<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Derek G. Ma | GlobeMind AI Research Group</title><link>https://globemindai.github.io/author/derek-g.-ma/</link><atom:link href="https://globemindai.github.io/author/derek-g.-ma/index.xml" rel="self" type="application/rss+xml"/><description>Derek G. Ma</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://globemindai.github.io/media/icon_hud64ae0b3a8c690d61ac698065b981b5e_467351_512x512_fill_lanczos_center_3.png</url><title>Derek G. Ma</title><link>https://globemindai.github.io/author/derek-g.-ma/</link></image><item><title>Derek G. Ma</title><link>https://globemindai.github.io/author/derek-g.-ma/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://globemindai.github.io/author/derek-g.-ma/</guid><description>&lt;p>Dr. Derek G. Ma is an Assistant Professor at the University of Warwick, specializes in Geo-Engineering and Data Science. His acclaimed interdisciplinary research, meriting a prestigious early career fellowship, focuses on the application of data science to geo-engineering. Honored with the Global Talent awarded by the Royal Academy of Engineering, Dr. Ma has significantly contributed to policy advisory roles with the Welsh Government&amp;rsquo;s Coal Tips Safety Taskforces before moving to his permanent position in Warwick. His expertise further encompasses a key position as a corresponding member of the ISSMGE&amp;rsquo;s TC309 technical committee, dedicated to Machine Learning and Big Data. Dr. Ma is recognized for his innovative research in geohazards, as well as his contributions to consulting and academia, particularly through pioneering work in stochastic computational catastrophe modeling and risk uncertainty quantification.&lt;/p>
&lt;p>His research focuses on multivariate modelling/AI prediction/probabilistic analysis in geoscience, specifically for failure analysis and risk assessment of granular flows, avalanches, and natural hazards. Derek develops robust statistical numerical algorithms through the integration of Computational Statistics and Data Science to quantitatively evaluate the uncertainties of granular flows in heterogeneous materials that exhibit significant randomness.&lt;/p></description></item><item><title>Phoon Kok Kwang</title><link>https://globemindai.github.io/author/phoon-kok-kwang/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://globemindai.github.io/author/phoon-kok-kwang/</guid><description>&lt;p>Dr. KK Phoon is Distinguished Professor and Vice Provost (Academic Personnel), National University of Singapore. He is widely recognized for his work on developing statistical and other data-driven methods to support decision making in geotechnical engineering. His work has influenced recent codes such as ISO2394:2015 “General principles on reliability for structures” and garnered more than 10,000 cites (h-index 47) in Google Scholar. He is the recipient of numerous awards notably the ASCE Norman Medal, the John Booker Medal, and the Humboldt Research Award.&lt;/p>
&lt;p>Dr. KK Phoon is the founding editor of Georisk and serves on the boards of major journals conferences, and societies in his field. He has edited 3 books: Reliability of Geotechnical Structures in ISO2394 (CRC Press/Balkema, 2016; in Chinese 中国水利水电出版社, 2018), Risk and Reliability in Geotechnical Engineering (CRC Press, 2015), and Reliability-Based Design in Geotechnical Engineering (Spon Press, 2008). He was elected Fellow of ASCE in 2008, Fellow of the Institution of Engineers Singapore (IES) in 2009, and Fellow of Academy of Engineering Singapore in 2012. He is a widely sought after lecturer having delivered talks in 26 countries 83 cities around the world, including:&lt;/p></description></item></channel></rss>