Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology

An IACM Conference

September 26-29, 2021 - Hyatt Regency Mission Bay, San Diego, CA

Objectives

Machine Learning (ML) and Digital Twins (DT) are at the heart of today’s different industries, ranging from advanced manufacturing to biomedical systems to resilient ecosystems, civil infrastructures, smart cities, and healthcare. They have become indispensable for solving complex problems in science, engineering, and technology development. The purpose of the MMLDT-CSET 2021 conference is to facilitate the transition of ML and DT from fundamental research to mainstream fields and technologies through advanced data science, mechanistic methods, and computational technologies. This 3-day conference features technical tracks of emerging ML-DT fields and applications, special public lectures, short courses, and demonstrations.

Vision

The goal of this MMLDT-CSET Conference is to bring together the diverse communities that are interested in learning, developing, and applying mechanistic machine learning and digital twins via computational science and engineering tools to a broad range of engineering and scientific problems, and to promote collaborations between engineers, data and computer scientists, and mathematicians from federal agencies, academia, and industry in this field.

Conference Topics

  • Track 1: Multiscale Materials and Engineered Systems
  • Track 2: Multi-Modal Generation of Big Data for Machine Learning
  • Track 3: Scientific and Engineering Digital Twins
  • Track 4: Advanced Manufacturing and Design Optimization
  • Track 5: Bio- Systems, Medical Devices, and Mechanistic ML Enhanced Diagnostics
  • Track 6: Reduced-order Modeling for Fluids, Solids, and Structures
  • Track 7: Injection of Mechanistic ML on Co-Design in High-Performance Computing
  • Track 8: Geosystem, Geostatistics, and Petroleum Engineering
  • Track 9: Data Centric Earthquake Engineering and Performance-based Design
  • Track 10: Infrastructure and Cyberinfrastructure Systems
  • Track 11: Technology Transfer for Innovative Scientific and Engineering Applications
  • Track 12: Mechanistic ML for the Ecosystem: Environment, Smart City, and Healthcare
  • Track 13: Education, Outreach, and Funding Opportunities
UC San Diego, Department of Structural Engineering, 9500 Gilman Dr MC 0085, La Jolla, CA 92093-0085
Copyright (C) Regents of the University of CaliforniaAll Rights Reserved