Wednesday, 12 December 2012

IEEE Transactions on Fuzzy Systems: Volume 20 Issue 6

1. Robust Nonfragile H_\infty Filtering of Fuzzy Systems With Linear Fractional Parametric Uncertainties
Chang, X-.H.
Page(s): 1001 - 1011

2.  Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Chen, B.; Liu, X. P.; Ge, S. S.; Lin, C.
Page(s): 1012 - 1021

3. Robust Control for Fuzzy Dynamical Systems: Uniform Ultimate Boundedness and Optimality
Huang, J.; Chen, Y-.H.; Cheng, A.
Page(s): 1022 - 1031

4. An Extension of Fuzzy Measures to Multisets and Its Relation to Distorted Probabilities
Torra, V.; Stokes, K.; Narukawa, Y.
Page(s): 1032 - 1045

5. Observer-Based Piecewise Affine Output Feedback Controller Synthesis of Continuous-Time T–S Fuzzy Affine Dynamic Systems Using Quantized Measurements
Qiu, J.; Feng, G.; Gao, H.
Page(s): 1046 - 1062

6. A Global Exponential Fuzzy Observer Design for Time-Delay Takagi–Sugeno Uncertain Discrete Fuzzy Bilinear Systems With Disturbance
Tsai, S.-H.
Page(s): 1063 - 1075

7. Improved Structure Optimization for Fuzzy-Neural Networks
Pizzileo, B.; Li, K.; Irwin, G. W.; Zhao, W.
Page(s): 1076 - 1089

8. A Kernel-Based Framework for Learning Graded Relations From Data
Waegeman, W.; Pahikkala, T.; Airola, A.; Salakoski, T.; Stock, M.; De Baets, B.
Page(s): 1090 - 1101

9. Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking
Tehrani, A. F.; Cheng, W.; Hullermeier, E.
Page(s): 1102 - 1113

10. A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay
Su, X.; Shi, P.; Wu, L.; Song, Y-.D.
Page(s): 1114 - 1129

11. Fuzzy c-Means Algorithms for Very Large Data
Havens, T. C.; Bezdek, J. C.; Leckie, C.; Hall, L. O.; Palaniswami, M.
Page(s): 1130 - 1146

12. TSK Fuzzy CMAC-Based Robust Adaptive Backstepping Control for Uncertain Nonlinear Systems
Lin, C.-M.; Li, H.-Y.
Page(s): 1147 - 1154

13. Uncertain Alternating Renewal Process and Its Application
Yao, K.; Li, X.
Page(s): 1154 - 1160

14. LMI Solution for Robust Static Output Feedback Control of Discrete Takagi–Sugeno Fuzzy Models
Chadli, M.; Guerra, T. M.
Page(s): 1160 - 1165

15. Relaxed Stabilization Criterion for T–S Fuzzy Systems by Minimum-Type Piecewise-Lyapunov-Function-Based Switching Fuzzy Controller
Chen, Y-.J.; Ohtake, H.; Tanaka, K.; Wang, W-.J.; Wang, H. O.
Page(s): 1166 - 1173

Thursday, 29 November 2012

Database of University Courses on Computational Intelligence

This post is on behalf of the IEEE Computational Intelligence Society's University Curricula Subcommittee.

The IEEE Computational Intelligence Society has a database on over 100 courses of various aspects computational intelligence taught at undergraduate and graduate levels all over the world. If you are interested in learning about the existing courses or intend to list your own course, which could be accessed by students and teachers please visit the CIS University Curriculum web site

Wednesday, 28 November 2012

Webinar by Prof. Oscar Cordon, "An automatic method for forensic identification based on soft computing techniques”

The webinar is originated in Spain on December 4th, 2012 at: 11:00 am Central European Time (CET) (UTC) + 1).

Title: An automatic method for forensic identification based on soft computing techniques

This talk will be focused on the development of an automatic method to assist
forensic anthropologists in the identification of deceased people through
craniofacial superimposition. This skeleton-based forensic identification
technique is based on overlaying a photograph of the missing person and a
graphical model of the skull found to determine if they correspond to the same
person. The introduced intelligent system considers the use of fuzzy sets and
evolutionary algorithms for the automatic reconstruction of tridimensional
models of human skulls and for the automatic 3D skull model – 2D face
photograph overlay. The resulting computational intelligence-based system is
the outcome of a coordinated project between the European Centre for Soft
Computing and the University of Granada’s Physical Anthropology Lab. It is
protected by an international patent and is currently under commercialization
in Mexico. The results obtained in several real-world cases solved by the
latter Lab in cooperation with the Spanish Scientific Police will be reported.
Besides, the development also supports a recently launched European project
coordinated by the European Centre for Soft Computing entitled "New
Methodologies and Protocols on forensic identification by Craniofacial
Superimposition (MEPROCS)".


Dr. Oscar Cordon (SM’11) is a Full Professor with the University of Granada (UGR), Granada, Spain. He was the founder and leader of that University’s
Virtual Learning Center between 2001 and 2005. From 2006 to 2011 he was one of the founding researchers of the European Centre for Soft Computing,
Mieres, Spain, in his role of Principal Researcher, and he is still contracted as Scientific Consultant at the Centre.

He has been, for more than 15 years, an internationally recognized contributor to R&D Programs in fuzzy systems, evolutionary algorithms, and ant
colony optimization. He has published around 280 peer-reviewed scientific publications including a research book on genetic fuzzy systems and 67
JCR-SCI-indexed journal papers, advised 13 Ph.D. dissertations, participated in 34 research projects and contracts (coordinating 20 of them),
co-edited 8 special issues in international journals and 3 research books, and given 12 plenary talks in national and international conferences.
By November 2012, his publications had received 2003 citations, carrying an h index of 23, and being included in the 1% of most-cited researchers
in the world (source: Thomson Reuters's Web of Knowledge. 6472 citations and h index of 38 in ScholarGoogle). He also has an approved international
patent on an intelligent system for forensic identification that is being commercialized in Mexico. He is Associate Editor of 11 international
journals and was recognized as the IEEE TRANSACTIONS ON FUZZY SYSTEMS Outstanding Associate Editor in 2008. He is a reviewer for more than 30
international journals. Since 2004, he has taken many different representative positions with Eusflat and the IEEE Computational Intelligence
Society (CIS). He is currently a member of the IEEE CIS AdCom (term 2010–2012).

Prof. Cord\'on received the UGR Young Researcher Career Award in 2004. In July 2010, he received the IEEE CIS Outstanding Early Career Award in its 2011
edition, the first such award conferred. In 2011, his developments on soft computing methods in forensic identification were recognized with the IFSA
Award for Outstanding Applications of Fuzzy Technology and with the granting of the EUSFLAT Best Ph.D. Thesis Award to Dr. Ibanez's PhD dissertation,
co-advised by Dr. Cord\'on.

The webinar will be held using the "WebEx software" where registration is required.
Event number: 592 782 687
Event password: This event does not require a password.
Host key: 613896 (Use this to reclaim host privileges.)
To start the online event
At least 30 minutes before the starting time:
2. Log in to your host account if you have not yet done so.
3. On the Event Information page that appears, click "Start Now".
Teleconference information
To receive a call back, provide your phone number when you join the event, or call the number below and enter the access code.
Call-in toll-free number: 1-866-2030920 (US)
Call-in number: 1-206-4450056 (US)
Leader PIN: 89215
Conference Code: 392 454 6130
IMPORTANT NOTICE: This WebEx service includes a feature that allows audio and any documents and other materials exchanged or viewed during the session to be recorded. You should inform all meeting attendees prior to recording if you intend to record the meeting. Please note that any such recordings may be subject to discovery in the event of litigation.
Note: You can call (1-866-2030920) using Skype for free

Friday, 23 November 2012

IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 12, December 2012

1. Title: Unsupervised Learning by Minimal Entropy Encoding
Authors: Stefano Melacci; Marco Gori
Page(s): 1849 - 1861

2. Title: Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior
Authors: Sotirios P. Chatzis; Yiannis Demiris
Page(s): 1862 - 1871

3. Title: Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains
Authors: Chao Zhang; Dacheng Tao
Page(s): 1872 - 1883

4. Title: Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear $H_{infty}$ Control
Authors: Huai-Ning Wu; Biao Luo
Page(s): 1884 - 1895

5. Title: Cost-Sensitive Sequences of Bregman Divergences
Authors: Raúl Santos-Rodríguez; Jesús Cid-Sueiro
Page(s): 1896 - 1904

6. Title: Noise-Tuning-Based Hysteretic Noisy Chaotic Neural Network for Broadcast Scheduling Problem in Wireless Multihop Networks
Authors: Ming Sun; Yaoqun Xu; Xuefeng Dai; Yuan Guo
Page(s): 1905 - 1918

7. Title: Exponential Stabilization of Memristive Neural Networks With Time Delays
Authors: Ailong Wu; Zhigang Zeng
Page(s): 1919 - 1929

8. Title: Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast
Authors: Suviseshamuthu Easter Selvan; Umberto Amato; Kyle A. Gallivan; Chunhong Qi;
Maria Francesca Carfora; Michele Larobina; Bruno Alfano
Page(s): 1930 - 1947

9. Title: Sparse Approximation to the Eigensubspace for Discrimination
Authors: Zhihui Lai; Wai Keung Wong; Zhong Jin; Jian Yang; Yong Xu
Page(s): 1948 - 1960

10. Title: Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns
Authors: Yoshikazu Washizawa
Page(s): 1961 - 1973

11. Title: Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier
Authors: Zhihong Man; Kevin Lee; Dianhui Wang; Zhenwei Cao; Suiyang Khoo
Page(s): 1974 - 1986

12. Title: Compositional Generative Mapping for Tree-Structured Data—Part I: Bottom-Up Probabilistic Modeling of Trees
Authors: Davide Bacciu; Alessio Micheli; Alessandro Sperduti
Page(s): 1987 - 2002

13. Title: Real AdaBoost With Gate Controlled Fusion
Authors: Efraín Mayhua-López; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal
Page(s): 2003 - 2009

Monday, 19 November 2012

CFP: 2013 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 20103, 15-19 April 2013, Singapore

CALL For Contributions


LISTING OF PLANNED KEYNOTES & TUTORIALS (more will be included to this listing):


To  submit a paper, please go to:


Tutorial \ Keynote Proposal Submission: Before 15th Jan 2013

Tutorial \ Keynote Decision Notification: 10 Feb 2013


Paper submission     23 Nov 2012 (submission will remain open for some days beyond deadline)
                        05 Jan 2013
Final submission:
        05 Feb 2013
Early Registration:
      05 Feb 2013


2013 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2013
15-19 April 2013, Singapore

IEEE SSCI 2013 is one of the two flagship biennial international events sponsored by the IEEE Computational Intelligence Society (IEEE CIS) promoting all aspects of the theory and applications of computational intelligence. The IEEE SSCI co-locates several technical meetings at one location. This event attracts top researchers, professionals, and students from around the world. The IEEE SSCI 2013 (Singapore) now calls contributions from experts around the world. Please visit the IEEE SSCI 2013's web pages to learn more about the relevant topics and proposal submission procedures. The conference proceedings of the IEEE SSCI have always been included in the IEEE Xplore and indexed by all other important databases. For example, the proceedings of the IEEE SSCI 2011 have already been included in the IEEE Xplore and indexed by databases such as EI, SCOPUS, etc.


ADPRL 2013, IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Marco Wiering, The Netherlands;
Jagannathan Sarangapani, USA; Huaguang Zhang, China.

IEEE ALIFE 2013, IEEE Symposium on Artificial Life, Terry Bossomaier, Australia; Chrystopher L. Nehaniv, UK; Hiroki Sayama, USA.

CCMB 2013, IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Leonid Pervlovsky, USA;
Damien Coyle, UK; Kai Keng Ang, Singapore; Jose F Fontanari, Brazil; Robert Kozma, USA.

CIASG 2013, IEEE Symposium on Computational Intelligence Applications in Smart Grid, Ganesh K Venayagamoorthy, USA;
Jung-Wook Park, Korea; Haibo He, USA.

CIBCB 2013, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Jung-Hsien Chiang,
Taiwan; Pau-Choo (Julia) Chung, Taiwan.

CIBIM 2013, IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, David Zhang, Hong Kong;
Qinghan Xiao, Canada; Fabio Scotti, Italy.


CIC 2013, IEEE Symposium on Computational Intelligence for Creativity, Chuan-Kang Ting, Taiwan;

Francisco Fernández de Vega Spain; Palle Dahlstedt, Sweden;

CICA 2013, IEEE Symposium on Computational Intelligence in Control and Automation, Xiao-Jun Zeng, UK.


CICARE 2013, IEEE Symposium on Computational Intelligence in Healthcare and e-health, Amir Hussain, UK; Calum MacRae,

Harvard Medical School, USA; Warner Slack, Harvard Medical School, Boston, USA.

CIComms 2013, IEEE Symposium on Computational Intelligence for Communication Systems, Maode Ma, Singapore; Paolo Rocca,
Italy; Sasitharan Balasubramaniam, Ireland.

CICS 2013, IEEE Symposium on Computational Intelligence in Cyber Security, Dipankar Dasgupta, USA; Justin Zhan, USA;
Kumaraguru Ponnurangam, India.

CIDM 2013, IEEE Symposium on Computational Intelligence and Data Mining, Barbara Hammer, Germany; Zhi-Hua Zhou, China;
Lipo Wang, Singapore; Nitesh Chawla, USA.

CIDUE 2013, IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, Yaochu Jin, UK;
S Yang, UK; Robi Polikar, USA.

CIES 2013, IEEE Symposium on Computational Intelligence for Engineering Solutions, Michael Beer, UK;
Vladik Kreinovich, USA; Rudolf Kruse, Germany.

CIEL 2013, IEEE Symposium on Computational Intelligence and Ensemble Learning, Nikhil R Pal, India; Xin Yao, UK;
P N Suganthan, Singapore.

CIFEr 2013, IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, Shu-Heng Chen, Taiwan;

Robert Golan, USA; Han La Poutre, The Netherlands; Ronald R. Yager, USA.

CIfIoT 2013, IEEE International Workshop on Computational Intelligence for the Internet of Things, Antonio Manzalini, Italy;

Hussein Mouftah, Canada; Vincenzo Piuri, Italy.
CIHLI 2013, IEEE Symposium on Computational Intelligence for Human-like Intelligence, Jacek Mandziuk, Poland;
 Wlodzislaw Duch, Poland.


CII 2013, IEEE Symposium on Computational Intelligence in Industry, Piero Bonissone, USA; Keeley Crockett, UK;
Cristian Figueroa, Chile; Emilio Corchado, University of Salamanca, Spain.

CIMI 2013, IEEE International Workshop on Computational Intelligence in Medical Imaging, Gerald Schaefer, UK;
Sergio Damas, Spain.

CIMSVP 2013, IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing,
K M Iftekharuddin, USA; S Bouzerdoum, Australia.

CIPLS 2013, IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Bülent Çatay, Turkey;
Raymond Chiong, Australia; Patrick Siarry, France.

CIRAT 2013, IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies,
Guilherme N DeSouza,USA; Shuzhi Sam Ge, Singapore.

CISched 2013, IEEE Symposium on Computational Intelligence in Scheduling, Rong Qu, UK; Ling Wang, China;
Quanke Pan, Liaocheng University, China.

CISDA 2013, IEEE Symposium on Computational Intelligence for Security and Defense Applications, Akira Namatame, Japan;
Nur Zincir-Heywood, Canada; Rami Abielmona, Canada.

CIVI 2013, IEEE Workshop on Computational Intelligence for Visual Intelligence, Guilherme N DeSouza, USA;
Yuanqiang (Evan) Dong, USA.

CIVTS 2013, IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Dimitar Filev, USA;
Danil Prokhorov, USA.

CompSens 2013, IEEE Workshop on Merging Fields of Computational Intelligence and Sensor Technology,
Ivo Bukovsky, Czech Republic; Torsten Wagner, Japan

EAIS 2013, IEEE Symposium on Evolving Adapting Intelligent Systems, Plamen Angelov, UK; Dimitar Filev, USA;
Nikola Kasabov, New Zealand.

FOCI 2013, IEEE Symposium on Foundations of computational Intelligence, Manuel Ojeda-Aciego, Spain; Carlos Cotta, Spain.

GEFS 2013, IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, Rafael Alcala, Spain;
Yusuke Nojima, Japan.

HIMA 2013, IEEE Workshop on Hybrid Intelligent Models and Applications, Patricia Melin, Mexico;
Sanghamitra Bandyopadhyay, India.

IA 2013, IEEE Symposium on Intelligent Agents, Hani Hagras, UK; Vincenzo Loia, Italy.

ICES 2013, IEEE International Conference on Evolvable Systems - From Biology to Hardware, Andy M Tyrrell, UK;
Pauline C Haddow, Norway.

MC 2013, IEEE Symposium on Memetic Computing, Zexuan Zhu, China; Maoguo Gong, China; Ji Zhen, China;
Yew-Soon Ong, Singapore.

MCDM 2013, IEEE Symposium on Multicriteria Decision-Making , Carlos A Coello Coello, Mexico; Piero Bonissone, USA;
Yaochu Jin, UK.

OC 2013, IEEE Workshop on Organic Computing, Rolf Würtz, Germany.

QCCI 2013, IEEE Symposium on Quantum Computing and Computational Intelligence, William N N Hung, USA;
Swagatam Das, India; Marek Perkowski, USA.

RiiSS 2013, IEEE Workshop on Robotic Intelligence in Informationally Structured Space, Honghai Liu, UK;
Naoyuki Kubota, Japan.

SDE 2013, IEEE Symposium on Differential Evolution, Janez Brest, Slovenia; Swagatam Das, India;
Ferrante Neri, Finland; P N Suganthan, Singapore.

SIS 2013, IEEE Swarm Intelligence Symposium, Yuhui Shi, P. R. China; P N Suganthan, Singapore.

T2FUZZ 2013, IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems,
Simon Coupland, UK;

Woeiwan Tan, National University of Singapore, Singapore

WACI 2013, Workshop on Affective Computational Intelligence, Jean-Claude Martin, France, Marie-Jeanne Lesot, France;

Maria Rifqi, France.

Wednesday, 24 October 2012

IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 11, November 2012

1. Decirculation Process in Neural Network Dynamics
Authors: Mau-Hsiang Shih; Feng-Sheng Tsai
Page(s): 1677 - 1689

2. Robust Support Vector Regression for Uncertain Input and Output Data
Authors: Gao Huang; Shiji Song; Cheng Wu; Keyou You
Page(s): 1690 - 1700

3. Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural
Authors: Sjoerd van den Dries; Marco A. Wiering
Page(s): 1701 - 1713

4. Global Tracking Control of Strict-Feedback Systems Using Neural Networks
Authors: Jeng-Tze Huang
Page(s): 1714 - 1725

5. Unsupervised Learning of Categorical Data With Competing Models
Authors: Roman Ilin
Page(s): 1726 - 1737

6. Discriminative Least Squares Regression for Multiclass Classification and
Feature Selection
Authors: Shiming Xiang; Feiping Nie; Gaofeng Meng; Chunhong Pan; Changshui Zhang
Page(s): 1738 - 1754

7. Decentralized Asynchronous Learning in Cellular Neural Networks
Authors: Bipul Luitel; Ganesh Kumar Venayagamoorthy
Page(s): 1755 - 1766

8. Boosted Network Classifiers for Local Feature Selection
Authors: Timothy Hancock; Hiroshi Mamitsuka
Page(s): 1767 - 1778

9. Semisupervised Classification With Cluster Regularization
Authors: Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao
Page(s): 1779 - 1792

10. Latent Feature Kernels for Link Prediction on Sparse Graphs
Authors: Canh Hao Nguyen; Hiroshi Mamitsuka
Page(s): 1793 - 1804

11. Innovative Second-Generation Wavelets Construction With Recurrent Neural
Networks for Solar Radiation Forecasting
Authors: Giacomo Capizzi; Christian Napoli; Francesco Bonanno
Page(s): 1805 - 1815

12. Multistability of Neural Networks With Mexican-Hat-Type Activation Functions
Authors: Lili Wang; Tianping Chen
Page(s): 1816 - 1826

13. Convergence Analyses on On-Line Weight Noise Injection-Based Training
Algorithms for MLPs
Authors: John Sum; Chi-Sing Leung; Kevin Ho
Page(s): 1827 - 1840

14. Time Series Modeling and Forecasting Using Memetic Algorithms for
Regime-Switching Models
Authors: Christoph Bergmeir; Isaac Triguero; Daniel Molina; José Luis Aznarte; José
Manuel Benítez
Page(s): 1841 - 1847

Wednesday, 17 October 2012

[Webinar] On the Temporal Granularity on Fuzzy Cognitive Maps

Prof. Giovanni Acampora, Prof. Vincenzo Loia, and PhD. Candidate Autilia Vitiello, will be giving a webinar to our society that is entitled "On the Temporal Granularity on Fuzzy Cognitive Maps". The webinar is originated in Netherlands and Italy on October 30th, 2012. at 3:00 pm Central European Time (CET) (UTC) + 1).
The webinar will be held using the "GoToWebinar software" where registration is required. The link is:

Title: On the Temporal Granularity on Fuzzy Cognitive Maps

The theory of fuzzy cognitive maps (FCMs) is a powerful approach to
modeling human knowledge that is based on causal reasoning. Taking
advantage of fuzzy logic and cognitive map theories, FCMs enable
system designers to model complex frameworks by defining degrees of
causality between causal objects. They can be used to model and
represent the behavior of simple and complex systems by capturing
and emulating the human being to describe and present systems in
terms of tolerance, imprecision, and granulation of information.
However, FCMs lack the temporal concept that is crucial in many
real-world applications, and they do not offer formal mechanisms to
verify the behavior of systems being represented, which limit
conventional FCMs in knowledge representation. In this webinar, we
present a temporal extension to FCMs by exploiting a theory from
formal languages, namely, the timed automata, which bridges the
aforementioned inadequacies. Indeed, the theory of timed automata
enables FCMs to effectively deal with a double-layered temporal
granularity, extending the standard idea of B-time that
characterizes the iterative nature of a cognitive inference engine
and offering model checking techniques to test the cognitive and
dynamic comportment of the framework being designed. As shown
through experiments, where the proposed approach has been evaluated
by simulating a complex municipality garbage collection system,
TAFCMs improve conventional FCMs by yielding better performance in
terms of representation of dynamic systems behavior.

Giovanni AcamporaDr. Giovanni Acampora received the Laurea (cum laude) and Ph.D.
degrees in Computer Science from the University of Salerno, Salerno,
Italy, in 2003 and 2007, respectively. Since July 2012, he is an
Assistant Professor at the School of Industrial Engineering,
Information Systems, Eindhoven University of Technology, the
Netherlands. From March 2007 to March 2012, he has been a Research
Associate in the Department of Mathematics and Computer Science,
University of Salerno. He was also a Member of the Multi-Agent
Laboratory at the University of Salerno and scientific co-responsible
of the CORISA Research Centre. From September 2003 to June 2007, he
was also in CRDC-ICT Domotic project, where he was engaged in the
research on multi-agent systems and artificial intelligence applied to
ambient intelligence environments. In this context, he designed and
developed the Fuzzy Markup Language, an XML-based environment for
modeling transparent fuzzy systems. Currently, FML is under
consideration by IEEE Standard Association to become the first
standard in the field of computational intelligence. His current
research interests include novel algorithms design approaches inspired
by natural systems as swarm intelligence, evolutionary, and memetic
strategies, investigating the designing of novel human–computer
interaction systems based on integration among haptic hardware,
virtual reality and augmented reality technologies, formal methods
from language theory area, and on the study of temporal effects on the
behavior of fuzzy systems modeled through fuzzy controllers and fuzzy
cognitive maps. He has written some seminal papers on ambient
intelligence and, in particular, his work about fuzzy computation in
smart environments is one of the most cited paper of IEEE Transactions
on Industrial Informatics.

Dr. Acampora serves as reviewer and associate and guest editor for
several international journals and conferences.

Dr. Acampora is the chair of the IEEE Computational Intelligence
Society Standards Committee. In this context, he also served as Chair
of Task Force on Taxonomy and Terminology and Vice-Chair of Task Force
on New Standard Proposal. From 2010, he serves as Secretary and
Treasurer of Italian Chapter of IEEE Computational Intelligence
Society. Currently he is chairing the IEEE Standard Association P1855
Workgroup related to the FML standardization process.

Vincenzo Loia
Dr. Vincenzo Loia (SM’08) received the Bachelor’s degree in computer
science from the University of Salerno, Fisciano, Italy, in 1984 and
the Ph.D. degree in computer science from the University of Paris VI,
Paris, France, in 1989. Since 1989, he has been a Faculty member with
the University of Salerno, where he teaches Operating Systems,
Semantic Web, and Multi-Agents Systems. He is currently a Full
Professor of computer science with the Department of Mathematics and
Computer Science. He is the author of more than 190 original research
papers in international journals, e-book chapters, and international
conference proceedings. His current research interests include merging
soft computing and agent technology to design technologically complex
environments, with particular interest in web intelligence
applications. Dr. Loia is the Co-Editor-in-Chief of Soft Computing and
the Editor-in-Chief of Ambient Intelligence and Humanized Computing.
He serves as an Editor for 14 other international journals. He has
been the Chair of the Emergent Technologies Technical Committee of the
IEEE Computational Intelligence Society, where he is currently the
Chair the of Task Force Intelligent Agents.

 Autilia Vitiello
Autilia Vitiello ( a PhD candidate) received the Laurea degree in Computer Science (cum
laude) from the University of Salerno (Italy) in 2009, discussing the
thesis "Time Sensitive Fuzzy Agents: formal model and implementation"
(advisor Prof. Vincenzo Loia). She is currently a PhD student at
Department of Computer Science of the University of Salerno under the
supervision of Prof. Vincenzo Loia and Dr. Giovanni Acampora. Her
research interests concern computational intelligence, and in
particular, fuzzy logic and knowledge representation theories. In last
years, she is working on evolutionary algorithms, above all, like
means to solve the ontology alignment problem.