Entropy Webinar | Entropy Measures to Assess Irregularity and Complexity of Time Series and Multidimensional Data
Meet Our Speakers
Prof. Dr. Anne Humeau-Heurtier
Univ Angers, LARIS, SFR MATHSTIC, Angers, France;
Anne Humeau-Heurtier received the PhD degree in Biomedical Engineering in France. She is currently a full professor in Engineering with the University of Angers, France. Her research interests include signal and image processing, mainly multiscale and entropy-based analyses, and data-driven methods. Her main applications are related to the biomedical field. She is associate editor for IEEE Transactions on Biomedical Circuits and Systems, for Frontiers in Network Physiology - Information Theory, Causality & Control, and for the Engineering Medicine and Biological Society Conference. She is member of the editorial board for the journal Entropy and area editor on Signal Processing for the IEEE Open Journal of Engineering in Medicine and Biology. She is also member of the IEEE-EMBS Technical Community on Cardiopulmonary Systems and Physiology-based Engineering. She has been guest editor for special issues in journals as Entropy, Complexity, and Computational and Mathematical Methods in Medicine.
The webinar focused on the quantification of irregularity and complexity of time series and multidimensional data through the use of entropy measures.
Prof. Dr. Luca Faes first developed recent advances in the information-theoretic analysis of time series and, among others, the static and dynamic measures. Dr. Hamed Azami showed us recent entropy measures developed on time series, images, and volumes. Examples performed on biomedical data have been detailed. Finally, Dr. Javier Escudero presented the permutation entropy for graph signals. The corresponding algorithm has been explained and numerical experiments have been developed. The approach for multivariate data has also been detailed.
Please note that this webinar is associated with a Special Issue in the Entropy journal “Entropy Measures to Assess Irregularity and Complexity of Time Series and Multidimensional Data”. The deadline is 31st of July 2023.
Guest Editors: Dr. Anne Humeau-Heurtier and Dr. Javier Escudero
Deadline for manuscript submissions: 31 July 2023