Senior Lecturer/Associate Professor at Department of Information Technology, Division of Scientific Computing
1. Short presentation
Salman Toor is Associate Professor in Scientific Computing at Uppsala University. He is an expert in the field of distributed computing infrastructures and applied machine learning. Toor is the co-chair of the Integrative Scalable Computing Lab (ISCL) at Uppsala University and co-founder and CTO at Scaleout Systems AB. He has supervised and reviewed more than forty master thesis projects and is currently the principal supervisor of two Ph.D students.
Academic merits: Docent
Keywords: big data cloud computing distributed computing infrastructures federated machine learning system scalability and performance
Salman Toor earned his Masters and PhD in Scientific Computing from Uppsala University. In 2014, Toor finished his postdoctoral research from CMS program, Helsinki Institute of Physics, Finland. From 2015-2017, Toor was employed as a researcher in the Department of Information Technology, Uppsala University and as a senior cloud architect at Swedish National Infrastructure for Computing (SNIC). Toor is the co-chair of the Integrative Scalable Computing Lab (ISCL) at Uppsala University and co-founder and CTO at Scaleout Systems AB. Toor is one of the lead architects of the FEDn framework, designed and developed for scalable federated machine learning. Toor is a co-PI of the Gigacow project and a named researcher in the HASTE and SustAinimal projects. Together with extensive research experience, Toor has over 15 years of teaching experience in different international institutions. He has designed and developed both masters and PhD level courses in the field of distributed computing infrastructures.
- HASTE: Hierarchical Analysis of Spatial and Spatial and Temporal Data
- Cost-aware Application Development and Management using CLOUD-METRIC
- GROOT: Infrastructure_Security-as-a-Service (ISaaS)
- HarmonicIO: A Stream-based Solution for Scalable Data Analysis
- A Flexible Computational Framework Using R and Map-Reduce
- A Scalable Infrastructure for CMS Data Analysis
- Secure Cloud Connectivity for Scientific Applications
- Chelonia: A Self-healing Distributed Store
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