Welcome from the Chair of the Forum
The 1st International Electronic Conference on Entropy and its Applications will be held from 3–21 November 2014 in the internet environment. The objective of this event is to bring scientists and engineers working in the field onto a common platform where they can present and discuss their recent contributions without the need to travel.As this meeting will not require physical presence in any particular location, we are expecting a large attendance from all over the world.
Contributions from both theoretical and applied perspectives of entropy will be covered. Submissions focusing on conceptual and methodological developments, as well as new applications of entropy and information theory will be covered. Some of the main topics of interest, also shared with those of the Entropy Journal, are listed below:
- Physics and Engineering: Thermodynamics, Statistical Mechanics, the Second Law of Thermodynamics, Reversibility, Quantum Mechanics, Black Hole Physics, Maximum Entropy Methods, Maximum Entropy Production, Evolution of the Universe (Section A)
- Information Theory: Shannon Entropy, Kullback-Leibler Divergence, Channel Capacity, Renyi and other Entropies, and Applications (Section B)
- Complex Systems: Self-Organization, Chaos and Nonlinear Dynamics, Simplicity and Complexity, Networks, Symmetry Breaking, Similarity (Section C)
- Chemistry and Biology: Chemical Networks, Energy, Enthalpy, Maximum Entropy Methods, Biological Networks, Evolution, DNA and RNA, Diversity (Section D)
- Machine Learning and Systems Theory: Artificial Intelligence, Neural Networks, Cybernetics, Robotics, Man–Machine Interfaces, Causality (Section E)
- Posters:In this section posters can be presented stand-alone, i.e. without a proceedings papers that goes with it. Posters will be available online on this website during and after the e-conference. However, posters will not be added to the proceedings of the conference. (Section P)
Accepted papers will be published in the proceedings of the conference, and selected papers will be considered for publication in Entropy, which is an open access publication journal of MDPI in the field of Entropy (http://www.mdpi.com/journal/entropy).The 1st International Electronic Conference on Entropy and Its Applications will be held at www.sciforum.net/conference/ecea-1, on a platform developed by MDPI to organize electronic conferences. I would like to welcome you to this event with the hope of starting a successful conference series in the future, Best regards,
Deniz Gencaga, Ph.D.
Carnegie Mellon University
Deniz Gencaga received his Ph.D. degree in Electrical and Electronic Engineering from Bogazici University, in 2007. Upon graduation, he was offered a postdoctoral position at The University at Albany (SUNY), where he developed advanced statistical signal processing methods to characterize complex organic molecules in space and identify the causal relationships between earth climate variables, in two different NASA funded projects. Between 2009 and 2011, he continued his research at The National Oceanic and Atmospheric Administration’s Cooperative Remote Sensing Science and Technology Center (NOAA-CREST) at The City College of New York as a Research Associate. After working as a postdoctoral fellow on various machine learning projects at The Center of Space Sciences at The University of Texas at Dallas in 2012, he joined the Alcoa Technology in December 2012 as a Senior Statistical Scientist. He continues his career at the Carnegie Mellon University. He was granted the NATO A2 fellowship, best student paper award of IEEE-SIU and ERCIM "Alain Bensoussan" fellowship. He is a Senior Member of IEEE and he has been a member of numerous professional societies. Currently, he is serving as the chair of the joint signal processing/control systems societies of the IEEE Pittsburgh local chapter. He was one of the local organizers of the 27th International Conference on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. He has served as a reviewer in various journals and at the editorial board of the Entropy journal. He has published peer-reviewed research papers and abstracts in numerous journals and conferences and he gave invited talks at various institutes and universities. He taught as a guest lecturer and mentored graduate students both at the University of Texas and University at Albany. His main research areas include Bayesian signal processing, statistical machine learning, data mining, knowledge discovery, computational intelligence, information theory and smart systems.