Integrative Scalable Computing Laboratory
A research group at the Department of Information Technology, Uppsala Universtity.
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…
Read More “FedQAS: Federated machine reading comprehension based on FEDn” »
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”
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!
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…
Read More “Li Ju new PhD student to work on federated learning” »
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…
Read More “Prashant Singh appointed SciLifeLab Fellow in data-driven life science” »
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….
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…
Read More “Omar Javed joins the group as a visiting PhD student” »
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
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…
Read More “Smart Resource Management for Data Streaming using an Online Bin-packing Strategy” »
It is great to be able to welcome Sadi Alawadi to the lab! Sadi will work in our project scalable federated machine learning. This postdoc project is part of an eSSENCE initiative is connected to the new cross-disciplinary effort AI4Research at Uppsala University, with the aim to specifically support this effort by research on new e-Science methods…
Read More “Sadi Alawadi joins the lab as a postdoc focusing on FedML” »
