Plenary Speakers


Plenary Speakers HAIS'14

 

Prof. Amparo Alonso Betanzos

University of Coruña (Spain)

President Spanish Association for Artificial Intelligence (AEPIA)

Amparo Alonso Betanzos is Full Professor at the Computer Science Department in the University of A Coruña (Spain), where she is the head of a research group working in the area of Artificial Intelligence. She has been the director of several Master and PhD Thesis in this field.

Prof. Alonso-Betanzos has coordinated and/or participated in more than 50 competitive projects at the European, national and regional levels, and also on transference projects with different companies. She has published more than 11 book chapters, and more than 150 articles in journals and international conferences. She has received the LÓreal-UNESCO award for “Women in Science” in Spain in 1998, and LIDIA, the research group she coordinates, has received several other prizes and awards for different projects. She is an ACM Member, a Senior IEEE member, and President of the Spanish Association for Artificial Intelligence (AEPIA).

 

 

 

 

 

TITLE

A walk on the hybrid side

 

ABSTRACT

The talk will include descriptions of some intelligent hybrid systems developed by LIDIA group in different fields of application. I will show a clinical application for the classification of apneas in the diagnosis of sleep apnea syndrome; an industrial application for predictive maintenance of wind turbine mechanical parts and finally an application in the field of sociology, for environmental sustainability and the implementation of policies to reduce CO2 emissions.

 

 

 


Prof. Sung-Bae Cho

Yonsei University (Korea)

Sung-Bae Cho (S’88-M’93-SM’06) received the Ph.D. degree in computer science from KAIST (Korea Advanced Institute of Science and Technology), Taejeon, Korea, in 1993. He was an Invited Researcher of Human Information Processing Research Laboratories at Advanced Telecommunications Research (ATR) Institute, Kyoto, Japan from 1993 to 1995, and a Visiting Scholar at University of New South Wales, Canberra, Australia in 1998. He was also a Visiting Professor at University of British Columbia, Vancouver, Canada from 2005 to 2006, and at King Mongkut’s University of Technology Thonburi, Bangkok, Thailand in 2013. Since 1995, he has been a Professor in the Department of Computer Science, Yonsei University, Seoul, Korea.

His research interests include hybrid intelligent systems, soft computing, evolutionary computation, neural networks, pattern recognition, intelligent man-machine interfaces, and games. He has published over 230 journal papers, and over 680 conference papers. Dr. Cho has been serving as an associate editor for several journals including IEEE Transactions on CI and AI on Games (2009-present) and IEEE Transactions on Fuzzy Systems (2013-present). He was also the chair of Games Technical Committee, IEEE CIS (2009-2010), and Student Games-based Competition Subcommittee, IEEE CIS (2011-2012). He is a member of Board of Government (BoG) of Asia Pacific Neural Networks Assembly (APNNA) (2011-present), and a member of three technical committees in IEEE CIS such as Emergent Technologies, Computational Finance and Economics, and Games. Dr. Cho has been awarded several best paper prizes from IEEE Korea Section (1990), Korea Information Science Society (1993, 2005), International Conference on Soft Computing (1996, 1998), World Automation Congress (1998), International Conference on Information Networking (2001), and International Conference on Hybrid AI Systems (2011). He was also the recipient of the Richard E. Merwin prize from IEEE Computer Society in 1993.

 

 

TITLE

Towards Hybrid Artificial Intelligent Systems in Internet of Things

ABSTRACT

In the era of Internet of Things new personal business assistant and entertainment equipments have appeared with many technologies such as wireless voice/data communication, digital camera, and multi-media players. As the devices get complicated, we are in need of putting together available AI techniques to cope with the constraints and realize intelligent services in full scale. Since 1995 the Soft Computing Research Laboratory in Yonsei university has been exploiting the sophisticated technologies such as neural networks, evolutionary computation, fuzzy systems, and Bayesian networks, and developing the systems to solve complex real-world problems effectively by integrating them with the conventional AI technologies. In this talk, I will introduce the Soft Computing Research Laboratory and some of the projects that are pursuing advances in intelligent systems. In particular, I will present a series of prototypes that we have developed for intelligent services on smartphones.


Prof. André de Carvalho

University of Sao Paulo (Brasil)

André C. P. L. F. de Carvalho is Full Professor in the department of Computer Science, University of São Paulo, Brasil. His main research interests are data mining, data science and machine learning. Prof. de Carvalho has more than 300 peer reviewed publications, including 10 best papers awards from conferences organized by ACM, IEEE and SBC. He is a member of the International Association for Statistical Computing (IASC) Council and director of the Center of Machine Learning in Data Analysis, University of São Paulo.

 

 

 

 

 

TITLE

Challenging classification tasks

ABSTRACT

One of the main applications of Artificial Intelligence is data classification. Most of the data classification problems reported in the literature deal with only two classes, static classes, classes that have the same level of importance and disjunctive classes. These may be named simple classification problems. In this talk, I will discuss advanced classification problems, like multiclass classification, hierarchical classification, multilabel classification, one-class classification and novelty detection. Research results on some of these issues will be presented.