The M4DT Follow Up&Support Group have decided to organize each last Thursday of the month a broader M4DT activity, the event in which the people who are interested in the digital transformation meet, inviting interested colleagues of the SIM region to a 150 minutes presentation, discussion, and exchange on M4DT topics.
This month, the topic will be related to Metrology for Industry, on Thursday November 30th, 2023 at 15h00 UTC.
Remember
9h00 UTC-5 (Mexico Central Time, Lima , Bogota)
12h00 UTC-3 (Buenos Aires, Rio de Janeiro, Santiago)
Please share this information with your colleagues interested on this topic.
Agenda
| Time (UTC) | Topic | Facilitator |
|---|---|---|
| 14h55 | Connecting | James Fedchak NIST, USA |
| 15h00 | Start of the M4DT Day | |
| 15h05 | Welcome words and introduction to the day | |
| 15h10 | How to ensure trust in virtual experiments and digital twins in metrological applications? | Sonja Schmelter PTB, Germany |
| 15h30 | Q&A / Exchange Presentation 1 | |
| 15h40 | Uncertainty-aware machine learning for metrology | Andrew Thompson NPL, England |
| 16h00 | Q&A / Exchange Presentation 2 | |
| 16h10 | Closing Words & Comments | James Fedchak NIST, USA |
Speakers
Meet our speakers.
We will continue to add speaker details to this page as we get closer to the event.
Sonja Schmelter
PTB - GermanySonja Schmelter holds a degree in mathematics from the Technical University of Karlsruhe, Germany. In 2007, she received her PhD from the Institute of Mathematics at the Technical University of Berlin, Germany. Since then, she has been working in the field of computational fluid dynamics. After her postdoctoral research at the Technical University of Berlin and a stay at Virginia Tech in Blacksburg, VA, USA, she joined the German Metrology Institute PTB in 2010 as a researcher in the department "Mathematical Modelling and Data Analysis". Since 2022, she is head of the working group "Modelling and Simulation" focussing on mathematical modelling and numerical simulation of metrological applications, uncertainty quantification and virtual metrology, as well as machine learning and data-driven modelling.
Currently, she is coordinating the project "Trustworthy virtual experiments and digital twins" (ViDiT) funded by the European Partnership on Metrology.
Andrew Thompson
PTB - GermanyAndrew Thompson is a Senior Scientist in the Data Science Department at the National Physical Laboratory (NPL), the UK national measurement institute. He co-leads the work on artificial intelligence, and he has a particular interest in uncertainty evaluation for machine learning (ML). He has worked on uncertainty-aware ML in various metrology applications, including thermometry, battery state-of-health modelling and chemical profiling.
James Fedchak
NIST - USAJames Fedchak received his Ph.D. in Experimental Atomic and Molecular Physics from the College of William and Mary in Virginia in 1994. Before joining the National Institute of Standard and Technology (NIST) in 2003, he briefly worked in the photonics industry after holding post-doc positions at Argonne National Laboratory developing spin-polarized deuterium targets for nuclear collision experiments, and at the University of Wisconsin, studying ion spectroscopy related to laboratory astrophysics. Between 2007 and 2019, he led the vacuum project at NIST, where he worked to modernize NIST’s calibration services in low gas-flow and vacuum gauges and launched a program to build a cold-atom vacuum standard (CAVS), which is a primary standard for realizing UHV and XHV pressures, and he initiated a program for measuring gas absorption and desorption of materials. He participates in the Consultative Committee for Mass and Related Quantities Working Group on Pressure and Vacuum of the Bureau international des poids et mesures (BIPM). In 2019, he took on a new role at NIST as the Associate Director for Measurement Services and has become involved in the world-wide effort for the digital transformation of metrology, representing NIST on the SIM (Inter-American Metrology System) Technical Committee for the Digital Transformation of Metrology (MWG-14 M4DT) and the IMEKO Technical Committee for Digitalization, TC6.