Grigorios Tsagkatakis

grigorios_tsagkatakisPostdoctoral  Researcher at Signal Processing Laboratory, 

Institute of Computer Science, Foundation for Research and Technology – Hellas

Dr. Grigorios Tsagkatakis (g. male) received his Diploma and M.S. degrees in Electronics and Computer Engineering from the Technical University of Crete, Greece in 2005 and 2007 respectively, and his Ph.D. in Imaging Science from the Rochester Institute of Technology, New York, in 2011. During the period 2011-2013 he was a Marie Curie post-doctoral fellow at the Institute of Computer Science (ICS), FORTH and he is currently working as a research associate with the Signal Processing Laboratory at FORTH-ICS. He has been involved in various European projects, including H2020 PHySIS and DEDALE, FP7 CS-ORION & HYDROBIONETS, FP6 OPTAG, and in industry-funded projects by leading companies including Kodak and Cisco. He has co-authored more than 30 peer-reviewed conferences, journals and book chapters in the areas of signal and image processing, computer vision and machine learning. He was awarded the best paper award in the Western New York Image Processing Workshop in 2010 for his paper “A Framework for Object Class Recognition with No Visual Examples”.


Selected Publications:

Tsagkatakis, Grigorios; Woiselle, Arnaud; Tzagkarakis, George; Bousquet, Marc; Starck, Jean-Luc; Tsakalides, Panagiotis
Multireturn Compressed Gated Range Imaging (Journal Article)
Optical Engineering, special issue on Computational Approaches to Imaging LADAR, 54 (3), pp. 031106–031106, 2015.

Nikitaki, Sofia; Tsagkatakis, Grigorios; Tsakalides, Panagiotis
Efficient Multi-channel Signal Strength Based Localization via Matrix Completion and Bayesian Sparse Learning (Journal Article)
Mobile Computing, IEEE Transactions on, PP (99), pp. 1-1, 2015, ISSN: 1536-1233.

Karalas, Konstantinos; Tsagkatakis, Grigorios; Zervakis, Michalis; Tsakalides, Panagiotis
Deep Learning for Multi-label Land Cover Classification (In Proceedings)
Proc. 2015 SPIE Remote Sensing, International Society for Optics and Photonics 2015.

Methods for tracking objects using random projections, distance learning and a hybrid template library and apparatuses
thereof, G Tsagkatakis, A Savakis, US Patent 8,873,798, 2014


Selected Projects:


Email Address: greg [at] ics [dot] forth [dot] gr

Postal Address: FORTH-ICS, N. Plastira 100, Vassilika Vouton, GR 700 13 Heraklion, Crete, Greece

Telephone Number: +30 2811 392.725

Website:  //users.ics.forth.gr/~greg/