The speakers of Super Day 2018
Ans Hekkenberg, writer for New Scientist NL and former head of communications at Centrum Wiskunde & Informatica (CWI), is a passionate science communicator. She has a background in (astro)physics and science communication, and she is infectuously enthousiastic about natural sciences. You can find her on Instagram and Twitter as @GirlForScience.
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Keynote: AI - Going Beyond Perception
Dr. Pradeep Dubey
Pradeep Dubey is an Intel Fellow and Director of Parallel Computing Lab (PCL), part of Intel Labs. His research focus is on defining computer architectures that can efficiently handle emerging machine learning/artificial intelligence, and traditional HPC applications for data-centric computing environments. Dubey previously worked at IBM's T.J. Watson Research Center, and Broadcom Corporation. He has made contributions to the design, architecture, and application-performance of various microprocessors, including IBM® Power PC*, Intel® i386TM, i486TM, Pentium® and Xeon® line of processors. He holds 36 patents, has published over 100 technical papers, won the Intel Achievement Award in 2012 for Breakthrough Parallel Computing Research, and was honored with Outstanding Electrical and Computer Engineer Award from Purdue University in 2014. Dr. Dubey received a PhD in electrical engineering from Purdue University. He is a Fellow of IEEE.
-- 15:30-16:15 --
Keynote: The Universe – the ultimate big data laboratory
Professor Carole Jackson
Professor Carole Jackson is general & scientific director of ASTRON, the Netherlands Institute for Radio Astronomy. She built her career in industry before moving into astronomy. She completed her PhD at Cambridge University in 1997, then relocated to Australia where she held key roles in Australia’s endeavours towards the international Square Kilometre Array (SKA) project. Prof. Jackson research interests are in extragalactic radio astronomy and technology leadership through innovative instrumentation and industry partnerships.
-- 11:00-12:00 --
Session: Quantum Computing
Jorrit van Wakeren
Ir. Jorrit van Wakeren studied industrial design engineering at the University of Delft. He managed several multi-million projects for industries like Semicon, Space Science and Earth Observation. He currently is responsible for the development and launch of world’s first scalable generic quantum computer platform based on silicon spin qubits.
(Foto Marieke de Lorijn)
Dr. Frank Phillipson is senior scientist at TNO. Together with the project team within TNO he studies applications and algorithms for near future use on quantum computers and quantum simulators. He studied econometrics and mathematics and has a PhD in applied mathematics.
Session: Save the Data - Research Data Management
As data librarian at Saxion Mattiszik’s experience as an information and metadata specialist is deployed to help researchers tackle the new field of RDM. Her fascination with open science, RDM, and metrics for measuring research impact comes in handy in the world of research support.
Rudy Dokter is business information manager at Saxion Research Services, a newly developed “One-Stop-Shop” dedicated to research support. His guiding principles in a nutshell? Open science! As a former developer and information architect he has over 25 years IT-experience.
Cristian Marocico is by training a physicist, and is currently working at the Center for Information Technology, University of Groningen, as high performance computing expert, data scientist, and UG-project coordinator for SCOOP-IT, with a strong interest in research data management.
Monic Hodes is the Utrecht University projectmanager for SCOOP-IT. She is an experienced manager specialized in interim- and project management and organizational change. The main areas of focus are research data management, ICT and business operations. Connecting and creating are keywords to achieve a professional and successful collaboration.
Session: Challenge your Research Infrastructure
René Tamboer studied mechanical engineering at the Delft University of Technology. After graduation he has always worked on the interface between research, innovation, education, and industry. Since 2014 he is part of the team that facilitates research and innovation at The Green Village.
Willem Bouten is professor in Computational Geo-Ecology at the Institute of Biodiversity and Ecosystem Dynamics (UvA). With his multi-disciplinary background and world-wide collaborations he promotes and facilitates big-data and computationally intensive ecological research, what he calls “e-Ecology”.
Session: Digital Innovation
Bas Veeling is a PhD student machine learning in the group of Max Welling at the University of Amsterdam. He has previously interned at Google Research and Philips Healthcare. He explores fundamental machine learning methods for medical image analysis, with a focus on model uncertainty and representation learning.
Currently a value stream manager for Simulation and the Advanced Data Analytics Lab @ASML, Thomas Geenen previously worked at the national Dutch HPC center and owned his own consultancy startup in the area of large scale application optimization and acceleration. He graduated in 1998 from Utrecht University and worked as a PhD student and research fellow at the same university afterwards.
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Session: Convergence of machine learning & large scale simulation – SURF Open Innovation Lab
Chiel van Heerwaarden
In his research in meteorology at Wageningen University, Chiel van Heerwaarden uses 3D simulation to acquire a deeper understanding of atmospheric turbulence and cloud formation, and their role in weather and climate. More info: https://chiel.ghost.io
Sascha Caron is associate professor at the Radboud University Nijmegen and a senior researcher within the Nikhef consortium. He is a leading researcher at the ATLAS experiment at CERN. He also works on phenomenology, astrophysics and the application of machine learning methods to particle physics. He is a principal investigator of several e-science related projects, which aim to search for dark matter and other signals of new physics with the help of machine learning.
Session: AMDEX - towards an internationally trusted exchange of data
Cees de Laat
Prof. Cees de Laat chairs the System and Network Engineering laboratory at the University of Amsterdam. His work focusses on the developments of high performance networks and secure trusted distributed data processing systems. More info at: http://delaat.net/
Nanda Piersma is professor of applied sciences in Urban Analytics at the Amsterdam University of Applied Sciences and Centrum Wiskunde & Informatica. The Urban Analytics group researches how organizations in the city can gain better insights from their data through data analysis, algorithms and business analytics.
Session: Modern Cloud
Dr. Machiel Jansen heads the Scalable Data Analytics group at SURFsara. Before joining SURFsara in 2007 he worked at two companies on information retrieval and natural language processing. In 2003 he obtained a PhD in the field of knowledge engineering.
Dr. Adriënne Mendrik is manager at the Netherlands eScience center. She has extensive experience with organizing challenges for medical image analysis and chairing challenge workshops at international conferences. Together with Mary Hester (SURF), she leads the EYRA benchmark platform project.
Session: A Super Future
Bert Blocken is a civil engineer and full professor in the department of the Built Environment at Eindhoven University of Technology in the Netherlands and part-time full professor in the department of Civil Engineering at KU Leuven in Belgium.
Dr. Gábor Závodszky graduated as a physicist and obtained his PhD in 2015 in the topic of biomedical fluid dynamics. He is currently a postdoc at the Computational Science Lab of the University of Amsterdam, where he plays a role in several ongoing international projects. He is one of the main developers of HemoCell, the open-source HPC blood flow simulation code.