João Alves

João Alves is a professor of Stellar Astrophysics and researchers on the origins of stars and planets. He has developed a new technique to trace density and mass distribution inside giant molecular clouds, the nurseries of star and planet formation, and is a leader on the structure of stellar embryos and the origin of the observed distribution of stellar masses in the Universe. He has co-authored more than 170 papers in peer-reviewed journals that have amassed more than 10000 citations. João Alves did his PhD thesis work at the Harvard-Smithsonian Center for Astrophysics in Cambridge, Massachusetts. He moved in 1999 to Germany to become a European Southern Observatory (ESO) Fellow to Garching. In 2001 he became ESO staff and Head of Visiting Astronomers Section in 2003, where he was in charge of managing the scientific evaluation of ESO proposals and time allocation. In 2006 he moved to Southern Spain to take the directorship of the Max-Planck - CSIC German-Spanish Astronomical Center in Calar Alto. Since 2010, he is full professor for Stellar Astrophysics at the University of Vienna and currently the Dean of the Faculty of Earth Sciences, Geography and Astronomy. He involved in the visualization of the European ESA Gaia satellite mission and in the data simulation from the planned European Extremely Large Telescope (ELT).

Tara Andrews

Tara Andrews became University Professor of Digital Humanities at the Institute for History in 2016. With a Bachelor of Science in Humanities and Engineering from the Massachusetts Institute of Technology (1999), and the degrees of Master (2005) and Doctor (2009) of Philosophy in Byzantine and Armenian studies from the University of Oxford, her dual scientific training as well as her professional experience in the software industry has provided valuable and rare perspectives on the use of digital and computational methods in humanities domains. Andrews’ fields of expertise include the history and historiography of the Christian Near East in the tenth to twelfth centuries, the application of computational and statistical methods for reconstruction of the copying history of ancient and medieval manuscripts (stemmatology), and reflection on the implications of employing digital media and computational methods in humanities contexts. She has been invited to give keynote presentations at both academic and industry conferences, has contributed to both the Armenian-source content and the technical maintenance of the online “Prosopography of the Byzantine World”, has edited or co-edited two collections of papers on the subject of software and computational analysis in textual studies, and has published several journal articles as well as a monograph on topics that cover both medieval Armenian history and digital scholarly practice. Her scientific output also extends to research software, most notably the ‘Stemmaweb’ suite of online tools for analysis of text variants and their associated stemma hypotheses, but also including a range of smaller tools whose source code has been released to the public on Github.

Immanuel Bomze

The research interests of Immanuel Bomze are in the areas of nonlinear optimization, qualitative theory of dynamical systems, game theory, mathematical modelling and statistics, where he has edited one and published four books, as well as over 100 peer-reviewed articles in scientific journals and monographs. Around the turn of the millennium, he coined, together with his co-authors, the now widely used terms “Standard Quadratic Optimization” and “Copositive Optimization” or “Copositive Programming”. Among the manifold applications of this approach are all (fractional) polynomial mixed-integer, and therefore also most Combinatorial optimization problems, which in turn can be used in Analytics, Data Mining and Machine Learning, to name but a few.

In 2014 Bomze was elected Fellow of EurOpt, the Continuous Optimization Working Group of the Association of European Operational Research (EURO), for which he currently serves as President-Elect and 2019-20 as the President. In 2016 he co-founded the Vienna Center of Operations Research (VCOR) for which he currently serves as a co-director. As a member of program and/or organizing committees, he co-organized various scientific events and he is an Associate Editor for six international journals. For over ten science foundations and councils and for almost 50 scientific journals he acted as a reporting referee. 2011-2017 he served as Co-Editor in Chief of the European Journal of Operational Research, one of the worldwide leading journals in the field.

Radu Bot

Radu Bot is an expert on nonsmooth optimization. His research interests include theoretical investigations of optimization problems from both continuous and discrete perspectives, in particular their relation to the monotone operator theory, and the design, development and convergence analysis of numerical algorithms for solving nonsmooth and nonconvex optimization problems, mainly motivated by real-life applications. He heads the group on Applied Mathematics and Optimization. He is co-author of a monograph on vector optimization and of a book on duality in convex optimization, both published at Springer, and of 136 peer-reviewed research articles out of which 113 are published in journals and proceedings volumes indexed in the ISI Web of Science. He was principal investigator in several research projects funded by the German Research Foundation and the German Federal Ministry of Education and Research and is currently principal investigator for standalone research projects and is member of the Vienna Graduate School on Computational Optimization funded by the Austrian Science Fund. He was also involved in cooperation related to data-driven research with German industrial companies. He has given numerous invited and plenary talks at international conferences, has given invited lecture series, has had research stays and has been a member of doctoral and habilitation committees at universities in Austria, France, Germany, Poland, Sweden, and Romania. He serves as Associate Editor for several research journals in the areas of applied mathematics and optimization, including the Journal of Optimization Theory and Applications, Optimization Letters, Applied Mathematics and Computation, and the prestigious SIAM Journal on Optimization. Currently, he is the Speaker of the Vienna Doctoral School “Mathematics”.

Karl Dörner

Karl Dörner is professor of business administration with a focus on production and logistics at the University of Vienna. He is an expert in the development of meta- and matheuristic search techniques and multi-agent systems for complex problems in production and logistics. His research focuses on problems in distribution logistics, integrated problems in supply chain management, inventory routing, production routing, and disruption management. He has co-authored more than 70 peer-reviewed scientific publications (more than 40 papers in peer-reviewed journals) mainly in the field of transportation logistics. He serves as area editor for distribution logistics in the journal flexible services and manufacturing systems. Dörner received his doctoral degree from the University of Vienna in 2001. From 2000 to 2007 he joined the department of business administration at the University of Vienna. From 2007-2008 he was senior researcher at Salzburg Research, from 2008-2009 substitute professor at the University of Hamburg, 2009-2010 assistant professor at the University of Vienna. 2011-2014 head of the institute for production and operations management at the Johannes Kepler University Linz. Since 2013 he is also the head of the Christian Doppler laboratory on efficient intermodal transportation located at the University of Vienna.

Philipp Grohs

Philipp Grohs received a Master's degree in Mathematics from the Technical University of Vienna in 2006 and a doctoral degree in Applied Mathematics from the Technical University of Vienna in 2007. From 2011 to 2016 he was a (non-TT) Assistant Professor at ETH Zurich and since 2016 he is an Associate Professor of Mathematics at the University of Vienna. His research interests are in Signal Processing, Numerical Analysis, Computational Harmonic Analysis, Machine Learning and Computational Geometry. Recently he has made important contributions towards an understanding of deep learning algorithms. His research has been disseminated in the form of more than 50 articles in the highest rated journals in the fields of applied mathematics and machine learning. He has given several invited addresses; recent highlights include a keynote address at the Deep Learning Workshop 2017, a plenary address at the Curves and Surfaces conference 2018, and a semi-plenary address at the highly prestigious FoCM2017 conference. He is co-organizer of several workshops, among them an Oberwolfach workshop on Nonlinear Data which will be held in 2018. In 2014 he became the first mathematician in 30 years to receive the interdisciplinary ETH Latsis Prize. Since 2017 he serves on the editorial board of the IEEE Transactions on Information Theory.

Nikolaus Hautsch (co-speaker)

Nikolaus Hautsch is Professor of Finance and Statistics at the University of Vienna since 2013. He is an expert on financial econometrics and the analysis of high-frequency data. His research focuses, among others, on the estimation of asset return volatility and highdimensional covariance matrices using high-frequency data, empirical market microstructure analysis, systemic risk in financial networks and statistical techniques for risk management. He wrote and co-edited several books and publishes in leading journals in the area of finance, econometrics and statistics. Hautsch is elected fellow of the Society for Financial Econometrics, and research fellow of the Center for Financial Studies (CFS), Frankfurt. He serves on the editorial board of several leading academic journals. Hautsch had visiting positions at the University of Technology, Sydney, the University of Melbourne, the Université Catholique de Louvain, the University of Cambridge, and Duke University. He co-organized a number conferences in the area of financial econometrics, and served on many program committees. He acquired several research grants, and participated in a number of externally funded research networks. Hautsch received his Ph.D. in 2003 from the University of Konstanz. From 2004 to 2007 he joined the Department of Economics of the University of Copenhagen. Until 2013 he held the Chair of Econometrics at Humboldt University Berlin and was director of the Berlin Doctoral Program in Economics and Management Science.

Hannes Leeb

Hannes Leeb is developing and analyzing statistical methods based on model-selection and shrinkage-type estimators, with a particular focus on scenarios where the sample size is small in relation to the number of parameters in the data-generating process. His results have been published in top tier statistics journals,  including the Annals of Statistics, The Journal of The Royal Statistical Society Ser. B., and The Journal of The American Statistical Association. Also, he has been invited to present his results at numerous international conferences like the Joint Statistical Meetings, the IMS Annual Meetings, or the Sessions of the International Statistical Institute. He has co-organized the Vienna workshops on model selection and related problems, in 2008 and 2011.

Torsten Möller (speaker)

Torsten Möller is an expert on visual data analysis and has been investigating the visual exploration of data-driven und computational models for nearly a decade. He has been given several keynote talks on this issue and has a number of highly cited papers on the issue. He heads the research group on Visualization and Data Analysis. He served as the appointed Vice Chair for Publications of the IEEE Visualization and Graphics Technical Committee (VGTC) between 2003 and 2012. He has served on a number of program committees and has been papers co-chair for IEEE Visualization, EuroVis, Graphics Interface, and the Workshop on Volume Graphics as well as the Visualization track of the 2007 International Symposium on Visual Computing. He has also co-organized the 2004 Workshop on Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration as well as the 2010 Workshop on Sampling and Reconstruction: Applications and Advances at the Banff International Research Station, Canada. He is a co-founding chair of the Symposium on Biological Data Visualization (BioVis). In 2010, he was the recipient of the NSERC DAS award. He received best paper awards from IEEE Conference on Visualization (1997), Symposium on Geometry Processing (2008), EuroVis (2010), and ACM Intelligent User Interfaces (IUI, 2016), as well as two second best paper awards from EuroVis (2009, 2012). In 2016 he received the Teaching Award from the University of Vienna.

Claudia Plant

Claudia Plant is an expert in knowledge discovery from databases and data mining. Her recent research areas are information-theoretic approaches to exploratory data analysis, high-performance data mining supported by modern hardware such as graphic processing units and data mining in the context of biomedical applications. She has been contributing many papers to selective data mining conferences, among them over 25 papers presented at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining and at the IEEE ICDM International Conference on Data Mining which are the top-level conferences of the field. She received the Best Paper Award of the ICDM 2014 conference and has two further Best Paper Awards (IGI Global, ICDM biomedical workshop). The results of interdisciplinary projects with experts from biology, medicine, neuroscience and environmental sciences have been published in the leading application-related journals, e.g. Cerebral Cortex and Water Research. From 2009 to 2011 she has been organizing the workshop “Database Technology for Life Science and Medicine” in conjunction with Int. Conf. for Database and Expert Systems Applications. In 2013 she received a Helmholtz Young Investigators Grant which is a highly selective program of the German Helmholtz Association providing funding of 1.5 Mio. € for an independent research group.

Stefanie Rinderle-Ma

Stefanie Rinderle-Ma is full professor and head of the research group Workflow Systems and Technology at the Faculty of Computer Science. Her expertise is on process-oriented information systems, business intelligence, and compliance and security in process-aware applications. Stefanie has co-authored the book on Fundamentals of Business Intelligence (together with W. Grossmann) which has been downloaded approx.. 24.000 times since 2015 7 . In her research, Stefanie has focused on advanced process mining techniques and data quality and integration techniques for various applications. This work was funded by several projects, for example, a cluster project with the Medical University of Vienna on process mining and compliance in skin cancer treatment as well as an FFG-funded project on process mining in smart grid environments. In addition to these application areas Stefanie has gained expertise in Industry4.0 and Cyber-Physical Systems based on, for example, the FP7 EU project ADVENTURE on process-oriented manufacturing networks. Moreover, she participates as research partner in the recently started Comet Center for Digital Production (CDP).

Wolfgang Schmale

Wolfgang Schmale is professor for modern and contemporary history with a digital-humanities research focus. Since the 1990s he has conducted a couple of digital projects based on research and e-learning projects, including development of a content management system such as “hypertextcreator”. The current database “” which was the outcome of a transdisciplinary research project in history and art history is matter of discussion with Google Cultural Institute for automatic picture tagging. Schmale has contributed to the theory of digital humanities through a monograph (Digital History, 2010, in German) and an article collection (ed., Digital Humanities, 2015), not to mention keynotes, review articles and earlier achievements such as “E-Learning Geschichte” (2007).