Publications

A. Lahiry, T. Díaz-Santos, J.L. Starck, N. Roy, D. Anglés-Alcázar, G. Tsagkatakis and P. Tsakalides. Deep and sparse de-noising benchmarks for spectral data cubes of high-z galaxies: From simulations to ALMA observations. Astronomy & Astrophysics, 2026 PDF

C. Kopidaki, G. Tsagkatakis, and P. Tsakalides, "Federated Learning for Remote Sensing Image Classification Using Sparse Image Representations," IEEE Geoscience and Remote Sensing Letters, 2025 PDF

M. Giannopoulos, G. Tsagkatakis, and P. Tsakalides, "Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting," MDPI Remote Sensing, 2024 PDF

J. Fagin, G. Vernardos, G. Tsagkatakis, Y. Pantazis, A. J. Shajib, M. O’Dowd, “Measuring the substructure mass power spectrum of 23 SLACS strong galaxy–galaxy lenses with convolutional neural networks,” Monthly Notices of the Royal Astronomical Society,2024, Oxford University Press PDF

G. Margetis, G. Tsagkatakis, S. Stamou, C. Stephanidis, “Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment,” Sensors 23 (8), 3998, 2023 PDF

E. Troullinou, G. Tsagkatakis, A. Losonczy, P. Poirazi, P. Tsakalides, “A Generative Neighborhood-based Deep Autoencoder for Robust Imbalanced Classification”, IEEE Transactions on Artificial Intelligence, 2023 PDF

G. Drakonakis, G. Tsagkatakis, K. Fotiadou, and P. Tsakalides, “OmbriaNet - Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 2341-2356, 2022 PDF

M. Villia, G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, “Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting,” MDPI Sensors, Special Issue on Machine Learning, Signal, and/or Image Processing Methods to Enhance Environmental Sensors, 22(5), 1851, 2022 PDF

M. Giannopoulos, G. Tsagkatakis, and P. Tsakalides, “4D U-Nets for Multi-Temporal Remote Sensing Data Classification,” MDPI Remote Sensing, Special Issue on Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience, 14(3), 634, 2022 PDF

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(5), pp. 755-767, 2021 PDF

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(3), pp. 476-490, 2021 PDF

G. Vernardos, G. Tsagkatakis, Y. Pantazis, “Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks”, Monthly Notices of the Royal Astronomical Society, vol. 499(4), pp. 5641-5652, 2020 PDF

T. Geiller, B. Vancura, S. Terada, E. Troullinou, S. Chavlis, G. Tsagkatakis, P. Tsakalides, K. Ocsai, P. Poirazi, B. J. Rozsa, and A. Losonczy, “Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice,” Neuron, vol. 108(5), pp. 968-983, 2020 PDF

B. Canuel, …, G. Tsagkatakis et al. “ELGAR—a European laboratory for gravitation and atom-interferometric research,” Classical and Quantum Gravity, vol. 37(22), pp. 225017, 2020 PDF

M. Aspri, G. Tsagkatakis, P. Tsakalides, “Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification” MDPI Remote Sensing, Special issue on Computational Intelligence and Advanced Learning Techniques in Remote Sensing, vol. 12 (17), 2020 PDF

R. Stivaktakis, G. Tsagkatakis, and P. Tsakalides, “Semantic Predictive Coding with Arbitrated Generative Adversarial Networks,” MDPI Machine Learning and Knowledge Extraction, vol. 2, pp. 307–326, 2020 PDF

E. Troullinou, G. Tsagkatakis, G. Palagina, M. Papadopouli, S. M. Smirnakis, and P. Tsakalides, “Adversarial Dictionary Learning for a Robust Analysis and Modelling of Spontaneous Neuronal Activity,” in Elsevier Neurocomputing, vol. 388, pp. 181-201, 2020 PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning”, IEEE Transactions on Multimedia, vol. 22(3), pp. 688-703, 2020 PDF

G. Tsagkatakis, A. Aidini, K. Fotiadou, M. Giannopoulos, A. Pentari, P. Tsakalides, “Survey of deep learning approaches for remote sensing observation enhancement”, in MDPI Sensors - Special Issue Deep Learning Remote Sensing Data, vol. 19(8), 2019 PDF

M. Stivaktakis, G. Tsagkatakis, P. Tsakalides, “Deep Learning for Multi-Label Land Cover Scene Categorization Using Data Augmentation”, IEEE Remote Sensing Letters, vol. 16(7), pp 1031-1035, 2019 PDF

G. Vernardos and G. Tsagkatakis"Quasar microlensing light curve analysis using deep machine learning", Monthly Notices of the Royal Astronomical Society, Vol. 486 (2), pp. 1944–1952, 2019 PDF

M. Stivaktakis, G. Tsagkatakis, F. Surea, B. Moralles, F. Abdalla, J.-L. Starck, P. Tsakalides, “Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data”, IEEE Transactions on Big Data, Special issue on Big Data from Space, vol. 6(3), pp. 460-476, 2019 PDF

G. Tsagkatakis, M. Jayapala, B. Geelen, and P. Tsakalides, “Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing”, IEEE Transactions on Computational Imaging, vol. 5(2), 2019 PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Spectral super-resolution via coupled sparse dictionary learning”, IEEE Transactions on Geoscience and Remote Sensing, vol. 57(7), 2018 PDF

S. Savvaki, G. Tsagkatakis, A. Panousopoulou, and P. Tsakalides, “Matrix and Tensor Completion on a Human Activity Recognition Framework”, IEEE Journal of Biomedical and Health Informatics, vol. 21(6), 2017 PDF

G. Tsagkatakis, B. Beferull-Lozano, and P. Tsakalides, “Singular Spectrum based Matrix Completion for Time-series Recovery and Prediction,” EURASIP Journal on Advances in Signal Processing, special issue on Signal Processing for Big Data, vol. 66, May 2016 PDF

K. Karalas, G. Tsagkatakis, M. Zervakis, and P. Tsakalides, “Land Classification Using Remotely Sensed Data: Going Multi-Label,” IEEE Transactions on Geoscience and Remote Sensing, vol. vol. 54(6), 2016 PDF

S. Nikitaki, G. Tsagkatakis, and P. Tsakalides. “Efficient Multi-Channel Signal Strength based Localization via Matrix Completion and Bayesian Sparse Learning”, IEEE Transactions on Mobile Computing, vol. 14(11), 2015 PDF

G. Tsagkatakis, A. Woiselle, G. Tzagkarakis, M. Bousquet, J.-L. Starck, and P. Tsakalides. “Multireturn compressed gated range imaging.” SPIE Optical Engineering, vol. 54(3), 2015 PDF

G. Tsagkatakis and A. Savakis, “Online Distance Metric Learning for Object Tracking”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 21(12), pp. 1810-1821, 2011 PDF

G. Tsagkatakis and A. Savakis, “Face Detection in Resource Constrained Wireless Systems”, Lecture Notes in Computer Science, Mobile Multimedia Processing, Editors: J. Xiaoyi, M. Matthew and C. Chang, pp. 203-220, Springer Berlin, 2010

E. Polychronakis, A. Kannan, J. Campbell, M. Moghaddam, P. Tsakalides, G. Tsagkatakis, Multi-Source Uncertainty Aware Fusion for Soil Moisture Estimation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2026 PDF

A. Kannan, A. Melebari, G. Tsagkatakis, K. Nelson, V. Ravindra, S. Roy-Singh, C. Ruf, M. Moghaddam, Physics-Based GNSS-Reflectometry Inverse Modeling Using Automatic Differentiation For Soil Moisture Retrieval, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2026

G. Stamatakis, G. Tsagkatakis, and N. Petroulakis, “A Deep Reinforcement Learning Approach to Active Channel Sounding in 6G Networks”. IEEE Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2026

S. Koutoupis, M.A. Zervou, K. Kontras, M. De Vos, P. Tsakalides, G. Tsagkatakis, "The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Highlight paper) PDF

A. Kannan, A. Melebari, G. Tsagkatakis, A. Farguell, K. Nelson, A. Kochanski, V. Ravindra, S. Nag, C. Ruf, M. Moghaddam, "Enhanced Mapping of Wildfire-Burned Areas using GNSS-Reflectometry Raw Intermediate Frequency Data," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3106–3110, 2025 PDF

A. Kannan, A. Melebari, G. Tsagkatakis, A. Farguell, K. Nelson, A. Kochanski, V. Ravindra, S. Nag, C. Ruf, M. Moghaddam, "Enhancements to Mapping Wildfire Burned Areas using GNSS-Reflectometry Raw Intermediate Frequency Data," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025 PDF

G. Tsagkatakis, A. Melebari, J.D. Campbell, A. Kannan, P. Shokri, E. Hodges, M. Moghaddam, P. Tsakalides, "Fusion of Forecasting and Retrieval for Uncertainty Aware Soil Moisture Estimation," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025 PDF

I. Konidakis, K. Panayidou, G. Tsagkatakis, P. Tsakalides, "Uncertainty-Aware Flood Segmentation from Sentinel-2 Observations with Conformal Prediction," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025 PDF

G. Tsagkatakis, A. Melebari, J.D. Campbell, E. Hodges, M. Moghaddam, “Quantifying Uncertainty in Machine Learning Based Soil Moisture Retrieval From GNSS-R Measurements,” IEEE International Conference on Electromagnetics in Advanced Applications (ICEAA), 2024 PDF

A. Kannan, G. Tsagkatakis, M. Moghaddam, “Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024 PDF

G. Tsagkatakis, A. Melebari, R. Akbar, J.D. Campbell, E. Hodges, M. Moghaddam, “Uncertainty Quantification in Machine Learning Based Retrieval of Soil Moisture from GNSS-R Observations,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024 PDF

A. Kannan, A. Melebari, G. Tsagkatakis, K. Nelson, V. Ravindra, S. Nag, M. Moghaddam, “Mapping Wildfire Burned Area Using GNSS-Reflectometry in Densely Vegetated Regions with Complex Topography: A Machine Learning Approach”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024 PDF

A. Aidini, G. Tsagkatakis, P. Tsakalides, “Unsupervised Change Detection on Multi-Temporal Satellite Images Using Tensor Decomposition Learning, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024 PDF

G. Tsagkatakis, M. Moghaddam, P. Tsakalides, “Soil Moisture Retrieval Using in Situ and Data Simulation Regularized Deep Learning Models,” IEEE International Geoscience and Remote Sensing Symposium, (IGARSS),2024 PDF

E. Kariotakis, G. Tsagkatakis, P. Tsakalides, A. Kyrillidis, “Leveraging Sparse Input and Sparse Models: Efficient Distributed Learning in Resource-Constrained Environments,” Conference on Parsimony and Learning, PMLR, 2024 PDF

S. Vellas, M. Bernou, G. Tsagkatakis, P. Tsakalides, N. Nikolopoulos-Anastasiadis, “A Dual Camera System with AI-enabled Imaging Control for Earth Observation Applications: A Feasibility Study,” IEEE European Data Handling & Data Processing Conference (EDHPC), 2023 PDF

E. Troullinou, G. Tsagkatakis, A. Losonczy, P. Poirazi, P. Tsakalides, “A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification," 57th IEEE Asilomar Conference on Signals, Systems, and Computers,2023 PDF

A. Aidini, G. Tsagkatakis, N. D. Sidiropoulos, P. Tsakalides, “Few-Shot Classification Using Tensor Completion,” 57th IEEE Asilomar Conference on Signals, Systems, and Computers, 2023 PDF

G. Tsagkatakis, A. Melebari, R. Akbar, J.D. Campbell, E. Hodges, M. Moghaddam, “Deep Generative Regression Models for Soil Moisture Retrieval From GNSS-R Observations,” IEEE International Conference on Electromagnetics in Advanced Applications (ICEAA),2023 PDF

A. Kannan, G. Tsagkatakis, M. Moghaddam, “A new approach for downscaling soil moisture by merging conditional adversarial networks and physics-based passive microwave retrieval”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 PDF

A. Kannan, G. Tsagkatakis, R. Akbar, D. Selva, V. Ravindra, R. Levinson, “Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 PDF

M. Giannopoulos, G. Tsagkatakis, and P. Tsakalides, “4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘22), Singapore, May 2022 PDF

G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, "Deep Multi-Modal Satellite and in-situ Observation Fusion for Soil Moisture Retrieval," IEEE International Geoscience and Remote Sensing Symposium (IGARSS ‘21), Brussels, Belgium, July 2021 PDF

G. Tsagkatakis, S. Nikolidakis, E. Petra, A. Kapantagakis, K. Grigorakis, G. Katselis, N. Vlahos, and P. Tsakalides, "Knowledge Distillation from Multispectral Images to RGB for Fish Freshness Estimation," 2021 IS&T International Symposium on Electronic Imaging, Food and Agricultural Imaging Systems, Burlingame, USA, January 2021

G. Tsagkatakis, M. Moghaddam, and P. Tsakalides, "Multi-Temporal Convolutional Neural Networks for Satellite-Derived Soil Moisture Observation Enhancement," IEEE International Geoscience and Remote Sensing Symposium (IGARSS ‘20), Waikoloa, Hawaii, July 2020 PDF

Α. Aidini, G. Tsagkatakis, and P. Tsakalides, “Quantized Tensor Robust Principal Component Analysis,” 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘20), Barcelona, May 2020 PDF

Α. Aidini, G. Tsagkatakis, and P. Tsakalides, "Tensor Dictionary Learning with Representation Quantization for Remote Sensing Observation Compression," Data Compression Conference (DCC ‘20), Cliff Lodge, Snowbird, UT, March 2020 PDF

G. Tsagkatakis, S. Nikolidakis, E. Petra, A. Kapantagakis, K. Grigorakis, G. Katselis, N. Vlahos, and P. Tsakalides, “Fish Freshness Estimation through Analysis of Multispectral Images with Convolutional Neural Networks,” IS&T International Symposium on Electronic Imaging, Food and Agricultural Imaging Systems, Burlingame, CA, January 2020 PDF

A. Pentari, G. Tsagkatakis, K. Marias, G.C. Manikis, N. Kartalis, N. Papanikolaou and P. Tsakalides, “Sparse Representations on DW-MRI: A study on pancreas”, IEEE International Conference on BioInformatics and BioEngineering (BIBE), Athens, October 2019 PDF

A. Aidini, G. Tsagkatakis, and P. Tsakalides, “Compression of High-Dimensional Multispectral Image Time Series Using Tensor Decomposition Learning”, 27th European Signal Processing Conference (EUSIPCO), A Coruña, Spain, September 2019 PDF

M. Aspri, G. Tsagkatakis, and P. Tsakalides, “On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study”, 27th European Signal Processing Conference (EUSIPCO) A Coruña, Spain, September 2019 PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Alternating Direction Method of Multipliers for Semi-Blind Astronomical Image Deconvolution”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019 PDF

G. Pitsis, G. Tsagkatakis, C. Kozanitis, I. Kalomoiris, A. Ioannou, A. Dollas, M. Katevenis, and P. Tsakalides, “Efficient Convolutional Neural Network Weight Compression for Space Data Classification on Multi-FPGA Platforms”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019 PDF

M. Giannopoulos, G. Tsagkatakis, and P. Tsakalides, “On the impact of Tensor Completion in the Classification of Undersampled Hyperspectral Imagery”, European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018 PDF

K. Fotiadou, G. Tsagkatakis, M. Moghaddam, P. Tsakalides, “Recovery of Soil Moisture Active Passive (SMAP) Instrument’s Active Measurements via Coupled Dictionary Learning”, Electronic Imaging Symposium, San Francisco, California, February 2018 PDF

A. Aidini, G. Tsagkatakis, P. Tsakalides, “1-Bit Tensor Completion”, Electronic Imaging Symposium, San Francisco, California, February 2018 (Best Paper Award) PDF

G. Tsagkatakis, M. Jaber, P. Tsakalides, “Convolutional neural networks for the analysis of broadcasted tennis games”, Electronic Imaging Symposium, San Francisco, February 2018 PDF

K. Fotiadou, G. Tsagkatakis, B. Morales, F. B. Abdalla and P. Tsakalides, “Denoising Galaxy Spectra with Coupled Dictionary Learning”, European Signal Processing Conference (EUSIPCO), Kos, Greece, September 2017 PDF

E. Troullinou, G. Tsagkatakis, G. Palagina, M. Papadopouli, S. M. Smirnakis, and P. Tsakalides, “Dictionary Learning for Spontaneous Neural Activity Modeling”, European Signal Processing Conference (EUSIPCO), Kos Island, Greece, September 2017 PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Multi-source Image Enhancement via Coupled Dictionary Learning”, Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS '17), Lisbon, Portugal, June 2017 PDF

M. Giannopoulos, S. Savvaki, G. Tsagkatakis, and P. Tsakalides, “Application of Tensor and Matrix Completion on Environmental Sensing Data”, European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, April 2017 PDF

S. Timotheatos, G. Tsagkatakis, P. Tsakalides, P. Trahanias, “Feature Extraction and Learning for RSSI based Indoor Device Localization”, European Symposium on Artificial Neural Networks (ESANN), Belgium, April 2017 PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery”, Electronic Imaging Symposium, California, USA, January 2017 PDF

G. Tsagkatakis, M. Jaber and P. Tsakalides, “Goal!! Event detection in sports video”, Electronic Imaging Symposium, January 2017 PDF

G. Tsagkatakis and P. Tsakalides, “A Self-Similar and Sparse Approach for Spectral Mosaic Snapshot Recovery,” IEEE International Conference on Imaging Systems and Techniques (IST 2016), Chania, Greece, October, 2016 PDF

G. Tsagkatakis, L. Amoruso, D. Sykas, C. Abbattista, and P. Tsakalides, “Lightweight Onboard Hyperspectral Compression and Recovery by Matrix Completion”, Onboard Payload Data Compression (OBPDC) workshop, ESA/ESRIN, October 2016 PDF

S. Savvaki, G. Tsagkatakis, A. Panousopoulou, and P. Tsakalides, “Effects of Matrix Completion on the Classification of Undersampled Human Activity Data Streams”, European Signal Processing Conference (EUSIPCO), Hungary, September 2016 PDF

G. Tsagkatakis, and P. Tsakalides, “Deep Feature Learning for Hyperspectral Image Classification and Land Cover Estimation”, ESA Living Planet Symposium, Czech Republic, May 2016 PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Spectral Super-Resolution for Hyperspectral Images via Sparse Representations”, ESA Living Planet Symposium, Czech Republic, May 2016 PDF

G. Tsagkatakis, M. Jayapala, B. Geelen, and P. Tsakalides, “Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery”, IS&T Image Sensors and Imaging Systems Conference, USA, January 2016 (Best Paper Award) PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Spectral resolution enhancement of hyperspectral images via sparse representations”, IS&T Computational Imaging Conference, San Francisco, USA, January 2016 PDF

K. Karalas, G. Tsagkatakis, M. Zervakis, and P. Tsakalides, “Deep learning for multi-label land cover classification”, SPIE Remote Sensing, Toulouse, France, October 2015 PDF

S. Savvaki, G. Tsagkatakis, and P. Tsakalides, “Application of Matrix Completion on Water Treatment Data”, ACM Int. Workshop on Cyber-Physical Systems for Smart Water Networks, Seattle USA, November 2015 PDF

G. Tsagkatakis, and P. Tsakalides, “Compressed hyperspectral sensing”, Electronic Imaging symposium, San Francisco, USA, January 2015 PDF

G. Tsagkatakis, and P. Tsakalides, “Recovery of quantized compressed sensing measurements”, Electronic Imaging symposium, San Francisco, USA, January 2015 PDF

K. Fotiadou, G. Tsagkatakis, and P. Tsakalides, “Low Light Image Enhancement via Sparse Representations”, International Conference on Image Analysis and Recognition, Portugal, Mai 2014 PDF

G. Tsagkatakis, P. Tsakalides, A. Woiselle, M. Bousquet, G. Tzagkarakis, and J.-L. Starck, “Compressed sensing reconstruction of convolved sparse signals”, IEEE International Conference on Acoustic, and Speech Signal Processing (ICASSP), Florence, Italy, November 2014 PDF

S. Nikitaki, G. Tsagkatakis, and P. Tsakalides, "Efficient recalibration via Dynamic Matrix Completion," 23th IEEE Machine Learning for Signal Processing Workshop (MLSP '13), Southampton, UK, September, 2013 PDF

G. Tsagkatakis, A. Woiselle, G. Tzagkarakis, M. Bousquet, J.-L. Starck and P. Tsakalides, “Compressed Gated Range Sensing”, SPIE Optics + Photonics symposium: Wavelets and Sparsity XV, San Francisco USA, June 2013 PDF

S. Poularakis, G. Tsagkatakis, P. Tsakalides, and I. Katsavounidis, “Sparse Representations for Hand Gesture Recognition,” 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP '13), Vancouver, Canada, May 2013

G. Tsagkatakis, A. Woiselle, G. Tzagkarakis, M. Bousquet, J. L. Starck, and P. Tsakalides, “Active Range Imaging via Random Gating”, Proc. SPIE Security and Defense, UK, 2012 PDF

G. Tsagkatakis and P. Tsakalides, “Efficient High Dynamic Range Imaging Via Matrix Completion”, IEEE Machine Learning for Signal Processing Workshop (MLSP), Santander, Spain, September, 2012 PDF

G. Tzagkarakis, G. Tsagkatakis, J. L. Starck, and P. Tsakalides, “Compressive Video Classification in a Low-Dimensional Manifold with Learned Distance Metric,” 20th European Signal Processing Conference (EUSIPCO '12), Boucharest, Romania, August 2012 PDF

S. Nikitaki, G. Tsagkatakis, and P. Tsakalides, “Efficient Training for Fingerprint Based Positioning Using Matrix Completion,” 20th European Signal Processing Conference (EUSIPCO '12), Boucharest, Romania, August 2012 PDF

G. Tsagkatakis and P. Tsakalides, “Dictionary Based Reconstruction and Classification of Randomly Sampled Sensor Network Data”, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Hoboken USA, June 2012 PDF

A. Savakis, M. Stump, G. Tsagkatakis, R. Melton, G. Behm, and G. Sterns, "Low vision assistance using face detection and tracking on android smartphones," in IEEE 55th International Midwest Symposium on Circuits and Systems, Boise, USA, August 2012

R. Ptucha, G. Tsagkatakis, A. Savakis, “Manifold based sparse representation for robust expression recognition without neutral subtraction,” IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Barcelona Spain, Nov. 2011

K. Moirogiorgou, G. Tsagkatakis, M. Zervakis and E. Petrakis, "A Real-Time System for HDTV Video Transmission over IP Networks," in Signal and Image Processing and Applications (SIPA' 2011), Crete, Greece, June 2011

G. Tsagkatakis and A. Savakis, “A Framework for Object Class Recognition with No Visual Examples”, IEEE Western NY Image Processing Workshop (WNYIP), NY USA, November 2010. (Best Paper Award)

G. Tsagkatakis and A. Savakis, “Face Recognition using Sparse Representations and Manifold Learning”, International Symposium on Visual Computing (ISVC), Las Vegas, USA November 2010

G. Tsagkatakis and A. Savakis, “Sparse Representations and Distance Learning for Attribute based Category Recognition”, IEEE European Conference on Computer Vision (ECCV): International Workshop on Parts and Attributes, Crete, September 2010

G. Tsagkatakis and A. Savakis, “Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition”, International Conference on Pattern Recognition (ICPR), Istanbul Turkey, August 2010

G. Tsagkatakis and A. Savakis, “A Random Projections Model for Object Tracking under Variable Pose and Multi-Camera Views”, IEEE/ACM International Conference on Distributed Smart Cameras (ICDSC), Como, Italy, September 2009

G. Tsagkatakis and A. Savakis, “Random Projections for Face Detection under Resource Constraints”, IEEE International Conference on Image processing, Cairo, Egypt, November, 2009

G. Tsagkatakis and A. Savakis, “Face Detection in Resource Constrained Wireless Systems”, International Conference on Pattern Recognition (ICPR): Workshop on Mobile Multimedia Processing, Tampa, USA, December 2008

G. Tsagkatakis, M. Zervakis, and A. Savakis, “Multiple description based image transmission with Low Density Parity Check codes”, IEEE International Conference on Image processing (ICIP), San Diego, USA, October 2008

G. Tsagkatakis, K. Fotiadou, M. Giannopoulos, A. Aidini, A. Panousopoulou, and P. Tsakalides, “Matrix and Tensor Signal Modeling in Cyber-Physical Systems,” Smart Water Grids: A Cyber-Physical Approach, CRC Press, 2017

G. Tzagkarakis, G. Tsagkatakis, D. Alonso, E. Celada, C. Asensio, A. Panousopoulou, P. Tsakalides, and B. B. Lozano. “Signal and Data Processing Techniques for Industrial Cyber-Physical Systems.” Cyber-Physical Systems: From Theory to Practice, CRC Press, 2015

A. Panousopoulou, G. Tsagkatakis, L. Montestruque, and P. Tsakalides Eds., “Smart Water Grids: A Cyber-Physical Approach”, CRC Press, 2017

G. Tsagkatakis and A. Savakis, “Methods for Tracking Objects Using Random Projections, Distance Learning and A Hybrid Template Library and Systems Thereof,” US Patent 8,873,798, granted 28 October 2014