Prof. Jiang xiaowei | Surface Chemistry | Best Researcher Award
team leader at jiangsu university of science and technology in China.
Jiang Xiaowei π is a professor at Jiangsu University of Science and Technology and a leading talent in Jiangsu Provinceβs “333 Project” and Deep Blue initiative. π With expertise in intelligent welding π€, industrial robots, and digital factory technology π, he led the development of Chinaβs first intelligent ship pipe welding production line and wall-climbing painting robots π¨. His work was recognized as one of Chinaβs top ten technological advances in intelligent manufacturing (2019) π. A distinguished expert, he has won multiple national science awards π , holds 10 invention patents π, and actively contributes to international engineering organizations. π
Jiang Xiaowei is a highly accomplished researcher in intelligent welding, industrial robotics, and smart manufacturing π€π. 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 π
- Jiangsu University of Science and Technology β Professor at the university.
Experience π
- Leading Talent in Jiangsu Province β Recognized under the “333 Project” and Deep Blue initiative. π
- Expert in Intelligent Welding & Robotics π€ β Specializes in industrial robot applications, digital factory technology, and equipment integration.
- Project Leader π β Led the development of Chinaβs first intelligent pipe welding production line for ships and wall-climbing painting robots. π¨
- Award-Winning Innovator π β Won multiple national and industry-specific science and technology awards.
- Patent Holder π β First inventor of 10 patents, including 9 domestic and 1 European invention patent.
- Editorial & Committee Memberships ποΈ β Serves on international journal editorial boards and national standardization committees in marine machinery and shipbuilding.
Professional Development ππ
Jiang Xiaowei has made significant contributions to intelligent welding π€, industrial robotics, and digital manufacturing π. As a key figure in Jiangsu Provinceβs “333 Project” and Deep Blue initiative π, he has led groundbreaking projects, including Chinaβs first intelligent pipe welding production line for ships and wall-climbing painting robots π¨. His achievements earned multiple prestigious awards π, and he holds 10 invention patents π. Actively engaged in professional organizations π, 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. π¬
Jiang Xiaowei specializes in intelligent welding systems π€, industrial robotics π, and digital manufacturing π. His research focuses on developing automated welding technologies π₯, smart robotic applications π€, and intelligent factories βοΈ to enhance efficiency in shipbuilding and industrial production. He played a key role in creating Chinaβs first intelligent pipe welding production line for ships π’ and wall-climbing painting robots π¨. His work integrates AI-driven automation π§ and precision engineering π οΈ to advance next-generation manufacturing technologies π. Jiangβs innovations contribute to making smart factories and robotics more adaptive, efficient, and intelligent. π
Awards & Honors π
- National Defense Science and Technology Progress Award β Second Prize (2nd place) π
- Science and Technology Progress Award (China Shipbuilding Industry Corporation) β Two First Prizes (2nd & 4th place) π₯π₯
- Science and Technology Progress Award (China Shipbuilding Engineering Society) β One First Prize (2nd place) and One Second Prize (1st place) π₯π₯
- Top Ten Technological Advances in Chinaβs Intelligent Manufacturing (2019) π
- Excellent Expert in Standardization (China Shipbuilding Industry, 2024) π¨βπ«
- Editorial Board Member β International Journal of Science and Engineering π
- Senior Member β China Society of Shipbuilding Engineers & China Society of Mechanical Engineers βοΈ
- Professional Member β American Society of Mechanical Engineers π
π Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic β MF Boni, P Lemey, X Jiang, TTY Lam, BW Perry, TA Castoe, A Rambaut, … β Nature Microbiology (2020) β π 1120 citations
π The origins of SARS-CoV-2: A critical review β EC Holmes, SA Goldstein, AL Rasmussen, DL Robertson, … β Cell (2021) β π 640 citations
π Exploring the natural origins of SARS-CoV-2 in the light of recombination β S Lytras, J Hughes, D Martin, P Swanepoel, A de Klerk, R Lourens, … β Genome Biology and Evolution (2022) β π 171 citations
π The animal origin of SARS-CoV-2 β S Lytras, W Xia, J Hughes, X Jiang, DL Robertson β Science (2021) β π 160 citations
π The evolutionary landscape of colorectal tumorigenesis β W Cross, M Kovac, V Mustonen, D Temko, H Davis, AM Baker, S Biswas, … β Nature Ecology & Evolution (2018) β π 130 citations
π Characterizing the diverse mutational pathways associated with R5-tropic maraviroc resistance: HIV-1 that uses the drug-bound CCR5 coreceptor β X Jiang, F Feyertag, CJ Meehan, GP McCormack, SA Travers, C Craig, … β Journal of Virology (2015) β π 43 citations
π Ebolavirus is evolving but not changing: No evidence for functional change in EBOV from 1976 to the 2014 outbreak β AS Olabode, X Jiang, DL Robertson, SC Lovell β Virology (2015) β π 41 citations
π Wildlife trade is likely the source of SARS-CoV-2 β X Jiang, R Wang β Science (2022) β π 26 citations
π How One Pandemic Led To Another: Was African Swine Fever Virus (ASFV) The Disruption Contributing To Severe Acute Respiratory Syndrome Coronavirus 2 (SARSβCoVβ2) Emergence? β W Xia, J Hughes, D Robertson, X Jiang β Preprints (2021) β π 23 citations
π 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. π