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5th International Electronic Conference on Entropy and Its Applications

18/11/2019 - 30/11/2019
Abstract Submission
13th October 2019
Acceptance Notification
20th October 2019
Full Paper Submission
8th November 2019

entropy, Information Theory, Thermodynamics, Statistical Physics, Quantum Information, Complexity
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Welcome from the Chairs

You are cordially invited to participate in the 5th International Electronic Conference on Entropy and Its Applications. The conference aims to bring together researchers to present and discuss their recent contributions, without the need for travel. This e-conference is hosted on the MDPI Sciforum platform, which allows online presentation and discussion of participants’ work.

The concept of entropy is key in a broad range of research activities related to the understanding of (complex) dynamic systems, statistical mechanics, and information theory. Entropy also plays a crucial role in many practical applications. This conference aims to bring together researchers of different backgrounds—with a common interest in clarifying the role of entropy in their respective fields—to discuss ideas across different domains and expand their knowledge on the variety of possible applications of entropic methods.

The format of the conference is as follows. After abstract acceptance, the authors of oral contributions will submit a pre-recorded video presentation or series of narrated slides which will be accessible, online, during the entire conference and remain available after the e-conference. Alternatively, there is a track for posters, which will also be made available via the online platform.

In addition, authors are invited to submit a full description of their work (max. 8 pages), optionally along with a PowerPoint presentation and/or poster. Conference papers will be peer-reviewed and, upon acceptance, published in Proceedings. Paper submission is not a requirement for active conference participation.

Finally, authors may submit extended papers to be considered for publication in a Special Issue of Entropy, with a 20% discount on the APC. Entropy is an open-access publication journal of MDPI in the field of entropy and information theory.

Conference Chair



Prof. Dr. Geert Verdoolaege
Ghent University Website

Geert Verdoolaege (M.Sc. Theoretical Physics in 1999, Ph.D. Engineering Physics in 2006) is a researcher at the Laboratory for Plasma Physics of the Royal Military Academy (LPP-ERM/KMS) in Brussels, Belgium. His research activities include development of data analysis techniques using methods from probability theory, machine learning, and information geometry and application of these methods to nuclear fusion experiments and image processing. He also teaches a Master course on Continuum Mechanics at Ghent University in Belgium. He serves on the Editorial Board of the multidisciplinary journal Entropy and is a member of the scientific committees of several conferences (IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis; International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering; Conference on Geometric Science of Information). In addition, he is a consulting expert in the International Tokamak Physics Activity (ITPA) Transport and Confinement Topical Group and member of the General Assembly of the European Fusion Education Network (FuseNet).

Conference Session Chairs

Prof. Dr. Philip Broadbridge
Department of Mathematics and Statistics, La Trobe University,
Melbourne, Australia

Prof. Dr. Hung T. Diep
Department of Mathematics and Statistics, Université de Cergy-Pontoise, CNRS, Cergy-Pontoise Cedex, France

Prof. Dr. Ercan Kuruoglu
Institute of Information Science and Technology, "A. Faedo" CNR (Italian National Council of Research), Pisa, Italy

Prof. Dr. Göran Wendin
Department of Microtechnology and Nanoscience, Chalmers University of Technology, Gothenburg, Sweden


Prof. Dr. Anne Humeau-Heurtier
Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), University of Angers, Angers cedex, France

Prof. Dr. William B. Sherwin

Evolution & Ecology Research Centre, School of Biological Earth and Environmental Science, UNSW Sydney, Sydney, Australia


Dr. Remo Garattini
Department of Engineering and Applied Sciences, University of Bergamo, Bergamo, Italy

Conference Committee

Professor José Miguel Mateos Roco

Universita’ Sapienza Roma, Roma, Italy

DETAILS

Prof. Dr. Troy Day

Queen’s University, Kingston, Canada

DETAILS

Prof. Dr. Luca Faes

University of Palermo, Palermo, Italy

DETAILS

Prof. Dr. Roberto Hornero

Universidad de Valladolid, Valladolid, Spain

DETAILS

Professor Michael Nosonovsky

University of Wisconsin-Milwaukee, Milwaukee, WI, USA

DETAILS

Prof. Dr. Raúl Alcaraz Martínez

University of Castilla-La Mancha, Cuenca, Spain

DETAILS

Dr. Antonio M. Scarfone

Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche (ISC-CNR), Torino, Italy

DETAILS

Dr. Takuya Yamano

Kanagawa University, Kanagawa, Japan

DETAILS

Prof. Dr. Tapio Ala-Nissila

Aalto University, Aalto, Finland

DETAILS

Conference Awards

This year, as a sponsor, Entropy would like to award the Best Presentation as elected by the members of the scientific committee.

The Awards
Best Presentation Award
The Award will consist of 500 Swiss Francs and a certificate.
Terms and Conditions:
  1. Full paper must be submitted to ECEA-5
  2. Originality / Novelty of the paper
  3. Significance of Content
  4. Scientific Soundness
  5. Interest to the readers
  6. English language and style

Call for Papers

e-conferences, virtually anywhere

5th International Electronic Conference on Entropy and Its Applications

The Chairs and the Scientific Committee Members are pleased to announce the Call for Papers for the 5th International Electronic Conference on Entropy and Its Applications and to invite each researcher working in this exciting field to share his/her recent results with his/her colleagues around the world.

The conference will be organized into six Sessions, which reflect the interdisciplinary nature of entropy and its applications:
Session A: Thermodynamics and Statistical Physics
Session B: Information Theory, Probability, Statistics and Artificial Intelligence
Session C: Quantum Information and Quantum Computing
Session D: Complex Systems
Session E: Biological Systems
Session F: Astrophysics, Cosmology and Black Holes

We look forward to receiving contributions in response to this call and will be glad to provide any further information to interested parties. Questions may be addressed to the Entropy editorial office at [email protected] or [email protected].

Thank you in advance for your attendance of this conference and look forward to a stimulating exchange.

Conference Schedule

Abstract submission deadline: 13 September 2019 13 October 2019
Notification of acceptance: 30 September 2019 20 October 2019
Submission of full paper and/or poster/presentation deadline: 8 November 2019
Conference open: 18–30 November 2019




Keynote Speakers

Dr. Eun-jin Kim

University of Sheffield, Sheffield, UK

DETAILS

Dr Kim obtained her BSc in Physics from Yonsei University in Seoul, Korea, and PhD in Physics from the University of Chicago, USA. She held postdoctoral positions at the Universities of Leeds and Exeter in UK, High-Altitude Observatory in Boulder, USA and University of California, San Diego, USA. She is currently an Associate Professor at the University of Sheffield, UK. Dr Kim is interested in complexity, self-organisation and non-equilibrium processes, and has a unique track record in multidisciplinary research, with applications to astrophysical and laboratory fluids/plasmas and biosystems. In particular, Dr. Kim is keen on the information theory (information length) to model complexity and self-organisation in nonlinear dynamical systems, fluid/plasma turbulence, and biosystems. She is a holder of a Leverhulme Trust Research Fellowship. She published over 110 refereed journal papers (51 as first author)

non-equilibrium statistical mechanics; complex systems; information theory; self-organisation; fluid dynamics; magnetohydrodynamics (MHD); plasma physics; turbulence; solar/stellar physics; homeostasis in biosystems

Bio
Dr Kim obtained her BSc in Physics from Yonsei University in Seoul, Korea, and PhD in Physics from the University of Chicago, USA. She held postdoctoral positions at the Universities of Leeds and Exeter in UK, High-Altitude Observatory in Boulder, USA and University of California, San Diego, USA. She is currently an Associate Professor at the University of Sheffield, UK. Dr Kim is interested in complexity, self-organisation and non-equilibrium processes, and has a unique track record in multidisciplinary research, with applications to astrophysical and laboratory fluids/plasmas and biosystems. In particular, Dr. Kim is keen on the information theory (information length) to model complexity and self-organisation in nonlinear dynamical systems, fluid/plasma turbulence, and biosystems. She is a holder of a Leverhulme Trust Research Fellowship. She published over 110 refereed journal papers (51 as first author)
Research Keywords
non-equilibrium statistical mechanics; complex systems; information theory; self-organisation; fluid dynamics; magnetohydrodynamics (MHD); plasma physics; turbulence; solar/stellar physics; homeostasis in biosystems

Dr. Matteo Convertino

Hokkaido University, Hokkaido, Japan

DETAILS

Dr. Convertino is an Associate Professor in the Graduate School of Information Science and Technology at Hokkaido University, Sapporo (JP), where he is the PI of the Nexus Group. Dr. Convertino is also a faculty member of the Station for Big-Data & Cybersecurity (Environmental and Biomedical Data Science research) and in the Department of Information Engineering at Hokkaido University. Additionally he is also Adjunct Professor position at the Institute on the Environment and the Bioinformatics and Computational Biology program at the University of Minnesota. Dr. Convertino expertise is in biocomplexity focused on environmental dynamics (in particular ecohydrogeomorphological processes) and its nexus with population patterns at multiple scales of biological organization. Research is sought via process- & pattern-oriented theoretical and computational models based on information, network, and decision sciences. Models are applied to a variety of ecosystems for understanding their biological, ecological, and socio-technological function as well as for value-based ecosystem design.

Bio
Dr. Convertino is an Associate Professor in the Graduate School of Information Science and Technology at Hokkaido University, Sapporo (JP), where he is the PI of the Nexus Group. Dr. Convertino is also a faculty member of the Station for Big-Data & Cybersecurity (Environmental and Biomedical Data Science research) and in the Department of Information Engineering at Hokkaido University. Additionally he is also Adjunct Professor position at the Institute on the Environment and the Bioinformatics and Computational Biology program at the University of Minnesota. Dr. Convertino expertise is in biocomplexity focused on environmental dynamics (in particular ecohydrogeomorphological processes) and its nexus with population patterns at multiple scales of biological organization. Research is sought via process- & pattern-oriented theoretical and computational models based on information, network, and decision sciences. Models are applied to a variety of ecosystems for understanding their biological, ecological, and socio-technological function as well as for value-based ecosystem design.

Dr. Pritam Chanda

Research Scientist in data science and machine learning, Corteva Agrisciences, Indianapolis, Indiana, USA

DETAILS

Pritam Chanda received his PhD in Computer Science from the State University of New York, Buffalo, NY in 2010 and MS in Computer Engineering from the University of Cincinnati, OH in 2005. He has held post-doctoral position at the department of Biomedical Engineering, Johns Hopkins University (2010-2013). Since 2013, he has joined Dow Agrosciences (subsidiary of Dow Chemical Company) as Research Scientist in Data mining and Machine Learning. Currently he is a senior member of the global Data Science group in Corteva Agriscience, a market shaping agricultural company with leading positions in seed technologies, crop protection and digital agriculture. His work focuses on machine learning and information theoretic methods and its applications in computational biology and multi-omics data sciences (genetics, genomics, proteomics, transcriptomics). His research also involves deep learning methods and their uses in biological and chemical sciences.

Bio
Pritam Chanda received his PhD in Computer Science from the State University of New York, Buffalo, NY in 2010 and MS in Computer Engineering from the University of Cincinnati, OH in 2005. He has held post-doctoral position at the department of Biomedical Engineering, Johns Hopkins University (2010-2013). Since 2013, he has joined Dow Agrosciences (subsidiary of Dow Chemical Company) as Research Scientist in Data mining and Machine Learning. Currently he is a senior member of the global Data Science group in Corteva Agriscience, a market shaping agricultural company with leading positions in seed technologies, crop protection and digital agriculture. His work focuses on machine learning and information theoretic methods and its applications in computational biology and multi-omics data sciences (genetics, genomics, proteomics, transcriptomics). His research also involves deep learning methods and their uses in biological and chemical sciences.

Dr. Eleonora Di Valentino

University of Manchester, Manchester, UK

DETAILS

Dr. Eleonora Di Valentino is a postdoctoral research associate at the University of Manchester. Her area of research is focused on cosmology, mainly on Cosmic Microwave Background anisotropies, and cosmological data analysis to constrain properties of the early and recent Universe and fundamental physics. A major goal of her research is to constrain neutrino physics and other light fundamental particles such as axions with cosmology, using different observables and methods that offer complementary informations. Moreover, she is investigating the main tensions present between the different cosmological probes and models, trying to understand if they can have a physical explanation, going beyond the standard LCDM cosmological model.

Bio
Dr. Eleonora Di Valentino is a postdoctoral research associate at the University of Manchester. Her area of research is focused on cosmology, mainly on Cosmic Microwave Background anisotropies, and cosmological data analysis to constrain properties of the early and recent Universe and fundamental physics. A major goal of her research is to constrain neutrino physics and other light fundamental particles such as axions with cosmology, using different observables and methods that offer complementary informations. Moreover, she is investigating the main tensions present between the different cosmological probes and models, trying to understand if they can have a physical explanation, going beyond the standard LCDM cosmological model.

Prof. Dr. George Ruppeiner

New College of Florida, Sarasota, FL, USA

DETAILS

Dr. Ruppeiner is a Professor of Physics and Astronomy at New College of Florida ([email protected]). Dr. Ruppeiner received his Bachelor’s Degree in Physics at Louisiana State University in 1975, and his PhD in Experimental Low Temperature Physics at Duke University in 1980. In his PhD work, Dr. Ruppeiner developed a great appreciation for high quality experimental data, and for the need of theory to interpret such data. In his professional research, Dr. Ruppeiner has been mostly theoretical, focusing on what is nowadays called information geometry, in the area of thermodynamics. Specifically, Dr. Ruppeiner has investigated the thermodynamic Ricci curvature scalar R, and contributed to the case that this quantity provides essential information about the microscopic interactions in systems including fluids, magnets, and even black holes.

Bio
Dr. Ruppeiner is a Professor of Physics and Astronomy at New College of Florida ([email protected]). Dr. Ruppeiner received his Bachelor’s Degree in Physics at Louisiana State University in 1975, and his PhD in Experimental Low Temperature Physics at Duke University in 1980. In his PhD work, Dr. Ruppeiner developed a great appreciation for high quality experimental data, and for the need of theory to interpret such data. In his professional research, Dr. Ruppeiner has been mostly theoretical, focusing on what is nowadays called information geometry, in the area of thermodynamics. Specifically, Dr. Ruppeiner has investigated the thermodynamic Ricci curvature scalar R, and contributed to the case that this quantity provides essential information about the microscopic interactions in systems including fluids, magnets, and even black holes.

Instructions for Authors

Submission

Submissions should be done by the authors online by registering with www.sciforum.net, and using the "Start New Submission" function once logged into system.

  1. Scholars interested in participating with the conference can submit their abstract (about 200-250 words) online on this website until 13 September 2019 13 October 2019.
  2. The Conference Committee will pre-evaluate, based on the submitted abstract, whether a contribution from the authors of the abstract will be welcome for the 5th International Electronic Conference on Entropy and Its Applications. All authors will be notified by 30 September 2019 20 October 2019 about the acceptance of their abstract.
  3. If the abstract is accepted for this conference, the author will be invited to prepare a full description of their work (max. 8 pages), optionally along with a PowerPoint presentation /poster, until the submission deadline of 8 November 2019.
  4. The conference proceedings papers and presentations will be available on https://sciforum.net/conference/ecea-5 for discussion during the time of the conference 18 November–30 November 2019.
  5. Accepted papers will be published in the Journal Proceedings. After the conference, the authors are recommended to submit an extended version of the proceeding papers to the Entropy Special issue with 20% discount of the APC charges.

Manuscripts should be prepared in MS Word or any other word processor and should be converted to the PDF format before submission. The publication format will be PDF. The manuscript should count at least 3 pages (including figures, tables and references).

Presentation Slides

Authors are encouraged to prepare a presentation in PowerPoint or similar software, to be displayed online along with the Manuscript. Slides, if available, will be displayed directly in the website using Sciforum.net's proprietary slides viewer. Slides can be prepared in exactly the same way as for any traditional conference where research results can be presented. Slides should be converted to the PDF format before submission so that our process can easily and automatically convert them for online displaying.

Video Presentations

Authors are also encouraged to submit video presentations. If you are interested in submitting, please contact the conference organizer ([email protected]) to get to know more about the procedure.

Tips for authors: If you would like to prepare a video (15-20 minutes) based on your PPT presentation, you may use the "record slide" function in the PowerPoint. After recording, you can save the file as type: MPEG-4 Viedo (*.mp4).

Potential Conflicts of Interest

It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here "The authors declare no conflict of interest." This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. Financial support for the study must be fully disclosed under "Acknowledgments" section. It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research.

Copyright

MDPI AG, the publisher of the Sciforum.net platform, is an open access publisher. We believe that authors should retain the copyright to their scholarly works. Hence, by submitting a Communication paper to this conference, you retain the copyright of your paper, but you grant MDPI AG the non-exclusive right to publish this paper online on the Sciforum.net platform. This means you can easily submit your paper to any scientific journal at a later stage and transfer the copyright to its publisher (if required by that publisher).

Conference Sponsors

Organizers

Conference Secretariat

Ms. Connie Xiong
MDPI Branch Office, Wuhan
E-Mail: [email protected]

Ms. Stefanie Li
MDPI Branch Office, Wuhan
E-Mail: [email protected]

Sponsoring Opportunities

For information regarding sponsoring opportunities, please contact the conference secretariat.

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