News – Integrative Scalable Computing Laboratory

PhD student in Scientific Computing focusing on Secure Federated Machine Learning

May 11, 2022May 11, 2022 Salman Toor No Comments

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,…

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

Open PhD position in Scientific Computing

May 3, 2022May 3, 2022 Salman Toor No Comments

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…

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

Two Open PhD Positions

March 4, 2022April 2, 2022 Prashant Singh No Comments

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

February 14, 2022February 14, 2022 admin No Comments

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…

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

Proactive Autoscaling for Edge Computing Systems with Kubernetes

December 21, 2021December 21, 2021 Salman Toor No Comments

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…

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

Prashant Singh appointed SciLifeLab Fellow in data-driven life science

September 1, 2021September 13, 2021 admin No Comments

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 Umeå 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…

News, Uncategorized

Xiaobo Zhang joins the lab

May 31, 2021October 17, 2021 admin No Comments

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….

HASTE, News

Omar Javed joins the group as a visiting PhD student

February 15, 2021February 15, 2021 admin No Comments

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…

Applied Cloud Computing, News

Trusted Execution Environment (TEE) For Federated Learning

January 14, 2021September 14, 2021 admin No Comments

The Scaleout team, in close collaboration with ISCL, was granted SEK 2.1M to explore the use of secure enclaves to increase the veracity in federated learning. Read more about the project here: https://www.scaleoutsystems.com/post/trusted-execution-environment-for-federated-learning

Data-Intensive Computing, FedML, Funding, News

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

December 16, 2020September 13, 2021 admin No Comments

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…

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