Cristina M.R. Caridade | Engineering | Best Researcher Award

Prof. Dr. Cristina M.R. Caridade | Engineering | Best Researcher Award

Prof. Dr. Cristina M.R. Caridade, Polytechnic of Coimbra, Coimbra, Portugal.

Prof. Dr. Cristina M.R. Caridade is a Coordinate Professor at the Engineering School in Coimbra, ๐Ÿ‡ต๐Ÿ‡น with over 30 years of teaching experience. Holding a PhD in Applied Mathematics, she leads the Physics and Mathematics Department and contributes to research in digital imaging ๐Ÿง , STEM education ๐Ÿ“˜, and mathematical innovation ๐Ÿ”ข. As part of EU-funded projects like ERASMUS+, she inspires future engineers with gamified learning ๐Ÿ•น๏ธ and b-learning strategies ๐Ÿ’ป, promoting excellence in mathematics education.

Profile

๐ŸŽ“ Early Academic Pursuits

Prof. Dr. Cristina Maria Ribeiro Caridade began her academic journey with a degree in Mathematics from the University of Coimbra, Portugal. Her passion for applied mathematics led her to pursue a Master’s and PhD in Applied Mathematics from the University of Porto. These formative years laid the groundwork for her lifelong dedication to mathematical education and research in digital applications and pedagogy.

๐Ÿ’ผ Professional Endeavors

With over three decades of experience, Prof. Caridade has been a Coordinating Professor in the Mathematics Department of the Engineering School in Coimbra, Portugal. She is also the current President of the Physics and Mathematics Department at the same institution. Her leadership has significantly influenced the academic environment, fostering interdisciplinary and applied mathematical education.

๐Ÿ”ฌ Contributions and Research Focus On Engineeringย 

Prof. Dr. Cristinaโ€™s research interests span a wide range of topics, including digital image processing, medical imaging, algorithms, and educational methodologies in mathematics. Her work emphasizes applied mathematics in engineering education, aiming to make complex topics more engaging for students. She also explores STEM, project-based learning, gamification, and the evaluation of mathematical competencies in higher education. Notably, she is part of research centers like CERNAS and SUScita and actively participates in numerous EU-funded projects such as ERASMUS+ and PDR2020.

๐ŸŒ Impact and Influence

Prof. Caridade’s contributions go beyond national borders. Through involvement in innovative educational initiatives like MATH-DIGGER and GIRLS, she fosters international collaboration and enhances global educational practices. Her research has improved teaching strategies and curriculum development across Europe, making mathematics more accessible and practical for engineering students.

๐Ÿง  Research Skills

Cristina Caridade is proficient in digital image processing, medical imaging, algorithm design, and applied mathematics techniques. She is skilled in integrating pedagogical strategies with technology, particularly in blended learning and gamified educational formats. Her methodological expertise in using the SOLO taxonomy and project-based learning has greatly advanced mathematics education research.

๐Ÿ… Awards and Honors

Though specific awards are not listed, Prof. Caridadeโ€™s leadership roles and her inclusion in high-impact European research projects demonstrate a career marked by esteem and professional recognition. Her role as a department president and contributor to various educational reform projects highlights her respected status in academia.

๐Ÿ›๏ธ Legacy and Future Contributions

Cristina M. R. Caridadeโ€™s legacy lies in her sustained contribution to the evolution of mathematics education, bridging the gap between theoretical mathematics and its application in engineering. Her efforts in promoting gender equity through the GIRLS project and enhancing digital literacy among students set a strong precedent for future educators. As she continues to influence policy, pedagogy, and international collaboration, her work will undoubtedly inspire the next generation of researchers and educators in STEM fields.

Publications Top Notes

๐Ÿ“ธ The use of texture for image classification of black & white air photographs
๐Ÿ“ฐ International Journal of Remote Sensing
๐Ÿ”ข Cited by: 78 | ๐Ÿ“… Year: 2008

๐Ÿงฌ Evolutionary and experimental assessment of novel markers for detection of Xanthomonas euvesicatoria in plant samples
๐Ÿ“ฐ PLoS One
๐Ÿ”ข Cited by: 34 | ๐Ÿ“… Year: 2012

๐Ÿ“š CAS and real life problems to learn basic concepts in Linear Algebra course
๐Ÿ“ฐ Computer Applications in Engineering Education
๐Ÿ”ข Cited by: 21 | ๐Ÿ“… Year: 2015

๐Ÿงช Identification of Xanthomonas fragariae, Xanthomonas axonopodis pv. phaseoli, and Xanthomonas fuscans subsp. fuscans…
๐Ÿ“ฐ Applied and Environmental Microbiology
๐Ÿ”ข Cited by: 19 | ๐Ÿ“… Year: 2011

๐Ÿงซ An automatic Method to identify and extract information of DNA bands in Gel Electrophoresis Images
๐Ÿ“ฐ IEEE Engineering in Medicine and Biology Society (EMBC)
๐Ÿ”ข Cited by: 18 | ๐Ÿ“… Year: 2009

๐Ÿ“ Projectโ€based teaching in Calculus courses: Estimation of the surface and perimeter of the Iberian Peninsula
๐Ÿ“ฐ Computer Applications in Engineering Education
๐Ÿ”ข Cited by: 15 | ๐Ÿ“… Year: 2018

๐ŸŽ“ Applying image processing techniques to motivate students in linear algebra classes
๐Ÿ“ฐ Learning
๐Ÿ”ข Cited by: 15 | ๐Ÿ“… Year: 2011

๐Ÿ› ๏ธ Evaluating engineering competencies: A new paradigm
๐Ÿ“ฐ IEEE Global Engineering Education Conference (EDUCON)
๐Ÿ”ข Cited by: 14 | ๐Ÿ“… Year: 2018

๐Ÿงฌ Automatic analysis of macroarrays images
๐Ÿ“ฐ IEEE EMBC
๐Ÿ”ข Cited by: 14 | ๐Ÿ“… Year: 2010

๐Ÿ’ป Tecnologias de informaรงรฃo e comunicaรงรฃo para o enriquecimento no ensino/aprendizagem
๐Ÿ“ฐ Instituto Superior de Engenharia de Coimbra
๐Ÿ”ข Cited by: 11 | ๐Ÿ“… Year: 2012

๐Ÿงฎ GeoGebra augmented reality: Ideas for teaching and learning math
๐Ÿ“ฐ International Conference on Mathematics and its Applications
๐Ÿ”ข Cited by: 10 | ๐Ÿ“… Year: 2021

๐Ÿงฌ Automatic detection of molecular markers in digital images
๐Ÿ“ฐ IEEE EMBC
๐Ÿ”ข Cited by: 10 | ๐Ÿ“… Year: 2009

Dong-Bin Kwak | Engineering | Best Researcher Award

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

๐ŸŽ“ย 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.

๐Ÿ’ผ Professionalย 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.

๐ŸŒ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.

๐Ÿฅ‡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.

๐Ÿ“šPublication Top Notes:

Nanofiber filter performance improvement: nanofiber layer uniformity and branched nanofiber

Journal: Aerosol and Air Quality Research

Citations: 36 ๐Ÿ“„

Year: 2020 ๐Ÿ—“๏ธ

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

Journal: Applied Thermal Engineering

Citations: 31 ๐Ÿ“„

Year: 2018 ๐Ÿ—“๏ธ

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 ๐Ÿ“„

Year: 2017 ๐Ÿ—“๏ธ

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

Journal: International Journal of Heat and Mass Transfer

Citations: 20 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

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 ๐Ÿ“„

Year: 2018 ๐Ÿ—“๏ธ

Natural convection flow around heated disk in cubical enclosure

Journal: Journal of Mechanical Science and Technology

Citations: 17 ๐Ÿ“„

Year: 2018 ๐Ÿ—“๏ธ

Characterization of colloidal nanoparticles in mixtures with polydisperse and multimodal size distributions using a particle tracking analysis and electrospray-scanningโ€ฆ

Journal: Powder Technology

Citations: 15 ๐Ÿ“„

Year: 2019 ๐Ÿ—“๏ธ

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

Journal: Separation and Purification Technology

Citations: 13 ๐Ÿ“„

Year: 2019 ๐Ÿ—“๏ธ

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 ๐Ÿ“„

Year: 2020 ๐Ÿ—“๏ธ

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 ๐Ÿ“„

Year: 2023 ๐Ÿ—“๏ธ

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 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

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

Journal: Building and Environment

Citations: 8 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

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 ๐Ÿ“„

Year: 2021 ๐Ÿ—“๏ธ

Detection of airborne nanoparticles through enhanced light scattering images

Journal: Sensors

Citations: 6 ๐Ÿ“„

Year: 2022 ๐Ÿ—“๏ธ

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

Journal: Aerosol and Air Quality Research

Citations: 4 ๐Ÿ“„

Year: 2023 ๐Ÿ—“๏ธ

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

Journal: Powder Technology

Citations: 4 ๐Ÿ“„

Year: 2023 ๐Ÿ—“๏ธ