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

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

Seoul National University of Science and Technology, South Korea.

Dong-Bin Kwak is an Assistant Professor at Seoul National University of Science and Technology in the Manufacturing Systems and Design Engineering (MSDE) department. With expertise in aerosol science and technology, Dong-Bin has significantly contributed to areas like particle control, filtration, heat transfer, and air pollution. He has previously worked as an Applications Scientist at Onto Innovation and as a researcher at the University of Minnesota's renowned Particle Technology Laboratory. His innovative projects, extensive publications, and recognition in the field highlight his dedication to solving real-world challenges in nanoparticle engineering and fluid dynamics.

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🎓 Education

Dong-Bin Kwak is an Assistant Professor at Seoul National University of Science and Technology (2024–Present), where he leads projects in nanoparticle engineering and air filtration systems. Previously, he worked as an Applications Scientist at Onto Innovation in Chandler, AZ (2023), developing next-generation automated optical inspection (AOI) systems for semiconductor packaging.

He holds a Ph.D. in Mechanical Engineering (2017–2023) from the University of Minnesota, Twin Cities, MN, where his research focused on nanoparticle control, liquid/air filtration, and contamination source analysis. Dong-Bin completed his B.Sc. in Mechanical Engineering (Summa Cum Laude, 2011–2017) at Hanyang University in Seoul, Korea, where he conducted research in aerosol technology and heat transfer optimization.

🛠️ Professional Experience

Dong-Bin Kwak is an Assistant Professor at Seoul National University of Science and Technology (2024–Present), where he leads projects in nanoparticle engineering and air filtration systems. Previously, he worked as an Applications Scientist at Onto Innovation in Chandler, AZ (2023), where he developed next-generation automated optical inspection (AOI) systems for semiconductor packaging.

Dong-Bin earned extensive research experience as a Graduate Research Assistant at the University of Minnesota (2017–2023), focusing on nanoparticle control, liquid/air filtration, and contamination source analysis. Earlier, as an Undergraduate Research Assistant at Hanyang University (2015–2017), he conducted research in aerosol technology and heat transfer optimization.

đź§Ş Research Interests

Aerosol Science & Technology focuses on particle generation, control, and filtration. This area encompasses the processes of producing and managing airborne particles while implementing effective filtration techniques to mitigate their impact.

Fluid Dynamics & Heat Transfer includes the study and application of radial heat sinks and hydrosol calibration systems. These innovations play a critical role in improving heat dissipation and ensuring precise calibration in hydrosol systems.

Gas-to-Particle Conversion examines the mechanisms through which gaseous substances transform into particulate matter. This process is crucial for understanding particle formation in both natural and industrial settings.

Air Pollution Mitigation addresses air filtration techniques and VOC detection. By developing advanced filtration systems and methods to detect volatile organic compounds (VOCs), this field aims to reduce air pollution and enhance environmental quality.

🏆 Awards

Young Scientist Award (2024), Korean Society of Manufacturing Process Engineers

AFS Fellowship (2019, 2023), American Filtration and Separations Society

Mechanical Engineering Fellowship (2017–2018), University of Minnesota

President’s List Scholarship & Best Academic Awards (2015–2016), Hanyang University

Best Tutor Award (2015), Engineering Mathematics at Hanyang University

📚Publications Top Notes

Impact of High-altitude Conditions and Low Ambient Pressure on Saliva Evaporation Rate and Airborne Transmission of Viruses Building and Environment | 2024-12 | Journal article
Contributors: Seongmin Cho, Dong-Bin Kwak, David Y.H. Pui. Link

Accurate Measurements of Particle Emissions from a Three-dimensional Printer Using a Chamber Test with a Mixer-installed Sampling System Scientific Reports | 2023 | Journal article
Contributors: Lee, H.; Kwak, D.-B.; Choi, C.Y.; Ahn, K.-H. Link

Modeling Pressure Drop Values Across Ultra-thin Nanofiber Filters with Various Ranges of Filtration Parameters Under an Aerodynamic Slip Effect Scientific Reports | 2023 | Journal article
Contributors: Lee, S.; Bui-Vinh, D.; Baek, M.; Kwak, D.-B.; Lee, H. Link

Numerical Study of Nanoparticle Penetration Characteristics in Forked Tubes Using Tracking Particle Identification Powder Technology | 2023 | Journal article
Contributors: Kwak, D.-B.; Wang, J.S.; Lee, H.; Pui, D.Y.H. Link

Saliva Droplet Evaporation Experiment and Simple Correlation of Evaporation-falling Curve Under Different Temperatures and RH
Aerosol and Air Quality Research | 2023 | Journal article
Contributors: Kwak, D.-B.; Fischer, H.D.; Pui, D.Y.H. Link

 

 

 

Dr. Anik Naha Biswas | Meteorology | Best Researcher Award

Dr. Anik Naha Biswas | Meteorology | Best Researcher Award

Nanyang Technological University, Singapore

Anik Naha Biswas is currently a Ph.D. candidate at Nanyang Technological University (NTU), Singapore, specializing in atmospheric science and weather forecasting. With a strong foundation in electronics, communication engineering, and machine learning, Anik focuses on developing advanced algorithms for rainfall prediction in tropical regions. He has published extensively in top-tier conferences and journals, contributing to the fields of remote sensing, GNSS technology, and climatology.

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Education 🎓

Anik Naha Biswas is currently pursuing his Ph.D. in Electronics & Electrical Engineering at Nanyang Technological University (NTU), Singapore (2019 - 2024). His research focuses on developing innovative methods for rainfall forecasting, with a particular emphasis on utilizing atmospheric gradients in tropical regions. Anik's academic journey began with a strong foundation in electronics and communication. He earned his B.Tech degree in Electronics & Communication Engineering from the Institute of Engineering & Management, Kolkata, achieving a CGPA of 8.88/10. He further specialized in the field with an M.Tech in Microwave & Communication Engineering from the Indian Institute of Engineering Science and Technology, Shibpur (2017 - 2019), securing an impressive 82% in his coursework. Throughout his academic career, Anik has consistently demonstrated excellence, driven by a passion for leveraging technology to address real-world challenges in atmospheric science.

Experience & Projects 🛠️

RF Signal Area Coverage Prediction: In his recent work, Anik leveraged machine learning to predict the coverage of radio frequency (RF) signals in specific regions. By analyzing building maps and transmitter locations, he developed a model to enhance the accuracy of RF coverage predictions, which is crucial for optimizing wireless communication networks.

Rainfall Forecasting Using Atmospheric Gradient: As part of his Ph.D. research, Anik developed a long-term rainfall prediction algorithm using GPS-derived atmospheric gradients. This innovative approach is particularly focused on the tropical region, where predicting rainfall patterns is challenging. His work aims to provide more accurate forecasts, aiding in weather prediction and climate modeling.

Frequency Selective Surface Design: During his M.Tech studies, Anik designed specialized frequency-selective surfaces to enhance antenna gain and provide effective shielding. These designs included multi-layered structures that improved the performance of wideband antennas, showcasing his expertise in microwave engineering and antenna technology.

Through these projects, Anik has showcased his ability to blend theoretical research with practical applications, making significant contributions to wireless communication and atmospheric science.

Research Interests 🔍

Weather forecasting and climatology 🌦️

GNSS technology 🌍

Remote sensing and atmospheric science 🛰️

Wireless communication 📡

Awards & Achievements 🏆

National Scholarship for outstanding academic performance in Higher Secondary Examination

Qualified GATE with a rank of 4528 among 141,665 candidates

Best Audience Choice Award at NTU's EEE department’s 3MT competition

IELTS score: 7/9 and GRE score: 314

Publications 📚 

Rainfall Forecasting Using GPS Derived Atmospheric Gradient and Residual for Tropical Region IEEE Transactions on Geoscience and Remote Sensing, 2021. Link

Comparative Study of Atmospheric Gradient Components in Relation to Rainfall Remote Sensing, Accepted for 2024. Link

Study of Temporal and Spatial Correlation of Precipitable Water Vapor with Rainfall Remote Sensing, 2022. Link