Asmaa M. Hassan | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Asmaa M. Hassan | Engineering | Best Researcher Award

Port Said University Faculty of Engineering | Egypt

Dr. Asmaa Mohammed Hassan is an accomplished Associate Professor and Head of the Department of Architectural Engineering at Buraydah Colleges, Saudi Arabia, with over years of academic and research experience. Her scholarly contributions span urban morphology, passive design strategies, and sustainable architectural development. She has authored over 23 research documents published in prestigious Q1 journals, including Building and Environment, Energy and Buildings, and Renewable and Sustainable Energy Reviews. Dr. Hassan holds an impressive Scopus h-index of 11 with 395 citations, reflecting the high impact and recognition of her research. Her academic excellence has been acknowledged through multiple honors, including “Scientific Distinction” and recognition as a distinguished researcher for international publishing in Q1 journals. Beyond publications, she actively contributes as a peer reviewer for more than 27 international journals and has participated in interdisciplinary research projects promoting urban governance and sustainability. Her dedication to advancing architectural education and her leadership in integrating technology and sustainability into design underscore her influence in shaping resilient and sustainable urban environments globally.

Profile: Scopus | Orcid

Featured Publications

Adel, R., Megahed, N., Hassan, A. M. M., & Shahda, M. (2023). Evolution of the courtyard to the skycourt: A bibliometric analysis of research trends. International Journal of Building Pathology and Adaptation. Advance online publication.

 

William Jones | Engineering | Best Researcher Award

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Prof. Dr. William Jones | Engineering | Best Researcher Award

Prof. Dr. William Jones, Imperial, London, United Kingdom.

🔬 Professor William Philip JONES is a distinguished Professor of Combustion in the Mechanical Engineering Department with expertise in turbulent combustion and two-phase flows. With a Ph.D. from Imperial College (1971), he has held prestigious roles, including Deputy Head of Thermofluids Division. A Fellow of The Combustion Institute, he has received numerous accolades, including the Alfred C. Edgerton Gold Medal (2020). His contributions to mathematical modeling in combustion science have shaped modern engineering, making him a highly deserving candidate for the Best Researcher Award. 🚀

Professional Profile

🎓 Early Academic Pursuits

Professor William Philip Jones embarked on his academic journey with exceptional achievements in mechanical engineering. He earned his B.Sc. (1st Class Hons) in Mechanical Engineering from University College, Cardiff (1966), followed by an M.Sc. and D.I.C. in Thermal Power and Process Engineering from Imperial College (1967). His passion for fluid mechanics and thermodynamics led him to pursue a Ph.D. in Mechanical Engineering at Imperial College (1971), where he laid the groundwork for his distinguished career in combustion research.

💼 Professional Endeavors

Professor Jones’ professional career is marked by significant roles in academia and industry. He began as a Research Assistant at Imperial College (1970-1971) before undertaking a Humboldt Research Fellowship at Technische Hochschule Aachen (1972-1973). His industrial expertise was honed at Rolls-Royce Ltd., where he served as Section Leader for Combustion Research (1973-1977). Transitioning back to academia, he joined Imperial College as a Lecturer in 1977, progressing to Reader (1986-1994) and later serving as Professor of Combustion in the Mechanical Engineering and Chemical Engineering departments (1994-present). His leadership extended to the Deputy Head of the Thermofluids Division (2013-).

🔬 Contributions and Research Focus On Engineering 

Professor Jones is a pioneer in turbulent combustion modeling, large eddy simulation (LES), and multiphase flow analysis. His research has advanced understanding in gas turbine combustion, turbulence-chemistry interaction, and predictive modeling techniques for combustion systems. His contributions to stochastic field methods and PDF-based modeling have significantly influenced industrial and academic approaches to combustion science.

🌍 Impact and Influence

Throughout his career, Professor Jones has mentored numerous doctoral candidates and postdoctoral researchers, shaping the next generation of combustion scientists. His work has influenced energy efficiency advancements in aerospace and power generation. He has also served as Chair of the British Section of The Combustion Institute (2011-2017), fostering international collaboration in combustion research.

📚 Academic Citations

Professor Jones’ research is widely cited in leading engineering and physics journals. His extensive publication record includes pioneering studies on turbulent flows, combustion kinetics, and computational fluid dynamics (CFD). His collaborations with international researchers have reinforced his reputation as a key contributor to the global combustion research community.

🏅 Awards and Honors 

Professor Jones has received numerous prestigious awards recognizing his groundbreaking contributions, including:

  • Alfred C. Edgerton Gold Medal (2020) – For distinguished contributions to combustion science.
  • Fellow, The Combustion Institute (2018) – Honoring his research in turbulent combustion modeling.
  • Distinguished Paper Award (2015) – For exceptional work on spray and droplet combustion.
  • Sugden Award (2008) – Recognizing significant contributions to combustion research.
  • Armstrong Medal and Prize, Imperial College (1972) – For academic excellence.
  • Norman Parry Award, Rolls-Royce Ltd. (1962) – For early contributions to engineering.

🚀 Legacy and Future Contributions

As a leading figure in combustion science, Professor Jones continues to shape the field through ongoing research, invited lectures, and industrial collaborations. His expertise in large eddy simulations, turbulence modeling, and computational approaches ensures that his work remains at the forefront of advancements in energy efficiency and sustainable combustion technologies.

Publications Top Notes

📘 The Prediction of Laminarization with a Two-Equation Model of Turbulence
📅 1972 | 📑 6,371 citations

📘 The Calculation of Low-Reynolds-Number Phenomena with a Two-Equation Model of Turbulence
📅 1973 | 📑 1,515 citations

🔥 Global Reaction Schemes for Hydrocarbon Combustion
📅 1988 | 📑 1,443 citations

🖤 A Simplified Reaction Mechanism for Soot Formation in Nonpremixed Flames
📅 1991 | 📑 877 citations

📚 Calculation Methods for Reacting Turbulent Flows: A Review
📅 1982 | 📑 760 citations

📘 Closure of the Reynolds Stress and Scalar Flux Equations
📅 1988 | 📑 341 citations

💨 Large Eddy Simulation of a Turbulent Non-Premixed Flame
📅 2001 | 📑 317 citations

💥 Large Eddy Simulation of a Model Gas Turbine Combustor
📅 2004 | 📑 277 citations

🔥 Predictions of Radiative Transfer from a Turbulent Reacting Jet in a Cross-Wind
📅 1992 | 📑 275 citations

⚡ Large Eddy Simulation of Autoignition with a Subgrid Probability Density Function Method
📅 2007 | 📑 248 citations

🔥 Large Eddy Simulation of the Sandia Flame Series (D–F) using the Eulerian Stochastic Field Method
📅 2010 | 📑 246 citations

📘 Models for Turbulent Flows with Variable Density and Combustion
📅 1979 | 📑 218 citations

💨 Large-Eddy Simulation of Particle-Laden Turbulent Flows
📅 2008 | 📑 193 citations

📚 Some Properties of Sink-Flow Turbulent Boundary Layers
📅 1972 | 📑 185 citations

⚡ Synthetic Turbulence Inflow Conditions for Large-Eddy Simulation
📅 2006 | 📑 183 citations

🔥 A Probability Density Function Eulerian Monte Carlo Field Method for Large Eddy Simulations
📅 2006 | 📑 179 citations

💥 Large-Eddy Simulation of Spray Combustion in a Gas Turbine Combustor
📅 2014 | 📑 176 citations

📘 Turbulence Modelling and Numerical Solution Methods for Variable Density and Combusting Flows
📅 1994 | 📑 176 citations

🚀 NO and CO Formation in an Industrial Gas-Turbine Combustion Chamber using LES
📅 2014 | 📑 171 citations

🌪 A Numerical Study on the Eddy Structures of Impinging Jets Excited at the Inlet
📅 2003 | 📑 154 citations

🔥 Calculation of Confined Swirling Flows with a Second Moment Closure
📅 1989 | 📑 132 citations

💨 Large-Eddy Simulation of a Plane Jet in a Cross-Flow
📅 1996 | 📑 131 citations

🚀 LES of a Turbulent Premixed Swirl Burner using the Eulerian Stochastic Field Method
📅 2012 | 📑 125 citations

🔥 Predictions of Soot Formation in Turbulent, Non-Premixed Propane Flames
📅 1992 | 📑 120 citations

⚡ Rate-Controlled Constrained Equilibrium: Formulation and Application to Nonpremixed Laminar Flames
📅 2005 | 📑 110 citations

🔥 Large Eddy Simulation of Spark Ignition in a Gas Turbine Combustor
📅 2010 | 📑 108 citations

📘 Large Eddy Simulation of an Industrial Gas-Turbine Combustion Chamber using the Sub-Grid PDF Method
📅 2013 | 📑 104 citations

🔥 Large Eddy Simulation of Hydrogen Auto-Ignition with a Probability Density Function Method
📅 2007 | 📑 104 citations

📑 PDF Modeling of Finite-Rate Chemistry Effects in Turbulent Nonpremixed Jet Flames
📅 1998 | 📑 101 citations

🔥 Numerical Investigation of Swirling Kerosene Spray Flames using Large Eddy Simulation
📅 2014 | 📑 99 citations

 

 

Muhammad Saleh Urf Kumail Haider | Engineering | Best Researcher Award

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Mr. Muhammad Saleh Urf Kumail Haider | Engineering | Best Researcher Award

Mr. Muhammad Saleh Urf Kumail Haider, Chongqing University, Pakistan.

Haider Muhammad Saleh Kumail is a highly accomplished researcher currently pursuing a Master’s in Electronic Information Engineering at Chongqing University, China. With a B.S. in Electronic Engineering from the University of Sindh, Pakistan, Kumail has contributed significantly to the development of optical fiber sensors and AI-based sensing systems. His work has led to publications in top-tier journals and earned him prestigious awards, including the CSC Fully Funded Master’s Scholarship and the Best Research Award for his work on graphene-based smart gas sensors.

Profile

🎓 Early Academic Pursuits

Haider Muhammad Saleh Kumail began his academic journey at the University of Sindh, Jamshoro, Pakistan, where he completed his B.S. in Electronic Engineering with a GPA of 3.05/4.00 in December 2021. His solid foundation in Electronic Engineering led him to pursue a M.Eng. in Electronic Information Engineering at Chongqing University, China, where he is currently enrolled, maintaining a strong academic performance with a percentage of 82.9%.

💼 Professional Endeavors

Haider’s professional journey has been marked by key roles in research projects related to advanced sensing technologies. He has worked at Chongqing University since January 2023 in the School of Microelectronics and Communication Engineering, contributing to the Lab of Intelligent LiFi and focusing on Optical Fiber Sensors. Previously, from February 2019 to December 2021, he collaborated with the National Centre of Excellence in Analytical Chemistry, University of Sindh, working on Graphene/Silicon Sensors.

🔬 Contributions and Research Focus On Engineering 

Haider’s research primarily revolves around optical fiber sensors, AI-based sensing systems, and multiparameter sensing systems. His groundbreaking work includes the development of portable and smartphone-driven sensors for applications in liquid level sensing, refractive index sensing, and humidity measurement. His most recent research, “Simultaneous Measurement of Liquid Level and R.I. Sensor Using POF Based on Twisted Structure,” published in Scientific Reports (Jan. 2025), demonstrates his innovation in fiber-optic sensor technology.

🌍 Impact and Influence

Haider’s contributions have significantly impacted the field of sensor technology, particularly in the areas of portable and multiparameter sensing systems. His work has led to advancements in optical fiber sensor design, improving precision and efficiency in fields such as environmental monitoring, industry, and healthcare. His research continues to influence academic peers and pave the way for future innovations.

🏆 Awards and Recognitions

Haider has received numerous accolades, including:

  • CSC Fully Funded Master’s Scholarship Award (Sep. 2022 – Jul. 2025)
  • Best Research Award for his work on Graphene-Based Smart Gas Sensors (Mar. 2022)
  • 1st Position in the Smart Electric Military Vehicle Project (Dec. 2019)

His recognition in the academic and research communities speaks volumes about his dedication and excellence.

💪 Legacy and Future Contributions

As Haider progresses in his career, his contributions to the optical sensor technology field are expected to leave a lasting legacy, particularly with his focus on smartphone-driven and AI-based sensor systems. In the future, Haider aims to push the boundaries of sensing technology, making it more affordable, efficient, and accessible across various industries.

Publications Top Notes

  • Smartphone-Based Optical Fiber Sensor for Refractive Index Sensing Using POF

    • Publication: Sensors and Actuators A: Physical, 116321 (2025)
    • Authors: MSUK Haider, C Chen, A Ghaffar, LU Noor, M Liu, S Hussain, B Arman, …
    • Year: 2025
    • 📱🔬

  • Simultaneous Measurement of Liquid Level and RI Sensor Using POF Based on Twisted Structure

    • Publication: Scientific Reports, 15 (1), 1163 (2025)
    • Authors: MSUK Haider, C Chen, A Ghaffar, S Hussain, M Mehdi, LU Noor, …
    • Year: 2025
    • 💧🔄

  • Portable Optical Fiber Sensor for Continuous Liquid Level Sensing Using Commercially Available POF

    • Publication: IEEE Sensors Journal (Accepted for publication)
    • Authors: MSUK Haider, C Chen, A Ghaffar, HM Alshehri, LU Noor, M Liu, …
    • Year: 2025
    • 🚀💡

Mostafa Fathalian | Engineering | Best Researcher Award

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Mr. Mostafa Fathalian | Engineering | Best Researcher Award

Mr. Mostafa Fathalian, Institute of Fundamental Technological Research POLISH ACADEMY OF SCIENCES, Poland.

Mostafa Fathalian is a skilled mechanical engineer and researcher specializing in materials science. He has made significant contributions through his research on the mechanical and electronic properties of advanced materials, utilizing density functional theory (DFT) and molecular dynamics. Fathalian’s work, published in high-impact journals, explores materials like Al2O3, SiC interfaces, and carbon fiber/polycarbonate laminates. With a strong background in mechanical engineering, he has participated in numerous international workshops and conferences. His technical skills are complemented by certifications in AutoCAD, CATIA, and other specialized training, showcasing his dedication to continual learning and innovation in his field.

Professional Profile

🌟 Suitability for Best Researcher Award

Mostafa Fathalian is highly qualified for the Best Researcher Award due to his outstanding contributions in mechanical engineering and materials science. His research focuses on using advanced computational methods, including Density Functional Theory (DFT) and Molecular Dynamics, to analyze and enhance the mechanical and electronic properties of materials such as Al2O3, SiC, and carbon composites. With several high-impact publications in renowned journals like Molecules and Fibers and Polymers, his work is instrumental in understanding material behaviors at the atomic level. Additionally, his expertise is complemented by active participation in workshops, including those on high-performance computing and machine learning, as well as conference presentations where he shares his insights with the global scientific community.

🎓 Education

Mostafa Fathalian holds a robust academic background, with a focus on mechanical engineering and materials science. He obtained his engineering education in Iran, where he built a strong foundation in technical disciplines. His commitment to advancing his expertise led him to participate in various specialized training programs and workshops throughout his career. In addition to his formal education, Fathalian continually seeks opportunities for professional development, attending renowned international courses such as the Fortran for Scientific Computing and Machine Learning workshops. His academic pursuits have significantly enhanced his research capabilities in the fields of materials science and mechanical engineering.

🔬Research Contributions On Engineering 

Mostafa Fathalian’s research contributions primarily focus on the mechanical and electronic properties of advanced materials using density functional theory (DFT) and molecular dynamics. His work includes groundbreaking studies on the behavior of Al2O3, SiC interfaces, and carbon fiber/polycarbonate laminates, providing insights into their mechanical strength and performance under various conditions. Fathalian has also explored the effects of nanosilica on material properties and the impact of defects in zinc-oxide graphene-like structures. His contributions have advanced the understanding of nanostructures and their applications in engineering, paving the way for the development of novel materials for various industrial applications.

💼Professional Experience

Mostafa Fathalian has a rich background in mechanical engineering, having worked in various capacities that showcase his problem-solving and technical skills. From 2010 to 2011, he served as a Mechanical Engineer at Sanat Gomes Company, where he specialized in troubleshooting, repairing, and maintaining hydraulic systems to ensure their optimal performance. He also managed mechanical issues, worked closely with rig crews, and collaborated with other departments to resolve technical challenges. Additionally, Fathalian’s expertise includes acquiring spare parts and promoting a safety culture through active involvement in safety meetings and drills, contributing to efficient and safe operations.

🏅Awards and Recognition

Mostafa Fathalian has received significant recognition for his contributions to the fields of mechanical engineering and materials science. His research has led to impactful publications in high-profile journals, addressing critical aspects of mechanical and electronic properties of advanced materials. Fathalian’s active participation in international conferences, such as the KSME Annual Meeting and KUKDM, highlights his global influence in the scientific community. He has also earned several technical certifications and patents, further showcasing his expertise and innovation. His work continues to inspire and advance the understanding of complex materials, establishing him as a distinguished researcher in his field.

Conclusion

Mostafa Fathalian’s outstanding research contributions, technical expertise, and active involvement in international workshops and conferences make him a strong contender for the Best Researcher Award. His work in materials science, particularly through the application of density functional theory and molecular dynamics, has provided critical insights that continue to shape advancements in nanotechnology and engineering, positioning him as an exemplary researcher.

📚Publication Top Notes

DFT study of Ni, Cu, Cd and Ag heavy metal atom adsorption onto the surface of the zinc-oxide nanotube and zinc-oxide graphene-like structure

📅 Year: 2018 | 📚 Citations: 92
📝 Materials Chemistry and Physics 220, 366-373

Effect of various defects on mechanical and electronic properties of zinc-oxide graphene-like structure: A DFT study

📅 Year: 2019 | 📚 Citations: 75
📝 Vacuum 165, 26-34

Theoretical studies on the mechanical and electronic properties of 2D and 3D structures of beryllium-oxide graphene and graphene nanobud

📅 Year: 2019 | 📚 Citations: 57
📝 Applied Surface Science 476, 36-48

Density functional theory study of adsorption properties of non-carbon, carbon, and functionalized graphene surfaces towards the zinc and lead atoms

📅 Year: 2018 | 📚 Citations: 48
📝 Physica E: Low-dimensional Systems and Nanostructures 104, 275-285

Effect of nanosilica on the mechanical and thermal properties of carbon fiber/polycarbonate laminates

📅 Year: 2019 | 📚 Citations: 11
📝 Fibers and Polymers 20, 1684-1689

Mechanical and electronic properties of Al (111)/6H-SiC interfaces: A DFT study

📅 Year: 2023 | 📚 Citations: 9
📝 Molecules 28 (11), 4345

A Comprehensive Study of Al2O3 Mechanical Behavior Using Density Functional Theory and Molecular Dynamics

📅 Year: 2024 | 📚 Citations: 4
📝 Molecules 29 (5), 1165

Effect of Diffusion on the Ultimate Axial Load of Complex-Shaped Al-SiC Samples: A Molecular Dynamics Study

📅 Year: 2024
📝 Molecules 29 (14), 3343

Investigating the Mechanical Characteristics of Al2O3 through Density Functional Theory and Molecular Dynamics

📅 Year: 2024
📝 The sixteenth Conference of Users of Big Power Computers (KU KDM2024)

Crack Development in Al2O3: A DFT Study

📅 Year: 2023
📝 대한기계학회 춘추학술대회, 20-20

Analysis of Mechanical and Electronic Properties of Al-SiC Interfaces: Ab Initio Method

📅 Year: 2023
📝 2nd International Conference on Applied Physics and Engineering (ICAPE)

Atomistic Insights into Tensile Damage of Functionally Graded Al-Sic Composites

📝 Available at SSRN 4963141

 

Ramana Raja Buddala | Engineering | Excellence in Research Award

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Dr. Ramana Raja Buddala | Engineering | Excellence in Research Award

Dr. Ramana Raja Buddala, IIT Bombay, India.

Dr. Ramana Raja Buddala is a Ph.D. candidate at IIT Bombay, specializing in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His research focuses on damage detection in composite honeycomb sandwich structures using ultrasonic guided waves. With a background in Structural Engineering (M.Tech from IIT Kharagpur), his work integrates AI and ML applications in SHM. Dr. Buddala has published extensively in leading journals such as Scientific Reports and Smart Materials and Structures. His expertise in signal processing, AI, and mentoring students demonstrates his significant contributions to the field of structural engineering and his commitment to academic excellence.

👨‍🏫Professional Profile:

🌟Suitability for Best Researcher Award

Dr. Ramana Raja Buddala is an exceptional candidate for the Excellence in Research Award, possessing a strong academic foundation and a diverse range of research interests, particularly in Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE). His doctoral work at IIT Bombay, focused on damage detection in honeycomb composite sandwich structures using ultrasonic guided wave propagation, highlights his innovative approach and advanced technical expertise. With over five publications in reputable journals and conference proceedings, Dr. Buddala has made significant contributions to the field, including the integration of AI and ML techniques in SHM applications. He is well-versed in advanced signal processing, ultrasonic testing, and finite element modeling, alongside proficiency in programming languages like MATLAB and Python. Dr. Buddala has demonstrated mentoring capabilities and has also contributed to academia through teaching roles at various institutes.

🎓 Educational Background:

Dr. Ramana Raja Buddala completed his Ph.D. at IIT Bombay (2019–2024), where his research focused on the damage detection and assessment of honeycomb composite sandwich structures using ultrasonic guided wave propagation. Prior to his doctoral studies, he earned an M.Tech in Structural Engineering from IIT Kharagpur (2006–2011), where he worked on improving the delamination resistance capacity of sandwich composite columns. Dr. Buddala also completed his B.Tech in Civil Engineering from IIT Kharagpur through a dual-degree program, gaining a solid foundation in engineering principles that supported his subsequent research and academic career.

💼 Professional Experience:

Dr. Ramana Raja Buddala has extensive teaching and industrial experience. As a Teaching Assistant at IIT Bombay from 2019 to 2024, he contributed to courses such as Non-Destructive Testing of Materials and Structural Mechanics. Previously, he taught at NIT-AP and ANITS, covering subjects like Concrete Technology and Structural Analysis. In industry, Dr. Buddala worked as a Structural Engineer at NMDC and United Gulf Construction Consortium, where he gained hands-on experience in large-scale projects like an 8-lane expressway and a 1.2 MTPA pellet plant. His diverse background bridges academic excellence and practical engineering applications.

🌍Research Contributions On Engineering 

Dr. Buddala’s work on the non-destructive evaluation of composite materials, including his contributions to the development of unsupervised deep learning frameworks for temperature-compensated damage assessment, highlights his innovative approach to SHM. His pioneering research on the interaction between ultrasonic-guided waves and structural damage has advanced the understanding of damage detection techniques, which are crucial for industries relying on composite and metallic structures. With multiple publications in top-tier journals, including Scientific Reports and Smart Materials and Structures, his contributions have established him as a thought leader in his field.

💡Recognition and Impact:

Dr. Ramana Raja Buddala has made significant contributions to the field of Structural Health Monitoring (SHM) and Non-Destructive Evaluation (NDE), earning recognition for his innovative research on damage detection in composite structures using ultrasonic guided waves. His work has been published in prestigious journals, such as Scientific Reports and Smart Materials and Structures, highlighting the impact of his findings on both academia and industry. Dr. Buddala’s application of AI and ML in SHM has opened new avenues for advanced structural assessments. His mentorship and technical expertise have influenced numerous students, enhancing the broader engineering community’s research capabilities.

Conclusion:

Dr. Ramana Raja Buddala’s impressive blend of academic achievements, impactful research, hands-on experience with cutting-edge technologies, and dedication to mentorship underscores his eligibility for the Excellence in Research Award. His continued contributions to the fields of structural engineering and health monitoring through innovative methodologies make him a deserving candidate for this prestigious recognition.

 

📚Publication Top Notes

Multi-stage guided wave technique for estimating the shape and size of multiple damages in honeycomb sandwich structures

Journal: Measurement

DOI: 10.1016/j.measurement.2025.116724

Year: 2025 📅

Contributors: Ramana Raja Buddala, Rohan Soman, Siddharth Tallur, Sauvik Banerjee

The effect of temperature on guided wave signal characteristics in presence of disbond and delamination for health monitoring of a honeycomb composite sandwich structure with built-in PZT network

Journal: Smart Materials and Structures

DOI: 10.1088/1361-665X/ace40b

Year: 2023 📅

Contributors: Ramana Raja B, Sheetal Patil, Pankhi Kashyap, Siddharth Tallur, Sauvik Banerjee

 

 

 

Dong-Bin Kwak | Engineering | Best Researcher Award

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Assist. Prof. Dr Dong-Bin Kwak | Engineering | Best Researcher Award

Assist. Prof. Dr Dong-Bin Kwak, Seoul National University of Science and Technology, South Korea

Dr. Dong-Bin Kwak is an accomplished researcher and Assistant Professor at Seoul National University of Science and Technology, specializing in aerosol science, filtration systems, and fluid dynamics. He earned his Ph.D. in Mechanical Engineering from the University of Minnesota and a Bachelor of Science (summa cum laude) from Hanyang University. His expertise spans nanoparticle engineering, air and liquid contamination control, heat transfer, and gas-to-particle conversion. With significant industry experience at Onto Innovation and collaborations with Samsung Electronics and LG, he has advanced technologies in filtration and particle measurement. Recognized through prestigious awards, he continues to drive impactful innovations in his field.

Author Profile:

Summary of Suitability for Best Researcher Award

🎓 Education:

Dr. Dong-Bin Kwak holds a Ph.D. in Mechanical Engineering from the University of Minnesota, Twin Cities, where he conducted extensive research on aerosol science, contamination control, and filtration systems. Prior to this, he earned a Bachelor of Science degree in Mechanical Engineering with summa cum laude honors from Hanyang University, Seoul, Korea. Throughout his academic journey, Dong-Bin consistently demonstrated exceptional performance, receiving numerous scholarships and awards, including the National Engineering Fully Funded Scholarship. His education provided a solid foundation in fluid dynamics, heat transfer, and nanoparticle engineering, enabling him to excel in both academic research and industry applications.

💼 Professional Experience:

Dr. Dong-Bin Kwak has extensive professional experience in both academia and industry. Currently, he serves as an Assistant Professor at Seoul National University of Science and Technology, leading projects in nanoparticle engineering, air filtration, and slurry filtration systems. Previously, he worked as an Applications Scientist at Onto Innovation, where he developed next-generation automated optical inspection systems for semiconductor manufacturing. During his Ph.D. at the University of Minnesota, he contributed significantly to contamination control, filtration efficiency, and aerosol science research. His expertise includes experimental and numerical methods, advanced filtration technologies, and fluid dynamics, showcasing his ability to bridge research and practical applications.

🌍Research Contributions:

Dr. Dong-Bin Kwak has made significant contributions to aerosol science, nanoparticle engineering, and filtration technologies. His research encompasses developing advanced air and liquid filtration systems, optimizing heat transfer processes, and improving contamination control methods. Notable achievements include the development of real-time size-resolved filtration efficiency measurement systems, hydrosol calibration methods, and numerical optimization codes for radial heat sinks. His work with industry leaders like Samsung Electronics and LG has advanced particle characterization and slurry filtration technologies. By combining experimental methods with numerical simulations, his research addresses critical challenges in semiconductor manufacturing, environmental protection, and filtration performance, driving innovation across multiple fields.

🥇Award and Honors:

Dr. Dong-Bin Kwak has made significant research contributions in aerosol science, filtration systems, and fluid dynamics, advancing both theoretical and applied aspects of these fields. His work includes developing high-precision nanoparticle measurement systems, optimizing air and liquid filtration efficiency, and innovating gas-to-particle conversion techniques. At the University of Minnesota, he contributed to contamination control, electrospun nanofiber filtration, and airborne molecular contamination detection. Currently, as Principal Investigator at SeoulTech, he leads projects on slurry filtration, real-time air filtration evaluation, and AI-driven heat sink optimization. His research impacts industries ranging from semiconductors to environmental engineering, reflecting his innovative and multidisciplinary approach.

Conclusion:

Dr. Dong-Bin Kwak is a highly accomplished researcher whose work has significantly advanced the fields of aerosol science, filtration, and fluid dynamics. His innovative contributions to nanoparticle engineering and air filtration systems have led to breakthroughs in contamination control and particle measurement. With a strong academic background, including a Ph.D. from the University of Minnesota, and industry experience with leading companies like Samsung Electronics and LG, he has garnered widespread recognition through prestigious awards. His exceptional research, leadership, and dedication to scientific innovation make him a deserving candidate for the Best Researcher Award.

📚Publication Top Notes:

Nanofiber filter performance improvement: nanofiber layer uniformity and branched nanofiber

Journal: Aerosol and Air Quality Research

Citations: 36 📄

Year: 2020 🗓️

Inverse heat conduction modeling to predict heat flux in a hollow cylindrical tube having irregular cross-sections

Journal: Applied Thermal Engineering

Citations: 31 📄

Year: 2018 🗓️

Cooling performance of a radial heat sink with triangular fins on a circular base at various installation angles

Journal: International Journal of Thermal Sciences

Citations: 23 📄

Year: 2017 🗓️

Numerical investigation of nanoparticle deposition location and pattern on a sharp-bent tube wall

Journal: International Journal of Heat and Mass Transfer

Citations: 20 📄

Year: 2021 🗓️

Optimization of the radial heat sink with a concentric cylinder and triangular fins installed on a circular base

Journal: Journal of Mechanical Science and Technology

Citations: 19 📄

Year: 2018 🗓️

Natural convection flow around heated disk in cubical enclosure

Journal: Journal of Mechanical Science and Technology

Citations: 17 📄

Year: 2018 🗓️

Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanning…

Journal: Powder Technology

Citations: 15 📄

Year: 2019 🗓️

Influence of colloidal particles with bimodal size distributions on retention and pressure drop in ultrafiltration membranes

Journal: Separation and Purification Technology

Citations: 13 📄

Year: 2019 🗓️

Experimental study of nanoparticle transport and penetration efficiency on a sharp-bent tube (elbow connection)

Journal: International Journal of Heat and Mass Transfer

Citations: 10 📄

Year: 2020 🗓️

Modeling pressure drop values across ultra-thin nanofiber filters with various ranges of filtration parameters under an aerodynamic slip effect

Journal: Scientific Reports

Citations: 9 📄

Year: 2023 🗓️

Characterization of handheld disinfectant sprayers for effective surface decontamination to mitigate severe acute respiratory coronavirus virus 2 (SARS-CoV-2) transmission

Journal: Infection Control & Hospital Epidemiology

Citations: 9 📄

Year: 2021 🗓️

Quantitative analysis of droplet deposition produced by an electrostatic sprayer on a classroom table by using fluorescent tracer

Journal: Building and Environment

Citations: 8 📄

Year: 2021 🗓️

Study on droplet dispersion influenced by ventilation and source configuration in classroom settings using low-cost sensor network

Journal: Aerosol and Air Quality Research

Citations: 7 📄

Year: 2021 🗓️

Detection of airborne nanoparticles through enhanced light scattering images

Journal: Sensors

Citations: 6 📄

Year: 2022 🗓️

Saliva droplet evaporation experiment and simple correlation of evaporation-falling curve under different temperatures and RH

Journal: Aerosol and Air Quality Research

Citations: 4 📄

Year: 2023 🗓️

Numerical study of nanoparticle penetration characteristics in forked tubes using tracking particle identification

Journal: Powder Technology

Citations: 4 📄

Year: 2023 🗓️

Micael Nascimento | Engineering | Best Researcher Award

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Dr. Micael Nascimento | Engineering| Best Researcher Award

Dr. Micael Nascimento, Universidade de Aveiro, Portugal.

Dr. Micael dos Santos Nascimento is a distinguished researcher at the University of Aveiro, specializing in optoelectronics, photonics, and energy storage systems. He earned his Ph.D. in Physical Engineering in 2019, pioneering the integration of optical fiber sensing networks for monitoring lithium-ion battery safety parameters. With over a decade of experience, Dr. Nascimento has made significant strides in developing multi-parameter optical fiber sensors for advanced battery technologies, aligning his work with EU2030+ sustainability targets. He has contributed to numerous high-impact research projects, including the EU-funded INSTABAT and ILLIANCE projects, and is set to lead the TRACKENERGY project (2025–2031). Dr. Nascimento’s scholarly contributions include >30 scientific works in leading journals, earning him >700 citations and an h-index of 11. Beyond his research, he mentors students and teaches optical technologies, bridging academia and industry with collaborations involving global institutions and companies like BMW and VARTA

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Micael dos Santos Nascimento demonstrates exceptional qualifications for the Best Researcher Award through his impactful contributions to photonics, optoelectronics, and energy storage systems. His pioneering work in integrating optical fiber sensors into Li-ion batteries has significantly advanced the monitoring of critical safety parameters like temperature and strain, contributing to enhanced battery safety and efficiency. His involvement in prestigious projects, such as SIRBATT, INSTABAT, and ILLIANCE, reflects his commitment to innovation in line with EU2030+ climate targets.

🎓 Education:

Dr. Micael dos Santos Nascimento completed his Ph.D. in Physical Engineering from the University of Aveiro (UAVR) in 2019. His doctoral research focused on optoelectronics and photonics, specifically developing integrated optical fiber sensing devices for monitoring temperature and strain in lithium-ion batteries. This pioneering work laid the foundation for integrating optical fiber sensing networks into commercially available and laboratory-prepared batteries. During his academic journey, Dr. Nascimento acquired expertise in advanced sensor technologies and multi-parameter monitoring systems. His educational background reflects a strong emphasis on innovative approaches to energy storage, photonics, and sustainability, aligning with modern scientific and industrial advancements.

💼 Professional Experience:

Dr. Micael dos Santos Nascimento has an extensive professional background as a researcher and academic in the field of optoelectronics and photonics. Since 2016, he has served as an Assistant Lecturer in the Physics Department at the University of Aveiro, teaching specialized courses on optical technologies. His research focuses on developing advanced optical fiber sensing technologies for battery safety and performance monitoring, contributing to multiple high-impact projects like SIRBATT, INSTABAT, and ILLIANCE. Dr. Nascimento has supervised numerous students in physical engineering programs and advanced specialization courses, fostering innovation and excellence in applied physics and energy storage systems.

🌍Research Contributions:

Dr. Micael dos Santos Nascimento possesses extensive expertise in optoelectronics, photonics, and advanced energy storage systems. He specializes in developing multi-parameter optical fiber sensors, including Fiber Bragg Grating (FBG) and interferometry-based sensors, for applications in battery monitoring and wireless power transfer. His technical skills include designing, characterizing, and integrating hybrid sensors for thermal and mechanical monitoring. Dr. Nascimento excels in data analysis, experimental testing, and publishing high-impact research. He is adept at bridging theoretical research with practical applications, focusing on next-generation lithium/sodium batteries and solid-state technologies for electric mobility.

🥇Award and Honors:

Dr. Micael dos Santos Nascimento has received recognition for his pioneering work in optoelectronics and photonics. His contributions to advanced optical fiber sensing technologies for battery monitoring have garnered national and international acclaim. Dr. Nascimento has been acknowledged for his role in prestigious projects, such as INSTABAT and ILLIANCE, and his innovative research has been featured in high-impact journals, earning him >700 citations and an h-index of 11. His dedication to mentoring students and advancing sustainable energy solutions has positioned him as a leading researcher, making his work integral to achieving EU2030+ climate goals.

Conclusion:

Dr. Micael dos Santos Nascimento’s exemplary contributions to optoelectronics, photonics, and energy storage technologies position him as a leading figure in his field. His pioneering work on optical fiber sensing networks for lithium-ion batteries has advanced battery safety and sustainability efforts, aligning with global energy goals.  Dr. Nascimento’s leadership in prestigious projects like INSTABAT and TRACKENERGY underscores his commitment to advancing science and mentoring future researchers. He is a deserving candidate for the Research for Best Researcher Award.

📚Publication Top Notes:

1️⃣ Internal strain and temperature discrimination with optical fiber hybrid sensors in Li-ion batteries – Journal of Power Sources (Cited by 167, 2019) 🔋📏
2️⃣ Internal and external temperature monitoring of a Li-ion battery with fiber Bragg grating sensors – Sensors (Cited by 164, 2016) 🔋🌡️
3️⃣ Real time thermal monitoring of lithium batteries with fiber sensors and thermocouples: A comparative study – Measurement (Cited by 118, 2017) 📊🕒
4️⃣ Temperature fiber sensing of Li-ion batteries under different environmental and operating conditions – Applied Thermal Engineering (Cited by 50, 2019) 🌡️🏞️
5️⃣ Thermal mapping of a lithium polymer batteries pack with FBGs network – Batteries (Cited by 46, 2018) 🗺️🔋
6️⃣ Simultaneous sensing of temperature and Bi-directional strain in a prismatic Li-ion battery – Batteries (Cited by 43, 2018) ↔️🌡️
7️⃣ Embedded fiber sensors to monitor temperature and strain of polymeric parts fabricated by additive manufacturing and reinforced with NiTi wires – Sensors (Cited by 29, 2020) 🧬📐