The opening of the TUW Center for Artificial Intelligence and Machine Learning (CAIML) took place on Thursday, Dec 2, 2021 with a keynote by Turing Award winner Leslie Valiant and a panel discussion with Gerhard Friedrich, James Larus, Helga, Nowotny, and Paul Timmers. The announcement and details can be found here. Slides, photos, and the video can be found here. The CAIML website is caiml.org.
The 15th ÖGOR Workshop Mathematische Ökonomie und Optimierung in der Energiewirtschaft will take place on September 23 and 24, 2021 at Webster Vienna Private University. You can find the announcement here. Focus areas are optimization, statistical learning, machine learning, AI, open data and open-source tools, and the effects of the corona pandemic on energy modeling.
The MSCA COFUND doctoral program Engineering for Life Sciences (ENROL) with a total volume of 3.25 M€, cofunded by the European Commission, will start in October 2021 and run till September 2026. You can apply for a PhD position here.
A double-degree program between the University of Modena and Reggio Emilia and TU Wien has been signed. It allows selected students to obtain a double PhD degree in applied mathematics and/or information and communication technologies.
The Hannspeter Winter Prize is the annual prize for the best PhD thesis by a female student at TU Wien. Each of the eight departments may nominate at most one candidate, resulting in an interdisciplinary competition.
Congratulations to Leila!
Since her PhD defense in October 2019, Leila is a postdoc in my group Machine Learning and Uncertainty Quantification at the Institute of Analysis and Scientific Computing at TU Wien. Her work focuses on mathematical modeling, analysis, and simulation of stochastic PDE systems with applications in biology, medicine, and physics. Currently she is also working on uncertainty quantification in epidemiological models (applied to COVID-19).
I was kindly asked to serve as a Distinguished International Member on the Academic Board of the PhD Program in Information and Communication Technologies (ICT) at the Department of Engineering Enzo Ferrari of the University of Modena and Reggio Emilia.
The lecture Reinforcement Learning (lecture with tutorial, 101.789 VU Reinforcement Learning, 4h, 6 ECTS) taught by Daniel Pasterk and myself, is now officially part of the curriculum for the MSc degree in Data Science in the module MLS/EX Machine Learning and Statistics – Extension.
Gemeinsam mit Ronald Hochreiter (Webster University), Daniel Huppmann (IIASA), Gerold Petritsch (EVN, ÖGOR) und Leopold Sögner (IHS) organisiere ich den 15. ÖGOR Workshop über Mathematische Ökonomie und Optimierung in der Energiewirtschaft vom 25. bis 26.6.2020 an der Webster University Wien. Offizielle Ankündigung.
I am organizing the minisymposium on Optimization and Model-Free Learning at the SIAM Conference on Mathematics of Data Science (MDS20).
We will organize five workshops at the Erwin Schrödinger Institute (ESI) in Vienna within the thematic program Computational Uncertainty Quantification: Mathematical Foundations, Methodology and Data in spring 2020:
The homepage of the thematic program at ESI is here.
From left to right: Gudmund Pammer, Amirreza Khodadadian, Caroline Geiersbach, Leila Taghizadeh, Benjamin Stadlbauer, Gerhard Tulzer, Clemens Heitzinger. (Not shown: Andreas Buttinger-Kreuzhuber, Gregor Mitscha-Eibl.)