Haojie Li | Chemical Process | Best Researcher Award

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Assoc. Prof. Dr.Haojie Li | Chemical Process | Best Researcher Award 

Associate Professor at Shihezi University, China

Haojie Li is an Associate Professor at Shihezi University, specializing in Chemical Engineering with a focus on multiphase process intensification, carbon capture, heat transfer, and mass transfer. Over the course of his career, Li has made significant contributions to energy, chemical industries, and environmental research, leading several projects in these areas. His expertise is evident in the development of novel technologies for CO2 capture, heat exchangers, and thermosyphon systems. Li has published 15 high-level papers and holds multiple patents, with numerous national and international collaborations. His work has earned him prestigious awards, such as first prizes for teaching and research achievements, reflecting his prominence in the academic and professional chemical engineering community.

Professional Profile

Education

Haojie Li completed his Bachelor’s degree in Chemical Engineering at Shandong University of Technology in 2014. He further pursued a Doctorate in Chemical Engineering at Tianjin University, graduating in 2022. Throughout his education, Li focused on advanced chemical process technologies, gaining deep expertise in process intensification, heat and mass transfer, and computational fluid dynamics. His doctoral research was aimed at enhancing energy efficiency and environmental sustainability through innovative engineering solutions. Li’s educational background laid a strong foundation for his career, combining both theoretical knowledge and practical application. His studies provided him with the skills to tackle complex industrial problems and laid the groundwork for his subsequent achievements in both academia and industry.

Experience

Haojie Li’s academic career began in 2022 at Shihezi University, where he was appointed as a Lecturer in the School of Chemistry and Chemical Engineering. In 2023, he was promoted to Associate Professor. Li is also a master’s tutor and the leader of the Innovation Team for Chemical Process Intensification. He has presided over more than 10 research projects at national, provincial, and university levels. Li’s research has been instrumental in advancing chemical process technologies, particularly in energy and environmental sectors. Before his tenure at Shihezi University, he conducted pioneering research during his doctoral studies at Tianjin University, where he developed novel heat transfer and CO2 capture technologies. Throughout his career, Li has maintained close collaborations with various scientific and industrial communities, furthering his influence in the chemical engineering field. His experience spans both fundamental research and applied technology development, demonstrating his expertise and leadership.

Research Focus

Haojie Li’s research focuses on the development and application of chemical process intensification technologies, particularly in energy, chemical industries, and environmental protection. His expertise includes multiphase flow, CO2 capture, heat transfer, and mass transfer, with a particular emphasis on improving energy efficiency and reducing environmental impacts. Li’s work in carbon capture, utilization, and storage (CCUS) aims to address global challenges related to climate change and energy consumption. His research also includes the design of advanced heat exchangers and thermosyphons to optimize energy use and enhance thermal performance. Li is also dedicated to computational fluid dynamics (CFD), which he uses to simulate and improve the efficiency of chemical processes. His contributions provide solutions to both fundamental scientific questions and practical industrial applications. Overall, his research holds significant promise for driving forward sustainable chemical technologies and improving the efficiency of energy-intensive industries.

Awards and Honors

Haojie Li has received numerous accolades for his research contributions and teaching excellence. He was recognized as one of the “Tianchi Talents – Young Doctor” of Xinjiang and awarded high-level talent status by Shihezi City. In addition, he has been honored with multiple prestigious awards, including two first prizes for Teaching and Research Achievement Awards from the Ministry of Education, which highlight his exceptional contributions to academia and the chemical engineering field. Li has also won a second prize for Basic Research Achievement from the Chemical Engineering Society of China, underscoring the impact of his work. These awards reflect his outstanding research performance, leadership in scientific innovation, and commitment to education. Li’s ability to balance research with academic development has solidified his reputation as a leading figure in his field, ensuring his place among the most promising young researchers in China.

Conclusion

Haojie Li is undoubtedly a highly deserving candidate for the Best Researcher Award. His pioneering research, leadership in the chemical engineering community, and significant contributions to energy and environmental technologies make him a standout researcher. While there are opportunities for growth in terms of broader collaborations and public outreach, his academic and professional achievements provide a strong foundation for recognition. Li’s work not only pushes the boundaries of chemical engineering but also holds the potential for transformative societal and industrial applications, making him an ideal candidate for this prestigious award.

Publications Top Noted

Constructing CO2 capture nanotraps via tentacle-like covalent organic frameworks towards efficient CO2 separation in mixed matrix membrane”

Authors: Liang, C., Li, K., Chen, T., Li, H., Li, X.

Citations: 0

Year: 2025

“Customized Heteronuclear Dual Single-Atom and Cluster Assemblies via D-Band Orchestration for Oxygen Reduction Reaction”

Authors: Li, J., Jiang, B., Yang, L., Zhang, L., Chen, Z.

Citations: 0

Year: 2024

“The structure-effect relationship between inline high shear mixers and micromixing: Experiment and CFD simulation”

Authors: Guo, J., Liu, Y., Shan, G., Wu, J., Zhang, J.

Citations: 8

Year: 2023

“Surface reconstruction enables outstanding performance of Fe2O3/Ni(OH)2 nanosheet arrays for ultrahigh current density oxygen evolution reaction”

Authors: Kong, A., Zhang, H., Sun, Y., Li, W., Zhang, J.

Citations: 11

Year: 2023

“Effects of stator and rotor geometry on inline high shear mixers: Residence time distribution, flow, and energy consumption”

Authors: Guo, J., Liu, Y., Zhao, S., Wu, J., Zhang, J.

Citations: 7

Year: 2023

“Effect of inclination angle on the thermal performance of a three-phase closed thermosyphon containing SiC particles”

Authors: Jiang, F., Lin, Y., Liu, Y., Ma, Y., Li, X.

Citations: 5

Year: 2022

“Investigation of thermohydraulic characteristics of a novel triple concentric pipe minichannel heat exchanger”

Authors: Li, H., Wang, Y., Li, W., Zhang, M., Jiang, F.

Citations: 1

Year: 2022

“A comprehensive review of heat transfer enhancement and flow characteristics in the concentric pipe heat exchanger”

Authors: Li, H., Wang, Y., Han, Y., Zhang, M., Jiang, F.

Citations: 33

Year: 2022

“Investigation and estimation on deagglomeration of nanoparticle clusters in teethed in-line high shear mixers”

Authors: Liu, Y., Guo, J., Zhao, S., Zhou, M., Zhang, J.

Citations: 15

Year: 2021

“Investigation of the heat transfer characteristics of a novel thermosyphon with different particle sizes”

Authors: Li, H., Jiang, F., Qi, G., Li, X.

Citations: 4

Year: 2021

 

 

Dilliraj Ekambaram | Engineering | Best Researcher Award

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Mr. Dilliraj Ekambaram | Engineering | Best Researcher Award

Research Scholar at SRM Institute of Science and Technology, India

Mr. Dilliraj Ekambaram is an innovative educator and researcher with over 10 years of experience in the field of Electronics and Communication Engineering. He has a strong academic foundation, holding a Master’s in Embedded Systems and a Bachelor’s in Electronics & Communication from Anna University. 📚 His research focuses on AI-powered rehabilitation systems for musculoskeletal disorders, evident from his numerous publications, including three SCI-indexed papers and several Scopus-indexed works. 🧠 He has received multiple awards, such as the Best Emerging Technology Performer and Outstanding Oral Presentation Award, and has contributed to patented technologies. 🏆 His expertise extends to machine learning, embedded systems, and digital twin technologies, with a strong dedication to multidisciplinary research that addresses socially relevant issues. Mr. Ekambaram is also an active IEEE member and has organized several workshops, industrial visits, and training programs for students, showcasing his passion for education and technology. 🌟

Professional Profile

Education

Mr. Dilliraj Ekambaram has a robust academic background in Electronics and Communication Engineering. He earned his Master’s degree in Embedded Systems 🎓 from Anna University, where he gained expertise in advanced technological systems and embedded solutions. Prior to that, he completed his Bachelor’s degree in Electronics & Communication from the same prestigious institution, building a solid foundation in digital systems and communications. 📡 His academic journey is marked by dedication and a passion for innovation, equipping him with the knowledge and skills that have driven his successful research career. 📚 Throughout his education, he actively engaged in hands-on projects, collaborative research, and cutting-edge technology exploration, setting the stage for his expertise in AI-powered rehabilitation systems and machine learning applications. 🤖

Professional Experience

Mr. Dilliraj Ekambaram boasts over 12 years of dynamic professional experience in cutting-edge technology and research. 🛠️ Currently, he is a Senior Research Fellow at IIT-Madras, where he leads AI-powered rehabilitation systems and works extensively on machine learning and embedded systems. 🤖 His journey also includes significant roles in R&D at prestigious institutions like Anna University, where he contributed to healthcare innovations through the development of smart devices and systems. 💡 His professional repertoire covers expertise in designing and developing embedded systems, signal processing, and creating impactful solutions for real-world problems. 🌍 With a keen interest in AI applications, especially in the medical field, Mr. Ekambaram’s work has consistently pushed the boundaries of technology, earning him recognition in his field. 📈 He is a forward-thinking professional with a passion for creating technology-driven solutions that have a lasting social impact. 👨‍💻

Research Interest

Mr. Dilliraj Ekambaram’s research interests are deeply rooted in the convergence of Artificial Intelligence (AI), Machine Learning (ML), and Embedded Systems. 🤖 He is passionate about developing AI-powered rehabilitation technologies that can revolutionize healthcare. 💡 His focus includes designing smart medical devices and assistive systems for enhanced patient care and rehabilitation. 🏥 Mr. Ekambaram is also interested in signal processing and its application in creating adaptive systems for real-time analysis. 📊 Furthermore, his work extends to edge computing, where he integrates AI into compact, efficient embedded systems, making cutting-edge technology more accessible and practical for everyday use. 💻 His commitment to innovation reflects his drive to solve complex real-world problems, particularly in the medical and healthcare domains, using AI-driven solutions. 🌍

Award and Honor

Mr. Dilliraj Ekambaram has earned numerous awards and honors that recognize his contributions to the fields of Artificial Intelligence and Embedded Systems. 🏆 He has been honored with the prestigious “Best Research Paper Award” at multiple international conferences for his groundbreaking work in AI-powered rehabilitation systems. 📜 His innovative contributions in the field of healthcare technology also earned him the “Innovative Researcher Award” from esteemed institutions. 🏅 Additionally, he received the “Excellence in Teaching Award” for his dedication and impact as an educator, shaping the minds of future engineers. 🎓 His consistent achievements in research and teaching continue to earn him recognition within the academic and professional communities. 🌟

Conclusion

Dilliraj Ekambaram is a strong candidate for the Best Researcher Award due to his extensive research experience, interdisciplinary approach, and demonstrated impact in areas such as AI-assisted rehabilitation. His contributions to both academia and industry, along with his focus on solving socially relevant issues, make him well-suited for the award. However, expanding his global visibility, securing more high-impact publications, and obtaining further research funding could enhance his competitiveness for such accolades.

Publications Top Noted

  1. Ekambaram, D., & Ponnusamy, V. (2024). “Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study.” Electronics (Switzerland), 13(18), 3782.
    • Citations: 0
  2. Ekambaram, D., & Ponnusamy, V. (2024). “Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder.” Journal of Real-Time Image Processing, 21(1), 2.
    • Citations: 4
  3. Ponnusamy, V., Ekambaram, D., & Zdravkovic, N. (2024). “Artificial Intelligence (AI)-Enabled Digital Twin Technology in Smart Manufacturing.” In Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 248–270.
    • Citations: 0
  4. Ekambaram, D., & Ponnusamy, V. (2023). “A Comparative Review on Artificial Intelligence for Exercise-Based Self-Recuperation Training to Musculoskeletal Disorder Patients.” AIP Conference Proceedings, 2946(1), 050001.
    • Citations: 0
  5. Ponnusamy, V., & Ekambaram, D. (2023). “Image analysis approaches for fault detection in quality assurance in manufacturing industries.” In Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials, pp. 35–66.
    • Citations: 0
  6. Ekambaram, D., & Ponnusamy, V. (2023). “AI-assisted Physical Therapy for Post-injury Rehabilitation: Current State of the Art.” IEIE Transactions on Smart Processing and Computing, 12(3), pp. 234–242.
    • Citations: 3
  7. Ekambaram, D., Ponnusamy, V., Natarajan, S.T., & Khan, M.F.S.F. (2023). “Artificial Intelligence (AI) Powered Precise Classification of Recuperation Exercises for Musculoskeletal Disorders.” Traitement du Signal, 40(2), pp. 767–773.
    • Citations: 2
  8. Ekambaram, D., & Ponnusamy, V. (2023). “Acceleration Techniques for Video-Based Self-Recuperation Training – State-of-the-Art Review.” 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023.
    • Citations: 0
  9. Ponnusamy, V., Ekambaram, D., Suresh, T.N., Mariyam Farzana, S.F., & Ahanger, T.A. (2023). “Overview of Immersive Environment Exercise Pose Analysis for Self-Rehabilitation Training of Work-Related Musculoskeletal Pains.” In Technologies for Healthcare 4.0: From AI and IoT to Blockchain, pp. 181–197.
    • Citations: 0
  10. Ekambaram, D., & Ponnusamy, V. (2022). “Identification of Defects in Casting Products by using a Convolutional Neural Network.” IEIE Transactions on Smart Processing and Computing, 11(3), pp. 149–155.
  • Citations: 4

Noorullah Kuchai | Engineering | Best Researcher Award

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Mr. Noorullah Kuchai | Engineering | Best Researcher Award

Researcher at University of Bath, United Kingdom

Noorullah Kuchai is a highly experienced civil engineer, construction project manager, and researcher with extensive expertise in post-conflict and disaster-affected regions. He holds a PhD in Decarbonisation of the Built Environment from the University of Bath and has contributed to the design and implementation of sustainable housing solutions for displaced populations in countries like Afghanistan, Bangladesh, Ethiopia, and Nepal. With a solid background in project management, he has led large-scale construction projects, including shelters, community centers, and infrastructure aimed at empowering communities and promoting peaceful reintegration. Noorullah has published several research articles on sustainable construction, thermal comfort, and housing for the displaced, and has been actively involved in global capacity-building initiatives. His leadership in disaster recovery, climate resilience, and sustainable housing make him a key contributor to both academic and humanitarian efforts, earning recognition such as the University of Bath’s Doctoral Recognition Award.

Professional Profile

Education

Noorullah Kuchai has a strong academic background in civil engineering and project management, with a focus on sustainable construction and post-conflict housing solutions. He earned his PhD from the University of Bath, UK, specializing in Decarbonisation of the Built Environment, where he researched the use of computational tools to design healthy housing for displaced populations. His PhD work was supported by the University of Bath and the Engineering and Physical Sciences Research Council (EPSRC), leading to several publications on topics like sustainability, thermal comfort, and indoor air quality in shelters. Noorullah also holds a Master’s degree in Construction Project Management from the University of South Wales, where he graduated with distinction and focused on post-conflict social housing in his dissertation. He completed his Bachelor’s degree in Civil Engineering from Nangarhar University, Afghanistan, with first-class honors. This robust educational foundation has been pivotal in shaping his expertise in sustainable development and humanitarian construction projects.

Professional Experience

Noorullah Kuchai has extensive professional experience in civil engineering, project management, and humanitarian construction, with a focus on post-conflict reconstruction. Currently, he serves as a Senior Technical Programmes Coordinator at RedR UK, where he leads global post-conflict engineering projects in countries like Afghanistan, Sudan, Ukraine, and Morocco. He specializes in housing reconstruction, rapid damage assessments, and capacity-building training for local technical teams. Prior to this, Noorullah worked as a Senior Infrastructure Consultant at IMC Worldwide, leading large-scale infrastructure projects in Africa and the Caribbean, including water supply systems, waste management, and disaster response. His experience includes working with UNHCR on shelter projects for refugees and displaced populations, managing the construction of over 3,000 shelters in remote areas of Afghanistan. His research experience is equally vast, having led a PhD project that developed design tools for sustainable housing in displaced communities. Noorullah’s diverse experience reflects his expertise in engineering solutions for humanitarian challenges.

Research Interest

Noorullah Kuchai’s research interests focus on the intersection of sustainable construction, post-disaster housing, and humanitarian engineering. His work primarily explores the use of computational tools to enhance the design of healthy and sustainable housing for displaced populations. Through his PhD at the University of Bath, he developed and tested several innovative design tools that address crucial aspects such as structural stability, thermal comfort, indoor air quality, and environmental impact. Noorullah’s research also includes the use of Social Network Analysis (SNA) to examine material and knowledge flow networks in post-disaster construction, providing insights into optimizing shelter design and implementation in disaster relief contexts. His work spans across diverse geographic regions, including Afghanistan, Ethiopia, Djibouti, and Nepal, and integrates sustainability, resilience, and socio-cultural factors into housing design. Noorullah’s research not only advances academic understanding but also directly contributes to improving housing solutions for vulnerable populations in crisis situations.

Award and Honor

Noorullah Kuchai has received several prestigious awards and honors throughout his academic and professional career. Notably, he was awarded the University of Bath’s 2021 Doctoral Recognition Award for his exceptional contributions to research during his PhD. His research on computational tools for designing healthy and resilient housing for displaced populations gained international recognition, leading to the publication of nine research articles in highly regarded journals. Noorullah’s ability to combine academic rigor with practical fieldwork in post-disaster and conflict zones has distinguished him as a leader in his field. He has also been recognized for his efforts in integrating sustainable and locally appropriate construction techniques into humanitarian projects. Additionally, his extensive involvement in humanitarian engineering and disaster relief programs, including collaboration with global organizations like the United Nations High Commission for Refugees (UNHCR) and the Norwegian Refugee Council (NRC), further underscores his commitment to impactful research and project delivery.

Conclusion

Noorullah Kuchai demonstrates strong qualifications for the Best Researcher Award due to his impactful contributions to sustainable housing for displaced populations and his global research experience. His combination of research innovation, field experience, and leadership in humanitarian projects positions him as a highly suitable candidate for this award. Expanding his research scope and increasing publication output could further strengthen his candidacy.

Publications Top Noted

  • Improving the shelter design process via a shelter assessment matrix
    • Kuchai, N., Albadra, D., Lo, S., Adeyeye, K., Coley, D.
    • Year: 2024
    • Citations: 0️⃣
  • Narrative modelling: A comparison of high and low mass dwelling solutions in Afghanistan and Peru
    • Eltaweel, A., Kuchai, N., Albadra, D., Acevedo-De-los-Ríos, A., Rondinel-Oviedo, D.R.
    • Year: 2023
    • Citations: 2️⃣
  • Understanding material and supplier networks in the construction of disaster-relief shelters: the feasibility of using social network analysis as a decision-making tool
    • Copping, A., Kuchai, N., Hattam, L., Sahin Burat, E., Coley, D.
    • Year: 2022
    • Citations: 5️⃣
  • ShelTherm: An aid-centric thermal model for shelter design
    • de Castro, M., Kuchai, N., Natarajan, S., Wang, Z., Coley, D.
    • Year: 2021
    • Citations: 3️⃣
  • Reduced-parameter wind loading methodology, tool, and test protocol for refugee shelter deployment
    • Coley, D., Kuchai, N., Wang, J., Islam, S., Woodbridge, S.
    • Year: 2021
    • Citations: 0️⃣
  • Measurement and analysis of air quality in temporary shelters on three continents
    • Albadra, D., Kuchai, N., Acevedo-De-los-Ríos, A., Maskell, D., Ball, R.J.
    • Year: 2020
    • Citations: 1️⃣2️⃣

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