• Thursday, June 9, 2016 - 02:00
  • Wayne State University
  • USA

Advanced methodologies for effective data-driven optimization

ESTECO Academy is proud to co-organize with the CInDI Lab. the workshop on Advanced methodologies for effective data-driven optimization to be held on June 9th 2016 at the Wayne State University. 

The focus of the workshop is to discuss and explore the use of latest numerical optimization techniques to study, design and optimize product models involving big amount of data. Nowadays, the combination of simulation models able to capture the physical phenomena charachterizing complex beahviors with advanced optimization strategies techniques offers enormous potentials for detailed analysis and virtual prototyping.

The workshop will be held at the Computational Intelligence and Design Informatics (CInDI) Laboratory of Wayne State University (Engineering Development Building*) with the support of ESTECO Academy. The schedule of the workshop includes, scholar and technical presentations on various optimization cases, given by Wayne State Professors and Researchers, Prof. Enrico Nobile from the University of Trieste (Italy) and the guest speakers from Ford Reasearch and Advanced Engineering.

The workshop will also include the training session(*) on modeFRONTIER during the afternoon.




8.00 AM Registration and welcome coffee
8:30 - 8:45 AM​ Prof. Kim | Opening and presentation of the Computational Intelligence and Design Informatics (CInDI) Laboratory
8:45 - 10:00 AM​ CInDI Lab presentations
Kyoung-Yun “Joseph” Kim, Ph.D
Data driven design decision support for joining processes
Md. Tarique Hasan Khan
Spatiotemporal modeling for assembly process planning
Fahim Ahmed
Data-driven semantic weldability prediction
10:00 - 10:30 AM  Seminar > prof. Enrico Nobile - University of Trieste (Italy)
> The Multi-disciplinary optimization approach to product design
> RSM-based Optimization: “Shape optimization a real-life
example of a pump”
10:30 - 11:00 AM Cofee Break
11:00 -12:00 AM

Industry perspective #1 > Zhendan Xue, Ph.D - ESTECO
> FOCUS ON: MVA analysis for problem complexity handling Effective Decision Making and Data Visualization Using Partitive Clustering and Principal Component Analysis (PCA) for High Dimensional Pareto Frontier Data
> FOCUS ON: Response Surface Methodologies based optimization formulations for high-dimensional data Multidisciplinary Design Optimization of Vehicle Weight Reduction

12:00 -12:30 PM ESTECO Academy membership > program presentation
12:30 -1:30 PM Lunch
1:30 -2:30 PM Industry perspective  #2 > Hongyi Xu from Ford Research and Advanced Engineering
Application of data mining methods in direct and RSM-based optimization
3:00 -6:00 PM Hands-on workshop > modeFRONTIER @Simulation Lab. (Rm. 2060), Manufacturing Engineering building*




Admission is free > registration required