|12:30||Event open for login|
|13:00||Welcome by Richard Boucherie|
|13:15||‘Weapons of math deduction: How fundamental research can solve industry problems’ |
Keynote speaker Stella Kapodistria
|14:15||Connect and network (breakout rooms)|
|14:45||Finalists Daniel Gomon, Irene Kuin and Maaike Vollebergh pitch their theses|
|16:00||Connect and network (breakout rooms)|
|16:30||Best Thesis in Applied Math Award ceremony|
|17:30||End of event|
Now open for registration: the first Dutch Math Community Event
On September 1st 2021 the Innovation Committee of the Dutch Platform for Mathematics organises its first Math Community Event. With Stella Kapodistria as keynote speaker, the grande finale of the Best Thesis in Applied Math Award en ample opportunity for networking. This event will be online.
Stella Kapodistria is assistant professor in the Department of Mathematics and Computer Science, Eindhoven University of Technology, where she is part of the Stochastics operations section. In her key note speech “Weapons of Math deduction” she will explain how fundamental research can solve industry problems.
During the grande finale of the Best Thesis in Applied Math Award three finalists present their theses after which the jury will select the winner. More about the Thesis Award.
And in two rounds of breakout sessions participants will be able to get connected with like-minded people, share ideas and get inspired. Of course we will end this event with virtual closing drinks.
Registration fee is €15. Participants registering before August 1st will receive an eventbox with refreshments ahead of the event.
This event is hosted by VORtech
Keynote speaker: Stella Kapodistria
With great pleasure and pride we announce Stella Kapodistria will be our keynote speaker at the first Dutch Math Community Event on September 1st. During this online event she will explain how fundamental research can solve industry problems. Stella Kapodistria is assistant professor in the Department of Mathematics and Computer Science, Eindhoven University of Technology, where she is part of the Stochastics operations section.
Stella’s work centers around “learning how to make optimal decisions without human intervention based on a trove of data”. The learning pertains to the discovery of the true underlying model/system from the data -exploration, whilst the optimization pertains to the discovery of optimal decision making -exploitation. With her work, Stella, on the one hand, extends the mathematical framework typically used in this field, by creating state-of-the-art hybrid methods which rely on both model-based approaches and AI/ML data-driven approaches. She envisions to create a full solution for automated unsupervised holistic decision-making, that can be used to determine (based on a trove of data) when and what action should a decision maker undertake and assess under this decision the performance of the system. On the other hand, she creates real time off-the-shelf-ready-to-use solutions that can be directly implemented by the industry.
She participates in the Networks Gravitation (NWO-Zwaartekracht) project, an NWO funded initiative to build self-organizing and intelligent networks by using algorithms and stochastics. She is also part of the DeSIRE research program on resilient engineering funded by the 4TU-call “High Tech for a Sustainable Future” and she is in the think-tank of the newly established 4TU center on Resilience Engineering. She is a co-applicant in the PrimaVera (NWA-ORC) project, the Real-time data-driven maintenance logistics (NWO – “Big Data: real time ICT for logistics”) project, and the DAISY4OffShore (TKI Wind op Zee) project. She is on the editorial board of the Probability Engineering and Information Sciences journal and guest editor for the Annals of Operations Research journal.
More information on Stella’s scientific work can be found here.