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Integrative Scalable Computing Laboratory

A research group at the Department of Information Technology, Uppsala Universtity.

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Open PhD position in Scientific Computing

Posted on May 3, 2022May 3, 2022 By Salman Toor No Comments on Open PhD position in Scientific Computing
Open PhD position in Scientific Computing

We have one open PhD position focusing on Cybersecurity and Machine Learning for Critical Infrastructures Application submission deadline: May 16, 2022 The application submission link is available on the following page: https://www.uu.se/en/about-uu/join-us/details/?positionId=501061 This PhD position is part of the eSSENCE – SciLifeLab graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, Open Positions

Proactive Autoscaling for Edge Computing Systems with Kubernetes

Posted on December 21, 2021December 21, 2021 By Salman Toor No Comments on Proactive Autoscaling for Edge Computing Systems with Kubernetes
Proactive Autoscaling for Edge Computing Systems with Kubernetes

Happy to announce our newly accepted article: Accepted at the 14th IEEE/ACM International Conference on Utility and Cloud Computing UCC 2021. Abstract With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, HASTE, News, Software

Omar Javed joins the group as a visiting PhD student

Posted on February 15, 2021February 15, 2021 By admin No Comments on Omar Javed joins the group as a visiting PhD student
Omar Javed joins the group as a visiting PhD student

We are happy to welcome Omar Javad for his exchange year as a visiting PhD student! Omar a PhD student in Università della Svizzera italiana (USI), Switzerland. His research interest includes dynamic program analysis, mining software repositories, virtualization and runtime verification. In particular I am investigating dynamic program analysis technique for understanding functional and non-functional…

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Applied Cloud Computing, News

Smart Resource Management for Data Streaming using an Online Bin-packing Strategy

Posted on December 16, 2020September 13, 2021 By admin No Comments on Smart Resource Management for Data Streaming using an Online Bin-packing Strategy
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy

The stream processing framework HarmonicIO is a prototype that addresses the needs for processing streams based on relatively large individual objects. In this regard, it is a specialized streaming framework well-suited for scientific workflows. Salman Toor and Oliver Stein presented this work, and our latest publication  Smart Resource Management for Data Streaming using an Online…

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Applied Cloud Computing, Data-Intensive Computing, HASTE, News, publication, Software

MSc thesis opportunities in privacy-preserving Machine Learning

Posted on November 10, 2019November 10, 2019 By admin
MSc thesis opportunities in privacy-preserving Machine Learning

We have opportunities for a number of MSc thesis students to work with the group in the spring semester 2020. Artificial intelligence is rapidly transforming our society. Machine learning models will be in every digital system we use, and it is imperative that we protect the integrity of data owners. In this project we work…

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Applied Cloud Computing, FedML, News, Open Positions

“Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science

Posted on December 2, 2017December 2, 2017 By admin No Comments on “Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science
“Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science

The SNIC Science Cloud (SSC) team has published a paper in the 2017 conference on IEEE eScience.  SNIC Science cloud has been an infrastructure project run by the Swedish National Infrastructure for Computing (SNIC) with the purpose to assess if and how SNIC should offer cloud infrastructure to the scientific community. The project is now coming…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, OpenStack

Postdoc in Scientific Computing/Applied Cloud Computing

Posted on July 1, 2016July 1, 2016 By admin No Comments on Postdoc in Scientific Computing/Applied Cloud Computing

We are looking for a talented individual to join our efforts on creating smart and scalable cloud services to support simulation-driven scientific discovery via large-scale computational experiments such as parameter sweeps. This is a classic and very important problem that we will approach in new ways, leveraging recent advances in cloud computing, data-intensive computing and machine…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, Open Positions

Fredrik Wrede joins the group

Posted on May 13, 2016May 13, 2016 By admin No Comments on Fredrik Wrede joins the group

We are very happy to welcome Fredrik Wrede, MSc. in Bioinformatics, to the group. Fredrik was accepted as a PhD student in CIM, the Center for Interdisciplinary Mathematics. His project will center around intelligent cloud services for processing and making sense of massive amounts of data, for example generated by large computational experiments in systems…

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Applied Cloud Computing, Data-Intensive Computing, News, StochSS

Göran Gustafsson prize

Posted on March 14, 2016 By admin No Comments on Göran Gustafsson prize

Last week brought some great news. I am awarded the Göran Gustafsson Prize 2016 from the Gustafsson Foundation (KTH/UU). In the proposed project titled Smart Services for Scientific Discovery we will look into new and more productive ways to combine simulation software and cloud computing infrastructure to build intelligent applications for e.g. exploring an underlying model’s essential…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News

Open Posititions: up to two PhD students

Posted on January 19, 2016March 14, 2016 By admin No Comments on Open Posititions: up to two PhD students

(Call for applications is closed. ) We are expanding the group with up to two PhD students in the areas of Applied Mathematics and Applied Cloud Computing: CIM, the Center for Interdisciplinary Mathematics are hiring students.  We are, in collaboration with the Spjuth lab offering the project, Smart and Efficient Scientific Software for Exploration of Vast Amounts…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, Open Positions, Software, StochSS

Data-and simulation-driven life science. Much of our work in eScience and applied ML has applications in life science, and in Systems Biology in particular. We aim to enable data-and simulation-driven scientific discovery.

HASTE - a cloud native framework for intelligent processing of image streams: http://haste.research.it.uu.se/

Follow us on twitter

Andreas HellanderFollow

Andreas Hellander
A_HellanderAndreas Hellander@A_Hellander·
11 May

Are you using StochSS? Please help us gather insights into what is working well and what can be improved by filling in this short survey https://forms.gle/mEqfASuUd3MDWuPS9

@LindaPetzold @briandrawert @mhucka

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A_HellanderAndreas Hellander@A_Hellander·
9 May

Apply to this PhD student position in the eSSENCE and SciLifeLab graduate school in data-intensive science!

This project is the intersection of cybersecurity and big data with main supervisor @sztoor.
https://www.uu.se/en/about-uu/join-us/details/?positionId=501061

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A_HellanderAndreas Hellander@A_Hellander·
28 Apr

PhD position in the eSSENCE/@scilifelab graduate school in data-intensive science with @cnettel: https://uu.se/en/about-uu/join-us/details/?positionId=501716 Apply and be part of a new interdiciplinary research effort @UU_University!

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A_HellanderAndreas Hellander@A_Hellander·
23 Apr

If you are a current user of StochSS please let us know your thoughts by filling out this brief user survey: https://forms.gle/3r836iph8gqFEpZX7

#systemsbiology #stochss @LindaPetzold @briandrawert @prashant_rsingh

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Retweet on TwitterAndreas Hellander Retweeted
AssistSweASSIST Sweden@AssistSwe·
14 Apr

Soon the partners in the ASSIST project will attend a workshop on federated learning arranged by Scaleout. Partners from different countries (Sweden, Belgium, Netherlands, Turkey) will contribute with nodes that train a segmentation network.

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Decentralized AI, Federated Learning. One focus area of the group is development of methods and software to address decentralized and privacy-preserving AI. We are core contributors to the FEDn open source framework for scalable federated machine learning:

https://github.com/scaleoutsystems/fedn
Introduction to Federated Learning by Andreas Hellander
Join the discussion on Decentralized AI:

Scaleout Systems is a spin-out from ISCL on a mission to enable decentralized AI and federated learning to production.

https://www.scaleoutsystems.com/

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