Mechanical and Civil Engineering Seminar
Online Event
Modeling and Simulation Tools for Industrial and Societal Research Applications: Digital Twins and Genome-based Machine-learning
Tarek Zohdi,
Professor,
Department of Mechanical Engineering, Chair of the Designated Emphasis Program in Computational and Data Science and Engineering Associate, Dean for Post Baccalaureate Programs in the College of Engineering,
UC Berkeley,
Abstract:
A variety of seemingly disparate physical process can be treated with similar modeling and simulations tools. In this talk, I discuss the modeling and rapid digital-twin simulation of
PART 1: MODELING OF ROBOTIC MACHINE-LEARNING FOR ADVANCED MANUFACTURING
PART 2: MODELING OF LASER AND OPTICAL PROCESSING OF MATERIALS
PART 3: MODELING OF MULTIPHYSICAL SOLID PROCESSING AND CONTINUUM BEHAVIOR
PART 4: MODELING OF IGNITION, FIRE PROPAGATION AND EMBER FLOW
PART 5: MODELING OF MULTIPLE UNMANNED AERIAL VEHICLES FOR COMPLEX TASKS
PART 6: MODELING OF INDUSTRIAL SAFETY: PANDEMICS, TRANSMISSION, DECONTAMINATION,
as well as aspects of genomic/evolutionary computing for system optimization, utilizing multiphysics paradigms. The tools range from discrete element methods, computational optics, voxel-based computation to agent-based modeling-all connected together via machine-learning algorithms. For more information see https://cmmrl.berkeley.edu/zohdi-publications/
https://caltech.zoom.us/j/85616294518?pwd=dS9vNHA1N0s5aEIwcGVwdGQyVUFUUT09
Passcode: 458954
For more information, please contact Sonya Lincoln by phone at (626) 395-3385 or by email at [email protected].