Programme

9:00 - 9:30 | Registration

9:00 - 9:30

9:30 - 9:45 | Opening

9:30 - 9:45

Ans Hekkenberg, host of the day

 

 

 

Peter Michielse, CTO SURFsara

 

 

 

Location: Cinema 1

9:45 - 10:30 | Keynote by Pradeep Dubey, Intel Fellow and Director of Parallel Computing Lab at Intel Labs

9:45 - 10:30

AI: Going Beyond Perception

The confluence of massive data with massive compute is unprecedented. This coupled with recent algorithmic breakthroughs, we are now at the cusp of a major transformation. This transformation has the potential to disrupt a long-held balance between humans and machine where all forms of number crunching is left to computers, and most forms of decision-making is left to us humans. This transformation is spurring a virtuous cycle of compute which will impact not just how we do computing, but what computing can do for us. Dubey will discuss some of the application-level opportunities and system-level challenges that lie at the heart of this intersection of traditional high-performance computing with emerging data-intensive computing.

Location: Cinema 1

10:30 - 11:00 | Coffee break

10:30 - 11:00

Location: outside Cinema 1

11:00 - 12:00 | Breakout sessions

11:00 - 12:00
  • Quantum Computing - SURF Open Innovation Lab 
  • Save the Data: Research Data Management 
  • Challenge your Research Infrastructure
  • Digital Innovation

Click on the arrow below to read more about the presentations:

11:00 - 12:00 | Presentations breakout sessions

Quantum Computing

The promises of quantum computing are huge, and the developments towards usable and meaningful quantum computers are going fast. Despite many challenges that are still ahead, SURFsara supports you in taking early and competitive advantage of quantum computing developments and facilities while these become available. We do this in collaboration with partners, in the context of the SURF Open Innovation Lab.

Location: Cinema 1

 

Jorrit van Wakeren (QuTech):

Quantum Inspire: world’s first scalable generic quantum computer platform

Quantum technology will have more impact on society than anyone can imagine, but before the full power of quantum computing becomes available, a lot of smaller steps are needed to achieve this. Jorrit van Wakeren will give you insights in the current state-of-the-art of quantum computing, activities in quantum simulators with SURFsara and future development steps.

 

Frank Phillipson (TNO):

Artificial intelligence towards the quantum era

At this moment various variants of the quantum computer and quantum simulators are being built. One of the promising areas of application is artificial intelligence. Techniques used here are often computationally heavy. Which quantum algorithms are being developed or can be expected in the coming years?

Save the Data: Research Data Management

Location IJ-Lounge

Sharing data in a secure and easy manner is an important aspect for collaborative research projects. This is an area of active development, including tools and infrastructure to support researchers in their data management needs throughout the full data life-cycle. In this session we illustrate this development with 2 interesting case examples. 

Location: IJ-Lounge

 

Renate Mattiszik, Rudy Dokter (Saxion):

Save the Data: How it’s done at Saxion University of Applied Sciences

Renate Mattiszik and Rudy Dokter will take you along the Saxion-journey towards open science. Focus is set on deliverables from a recently completed project on research data management.

 

Cristian A. Marocico (RUG), Monic Hodes (UU):

RDM across universities requires a new approach

Researchers want to share data with colleagues in a safe and easy way within the university but also between universities. Yoda is an RDM infrastructure that is based on the open source technology iRODS. For the SCOOP project, the UU and RUG will transform the existing Yoda and connect it to a RDM infrastructure that can be used seamlessly by researchers from both universities.

Challenge your Research Infrastructure

Some scientific projects pose requirements that push the boundaries of what SURFsara currently has to offer. Together, we have developed tailormade solutions based on generic, scalable components. The gained expertise enhances the quality of all our services for research in the Netherlands.

Location: Room at the top

 

René Tamboer (TU Delft):

Green Village Data of Things

The Green Village is a Living Lab at the TU Delft campus where scientists, companies, government and general public work together on social challenges: renewable energy, circular economy, smart cities. These concepts require radically new connections, combinations of technologies or partners that were never linked before. Insight in the data generated by all individual innovations is the start for solutions.

 

Willem Bouten (UvA)

eEcology: field ecologists inspired by big data

Historically, field ecologists are visually observing species and their behaviour in response to the environment. Inspired by what they see, they gain understanding of and generate hypotheses about the functioning of ecosystems. Technology and big data are now vastly extending the horizon. Dedicated virtual labs help ecologists to exploit new opportunities.

Digital Innovation

For many manufacturers of high-end technical equipment, digital twins and predictive maintenance are of key strategic importance to develop new functionalities and improve performance.
How do we use machine learning to improve medical diagnoses, such as in recognizing cancer tissue? High performance computing offers spectacular new techniques for making these kinds of scientific analyses.

Location: Waterfront

 

Bas Veeling (UvA):

Is There a Cure for Machine Learning?

We now know that machine learning methods outperform human medical experts when evaluated on carefully defined tasks. But when applied in practice, these methods fail in unexpected and harmful ways. In this talk Veeling will discuss major pitfalls of medical machine learning applications, and present the exciting research directions that the research community is exploring to solve these issues.

 

Thomas Geenen (ASML):

Informed decision making using digital twins

A digital twin is a virtual replica of a process, product or service. Digital twin technology bears the promise of allowing us to make informed decisions on industrial assets while they are operational in the field. Driven by models from first principles and empirical models that feed of from field data, AI models can provide scenarios for informed decision making. 

Geenen will give examples of how ASML is using large scale simulation to gain insight into the behavior of their products, and also how that integrates into the design process.

12:00 - 13:00 | Lunch

12:00 - 13:00

Location: outside Cinema 1

13:00 - 14:00 | Breakout sessions

13:00 - 14:00
  • Convergence of machine learning & large scale simulation – SURF Open Innovation Lab
  • AMDEX: towards an internationally trusted exchange of data
  • Modern Cloud
  • A Super Future

Click on the arrow below to read more about the presentations:

13:00 - 14:00 | Presentations breakout sessions

Convergence of machine learning & large scale simulation – SURF Open Innovation Lab

Machine learning algorithms are widely used for e.g. text, image and video classification. High performance computing (HPC) is very important for these advances. But can machine learning also augment, accelerate or replace traditional HPC workloads, such as numerical simulations? In this session we present 2 projects from the SURF Open Innovation Lab program 'Machine Learning enhanced HPC'.

Location: Cinema 1

 

Chiel van Heerwaarden (WUR):

Brace for turbulence

The ceaseless growth in computer power makes weather forecasts increasingly accurate. The next-generation models have a 100 m spatial resolution and will take into account the interaction of wind with objects (buildings, trees) at the surface. This interaction generates turbulence. Van Heerwaarden uses machine learning as a computationally inexpensive way of dealing with the complex structure of turbulence.

 

Sascha Caron (Radboud University Nijmegen):

Can we simulate the most elementary interactions of our Universe with machine learning?

Caron collaborates with experts from SURFsara to explore the development of generative models for particle physics. Can we simulate the interactions of elementary particles with neural networks? Can we construct a network which simulates collisions at the Large Hadron Collider using just noise as an input? How can we use such simulations to find signals of new physics? Caron will introduce the problem, a little bit of particle physics and the first attempts.

AMDEX: towards an internationally trusted exchange of data

An open market for data offers new opportunities for cooperations. Institutions and industry want to operate in a trusted data market allowing controlled data sharing and safe data transactions. The Amsterdam Data Exchange (AMDEX) initiative wants to contribute to the development of secure digital marketplaces as part of a global movement to facilitate data sharing.

Location: IJ-Lounge

 

Cees de Laat (UvA):

Trusted Data Processing in Untrusted Environments

Organizations that normally compete with each other, increasingly see the need to share data to accomplish common goals no single organization can attain on its own. Examples of such use cases can be found in science (life sciences), industry (preventive maintenance, health), and society (smart city, decision support on crowd management).

 

Nanda Piersma (Amsterdam University of Applied Sciences/CWI):

Data sharing can be a new incubator tool for business development

Shared and open data is characterized by its neutral content. But what if we can safely share business sensitive data to benefit all partners? Piersma will discuss some models for added business value with data exchange.

Modern Cloud

Today’s cloud environments offer much more than just virtual machines and online storage services. We will look at the impact of new approaches to architecture design such as serverless computing and container orchestration.

Location: Room at the top

 

Machiel Jansen (SURFsara):

Do we agree? #thecloudistoodamnhard

Wouldn't it be nice if you could submit your code somewhere with the instruction "just run this for me", without having to think about setting up servers, upgrading the OS, scaling out or failing machines? And wouldn't it be nice if you could deploy the possibly complicated ICT architecture you need by a single command? Machiel Jansen will show you how. 

 

Adriënne Mendrik (Netherlands eScience Center):

Collaborating in the Cloud to Enhance Science

Kaggle is one of the most well-known platforms for data science competitions, where algorithm developers compete to solve problems. Although competition can motivate people, some of the most well-known challenges were won when the best teams started collaborating. The EYRA benchmark platform aims to promote collaboration. Modern clouds, such as SURF Research Cloud, might be a way to facilitate this.

A Super Future

This session will highlight the impact of computational methods, simulations and high performance computing on sports aerodynamics research and biomedical applications.

Location: Waterfront

 

Bert Blocken (Eindhoven University of Technology/KU Leuven):

Mathematics, physics and supercomputing: pushing the boundaries in cycling aerodynamics

Blocken presents new phenomena in cycling aerodynamics. These findings have changed the behaviour of professional cyclists but are ignored by the UCI (the world governing body of cycling), which jeopardizes fair play and rider safety. Blocken refers to in-race incidents and includes feedback by pro cyclists and cycling experts.

 

Gábor Zavodszky (UvA):

How do Red Blood Cells and Platelets move in our Arteries?

In the not so near future our first digital twins will be ‘living’ in supercomputers, to help us stay healthy and advise us on how to cure disease. A virtual heart will be pumping virtual blood through virtual arteries, and these models will be able to capture the physiology of the cardiovascular systems and its diseases. Zavodszky describes an important aspect, the modelling of the individual red blood cells and platelets as they flow through our arteries. Details of the model will be discussed and applications of these cell resolved blood flow models for better understanding basic properties of blood, as well as to understand early processes in thrombosis, will be highlighted.

14:00 - 15:00 | IT movie quiz

14:00 - 15:00

There is no better intermezzo than a proper walloping Movie quiz. And that is exactly what will happen. Questions! Answers! Enigmas, anyone? But it's not just your everyday's just around the corner bunch of trivia. It's mental! It's challenging. It's mentally challenging. One half hour of sheer brain racking in a 30 minute questionnaire extraordinaire. Science. Fiction. Science fiction. And Bambi. Brought to you by the nationally acclaimed quizzards of Dial Q. You like film? This is your quiz. You don't? You'll like it even beter. It's free! Bring your frontal lobes and boogie!  

Location: Cinema 1

15:00 - 15:30 | Break

15:00 - 15:30

Location: outside Cinema 1

15:30 - 16:15 | Keynote by Carole Jackson, General & Scientific Director at ASTRON, the Netherlands Institute for Radio Astronomy

15:30 - 16:15

The Universe – the ultimate big data laboratory

These are exciting times for astronomy:  powerful new technologies, systems and data capacity are delivering telescopes capable of pursuing our most fundamental questions of existence and fundamental physics. ASTRON is delivering a major upgrade to LOFAR (the LOw Frequency ARray) and is a partner in the build of the Square Kilometre Array (SKA) telescope. Telescopes such as LOFAR already demand significant processing resources to process astronomical data in near real-time. Jackson will outline how we meet this capability today, and the capacity foreseen as we move into the SKA era.

Location: Cinema 1

16:15 - 16:30 | Wrap-up

16:15 - 16:30

Location: Cinema 1

16:30 - 17:30 | Drinks & bytes

16:30 - 17:30

Location: outside Cinema 1

Latest modifications 17 Dec 2018