Mehdi Mohajeri | Engineering | Best Researcher Award

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Dr. Mehdi Mohajeri | Engineering | Best Researcher Award

Ph.D. Graduate at Amirkabir Univ. of Technology (Tehran Polytechnic), Iran

Mehdi Mohajeri is a Ph.D. candidate in Construction Management and Engineering at Amirkabir University of Technology, Tehran, Iran. His research focuses on construction safety, risk assessment, and the application of advanced decision-making techniques to improve safety culture and reduce hazards in high-rise construction projects. With a strong academic foundation and multiple published works, he has contributed to the development of methodologies such as fuzzy multi-criteria decision-making (FMCDM), Bayesian networks, and fuzzy failure mode and effect analysis (FFMEA). Mehdi also serves as a Graduate Teaching Assistant, demonstrating his commitment to both research and education. His work plays a crucial role in enhancing safety practices in the construction industry, and he continues to explore new solutions to address challenges in the field.

Professional Profile

Education

Mehdi Mohajeri holds a Bachelor’s degree in Civil Engineering from Islamic Azad University Kerman Branch (2003-2007). He pursued a Master’s degree in Civil Engineering with a specialization in HSE (Health, Safety, and Environmental) Engineering at Amirkabir University of Technology, Tehran, Iran, completing it in 2013. Currently, he is working toward his Ph.D. in Construction Management and Engineering at Amirkabir University of Technology, where he has been researching under the supervision of Dr. Abdollah Ardeshir since 2016. His doctoral studies focus on improving safety measures and assessing risks in the construction industry using innovative decision-making methods, further building upon his educational background in civil engineering and safety management.

Professional Experience

Mehdi Mohajeri has been a Graduate Teaching Assistant at Amirkabir University of Technology since 2018, where he supports students in construction management courses and contributes to the academic environment. His teaching role reflects his passion for both research and knowledge sharing. In his research career, Mehdi has published multiple influential journal articles related to safety culture, risk assessment, and decision-making models in construction. He has collaborated with experts to analyze construction safety risks using methods like AHP-DEA and FFMEA. His work has been published in well-regarded journals, contributing valuable insights to the field of construction safety. Additionally, Mehdi is actively involved in preparing manuscripts for publication, exploring causality patterns in safety-related incidents and the influence of safety supervisors on construction workers’ behavior.

Research Interests

Mehdi Mohajeri’s primary research interests lie in construction safety, risk assessment, and the application of advanced decision-making models in the construction industry. He focuses on improving safety culture and reducing hazards, particularly in high-rise construction projects, using innovative approaches like fuzzy multi-criteria decision-making (FMCDM), Fuzzy Failure Mode and Effect Analysis (FFMEA), and Bayesian networks. Mehdi is also exploring causality patterns of safety-related incidents in construction, with a keen interest in understanding the influence of safety supervisors on workers’ cognitive behavior and safety performance. His work aims to enhance safety management practices and ensure the well-being of workers in high-risk construction environments, contributing to the broader field of civil engineering and construction management.

Awards and Honors

Although Mehdi Mohajeri’s CV does not list specific awards and honors, his academic and professional achievements, including multiple published journal articles in high-impact journals, reflect his excellence in research. His recognition comes through his impactful work in safety management within the construction industry. He has been involved in several prestigious projects and collaborations with experts in the field, contributing to safety advancements. Additionally, his role as a Graduate Teaching Assistant highlights his commitment to education and his recognition as a skilled and knowledgeable individual in his field. The focus of his work continues to be acknowledged by the academic and professional community, further cementing his reputation as a leading researcher in construction safety and risk management.

Publications Top Noted

  • Title: Assessment of safety culture among job positions in high-rise construction: a hybrid fuzzy multi criteria decision-making (FMCDM) approach
    Authors: A. Ardeshir, M. Mohajeri
    Year: 2018
    Cited by: 48
  • Title: Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2016
    Cited by: 34
  • Title: Discovering causality patterns of unsafe behavior leading to fall hazards on construction sites
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki, H. Malekitabar
    Year: 2022
    Cited by: 29
  • Title: Structural model of internal factors influencing the safety behavior of construction workers
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar, S. Rowlinson
    Year: 2021
    Cited by: 25
  • Title: Diagnostic intervention program based on construction workers’ internal factors for persistent reduction of unsafe behavior
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar
    Year: 2023
    Cited by: 23
  • Title: Safety risk assessment in mass housing projects using combination of Fuzzy FMEA, Fuzzy FTA and AHP-DEA
    Authors: A. Ardeshir, M. Amiri, M. Mohajeri
    Year: 2013
    Cited by: 14
  • Title: Analysis of Construction Safety Risks Using AHP-DEA Integrated Method
    Authors: M. Mohajeri, A. Ardeshir
    Year: 2016
    Cited by: 11
  • Title: Ranking main causes of falling from height hazard in high-rise construction projects
    Authors: M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 11
  • Title: Safety assessment in construction projects based on analytic hierarchy process and grey fuzzy methods
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 6
  • Title: Using association rules to investigate causality patterns of safety-related incidents in the construction industry
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki
    Year: 2022
    Cited by: 5
  • Title: Ranking occupations in high-rise construction workshops from the viewpoint of safety culture using FTOPSIS-FAHP model
    Authors: M. Amiri, M. Mohajeri
    Year: 2017
    Cited by: Not available

Tharindu Madhushanka | Engineering | Best Researcher Award

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Mr. Tharindu Madhushanka | Engineering | Best Researcher Award

Engineer at Browns Engineering and Construction, Sri Lanka

Mr. Tharindu Indunil Madhushanka is a promising researcher and civil engineering professional from the University of Moratuwa, Sri Lanka. He holds a Master of Science in Civil Engineering, with a focus on using artificial intelligence for flood forecasting, specifically in the Polonnaruwa region. His research integrates machine learning techniques such as LSTM, ANN, and Transformer models to predict water levels using meteorological and hydrological data. Tharindu has also contributed to sustainable construction through his undergraduate research on the thermal performance and embodied energy of precast panel buildings. His academic achievements include a GPA of 3.54 in Civil Engineering and notable publications, including a paper in the Journal of Hydrologic Engineering. He has gained hands-on experience in both teaching and industry, having worked as an instructor and research assistant at the University of Moratuwa and a trainee civil engineer. Tharindu is dedicated to advancing AI applications in civil engineering for disaster management and sustainability.

Professional Profile

Education

Mr. Tharindu Indunil Madhushanka has a strong educational background in civil engineering, having completed his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, where he graduated with a second-class upper division and a GPA of 3.54 out of 4.2. His undergraduate studies provided him with a solid foundation in engineering principles and practices. He further pursued a Master of Science at the same university, beginning in November 2022, with a research focus on utilizing artificial intelligence to forecast floods, particularly in the Polonnaruwa region of Sri Lanka. Under the guidance of Prof. M.T.R. Jayasinghe, his postgraduate research aims to develop machine learning models for predicting water levels using meteorological and hydrological data. This interdisciplinary approach bridges civil engineering and AI, reflecting his commitment to advancing both fields. His studies are set to culminate in July 2024, contributing valuable insights to flood risk management.

Professional Experience

Mr. Tharindu Indunil Madhushanka has gained valuable professional experience through both academic and industry roles. As a research assistant at the Department of Civil Engineering, University of Moratuwa, he contributed to various engineering modules, including Mechanics, Structural Mechanics, and the Design of Large Structures. His responsibilities included assisting in teaching and providing support for courses such as Building Construction & Materials and Design of Masonry and Timber Structures. Additionally, Tharindu worked as an instructor in the Department of Computer Science Engineering, teaching Programming Fundamentals from June to September 2024. His industry experience includes serving as a trainee civil engineer at RR Construction (Pvt) Ltd, where he was involved in significant projects such as the Mahaweli Water Security Investment Program. These projects, including the Minipe Left Bank Canal Rehabilitation and North-Western Province Canal Project, provided him with hands-on experience in large-scale civil engineering works, enhancing his practical skills.

Research Interest

Mr. Tharindu Indunil Madhushanka’s research interests lie at the intersection of civil engineering and artificial intelligence, with a focus on disaster risk management and sustainable construction. His primary research area is the use of machine learning techniques, particularly deep learning models like LSTM, ANN, and Transformer, to forecast floods and predict water levels in flood-prone regions, such as Polonnaruwa, Sri Lanka. By utilizing meteorological and hydrological data, Tharindu aims to enhance flood prediction systems, providing valuable insights for mitigating the impacts of natural disasters. Additionally, he is interested in sustainable building practices, as demonstrated by his undergraduate research on the thermal performance and embodied energy of precast panel buildings. Tharindu’s work seeks to improve the environmental efficiency of construction materials and methods, making buildings more energy-efficient over their life cycles. His research reflects his commitment to advancing both AI applications and sustainability within the civil engineering field.

Award and Honor

Mr. Tharindu Indunil Madhushanka has achieved notable academic recognition throughout his educational journey. He graduated with a second-class upper division in his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, with a commendable GPA of 3.54 out of 4.2. This achievement underscores his strong academic performance and dedication to his studies. Tharindu has also earned recognition for his research contributions, particularly in the field of flood forecasting using artificial intelligence. His publication, “Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning,” in the Journal of Hydrologic Engineering, demonstrates the impact of his work on flood management. Although his H-index is currently 1, it reflects his emerging influence in the research community. Tharindu’s research on sustainable building practices, including the thermal performance of precast panel buildings, has been presented at international conferences, further highlighting his growing recognition within the civil engineering and AI research communities.

Conclusion

Tharindu Indunil Madhushanka demonstrates a strong foundation in innovative, interdisciplinary research, particularly in leveraging artificial intelligence for flood forecasting and sustainable building practices. His academic achievements, technical expertise, and impactful research in disaster management are highly commendable.

Publications Top Noted

  • Title: Multi Day Ahead Flood Prediction in South Asian Tropical Zone Using Deep Learning
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: 1
  • Title: Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Journal: Journal of Hydrologic Engineering 30 (1), 04024054
    Year: 2025
    Cited by: Not available
  • Title: Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Year: 2024
    Cited by: Not available
  • Title: Transformer & LSTM Based Models for Multi-Day Ahead Flood Prediction in Tropical Climates
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4746297
  • Title: Flood Prediction for Tropical Climates Using LSTM and Transformer Machine Learning Models
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4736261
  • Title: LONG SHORT-TERM MEMORY (LSTM) & FEEDFORWARD ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD PREDICTION
    Authors: G.W.T.I. Madhushanka, M.T.R. Jayasinghe, R.A. Rajapakse
    Event: Proceedings of the 14th International Conference on Sustainable Built …
    Year: 2023
    Cited by: Not available
  • Title: Thermal Performance of Precast Panel Buildings
    Authors: G Madhushanka, SS Bandaranayaka, MTR Jayasinghe, H Herath
    Event: University of Ruhuna
    Year: 2023
    Cited by: Not available

Xu Zhang | Engineering Award | Best Scholar Award

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Dr. Xu Zhang | Engineering Award | Best Scholar Award

Associate professor at Hubei University of Technology, China

Xu Zhang is a distinguished scholar specializing in intelligent non-destructive testing (NDT) technologies. With a solid academic foundation in Acoustics, her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence in NDT systems. Zhang has been the principal investigator on several prestigious projects, including National Natural Science Foundation of China and National Key Research and Development Plan projects. She has made significant contributions to the fields of electromagnetic acoustic transducers (EMATs), guided wave detection methods, and corrosion imaging. Her research is not only innovative but also highly relevant to critical industries such as aerospace, automotive, and infrastructure.

Professional Profile

Education

Xu Zhang’s academic journey began with a Bachelor’s degree in Acoustics from Nanjing University in 2010. She furthered her education with a Master’s and PhD in Acoustics from the prestigious Chinese Academy of Sciences, where she honed her research focus on non-destructive testing technologies. In 2016, she became an Associate Professor in the Department of Mechanical Engineering at Hubei University of Technology. Xu is currently a Visiting Fellow at the University of Bristol, where she collaborates with global experts on advanced NDT methods. Her academic background has equipped her with a deep understanding of the complexities in material testing, structural health monitoring, and the application of electromagnetic and ultrasonic technologies in engineering.

Experience

Xu Zhang has extensive experience in the field of non-destructive testing and advanced materials inspection. Since 2016, she has served as an Associate Professor at Hubei University of Technology, specializing in intelligent NDT technologies. Zhang has been the Principal Investigator (PI) in numerous high-profile national and provincial projects, focusing on ultrasonic and electromagnetic testing techniques for stress corrosion cracking and high-temperature creep materials. Notable projects she has led include the development of an ultrasonic phased array detection system for automotive steering parts and the creation of technology for pipeline corrosion imaging. Her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence into NDT systems. Zhang is also a Senior Member of the Chinese Mechanical Engineering Society and an active participant in global research discussions on intelligent testing methodologies.

Research Focus

Xu Zhang’s research is primarily focused on intelligent non-destructive testing (NDT) technologies, with a specific emphasis on ultrasonic and electromagnetic guided wave techniques. She is dedicated to the development of advanced sensor systems and diagnostic tools that can detect flaws and assess material integrity in complex engineering structures. One of her key areas of research is the integration of artificial intelligence into NDT methodologies, enabling more efficient and accurate defect detection. Zhang’s work has applications in diverse industries, including automotive, aerospace, and infrastructure, particularly in stress corrosion cracking detection, high-temperature material assessment, and pipeline monitoring. Additionally, her research explores the enhancement of testing systems with electromagnetic transducers and phased array technologies, which improve detection sensitivity and system reliability. Her contributions to NDT technology continue to shape the future of materials testing and structural health monitoring.

Awards and Honors

Xu Zhang has been recognized for her pioneering work in non-destructive testing, particularly in the application of electromagnetic and ultrasonic guided wave technologies. As a Principal Investigator (PI), she has secured several prestigious grants and awards, including the National Key Research and Development Plan Project and the National Natural Science Foundation of China Project. Her research on stress corrosion cracking detection, material assessment, and corrosion imaging has earned her numerous accolades. Zhang has also been honored with key research project leadership positions from the Provincial Science and Technology Department, reflecting her influence in advancing the state of engineering diagnostics. She continues to contribute to the scientific community, and her work in non-destructive testing systems is frequently recognized for its practical applications in the fields of materials science and engineering.

Conclusion

Xu Zhang is a leading figure in the field of intelligent non-destructive testing, with an impressive array of research accomplishments and leadership in cutting-edge projects. Her scholarly work in the development of advanced testing systems and her commitment to pushing the boundaries of engineering innovation make her an outstanding candidate for the Best Scholar Award. With a strong foundation in both academic research and practical applications, Zhang’s continued contributions to the field hold the promise of significant advancements in industrial safety and technology.

Publications Top Noted

A novel amplitude enhancement method of EMAT for High-frequency Rayleigh-like waves in Circumferential propagation

Authors: Zhang, X., Li, B., Niu, X., Song, X., Wu, Q.

Citations: 0

Year: 2024

Journal: NDT and E International, 148, 103231

Investigation of an Active Focusing Planar Piezoelectric Ultrasonic Transducer

Authors: Wu, Q., You, B., Zhang, X., Tu, J.

Citations: 0

Year: 2024

Journal: Sensors, 24(13), 4082

Characterization of Small Delamination Defects by Multilayer Flexible EMAT

Authors: Chen, T., Liu, S., Lv, C., Wu, Q., Zhang, X.

Citations: 1

Year: 2024

Journal: IEEE Sensors Journal, 24(12), pp. 19210–19219

Unidirectional focusing Rayleigh waves EMAT for plate surface defect Inspection

Authors: Chen, T., Lou, T., Lv, C., Wu, Q., Zhang, X.

Citations: 0

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Design and experimental study of electromagnetic ultrasonic single-mode guided wave transducer for small-diameter stainless steel tubes

Authors: Tu, J., Zhan, X., Sun, H., Zhang, X., Song, X.

Citations: 3

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Internal and External Pipe Defect Characterization via High-Frequency Lamb Waves Generated by Unidirectional EMAT

Authors: Zhang, X., Li, B., Zhang, X., Yuan, J., Wu, Q.

Citations: 3

Year: 2023

Journal: Sensors (Basel, Switzerland), 23(21)

Bolt Axial Stress Measurement Based on the Dual-Mode Electromagnetic Acoustic Transducer

Authors: Zhang, X., Li, W., Wu, Q., Cai, C., Song, X.

Citations: 2

Year: 2023

Journal: IEEE Sensors Journal, 23(13), pp. 13978–13986

Energy Transfer Efficiency Based Nonlinear Ultrasonic Testing Technique for Debonding Defects of Aluminum Alloy Foam Sandwich Panels

Authors: Tu, J., Yao, N., Ling, Y., Zhang, X., Song, X.

Citations: 0

Year: 2023

Journal: Sensors, 23(6), 3008

Optimized Design of Torsional Guided Wave Magnetostrictive Patch Transducer Based on Reversed Wiedemann Effect

Authors: Li, C., Yang, R., Gu, J., Wang, S., Zhang, X.

Citations: 5

Year: 2023

Journal: Journal of Nondestructive Evaluation, 42(1), 26

Enhancing the Lift-Off Performance of EMATs by Applying an Fe3O4 Coating to a Test Specimen

Authors: Liang, B., Li, Z., Zhai, G., Zhang, X., Dixon, S.

Citations: 5

Year: 2023

Journal: IEEE Transactions on Instrumentation and Measurement, 72, 9502104

 

 

 

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