Section Editors

Section Board for 'Signal and Data Analysis' (22)

Please see the section webpage for more information on this section.

Prof. Dr. Ernestina Menasalvas
Website
Section Editor-in-Chief
Department of Computer Systems Languages and Sw Engineering, Faculty of Computer Science, Universidad Politecnica de Madrid, Spain
Interests: data mining; data science project development; medical data analysis; NLP in medical domain
Special Issues and Collections in MDPI journals
Prof. Dr. David Luengo
Website
Department of Audiovisual and Communications Engineering, Technical University of Madrid, C/Nikola Tesla s/n, 28031 Madrid, Spain
Interests: biomedical signal processing; machine learning; adaptive Monte Carlo methods; Bayesian computation; statistical inference
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Dr. Sotiris Kotsiantis
Website
Department of Mathematics, University of Patras, Greece
Interests: artificial intelligence; computational intelligence; machine learning; data mining; data science
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Prof. Dr. Carlos M. Travieso-González
Website
Signals and Communications Department, Institute for Technological Development and Innovation in Communications (IDeTIC), University of Las Palmas de Gran Canaria (ULPGC), Campus Universitario de Tafira, sn. Telecomunicación. Pabellón B. D-111. E-35017. Las Palmas de Gran Canaria, Spain
Interests: biometrics; biomedical signals; data mining
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Prof. Dr. Yue Gao
Website
School of Software, Tsinghua University, Beijing, China
Interests: artificial intelligence; 3D vision; complex network; medical image analysis; brain science
Prof. Dr. Sergio Saponara
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Department of Information Engineering, University of Pisa, 56126 Pisa, Italy
Interests: integrated electronics; wireless systems; smart sensors and actuators; embedded & HPC digital signal processors; cybersecurity; measurement systems
Prof. Dr. Filippo Zappasodi
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Institute for Advanced Biomedical Technologies, Department of Neuroscience and Imaging, University G. D’Annunzio of Chieti-Pescara, Via Luigi Polacchi 13, 66100 Chieti, Italy
Interests: biomedical signal processing; electrophisiological signal analysis (electromyography, electroencephlaography, magnetoencephalography); brain stimulation; microstates; machine learning; functional connectivity
Prof. Dr. Ke Gu
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Faculty of Information Technology, Beijing University of Technology, Beijing, China
Interests: environmental perception; image processing; quality assessment; machine learning
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Prof. Dr. Nikola Poljak
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Department of Physics, Faculty of Science, University of Zagreb, 10 000 Zagreb, Croatia
Interests: quantum chromodynamics; LHC; interpretability; neural networks; machine learning; deep neural networks; network models; data analysis; educational physics
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Prof. Dr. Thomas Villmann
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Saxon Institute for Computational intelligence and Machine Learning, University of Applied Sciences Mittweida (UASM), 09648 Mittweida, Germany
Interests: machine learning; computational intelligence; interpretable models; information theory; pattern recognition; learning vector quantization; bioinformatics
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Prof. Dr. Mohamed Medhat Gaber
Website
School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK
Interests: mining data streams; ensemble learning; deep Learning
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Dr. Kenneth Rose
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Department of Electrical Engineering, University of California, Santa Barbara, CA, USA
Interests: information theory; signal compression; source-channel coding; video/audio coding and processing; pattern recognition; nonconvex optimization
Prof. Dr. Tae Sun Choi
Website
School of Mechanical Engineering, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea
Interests: computer vision; image processing; pattern recognition
Prof. Dr. Abdel-Ouahab Boudraa
Website
Ecole Navale & Arts et Metiers Institute of Technology, 75013 Paris, France
Interests: non-stationary signal analysis; AM-FM modeling; Teager-Kaiser energy operators for time and frequency analysis; data driven methods (EMD, MEMD,...); graph signal processing; anomaly detection in time series; transient detection; automated target recognition; aata fusion; underwater acoustics and medical imaging
Prof. Dr. Gholamreza Anbarjafari
Website
The Intelligent Computer Vision (iCV) Research Lab in the Institute of Technology, University of Tartu, 50411 Tartu, Estonia
Interests: machine learning; computer vision; human–computer interaction; emotion recognition; deep learning; human behaviour analysis
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Prof. Dr. Suvrit Sra
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Department of Electrical Engineering and Computer Science and IDSS, MIT, Cambridge, MA 02139, USA
Interests: machine learning; optimization; discrete probability; polynomials; differential geometry; convex analysis; matrix analysis
Prof. Dr. Tuan D. Pham
Website1 Website2
Department of Biomedical Engineering, Linkoping University, 58183 Linkoping, Sweden
Interests: entropy and nonlinear dynamics with applications to medicine; physiology; health; and biology
Special Issues and Collections in MDPI journals
Prof. Dr. Eric Moulines
Website
1. Ecole Polytechnique, Centre de Mathématiques Appliquées (CMAP), INRIA project XPOP, 91128 Palaiseau, France
2. International Laboratory of Stochastic Algorithms and High-Dimensional Inference, National Research University Higher School of Economics, 101000 Moskva, Russia
Interests: statistical machine learning; computational statistics; Markov Chains Monte Carlo; stochastic approximation; Bayesian statistics; statistical signal processing; information theory
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Dr. Daniel Abasolo
Website
Associate Section Editor-in-Chief
Departament of Mechanical Engineering Sciences University of Surrey, Guidford GU2 7XH, UK
Interests: niomedical signal processing; non-linear analysis,deep learning; electroencephalogram
Dr. Juan Romero
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Computation Department, Universidade da Coruña, Coruña, A, Spain
Interests: artificial intelligence; evolutionary computation; computational creativity; evolutionary art; evolutionary music
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Prof. Dr. Francesco Carlo Morabito
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DICEAM Dpt, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy
Interests: computational intelligence; biomedical signal processing; data fusion; evaluation; complexity analysis; deep learning; brain complex networks; non-destructive testing & entropic methods
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Dr. Javier Escudero
Website
School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh EH9 3FB, UK
Interests: connectivity; biomedical signal processing; nonlinear analysis; brain activity; multiway array analysis
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