Special Sessions

Special Session “Advances in Cellular Nonlinear/ Nanoscale Networks”

Rationale of the Special Session:
CNN have been introduced in 1988 by L. Chua and L. Yang as a new class of information processing systems, which shows important potential applications. Despite of having a compact representation CNN can show very complex dynamics like chaotic behaviour, self organization and pattern formation or nonlinear oscillation and wave propagation. The future of CNNs implementation is in nano-structure computer architecture. CNNs not only represent a new paradigm for complexity but also establish novel approaches to information processing by nonlinear complex systems. CNNs have very impressive and promising applications in image processing and pattern recognition.

The proposed special session is aimed at illustrating new trends in the development of theory as well as the applications of CNN into a wide range of disciplines, ranging from classical and sophisticated image filtering, to biological signal processing solution of nonlinear partial differential equations (PDE), physical systems and nonlinear phenomena modelling, generation of nonlinear and chaotic dynamics, associative memories, neurophysiology, robotics, etc.

Recently, new trends of CNN applications are memristors which are considered for synaptic connections in first realizations. They play an important role for the realization of future CNN-UM sensor-processor systems by taking their rich dynamical behavior into account. However, a deep mathematical treatment of CNN with memristors, briefly called memristor CNN in the following, hasn’t been provided so far. Especially, the derivation of methods allowing the determination of the parameter space of a memristor CNN showing emergent complex behavior, is being essentially important in the development of CNN based computational methods. During the special session the following topics will be covered: Theoretical advances of CNN; Biological applications of CNN; Advances in CNN  architecture; Memristor CNN; Nanoscale applications of CNN.

Organizer:
Prof. Angela Slavova, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria, e-mail: slavova@math.bas.bg
Member of IEEE Technical Committee on CNNAD, CAS Society

Special Session “Modelling of Data Mining Processes by Generalized Nets”

Rationale of the Special Session:
Generalized Networks (GNs) are a tool for modeling parallel processes, including Petri nets  and other modifications and generalizations. In recent years, GNs become a convenient tool for modeling of data retrieval processes. For the proposed special session are accepted reports in which through GNs are described different means of extracting data (neural networks, genetic algorithms, decision support systems, intercrystalline analysis, etc.) as well as their applications in specific
areas (economy, transport, medicine, etc.).

Organizer:
Prof. Krasimir Atanasov, Bulgarian Academy of Sciences, e-mail: k.t.atanassov@gmail.com

Special Session “Memristor Devices: Theory and Applications”
This special session is dedicated to the 60th Anniversary of Professor Ronald Tetzlaff

Rationale of the Special Session:
Memristors form an important emerging technology for memory and neuromorphic computing applications. Leon Chua has developed the fundamentals of the memistor framework nearly 40 years ago. Since then, the industry has been engaged in the search for novel materials and technologies of these nano-structures. In this special session theoretical development of memristor technologies will be presented as well as the conventional applications like non-volatile high density memory and new nanoelectronic circuits for information  processing. Improvements in device performance in key metrics like switching time, power consumption, on-off ratios, and retention time will show how to make a circuit design easier and more amenable to conventional analysis. Especially topics as memristor-based neuromorphic or bio-inspired computing is well positioned in the session in order to revolutionize computing technologies to handle non-traditional information processing problems and emergent behavior in artificial intelligent systems by taking inspiration from different complex systems in biology and chemistry.

Organizers:
Prof. Alon Ascoli, Institute of Circuits and Systems, Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany, e-mail: Alon.Ascoli@tu-dresten.de
Secretary of IEEE Technical Committee on CNNAD, CAS Society

Prof. Fernando Corinto, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy, e-mail: Fernando.corinto@polito.it
Chair of IEEE Technical Committee on CNNAD, CAS Society

Prof. Angela Slavova, Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria, e-mail: slavova@math.bas.bg
Member of IEEE Technical Committee on CNNAD, CAS Society