December 4-5, 2018
Held at the University of Wisconsin-Madison
Participants
- Beijing Institute of Technology
- Caterpillar Inc.
- Continental Mapping Consultants
- Eaton Corporation
- Goodyear Tire and Rubber
- Harley-Davidson Motor Company
- Hyper Innovation
- John Deere
- Northwestern University
- NVIDIA
- Oshkosh Corporation
- RAMDO Solutions, LLC
- Simertis GmbH
- U.S. Army ERDC
- U.S. Army TARDEC
- Unitersità degli Studi di Parma
- UW-Madison
Schedule
Check out the schedule for MaGIC 2018 here!
Presentations
Keven Hofstetter (Caterpillar Inc.) – Challenges and benefits of using computer modeling in the product life-cycle at Caterpillar
Kaibo Liu (UW-Madison) – Industrial Big Data Analytics for Quality Improvement in Complex Systems
John Sullivan (Continental Mapping Consultants) – Mapping for autonomous vehicles and the infrastructure they run on
Hammad Mazhar (NVIDIA) – Overview of Issac: NVIDIA’s take on simulation in robotics
Wayne Pferdehirt (UW-Madison) – UW’s Masters degree that helps practicing engineers be big data leaders
Sarah Stevens (UW-Madison) – Overview of Data Science HUB initiatives at UW-Madison
Sandra Bradley (Hyper Innovation) – Opportunities for Industry and University Co-Innovation in Transportation and Mobility
Jim Luedtke (UW-Madison) – Optimizing Design, Planning and Operation Problems with Discrete Decisions Using Integer Programming
Victor Zavala (UW-Madison) – A tutorial overview on decision-making under uncertainty
Dane Morgan (UW-Madison) – On the use of Machine Learning in Materials Science
Nick Gaul (RAMDO Solutions, LLC) – Uncertainty quantification for a deeper understanding of vehicle systems
Dario Mangoni (Università degli Studi di Parma) – Recent developments in ProjectChrono- IGA beams, interior point solver, and deep learning with tensorflow