Metwally Rashad | Energy | Best Researcher Award

Published on 09/07/202509/07/2025 by Academic Awards

Dr. Metwally Rashad | Energy | Best Researcher Award

Dr. Metwally Rashad, Prince Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Metwally Rashad is an Assistant Professor of Computer Science at the Faculty of Computers & Artificial Intelligence, Benha University, Egypt. He earned his Ph.D. in Computer Science from the University of Pannonia, Hungary, specializing in image processing and computer vision. With over 18 years of academic experience, he has taught a wide range of courses, including artificial intelligence, medical image processing, and computer graphics. Dr. Rashad has published extensively in high-impact journals and conferences, with notable work in object recognition, video summarization, and medical image retrieval. He has supervised numerous M.Sc. and Ph.D. students and actively contributes to research in AI, deep learning, and data mining. He holds leadership roles within his faculty, including executive director of the IT unit and faculty board member. A recipient of international publishing awards, Dr. Rashad is a committed researcher with global exposure and a strong background in both teaching and applied research.

Publication Profile

Google Scholar

🎓 Academic Qualifications

Dr. Metwally Rashad has pursued a progressive academic path rooted in mathematics and computer science. He earned his B.Sc. in Mathematics in 2002 from the Faculty of Science at Benha University, Egypt. In 2006, he completed a two-year Diploma in Computer Science from the Institute of Statistical Studies and Research (ISSR) at Cairo University, reflecting his growing interest in computational systems. Building on this foundation, he completed a Pre-master program in Computer Science at Benha University in 2008. His M.Sc., awarded in 2013 from the same institution, focused on string representation for efficient mining and searching over string databases. Dr. Rashad advanced his academic career further by earning a Ph.D. in Computer Science from the University of Pannonia, Hungary, in 2018. His doctoral research centered on video-based object retrieval and recognition using lightweight devices, aligning with cutting-edge developments in image processing and computer vision. His qualifications demonstrate a consistent dedication to both theoretical and applied computing sciences.

👨‍🏫 Professional Positions

Dr. Metwally Rashad has built a robust academic career through progressive roles at Benha University, Egypt. He began as a Demonstrator in the Department of Mathematics (Computer Science), Faculty of Science, from 2004 to 2009. In 2010, he transitioned to the Faculty of Computers & Informatics, continuing as a Demonstrator in the Information System Department until 2011. His dedication and academic growth led to his promotion as an Assistant Lecturer in the same department, a position he held from 2012 to 2017. In 2018, Dr. Rashad was appointed Assistant Professor in the Information System Department, Faculty of Computers & Artificial Intelligence. Since April 2020, he has been serving as an Assistant Professor in the Computer Science Department of the same faculty. Throughout his tenure, Dr. Rashad has demonstrated strong commitment to research, education, and leadership, contributing significantly to the development of the academic and research landscape at Benha University.

🔬 Research Interests

Dr. Metwally Rashad’s research interests encompass a wide range of cutting-edge topics in computer science and artificial intelligence. He specializes in exact and approximate matching, with a strong focus on similarity search and similarity join techniques, which are vital for efficient data comparison and retrieval. His work also explores data cleaning and integration methods, enhancing the quality and usability of large datasets. Dr. Rashad is deeply engaged in database systems and data mining, aiming to extract meaningful patterns from complex data structures. His research extends into the fields of cryptography, image processing, and computer vision, where he applies innovative techniques for object recognition and image analysis. Additionally, he is active in machine learning and deep learning, leveraging these technologies to solve real-world problems. A significant portion of his work involves video processing and artificial intelligence applications, making his contributions highly relevant in today’s data-driven and multimedia-intensive landscape

📘 Teaching

Dr. Metwally Rashad has taught a wide array of undergraduate and postgraduate courses in computer science and artificial intelligence, reflecting his deep expertise and versatility as an academic. His teaching portfolio includes foundational programming languages such as C++, Java, and Matlab, as well as critical subjects like Data Structures, Algorithms, and File Structures. He has also delivered advanced courses in Artificial Intelligence, Machine Learning, and Expert Systems, along with specialized topics like Image Processing, Medical Image Processing, and Computer Vision. Dr. Rashad’s instruction covers essential theoretical areas, including Theory of Computation, Logic Design, Discrete Mathematics, and Structural Programming. He is also experienced in teaching Information Systems, Database Design, Compiler Construction, and Security. His course offerings further extend to emerging and interdisciplinary areas like Information Visualization, Multimedia, Computer Graphics, and Operations Research. This comprehensive teaching background underscores his commitment to fostering technical excellence and innovation among his students.

🏅 Grants and Awards

Dr. Metwally Rashad has been recognized for his impactful research through multiple prestigious awards and grants. He was honored with the International Publishing Prize and Citations from Benha University on two separate occasions—first in January 2018 and again in July 2020—in acknowledgment of his significant contributions to high-impact scientific publications. In addition to these accolades, Dr. Rashad secured a post-doctoral research grant from the Tempus Public Foundation (TPF), supporting his research stay at the Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Hungary, from February to May 2020. These recognitions not only highlight his excellence in publishing and international collaboration but also reflect his sustained commitment to advancing knowledge in computer science and artificial intelligence. His achievements stand as a testament to his academic leadership and contribution to global research innovation.

🔍 Research Focus

Dr. Metwally Rashad’s research primarily centers around Artificial Intelligence (AI), Computer Vision, and Data-Driven Healthcare Systems, with a strong interdisciplinary approach linking image processing, machine learning, and information retrieval. His most cited works involve irony detection in Arabic tweets, medical image retrieval, video object recognition, and string similarity join algorithms—reflecting his deep engagement with natural language processing (NLP), deep learning, and visual data analytics. A recurring theme in his publications is the development of lightweight, efficient models for video summarization, emotion recognition, and 3D object retrieval, optimized for low-resource environments. Additionally, he contributes to healthcare technologies through AI-assisted diagnosis, content-based retrieval in medical imaging, and melanoma detection using deep neural networks. His research aligns with the growing global emphasis on AI for smart healthcare, secure cloud computing, and intelligent multimedia processing, making him highly suitable for recognition in advanced computational and AI-powered research categories

Publication Top Notes

📘 BENHA@ IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach – Cited by 31 (2019) 🧠🗣️📊
📘 RbQE: An Efficient Method for Content-Based Medical Image Retrieval Based on Query Expansion – Cited by 17 (2023) 🖼️🧬📥
📘 PreJoin: An Efficient Trie-Based String Similarity Join Algorithm – Cited by 9 (2012) 🧵📚🔍
📘 View Centered Video-Based Object Recognition for Lightweight Devices – Cited by 8 (2016) 🎥🔎📱
📘 CCNN-SVM: Emotion Recognition with Custom CNNs and SVM – Cited by 7 (2024) 😊📈🧠
📘 Content-Based Medical Image Retrieval Based on Deep Features Expansion – Cited by 7 (2022) 🏥🧠🔎
📘 Use of IMUs for Video Object Retrieval in Lightweight Devices – Cited by 7 (2017) 🎥📡🤖
📘 Lightweight Active Object Retrieval with Weak Classifiers – Cited by 6 (2018) 📽️📊🧠
📘 Lightweight Video Object Recognition Based on Sensor Fusion – Cited by 5 (2015) 📹📡🔀
📘 Modern Techniques in Content-Based Medical Image Retrieval: A Survey – Cited by 4 (2022) 🏥📚📈
📘 Active Multiview Recognition with Hidden Markov Temporal Support – Cited by 4 (2021) 🧠📽️🔁
📘 Efficient String Edit Similarity Join Algorithm – Cited by 4 (2017) 🧵📝⚙️
📘 Fusion of Optical and Orientation Info in Markovian Framework for 3D Object Retrieval – Cited by 4 (2017) 🎥📐📊
📘 Automatic Melanoma Detection Using Deep Neural Networks – Cited by 2 (2024) 🧬🧠⚕️

Jixiang Dai | Clean Energy | Excellence in Innovation

Published on 02/07/202502/07/2025 by Academic Awards

Mr. Jixiang Dai | Clean Energy | Excellence in Innovation

Mr. Jixiang Dai, Wuhan University of Technology, China

Mr. Jixiang Dai is an accomplished researcher at the Wuhan University of Technology, specializing in hydrogen-sensitive materials and optical fiber sensing technology. With a Ph.D. in hydrogen-sensitive films and over a decade of research experience, he has developed advanced WO₃- and Pd-based nanocomposite films for fiber optic hydrogen, temperature, and humidity sensors. Mr. Dai possesses extensive expertise in magnetron sputtering, e-beam deposition, FBG writing, ellipsometry, and advanced material characterization methods. He has led multiple nationally funded projects, including those under China’s National Key R&D Program, focusing on intrinsically safe hydrogen sensing systems. His outstanding work has earned him prestigious honors, such as the Second Prize of the China Instrument and Control Society for Technical Invention and the Hubei Province Natural Science Award. Mr. Dai has authored over 15 high-impact journal papers in Nanomaterials, Optics Letters, and Sensors and Actuators B, significantly advancing fiber optic sensor technology for safety and energy applications.

Publication Profile

Scopus

Expertise

Mr. Jixiang Dai is a highly skilled researcher with deep expertise in the synthesis of hydrogen-sensitive materials, particularly WO₃-based and Pd-based nanocomposite films. His work focuses on developing advanced fiber optic sensors capable of detecting hydrogen, temperature, and humidity with high sensitivity and precision. He has significant experience in designing complete sensing systems tailored for safety-critical environments. Mr. Dai is proficient in operating sophisticated deposition systems such as magnetron sputtering and e-beam assisted techniques, and is adept at fabricating fiber Bragg gratings (FBGs) using the phase mask method. He is also skilled in measuring optical constants using ellipsometry and simulating optical properties with RSoft and TFC software. Additionally, he is well-versed in a wide range of material characterization tools, including XRD, SEM, EDAX, TEM, XPS, and AFM. His multidisciplinary skill set enables him to bridge material science and optical engineering for innovative sensor development.

Work and Education Background

Mr. Jixiang Dai has a strong academic and professional background in optical fiber sensing and materials science. Since July 2013, he has been serving as an associate researcher at the National Engineering Laboratory for Fiber Optic Sensing Technology, where he initially worked as an assistant researcher until December 2017. His research focuses on advanced optical fiber sensing technologies. He earned his Ph.D. from 2010 to 2013, concentrating on hydrogen-sensitive films under the mentorship of Professor Minghong Yang, a recipient of the National Distinguished Young Scholars of China. Prior to that, from 2008 to 2011, he completed his master’s degree focusing on fiber Bragg grating hydrogen sensors based on WO₃-Pd composite films, guided by Professor Dengsheng Jiang, an academician of the Chinese Academy of Engineering. Mr. Dai began his academic journey with a bachelor’s degree from 2004 to 2008, studying dielectric thin films under Professor Jing Zhou, laying the foundation for his research career.

Awards and Recognitions

Mr. Jixiang Dai has received notable awards in recognition of his significant contributions to the field of optical fiber sensing and materials science. He was honored with the Second Prize for Technical Invention by the China Instrument and Control Society, where he ranked second for his pioneering work in the development of advanced hydrogen sensing systems using nano-composite films. This award highlights his role in creating impactful technological innovations that enhance safety and performance in sensor applications. Additionally, Mr. Dai received the Second Prize in Natural Science from Hubei Province, also ranking second, in acknowledgment of his high-level scientific research in materials engineering and sensor development. These prestigious awards not only reflect the originality and value of his research but also demonstrate the national and regional recognition of his innovative achievements in advancing sensor technologies and their real-world applications in energy, safety, and environmental monitoring systems

Research Focus

Mr. Jixiang Dai’s Research Focus centers on optical fiber hydrogen sensing technologies with an emphasis on advanced nanomaterials like WO₃-based, Pd/Ta alloys, and graphene quantum dots. His work targets the design, enhancement, and integration of fiber Bragg grating (FBG)-based sensors, leveraging π-phase-shifted structures, optical heating, and ZIF-8 frameworks for heightened sensitivity. His innovations address hydrogen leakage detection, quasi-distributed sensor networks, and environmental sensing applications. The research spans sensor fabrication, performance optimization, and material characterization. 🚀 His impactful contributions are well-cited in journals like Optics Letters, IEEE, and International Journal of Hydrogen Energy.

Publication Top Notes

📄 Improved performance of a fiber-optic hydrogen sensor based on a controllable optical heating technology – Optics Letters, 2024 | 🔁 Cited by: 4 📅
📄 Pd–Ta alloy films hydrogen sensors based on partially coated π-phase-shifted FBG – Optical Materials, 2024 | 🔁 Cited by: 2 📅
📄 Quasi-distributed optical fiber hydrogen leakage detecting system based on bus chain topology structure – Optics Express, 2024 | 🔁 Cited by: 1 📅
📄 Improved performance of fiber-optic hydrogen sensor of porous Pt/WO₃ based on ZIF-8 – Int. J. of Hydrogen Energy, 2024 | 🔁 Cited by: 16 📅
📄 Performance of fiber hydrogen sensor with Pd/Ta composite films – Conference Paper, Year Not Specified | 🔁 Cited by: 0 📅
📄 Performance of fiber-optic hydrogen sensor based on locally coated π-shifted FBG – IEEE Sensors Journal, 2022 | 🔁 Cited by: 11 📅
📄 Ultra-high sensitive fiber optic hydrogen sensor in air – Journal of Lightwave Technology, 2022 | 🔁 Cited by: 12 📅
📄 TBAOH intercalated WO₃ for high-performance optical fiber hydrogen sensor – Int. J. of Hydrogen Energy, 2022 | 🔁 Cited by: 11 📅
📄 Advanced fiber-optic humidity sensor using graphene quantum dots doped polyimide – IEEE Photonics Tech. Lett., 2022 | 🔁 Cited by: 18 📅
📄 Novel optical fiber sensing with tantalum-based hydrogen sensing film – Acta Photonica Sinica, 2022

Jiapei Wei | Energy Economy | Best Researcher Award

Published on 02/05/202502/05/2025 by Academic Awards

Dr. Jiapei Wei | Energy Economy | Best Researcher Award

Dr. Jiapei Wei, School of Business Administration, China

Dr. Wei Jiapei is an Associate Researcher and Deputy Director of the Business Department at Guangxi University of Finance and Economics. She holds a Ph.D. from Huazhong Agricultural University and has served as a visiting scholar at Wuhan University and Curtin University in Australia. Specializing in sustainable development, Dr. Wei has published over 20 papers, including SCI, SSCI, and CSSCI-indexed journals, and authored three academic books. With extensive involvement in national and provincial research projects, she actively explores China’s economic sustainability and policy. She is recognized for her analytical skills and contributions to green economic transitions and agricultural waste utilization. 🌱📘

Publication Profile

Scopus

🎓 Education

Dr. Wei Jiapei obtained her Ph.D. from Huazhong Agricultural University, where she specialized in sustainable development and agricultural economics. Her academic training included theoretical grounding in economics, environmental policy, and resource management. She further expanded her international perspective through academic exchanges and visiting scholar roles at Wuhan University and Curtin University in Australia. These experiences enriched her interdisciplinary expertise and strengthened her research foundation in ecological economics, resource utilization, and green transformation. Her academic formation has laid a solid base for her significant contributions to environmental policy research and rural energy transition in the context of China’s development goals. 📚🌏

💼 Experience

Dr. Wei Jiapei is currently serving as an Associate Researcher and Deputy Director in the Department of Business at Guangxi University of Finance and Economics. She has extensive teaching and research experience and has led or participated in over 15 projects funded by national and provincial institutions. Her past appointments include roles as a visiting scholar at Wuhan University and Curtin University, enhancing her global research perspective. She has authored numerous academic papers and three books and has contributed to policymaking and implementation strategies for green transformation in resource-based enterprises and agricultural sectors. Her expertise lies in bridging theory and practice. 📊🌍

🏅 Awards and Honors

Dr. Wei Jiapei has been selected for the prestigious Guangxi “Thousand Talents Program” and recognized as a Young and Middle-aged Academic Leader at Guangxi University of Finance and Economics. These honors reflect her excellence in research, leadership in academic innovation, and commitment to regional development. Her research outputs have been acknowledged for their quality and relevance, earning her excellence ratings in several concluded projects. Dr. Wei’s work in sustainability, especially in agricultural waste utilization and corporate green transformation, continues to influence regional policy discourse and academic practice. Her career is marked by scholarly recognition and institutional impact. 🏆📖

🔬 Research Focus

Dr. Wei Jiapei’s research focuses on sustainable development, green economic transformation, agricultural waste utilization, and environmental policy. She has explored the dynamics of technological innovation, policy uncertainty, and green investment under China’s dual carbon goals. Her recent studies address the energy reuse of agricultural by-products, socio-economic costs of ecological transitions, and mechanisms driving green transformation in resource-based enterprises. Through interdisciplinary approaches combining economics, sustainability science, and strategic policy studies, she contributes to theoretical advancement and practical solutions for regional ecological modernization and carbon neutrality. Her work also includes bibliometric analyses and AI applications in renewable energy systems. 🌿🔍

Publication Top Notes

Artificial intelligence applications in hydrogen system: Advancing renewable energy utilization for global hydrogen economy and sustainability goals

Wenlong Cai | Electrochemistry | Best Researcher Award

Published on 26/04/202526/04/2025 by Academic Awards

Assist. Prof. Dr. Wenlong Cai | Electrochemistry | Best Researcher Award

Associate Professor at Sichuan University, China

Wenlong Cai is an accomplished Associate Professor at Sichuan University, specializing in Materials Science and Engineering. 🎓 He has pursued extensive research on next-generation energy storage technologies, focusing on lithium-ion, sodium-ion, and zinc-ion batteries 🔋. With a Ph.D. from the University of Science and Technology of China and postdoctoral work at Tsinghua University, Wenlong has earned recognition as a Double Hundred Talents Distinguished Expert 🏅. His innovative work aims to enhance battery performance across various environments, supporting sustainable energy solutions 🌱. Wenlong continues to lead cutting-edge research projects, shaping the future of material innovation and electrochemical science 🚀.

Publication Profile

Google Scholar

Academic Background

Wenlong Cai completed his Bachelor’s degree at Sichuan University in Light Chemical Engineering 🎯, then earned a Master’s in Chemical Engineering at Zhejiang University 🧪. He pursued his Ph.D. in Materials Physics and Chemistry at the University of Science and Technology of China 🥼, supported by a National Scholarship and working under Academician Yitai Qian 🏆. He then completed postdoctoral research at Tsinghua University in Chemical Engineering, co-advised by Distinguished Young Scholar Qiang Zhang 🔬. Throughout his academic journey, Wenlong consistently achieved top honors and scholarships, laying a strong foundation for his research career 📚.

Professional Background

Since 2021, Wenlong Cai has served as an Associate Professor at Sichuan University, focusing on materials science and fast-charging battery technology 🔋. From 2019 to 2021, he completed his prestigious Shuimu Scholar postdoctoral fellowship at Tsinghua University 🌟. During his Ph.D. from 2016 to 2019 at USTC, he specialized in material physics and chemistry 🔍. His early academic training includes a Master’s degree from Zhejiang University and a Bachelor’s degree from Sichuan University 🎓. Wenlong’s career highlights his steady rise through China’s top research institutions, marked by impactful research projects and growing academic influence 🚀.

Awards and Honors

Wenlong Cai has received numerous prestigious awards throughout his academic career 🏅. He was selected as a Double Hundred Talents Distinguished Expert by Sichuan Province 🌟. He earned the National Scholarship during both his Master’s and Ph.D. studies 🧠, along with School-level and Provincial-level Outstanding Graduate Awards 🥇. As a postdoctoral fellow, he was honored as a Shuimu Scholar at Tsinghua University 🏫. Earlier in his undergraduate years, he received Prize Scholarships three times for academic excellence 🎖️. These recognitions reflect his consistent excellence, innovation, and leadership potential in advanced material science research 🔬.

Research Focus

Wenlong Cai’s research focuses on the development of advanced anode materials like graphite, Si/C, and hard carbon for fast-charging lithium-ion batteries 🔋. He studies how solvation structures affect battery electrochemical performance across wide temperature and voltage ranges 🌡️⚡. His work includes designing carbon hosts and catalytic substrates for high-energy lithium-sulfur batteries 🧪. He specializes in advanced characterization techniques to reveal electrochemical mechanisms in Li, Na, and Zn-based secondary batteries 🔍. Through his innovative projects, he aims to revolutionize energy storage systems for improved efficiency, reliability, and environmental adaptability 🌎🚀.

Publication Top Notes

Regulating interfacial chemistry in lithium‐ion batteries by a weakly solvating electrolyte 📚
Year: 2021 📅 | Cited by: 592 📈

A review on energy chemistry of fast-charging anodes ⚡
Year: 2020 📅 | Cited by: 493 📈

Rationalizing electrocatalysis of Li–S chemistry by mediator design: progress and prospects 🔋
Year: 2020 📅 | Cited by: 408 📈

Inhibiting solvent co‐intercalation in a graphite anode by a localized high‐concentration electrolyte in fast‐charging batteries 🔥
Year: 2021 📅 | Cited by: 350 📈

Conclusion

In conclusion, Wenlong Cai is a highly promising candidate for the Research for Best Researcher Award, particularly suited for early-to-mid career recognition or national-level honors. With a Ph.D. from the University of Science and Technology of China, prestigious postdoctoral research at Tsinghua University as a Shuimu Scholar, and his current role as Associate Professor and Double Hundred Talents Distinguished Expert at Sichuan University, he has demonstrated strong academic excellence and research leadership. His work in advanced energy storage systems, including lithium-ion, sodium-ion, and zinc-ion batteries, addresses critical challenges in fast charging and low-temperature performance. Actively leading nationally funded research projects and producing highly cited publications, Wenlong Cai exemplifies innovation, dedication, and impactful contributions to the field of materials science and electrochemistry. For highly competitive international awards, additional global visibility through ultra-high-impact publications or major global recognitions could further strengthen his candidacy.

Joseph Agbogla | Renewable Energy | Best Researcher Award

Published on 15/04/202516/04/2025 by Academic Awards

Mr. Joseph Agbogla | Renewable Energy | Best Researcher Award

Dr. Hossein Pahlavan, Kumasi Technical University, Ghana

Mr. Joseph Agbogla is a dedicated Mechanical Engineer and academic professional with over two decades of experience spanning engineering, production management, and higher education. With a strong background in industrial operations at Guinness Ghana Breweries and academic instruction at Kumasi Technical University, he blends practical expertise with teaching excellence. Joseph is currently pursuing a PhD in Mechanical Engineering at KNUST, Kumasi, where he also previously earned his MSc and BSc degrees. Renowned for his leadership, innovation, and technical training, he continues to contribute significantly to industrial development and academic growth in Ghana and West Africa. 🌍📘

Publication Profile

Orcid

🎓 Education

Joseph Agbogla holds a BSc (Hons) in Mechanical Engineering from KNUST, Kumasi, where he also completed his MSc in Mechanical Engineering. He is currently pursuing a PhD in the same field at KNUST, further advancing his research and expertise. Additionally, he holds a Diploma in Beer Packaging from the Institute of Brewing and Distilling, UK, and successfully completed the APICS CPIM-Part 1 certification, focusing on supply chain management. His foundational education includes GCE Advanced and Ordinary Level certificates from top Ghanaian institutions. Joseph’s diverse academic background reflects his commitment to excellence in both engineering and industrial management. 🎓🔧

💼 Experience

Joseph Agbogla began his career as a Management Trainee at Guinness Ghana Breweries, rising through key roles including Shift Manager, Continuous Improvement Manager, Packaging Engineer, and Technical Training Manager. His tenure saw major contributions like reducing training gaps, enhancing production efficiency, and cutting spare part imports. As Lecturer at Kumasi Technical University since 2021, he teaches core engineering courses and mentors future professionals. With over 20 years of combined industrial and academic experience, Joseph has led strategic initiatives in packaging, lean manufacturing, and employee capability development across Ghana, Nigeria, and Cameroon. His leadership consistently drives performance and operational excellence. ⚙️📈

🏅 Awards and Honors

Joseph Agbogla’s professional journey is marked by significant achievements. At Guinness Ghana Breweries, he was instrumental in saving over $520,000 through technical upgrades and process improvements. His initiative in installing the first PET bottling line in Ghana and reducing production rework by 15% earned internal accolades. He also led the SAP Superuser training across sites, achieving 100% functional use within 6 months. His academic excellence is reflected in scholarships and distinctions throughout his studies. Joseph’s dedication to continuous improvement, safety leadership, and team performance has been consistently recognized both in industry and academia. 🏆💡

🔬 Research Focus

Joseph Agbogla’s current research as a PhD candidate in Mechanical Engineering at KNUST focuses on industrial automation, preventive maintenance, and process optimization in manufacturing systems. His interests intersect with lean manufacturing, root cause analysis, plant maintenance strategies, and energy efficiency within production lines. He explores advanced engineering methods to improve operational efficiency and reduce downtime. Drawing from rich industry experience, his research integrates real-world challenges with engineering solutions. Joseph’s goal is to enhance industrial reliability and workforce capability through sustainable and innovative engineering practices applicable across Ghana and beyond. 🧪🔧📊

Publication Top Notes

📘 “Techno-environmental assessment of the fuel properties of a variety of briquettes for biomass boiler applications” – CHARLES SEKYERE, R. Opoku, Benjamin Asaaga, Bismark Baah, P.Y. Andoh, G.Y. Obeng, Joseph Agbogla | Cleaner Energy Systems | 🗓️ 2025 | DOI: 10.1016/j.cles.2025.100185

🔋 “Soiling Estimation Methods in Solar Photovoltaic Systems: Review, Challenges and Future Directions” – J. Agbogla, C.K.K. Sekyere, F.K. Forson, R. Opoku, B. Baah | Results in Engineering | 🗓️ 2025 | DOI: 10.1016/j.rineng.2025.104810

Xuefeng Song | Photocatalysis | Best Researcher Award

Published on 03/04/202503/04/2025 by Academic Awards

Prof. Dr. Xuefeng Song | Photocatalysis | Best Researcher Award

Prof. Dr. Xuefeng Song, Shanghai Jiao Tong University, China

Prof. Dr. Xuefeng Song is a distinguished materials scientist specializing in functional micro/nanostructures, nanocomposites, and energy applications. He earned his Ph.D. in Materials Science from the Shanghai Institute of Ceramics, Chinese Academy of Sciences, in 2009. He further advanced his research as a Postdoctoral Fellow at the University of Cologne, Germany (2009-2012). Since 2012, he has been a key faculty member at Shanghai Jiao Tong University, leading groundbreaking research in photocatalysis, energy storage, and protective coatings. With over 100 publications in top-tier journals, 4,300+ citations, and 32 invention patents, his contributions to materials science are globally recognized. He has led over 20 major research projects, funded by prestigious institutions like the National Natural Science Foundation of China and the BMBF Fellowship in Germany. His numerous accolades, including the VinFuture Prize nomination and IAAM Fellowship, highlight his impact in the field.

Publication Profile

Google Scholar

Education 🎓📚

Prof. Dr. Xuefeng Song pursued his Ph.D. in Materials Science at the Shanghai Institute of Ceramics, Chinese Academy of Sciences, in 2009, focusing on the controlled synthesis of functional micro/nanostructures. He further enriched his academic expertise through a postdoctoral fellowship at the Institute of Inorganic Chemistry, University of Cologne, Germany, from 2009 to 2012, where he worked on innovative nanocomposite systems. Since 2012, he has been a faculty member at Shanghai Jiao Tong University, contributing to advanced research in energy materials and protective coatings. His academic journey is marked by extensive interdisciplinary research, blending chemistry, physics, and engineering to pioneer new material technologies. He has also contributed to three English-language academic monographs, enhancing global knowledge dissemination. His education provided a solid foundation for his pioneering work in photocatalysis, energy conversion, and nanostructured materials, positioning him as a leading scientist in materials research.

Experience 🏆🔬

Prof. Dr. Xuefeng Song has over a decade of research experience in materials science, focusing on nanostructured materials and energy applications. As a Principal Investigator, he has led over 20 major research projects, including those funded by the National Natural Science Foundation of China, the Shanghai Natural Science Foundation, and the HY Program of the Equipment Development Department. His expertise spans from laboratory research to industrial applications, particularly in photocatalysis, energy storage, and protective coatings. His work has led to significant advancements in sustainable energy solutions and advanced coatings. He has authored over 100 high-impact publications, earning 4,300+ citations, and filed 32 invention patents, with 28 already granted. His leadership in research has positioned him as an influential figure in nanomaterials and their applications in energy-efficient and environmentally friendly technologies, bridging the gap between scientific discovery and real-world innovation.

Awards & Honors 🏅🎖️

Prof. Dr. Xuefeng Song’s contributions to materials science have earned him numerous prestigious honors. He is a VinFuture Prize nominator, recognizing his influence in cutting-edge research. He has been awarded Fellowship of the International Association of Advanced Materials (IAAM) for his impact on materials innovation. As a Science Ambassador for Bentham Science Publishers, he actively promotes scientific advancements. He has also received the SMC-Chenxing Young Scholar Award, recognizing his outstanding early-career achievements. His research excellence has been acknowledged through prestigious talent programs, including the Longcheng Talent Program (Changzhou) and the Class B Scholar of the Ming Shi Zhi Xiang Program (Shaoxing). His global recognition, spanning academia and industry, underscores his exceptional contributions to nanomaterials, energy storage, and advanced coatings, making him a leading scientist in his field.

Research Focus 🔬⚡

Prof. Dr. Xuefeng Song’s research is centered on controlled synthesis of functional micro/nanostructures, the construction of nanocomposite systems, and their applications in photocatalysis, energy storage, and protective coatings. His work in photocatalysis focuses on developing advanced materials for efficient light-driven chemical reactions, crucial for environmental sustainability. His contributions to energy storage and conversion include innovations in battery and supercapacitor technologies, enhancing energy efficiency and performance. His research on protective coatings aims to develop high-performance, durable coatings for industrial applications. His interdisciplinary approach integrates chemistry, nanotechnology, and engineering to create next-generation materials for energy and environmental applications. His research has had a significant impact, with over 100 publications in top-tier journals, 4,300+ citations, and 32 patents, reinforcing his position as a leader in the field of advanced materials science. 🚀

Publication Top Notes

📄 Facile synthesis and hierarchical assembly of hollow nickel oxide architectures bearing enhanced photocatalytic properties | 🔗 X Song, L Gao | 🏛️ The Journal of Physical Chemistry C | 📅 2008 | 🔍 Cited by: 232

📄 Self‐Assembled α‐Fe₂O₃ Mesocrystals/Graphene Nanohybrid for Enhanced Electrochemical Capacitors | 🔗 S Yang, X Song, P Zhang, J Sun, L Gao | 🏛️ Small | 📅 2014 | 🔍 Cited by: 209

📄 Facile Synthesis of Nitrogen-Doped Graphene–Ultrathin MnO₂ Sheet Composites and Their Electrochemical Performances | 🔗 S Yang, X Song, P Zhang, L Gao | 🏛️ ACS Applied Materials & Interfaces | 📅 2013 | 🔍 Cited by: 177

📄 Mapping the surface adsorption forces of nanomaterials in biological systems | 🔗 XR Xia, NA Monteiro-Riviere, S Mathur, X Song, L Xiao, SJ Oldenberg, … | 🏛️ ACS Nano | 📅 2011 | 🔍 Cited by: 160

📄 Fabrication of hollow hybrid microspheres coated with silica/titania via sol–gel process and enhanced photocatalytic activities | 🔗 X Song, L Gao | 🏛️ The Journal of Physical Chemistry C | 📅 2007 | 🔍 Cited by: 156

📄 Covalently Coupled Ultrafine H-TiO₂ Nanocrystals/Nitrogen-Doped Graphene Hybrid Materials for High-Performance Supercapacitor | 🔗 S Yang, Y Lin, X Song, P Zhang, L Gao | 🏛️ ACS Applied Materials & Interfaces | 📅 2015 | 🔍 Cited by: 143

📄 Synthesis, characterization, and gas sensing properties of porous nickel oxide nanotubes | 🔗 X Song, L Gao, S Mathur | 🏛️ The Journal of Physical Chemistry C | 📅 2011 | 🔍 Cited by: 120

📄 Facile synthesis of polycrystalline NiO nanorods assisted by microwave heating | 🔗 X Song, L Gao | 🏛️ Journal of the American Ceramic Society | 📅 2008 | 🔍 Cited by: 116

📄 Synthesis, characterization, and optical properties of well-defined N-doped, hollow silica/titania hybrid microspheres | 🔗 X Song, L Gao | 🏛️ Langmuir | 📅 2007 | 🔍 Cited by: 116

📄 Active Fe₂O₃ nanoparticles encapsulated in porous g-C₃N₄/graphene sandwich-type nanosheets as a superior anode for high-performance lithium-ion batteries | 🔗 M Shi, T Wu, X Song, J Liu, L Zhao, P Zhang, L Gao | 🏛️ Journal of Materials Chemistry A | 📅 2016 | 🔍 Cited by: 106

📄 Heating-Rate-Induced Porous α-Fe₂O₃ with Controllable Pore Size and Crystallinity Grown on Graphene for Supercapacitors | 🔗 S Yang, X Song, P Zhang, L Gao | 🏛️ ACS Applied Materials & Interfaces | 📅 2015 | 🔍 Cited by: 104

📄 Phyllosilicate evolved hierarchical Ni-and Cu–Ni/SiO₂ nanocomposites for methane dry reforming catalysis | 🔗 T Wu, Q Zhang, W Cai, P Zhang, X Song, Z Sun, L Gao | 🏛️ Applied Catalysis A: General | 📅 2015 | 🔍 Cited by: 94

📄 ZnFe₂O₄ nanoparticles-cotton derived hierarchical porous active carbon fibers for high rate-capability supercapacitor electrodes | 🔗 S Yang, Z Han, F Zheng, J Sun, Z Qiao, X Yang, L Li, C Li, X Song, B Cao | 🏛️ Carbon | 📅 2018 | 🔍 Cited by: 90

📄 Surfactant-free hydrothermal synthesis of Cu₂ZnSnS₄ (CZTS) nanocrystals with photocatalytic properties | 🔗 J Wang, P Zhang, X Song, L Gao | 🏛️ RSC Advances | 📅 2014 | 🔍 Cited by: 89

📄 Crumpled nitrogen-doped graphene–ultrafine Mn₃O₄ nanohybrids and their application in supercapacitors | 🔗 S Yang, X Song, P Zhang, L Gao | 🏛️ Journal of Materials Chemistry A | 📅 2013 | 🔍 Cited by: 86

📄 Attapulgite modulated thorny nickel nanowires/graphene aerogel with excellent electromagnetic wave absorption performance | 🔗 F Sun, Q Liu, Y Xu, X Xin, Z Wang, X Song, X Zhao, J Xu, J Liu, L Zhao, … | 🏛️ Chemical Engineering Journal | 📅 2021 | 🔍 Cited by: 83

Conclusion

Prof. Dr. Xuefeng Song stands out as a highly accomplished researcher with a strong publication record, leadership in major projects, and a significant impact in materials science. His contributions to nanostructures, energy storage, and protective coatings, along with his extensive patent portfolio and global recognitions, make him a strong candidate for the Best Researcher Award. 🚀

MarthaAndreia Brand | Energy | Women Researcher Award

Published on 22/03/202522/03/2025 by Academic Awards

Dr. MarthaAndreia Brand | Energy | Women Researcher Award

Professor at UDESC, Brazil.

Martha Andreia Brand is a Brazilian forest engineer and researcher specializing in forest resources, biomass energy, and wood quality. She earned her bachelor’s (1997), master’s (2000), and doctorate (2007) from the Universidade Federal do Paraná (UFPR). With extensive academic and professional experience, she is currently a professor at the Universidade do Estado de Santa Catarina (UDESC) and a researcher at Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (EPAGRI). She has contributed significantly to forest engineering, wood processing, and industrial residues. Additionally, she serves as a reviewer for multiple scientific journals and is an active member of editorial boards.

Publication Profile

Orcid

Academic Background

Martha Andreia Brand holds a doctorate (2007), a master’s degree (2000), and a bachelor’s degree (1997) in Forest Resources and Forest Engineering from UFPR. Her doctoral research focused on the quality of forest biomass for energy generation, while her master’s work examined the productivity and energy efficiency of forest-based industries. She also completed a technical degree in Agricultural Sciences at Colégio Agrícola Vidal Ramos. Additionally, she pursued complementary education in research methodology and higher education teaching at Universidade do Planalto Catarinense (UNIPLAC), enhancing her expertise in forestry, biomass energy, and wood technology.

Professional Experience

Martha Andreia Brand is a professor at UDESC, actively engaged in forest engineering research. She has held various academic and administrative positions, including vice-coordinator and coordinator roles in postgraduate programs. She has worked as a researcher at UFSC, EPAGRI, and UNIPLAC and provided consultancy services in forestry industries. Her experience spans academia, research, and industry, focusing on biomass energy, wood processing, and environmental sustainability. She has also collaborated with research networks and served as an editorial board member and reviewer for numerous scientific journals. Her work bridges theoretical and practical aspects of forest engineering and industrial applications.

Awards and Honors

Martha Andreia Brand has received multiple academic and professional recognitions throughout her career. She has been a distinguished researcher in forest biomass and wood technology, contributing to high-impact journals. She is a member of the Associação Brasileira de Normas Técnicas (ABNT) for biomass standardization. She has been recognized for her contributions as a scientific journal reviewer and editor. Her research projects have received funding from national and international institutions. As a professor and mentor, she has guided numerous students in forestry and environmental sciences. Her work has significantly advanced sustainable forest management and biomass utilization.

Research Focus

Martha Andreia Brand’s research focuses on biomass energy, wood quality, and sustainable forestry. She explores the efficiency of biomass for energy production, industrial residues management, and the mechanical processing of wood. Her studies contribute to optimizing wood utilization in energy generation, improving forestry industry sustainability, and enhancing wood drying and preservation techniques. She is also involved in the standardization of biomass materials, ensuring quality control and environmental sustainability. Through interdisciplinary collaboration, her research aims to promote renewable energy solutions, reduce industrial waste, and improve the ecological and economic efficiency of forest-based industries.

Publication Top Notes

Apple pruning residues: Potential for burning in boiler systems and pellet production
- Year: 2020
High density polyethylene matrix composite as reinforcing agent in medium density fiberboards
- Year: 2020

Conclusion

Martha Andreia Brand is an accomplished researcher and professor at Santa Catarina State University (UDESC) with a strong academic background, holding a Ph.D., Master’s, and Bachelor’s in Forest Resources and Forest Engineering from Universidade Federal do Paraná. Her research focuses on biomass energy, wood quality, and sustainable forestry, contributing significantly to environmental sustainability. With 57 articles, 498 citations in Scopus, and an H-index of 11 in Web of Science (353 citations), her work has a substantial impact. She has led numerous research projects, served on editorial boards of prestigious journals, and advised key scientific organizations, including the National Council for Scientific and Technological Development and ABNT/CEE-242. Her extensive contributions to forestry and renewable energy make her a highly deserving candidate for Women Researcher Award.

JingQu | Coalbed methane | Best Researcher Award

Published on 17/02/202517/02/2025 by Academic Awards

Dr. JingQu | Coalbed methane | Best Researcher Award

School of Resources and Geosciences, China University of Mining and Technology, China

Dr. Jing Qu is a dedicated researcher in the field of geological resources, focusing on coalbed methane, coal reservoir characterization, and multi-field coupled seepage behavior. His research interests include gas content correction in deep coalbeds, CT-based digital core processing, and small-scale percolation equipment for laboratories. Dr. Qu has published influential studies in journals such as Energy, Fuel, and AAPG Bulletin, contributing to advancements in methane release and water saturation variation. 🌍📊🔬

Publication Profile

Orcid

Education and Academic Background 🎓

Dr. Jing Qu is currently pursuing a Ph.D. in Geological Resources and Engineering at China University of Mining and Technology (CUMT) in Xuzhou, China, through a combined Master-Doctor program (2022-Present). Prior to this, he earned his M.S. in Mineral Prospecting and Exploration from CUMT (2020-2022). He also holds a Bachelor’s degree in Mineral Prospecting and Exploration from the same institution (2016-2020). Dr. Qu’s academic journey at CUMT has shaped his expertise in geological resources and coalbed methane, laying a solid foundation for his cutting-edge research. 📚🌍

Oumar Ibrahima KANE | Hydrocarbon Exploration | Best Researcher Award

Published on 24/12/202424/12/2024 by Academic Awards

Dr. Oumar Ibrahima KANE | Hydrocarbon Exploration | Best Researcher Award

Dr. Oumar Ibrahima KANE, Chengdu University of Technology/Institute of Sedimentary Geology, Senegal

Dr. Oumar Ibrahima KANE 🌍 Postdoctoral Researcher at Chengdu University of Technology, Institute of Sedimentary Geology 🏫. Dr. Kane completed his Ph.D. in Mineral Resource Prospecting and Exploration in 2023 and now focuses on oil and gas exploration in the Sichuan Basin, China. His research includes geological data collection, laboratory analysis, geological modeling, and reservoir characterization. Specializing in petroleum exploration, sequence stratigraphy, and carbonate sedimentology, he has published 13 SCI papers with 137 citations 📚. He is a member of the International Society of Palaeogeography and the International Association of Sedimentologists 🌐

Publication Profile

Scopus

Academic and Professional Background 🌍

In 2023, Dr. Oumar Ibrahima KANE earned his Ph.D. in Mineral Resource Prospecting and Exploration. He is currently a Postdoctoral Researcher at the Institute of Sedimentary Geology, Chengdu University of Technology, where he specializes in oil and gas exploration in the Sichuan Basin, China. His research involves geological data collection, laboratory analysis, building interpretative software models, and creating geological maps. He focuses on reservoir characterization, evolution, and predicting favorable development areas. Dr. Kane’s expertise includes Petroleum Exploration, Sequence Stratigraphy, Carbonate Sedimentology, Petroleum Geochemistry, and Geological Modeling. 🛢️🌐📊

Research and Innovations 🔬

Dr. Oumar Ibrahima KANE is currently involved in two major research projects in the Sichuan Basin, China. His work focuses on the structural evolution of deep and ultra-deep strata and its impact on natural gas accumulation and enrichment. Additionally, he is exploring the genesis of dolomite and its implications for paleogeography reconstruction. Dr. Kane is also studying the diagenetic evolution of the Middle Cambrian Gaotai Formation, aiming to understand its geological processes and implications for hydrocarbon exploration. His contributions to these projects provide valuable insights into petroleum geology and resource prediction. 🌍⛽🪨

Research Focus

Dr. Oumar Ibrahima KANE’s research primarily centers on hydrocarbon exploration, with a strong focus on sedimentary geology and reservoir characterization. His work includes analyzing the sedimentary facies and paleogeography of the Sichuan Basin in China, exploring the tectonic and climatic influences on organic matter accumulation, and studying the diagenetic evolution of key geological formations. Dr. Kane’s expertise spans petroleum geochemistry, sequence stratigraphy, and the use of advanced modeling techniques to predict favorable reservoir development areas. His contributions to understanding reservoir quality and hydrocarbon potential are crucial for the energy industry. ⚒️📊

Publication Top Notes

“Lower Cretaceous volcanic-sedimentary successions of the continental rift basin in the Songliao Basin, northeast China: Implication in high-quality reservoir prediction and hydrocarbon potential” – Cai, Q., Hu, C., Deng, Q., Lin, L., Hu, Z. (2023) – Cited by: 2 📚🛢️
“Sedimentary facies, lithofacies paleogeography, and an evaluation of the Ordovician sequences in the Sichuan Basin, southwest China” – Kane, O.I., Hu, M., Cai, Q., Yang, W., Zuo, M. (2023) – Cited by: 10 📘🗺️
“Petrological and geochemical characteristics of the Ordovician–Silurian black shale in eastern Sichuan and western Hubei, South China: Differential sedimentary responses to tectonism and glaciation” – Cai, Q.-S., Hu, M.-Y., Kane, O.I., Hu, Z.-G., Deng, Q.-J. (2023) – Cited by: 7 🖋️🌍
“Fractal Dimension Analysis of Pores in Coal Reservoir and Their Impact on Petrophysical Properties: A Case Study in the Province of Guizhou, SW China” – Fu, W., Hu, W., Yi, T., Zhang, M., Huang, X. (2022) – Cited by: 4 🏞️📊
“Factors controlling reservoir quality of a retreating delta-front in shallow-water lacustrine in the Songliao Basin, Northeast China” – Deng, Q., Hu, M., Su, S., Cai, Q., Hu, Z. (2022) – Cited by: 6 🏝️🔬
“Sedimentary characteristics and implications for hydrocarbon exploration in a retrograding shallow-water delta: An example from the fourth member of the Cretaceous Quantou Formation in the Sanzhao depression, Songliao Basin, NE China” – Cai, Q.-S., Hu, M.-Y., Liu, Y.-N., Li, H., Ngia, N.-R. (2022) – Cited by: 5 🌍🛢️
“Source of silica and its implications for organic matter enrichment in the Upper Ordovician-Lower Silurian black shale in western Hubei Province, China: Insights from geochemical and petrological analysis” – Cai, Q.-S., Hu, M.-Y., Zhang, B.-M., Deng, Q.-J., Shen, J.-J. (2022) – Cited by: 16 🧪🖋️
“Cyclic variations in paleoenvironment and organic matter accumulation of the Upper Ordovician–Lower Silurian black shale in the Middle Yangtze Region, South China: Implications for tectonic setting, paleoclimate, and sea-level change” – Cai, Q., Hu, M., Kane, O.I., Deng, Q., Xing, N. (2022) – Cited by: 29 📖🌿
“Syn-rift sedimentary evolution and hydrocarbon reservoir models in a graben rift sag, Songliao Basin, Northeast China” – Deng, Q., Hu, M., Kane, O.I., Hu, Z., Yang, W. (2021) – Cited by: 7 🔍🛢️
“Investigation of coal elastic properties based on digital core technology and finite element method” – Andhumoudine, A.B., Nie, X., Zhou, Q., Jin, L., Djaroun, R.R. (2021) – Cited by: 48 💡⚙️

Neyara Radwan | Engineering | Excellence in Academia Award

Published on 13/11/202413/11/2024 by Academic Awards

Assoc. Prof. Dr. Neyara Radwan | Engineering | Excellence in Academia Award

Associate Professor at Industrial Management Department. Liwa College, Abu Dhabi, UAE, United Arab Emirates.

Dr. Neyara Radwan is a distinguished academic with expertise in areas such as optimization, sustainability, supply chain management, and energy systems. She has received numerous awards for excellence in research and education, including global recognition for her contributions to sustainability and women leadership. As an associate professor and quality assurance officer, she has contributed significantly to the academic community.

Publication Profile

Education 🎓

Dr. Radwan completed her Bachelor’s degree in Production Engineering and Mechanical Design from Mansoura University, Egypt. She further advanced her academic journey with a Master’s degree in the same field from Mansoura University. She earned her Ph.D. in Production Engineering from Benha University, Egypt, where her thesis focused on electro-chemical honing machining. Her academic excellence is reinforced by a diploma from the Technical University of Sofia, Bulgaria, where she was awarded a scholarship for exceptional performance.

Experience 💼

Dr. Radwan’s academic career spans several prestigious institutions, where she has excelled in various roles. She is currently an Associate Professor in the Industrial Engineering Department at Al Mareefa University in KSA. She has also worked as an Associate Professor at King Abdulaziz University, where she contributed to Ph.D. program quality assurance. Dr. Radwan has held positions at Suez Canal University and several other engineering institutions in Egypt, providing leadership in education and academic development. Her focus is on enhancing quality assurance processes and contributing to program accreditation efforts.

Awards and Honors 🏆

Dr. Radwan has received numerous accolades for her research and academic excellence. Notable honors include the Award of Excellence in Education Development from NCRDSIMS in India, the Golden Academic Award from Tradepreneur Global Academic/Platform UK, and multiple recognition certificates from King Abdulaziz University. She was named one of the most inspiring women globally by the International Internship University in 2022 and received the Golden Award for her work on the circular economy in Saudi Arabia. Additionally, she has been recognized for her contribution to the Sustainable Development Goals by the United Nations Associations of Somalia.

Research Focus 🔬

Dr. Radwan’s research is centered on optimization, sustainable engineering systems, and renewable energy. She explores the intersection of lean manufacturing, supply chain management, and sustainability, particularly in energy systems and solid waste management. Her work integrates artificial intelligence applications to optimize systems’ performance, focusing on improving operation efficiency, reducing waste, and enhancing sustainability. She also investigates optimal scheduling and the impact of circular economy practices on waste management, especially in the context of Saudi Arabia’s Vision 2030.

Conclusion

Dr. Radwan’s impressive body of work, awards, and commitment to sustainable engineering make her a strong candidate for the Excellence in Academia Award. With further engagement in collaborative and impactful research, she can continue to inspire future generations in her field.

Publication Top Notes

Chromium contamination and effect on environmental health and its remediation: A sustainable approaches

Authors: S. Prasad, K.K. Yadav, S. Kumar, N. Gupta, M.M.S. Cabral-Pinto, S. Rezania, et al.

Citations: 465

Year: 2021

Blockchain convergence: Analysis of issues affecting IoT, AI and blockchain

Authors: S. Guergov, N. Radwan

Citations: 146

Year: 2021

The growth of internet of things (IoT) in the management of healthcare issues and healthcare policy development

Authors: N. Radwan, M. Farouk

Citations: 133

Year: 2021

The internet’s role in undermining the credibility of the healthcare industry

Authors: N. Radwan

Citations: 121

Year: 2022

Strength and flexural behavior of steel fiber and silica fume incorporated self-compacting concrete

Authors: A.M. Saba, A.H. Khan, M.N. Akhtar, N.A. Khan, S.S.R. Koloor, M. Petrů, et al.

Citations: 95

Year: 2021

Synthesis and in vitro antibacterial properties of hydroxyapatite nanoparticles

Authors: H.S. Ragab, F.A. Ibrahim, F. Abdallah, A.A. Al-Ghamdi, F. El-Tantawy, et al.

Citations: 87

Year: 2014

Optimization of solid waste collection using RSM approach, and strategies delivering sustainable development goals (SDG’s) in Jeddah, Saudi Arabia

Authors: N. Radwan, N.A. Khan, R.A.G. Elmanfaloty

Citations: 49

Year: 2021

Upgrading combined anaerobic-aerobic UASB-FPU to UASB-DHS system: cost comparison and performance perspective for developing countries

Authors: M.A. Mazhar, N.A. Khan, A.H. Khan, S. Ahmed, A.A. Siddiqui, A. Husain, V. Tirth, et al.

Citations: 47

Year: 2021

Strategic planning for managing municipal solid wastes with consideration of multiple stakeholders

Authors: A.D. Diaz-Barriga-Fernandez, J.E. Santibañez-Aguilar, N. Radwan, et al.

Citations: 44

Year: 2017

Energy generation and revenue potential from municipal solid waste using system dynamic approach

Authors: P. Alam, M. Sharholy, A.H. Khan, K. Ahmad, T. Alomayri, N. Radwan, A. Aziz

Citations: 35

Year: 2022

Publication Profile

🎓 Academic Qualifications

👨‍🏫 Professional Positions

🔬 Research Interests

📘 Teaching

🏅 Grants and Awards

🔍 Research Focus

Publication Top Notes

Publication Profile

Expertise

Work and Education Background

Awards and Recognitions

Research Focus

Publication Top Notes

Publication Profile

🎓 Education

💼 Experience

🏅 Awards and Honors

🔬 Research Focus

Publication Top Notes

Artificial intelligence applications in hydrogen system: Advancing renewable energy utilization for global hydrogen economy and sustainability goals

Publication Profile

Academic Background

Professional Background

Awards and Honors

Research Focus

Publication Top Notes

Conclusion

Publication Profile

🎓 Education

💼 Experience

🏅 Awards and Honors

🔬 Research Focus

Publication Top Notes

Publication Profile

Education 🎓📚

Experience 🏆🔬

Awards & Honors 🏅🎖️

Research Focus 🔬⚡

Publication Top Notes

Conclusion

Publication Profile

Academic Background

Professional Experience

Awards and Honors

Research Focus

Publication Top Notes

Conclusion

Publication Profile

Education and Academic Background 🎓

Research Interests 🔬

Publications Top Notes 📚

Publication Profile

Academic and Professional Background 🌍

Research and Innovations 🔬

Research Focus

Publication Top Notes

Publication Profile

Education 🎓

Experience 💼

Awards and Honors 🏆

Research Focus 🔬

Conclusion

Publication Top Notes