8th International Conference on

Florence, Italy
November 22-24, 2014

Call for Papers:

The organizing committee invites you to submit your papers and special session proposals to this conference. The benefits of attending are considerable for established academics and new scientists alike. Your paper will be reviewed by 2-4 experts of the field that may offer you valuable guidelines to improve your work. In case of acceptance, you will be given the opportunity to present your research and share it with scientists from all over the world. You will stay up to date with the latest advances in the field and you will have the chance to discuss possible future collaborations. The conference proceedings will appear in all the important scientific Indexes. Furthermore, following your registration you will be given instructions on how to submit an extended version of your paper. The scientific committee will select a number of these extended versions for publication in a NAUN journal.

Apart from the academic benefits, one should also consider the rich social and cultural program that is always associated with our events. Attractive destinations and quality venues ensure an enjoyable stay to all participants. The multinational composition of the attendees often stimulates the initiation of fruitful conversations. The overall experience is always fulfilling.

Although this web site is designed to answer any questions you might have regarding the event, feel free to contact us if you have any enquiries.

Keynote Lecture 1:

Most Recent Developments within Enhanced Multivariance Products Representation (EMPR) Perspective
by Prof. Metin Demiralp, Istanbul Technical University, TURKEY.

Plenary Lecture 1:

Fractional Diffusive Waves Generated by Evolution Equations of Fractional Order
by Prof. Francesco Mainardi, University of Bologna & INFN, ITALY.

Plenary Lecture 2:

On Fundamental Sequential Confidence Interval Estimation Problems Revisited
by Prof. Nitis Mukhopadhyay, University of Connecticut, USA.

Plenary Lecture 3:

On Maximum Likelihood Clustering via a Multimodal Probability Model
by Prof. Miin-Shen Yang, Chung Yuan Christian University, TAIWAN.

Plenary Lecture 4:

Geometrical Numerical Techniques for the Approximation of Ecological Models Described by Nonlinear Differential Equations
by Dr. Fasma Diele, IAC-CNR researcher, Italy.