IES 2015

22-25th November 2015, Bangkok, Thailand

Call for Special Session Proposals

IES 2015 includes Special Sessions on highly-specialized and focused topics reporting technological frontiers and state-of-art methodologies which are in the scope of the conference. The call for invited sessions is currently open. More information on the proposal procedure can be obtained by clicking below.

>>Call for Special Sessions<<

The deadline for submission is 1 June 2015. Please allow two weeks for the evaluation.
Lakhmi C. Jain (Special Sessions Chair)

NOTICE: Instructions for the accepted Special Session organizers for EasyChair paper submission system
Please (Click here)

List of IES 2015 Special Sessions

Special Session on Smart Workspace (SoSWS)

Objectives: Recent advances in information and communication technologies have opened up a new exciting research topic in 'smart workspace'. The smart workspace aims to integrate interactive multimedia, data analytics and ubiquitous technologies to create efficient, creative and innovative applications. This effort incorporates big data analysis, infographics, mobile communications, multimedia services, data storage and ubiquitous engineering.
More Information>>
Brochure of SoSWS can be downloaded >> here <<

Special Session on Nature Inspired Creative Computing (SoNIC 2015)

Nature inspired computing techniques have successfully been applied to many different kinds of creative applications, notably, in multimedia content generation and content analysis. The proposed symposium aims to bring together leading researchers and practitioners in this field who are working on applying natural inspired computing techniques to applications in creative industries. It aims to provide the opportunity to promote, present and discuss on-going research in this area.
More Information>>
Brochure of SoNIC 2015 can be downloaded >> here <<

Special session on Data Mining and Its Applications 2015 (SoDA 2015)

Data mining (DM) is often used by governments, companies, organizations or even individuals to gain insights into large amount of data that span different domains. To solve challenging domain problems and benefit from DM, different kinds of DM applications are developed. This special session provides a platform for researchers and application developers from data mining and its related areas to promote, present, discuss on-going research and contribute towards the advancement of data mining technologies.
More Information>>
Brochure of SoDA can be downloaded >> here <<

Special session on Computer and Deep Vision

Vision has always played an essential role in everyday human activities. In the past, images were, today they are, and in the future they will continue to be important information carriers. Recent advances in digital imaging and computer hardware technology have led to an explosion in the use of computer vision in a variety of scientific and engineering applications. These applications often arise from the interactions between fundamental scientific research and development of new and high-standard technologies.
More Information>>

Special session of Randomized Algorithms for Training Neural Networks

Randomized algorithms used for design of learning-based intelligent systems have received considerable attention from academics, researchers, and domain workers due to their practical value in producing effective and efficient solutions to problems with large scale data sets and real- time constraint. In the era of big data, such type of learning algorithms become more important, and very likely create a pathway to deal with learning tasks emerging in big data. Neural networks, as a powerful tool for data regression and classification, can be trained by minimizing a loss function through updating the weights and biases. Classical approaches to training neural networks are based on derivatives of the loss function determined with respect to the model parameters (weights and biases). Quite commonly they suffer from local minima, very slow convergence, learning parameter setting and over-fitting caused by the model architecture and/or intensive learning. These factors naturally limit the feasibility of gradient-based algorithms for training neural networks, and eventually block the way to learn from large scale data sets. Randomized algorithms for matrices and data have been well explored in computational mathematics in the past and some remarkable results have been achieved. For training neural networks, these schemes were examined in early 90's, and the most influential approach is the random vector functional-link nets and its variations. However, as can been seen from literature that there are still a large room to be further explored on randomized algorithms for training neural networks. Indeed, many interesting and challenging problems related to random learner models and randomized algorithms require attention and further deep investigations.

Important dates

Special Sessions Proposal Deadline:June 1, 2015

Paper Submission Deadline:July 1, 2015
July 20, 2015
August 7, 2015
Notification of Acceptance:September 1, 2015
Camera-ready Deadline:September 15, 2015
Conference dates:22-25th November 2015


17/11/2014:   Website Online
19/02/2015:   The submission of proposal for Special sessions is now opened.
01/07/2015:   Due to numerous requests, the submission deadline has been postponed to July 20.
16/07/2015:   Due to numerous requests, the submission deadline has one final extension until August 7!!.
09/08/2015:   Due to access problems to our conference website, we would keep the online submission system open until at least August 15!!.


IES 2015 is organized by School of Information Technology, King Mongkut's University of Technology Thonburi'