Richard Usang | Environmental Monitoring | Best Researcher Award

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Dr. Richard Usang | Environmental Monitoring | Best Researcher Award

Senior Data Scientist at Heineken Uk, United Kingdom📖

Dr. Richard Usang is a distinguished Chemistry expert and Data Scientist with extensive experience in industrial and environmental chemistry, AI-driven analytics, and machine learning applications. His expertise spans advanced chemical research, data-driven decision-making, and AI model evaluation. With a Ph.D. in Industrial & Environmental Chemistry and an MSc in Data Science, he bridges the gap between scientific research and AI innovations. Dr. Usang has led impactful projects in predictive modeling, process optimization, and sustainability-driven solutions across various industries.

Profile

Orcid Profile

Education Background🎓

  • Ph.D. Industrial & Environmental Chemistry – University of Ibadan, Nigeria (2021)
  • MSc Data Science – University of Sussex, UK (2023)
  • MSc Industrial Chemistry (Top 1%) – University of Ibadan, Nigeria (2014)
  • BSc Chemistry (Ranked 1st) – Benue State University, Nigeria (2011)

Professional Experience🌱

Dr. Usang is currently a Senior Data Scientist at Heineken UK, where he applies AI and machine learning to optimize production processes and marketing strategies. He previously served as a Lead Data Analyst at EMCOR UK, significantly improving data processing efficiency. His earlier roles at The Heineken Company included Data Scientist and Brewing Process Specialist, where he spearheaded predictive modeling projects, optimized brewing parameters, and contributed to sustainability initiatives. He also held an academic position as a Research Assistant at the University of Ibadan, conducting groundbreaking research on chemical processes and environmental impact assessments.

Research Interests🔬

Her research interests include:

  1. AI-driven chemical data analysis and predictive modeling
  2. Sustainable industrial processes and environmental chemistry
  3. Machine learning applications in materials science
  4. AI content evaluation and Natural Language Processing in Chemistry

Author Metrics

Dr. Usang has authored several peer-reviewed publications on environmental chemistry, AI-driven water quality assessments, and sustainable waste management. Notable works include:

  1. “Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment.”
  2. “Synthesis, Aqueous Solubility Studies, and Antifungal Activity Test of Some Tributyltin(IV) Carboxylates.”
  3. Conference presentations at TU Braunschweig, Germany, and the University of Ibadan, Nigeria.
Awards and Honors
  • Recognized among the Top 1% in MSc Industrial Chemistry
  • Best Graduate (1st Rank) in BSc Chemistry at Benue State University
  • Contributor to multiple industry-driven AI and sustainability initiatives
Publications Top Notes 📄
1.  Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment
  • Authors: Richard O. Usang, Bamidele I. Olu-Owolabi, Kayode O. Adebowale
  • Journal: Journal of Hydrology: Regional Studies
  • Publication Date: January 2025
  • DOI: 10.1016/j.ejrh.2025.102182
  • ISSN: 2214-5818
Abstract:

This research integrates Principal Component Analysis (PCA), Fuzzy Inference Systems (FIS), and Advanced Neural Networks to develop a more robust and precise estuarine water quality assessment model. The study applies machine learning and statistical techniques to improve water quality monitoring, pollution prediction, and ecological sustainability. By leveraging fuzzy logic and artificial intelligence, the proposed framework enhances the decision-making process for environmental management.

Key Highlights:
  • PCA for Data Reduction: Identifies key water quality parameters affecting estuarine ecosystems.
  • Fuzzy Inference Systems: Enhances interpretability and decision-making in water quality assessment.
  • Advanced Neural Networks: Improves prediction accuracy for water pollution trends and environmental impact analysis.
  • Application in Environmental Sustainability: Provides insights into climate change effects on estuarine water systems.

Conclusion

Dr. Richard Usang is an outstanding researcher whose interdisciplinary expertise, AI-driven environmental innovations, and industry-academic contributions make him a top contender for the Best Researcher Award. Expanding his AI applications, increasing global collaborations, and enhancing industry-academia partnerships will further solidify his impact in environmental monitoring and AI-based sustainability solutions.

Dong-Bin Kwak | Aerosol | Best Researcher Award

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

Assistant Professor at Seoul National University of Science and Technology, South Korea📖

Dr. Dong-Bin Kwak is an accomplished researcher and educator specializing in aerosol science, particle technology, and filtration engineering. He is currently an Assistant Professor in the Department of Manufacturing Systems and Design Engineering at Seoul National University of Science and Technology, where he leads the Nanoparticle Engineering Laboratory (NEL) and contributes to the Center for Filtration Research (CFR). Dr. Kwak’s work bridges experimental and computational methods, addressing challenges in air filtration, semiconductor particle control, and fluid dynamics. He has received numerous accolades, including the Young Scientist Award from the Korean Society of Manufacturing Process Engineers and fellowships from the American Filtration and Separations Society.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

Dr. Dong-Bin Kwak earned his Ph.D. in Mechanical Engineering from the University of Minnesota, Twin Cities, in 2023, where he conducted advanced research in aerosol science, contamination control, and filtration systems. Prior to this, he graduated with a Bachelor of Science in Mechanical Engineering with summa cum laude honors from Hanyang University, Seoul, Korea, in 2017. During his undergraduate studies, he received multiple prestigious scholarships and awards, including the National Engineering Fully Funded Scholarship and the President’s List Scholarship, which highlighted his exceptional academic performance and research potential.

Professional Experience🌱

  • Assistant Professor, Seoul National University of Science and Technology, Korea (2024–Present)
    Leading research in nanoparticle engineering and filtration systems.
  • Applications Scientist, Onto Innovation, Chandler, AZ (2023)
    Developed next-generation automated optical inspection (AOI) systems for semiconductor manufacturing.
  • Graduate Research Assistant, University of Minnesota, USA (2017–2023)
    Conducted pioneering research in contamination control, filtration efficiency, and aerosol particle characterization.
  • Undergraduate Research Assistant, Hanyang University, Korea (2015–2017)
    Focused on aerosol technology and heat transfer optimization.
Research Interests🔬

Aerosol science and technology, particle generation and control, air and liquid filtration, gas-to-particle conversion, fluid dynamics, heat transfer, semiconductor contamination control, air pollution mitigation, and AI/ML applications in engineering.

Author Metrics

Dr. Kwak has contributed extensively to peer-reviewed journals and conferences, showcasing impactful research in filtration and aerosol technology. His work has garnered a robust citation record on Google Scholar, reflecting his academic influence in engineering and applied sciences.

Publications Top Notes 📄

1. Nanofiber Filter Performance Improvement: Nanofiber Layer Uniformity and Branched Nanofiber

  • Authors: SC Kim, S Kang, H Lee, DB Kwak, Q Ou, C Pei, DYH Pui
  • Journal: Aerosol and Air Quality Research, Vol. 20 (1), pp. 80-88
  • Citations: 36
  • Year : 2020
  • Abstract:
    This study focuses on enhancing the performance of nanofiber filters by improving layer uniformity and introducing branched nanofiber structures. The research achieves higher filtration efficiency while maintaining a low-pressure drop, contributing to advancements in air quality control.

2. Inverse Heat Conduction Modeling to Predict Heat Flux in a Hollow Cylindrical Tube Having Irregular Cross-Sections

  • Authors: JH Noh, DB Kwak, KB Kim, KU Cha, SJ Yook
  • Journal: Applied Thermal Engineering, Vol. 128, pp. 1310-1321
  • Citations: 31
  • Year : 2018
  • Abstract:
    This paper uses inverse heat conduction modeling to predict heat flux in hollow cylindrical tubes with irregular cross-sections. The findings offer significant improvements for designing and optimizing thermal systems.

3. Cooling Performance of a Radial Heat Sink with Triangular Fins on a Circular Base at Various Installation Angles

  • Authors: DB Kwak, JH Noh, KS Lee, SJ Yook
  • Journal: International Journal of Thermal Sciences, Vol. 120, pp. 377-385
  • Citations: 23
  • Year : 2017
  • Abstract:
    The research evaluates the thermal behavior of radial heat sinks featuring triangular fins on a circular base at different installation angles. The study provides optimal design configurations to enhance heat dissipation efficiency in electronic cooling systems.

4. Numerical Investigation of Nanoparticle Deposition Location and Pattern on a Sharp-Bent Tube Wall

  • Authors: DB Kwak, SC Kim, H Lee, DYH Pui
  • Journal: International Journal of Heat and Mass Transfer, Vol. 164, Article 120534
  • Citations: 20
  • Year : 2021
  • Abstract:
    This paper presents a numerical investigation into nanoparticle deposition patterns on sharp-bent tube walls. The findings provide insights into improving design parameters for nanoparticle fluid management in industrial applications.

5. Optimization of the Radial Heat Sink with a Concentric Cylinder and Triangular Fins Installed on a Circular Base

  • Authors: DB Kwak, HP Kwak, JH Noh, SJ Yook
  • Journal: Journal of Mechanical Science and Technology, Vol. 32, pp. 505-512
  • Citations: 19
  • Year : 2018
  • Abstract:
    The study introduces an optimized design for radial heat sinks using concentric cylinders and triangular fins. By analyzing thermal performance and structural integrity, the research provides practical solutions for enhancing cooling systems.

Conclusion

Dr. Dong-Bin Kwak is a deserving candidate for the Best Researcher Award based on his exceptional academic achievements, impactful research, and contributions to the fields of aerosol science and engineering. His work demonstrates a rare combination of academic rigor and industrial relevance, making him a strong contender for this recognition. Addressing areas such as research diversification and global collaboration could further strengthen his candidacy and amplify his contributions to science and society.