Description: What the challenges and opportunities of Digital Twin innovation and research? This webinar brings together five experts to introduce their experiences with 5G network, sustainability & intelligence, agriculture, knowledge discovery and building structures. They will also highlight the opportunities and challenges encountered in their projects.
Registration: https://gmu.zoom.us/meeting/register/tJ0vfu6sqz8uGtJOm4wjzEIBP5R-7prZeTM5
Moderators: Dr. Benjamin Lewis, Dr. Qunying Huang, and Dr. Mengxi Zhang
| Tuesday, April 30, 2024 | |||||
| Begin | End | Agenda | Content | ||
| 10:30 AM | 10:50 AM | Keynote & QA, Tony Duarte, Heavy.AI, “5G Network Digital Twins” | Notes Recording Presentation | ||
| 10:50 AM | 11:10 AM | Speaker: Ruichuan Zhang, Associate Professor at Virginia Tech, “Enhancing Building Sustainability and Intelligence with Machine Learning and Digital Twins” | Notes Recording Presentation | ||
| 11:10 AM | 11:30 AM | Speaker: Yi Wang, Associate Professor at the University of Wisconsin-Madison, “Using AI-driven Digital Agriculture Techniques to Improve Vegetable Production Sustainability” | Notes Recording Presentation | ||
| 11:30 AM | 11:50 AM | Speaker: Alex Liu, CEO of RMDS Lab, “Digital Twins as Accelerators of Knowledge Discovery” | Notes Recording Presentation | ||
| 11:50 AM | 12:10 PM | Speaker: Petros Koumoutsakos, Professor of Engineering and Applied Sciences at Harvard, “Digital Twins: Lessons from Successes and Failures” | Notes Recording Presentation | ||
| 12:10 PM | 12:30 PM | Panel Discussion, Q&As | Notes Recording | ||
Speakers Bios/Talk Previews:
Tony Duarte: Telcos plan to deploy over 17 million 5G microcells and towers worldwide by 2025. Optimizing and managing new and existing infrastructure while maximizing customer experience is increasingly complex. In this session, you will learn how HEAVY.AI built an AI-accelerated application framework on NVIDIA Omniverse that enables telcos to develop physically accurate, interactive digital twins to plan, build, and operate 4 and 5G networks at nationwide scales.
Ruichuan Zhang: Dr. Zhang holds a Ph.D. in Civil Engineering with Computational Science and Engineering concentration from the University of Illinois Urbana-Champaign. He holds Master’s degrees in Civil Engineering and Computer Science from the University of Illinois Urbana-Champaign and a Bachelor’s degree in Management Science and Engineering from the Central University of Finance and Economics. He worked at the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign and Amazon Web Services before joining Virginia Tech.
Yi Wang: Dr. Yi Wang is an Associate Professor in the Department of Plant and Agroecosystem Sciences at the University of Wisconsin-Madison with a research focus on precision agriculture. The goal of Yi’s research and extension program is to conduct science-based applied research and collaborate with the vegetable growers and processors to improve the resource use efficiency and sustainability of vegetable cropping systems in Wisconsin.
Alex Liu: Dr. Alex Liu is CEO of the RMDS Lab, a data and AI ecosystem service provider. From 2013 to 2019, Alex was one of the data science thought leaders and a distinguished data scientist at IBM where he served as a Chief Data Scientist for analytics services. Before he had joined IBM, Dr. Liu worked as a chief data scientist for a few companies including Retention Science and iSKY. Previously, Dr. Liu taught advanced quantitative methods to PhD candidates in the University of Southern California and the University of California at Irvine, and he consulted for many well-known organizations such as the United Nations and Ingram Micro. Alex has a MS of Statistical Computing and a PhD of Sociology from Stanford University.
Petros Koumoutsakos: Petros Koumoutsakos is Herbert S. Winokur, Jr. Professor of Engineering and Applied Sciences, Faculty Director of the Institute for Applied Computational Science (IACS) and Area Chair of Applied Mathematics at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). His research interests are on the fundamentals and applications of computing and artificial intelligence to understand, predict and optimize fluid flows in engineering, nanotechnology, and medicine.