The paper “Portioning using Ordinal Preferences: Fairness and Efficiency”, by Ioannis Caragiannis, associate professor of our Department, and his colleagues, has been selected among the three best papers in the scientific conference IJCAI 2019 (28th International Joint Conference on Artificial Intelligence), achieving a distinguished paper honorable mention. IJCAI is the top conference in Artificial Intelligence...Read More
Highlights from Sklavos Nikolaos, Associate Professor, CEID, talk on Friday 29.03.19 in the context of Seminar & CEID Social Hour. For more information follow the link: https://www.ceid.upatras.gr/en/announcement/290320193mm-b4-seminar-ceid-social-hour-hack-heart-secure-soul-sklavos-nikolaosRead More
Highlights from the PhD Award Ceremony, held on Wednesday, March 20, 2019, at the Odysseas Elytis Hall of the Administration Building, University of Patras.Read More
Dimitris Nikolopoulos (PhD CEID 2000, https://pure.qub.ac.uk/portal/en/persons/dimitrios-nikolopoulos(7570acff-2934-4786-bfd2-813028d1785f).html) was elected a member of the UK ESPRC Strategic Advisory Team (SAT) for e-Infrastructure. Vassilis Kalantzis (MSc CEID 2014) with his doctoral degree from the University of Minnesota, was honored with Herman H. Goldstine Memorial Postdoctoral Fellowship and is now a member of the Center for Computational and Statistical Learning...Read More
On Thursday 14.12.2017 CEID hosted Professor Sergios Theodoridis who delivered an extremely interesting talk entitled “A Tour to Deep Learning: From the Origins to Cutting Edge Research and Open Challenges”. Dr. Theodoridis is Professor of Signal Processing and Machine Learning in the Department of Informatics and Telecommunications of the University of Athens as well as Professor at the Chinese University of Hong Kong. In...Read More
On Friday 15/12 CEID hosted Dr. Petros Drineas, Associate Professor at Purdue University and CEID alumnus. Details of the talk are listed below. Title: RandNLA: Randomization in Numerical Linear Algebra Abstract: The introduction of randomization in the design and analysis of algorithms for matrix computations (such as matrix multiplication, least-squares regression, the Singular Value...Read More
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