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.

Jinghe Yang | Engineering | Best Researcher Award

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Prof. Dr. Jinghe Yang | Engineering | Best Researcher Award

Deputy Head at China Institute of Atomic Energy, China

Prof. Jinghe Yang is a distinguished researcher and professor at the China Institute of Atomic Energy, specializing in the development of advanced accelerator technologies. As Deputy Head of the Linear Accelerator Laboratory, he has made significant contributions to the design, optimization, and application of both electron and proton linear accelerators. His expertise spans accelerator physics, beam dynamics, and high-intensity particle transmission, with a focus on both theoretical modeling and experimental implementation. Through his leadership, Prof. Yang has advanced several large-scale projects in accelerator science, bridging the gap between fundamental research and applied technology in fields such as nuclear energy, medical therapy, and materials science. With a strong academic foundation and active involvement in collaborative initiatives, he has established himself as a leading figure in accelerator physics research. His work reflects not only technical excellence but also a commitment to fostering innovation and advancing scientific discovery on a global scale.

Professional Profile 

Scopus Profile

Education

Prof. Yang completed both his Master’s and Ph.D. degrees at the China Institute of Atomic Energy, where he developed a strong foundation in nuclear and accelerator physics. His graduate research focused on the study of accelerator structures, beam focusing mechanisms, and particle transmission technologies, equipping him with both theoretical insights and practical engineering experience. The rigorous training provided by the Institute’s advanced research facilities allowed him to gain hands-on expertise in experimental design, accelerator modeling, and high-energy beam applications. Throughout his academic journey, Prof. Yang combined coursework with research-intensive projects that fostered critical thinking, problem-solving, and innovation in accelerator technology. His academic background has provided him with the ability to approach complex engineering challenges with precision and creativity. These qualifications not only laid the groundwork for his professional career but also enabled him to become a recognized leader in the specialized field of accelerator science and technology.

Experience

Since joining the China Institute of Atomic Energy as a professor engineer, Prof. Yang has accumulated extensive experience in accelerator development and laboratory leadership. As Deputy Head of the Linear Accelerator Laboratory, he has overseen research initiatives focused on electron linear accelerator physics, beam transmission technologies, klystron development, and high-intensity proton beam applications. His role includes managing large-scale projects, supervising researchers and students, and contributing to the Institute’s mission of advancing nuclear and accelerator technologies. Prof. Yang has worked on the development of critical proton linear acceleration structures such as RFQ, DTL, and superconducting cavities, each playing a vital role in high-energy physics and applied sciences. His professional experience extends beyond technical contributions, as he actively collaborates with both domestic and international research teams to foster innovation and knowledge exchange. Through these roles, Prof. Yang has demonstrated a strong ability to integrate research, leadership, and applied engineering for scientific advancement.

Research Interest

Prof. Yang’s primary research interests center on the physics, design, and technological development of particle accelerators. He is particularly engaged in advancing the performance of electron linear accelerators, exploring beam focusing, transmission technologies, and enhancing the efficiency of high-intensity beams. His work in klystron development and proton beam acceleration has significant implications for applications in nuclear physics, medical therapy, and energy systems. He is also deeply interested in developing advanced accelerator structures such as RFQ, DTL, and superconducting cavities, which are critical for both research facilities and applied science environments. Beyond fundamental research, Prof. Yang’s interests extend to interdisciplinary applications of accelerator technology in healthcare, materials analysis, and industrial innovation. He is committed to expanding accelerator science through international collaborations and by integrating novel engineering methods with theoretical approaches. His research vision reflects a balance between scientific discovery and the pursuit of real-world applications that benefit society.

Awards and Honors

Prof. Yang has received recognition for his outstanding contributions to accelerator science and nuclear technology through various professional awards and honors. His leadership in pioneering research on linear accelerators has earned him accolades within academic and scientific communities. His contributions to large-scale accelerator projects have been acknowledged by research organizations and professional societies, reflecting both his technical expertise and commitment to innovation. In addition to research awards, Prof. Yang has been honored for his leadership in laboratory management, mentorship of young researchers, and active role in fostering scientific collaboration. He is also affiliated with professional organizations such as IEEE and other research associations, which further highlight his standing in the global research community. These honors underscore his role as both a dedicated scientist and an academic leader, whose work has advanced accelerator physics and contributed meaningfully to technological progress and scientific understanding at national and international levels.

Research Skills

Prof. Yang possesses a comprehensive set of research skills that span both theoretical and experimental domains in accelerator physics. His expertise includes the design and optimization of electron and proton linear accelerators, advanced beam dynamics analysis, and the development of accelerator components such as RFQ, DTL, and superconducting cavities. He has strong capabilities in electron beam focusing and transmission technology, as well as in klystron research and development. His skills also extend to computational modeling, experimental testing, and the integration of accelerator systems for high-performance applications. Prof. Yang’s leadership in laboratory management has further strengthened his abilities in project coordination, research supervision, and interdisciplinary collaboration. Additionally, he has a proven track record of publishing research in reputed journals and presenting findings at international conferences. These skills position him as a versatile and innovative researcher, capable of driving forward both fundamental scientific discoveries and practical engineering solutions in accelerator technology.

Publication Top Notes

Title: Design of 200 MHz CW He2+ APF-DTLs for 211At production
Year: 2025
Journal: Nuclear Engineering and Technology

Title: A new tuning method based on quantitative compensation for uniform and non-uniform travelling-wave accelerating structures
Year: 2025
Journal: Results in Physics

Conclusion

Prof. Jinghe Yang is a highly deserving candidate for the Best Researcher Award due to his significant contributions to accelerator physics and nuclear research. His pioneering work in the development of electron and proton accelerator technologies has advanced both scientific knowledge and practical applications in energy and healthcare. With strong academic training, leadership within the China Institute of Atomic Energy, and impactful research outputs, Prof. Yang represents an exceptional researcher whose work contributes not only to scientific advancement but also to societal progress. With continued dedication to international collaboration and leadership in global research forums, Prof. Yang is well-positioned to make even greater contributions in the future.

Kin Fai Tong | Engineering | Best Researcher Award

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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

Mohamed Zakaria | Engineering | Best Researcher Award

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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

Daniel Mmereki | Engineering | Best Researcher Award

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Dr. Daniel Mmereki | Engineering | Best Researcher Award

Research Coordinator at University of the Witwatersrand, South Africa

Daniel Mmereki is a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, South Africa, with an academic background rooted in environmental science and exposure science. He holds a PhD in Engineering (Exposure Science) from Chongqing University, China, and an MSc in Environmental Science from the University of Botswana. Daniel has garnered considerable international recognition, as evidenced by his NRF C2 rating, and has experience working across several countries, including Botswana, China, Vietnam, and South Africa. His work bridges multiple disciplines, integrating environmental science, public health, and advanced technologies such as AI and machine learning. Daniel is passionate about addressing global challenges, particularly those related to environmental health and public health. His expertise includes environmental exposure assessments, statistical methods, research project management, and postgraduate student supervision.

Professional Profile

Education

Daniel Mmereki’s academic journey is distinguished by degrees and training in environmental science and exposure science. He earned his PhD in Engineering (Exposure Science) from Chongqing University in China, a program that allowed him to gain expertise in assessing environmental exposures and their implications on public health. Prior to his PhD, he completed his MSc in Environmental Science and a Bachelor’s degree in Environmental Science, both at the University of Botswana. His education is complemented by additional specialized training in statistical analysis, research project management, and machine learning. These qualifications equip him with a multidisciplinary approach to tackling complex research challenges. Throughout his academic career, Daniel has been committed to gaining in-depth knowledge and improving his technical skills in environmental and public health research.

Professional Experience

Daniel has accumulated extensive professional experience in academic and research settings, both in South Africa and internationally. As a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, he is involved in advanced public health research, focusing on environmental exposures and their impact on human health. His earlier work includes conducting research across Botswana, China, and Vietnam, where he applied his expertise in exposure science to a variety of environmental challenges. Additionally, Daniel has supervised postgraduate students, contributing to the academic development of emerging researchers. His professional experience also includes training in specialized areas such as project budgeting, writing research proposals, and applying statistical methods using software like STATA, STATISTICA, and SPSS. These roles have honed his skills in research leadership, project management, and mentorship.

Research Interests

Daniel Mmereki’s research interests lie at the intersection of environmental science, exposure science, and public health. He focuses on understanding the environmental factors that influence human health, particularly in the context of global environmental changes. His work involves assessing exposure to environmental pollutants and their health effects, with a special interest in how these factors contribute to chronic diseases. Daniel’s recent interests also include exploring the application of machine learning and AI techniques in public health research, aiming to identify patterns and trends in environmental health data. He is particularly passionate about addressing global public health challenges through data-driven approaches and interdisciplinary solutions. His research contributes to a better understanding of environmental health risks and aims to inform policy and public health strategies aimed at reducing these risks.

Awards and Honors

Daniel Mmereki has been recognized for his significant contributions to environmental science and public health research. His notable recognition includes the NRF C2 rating, which signifies considerable international recognition for his research impact and influence. This prestigious rating is a testament to his contributions to the field, particularly in the areas of exposure science and environmental health. Daniel has also received various honors and awards throughout his academic and professional career for his innovative research projects and academic leadership. His ability to merge advanced statistical methods with environmental science has positioned him as a respected researcher in his field. As he continues his career, Daniel’s work is expected to inspire further recognition for its global impact on public health and environmental policy.

Conclusion

Daniel Mmereki has a solid academic and research foundation with significant international experience and recognition in his field. His achievements in environmental science, exposure science, and public health demonstrate his capability for the Best Researcher Award. However, to further solidify his candidacy, he could focus on enhancing the public health impact of his work, increasing his publication presence, and applying machine learning in novel ways within his research areas. Overall, he has the potential to be a standout researcher with further refinement of these aspects.

Publications Top Noted

  • Bladder cancer: a retrospective audit at a single radiation oncology unit of an academic hospital in Johannesburg, South Africa
    📝 Authors: Oliver, T., Ramiah, D., Mmereki, D., Hugo, M., Ayeni, O.A.
    📅 Year: 2024
    📚 Citations: 0
  • Phthalates on indoor surfaces and associated exposure via surface touch behavior: Observation in university dormitories and its implications
    📝 Authors: Yuan, F., Sun, Y., Li, N., Xu, Y., Bu, Z.
    📅 Year: 2024
    📚 Citations: 0
  • The management and prevention of food losses and waste in low- and middle-income countries: A mini-review in the Africa region
    📝 Authors: Mmereki, D., David, V.E., Wreh Brownell, A.H.
    📅 Year: 2024
    📚 Citations: 6
  • Reducing children’s exposure to di(2-ethylhexyl) phthalate in homes and kindergartens in China: Impact on lifetime cancer risks and burden of disease
    📝 Authors: Tao, D., Sun, W., Mo, D., Dong, C., Bu, Z.
    📅 Year: 2024
    📚 Citations: 1
  • Status of health care waste management plans and practices in public health care facilities in Gauteng Province, South Africa
    📝 Authors: Ramodipa, T., Engelbrecht, K., Mokgobu, I., Mmereki, D.
    📅 Year: 2023
    📚 Citations: 1
  • Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review
    📝 Authors: Mmereki, D., Brouwer, D.
    📅 Year: 2022
    📚 Citations: 1
  • Waste-to-energy in a developing country: The state of landfill gas to energy in the Republic of South Africa
    📝 Authors: Mbazima, S.J., Masekameni, M.D., Mmereki, D.
    📅 Year: 2022
    📚 Citations: 14
  • Exposure to phthalates in the sleeping microenvironment of university dormitories: A preliminary estimate based on skin wipe and dust sampling
    📝 Authors: Yao, J., Hu, M., Yuan, F., Zheng, Y., Bu, Z.
    📅 Year: 2022
    📚 Citations: 8
  • Modeled exposure to phthalates via inhalation and dermal pathway in children’s sleeping environment: A preliminary study and its implications
    📝 Authors: Bu, Z., Dong, C., Mmereki, D., Ye, Y., Cheng, Z.
    📅 Year: 2021
    📚 Citations: 13
  • Phthalates in Chinese vehicular environments: Source emissions, concentrations, and human exposure
    📝 Authors: Bu, Z., Hu, M., Yuan, F., Cao, J., Zheng, Y.
    📅 Year: 2021
    📚 Citations: 8

Xiaotian Wang | Engineering Award | Excellence in Research

Published on by NESIN Awards

Mr. Xiaotian Wang | Engineering Award | Excellence in Research

Associate Professor at Northwestern Polytechnical University, China

Xiaotian Wang, an Associate Professor at Northwestern Polytechnical University, holds both a Master’s and a Ph.D. degree, earned in 2016 and 2020, respectively, from the same institution. His academic background and current position within a renowned university are strong indicators of his expertise and commitment to research. His specialized focus on computer vision and remote sensing image processing, particularly in object detection and tracking, aligns with cutting-edge technological advancements in these fields. Wang’s contributions to unmanned systems research further highlight his alignment with contemporary research trends and his potential to lead innovative projects.

Professional Profile

Education

Dr. Xiaotian Wang completed his Master’s degree and Ph.D. in the field of Computer Vision and Remote Sensing from Northwestern Polytechnical University, Xi’an, China. He earned his Master’s in 2016 and his Ph.D. in 2020, both from the same prestigious institution. Throughout his education, Dr. Wang developed a deep understanding of machine learning, artificial intelligence, and their applications in unmanned systems. His academic journey involved rigorous research in object detection and tracking algorithms, which he continued to develop through various academic and practical projects. His research contributions were shaped by the rigorous training and mentorship he received during his graduate studies. Dr. Wang’s education provided him with a strong theoretical foundation and the technical expertise necessary to conduct pioneering research in remote sensing image processing and computer vision, making him a recognized expert in his field.

Experience

Dr. Xiaotian Wang is currently an Associate Professor at Northwestern Polytechnical University, where he has made significant contributions to research and development in unmanned systems and remote sensing. His primary focus is on computer vision, particularly object detection and tracking technologies that have important applications in surveillance, robotics, and unmanned vehicles. Prior to his current position, Dr. Wang has been actively involved in several key research projects, collaborating with national and international researchers in the development of cutting-edge technologies for unmanned systems. His expertise in integrating computer vision algorithms with remote sensing has led to several innovative solutions in the field. Additionally, he actively mentors graduate students and early-career researchers, guiding them in advancing their knowledge and research skills in these high-tech domains. His academic and research experience provides a foundation for developing practical, scalable solutions in remote sensing and unmanned technologies.

Research Focus

Dr. Xiaotian Wang’s research primarily revolves around computer vision and remote sensing image processing, with a particular emphasis on object detection and tracking technologies. His work has a significant focus on unmanned systems, where he explores innovative approaches for navigating and processing data from remote sensing devices. Dr. Wang’s research aims to enhance the capabilities of unmanned vehicles, such as drones, through improved object detection and tracking algorithms that enable these systems to interpret and respond to their environments autonomously. This work is crucial for applications in fields like autonomous vehicles, surveillance, and environmental monitoring. By advancing the integration of computer vision with remote sensing, Dr. Wang seeks to bridge the gap between real-time decision-making and automated systems. His research plays a key role in advancing the field of unmanned systems, which are becoming increasingly vital in many industries, including defense, transportation, and agriculture.

Conclusion

Xiaotian Wang demonstrates a strong research profile with a clear focus on advancing unmanned systems and remote sensing technology, which are highly relevant to both scientific and practical applications. His academic and research contributions make him an excellent candidate for the Excellence in Research Award.

Publications Top Noted

Cross-Attention-Driven Adaptive Graph Relational Network for Multilabel Remote Sensing Scene Classification”

Authors: Bi, H., Chang, H., Wang, X., Hong, D.

Citations: 0

Year: 2024

Journal: IEEE Transactions on Geoscience and Remote Sensing

Volume: 62

Article ID: 5224414

“Complexity Evaluation of Aerial Infrared Countermeasure Scenes”

Authors: Xie, F., Dong, M., Wang, X., Yang, D., Yan, J.

Citations: 0

Year: 2024

Journal: IEEE Transactions on Aerospace and Electronic Systems

“Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification”

Authors: Jin, W., Jiang, M., Tao, T., Zhao, B., Yang, G.

Citations: 0

Year: 2024

Journal: IEEE Transactions on Big Data

“A Research on Rapid Assessment of Cross-Domain Perceptual Fidelity for Practical Applications”

Authors: Tao, W., Wang, X., Yan, T., Zeng, Q., Lu, R.

Citations: 0

Year: 2024

Conference: Proceedings of the 3rd Conference on Fully Actuated System Theory and Applications (FASTA 2024)

“An Improved Small Infrared Target Detection Algorithm Based on Yolov5”

Authors: Wang, X., Yang, Z., Sun, Y., Qian, C., Zhao, Y.

Citations: 0

Year: 2024

Conference: Lecture Notes in Electrical Engineering (LNEE), 1175, pp. 405–413

“Detection of Occlusion-Resistant Based on Improved YOLOv7”

Authors: Tao, W., Wang, K., Li, Y., Yan, T., Wang, X.

Citations: 0

Year: 2024

Conference: Lecture Notes in Electrical Engineering (LNEE), 1173, pp. 430–439

“ESF-YOLO: an accurate and universal object detector based on neural networks”

Authors: Tao, W., Wang, X., Yan, T., Liu, Z., Wan, S.

Citations: 0

Year: 2024

Journal: Frontiers in Neuroscience

Volume: 18

Article ID: 1371418

“An Infrared Small Target Detection Method Based on Attention Mechanism”

Authors: Wang, X., Lu, R., Bi, H., Li, Y.

Citations: 3

Year: 2023

Journal: Sensors (Basel, Switzerland)

Volume: 23

Issue: 20

“SiamCAR-Kal: anti-occlusion tracking algorithm for infrared ground targets based on SiamCAR and Kalman filter”

Authors: Fu, G., Zhang, K., Yang, X., Tian, X., Wang, X.T.

Citations: 0

Year: 2023

Journal: Machine Vision and Applications

Volume: 34

Issue: 3

Article ID: 43

“Robust small infrared target detection using multi-scale contrast fuzzy discriminant segmentation”

Authors: Wang, X., Xie, F., Liu, W., Tang, S., Yan, J.

Citations: 5

Year: 2023

Journal: Expert Systems with Applications

Volume: 212

Article ID: 118813