communications, and wearable electronics—aiming to create high-performance, compact, and energy-efficient communication systems. Professor Tong is particularly interested in reconfigurable intelligent surfaces (RIS), terahertz communications, and electromagnetic compatibility in complex environments. His interdisciplinary approach combines theoretical modeling, simulation, and practical prototyping to address real-world engineering challenges. By collaborating with international partners from academia and industry, he drives innovation in areas such as medical diagnostics, wireless sensing, and smart cities. His research continues to shape the future of wireless connectivity, contributing to transformative solutions that enhance communication efficiency, reliability, and sustainability.

Award and Honor🏆

Professor Kin Fai (Kenneth) Tong has received numerous awards and honors in recognition of his outstanding contributions to the field of electromagnetics and wireless communication. He is a Fellow of the Institution of Engineering and Technology (IET) and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), reflecting his esteemed professional standing. Over the years, he has been honored with prestigious research grants and awards for excellence in innovation and academic leadership. His pioneering work in body-centric wireless communications and millimeter-wave antenna design has earned accolades from international conferences and professional societies. Professor Tong has also served on editorial boards of reputed journals and has been invited as a keynote speaker at global conferences, further validating his impact on the scientific community. These recognitions highlight his commitment to advancing technology, fostering interdisciplinary collaboration, and mentoring the next generation of engineers and researchers in the field.

Research Skill🔬

Professor Kin Fai (Kenneth) Tong possesses a diverse and robust set of research skills that have significantly advanced the fields of electromagnetics, antenna design, and wireless communication. He excels in the development and analysis of millimeter-wave and terahertz antennas, with a strong command of computational electromagnetic simulation tools and experimental prototyping. His expertise includes designing body-centric wireless systems and wearable antennas, demonstrating a deep understanding of human body interaction with radio frequency signals. He is also proficient in system integration, signal processing, and electromagnetic compatibility. Professor Tong’s interdisciplinary approach allows him to collaborate effectively across engineering, healthcare, and biomedical fields, applying his skills to real-world applications such as remote sensing and wireless body area networks. His ability to lead complex research projects, publish extensively in top-tier journals, and secure competitive funding showcases his strategic thinking and innovative problem-solving abilities, making him a highly skilled and impactful researcher in his domain.

Conclusion💡

Professor Kin Fai (Kenneth) Tong is highly suitable for the Best Researcher Award.
His decades-long contributions to antennas, wireless communications, and applied electromagnetics—combined with high-level funding, awards, publications, and global recognition—make him an ideal candidate. His research has not only advanced scientific knowledge but also shaped industrial applications in 6G, smart cities, and IoT.

Publications Top Noted✍️

  • Title: Advances in Microstrip and Printed Antennas
    Authors: KF Lee, W Chen
    Year: 1997
    Citations: 888

  • Title: Experimental and Simulation Studies of the Coaxially Fed U-slot Rectangular Patch Antenna
    Authors: KF Lee, KM Luk, KF Tong, SM Shum, T Huynh, RQ Lee
    Year: 1997
    Citations: 586

  • Title: A Broad-band U-slot Rectangular Patch Antenna on a Microwave Substrate
    Authors: KF Tong, KM Luk, KF Lee, RQ Lee
    Year: 2000
    Citations: 400

  • Title: Circularly Polarized U-slot Antenna
    Authors: KF Tong, TP Wong
    Year: 2007
    Citations: 330

  • Title: Microstrip Patch Antennas—Basic Characteristics and Some Recent Advances
    Authors: KF Lee, KF Tong
    Year: 2012
    Citations: 312

  • Title: Fluid Antenna Systems
    Authors: KK Wong, A Shojaeifard, KF Tong, Y Zhang
    Year: 2020
    Citations: 296

  • Title: A Survey of Emerging Interconnects for On-Chip Efficient Multicast and Broadcast in Many-Cores
    Authors: A Karkar, T Mak, KF Tong, A Yakovlev
    Year: 2016
    Citations: 183

  • Title: Fluid Antenna Multiple Access
    Authors: KK Wong, KF Tong
    Year: 2021
    Citations: 173

  • Title: Frequency Diverse Array with Beam Scanning Feature
    Authors: J Huang, KF Tong, CJ Baker
    Year: 2008
    Citations: 140

  • Title: Frequency Diverse Array: Simulation and Design
    Authors: J Huang, KF Tong, K Woodbridge, C Baker
    Year: 2009
    Citations: 136

Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

Published on by Global Scholar Awards

Dr. Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

Principal Engineer at STMicroelectronics, Italy

Domenico Di Grazia is a seasoned GNSS Signal Senior Engineer and team leader at STMicroelectronics, recognized for his outstanding contributions to satellite navigation technology. With over two decades of experience, he has led the design and implementation of innovative algorithms for signal acquisition, tracking, and precise positioning across global constellations including GPS, Galileo, and Beidou. He holds several U.S. patents in anti-jamming, multipath mitigation, and signal reacquisition, reflecting his pioneering role in advancing GNSS solutions, particularly for autonomous driving applications. His work bridges industrial innovation and academic collaboration, as he actively mentors students and contributes to international projects and publications. While his impact in applied research and embedded system design is significant, further academic publications could enhance his scholarly visibility. Nonetheless, his leadership, technical depth, and real-world impact position him as an ideal candidate for the Research for Innovation Recognition Award, celebrating excellence in applied engineering innovation.

Professional Profile 

Education🎓

Domenico Di Grazia holds a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, one of Italy’s leading technical universities. He graduated summa cum laude in July 2001, demonstrating exceptional academic performance. His thesis focused on MPEG-4 technology, developed in collaboration with Uni.Com (Telit Group), where he gained early exposure to real-world digital signal processing and multimedia systems. His foundational education provided strong expertise in digital communications, signal processing, and embedded systems—core areas that later shaped his professional focus in GNSS technology. Prior to his university studies, he completed his secondary education at Liceo Scientifico in Lagonegro, graduating with a perfect score of 60/60. Throughout his academic journey, Domenico showed a strong inclination toward innovation and research, which has seamlessly translated into his professional achievements. His education laid the groundwork for a successful career in developing cutting-edge satellite navigation technologies and collaborating on international research initiatives.

Professional Experience📝

Domenico Di Grazia brings over 20 years of professional experience in GNSS and digital signal processing, primarily at STMicroelectronics. Since joining the company in 2003, he has advanced from a software designer to the GNSS DSP Team Leader, overseeing algorithm development, chip design specifications, and cross-site team management. His work focuses on the modeling and implementation of advanced signal processing techniques for GPS, Galileo, Beidou, and other global navigation systems, with applications in high-precision positioning and autonomous driving. He has led several innovative projects, authored patents in anti-jamming, signal reacquisition, and tracking, and contributed to international collaborations and conferences. Prior to STMicroelectronics, he worked as a hardware and firmware designer at Uni.Com (Telit Group), gaining hands-on experience in DVB standards and SMART TV systems. Domenico’s career reflects a blend of deep technical expertise, leadership, and real-world impact, making him a driving force in GNSS innovation and embedded system design.

Research Interest🔎

Domenico Di Grazia’s research interests lie at the intersection of advanced signal processing, satellite navigation systems, and embedded system innovation. He specializes in the development of algorithms for GNSS signal acquisition, reacquisition, and tracking across multiple constellations, including GPS, Galileo, Beidou, and IRNSS. His focus extends to precise positioning technologies through carrier phase and pseudorange measurements, multipath mitigation, and cycle slip detection. Domenico is particularly passionate about enhancing GNSS performance in challenging environments, contributing to the evolution of anti-jamming and anti-spoofing techniques for reliable navigation. He is actively involved in designing GNSS-enabled systems for autonomous driving, integrating functional safety standards. His work emphasizes real-time implementation on embedded platforms, bridging theoretical models with practical applications. Additionally, his interest in fostering industry-academia collaboration fuels his contributions to training, mentoring, and joint research initiatives with universities, reinforcing his commitment to technological innovation and next-generation navigation systems.

Award and Honor🏆

Domenico Di Grazia has earned widespread recognition for his contributions to GNSS signal processing and satellite navigation technologies. He holds several prestigious U.S. patents, reflecting his innovative work in areas such as anti-jamming, signal reacquisition, digital demodulation, and multi-constellation satellite tracking. These patented technologies have been instrumental in advancing precise positioning and enhancing signal reliability in complex environments. In addition to his intellectual property achievements, Domenico has co-authored several influential articles published in international journals and conference proceedings, including contributions to ION and GPS World. His role as a team leader at STMicroelectronics and as a key contributor to international collaborative projects has further solidified his reputation as a global expert in GNSS technologies. Recognized within the industry for driving advancements in automotive GNSS applications, particularly for autonomous driving, Domenico’s innovations continue to impact the field. His consistent excellence and commitment make him a strong candidate for technical and research-oriented honors.

Research Skill🔬

Domenico Di Grazia possesses advanced research skills in digital signal processing, algorithm development, and satellite navigation technologies. His expertise spans modeling and real-time implementation of innovative acquisition, reacquisition, and tracking algorithms for multi-constellation GNSS systems, including GPS, Galileo, Beidou, and IRNSS. He is highly skilled in programming languages such as C, MATLAB, and Python, which he uses to develop and test complex signal processing solutions on embedded platforms. Domenico excels in applying carrier phase and pseudorange measurement techniques, multipath mitigation, and cycle slip detection to enhance GNSS accuracy and reliability. His deep understanding of anti-jamming and anti-spoofing strategies supports robust navigation systems for critical applications like autonomous driving. He also demonstrates strong collaboration and mentoring skills, contributing to research initiatives with universities and guiding young engineers. His ability to integrate theoretical research with industrial application showcases his strength as a well-rounded innovator in the field of GNSS technology.

Conclusion💡

Domenico Di Grazia is highly suitable for the Research for Innovation Recognition Award. His career exemplifies cutting-edge technological innovation, deep domain expertise, and meaningful contributions to global industries such as autonomous systems and telecommunications.

His leadership in patent-worthy research, direct real-world impact, and sustained commitment to advancing GNSS technologies make him an excellent candidate. Strengthening academic visibility and broadening interdisciplinary reach could further elevate his innovation profile.

Publications Top Noted✍️

1. Title: Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices
Authors: Domenico Di Grazia, Fabio Pisoni, Giovanni Gogliettino, Ciro Gioia, Daniele Borio
Year: 2025
DOI: 10.3390/engproc2025088030
Citation:
Di Grazia, D., Pisoni, F., Gogliettino, G., Gioia, C., & Borio, D. (2025). Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088030

2. Title: Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites
Authors: Fabio Pisoni, Domenico Di Grazia, Giovanni Gogliettino, Thyagaraja Marathe, Paul Tarantino, Tyler Reid, Mathieu Favreau
Year: 2025
DOI: 10.3390/engproc2025088022
Citation:
Pisoni, F., Di Grazia, D., Gogliettino, G., Marathe, T., Tarantino, P., Reid, T., & Favreau, M. (2025). Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088022

Mohamed Zakaria | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Dr. Mohamed Zakaria | Engineering | Best Researcher Award

Kafrelsheikh University Faculty of Engineering, Egypt

Dr. Mohamed H. Zakaria, an Assistant Professor in Civil Engineering at Kafrelsheikh University, Egypt, is a dedicated researcher specializing in Soil Mechanics, Foundation Engineering, Highway Engineering, and Reinforced Concrete. With a Ph.D. from Menoufia University and a consistent academic trajectory, he has published extensively in reputable international journals, contributing innovative research on structural behavior, excavation systems, and the integration of advanced techniques such as machine learning and finite element modeling. His recent work addresses critical infrastructure challenges, reflecting both technical depth and practical relevance. Dr. Zakaria maintains active profiles on ORCID, Scopus, and ResearchGate, demonstrating his engagement with the global research community. His research reflects strong potential for collaboration and societal impact. While he could further enhance his profile through increased citations, international projects, and mentorship roles, his achievements and commitment make him a highly suitable candidate for the Best Researcher Award, with significant promise for future contributions.

Professional Profile 

Education🎓

Dr. Mohamed H. Zakaria has pursued a robust and progressive academic path in the field of Civil Engineering. He earned his Ph.D. in Civil Engineering from Menoufia University, Egypt, where he focused on advanced geotechnical and structural engineering concepts. Prior to this, he obtained a Master of Science degree in Civil Engineering from Kafrelsheikh University, further deepening his expertise in soil mechanics and foundation engineering. His academic journey began at Kafrelsheikh University, where he laid a strong foundation in engineering principles. Throughout his educational career, Dr. Zakaria demonstrated academic excellence, dedication to research, and a commitment to innovation. His studies have equipped him with both theoretical knowledge and practical problem-solving skills, which are evident in his applied research and numerous publications. His educational background not only reflects a high level of specialization in his chosen field but also positions him well for continued contributions to civil engineering education and research.

Professional Experience📝

Dr. Mohamed H. Zakaria has amassed extensive professional experience in the field of Civil Engineering, primarily through his longstanding association with Kafrelsheikh University in Egypt. He began his academic career as a Demonstrator in 2014, steadily progressing to the position of Assistant Lecturer in 2019, and currently serves as an Assistant Professor in the Civil Engineering Department. His roles have encompassed teaching, mentoring, and conducting impactful research in soil mechanics, foundation engineering, and highway engineering. Dr. Zakaria has contributed significantly to the academic community through his involvement in experimental investigations, numerical modeling, and structural analysis. His research has been published in numerous high-impact journals, reflecting both academic rigor and practical relevance. Through his professional journey, he has demonstrated a strong commitment to advancing civil engineering knowledge and fostering innovation. His experience positions him as a capable educator, active researcher, and a valuable contributor to both academic and applied engineering projects.

Research Interest🔎

Dr. Mohamed H. Zakaria’s research interests are rooted in the core areas of Civil Engineering, with a particular focus on Soil Mechanics, Foundation Engineering, Highway Engineering, and Reinforced Concrete. He is especially passionate about understanding and improving the behavior of structural systems under various loading and environmental conditions. His work explores critical challenges such as settlement mitigation, bearing capacity enhancement, and the structural performance of pile walls and reinforced concrete elements. Dr. Zakaria is also interested in the application of advanced techniques like finite element modeling, machine learning, and experimental methods to optimize design and construction practices. His interdisciplinary approach combines theoretical modeling with practical experimentation, aiming to develop innovative and sustainable engineering solutions. Through his research, he seeks to enhance the safety, durability, and efficiency of infrastructure systems, making a tangible impact on both academic knowledge and engineering practice. His work invites collaboration and has strong potential for global relevance.

Award and Honor🏆

Dr. Mohamed H. Zakaria has earned recognition for his dedication to research and academic excellence in Civil Engineering. While specific named awards and honors are not extensively listed in public records, his consistent publication of high-quality research in reputable, peer-reviewed international journals reflects his scholarly impact and recognition within the academic community. His achievements in developing innovative solutions for geotechnical and structural engineering challenges, such as enhancing the performance of secant pile walls and utilizing machine learning in structural prediction, demonstrate both technical expertise and thought leadership. His rising citation metrics and growing international research collaborations also highlight his influence and professional standing. Dr. Zakaria’s academic progression—from Demonstrator to Assistant Professor at Kafrelsheikh University—illustrates his merit and recognition by peers and institutions. As he continues to contribute significantly to his field, he is well-positioned to receive further honors and awards in acknowledgment of his impactful research and academic leadership.

Research Skill🔬

Dr. Mohamed H. Zakaria possesses a diverse and well-developed set of research skills that span both theoretical and practical aspects of Civil Engineering. He is highly proficient in experimental design and laboratory testing, particularly in the areas of soil mechanics, foundation behavior, and reinforced concrete structures. His ability to conduct complex analyses is complemented by his expertise in numerical modeling, including the use of finite element methods for simulating structural and geotechnical behavior. Additionally, Dr. Zakaria has demonstrated skill in applying advanced technologies such as machine learning to predict structural performance, showcasing his adaptability and innovation in solving engineering problems. He is also adept at conducting comprehensive literature reviews, synthesizing technical data, and publishing findings in high-impact journals. His collaborative approach and strong communication skills enhance his ability to work across multidisciplinary teams. Overall, his research skillset makes him a valuable contributor to academic advancements and practical engineering solutions.

Conclusion💡

Dr. Mohamed H. Zakaria is a highly promising and dedicated researcher with a strong and focused track record in civil engineering. His steady academic career, continuous publication record, and exploration of advanced methods like machine learning and FE modeling in civil applications showcase technical excellence and innovative thinking.

Publications Top Noted✍️

  1. Title: Mitigating Settlement and Enhancing Bearing Capacity of Adjacent Strip Footings Using Sheet Pile Walls: An Experimental Approach
    Authors: Ali Basha, Ahmed Yousry Akal, Mohamed H. Zakaria
    Year: 2025
    Citation: Infrastructures, 2025, DOI: 10.3390/infrastructures10040083

  2. Title: A Comparative Study of Terrestrial Laser Scanning and Photogrammetry: Accuracy and Applications
    Authors: Mohamed H. Zakaria, Hossam Fawzy, Mohammed El-Beshbeshy, Magda Farhan
    Year: 2025
    Citation: Civil Engineering Journal, March 2025, DOI: 10.28991/cej-2025-011-03-021

  3. Title: Cantilever Piled-Wall Design Criteria in Cohesionless Soil: A Review
    Authors: Mohamed Hamed Zakaria, Ali Basha
    Year: 2024
    Citation: World Journal of Engineering, 2024, DOI: 10.1108/WJE-01-2024-0038

  4. Title: Prediction of RC T-Beams Shear Strength Based on Machine Learning
    Authors: Saad A. Yehia, Sabry Fayed, Mohamed H. Zakaria, Ramy I. Shahin
    Year: 2024
    Citation: International Journal of Concrete Structures and Materials, 2024, DOI: 10.1186/S40069-024-00690-Z

  5. Title: Effect of Insufficient Tension Lap Splices on the Deformability and Crack Resistance of Reinforced Concrete Beams: A Comparative Study Techniques and Experimental Study
    Authors: Roba Osman, Boshra El-taly, Ahmed Fahmy, Mohamed Zakaria
    Year: 2024
    Citation: Engineering Research Journal, Nov 2024, DOI: 10.21608/erjm.2024.296635.1337

  6. Title: Predicting the Maximum Axial Capacity of Secant Pile Walls Embedded in Sandy Soil
    Authors: Ali M. Basha, Mohamed H. Zakaria, Maher T. El-Nimr, Mohamed M. Abo-Raya
    Year: 2024
    Citation: Geotechnical and Geological Engineering, July 2024, DOI: 10.1007/s10706-023-02734-9

  7. Title: Two-Dimensional Numerical Approaches of Excavation Support Systems: A Comprehensive Review of Key Considerations and Modelling Techniques
    Authors: Mohamed Hamed Zakaria, Ali Basha
    Year: 2024
    Citation: Journal of Contemporary Technology and Applied Engineering, July 2024, DOI: 10.21608/jctae.2024.299692.1030

  8. Title: Interfacial Shear Behavior of Composite Concrete Substrate to High-Performance Concrete Overly After Exposure to Elevated Temperature
    Authors: Nagat M. Zalhaf, Sabry Fayed, Mohamed H. Zakaria
    Year: 2024
    Citation: International Journal of Concrete Structures and Materials, March 2024, DOI: 10.1186/s40069-023-00654-9

Wallelign Mulugeta Nebiyu | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Mr. Wallelign Mulugeta Nebiyu | Engineering | Best Researcher Award

Lecturer at Bahir Dar University, Ethiopia

Wallelign Mulugeta Nebiyu is a dedicated civil engineer, researcher, and lecturer at Bahir Dar University with expertise in sustainability, recycling, and construction technology. He holds a Master’s degree in Civil Engineering and has published research in reputable journals like Springer. His academic contributions include mentoring students, presenting at international conferences, and engaging in community service projects. Certified in BIM Architecture and Project Management, he possesses strong technical skills in engineering software. As a member of the Ethiopian Civil Engineering Association, he actively contributes to his field. However, his limited research publications, need for improved English proficiency, and lack of research funding present areas for growth. Strengthening his global collaborations, securing research grants, and increasing his publication volume would enhance his competitiveness. While he is a promising candidate for the Best Researcher Award, further research impact and interdisciplinary collaboration would solidify his position as a top contender.

Professional Profile 

Education🎓

Wallelign Mulugeta Nebiyu holds a Master of Science in Civil Engineering (Construction Technology and Management) from Bahir Dar University, where he also earned his Bachelor of Science in Civil Engineering. His academic journey is complemented by a Higher Diploma as a Certified Professional Teacher Educator, enhancing his teaching capabilities. He has further strengthened his expertise through specialized training in Building Information Modeling (BIM) Architecture and Project Management, both obtained from Bahir Dar University. Additionally, he has participated in an international training workshop on the Chinese construction industry at Zhejiang College of Construction and completed a Foundation of Project Management course from Florida University Southeast. His continuous pursuit of education and professional development underscores his commitment to innovation and excellence in civil engineering. These qualifications, along with his technical proficiency in engineering software, position him as a knowledgeable and skilled academic and researcher in construction technology and sustainable engineering practices.

Professional Experience 📝

Wallelign Mulugeta Nebiyu has extensive professional experience in academia and research. He is currently a lecturer at Bahir Dar University, where he teaches undergraduate students, co-advises master’s students, and engages in research and community service projects. Previously, he served as an assistant lecturer at the same university, contributing to curriculum development and student mentorship. His leadership skills are reflected in his role as Chair Holder for Construction Technology and Management. Beyond teaching, he has participated in community service initiatives, such as preparing a Bill of Quantities (BoQ) document for the Amhara regional environmental protection office. His expertise extends to project management, as evidenced by his certifications in BIM Architecture and Project Management. Additionally, he has presented research at international conferences and contributed to sustainability-focused studies. With a strong foundation in civil engineering and construction management, he continues to advance knowledge in the field through research, teaching, and professional collaborations.

Research Interest🔎

Wallelign Mulugeta Nebiyu’s research interests focus on sustainability, recycling, and advanced construction technologies. His work explores innovative solutions for sustainable infrastructure, particularly in the reuse of construction materials, green building practices, and the application of BIM technology in construction management. He has conducted studies on recycled aggregate concrete and the influence of steel slag as a partial replacement in reinforced concrete, contributing to the development of eco-friendly building materials. His passion for sustainability aligns with global efforts to reduce construction waste and improve material efficiency. Additionally, he is interested in digital transformation in construction, emphasizing the role of BIM in optimizing project management and execution. Through his research, he aims to enhance structural performance while promoting environmental responsibility. By expanding his interdisciplinary collaborations and securing research funding, he seeks to make a greater impact in the fields of construction technology, materials engineering, and sustainable development.

Award and Honor🏆

Wallelign Mulugeta Nebiyu has received recognition for his contributions to civil engineering and research. His most notable achievement includes publishing in reputable journals such as Springer, reflecting his commitment to advancing knowledge in construction technology and sustainability. Additionally, he has been entrusted with leadership roles, such as Chair Holder for Construction Technology and Management at Bahir Dar University, demonstrating his influence in academia. He has also been invited to present his research at international conferences, including the International Conference on Advances of Science and Technology, where he shared his findings on recycled aggregate concrete. His certifications in BIM Architecture and Project Management further highlight his dedication to professional development. While he has gained recognition within his academic and professional community, securing additional research grants, winning prestigious research awards, and expanding his international collaborations would further strengthen his profile. His growing impact in sustainable construction research positions him as a promising candidate for future accolades.

Research Skill🔬

Wallelign Mulugeta Nebiyu possesses strong research skills in civil engineering, particularly in sustainability, recycling, and construction technology. He has expertise in experimental research, data analysis, and the application of advanced construction materials, as demonstrated by his studies on recycled aggregate concrete and steel slag in reinforced concrete. His ability to conduct in-depth investigations and publish in reputable journals, such as Springer, showcases his proficiency in academic writing and scientific communication. Additionally, his experience in Building Information Modeling (BIM) enhances his capability to integrate digital technologies into construction research. He has presented his findings at international conferences, reflecting his ability to engage with the global research community. While he has a solid foundation in research methodologies, improving his English proficiency and securing external research funding could further strengthen his contributions. By expanding his interdisciplinary collaborations, he can enhance the impact of his work in sustainable construction and digital engineering.

Conclusion💡

Wallelign Mulugeta Nebiyu is a promising researcher with a strong foundation in civil engineering, sustainability, and construction technology. His contributions to teaching, research, and community service make him a good candidate for the Best Researcher Award. However, to enhance his competitiveness, he should focus on increasing his research output, securing research funding, improving English proficiency, and expanding interdisciplinary collaborations. If the award criteria prioritize research impact and publication volume, he may need more high-impact research contributions to be a strong contender.

Publications Top Noted✍️

  • Title: Influence of Steel Slag as a Partial Replacement of Aggregate on Performance of Reinforced Concrete Beam
    Authors: TB Mekonen, TE Alene, YA Alem, WM Nebiyu
    Year: 2024
    Citations: 2

  • Title: Experimental Study of Recycled Aggregate Concrete Produced from Recycled Fine Aggregate
    Authors: WM Nebiyu, DA Nuramo, AF Ketema
    Year: 2022
    Citations: 2

  • Title: Partial Replacement of Sand with Recycled Concrete Fine Aggregate and Steel Slag in Cement Mortar
    Authors: WT Tsega, MD Yehualaw, BW Yifru, WM Nebiyu, Muluken Zegeye Getie, Kibret Mequanint, Molla Asmare Alemu, Getinet Yenealem
    Year: (Not specified)
    Citations: (Not available)