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PhD student in Scientific Computing focusing on Secure Federated Machine Learning Data Science
Open PhD position in Scientific Computing Applied Cloud Computing
Two Open PhD Positions Data Science
FedQAS: Federated machine reading comprehension based on FEDn Data-Intensive Computing
Proactive Autoscaling for Edge Computing Systems with Kubernetes Applied Cloud Computing

PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Posted on May 11, 2022May 11, 2022 By Salman Toor No Comments on PhD student in Scientific Computing focusing on Secure Federated Machine Learning
PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Project Description Artificial intelligence (AI) is at the core of modern-day applications. With the advent of massive datasets, the last two decades were dedicated to improve the mathematical modeling and training processes; And recently the focus has shifted towards security, privacy and trust based AI assisted solutions. Together with a number of other viable solutions,…

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Data Science, Data-Intensive Computing, Federated Learning, FedML, News, Open Positions

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 –ย SciLifeLabย 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

Two Open PhD Positions

Posted on March 4, 2022April 2, 2022 By Prashant Singh No Comments on Two Open PhD Positions
Two Open PhD Positions

We welcome applications for 2 PhD positions in the group. This is an exciting opportunity to join us at SciLifeLab and the Division of Scientific Computing, UU to conduct highly interdisciplinary research in machine learning, computational science and systems biology. Please refer to the detailed advertisements below. Statistical Sampling/Active Learning for Large-Scale Scientific Experiments Machine…

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Data Science, News, Open Positions, systems biology

FedQAS: Federated machine reading comprehension based on FEDn

Posted on February 14, 2022February 14, 2022 By admin No Comments on FedQAS: Federated machine reading comprehension based on FEDn
FedQAS: Federated machine reading comprehension based on FEDn

Machine reading comprehension (MRC) of text data is a complex NLP problem with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD). It is considered to be an effort to teach computers how to “understand” a text, and then to be able to answer questions about it using…

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Data-Intensive Computing, Federated Learning, News, publication, Software

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

Prashant Singh gives a talk in the Svedberg seminar series

Posted on October 14, 2021October 14, 2021 By admin No Comments on Prashant Singh gives a talk in the Svedberg seminar series
Prashant Singh gives a talk in the Svedberg seminar series

On Monday Oct 18, 2021 at 15:15 Prashant will give a talk in thee SciLifeLab The Svedberg seminar series. The talk will be about: “Scalable Likelihood-Free Parameter Inference of Stochastic Biochemical Reaction Networks”

Uncategorized

Adrien Coulier defends his thesis

Posted on September 13, 2021September 13, 2021 By admin No Comments on Adrien Coulier defends his thesis
Adrien Coulier defends his thesis

Adrien has successfully defended his PhD thesis Multiscale Modeling in Systems Biology: Methods and Perspectives! The Faculty opponent was Prof. Mark Chaplain, and the grading committee consisted of Prof Marija Cvijovic, Assoc. Prof. Kevin Sanft, and Assoc. Prof. Martin Kroenbichler, Big congratulations Adrien!

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Li Ju new PhD student to work on federated learning

Posted on September 6, 2021October 17, 2021 By admin No Comments on Li Ju new PhD student to work on federated learning
Li Ju new PhD student to work on federated learning

We are delighted to welcome Li Ju as a new PhD student in the group. Li has recently completed a Master degree in computer science and will work on algorithms and software for federated learning. Li is part of the Center for Interdiciplinary Mathematics graduate school, and in the project we will collaborate with industry…

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Prashant Singh appointed SciLifeLab Fellow in data-driven life science

Posted on September 1, 2021September 13, 2021 By admin No Comments on Prashant Singh appointed SciLifeLab Fellow in data-driven life science
Prashant Singh appointed SciLifeLab Fellow in data-driven life science

Prashant Singh has been awarded a SciLifeLab Fellow position and this returns as a PI to Uppsala and ISCL after a period as Assistant Professor in Computer Science at Umeรฅ University! The fellowship is a tenure-track position and comes with a substantial startup package, and is a part of SciLifeLabs strategy to transform and expand…

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News, Uncategorized

Xiaobo Zhang joins the lab

Posted on May 31, 2021October 17, 2021 By admin No Comments on Xiaobo Zhang joins the lab
Xiaobo Zhang joins the lab

We are happy to welcome Dr Xiaobo Zhang to the lab. Xiaobo will be working in the HASTE project, developing new methods for intelligent management of data streams composed of scientific data objects such as images. He brings expertise on working on compressed data in machine learning and edge computing. Xiaobo Zhao received the M.S….

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HASTE, News

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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/

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Andreas HellanderFollow

Andreas Hellander
Retweet on TwitterAndreas Hellander Retweeted
yannik_schaelteYannik Schรคlte@yannik_schaelte·
9 Jun

๐ŸŽ’Summer school: ๐ˆ๐ง๐ฏ๐ž๐ซ๐ฌ๐ž ๐ฉ๐ซ๐จ๐›๐ฅ๐ž๐ฆ๐ฌ ๐Ÿ๐จ๐ซ ๐ฆ๐ฎ๐ฅ๐ญ๐ข-๐ฌ๐œ๐š๐ฅ๐ž ๐ฆ๐จ๐๐ž๐ฅ๐ฌ

๐Ÿ’ฌWith: Linda Petzold, Christiane Fuchs, @dennisprangle, @StefanEngblom, @A_Hellander

โฐAugust 22-26
๐Ÿ“Œ@HCM_Bonn

โœ๏ธDetails+register: http://www.hcm.uni-bonn.de/events/eventpages/hausdorff-school/hausdorff-schools-2022/inverse-2022/

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A_HellanderAndreas Hellander@A_Hellander·
25 May

Really enjoyed presenting our work on federated learning with FEDn at CCGRID22 last week. Some takeaways from the talk (1/3):

1. Algorithm development must have real-world scalability in mind and there is a risk in missing this aspect if only considering simulation of FL.

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A_HellanderAndreas Hellander@A_Hellander·
25 May

Such a beautiful paper put together by @adameykolab, and one of the most fun applications of fluid mechanics modeling I have seen in recent years @AnassBouchnita @MurtazoNazarov. Thanks for the collaboration!

Igor Adameyko@adameykolab

After a long struggle, failed revision in Science, loads of happiness and pain, our paper on surface-associated water streams integrating polyps into a coral colony, is out in Current Biology. https://www.cell.com/current-biology/fulltext/S0960-9822(22)00672-8?fbclid=IwAR0j5TqfenF0_tp1hDam43K6jdfWS9iw16OzGVHZsVZ89eDe0Yq8Aa-ykuY#%20 1/10

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Retweet on TwitterAndreas Hellander Retweeted
adameykolabIgor Adameyko@adameykolab·
14 May

After a long struggle, failed revision in Science, loads of happiness and pain, our paper on surface-associated water streams integrating polyps into a coral colony, is out in Current Biology. https://www.cell.com/current-biology/fulltext/S0960-9822(22)00672-8?fbclid=IwAR0j5TqfenF0_tp1hDam43K6jdfWS9iw16OzGVHZsVZ89eDe0Yq8Aa-ykuY#%20 1/10

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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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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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