Fifth International Conference on
Fuzzy and Neural Computing – 2015 held at IDRBT
The International Conference on Fuzzy and Neural Computing (FANCCO-2015) began on December 17, 2015 at IDRBT, Hyderabad. The FANCCO-2015 held annually, is the Fifth International Conference of this series, which provides a forum for disseminating the latest research results in Fuzzy Computing and Neural Networks.
The three-day conference reviews the latest cutting edge research made in the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing. The conference aims to explore new application areas and to design novel hybrid algorithms for solving different real world application problems and to create awareness in these domains to a wider audience including researchers, academicians and practitioners.
Fuzzy and Neuro Computing, a part of machine learning, provides solutions to complex, uncertain and imprecise problems using data-driven learning methodologies such as fuzzy logic, neural networks, etc. The concept of Fuzzy Neuro Computing gained prominence since in a world consisting of complex datasets, it was imperative to develop efficient systems using various computing techniques that provides solutions and enables right decision-making. This international conference provides an opportunity for the academia and the industry to present and discuss problems related to fuzzy and neural computing and come up with innovative ideas and solutions in this area.
In his welcome address,Dr. A. S. Ramasastri, Director, IDRBT, focused attention on the Institute’s significant contribution to the Indian Banking and Financial Sector in the niche area of Banking Technology. He highlighted the research work being carried out in the important areas at the Institute’s Research Centres viz., Centre of Excellence in Analytics, Centre for Mobile Banking, Centre for Cyber Security, Centre for Open Source Systems and Centre for Virtualization and Cloud Computing.
The Director also announced the launch of Institute’s new Post Graduate Diploma in Banking Technology (PGDBT), commencing from July 2016. This Post Graduate Diploma in Banking Technology is a unique programme designed to provide the Indian Banking and Financial Sector, on a regular basis, a pool of talented professionals with technology expertise to strongly support their technology deployment initiatives. The PGDBT is a full-time regular one year programme that will provide essential learning inputs on technology implementation, integration and management to meet the changing technology requirements of the Banking Sector. The programme focuses on present technologies as well as emerging technologies that can contribute to the growth of banks. The PGDBT aims to produce techno-savvy professionals, who would use the latest and best technologies, to fuel growth and make the Indian Banking and Financial Sector techno-efficient.
The Conference was flagged off on December 17, 2015 by Prof. Tadihiko Murata, Kansai University, Japan; Prof. Dipankar Dasgupta, University of Memphis, USA; Dr. Raghuram Krishnapuram, Xerox Innovation Group, India; and Prof. B. K. Panigrahi, Indian Institute of Technology, Delhi.
The key points of the inaugural address of Dr. Y. V. Reddy, Former Governor, Reserve Bank of India, about “Technology Adoption by Indian Banking Sector: Role of RBI” are as under:
- IDRBT has played a major role in ushering in Banking Technology in country, especially by establishing and running a secured closed user group financial network called INFINET and structured messaging system called SFMS, over which today’s RTGS and NEFT function.
- Recent advances in Big Data Analytics has thrown up immense possibilities in identifying areas of business propositions for banks and at the same time meeting the very choosy demands of their customers.
- Research in this area has enabled banks to develop their own data warehouses for customer relationship management (CRM) initiatives.
- This massive creation of data is a wealth house of information which can be tapped by entities which deal with data analysis for the benefit of practically any field ranging from finance, commerce, socio-economic development, science, demography, etc.
- Our challenge lies in describing standards and ensuring adoption and implementation of those standards.
- Big Data, data with large volume, variety, velocity and veracity has become the mantra for understanding new leads for the banks, likes/dislikes of customer, behavioural analysis of customers, information security threats, etc.
The three-day conference was preceded by a one-day tutorial on December 16, 2015 on the following topics:
- Evolution of Architectures of ANN from Learning to Deep Learning by Prof. B. Yegnanarayana, International Institute of Information Technology, Hyderabad
- Classification based on Support Vector Machines by Prof. M. Narasimha Murty, Indian Institute of Science (IISc.), Bangalore.
A galaxy of renowned international researchers in the area of Hybrid Intelligent Systems/Soft Computing are participating in the FANCCO – 2015 and delivered keynote talks during the Conference as under:
Prof. Nik Kasabov,
Auckland University of Technology, New Zealand
|Spiking Neural Networks for On-Line Temporal Stream Data Modelling and Prediction|
Dr. Raghuram Krishnapuram,
Xerox Innovation Group, India
|A Fuzzy Approach to Big Data Analytics Problems|
Prof. Tadihiko Murata,
Kansai University, Japan
|Evolutionary Fuzzy Systems - History and Recent Developments|
Prof. Vipin Kumar,
University of Minnesota, USA
|Understanding Global Change: Opportunities and Challenges for Data Driven Research|
Prof. Dipti Srinivasan,
|Uncertainty Handling Using Neural Network-Based Prediction Intervals|
The FANCCO-2015 has a total of five Technical Sessions covering 27 research presentations from USA, Fiji, Japan, Russia, Hungary, Turkey, Palestine, New Zealand and India. The Conference was coordinated by Dr. V. Ravi, Professor, IDRBT.
FANCCO 2015 – Awards
The Awards Committee consisting of Prof. B. L. Deekshatulu, Distinguished Fellow, IDRBT; and Dr. V. Ravi, Professor, IDRBT have recommended the following awards based upon the reviews, the presentation, interaction and importance of the topic and the problem of the papers for this Conference.
And the winners are:
- First Prize: Purushottam S. Dange and Ravindra K. Lad, , Savitribai Phule Pune University, for the paper entitled “Sewage Water Quality Index of Sewage Treatment Plant using Fuzzy MCDM Approach”.
- Second Prize: Neelava Sengupta, Nathan Scott and Nikola Kasabov,, Auckland University of Technology, New Zealand, for the paper entitled Framework for Knowledge-driven Optimisation based “Data Encoding for Brain Data Modelling using Spiking Neural Network Architecture”.
- Third Prize: Latha Gadepaka and Bapi Raju Surampudi, University of Hyderabad, for the paper entitled “Privacy Preserving Collaborative Clustering using SOM for Horizontal Data Distribution”.