Niffler is an open source DICOM framework for machine learning and processing pipelines. This is an introductory presentation for Niffler.
Thursday, November 4, 2021
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About Me
- Pradeeban Kathiravelu, Ph.D.
- Hi! I am Pradeeban, an Assistant Professor of Computer Science at the University of Alaska Anchorage. My research focuses on networking and big data innovations for healthcare. I specifically look into wide-area network optimizations for telehealth access and equity in rural Alaska and healthcare deserts globally. As a Postdoctoral Researcher at the Department of Biomedical Informatics, Emory University, Atlanta, GA, USA. I researched and built efficient frameworks to schedule and execute biomedical informatics workflows, such as radiology imaging streams and neuroscience pipelines, in research clusters and multi-clouds. I have an EU Erasmus Mundus Joint Doctorate in Distributed Computing (EMJD-DC) from INESC-ID Lisboa / Instituto Superior Técnico, Universidade de Lisboa, Portugal and Université catholique de Louvain, Belgium. My Ph.D. thesis was on Software-Defined Systems for network-aware service composition and workflow placement. I received my MSc degree, Erasmus Mundus European Master in Distributed Computing (EMDC), from Instituto Superior Técnico, Portugal, and KTH Royal Institute of Technology, Sweden.
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