Panagiotis Tsakalides

Panagiotis Tsakalides
Signal Processing Laboratory

Panagiotis Tsakalides

Head

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

Professor, Department of Computer Science, University of Crete, Greece

P. Tsakalides received the Diploma in electrical engineering from the Aristotle University of Thessaloniki, Greece, in 1990, and the Ph.D. degree in electrical engineering from the University of Southern California, Los Angeles, in 1995. He is a Professor at the Computer Science Department, University of Crete, and the Head of the Signal Processing Laboratory at the Institute of Computer Science (FORTH-ICS). His research interests lie in the field of statistical signal processing and machine learning with emphasis in non-Gaussian estimation and detection theory, sparse representations, and applications in wireless sensor networks, remote sensing, audio, imaging, and multimedia systems. He has co-authored over 220 technical publications in these areas, including 55+ papers in international peer-reviewed journals and 150+ papers in international conferences. According to Google Scholar, he has more than 5500 citations, an h-index of 33, and an i10-index of 87. P. Tsakalides has a strong commitment in inspiring young researchers, having supervised 11 PhD and 26 MSc students, as well as 9 postdoctoral fellows.

Prof. Tsakalides has been the project coordinator or co-PI in 8 European Commission and 13 national projects with a budget in excess of 12.5 M€ totaling more than 5.5 M€ in actual funding for the University of Crete and FORTH-ICS. He was the coordinator of the 1.3 M€ FP7 MC-IAPP “CS-ORION” project conducting research on compressed sensing for remote imaging in aerial and terrestrial surveillance and of the 1 M€ H2020 COMPET project “PHySIS” conducting research on sparse signal processing technologies for hyperspectral systems. CS-ORION was tagged as a success story by the European Commission. He currently runs a Hellenic Foundation for Research and Innovation (ΕΛΙΔΕΚ) Faculty project titled “V4-ICARUS: On-line and Adaptive Mathematical Signal Processing and Learning for Uncovering the Big Data Universe.”

Prof. Tsakalides possesses an extensive and successful administrative experience. In March 2017, he was appointed the Vice Rector of Financial Planning, Infrastructure and Development at the University of Crete, overseeing a major investment for upgrading scientific instrumentation infrastructure and for improving the energy efficiency of campus buildings. From September 2019 to August 2020, he was the University Rector.

Selected Publications:

E. Doutsi, L. Fillatre, M. Antonini, and P. Tsakalides, “Dynamic Image Quantization Using Leaky Integrate-and-Fire Neurons,” IEEE Transactions on Image Processing, vol. 30, pp. 4305-4315, 2021, doi: 10.1109/TIP.2021.30701932021.

E. Troullinou, G. Tsagkatakis, S. Chavlis, G. Turi, W.-K. Li, A. Losonczy, P. Tsakalides, and P. Poirazi, “Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, no. 5, pp. 755-767, Oct. 2021, doi: 10.1109/TETCI.2020.3028581.

A. Aidini, G. Tsagkatakis, and P. Tsakalides, “Tensor Decomposition Learning for Compression of Multidimensional Signals,” IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 3, pp. 476-490, April 2021, doi: 10.1109/JSTSP.2021.3054314.

R. Stivaktakis, G. Tsagkatakis, B. Moares, F. Abdalla, J. L. Starck, and P. Tsakalides, “Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data,” IEEE Transactions on Big Data, vol. 6, no. 3, pp. 460-476, September 2020, doi: 10.1109/TBDATA.2019.2934475.

G. Tsagkatakis, A. Aidini, K. Fotiadou, M. Giannopoulos, A. Pentari, and P. Tsakalides, “Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement,” MDPI Sensors, 2019, 19, 3929; doi:10.3390/s19183929.

R. Stivaktakis, G. Tsagkatakis, and P. Tsakalides, “Deep Learning for Multi-Label Land Cover Scene Categorization Using Data Augmentation,” IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 7, pp. 1031-1035, July 2019, doi: 10.1109/LGRS.2019.2893306.

Selected Projects:

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

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

Telephone Number: +30 2810 391.730

Website:  //users.ics.forth.gr/~tsakalid/

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