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2017 CERN openlab Summer Student Programme comes to a close

Cern OpenLab News - Mon, 16/10/2017 - 10:54
Monday, 16 October, 2017

The final students participating in the 2017 CERN openlab Summer Student Programme recently left CERN. 37 students — representing 22 different nationalities — took part in this year’s programme.  They each spent nine weeks at CERN, working on advanced computing projects with applications in high-energy physics and beyond.

As part of the CERN openlab Summer Student Programme, the students attended a series of lectures given by IT experts on advanced CERN-related topics and had the opportunity to visit the CERN facilities and experiments, as well as other organisations.


Educational excursions

This year, the students went on a two-day trip to Zurich, where they visited Google, ETH Zurich, and Open Systems. As with the previous six years, this trip was organised by the team at Open Systems, who have been awarded the status of ‘CERN openlab associate member’. “We are very pleased to welcome Open Systems to our collaboration in recognition of their fantastic support for our educational activities,” says Alberto Di Meglio, head of CERN openlab.

"It is a great honour for Open Systems to be part of the CERN openlab family,” says Florian Gutzwiller, the company’s founder. “Hosting the summer students at our Zurich headquarters has become a genuine highlight for everybody at Open Systems. The diversity and talent that the CERN openlab Summer Student Programme attracts from all over the world never ceases to amaze.”

Two of the summer students also took a two-week trip to China, where they continued their project work in Beijing and Shenzhen, collaborating with Tsinghua University. These students, whose projects focused on citizen science and crowd computing, were both working with the SDG (Sustainable Development Goals) Summer School at the University of Geneva. Discussions are currently ongoing with representatives of this university about joining CERN openlab.  


Webfest creativity

Another highlight of the summer was the CERN Summer Student Webfest. The event is a hackathon, through which bright and creative minds meet over a weekend to build cool science projects using open

 web technologies. This year’s Webfest, which was supported by CERN openlab, featured over 70 participants collaborating on 14 projects over a weekend.

A diverse range of ideas were developed over the weekend, including augmented-reality apps, educational games, expert chat bots, puzzles, and more. Tony Al Najjar, a summer student working with the CMS experiment, was selected as the winner of the competition by a panel of judges. He created an interactive and educational LED-based game called CERcle, which puts players in control of the LHC.

“I truly enjoyed the competitive, yet cooperative atmosphere. I was absolutely amazed by quite a lot of the ideas presented and the amount of work completed in just two days,” says Al Najjar. “The dedication was there, the creativity was there, and — most importantly — the fun was there; that's recipe for innovation.” Al Najjar has won a trip to London to participate in the Mozilla Festival at the end of October.


Projects presented

While the students had lots of fun — and learnt much — during the trips, the webfest, and the lecture series, the main focus of their time at CERN was undoubtedly their projects. These covered a diverse range of topics, including high-performance computing, big data, visualisation, machine learning, and much more. The projects enabled the students to gain hands-on experience with some of the latest ICT solutions, working under the supervision of leading experts in the field.

On 11 and 15 August, the students presented their work in two dedicated public ‘lighting talk’ sessions. In 5-minute presentations, each student explained the technical challenges they have faced and described the results of what they have been working on for the nine weeks they have spent at CERN.

The best presentations from each of the two sessions were selected by a panel of judges. The winners from the first session were as follows:

1st:  Sharad Agarwal, IoT Security

2nd:  Agrima Seth, Anomaly Detection using Machine Learning for Data Quality Monitoring in the CMS Experiment

3rd: Alastair Cuthbert Paragas, Zenodo Keyword Auto-Suggest using Parallel Graph Analytics


The winners from the second session were as follows:

1st: Markus Sommer, Stateful Services in Containers

2nd: Yasmine Nasri, Building Effective Database Backup and Recovery Monitoring Using Elastic Stack

3rd: Clenimar Filemon Souza, Building Effective Database Backup and Recovery Monitoring Using Elastic Stack

“I feel incredibly thankful to have had this opportunity, to get to know and work with such incredible minds” says Sommer, a student from Philipps University in Marburg, Germany, who was selected as this year’s overall winner.

“The presentations opened my eyes to the importance of exploring every moment spent at CERN,” says Khaled Abushammala, from the Islamic University of Gaza in Palestine. “I was able to learn a lot, which impacted my skills, personality, and much more.” Abushammala’s participation in the programme was supported by UNRWA and GGateway, in line with the international cooperation agreement signed between CERN and Palestine in December 2016.


Student challenge

Five of this year’s summer students have also been selected to take part in the Intel® Modern Code Developer Challenge with Intel. This competition sees the students’ blog about their projects — all of which either make use of Intel projects or are connected to broader collaborative initiatives between Intel and CERN openlab — on a dedicated website. This website also features audio interviews and videos with the students discussing their projects.

One of the five students will be selected as the winner (the one whose project work over the summer is deemed the most successful by a panel of judges) and will be invited to present their work at two major events in November:  the Intel® HPC Developers Conference and the SC17 conference.

An overview of the five projects can be found below:

Smash-simulation software

Teaching algorithms to be faster at simulating particle-collision events.

Elena Orlova


Connecting the dots

Using machine learning to better identify the particles produced by collision events.

Antonio Carta


Cells in the cloud

Running biological simulations more efficiently with cloud computing.

Konstantinos Kanellis


Disaster relief

Helping computers to get better at recognizing objects in satellite maps created by a UN agency.

Muhammad Abu Bakr


IoT at the LHC

Integrating Internet of Things devices into the control systems for the Large Hadron Collider.

Lamija Tupo

“We are thrilled to support these students through the Modern Code Developer Challenge. Intel's partnership with CERN openlab is part of our continued commitment to education and building the next generation of scientific coders that are using HPC, AI & IOT technologies to have a positive impact on people’s lives across the world ,” says Michelle Chuaprasert, Director, Developer Relations Division at Intel.

“Training the next generation of developers — the people who can produce the scientific code that makes world-leading research possible — is of paramount importance across all scientific fields,” says Di Meglio. “We’re pleased to partner with Intel on this important cause.”


Join us next year

The 2017 CERN openlab Summer Student Programme was a great success,” says Maria Girone, CTO of CERN openlab. “We received enthusiastic feedback from the students on the programme; we were also very pleased to see their high level of engagement and commitment throughout the summer.”

Students wishing to participate in the 2018 CERN openlab Summer Student Programme should check the CERN openlab website again when applications open in December. In the meantime, more information about the programme can be found here:

Nobel reactions

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 921 (2017). doi:10.1038/nphys4296

The Nobel Prize, for all its shortcomings and imperfections, remains unmatched when it comes to the kind of emotions it generates.

Optomechanical nonreciprocity

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 922 (2017). doi:10.1038/nphys4283

Authors: Ewold Verhagen & Andrea Alù

The two-way symmetry of electromagnetic wave propagation can be broken effectively in optomechanical systems, enabling new devices that route photons in unconventional ways.

Quantum crystals

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 925 (2017). doi:10.1038/nphys4286

Author: Mark Buchanan

Nuclear magnetic resonance: From strength to strength

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 926 (2017). doi:10.1038/nphys4290

Author: Andreas H. Trabesinger

Quantum physics: Going random

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 926 (2017). doi:10.1038/nphys4291

Author: Federico Levi

Supermassive black holes: Enshrouded in dust

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 926 (2017). doi:10.1038/nphys4292

Author: Iulia Georgescu

Multiferroics: In rare form

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 926 (2017). doi:10.1038/nphys4293

Author: Luke Fleet

Theoretical physics: Bounded diffusion

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 926 (2017). doi:10.1038/nphys4294

Author: Yun Li

Organic spintronics: Window of opportunity

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 928 (2017). doi:10.1038/nphys4284

Author: Christoph Boehme

A crystalline organic semiconductor that combines the long spin-relaxation times of organic semiconductors with the high charge-carrier mobilities typically found in inorganic semiconductors provides unprecedented prospects for organic spintronics.

Insights through dimensions

Nature Physics - Wed, 04/10/2017 - 00:00

Nature Physics 13, 1026 (2017). doi:10.1038/nphys4285

Author: Tina Hecksher

Dimensional analysis is a powerful tool for assessing physical problems, reaffirms Tina Hecksher

Press Release: CERN openlab tackles ICT challenges of High-Luminosity LHC

Cern OpenLab News - Thu, 21/09/2017 - 09:28
Thursday, 21 September, 2017

CERN openlab has published a white paper identifying the major ICT challenges that face CERN, the European Organization for Nuclear Research, and other ‘big science’ projects in the coming years.

CERN is home to the Large Hadron Collider (LHC), the world’s most powerful particle accelerator. The complexity of the scientific instruments at the laboratory throw up extreme ICT challenges, and make it an ideal environment for carrying out joint R&D projects and testing with industry.

A continuing programme of upgrades to the LHC and the experiments at CERN will result in hugely increased ICT demands in the coming years. The High-Luminosity LHC, the successor to the LHC, is planned to come online in around 2026. By this time, the total computing capacity required by the experiments is expected to be 50-100 times greater than today, with data storage needs expected to be in the order of exabytes.

CERN openlab works to develop and test the new ICT solutions and techniques that help to make the ground-breaking physics discoveries at CERN possible. It is a unique public-private partnership that provides a framework through which CERN can collaborate with leading ICT companies to accelerate the development of these cutting-edge technologies.

With a new three-year phase of CERN openlab set to begin at the start of 2018, work has been carried out throughout the first half of 2017 to identify key areas for future collaboration. A series of workshops and discussions was held to discuss the ICT challenges faced by the LHC research community — and other ‘big science’ projects over the coming years. This white paper is the culmination of these investigations, and sets out specific challenges that are ripe for tackling through collaborative R&D projects with leading ICT companies.

The white paper identifies 16 ICT ‘challenge areas’, which have been grouped into four overarching ‘R&D topics’ (data-centre technologies and infrastructures, computing performance and software, machine learning and data analytics, applications in other disciplines). Challenges identified include ensuring that data centre architectures are flexible and cost effective; using cloud computing resources in a scalable, hybrid manner; fully modernising code, in order to exploit hardware to its maximum potential; making sure large-scale platforms are in place to enable global scientific collaboration; and successfully translating the huge potential of machine learning into concrete solutions   .

“Tackling these challenges — through a public-private partnership that brings together leading experts from each of these spheres — has the potential to positively impact on a range of scientific and technological fields, as well as wider society,” says Alberto Di Meglio, head of CERN openlab.

“With the LHC and the experiments set to undergo major upgrade work in 2019 and 2020, CERN openlab’s sixth phase offers a clear opportunity to develop ICT solutions that will already make a tangible difference for researchers when the upgraded LHC and experiments come back online in 2021,” says Maria Girone, CERN openlab CTO.


Follow the launch event for the white paper live via webcast from 09:50 CEST today:



CERN openlab white paper on future IT challenges in scientific research (PDF):


Further information

CERN openlab website:

CERN openlab press pack



Andrew Purcell

CERN openlab communications officer

Tel: +41 22 76 62287


About CERN openlab

CERN openlab was established in 2001. It is a unique public-private partnership that works to accelerate the development of cutting-edge solutions for the worldwide LHC community and wider scientific research. Through CERN openlab, CERN collaborates with leading ICT companies and research institutes.

Within this framework, CERN provides access to its complex ICT infrastructure and its engineering experience — in some cases even extended to collaborating institutes worldwide.

Testing in CERN’s demanding environment provides the ICT industry collaborators with valuable feedback on their products, while enabling CERN to assess the merits of new technologies in their early stages of development for possible future use. This framework also offers a neutral ground for carrying out advanced research-and-development activities with more than one company.

Today, the following companies and research institutes are collaborating in CERN openlab:

Partners: Huawei, Intel, Oracle, Siemens

Contributors: Brocade, Cisco, IDT, Rackspace, Seagate

Associates: Comtrade, Yandex

Research members: EMBL-EBI, GSI, INFN, Innopolis University, Kazan Federal University, King’s College London, Newcastle University, SCImpulse Foundation.

The power of universal pictures

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 821 (2017). doi:10.1038/nphys4266

The sky map presented by the Dark Energy Survey showcases the power of images to reach scientists and the wider public alike.

Physics students unite

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 821 (2017). doi:10.1038/nphys4267

The International Conference of Physics Students continues its remarkable tradition.

The risks of accelerated change

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 823 (2017). doi:10.1038/nphys4249

Author: Mark Buchanan

Quantum dynamics: A new spin on lensing

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 824 (2017). doi:10.1038/nphys4259

Author: Andreas Trabesinger

Theoretical ecology: Sea fairies

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 824 (2017). doi:10.1038/nphys4260

Author: Federico Levi

Cosmology: A changing constant?

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 824 (2017). doi:10.1038/nphys4261

Author: Iulia Georgescu

Biophysics: Not hairy enough

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 824 (2017). doi:10.1038/nphys4262

Author: Abigail Klopper

Ultracold gases: Reveal the unseen

Nature Physics - Tue, 05/09/2017 - 00:00

Nature Physics 13, 824 (2017). doi:10.1038/nphys4263

Author: Yun Li


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