Mingchen Luan | Engineering | Best Researcher Award

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Mr. Mingchen Luan | Engineering | Best Researcher Award

Student at Shandong Jiaotong University,China

Mingchen Luan is a postgraduate researcher at Shandong Jiaotong University in China, specializing in Rail Transit. His work primarily focuses on advanced motor control systems, particularly for Permanent Magnet Synchronous Motors (PMSM). Luan has published influential research in respected journals such as Actuators and World Electric Vehicle Journal, where his studies on sensorless control and rotor position detection methods for PMSMs have garnered attention. His innovative contributions include developing adaptive finite-time super-twisting sliding mode observers and variable gain discrete sliding mode observers to improve motor control precision. These advancements are critical for enhancing efficiency in electric vehicles and rail transit systems. Luan’s research is highly technical and has significant potential to impact industries relying on advanced motor control, like electric vehicles and rail systems. While his focus is on motor control, expanding his research into broader areas of transportation technology could further elevate his academic and professional standing.

Professional Profile 

Education

Mingchen Luan is currently pursuing his postgraduate studies at Shandong Jiaotong University in Jinan, China, specializing in Rail Transit within the College of Rail Transit. He began his academic journey at the university in September 2022 and is expected to complete his studies by September 2025. Luan’s educational focus is on the intersection of electrical engineering and transportation systems, with particular emphasis on motor control technologies used in rail and electric vehicle applications. This specialized area of study has enabled him to explore cutting-edge techniques in sensorless motor control and advanced observer design for Permanent Magnet Synchronous Motors (PMSM). His academic background and research are pivotal in advancing efficient and precise motor control systems, making significant contributions to both the rail transit sector and broader electrical engineering fields. Luan’s continued research promises to further enhance the development of intelligent and sustainable transportation technologies.

Professional Experience

Mr. Mingchen Luan is currently a postgraduate researcher at Shandong Jiaotong University in China, where he focuses on rail transit and motor control systems within the College of Rail Transit. Although specific details of his professional work experience outside academia are not widely available, his academic research and contributions position him as a rising expert in the field of electrical engineering. Luan’s work on advanced motor control techniques, particularly for Permanent Magnet Synchronous Motors (PMSM), has gained recognition through publications in prominent journals. His research involves the development of innovative sensorless control methods and rotor position detection techniques, which are critical for improving efficiency and performance in electric vehicles and rail transit systems. Through his research, Luan demonstrates a strong focus on practical applications of motor control systems, contributing to the advancement of sustainable transportation technologies. His professional experience is centered around the intersection of engineering research and real-world transportation solutions.

Research Interest

Mr. Mingchen Luan’s research interests lie primarily in the field of electrical engineering, with a specific focus on motor control systems, particularly for Permanent Magnet Synchronous Motors (PMSM). His work aims to enhance the performance and efficiency of electric vehicles and rail transit systems through advanced control techniques. Luan is particularly interested in sensorless motor control, developing innovative methods for rotor position detection and improving motor control precision. His research explores the application of adaptive finite-time super-twisting sliding mode observers and variable gain discrete sliding mode observers, which are essential for ensuring high efficiency in motor systems without relying on sensors. Luan’s work contributes to the development of more reliable, cost-effective, and energy-efficient technologies for transportation, helping drive advancements in electric and rail systems. His research is at the cutting edge of motor control technology, with significant potential to influence the future of sustainable transportation solutions.

Award and Honor

As of now, there is no specific mention of awards or honors for Mr. Mingchen Luan in publicly available records. However, his academic contributions and research in the field of motor control for Permanent Magnet Synchronous Motors (PMSM) have been recognized within academic circles, as demonstrated by his publication in reputable journals such as Actuators and World Electric Vehicle Journal. Luan’s innovative work on sensorless motor control and rotor position detection methods highlights his technical expertise and potential for future recognition. Given his promising research in advancing transportation technology, particularly in rail transit and electric vehicles, it is likely that his contributions will be acknowledged with awards or honors as his career progresses. His research is already paving the way for further academic and industry recognition, which could lead to future accolades in the fields of electrical engineering and transportation technology.

Conclusion

Mingchen Luan has demonstrated solid academic achievements and technical expertise in his field of motor control systems. His innovative research on PMSM control mechanisms is highly valuable to modern transportation, particularly in the rail and electric vehicle sectors. While his work is already impactful, expanding his research scope, fostering interdisciplinary collaborations, and increasing public outreach would significantly enhance his standing for the Best Researcher Award. His strong academic background and focus on practical applications position him as a promising candidate for further recognition in the research community.

Publications Top Noted

  • Publication Title: An Improved Adaptive Finite-Time Super-Twisting Sliding Mode Observer for the Sensorless Control of Permanent Magnet Synchronous Motors
    • Authors: Mingchen Luan, Jiuhong Ruan, Yun Zhang, Haitao Yan, Long Wang
    • Journal: Actuators
    • Year: 2024
    • DOI: 10.3390/act13100395
    • ISSN: 2076-0825
    • Citation: As of now, the citation count is not available. You can track citations via Google Scholar or the journal’s database.
  • Publication Title: A Rotor Position Detection Method for Permanent Magnet Synchronous Motors Based on Variable Gain Discrete Sliding Mode Observer
    • Authors: Mingchen Luan, Yun Zhang, Xiaowei Li, Fenghui Xu
    • Journal: World Electric Vehicle Journal
    • Year: 2024
    • DOI: 10.3390/wevj15030087
    • ISSN: 2032-6653
    • Citation: As with the first publication, citation details can be tracked through platforms like Google Scholar.

Yuejin Yuan | Engineering | Best Researcher Award

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Prof. Yuejin Yuan | Engineering | Best Researcher Award

Professor at Shaanxi University of Science and Technology, China

Prof. Yuejin Yuan, a distinguished scholar and innovator, is a Ph.D. holder, professor, and doctoral supervisor renowned for his contributions to green energy-saving dry processing of agricultural products and food. Serving as the Vice Dean of the School of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, he also holds prominent positions in national societies, including the Chinese Agricultural Machinery Society and the Chinese Mechanical Engineering Society. Prof. Yuan has led numerous prestigious projects, such as the National Agricultural Science and Technology Innovation Capacity Project and National Natural Science Foundation initiatives. With over 120 academic publications, 58 indexed in SCI/EI, 20 nationally authorized invention patents, and 36 utility model patents, his research has achieved widespread recognition. His accolades include multiple provincial science and technology awards. Prof. Yuan’s leadership, academic excellence, and innovative contributions underscore his pivotal role in advancing sustainable technologies in agricultural and food processing.

Professional Profile 

Education

Prof. Yuejin Yuan has a strong educational foundation that has shaped his exemplary career in research and innovation. He earned his Ph.D., which laid the groundwork for his specialization in green energy-saving technologies for agricultural and food processing. As a lifelong learner and academic leader, he has consistently pursued advanced knowledge and skills, enabling him to contribute significantly to his field. His academic journey is complemented by his role as a professor and doctoral supervisor, where he mentors the next generation of researchers. Prof. Yuan’s education not only equipped him with the technical expertise necessary for pioneering research but also instilled a vision for innovation and sustainability. His academic achievements are further reflected in his leadership roles and extensive scholarly output, making his educational background a cornerstone of his impactful contributions to science and technology.

Professional Experience

Prof. Yuejin Yuan boasts an illustrious professional career characterized by leadership, innovation, and impactful research in agricultural and food processing technologies. He serves as the Vice Dean of the School of Mechanical and Electrical Engineering at Shaanxi University of Science and Technology, where he oversees academic and research initiatives. Prof. Yuan is a prominent figure in professional societies, holding roles such as Deputy Director of the Agricultural and Sideline Products Processing Machinery Branch of the Chinese Agricultural Machinery Society and a standing member of the Packaging and Food Branch of the Chinese Mechanical Engineering Society. He has led groundbreaking projects, including National Key R&D Plans and Natural Science Foundation initiatives, and has collaborated extensively with enterprises on R&D. With over 120 academic publications, 58 indexed in SCI/EI, and numerous patents, Prof. Yuan’s professional experience reflects his commitment to advancing sustainable technologies and fostering innovation in his field.

Research Interest

Prof. Yuejin Yuan’s research interests lie at the intersection of sustainability, innovation, and technology, with a focus on the theory, technology, and equipment for green energy-saving dry processing of agricultural products and food. His work addresses critical challenges in reducing energy consumption and enhancing efficiency in agricultural and food processing industries, aligning with global priorities for sustainable development. Prof. Yuan is deeply invested in developing innovative solutions that optimize processing techniques while minimizing environmental impact. His research encompasses the design and advancement of cutting-edge machinery and systems that improve the quality and preservation of agricultural products. By combining theoretical exploration with practical applications, he bridges the gap between academic research and industrial needs. Prof. Yuan’s dedication to this field has led to numerous publications, patents, and successful projects, reflecting his commitment to driving progress in sustainable agricultural processing technologies.

Award and Honor

Prof. Yuejin Yuan has received numerous awards and honors, recognizing his outstanding contributions to research and innovation in agricultural and food processing technologies. Among his accolades are six prestigious scientific and technological awards, including first and second prizes in the Shaanxi Provincial Science and Technology Awards. These honors highlight the significant impact of his work on advancing green energy-saving technologies and sustainable practices in his field. Prof. Yuan’s leadership and innovative achievements have earned him recognition as a leading young and middle-aged scientific and technological innovation talent in Shaanxi Province. Additionally, his role as a key contributor to national and provincial research initiatives further underscores his excellence. Through his achievements, Prof. Yuan has solidified his reputation as a pioneering researcher and an influential figure in the advancement of sustainable technology, making him a prominent leader and innovator in his domain.

Conclusion

Yuan Yuejin is a highly suitable candidate for the Best Researcher Award, with a distinguished career in agricultural and food processing research, robust academic contributions, and impactful leadership roles. His innovations in green energy-saving technologies align well with current global priorities for sustainability and efficiency. With an emphasis on increasing global visibility and interdisciplinary outreach, Yuan’s candidacy would be exceptionally compelling for this award.

Publications Top Noted

  • Title: Enhancing CO2 puffing drying of potatoes through ethanol and freeze-thaw post-treatment
    Authors: Niu, Y., Yuan, Y., Xu, Y., Xiong, F., Dai, Y.
    Year: 2025
    Citations: 0
  • Title: Lignin nanoparticles-based carbon aerogels with 3D interconnected framework supported nickel-cobalt layered double hydroxide nanosheets for high-performance hybrid supercapacitors
    Authors: Lou, R., Dong, L., Cao, Q., He, L., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Microscopic and Macroscopic Analysis of Purple Sweet Potato Dried Products Following Vacuum Steam Pulsation Blanching Pretreatment
    Authors: Wang, D., Zhao, Y., Niu, Y., Sun, H., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Effect of Blanching Pretreatment before Drying on the Microstructure and Texture Quality of Dried Apple Slices
    Authors: Wang, D., Zhao, Y., Deng, Z., Wang, Y., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Experiment and Quality Evaluation of Hot-Air Vacuum Combined Drying for Red Jujube Slices Based on Analytic Hierarchy Process
    Authors: Niu, J., Yuan, Y., Li, Y., Xu, Y., Zuo, X.
    Year: 2024
    Citations: 0
  • Title: Renewable symmetric supercapacitors assembled with lignin nanoparticles-based thin film electrolyte and carbon aerogel electrodes
    Authors: Lou, R., Niu, T., Zhao, F., Wei, G., Lyu, G.
    Year: 2024
    Citations: 1
  • Title: Molecular Mechanism of Enhanced Water Evaporation on Hybrid Nanostructure
    Authors: Wang, Z., An, M., Sun, X., Shi, J., Yuan, Y.
    Year: 2024
    Citations: 0
  • Title: Transport dynamics of droplets encapsulated by an elastic interface in pore throats
    Authors: He, L., He, W., Wang, S., Tao, Y., Yuan, Y.
    Year: 2024
    Citations: 3
  • Title: Effect of microwave combined with ethanol pretreatment on the quality of potato CO2 explosion puffing drying
    Authors: Niu, Y., Yuan, Y., Xu, Y., Tan, L., Dai, Y.
    Year: 2024
    Citations: 1
  • Title: Optimization of Vacuum Steam Pulsating Blanching Process of Prepared Okra Vegetable by Response Surface Method
    Authors: Yuan, Y., Li, Y., Xu, Y., Li, S.
    Year: 2024
    Citations: 0

Syamsul Rizal | Engineering | Best Researcher Award

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Dr. Syamsul Rizal | Engineering | Best Researcher Award

Postdoctoral at ICT Convergence Research Center, South Korea

Dr. Syamsul Rizal is an Assistant Professor at Telkom University, Indonesia, and a postdoctoral researcher at Kumoh National Institute of Technology, South Korea, with expertise in machine learning, AI, and blockchain integration. With over five years of teaching experience, he instructs courses in programming and AI, fostering the next generation of tech innovators. His research spans real-time locating systems, biomedical applications of AI, and recently, blockchain with AI, showcasing his focus on emerging, interdisciplinary technology. Dr. Rizal has a strong publication record with contributions to prominent conferences and journals, demonstrating his commitment to advancing AI and machine learning. Honored with a Best Thesis Award and scholarships, he combines technical skill, academic rigor, and practical application in his work. Known for his collaborative spirit and leadership in international research settings, Dr. Rizal is recognized for his contributions to applied AI and his role in innovative technology development.

Professional profile

Education📚

Dr. Syamsul Rizal completed his Master’s and Ph.D. programs in the Department of IT Convergence at the Kumoh National Institute of Technology, South Korea, from 2013 to 2018. His advanced studies focused on integrating emerging technologies across fields such as networked systems, IoT, and AI. As a team leader in the Networked Systems Laboratory, he worked on projects related to ISA100.11a, data virtualization, and image and video processing, gaining hands-on experience in cutting-edge technology. During his doctoral studies, he was honored with a Best Thesis Award in 2015, highlighting his research excellence and innovative approach. His education, supported by a scholarship at Kumoh National Institute of Technology, provided a robust foundation in both theoretical and applied aspects of information technology. Dr. Rizal’s academic journey has equipped him with interdisciplinary expertise, enabling him to address complex challenges in machine learning, blockchain, and AI-driven solutions in his professional career.

Professional Experience🏛️

Dr. Syamsul Rizal has a diverse professional background that spans academic and applied research roles. Currently, he is an Assistant Professor at Telkom University, Indonesia, where he has been teaching since 2019, specializing in programming, artificial intelligence, and mobile application development. His teaching focuses on empowering students with foundational and advanced skills in Python, Java, and C. Alongside teaching, Dr. Rizal is actively involved in research, particularly in machine learning, with projects like AI-driven tea leaf classification. Since 2023, he has also served as a postdoctoral researcher at Kumoh National Institute of Technology in South Korea, where he is developing blockchain systems integrated with AI, reflecting his commitment to emerging technologies. Dr. Rizal’s previous experience includes a postdoctoral role at DGIST, South Korea, where he worked on real-time locating systems and deep learning algorithms for automotive applications. His experience highlights a strong interdisciplinary approach and dedication to innovation.

🔬 Research Interest

Dr. Syamsul Rizal’s research interests are rooted in interdisciplinary applications of advanced technology, particularly in machine learning, AI integration, and networked systems. His work spans diverse areas such as data reconstruction, real-time locating systems (RTLS), and biomedical engineering applications. Dr. Rizal’s research also emphasizes the application of machine learning algorithms for classification tasks, including innovative projects like tea leaf classification and brain stroke detection. He has explored machine learning in biomedical contexts, using techniques like convolutional neural networks (CNNs) for medical image analysis, including retinal pathology and colon cancer classification. Further extending his expertise, Dr. Rizal is engaged in developing blockchain technology with AI capabilities, underscoring his focus on pioneering solutions that leverage AI for security and scalability in decentralized networks. His research reflects a commitment to advancing the practical impact of machine learning and AI across fields as diverse as agriculture, healthcare, and blockchain technology.

🏆Awards and Honors

Dr. Syamsul Rizal has been recognized for his academic excellence and contributions to the field of technology through several awards and honors. Notably, he received the Best Thesis Award in 2015 from the Kumoh National Institute of Technology, South Korea, where he completed both his Master’s and Doctoral studies. This award highlights his exceptional research skills and his innovative contributions during his graduate studies, specifically in networked systems and real-time data communication. Additionally, he was granted a prestigious scholarship to join the Networked System Laboratory at Kumoh, supporting his research in cutting-edge areas such as IoT, virtualization, and image and video processing. These accolades underscore Dr. Rizal’s dedication to advancing technological innovation and his role as a leader in applied research, contributing valuable insights and advancements in fields ranging from machine learning and artificial intelligence to networked systems and data science.

Conclusion

Dr. Syamsul Rizal is a compelling candidate for the Best Researcher Award due to his robust background in machine learning, AI, and systems engineering, combined with a strong publication record and international experience. By further expanding his publication reach and collaborative initiatives, Dr. Rizal could enhance his profile and make an even stronger case for this award, which recognizes impactful and innovative research.

Publications top noted📜

  • ND Miranda, L Novamizanti, S Rizal
    Title: “Convolutional Neural Network pada klasifikasi sidik jari menggunakan RESNET-50”
    Journal: Jurnal Teknik Informatika
    Year: 2020
    Citations: 88
  • YN Fu’adah, I Wijayanto, NKC Pratiwi, FF Taliningsih, S Rizal, …
    Title: “Automated classification of Alzheimer’s disease based on MRI image processing using convolutional neural network (CNN) with AlexNet architecture”
    Journal: Journal of Physics: Conference Series
    Year: 2021
    Citations: 57
  • S Rizal, N Ibrahim, NORKC PRATIWI, S Saidah, RYNUR FUÂ
    Title: “Deep Learning untuk Klasifikasi Diabetic Retinopathy menggunakan Model EfficientNet”
    Journal: ELKOMIKA
    Year: 2020
    Citations: 18
  • S Rizal, T Kartika, GA Septia
    Title: “Studi Etnobotani Tumbuhan Obat di Desa Pagar Ruyung Kecamatan Kota Agung Kabupaten Lahat Sumatera Selatan”
    Journal: Sainmatika
    Year: 2021
    Citations: 17
  • NORKC PRATIWI, NUR IBRAHIM, YNUR FUÂ, S RIZAL
    Title: “Deteksi Parasit Plasmodium pada Citra Mikroskopis Hapusan Darah dengan Metode Deep Learning”
    Journal: ELKOMIKA
    Year: 2021
    Citations: 15
  • AA Pramudita, Y Wahyu, S Rizal, MD Prasetio, AN Jati, R Wulansari, …
    Title: “Soil water content estimation with the presence of vegetation using ultra wideband radar-drone”
    Journal: IEEE Access
    Year: 2022
    Citations: 13
  • AA Santosa, RYN Fu’adah, S Rizal
    Title: “Deteksi Penyakit pada Tanaman Padi Menggunakan Pengolahan Citra Digital dengan Metode Convolutional Neural Network”
    Journal: Journal of Electrical and System Control Engineering
    Year: 2023
    Citations: 10
  • ME Abdulfattah, L Novamizanti, S Rizal
    Title: “Super Resolution pada Citra Udara menggunakan Convolutional Neural Network”
    Journal: ELKOMIKA
    Year: 2021
    Citations: 10
  • I Wijayanto, S Rizal, S Hadiyoso
    Title: “Epileptic electroencephalogram signal classification using wavelet energy and random forest”
    Journal: AIP Conference Proceedings
    Year: 2023
    Citations: 9
  • S Saidah, YN Fuadah, F Alia, N Ibrahim, R Magdalena, S Rizal
    Title: “Facial skin type classification based on microscopic images using convolutional neural network (CNN)”
    Conference: 1st International Conference on Electronics, Biomedical …
    Year: 2021
    Citations: 9
  • YN Fu’adah, S Sa’idah, I Wijayanto, N Ibrahim, S Rizal, R Magdalena
    Title: “Computer Aided Diagnosis for Early Detection of Glaucoma Using Convolutional Neural Network (CNN)”
    Conference: 1st International Conference on Electronics, Biomedical …
    Year: 2021
    Citations: 9
  • HM Lathifah, L Novamizanti, S Rizal
    Title: “Fast and accurate fish classification from underwater video using you only look once”
    Journal: IOP Conference Series: Materials Science and Engineering
    Year: 2020
    Citations: 8

Yasser Elsharkawy | Engineering | Best Innovation Award

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Prof Dr. Yasser Elsharkawy | Engineering | Best Innovation Award

Prof at optoelectronics department at Military technical college, Egypt

Prof. Yasser El-Sharkawy is a leading figure in optoelectronics and biomedical engineering, with a specialization in biophotonics. Based at the Military Technical College, his pioneering work in hyperspectral imaging has made significant contributions to the fields of medical diagnostics and security technologies. 🌟 His research combines cutting-edge science with real-world applications, especially in healthcare and safety.

Professional profile

Education📚

Prof. El-Sharkawy has an extensive background in optoelectronics and biophotonics, underpinned by rigorous academic training in engineering. His educational path, focused on the application of light-based technologies in biomedicine, has equipped him with advanced expertise in hyperspectral imaging for diagnostic purposes and beyond. 🎓📚

Professional Experience🏛️

As a professor at the Military Technical College, Prof. El-Sharkawy has played a key role in advancing biophotonics research. He has led significant projects in optoelectronics, and has collaborated on interdisciplinary research in both medical diagnostics and remote sensing. His leadership and teaching have helped train the next generation of engineers and researchers in these emerging technologies. 👨‍🏫💡

Research Interest🏆

His research focuses on hyperspectral imaging, with applications ranging from cancer diagnosis to vascular imaging and the detection of explosive materials. Prof. El-Sharkawy’s work demonstrates the potential of biophotonics in improving healthcare outcomes and enhancing security technologies. His interests lie in the intersection of technology and medicine, pushing the boundaries of what is possible in medical imaging and public safety. 🔬📈

Award and Honor

Prof. El-Sharkawy’s contributions to biophotonics and hyperspectral imaging have earned him significant recognition in academic and professional circles. His research on breast cancer diagnosis and tissue characterization is widely cited, reflecting the impact of his work. Additionally, his leadership at the Military Technical College has further established his role as a key figure in optoelectronics and biomedical engineering. 🏆🌐

Achievements🛠️

  • Pioneering Research in Hyperspectral Imaging: Developed advanced hyperspectral imaging techniques for medical diagnostics, including breast cancer detection and vascular imaging. 🌟🔬
  • Highly Cited Publication: His work on hyperspectral imaging for breast cancer diagnosis (2020) has received 71 citations, demonstrating the significant impact of his research in the medical field. 📈
  • Interdisciplinary Research: Applied hyperspectral imaging for remote sensing in security, particularly in detecting explosive materials, contributing to both healthcare and safety technologies. 🚀
  • Leadership in Optoelectronics and Biophotonics: Served as a professor at the Military Technical College, leading key projects in optoelectronics and training future engineers in cutting-edge technologies. 👨‍🏫💡
  • Collaboration Across Disciplines: Worked on projects combining biophotonics and public safety, advancing knowledge in fields such as tissue characterization and remote recognition of materials. 🌍
  • Published in High-Impact Journals: Authored influential papers in Photodiagnosis and Photodynamic Therapy, Remote Sensing Applications, and other respected journals, receiving widespread academic recognition. 📚🏅
  • Innovative Medical Applications: His research has practical implications, particularly in improving phlebotomy procedures and liver thermal ablation, pushing the boundaries of non-invasive medical imaging. 🏥
  • Security Technology Advancements: Contributed to enhancing public safety through remote detection of explosives using hyperspectral imaging, demonstrating the versatility of his expertise. 🛡️
  • Continued Growth: His recent research on corruption-poverty nexus and government effectiveness expands his work into socio-political issues, reflecting an evolving research focus. 📖
Publications top noted📜
  1. The potentials of nonlinear polarization with hyperspectral imaging of RNA for hepatocellular carcinoma early diagnosis
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M., Rizk, S.H., El-Sayyad, G.S.
    • Egyptian Journal of Medical Human Genetics, 25(1), 70
    • 0 citations 🌟
  2. Multi-wavelength interference phase imaging for automatic breast cancer detection and delineation using diffuse reflection imaging
    • Mahmoud, A., El-Sharkawy, Y.H.
    • Scientific Reports, 14(1), 415
    • 2 citations 🔬
  3. Advancements in non-invasive hyperspectral imaging: Mapping blood oxygen levels and vascular health for clinical and research applications
    • El-Sharkawy, Y.H.
    • Vascular Pharmacology, 155, 107380
    • 1 citation 🩺
  4. Detection and classification of floating and submerged polluted targets at turbid water using remote sensing hyperspectral imaging
    • Mahmoud, A., Elrewainy, A., El-Sharkawy, Y.H.
    • Journal of the Indian Society of Remote Sensing, 52(6), 1183–1200
    • 0 citations 🌊
  5. Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging
    • Mahmoud, A., El-Sharkawy, Y.H.
    • Optical and Quantum Electronics, 56(5), 780
    • 1 citation 🌍
  6. Novel laser-induced linear polarization for facile diagnosis of hepatocellular carcinoma
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M., Soula, M.A., El-Sayyad, G.S.
    • Optical and Quantum Electronics, 56(5), 709
    • 0 citations 🧬
  7. A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection
    • Youssef, A., Moa, B., El-Sharkawy, Y.H.
    • Photodiagnosis and Photodynamic Therapy, 46, 104048
    • 0 citations 🩻
  8. Enhancing automatic inspection and characterization of carbon fiber composites through hyperspectral diffuse reflection analysis and k-means clustering
    • Mahmoud, A., Kassem, M., Elrewainy, A., El-Sharkawy, Y.H.
    • International Journal of Advanced Manufacturing Technology, 131(9-10), 4935–4951
    • 0 citations 🏭
  9. Automated hyperspectral imaging for non-invasive characterization of human eye vasculature: A potential tool for ocular vascular evaluation
    • El-Sharkawy, Y.H.
    • Experimental Eye Research, 240, 109792
    • 1 citation 👁️
  10. Non-invasive diffused reflected/transmitted signature accompanied with hyperspectral imaging for breast cancer early diagnosis
    • El-Sharkawy, Y.H., Elbasuney, S., Radwan, S.M.
    • Optics and Laser Technology, 169, 110151
    • 2 citations

Fangjun Wang | Engineering | Best Researcher Award

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Dr. Fangjun Wang | Engineering | Best Researcher Award

Ph.D. candidate at Southeast University, China

Wang Fangjun is a dedicated researcher currently pursuing a PhD in Power Engineering and Engineering Thermophysics at Southeast University. His academic journey includes a Master’s in Thermal Engineering from Shanghai University of Electric Power and a Bachelor’s in Automation from Southeast University Cheng Xian College. His professional experience focuses on advanced research in hydrogen-rich fuel gas production, CO2 capture, and chemical looping processes. Wang has been involved in designing modified calcium carriers for H2 production, constructing compact-fast dual fluidized bed units, and developing CO2 utilization technologies.

Professional profile

Education📚

Wang Fangjun is currently pursuing a PhD in Power Engineering and Engineering Thermophysics at Southeast University (2022–present). He holds a Master’s degree in Thermal Engineering from Shanghai University of Electric Power (2019–2022) and a Bachelor’s degree in Automation from Southeast University Cheng Xian College (2015–2019). His educational background provides a solid foundation in energy and engineering sciences.

Professional Experience🏛️

Wang Fangjun is a researcher in the field of energy and environmental technologies. His current research involves designing modified calcium carriers for hydrogen production and CO2 capture and constructing compact-fast dual fluidized bed units for effective CO2 capture. Previously, he focused on CO2 utilization and environmental protection technologies, including the development of active sulfur-modified carbon nitride and magnetic recovery systems for discarded catalysts.

Research Interest🏆

His research interests include hydrogen-rich fuel gas production, CO2 capture, chemical looping processes, and photocatalysis. Wang is particularly interested in developing innovative materials and processes for improving environmental sustainability and energy efficiency.

Award and Honor

  • National Scholarship of the People’s Republic of China (Top 0.2%) 🎓
  • Outstanding Graduate Students in Shanghai (Top 5%) 🏆
  • Southeast University Doctoral Freshman Scholarship (Top 0.3%) 🎓
  • Excellent Paper Award at the 2nd China Chemical Looping Conference (Top 3%) 📜

Technical Skills 🛠️

Wang is proficient in SEM-EDS, TEM, Raman, UV-Vis spectroscopy, and BET analysis. He is also experienced with software such as Microsoft Office, Origin, Photoshop, and Aspen Plus, demonstrating his technical versatility.

Publications top noted📜
  • “CO2 capture and H2 production performance of calcium-based sorbent doped with iron and cerium during calcium looping cycle”
    Wang, F., Chen, S., Chen, S., … Duan, L., Xiang, W.
    Process Safety and Environmental Protection, 2024, 188, pp. 1175–1190
    📄 0 citations
  • “Experimental investigation of operation characteristics of a lab-scale dual fluidized bed by calcium looping process”
    Liu, Y., Wang, F., Chen, S., Xiang, W.
    Chemical Engineering Science, 2024, 287, 119771
    📄 0 citations
  • “Carbon Dioxide Capture and Hydrogen Production with a Chemical Looping Concept: A Review on Oxygen Carrier and Reactor”
    Wang, F., Chen, S., Duan, L., Xiang, W.
    Energy and Fuels, 2023, 37(21), pp. 16245–16266
    📄 9 citations
  • “Construction of 2D/3D g-C3N4/ZnIn2S4 Heterojunction for Efficient Photocatalytic Reduction of CO2 under Visible Light”
    Wang, F., Chen, S., Wu, J., Xiang, W., Duan, L.
    Industrial and Engineering Chemistry Research, 2023, 62(39), pp. 15907–15918
    📄 7 citations
  • “Investigations on biomass gasification of compact-fast dual fluidized bed calcium looping”
    Wang, F., Zhou, W., Chen, S., Duan, L., Xiang, W.
    Journal of Cleaner Production, 2023, 405, 137065
    📄 8 citations
  • “Double adjustment of Ni and Co in CeO2/La2Ni2-xCoxO6 double perovskite type oxygen carriers for chemical looping steam methane reforming”
    Wang, F., Chen, S., Chen, S., … Duan, L., Xiang, W.
    Chemical Engineering Journal, 2023, 465, 143041
    📄 15 citations
  • “Ball-flower like CoS/g-C3N4 heterojunction photocatalyst for efficient and selective reduction of CO2 to CH4”
    Wang, F., Wu, J., Chen, S., Duan, L.
    Journal of CO2 Utilization, 2023, 69, 102402
    📄 6 citations
  • “Magnetically recyclable CoS-modified graphitic carbon nitride-based materials for efficient immobilization of gaseous elemental mercury”
    Wang, F., Tang, T., Zhang, R., … Chen, S., Li, W.
    Fuel, 2022, 326, 125117
    📄 47 citations
  • “Cu2+-doped BiOIO3 prepared by hydrothermal fabrication nanosheets for photocatalytic oxidation of gaseous mercury under visible light”
    Tang, T., Zou, J., Luo, F., … Li, J., Tian, F.
    Fuel, 2022, 311, 122513
    📄 17 citations
  • “LaFeO3 perovskite nanoparticles for efficient capture of elemental mercury from coal-fired flue gas”
    Pei, H., Li, X., Song, Y., … Zhao, X., Jia, T.
    Fuel, 2022, 309, 122134
    📄 19 citations

Muhammad Usama Zahid | Engineering | Best Researcher Award

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Mr. Muhammad Usama Zahid | Engineering | Best Researcher Award

PhD Scholar  at Sir Syed CASE Institute of Technology, Islamabad, Pakistan

Muhammad Usama Zahid is a Systems Engineer with a strong background in electronic warfare, signal processing, and artificial intelligence. Currently working with Scientific Engineering & Technology Services in Islamabad, he has a proven track record in system integration and development. 📈

Professional profile

Education📚

  • MS in Electrical Engineering (DSP): University of Engineering and Technology (UET), Taxila, July 2018
  • BS in Electrical Engineering (Electronics): Air University, Islamabad, June 2010
Professional Experience🏛️
  • Systems Engineer: Scientific Engineering & Technology Services, Islamabad (Mar 2019 – Present)
    • Led teams in system integration and performance optimization for the Pakistan Army.
    • Developed RF direction finding algorithms and validation applications.
  • Team Lead (C2): Scientific Engineering & Technology Services (Dec 2015 – Mar 2019)
    • Supervised development of C2 applications and led successful clearance of system milestones.
    • Designed machine learning-based RF fingerprinting modules and automatic modulation classification systems.
  • Application Engineer: Scientific Engineering & Technology Services (Jan 2011 – Dec 2015)
    • Developed and deployed RF direction finding algorithms and real-time frequency hopping analyzers.
  • SITE Engineer: Jaffer Brothers (Private) Limited, Islamabad (May 2010 – Jan 2011)
    • Executed network deployment and access control system installations.
Research Interest🏆
  • Electronic Warfare
  • Signal Processing Applications
  • Artificial Intelligence
  • Algorithms Design & Development
  • Data Analytics

Award and Honor

  • Chairman Certificate of Appreciation
  • DG’s Certificate of Appreciation
  • DG’s Commendation Card
  • Chairman PEC Appreciation Card
Achievements 🏆
  • Developed RF Direction Finding Algorithms: Engineered a calibration table generation process and validation application for airborne antenna arrays. 📡
  • Led System Integration Projects: Directed teams in integrating complex systems for the Pakistan Army, ensuring compliance with operational requirements. 🛠️
  • Machine Learning & Deep Learning Innovations: Designed and developed machine learning-based radio frequency fingerprinting modules and deep learning-based automatic modulation classification systems. 🤖
  • Successful System Clearances: Managed the successful clearance of key project milestones including Preliminary Design Review (PDR), Critical Design Review (CDR), Factory Acceptance Test (FAT), Integration Test (FIT), and System Acceptance Test (SAT). 🎯
  • Developed Real-Time Frequency Hopping Analyzers: Created and deployed algorithms for real-time frequency hopping analysis and gunshot detection and localization systems. 📊
  • Automated Water Purification Systems: Designed and automated water purification systems for shipborne platforms. 🚢
  • Integrated Network Systems: Executed network deployment and integration of IP-based devices and cameras for Jaffer Brothers. 🌐
  • Authored Notable Publications: Contributed to research on radio frequency fingerprinting and emitter identification with publications in IEEE Signal Processing Letters and other journals. 📚
Publications top noted📜
  • “Specific Emitter Identification Based on Multi-Scale Multi-Dimensional Approximate Entropy”
    IEEE Signal Processing Letters, 2024 📜
    Citations: 1 📈
  • “Radio Frequency Fingerprint Extraction Based on Multiscale Approximate Entropy”
    Physical Communication, 2022 📘
    Citations: 4 📈

Mauro De Sanctis | Engineering | Best Researcher Award

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Prof. Mauro De Sanctis | Engineering | Best Researcher Award

Associate Professor at University of Rome Tor Vergata, Italy 

Mauro De Sanctis is an esteemed Associate Professor of Telecommunications at the University of Roma “Tor Vergata” in Italy, where he teaches Information Theory and Data Science. With a Ph.D. in Telecommunications and Microelectronics Engineering from the same university, he has built a distinguished career in the field. Dr. De Sanctis is a founder of the university spin-off RadioPoints s.r.l. and has held various significant research roles, including at the Center for TeleInFrastruktur in Denmark and the Italian Space Agency (ASI). His work spans multiple international and European projects, focusing on satellite communications and wireless technologies. His contributions have been recognized through numerous awards and a high ranking in the Stanford/Elsevier list of Top 2% Scientists.

Professional profile

Education📚

Mauro De Sanctis earned his Ph.D. in Telecommunications and Microelectronics Engineering in 2006 from the University of Roma “Tor Vergata” (Italy). His academic journey laid the foundation for his extensive career in telecommunications research and technology.

Professional Experience🏛️

Dr. De Sanctis is an Associate Professor of Telecommunications at the Department of Electronics Engineering, University of Roma “Tor Vergata,” where he teaches Information Theory and Data Science. He has held notable positions, including research roles at the Center for TeleInFrastruktur (CTIF) in Denmark and the Italian Space Agency (ASI). He has been involved in several significant European and international projects, such as MAGNET, SatNEx, and TESHEALTH, and has coordinated high-profile projects like the Alphasat “Aldo Paraboni” Payload and the WIFISUITE project.

Research Interest🏆

His research interests focus on wireless terrestrial and satellite communication networks, wireless localization and sensing, data science, and information theory. He has contributed to advancing technologies in these areas through numerous projects and collaborations, often with a strong emphasis on space and satellite communications.

Award and Honor

Dr. De Sanctis has been recognized for his impactful work with multiple awards, including best paper awards from the International Conference on Advances in Satellite and Space Communications (SPACOMM 2009) and the International Symposium on Wireless Personal Multimedia Communications (WPMC 2022). In September 2022, he was ranked among the Top 2% Scientists by Stanford/Elsevier, highlighting his significant contributions to his field.

Achievements 🏆
  • Associate Professor at the Department of Electronics Engineering, University of Roma “Tor Vergata” (Italy) 🎓
  • Founder Member of the university spin-off RadioPoints s.r.l. 🏢
  • Research Fellow at the CTIF (Center for TeleInFrastruktur), University of Aalborg (Denmark) 🌍
  • Research Scholarship Holder at the Italian Space Agency (ASI) focused on Q/V band satellite communication links 📡
  • Scientific Responsible for the MAGNET Beyond European FP6 integrated project on “Coexistence of Radio Interfaces” 📊
  • Involved in the ESA ARIADNA extended study and Multipurpose Constellation project 🌌
  • Coordinator for projects like Alphasat “Aldo Paraboni” Payload and WIFISUITE, funded by ASI, ESA, and LazioInnova 🔬
  • General Chair of the European Wireless Conference 2023 🏆
  • Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and IEEE Aerospace and Electronic Systems Magazine 📚
  • Recipient of best paper awards from SPACOMM 2009 and WPMC 2022 🏅
  • Ranked among the Top 2% Scientists by Stanford/Elsevier in September 2022 🌟
  • Published over 150 papers in journals and conference proceedings, 7 book chapters, and holds one patent 📖

 

Publications top noted📜
  • Comparing Positioning Performance of LEO Mega-Constellations and GNSS in Urban Canyons
    IEEE Access | 2024
    DOI: 10.1109/ACCESS.2024.3364819
    Contributors: Harshal More; Ernestina Cianca; Mauro De Sanctis
  • Advanced Technologies for a Sustainable Future of Space
    Computer | 2024-08
    DOI: 10.1109/MC.2024.3402083
    Contributors: Ernestina Cianca; Mauro De Sanctis; Tommaso Rossi; Marina Ruggieri
  • A Study of DTN for Reliable Data Delivery From Space Station to Ground Station
    IEEE Journal on Selected Areas in Communications | 2024-05
    DOI: 10.1109/JSAC.2024.3365876
    Contributors: Ruhai Wang; Xingya Liu; Lei Yang; Yuanrong Xi; Mauro De Sanctis; Kanglian Zhao; Hong Yang; Scott C. Burleigh
  • Round Trip Time (RTT) and Doppler Measurements for IoRT Localization by a Single-Satellite
    IEEE Communications Letters | 2024-03
    DOI: 10.1109/LCOMM.2023.3348156
    Contributors: Syed Junaid Nawaz; Ernestina Cianca; Tommaso Rossi; Mauro De Sanctis
  • A Study of Licklider Transmission Protocol in Deep-Space Communications in Presence of Link Disruptions
    IEEE Transactions on Aerospace and Electronic Systems | 2023
    DOI: 10.1109/TAES.2023.3273523
    Contributors: Lei Yang; Jie Liang; Ruhai Wang; Xingya Liu; Mauro De Sanctis; Scott C. Burleigh; Kanglian Zhao
  • Short-term Forecast of Radiocommunication Geostationary Satellite Links coupling Weather Prediction and Radiopropagation Models
    2022 16th European Conference on Antennas and Propagation, EuCAP 2022 | 2022
    EID: 2-s2.0-85130602131
    Contributors: Biscarini, M.; Luini, L.; Riva, C.; Antonelli, P.; Di Fabio, S.; Bernardini, L.; Scaccia, P.; Cherubini, T.; Nebuloni, R.; Dossi, L. et al.
  • Experimental Model of Rainfall Rate Estimation Through the Opportunistic Use of Q-/V-Band Satellite Links
    IEEE Transactions on Aerospace and Electronic Systems | 2022-10
    DOI: 10.1109/TAES.2022.3163128
    Contributors: Tommaso Rossi; Mauro De Sanctis; Simone Di Domenico; Marina Ruggieri; Ernestina Cianca
  • RF-Based Device-Free Counting of People Waiting in Line: A Modular Approach
    IEEE Transactions on Vehicular Technology | 2022-10
    DOI: 10.1109/TVT.2022.3182548
    Contributors: Mauro De Sanctis; Simone Di Domenico; Davide Fioravanti; Eduardo Ballesteros Abellan; Tommaso Rossi; Ernestina Cianca
  • Low-Complexity Blind Equalization in Q/V Band Satellite Links: An Experimental Assessment
    IEEE Transactions on Aerospace and Electronic Systems | 2021-12
    DOI: 10.1109/TAES.2021.3111781
    Contributors: Tommaso Rossi; Mauro De Sanctis; Simone Di Domenico; Marina Ruggieri; Ernestina Cianca
  • CIR-Based Device-Free People Counting via UWB Signals
    Sensors | 2021-05-10
    DOI: 10.3390/s21093296
    Contributors: Mauro De Sanctis; Aleandro Conte; Tommaso Rossi; Simone Di Domenico; Ernestina Cianca

 

Abazar Asghari | Engineering | Best Researcher Award

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Assoc Prof Dr. Abazar Asghari | Engineering | Best Researcher Award

Associate Professor at University of Tehran, Tehran, Iran

Dr. Abazar Asghari is an accomplished Associate Professor in the field of structural engineering, with a distinguished academic and professional background. He specializes in seismic design, tall buildings, and the dynamics of structures, with a particular focus on the resilience and performance of steel buildings. Dr. Asghari is a prolific author, having published numerous research papers and books that serve as essential resources in the field. His commitment to advancing knowledge and educating future engineers makes him a respected figure in the academic and engineering communities.

Professional profile

Education📚

Dr. Abazar Asghari holds a robust academic background in civil and structural engineering. He earned his Bachelor of Science (BSc) in Civil Engineering from Esfahan University of Technology in 1990. He then pursued a Master of Science (MSc) in Structural Engineering at the University of Tehran, graduating in 1994. Dr. Asghari continued his studies at the University of Tehran, where he completed his Ph.D. in Structural Engineering in 2001, further solidifying his expertise in the field.

Professional Experience🏛️

Dr. Asghari is currently an Associate Professor, bringing years of experience in both teaching and research. He has taught a variety of courses, ranging from introductory topics like Steel Structures to advanced subjects such as Seismic Design and Dynamics of Structures. His professional career is marked by a deep commitment to educating future engineers and contributing to the field of structural engineering through extensive research.

Research Interest🏆

Dr. Asghari’s research interests are centered around critical aspects of structural engineering. His focus areas include Seismic Design of Steel Buildings, Analysis and Design of Tall Buildings, Composite Structures, and the Dynamics of Structures. He is particularly interested in the performance evaluation and seismic resilience of steel buildings, as well as numerical and experimental studies on the behavior of steel connections, making significant contributions to the safety and sustainability of infrastructure.

Award and Honor

Dr. Asghari’s dedication to his field has been recognized through various awards and honors. He has authored several influential books on steel structures and dynamics, which have been acknowledged as significant contributions to engineering education. His work has also been featured in numerous high-impact journals, and his research on seismic behavior and steel structures has earned him recognition as a leading expert in his field. His contributions have not only advanced academic knowledge but also had practical implications in structural engineering.

Achievements 🏆
  • Extensive Publication Record: Authored and co-authored numerous peer-reviewed journal articles, particularly focusing on seismic design, steel structures, and structural dynamics.
  • Prolific Author: Wrote several influential books on steel structures and the dynamics of structures, widely used as references in academic and professional circles.
  • Specialized Research: Made significant contributions to the understanding and development of seismic design methodologies for steel buildings, including the analysis and performance evaluation of steel connections.
  • Educational Impact: Developed and taught a wide range of courses in structural engineering, from basic to advanced levels, influencing a generation of engineers.
  • Recognition: His research has been recognized and cited extensively in the structural engineering community, highlighting his influence and authority in the field.
  • Conference Contributions: Presented research findings at key conferences, contributing to the dissemination of new knowledge in structural engineering.
  • Collaboration and Mentorship: Actively engaged in mentoring students and collaborating with peers, fostering a strong academic community in structural engineering.

 

Publications top noted📜
  1. Lateral-torsional buckling investigation of multi-tiers eccentrically braced frames with shear link beam
    • Authors: Rezaee, M., & Asghari, A.
    • Year: 2024
    • Citations: 0
      📄
  2. A new performance-based seismic design method using endurance time analysis for linked column frame system and a comparison of structural systems and seismic analysis methods
    • Authors: Jaberi, V., Jaberi, M., & Asghari, A.
    • Year: 2024
    • Citations: 4
      📄
  3. Self-centering of steel braced frames equipped with Fe-SMA TADAS dampers
    • Authors: Torabizadeh, A., Foyouzat, A., Asghari, A., & Mohammadi, S.
    • Year: 2024
    • Citations: 1
      📄
  4. Experimental and numerical study on weld strengths of built-up steel box columns
    • Authors: Tajik, N., Mirghaderi, S.R., Asghari, A., & Hamidia, M.
    • Year: 2024
    • Citations: 5
      📄
  5. Seismic Behavior Assessment of Special Concentrically X-braced Frame with Through Gusset Plate
    • Authors: Asghari, A., & Hosseini, S.
    • Year: 2024
    • Citations: 0
      📄
  6. Corrigendum to “Seismic behavior of linked column system as a steel lateral force resisting system”
    • Authors: Jaberi, V., & Asghari, A.
    • Year: 2024
    • Citations: 1
      📄
  7. Seismic behavior of linked column system as a steel lateral force resisting system
    • Authors: Jaberi, V., & Asghari, A.
    • Year: 2022
    • Citations: 6
      📄
  8. Shear strength and stiffness enhancement of cross-stiffened steel plate shear walls
    • Authors: Jalilzadeh Afshari, M., Asghari, A., & Gholhaki, M.
    • Year: 2019
    • Citations: 5
      📄
  9. Seismic design and performance evaluation of steel frames with knee-element connections
    • Authors: Asghari, A., & Saharkhizan, S.
    • Year: 2019
    • Citations: 17
      📄
  10. A New Study of Seismic Behavior of Perforated Coupled Shear Walls
    • Authors: Asghari, A., & Azimi Zarnagh, B.
    • Year: 2017
    • Citations: 7
      📄

 

Tee Hui Teo | Engineering | Best Researcher Award

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Prof. Tee Hui Teo | Engineering | Best Researcher Award

Professor at Singapore University of Technology and Design, Singapore 

T. Hui Teo is a distinguished academic and industry expert with a strong background in Electrical and Electronic Engineering. His career spans various prestigious organizations and educational institutions, where he has made significant contributions to both technological advancements and engineering education. As a leader and innovator, he is deeply committed to enhancing the fields of Integrated Circuits design, AI, and applied technologies.

Professional profile

Education📚

T. Hui Teo earned his Master of Engineering and Ph.D. degrees in Electrical & Electronic Engineering from the National University of Singapore and Nanyang Technological University in 2000 and 2009, respectively. His academic background is robust, laying the foundation for his extensive career in both industry and academia.

Professional Experience🏛️

T. Hui Teo’s professional journey includes roles at Sharp, ST-Microelectronics, Intelligent Micro-Devices (Matsushita), and A*STAR, where he served as a principal investigator in advanced IC design. In 2010, he transitioned into academia, contributing to the establishment of Analog and Digital IC design courses at the Technical University of Munich, Asia. Currently, he leads the Electrical Power Circuits & Systems Laboratory and Electronics Design Laboratory at the Singapore University of Technology & Design, playing a pivotal role in shaping the future of engineering education.

Research Interest🏆

His research interests focus on Integrated Circuits design, AI applications, and the standardization of electrical and electronic systems. T. Hui Teo is actively involved in advancing these fields through his participation in technical committees and contribution to developing international standards.

Award and Honor

T. Hui Teo has received numerous accolades throughout his career, including the SP Top 10% Best Teaching Award (2010), SUTD Best Teaching Award (2017), and the Singapore National Day Award (2022) Commendation Award. His dedication to excellence is further recognized through his Fellowship at The Institution of Engineers Singapore (IES) and his active role in various professional organizations.

Achievements 🏆
  • 🏆 SP Top 10% Best Teaching Award (2010): Recognized for excellence in teaching.
  • 🥇 SUTD Best Teaching Award (2017): Awarded for outstanding contributions to student learning.
  • 🎖️ EnterpriseSG-SSC/SAC Commendation Award (2022): Honored for significant contributions to standardization.
  • 🇸🇬 Singapore National Day Award (2022) Commendation Award: Acknowledged for his impactful service to the nation.
  • 📚 Fellow of The Institution of Engineers Singapore (IES): Elevated to Fellow status for his professional achievements.
  • 🏅 Senior Member of the Institute of Electrical and Electronics Engineers (IEEE): Recognized for his extensive contributions to IEEE societies.
  • 🌏 Chair of the Engineering Education and Capacity Building Workgroup in AFEO: Led efforts to enhance engineering education in the ASEAN region.
  • 🎓 Chartered Engineer (Sg) in Transportation: Attained chartered status in transportation engineering, showcasing his expertise.
  • 📊 Board of Directors, IES-Academy Pte. Ltd.: Serves as a key member, guiding educational initiatives within the engineering community.
  • 📖 Guest Editor for Various IEEE and MDPI Journals: Contributed to advancing knowledge through editorial leadership in reputable journals.
Publications top noted📜
  • 📰 A Novel Implementation of a Social Robot for Sustainable Human Engagement in Homecare Services for Ageing Populations
    • Authors: Kok, C.L., Ho, C.K., Teo, T.H., Kato, K., Koh, Y.Y.
    • Year: 2024
    • Citations: 0
  • 📰 A DC-DC Converter with Switched-Capacitor Delay Deadtime Controller and Enhanced Unbalanced-Input Pair Zero-Current Detector to Boost Power Efficiency
    • Authors: Kok, C.L., Tang, H., Teo, T.H., Koh, Y.Y.
    • Year: 2024
    • Citations: 2
  • 📰 A Novel Low-Cost Capacitance Sensor Solution for Real-Time Bubble Monitoring in Medical Infusion Devices
    • Authors: Kok, C.L., Dai, Y., Lee, T.K., Teo, T.H., Chai, J.P.
    • Year: 2024
    • Citations: 1
  • 📰 An Embedded Machine Learning Fault Detection System for Electric Fan Drive
    • Authors: Aung, K.H.H., Kok, C.L., Koh, Y.Y., Teo, T.H.
    • Year: 2024
    • Citations: 2
  • 📰 A Novel Single-Word Speech Recognition on Embedded Systems Using a Convolution Neuron Network with Improved Out-of-Distribution Detection
    • Authors: Chen, J., Teo, T.H., Kok, C.L., Koh, Y.Y.
    • Year: 2024
    • Citations: 2
  • 📰 Development and Evaluation of an IoT-Driven Auto-Infusion System with Advanced Monitoring and Alarm Functionalities
    • Authors: Kok, C.L., Teo, T.H., Koh, Y.Y., Ang, B.K., Chai, J.P.
    • Year: 2024
    • Citations: 0
  • 📰 A Novel Portable Solar Powered Wireless Charging Device
    • Authors: Kok, C.L., Fu, X., Koh, Y.Y., Teo, T.H.
    • Year: 2024
    • Citations: 1
  • 📰 Pre-Computing Batch Normalisation Parameters for Edge Devices on a Binarized Neural Network
    • Authors: Phipps, N., Shang, J.-J., Teo, T.H., Wey, I.-C.
    • Year: 2023
    • Citations: 1
  • 📰 Selective Pruning of Sparsity-Supported Energy-Efficient Accelerator for Convolutional Neural Networks
    • Authors: Liu, C.-C., Wey, I.-C., Zhang, X., Teo, T.H.
    • Year: 2023
    • Citations: 0
  • 📰 A Convolutional Neural Network Inference Accelerator Design using Algorithmic Noise-Tolerance Technology
    • Authors: Yang, S.-Y., Wey, I.-C., Hsu, H.-K., Teo, T.H.
    • Year: 2023
    • Citations: 0

Francisco García García | Engineering | Best Researcher Award

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Dr. Francisco García García | Engineering | Best Researcher Award

Senior Lecturer in Chemical Reaction Engineering – Discipline Programme Manager at The University of Edinburgh, United Kingdom

Dr. Francisco R. García García is a Senior Lecturer in Chemical Engineering at the University of Edinburgh, where he also serves as the Discipline Program Manager. His research focuses on the development of advanced catalytic reactors for clean energy production and emission control. With over 45 published papers and more than 1,500 citations, Dr. García García has established himself as a leader in the field of chemical reaction engineering, particularly in the integration of multi-processes within a single system. 🌍🔬 ✨📚

Professional profile

Education📚

Dr. García García holds a PhD in Chemical Engineering from the Institute of Catalysis and Petrochemical, CSIC, Madrid, Spain, where he graduated with Summa Cum Laude honors. He also earned a BSc in Chemistry from the Autónoma University of Madrid and completed a Teacher Training Course at the Complutense University of Madrid. His academic background is complemented by various accolades, including the Extraordinary PhD Prize and a Mention of European PhD Award. 🎓📚

Professional Experience🏛️

Dr. García García has held numerous prestigious positions throughout his career, including Senior Scientist at Johnson Matthey Technology Centre and UK Catalysis Hub Research Fellow at Newcastle University and the University of Cambridge. He has also served as an Honorary Research Associate at Imperial College London. Currently, he is a Visiting Professor at Universiti Teknologi Malaysia and has held guest lecturer roles at esteemed institutions worldwide. His professional journey reflects his commitment to advancing chemical engineering and contributing to global education. 🌐💼

Research Interest🏆

Dr. García García’s research interests lie in the synthesis, design, and development of multifunctional catalytic reactors that integrate multiple processes into a single system. He is particularly focused on the production of clean energy, emission control, and carbon capture. His work on micro-structured ceramic hollow fibers as catalyst supports has garnered significant attention and funding, reflecting the innovative nature of his research. 🔋🌱

Award and Honor

Dr. García García has been recognized with several prestigious awards and honors throughout his career. In 2024, he was awarded an honorary doctorate (Doctor Honoris Causa) by the Royal and Pontifical Higher University of San Francisco Xavier of Chuquisaca in Bolivia for his outstanding contributions to chemical reaction engineering. He is also a Fellow of the Higher Education Academy, highlighting his commitment to excellence in teaching and learning. Additionally, he was a runner-up for the Edinburgh University Student Association Teacher of the Year Award in 2021, selected from over 2,844 nominations. 🏆🌟

Achievements 🏆
  • Research Excellence: Published over 45 papers with more than 1,500 citations, achieving an h-index of 23, demonstrating significant impact in the field of chemical engineering. 📚🔬
  • Innovative Research: Pioneered the use of micro-structured ceramic hollow fibers as supports for catalysts, solvents, and inorganic dense membranes, advancing clean energy production and emission control technologies. 🌱⚙️
  • Research Funding: Secured over £797,000 in research grants and consultancy, reflecting strong trust and support from various academic and industry partners. 💰🔗
  • Academic Leadership: Successfully mentored and supervised over 50 students at BSc, MSc, and PhD levels, contributing to the development of the next generation of chemical engineers. 🎓👨‍🎓
  • Recognition: Awarded the honorary title of Doctor Honoris Causa by the Royal and Pontifical Higher University of San Francisco Xavier of Chuquisaca, Bolivia, for outstanding contributions to the field of chemical reaction engineering. 🎖️🌟
  • Teaching Excellence: Runner-up for the 2021 Edinburgh University Student Association Teacher of the Year Award, selected from over 2,844 nominations, highlighting his dedication to education. 👨‍🏫🏅
  • Global Engagement: Actively participated in international academic collaborations and delivered guest lectures at top universities worldwide, enhancing global knowledge exchange in chemical engineering. 🌍🗣️
  • Professional Fellowship: Earned Fellowship of the Higher Education Academy, affirming his commitment to professional standards in teaching and learning in higher education. 🏅🎓
  • Industrial Experience: Gained significant industrial experience as a Senior Scientist at Johnson Matthey Technology Centre, contributing to the development of advanced emissions control technologies. 🏭🔧
  • Leadership Roles: Serves as the Discipline Program Manager for Chemical Engineering at the University of Edinburgh, guiding the program’s strategic direction and academic excellence. 📊🎯
Publications top noted📜
  1. Non-PGM hollow fibre-based after-treatment for emission control under real diesel engine exhaust gas conditions
    • Authors: Leishman, C., García-Vázquez, M., Bekris, L., Li, K., García-García, F.R.
    • Year: 2024
    • Citations: 1
    • Journal: Materials Today Sustainability
      📄
  2. Manganese-based catalysts supported on carbon xerogels for the selective catalytic reduction of NOx using a hollow fibre-based reactor
    • Authors: Leishman, C., Mazzone, S., Sun, Y., Li, K., García-García, F.R.
    • Year: 2023
    • Citations: 4
    • Journal: Catalysis Today
      📊
  3. Ultrasmall superparamagnetic iron oxide nanoparticles for enhanced tumor penetration
    • Authors: Feng, X., Xue, Y., Gonca, S., Kamenev, K.V., Chen, X.
    • Year: 2023
    • Citations: 6
    • Journal: Journal of Materials Chemistry B
      🧪
  4. Retrofitting hollow fibre carbon capture systems to decarbonise surface transport
    • Authors: Larkin, C., Lampri, K., Mazzone, S., Li, K., García-García, F.R.
    • Year: 2023
    • Citations: 4
    • Journal: Journal of CO2 Utilization
      🌍
  5. Hollow Fibre Adsorption Unit for On-board Carbon Capture: The Key to Reducing Transport Emissions
    • Authors: Larkin, C., Morrison, J., Hemmings, M., Oliva, F., García-García, F.R.
    • Year: 2022
    • Citations: 10
    • Journal: Carbon Capture Science and Technology
      🚗
  6. Ruthenium-based catalysts supported on carbon xerogels for hydrogen production via ammonia decomposition
    • Authors: Mazzone, S., Goklany, T., Zhang, G., Papaioannou, E.I., García-García, F.R.
    • Year: 2022
    • Citations: 15
    • Journal: Applied Catalysis A: General
      ⚙️
  7. A compact non-PGM catalytic hollow fibre converter for on-board hydrogen production
    • Authors: Mazzone, S., Leishman, C., Zhang, G., García-García, F.R.
    • Year: 2022
    • Citations: 6
    • Journal: Sustainable Energy and Fuels
      🔋
  8. Scaling up a hollow fibre reactor: A study on non-PGM hollow fibre after-treatments for methane emission control under extreme conditions
    • Authors: García-Vázquez, M., Marín, P., Ordóñez, S., Zhang, G., García-García, F.R.
    • Year: 2021
    • Citations: 7
    • Journal: Journal of Environmental Chemical Engineering
      🌡️
  9. Chemical looping dry reforming of methane using mixed oxides of iron and cerium: Operation window
    • Authors: García-García, F.R., Metcalfe, I.S.
    • Year: 2021
    • Citations: 16
    • Journal: Catalysis Communications
      🔄
  10. Ammonia cracking hollow fibre converter for on-board hydrogen production
    • Authors: Mazzone, S., Campbell, A., Zhang, G., García-García, F.R.
    • Year: 2021
    • Citations: 14
    • Journal: International Journal of Hydrogen Energy