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

πŸŽ“Β 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.

πŸ’Ό ProfessionalΒ 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.

πŸ₯‡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.

πŸ“šPublication Top Notes:

Nanofiber filter performance improvement: nanofiber layer uniformity and branched nanofiber

Journal: Aerosol and Air Quality Research

Citations: 36 πŸ“„

Year: 2020 πŸ—“οΈ

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

Journal: Applied Thermal Engineering

Citations: 31 πŸ“„

Year: 2018 πŸ—“οΈ

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 πŸ“„

Year: 2017 πŸ—“οΈ

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

Journal: International Journal of Heat and Mass Transfer

Citations: 20 πŸ“„

Year: 2021 πŸ—“οΈ

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 πŸ“„

Year: 2018 πŸ—“οΈ

Natural convection flow around heated disk in cubical enclosure

Journal: Journal of Mechanical Science and Technology

Citations: 17 πŸ“„

Year: 2018 πŸ—“οΈ

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 πŸ“„

Year: 2019 πŸ—“οΈ

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

Journal: Separation and Purification Technology

Citations: 13 πŸ“„

Year: 2019 πŸ—“οΈ

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 πŸ“„

Year: 2020 πŸ—“οΈ

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 πŸ“„

Year: 2023 πŸ—“οΈ

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 πŸ“„

Year: 2021 πŸ—“οΈ

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

Journal: Building and Environment

Citations: 8 πŸ“„

Year: 2021 πŸ—“οΈ

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 πŸ“„

Year: 2021 πŸ—“οΈ

Detection of airborne nanoparticles through enhanced light scattering images

Journal: Sensors

Citations: 6 πŸ“„

Year: 2022 πŸ—“οΈ

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

Journal: Aerosol and Air Quality Research

Citations: 4 πŸ“„

Year: 2023 πŸ—“οΈ

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

Journal: Powder Technology

Citations: 4 πŸ“„

Year: 2023 πŸ—“οΈ