Chang Soon Huh | Physical Chemistry | South Korea

Assist. Prof. Dr. Chang Soon Huh | Physical Chemistry | South Korea

Assistant Professor | Dong-Eui University | South Korea

Dr. Chang-soon Huh is an emerging researcher recognized for his growing contributions to analytical chemistry, biosensing technologies, and nanomaterial-assisted detection systems. With 13 peer-reviewed publications, 50 citations, and an h-index of 3, he demonstrates a steadily rising academic influence supported by methodologically robust and application-driven studies. His work integrates fluorescence spectroscopy, biomolecular recognition, and engineered nanomaterials to create rapid, sensitive, and cost-efficient diagnostic platforms capable of addressing contemporary analytical challenges. One of his notable achievements includes the development of a fluorescent detection strategy for alkaline phosphatase based on gold nanoclusters and p-nitrophenyl phosphate, underscoring his ability to connect fundamental chemical principles with practical biosensing innovation. His research portfolio highlights strong interdisciplinary collaboration, engaging co-authors across materials science, biotechnology, and chemical engineering, which enriches the scientific depth and applicability of his studies. These collaborations support novel advancements in high-sensitivity detection systems, enabling precise monitoring of biochemical reactions and contributing to improved diagnostic and environmental assessment methodologies. Beyond quantitative publication metrics, his work demonstrates broader societal relevance, particularly in areas requiring early disease detection, quality assurance in bioprocessing, and real-time analysis of biochemical pathways. His commitment to scientific rigor, innovation, and problem-solving positions him as a promising researcher with expanding influence in the global analytical science community. Through consistent scholarly output and an expanding citation record, Dr. Huh continues to advance impactful research that aligns with emerging needs in biosensing, nanotechnology, and chemical diagnostics.

Profiles : Scopus | ResearchGate

Featured Publications

Kim, S.-H., Huh, C.-S., & Kim, M.-M. (2025). Rapid and sensitive detection of alkaline phosphatase based on fluorescent gold nanoclusters and p-nitrophenyl phosphate. Journal of Bioscience and Bioengineering. Citations: 1

Lee, S. E., & Huh, C.-S. (2025). Application of smartphones to measurements of reducing power related to antioxidant activity. Journal of Analytical Chemistry.

Kim, G. H., Huh, C.-S., & Kim, M.-M. (2024). Development of a smartphone-based method for measuring the antioxidant efficacy of commercial beverages. Current Analytical Chemistry.

Talapphet, N., & Huh, C.-S. (2024). A smartphone colorimetric development with TMB/H₂O₂/HRP reaction system for hydrogen peroxide detection and its applications. Journal of Analytical Chemistry. Citations: 10

Talapphet, N., & Huh, C.-S. (2024). Development of gold nanocluster complex for the detection of tumor necrosis factor-alpha based on immunoassay. Journal of Immunological Methods. Citations: 4

Chang-soon Huh’s work advances analytical science through innovative biosensing and nanomaterial-based detection systems that improve accuracy, speed, and accessibility in chemical and biochemical analysis. His research supports global innovation in health diagnostics and contributes to practical technologies that strengthen scientific, industrial, and societal advancements.

Jiang xiaowei | Surface Chemistry | Best Researcher Award

Prof. Jiang xiaowei | Surface Chemistry | Best Researcher Award

team leader at jiangsu university of science and technology in China.

Jiang Xiaowei 🎓 is a professor at Jiangsu University of Science and Technology and a leading talent in Jiangsu Province’s “333 Project” and Deep Blue initiative. 🌊 With expertise in intelligent welding 🤖, industrial robots, and digital factory technology 🏭, he led the development of China’s first intelligent ship pipe welding production line and wall-climbing painting robots 🎨. His work was recognized as one of China’s top ten technological advances in intelligent manufacturing (2019) 🏆. A distinguished expert, he has won multiple national science awards 🏅, holds 10 invention patents 📜, and actively contributes to international engineering organizations. 🌍

Professional Profile
Suitability for the Best Researcher Award

Jiang Xiaowei is a highly accomplished researcher in intelligent welding, industrial robotics, and smart manufacturing 🤖🏭. His groundbreaking contributions in these fields, combined with multiple prestigious awards, patents, and leadership in national and international organizations, make him a strong candidate for the Best Researcher Award. His innovations have significantly impacted shipbuilding and manufacturing technologies, demonstrating both scientific excellence and real-world application.

Education 🎓

  • Jiangsu University of Science and Technology – Professor at the university.

Experience 🏆

  • Leading Talent in Jiangsu Province – Recognized under the “333 Project” and Deep Blue initiative. 🌊
  • Expert in Intelligent Welding & Robotics 🤖 – Specializes in industrial robot applications, digital factory technology, and equipment integration.
  • Project Leader 🚀 – Led the development of China’s first intelligent pipe welding production line for ships and wall-climbing painting robots. 🎨
  • Award-Winning Innovator 🏅 – Won multiple national and industry-specific science and technology awards.
  • Patent Holder 📜 – First inventor of 10 patents, including 9 domestic and 1 European invention patent.
  • Editorial & Committee Memberships 🏛️ – Serves on international journal editorial boards and national standardization committees in marine machinery and shipbuilding.

Professional Development 🚀📖

Jiang Xiaowei has made significant contributions to intelligent welding 🤖, industrial robotics, and digital manufacturing 🏭. As a key figure in Jiangsu Province’s “333 Project” and Deep Blue initiative 🌊, he has led groundbreaking projects, including China’s first intelligent pipe welding production line for ships and wall-climbing painting robots 🎨. His achievements earned multiple prestigious awards 🏆, and he holds 10 invention patents 📜. Actively engaged in professional organizations 🌍, he serves on editorial boards and national standardization committees, shaping the future of shipbuilding and mechanical engineering. His work continues to drive innovation in smart manufacturing. 🔬

Research Focus 🔍🤖

Jiang Xiaowei specializes in intelligent welding systems 🤖, industrial robotics 🚀, and digital manufacturing 🏭. His research focuses on developing automated welding technologies 🔥, smart robotic applications 🤝, and intelligent factories ⚙️ to enhance efficiency in shipbuilding and industrial production. He played a key role in creating China’s first intelligent pipe welding production line for ships 🚢 and wall-climbing painting robots 🎨. His work integrates AI-driven automation 🧠 and precision engineering 🛠️ to advance next-generation manufacturing technologies 🌍. Jiang’s innovations contribute to making smart factories and robotics more adaptive, efficient, and intelligent. 🔄

Awards & Honors 🏆

  • National Defense Science and Technology Progress Award – Second Prize (2nd place) 🏅
  • Science and Technology Progress Award (China Shipbuilding Industry Corporation) – Two First Prizes (2nd & 4th place) 🥇🥇
  • Science and Technology Progress Award (China Shipbuilding Engineering Society) – One First Prize (2nd place) and One Second Prize (1st place) 🥇🥈
  • Top Ten Technological Advances in China’s Intelligent Manufacturing (2019) 🚀
  • Excellent Expert in Standardization (China Shipbuilding Industry, 2024) 👨‍🏫
  • Editorial Board MemberInternational Journal of Science and Engineering 📖
  • Senior Member – China Society of Shipbuilding Engineers & China Society of Mechanical Engineers ⚙️
  • Professional Member – American Society of Mechanical Engineers 🌍
Publication Top Notes:

📌 Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic – MF Boni, P Lemey, X Jiang, TTY Lam, BW Perry, TA Castoe, A Rambaut, … – Nature Microbiology (2020) – 📑 1120 citations

📌 The origins of SARS-CoV-2: A critical review – EC Holmes, SA Goldstein, AL Rasmussen, DL Robertson, … – Cell (2021) – 📑 640 citations

📌 Exploring the natural origins of SARS-CoV-2 in the light of recombination – S Lytras, J Hughes, D Martin, P Swanepoel, A de Klerk, R Lourens, … – Genome Biology and Evolution (2022) – 📑 171 citations

📌 The animal origin of SARS-CoV-2 – S Lytras, W Xia, J Hughes, X Jiang, DL Robertson – Science (2021) – 📑 160 citations

📌 The evolutionary landscape of colorectal tumorigenesis – W Cross, M Kovac, V Mustonen, D Temko, H Davis, AM Baker, S Biswas, … – Nature Ecology & Evolution (2018) – 📑 130 citations

📌 Characterizing the diverse mutational pathways associated with R5-tropic maraviroc resistance: HIV-1 that uses the drug-bound CCR5 coreceptor – X Jiang, F Feyertag, CJ Meehan, GP McCormack, SA Travers, C Craig, … – Journal of Virology (2015) – 📑 43 citations

📌 Ebolavirus is evolving but not changing: No evidence for functional change in EBOV from 1976 to the 2014 outbreak – AS Olabode, X Jiang, DL Robertson, SC Lovell – Virology (2015) – 📑 41 citations

📌 Wildlife trade is likely the source of SARS-CoV-2 – X Jiang, R Wang – Science (2022) – 📑 26 citations

📌 How One Pandemic Led To Another: Was African Swine Fever Virus (ASFV) The Disruption Contributing To Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‑CoV‑2) Emergence? – W Xia, J Hughes, D Robertson, X Jiang – Preprints (2021) – 📑 23 citations

📌 Conclusion:

Jiang Xiaowei’s pioneering research, technological innovations, and global impact make him an ideal candidate for the Best Researcher Award. His scientific excellence, leadership, and industry-changing contributions position him as a leading figure in intelligent manufacturing, making his work invaluable for future advancements in robotics, welding, and automation. 🚀