LUIAS appoints Prof Guillermo Sapiro and Prof Eugene Tyrtyshnikov as Lingnan Fellows

  • Event Highlights

Issue No. 195 Apr 2026

The Lingnan University Institute for Advanced Study (LUIAS) hosted a conferment ceremony on 10 March to honour Prof Guillermo Sapiro, Augustine Family Professor in Electrical and Computer Engineering at Princeton University and Distinguished Engineer at Apple, Inc. He was formally appointed a Lingnan Fellow in recognition of his remarkable academic achievements and significant contributions in the field.

 

Following the conferment, Prof Sapiro delivered an intriguing lecture entitled "The Real and Impactful AI Revolution Will Come in Healthcare", delving into the far-reaching influence of artificial intelligence with a particular focus on its profound impact on healthcare. His pioneering work demonstrates how AI and computer vision are making healthcare more accessible, accurate, and holistic. Prof Sapiro gave examples, such as AI-powered autism screening, nutritional assessment, and biological age measurement, to illustrate the real-world impact of these technologies, and his lecture underscored AI’s great potential to revolutionise medical practice, improve patient outcomes, and address critical global health challenges, allowing the audience to envision a future where technology and healthcare are seamlessly integrated for the greater good.

Prof Guillermo Sapiro

Prof Guillermo Sapiro

Prof Eugene Tyrtyshnikov

Prof Eugene Tyrtyshnikov

Later on 25 March, LUIAS held another conferment ceremony to officially appoint Prof Eugene Tyrtyshnikov, a distinguished mathematician, Academician of the Russian Academy of Sciences, and Professor and Chairman at Lomonosov Moscow State University, as a Lingnan Fellow, recognising his outstanding academic achievements in computational mathematics and numerical analysis, as well as the significant societal impact of his work.

 

Following the conferment, Prof Tyrtyshnikov gave a very interesting lecture, “Theory and Applications of Tensor Decompositions”, describing the advanced mathematical method used to analyse and simplify complex datasets, and its growing importance in modern data analysis models. He also explained how different mathematical techniques can help solve complex data challenges, improving efficiency and accuracy in data analysis, scientific computing, and AI, while also focusing on unresolved mathematical problems that continue to challenge researchers.