On the afternoon of June 26, Xiwicloud held a signing ceremony with Professor Fugee Tsung, a globally renowned expert in industrial big data and quality engineering, officially appointing him as the company's Chief Expert Consultant.

The significant moment was witnessed by Mr. Liu Wantao, Executive President of Shenzhen Council for Quality Promotion, Ms. Zhang Wen, Vice President and Secretary-General, along with chief quality officers from over 30 leading manufacturing enterprises including BYD, ZTE, and Shokz.

This collaboration marks a new milestone in Seewhy Technology's technological advancement in industrial quality management. Both parties will work closely to bridge fundamental research, technological breakthroughs, and industrial application, accelerating the commercialization of technological achievements and injecting strong momentum into the high-quality development of Chinese manufacturing.

[Profile of Professor Fugee Tsung]

• Chair Professor at both Hong Kong University of Science and Technology and HKUST(GZ)
• Director of Triple-i Institute (Industrial Information and Intelligence Research Institute)
• Head of Quality and Big Data Analytics Lab (QLab)

A globally recognized authority in industrial big data and quality engineering, Professor Tsung has been listed in Stanford-Elsevier Mendeley's "Top 2% Most Influential Scientists Lifetime Achievement".

Notable Honors and Achievements:

• Elected Academician of International Academy for Quality (IAQ)
• Fellow of multiple prestigious societies including ASA, ASQ, IISE, and HKIE
• Recipient of the 2025 ASQ Shewhart Medal (the highest honor in quality theory, methodology and practice)
• Winner of the 2025 George L. Smith Award (one of the highest honors in industrial engineering)
• Published over 180 papers in top-tier international journals with 9,500+ citations
• Awarded the IISE Annual 2025 Best Paper First Prize and three-time winner of IISE Transactions Best Paper Award
• Ranked #1 scholar for "Industrial Analytics" and top 5 for both "Industrial Intelligence" and "Industrial Statistics" on Google Scholar