S1： Nature-Inspired Optimization of Type-2 Fuzzy Logic Controllers

Title of Invited Talk: Nature-Inspired Optimization of Type-2 Fuzzy Logic Controllers

Abstract: The design of Type-2 fuzzy logic systems is a complex task and in general achieving an optimal configuration of structure and parameters is time consuming and rarely found. For this reason the use of nature-inspired metaheuristics offer a good hybrid solution to find near optimal design of type-2 fuzzy logic systems in real world applications. In particular, type-2 fuzzy control offers a real challenge because the problems in this area require very efficient and accurate solutions; in particular this is the case for robotic applications. In this talk we present a general scheme for optimizing type-2 fuzzy controllers with nature-inspired optimization techniques, like the chemical reaction algorithm, bee colony optimization and others.

Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation “Soft Computing and Fractal Theory for Intelligent Manufacturing”). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. In addition, he is serving as Research Director of Computer Science and head of the research group on Hybrid Fuzzy Intelligent Systems. Currently, he is President of HAFSA (Hispanic American Fuzzy Systems Association) and Past President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). He also belongs to the Technical Committee on Fuzzy Systems of IEEE and to the Task Force on “Extensions to Type-1 Fuzzy Systems”. He is also a member of NAFIPS, IFSA and IEEE. He belongs to the Mexican Research System (SNI Level 3). His research interests are in Type-2 Fuzzy Logic, Fuzzy Control, Neuro-Fuzzy and Genetic-Fuzzy hybrid approaches. He has published over 200 journal papers, 7 authored books, 25 edited books, and 300 papers in conference proceedings. He has been Guest Editor of several successful Special Issues in the past, like in the following journals: Applied Soft Computing, Intelligent Systems, Information Sciences, Non-Linear Studies, Fuzzy Sets and Systems, JAMRIS and Engineering Letters. He is currently Associate Editor of the Information Sciences Journal, Applied Soft Computing Journal, Granular Computing Journal and the IEEE Transactions on Fuzzy Systems. Finally, he has been elected IFSA Fellow and MICAI Fellow member last year.

S2: IoT analytics: from Big data to Fast and Smart Data

Abstract IoT is all the rage nowadays, and for a good reason. It can help us out in almost every action in our lives and Businesses:  from pocket-sized devices and other smart objects that we carry around or surrounding us at all times and everywhere, to smart factories and smart supply chains and recently we witness the emergence of Smart Cities.

In this context data is generated continuously as a stream by different sources such as smart objects, sensors, GPS, vehicles, stations to cite only few, with various formats such as JSON, XML, RSS, CSV … etc.

Considering the fast and massive data generated in smart cities platforms and the as well as the specific characteristics of Smart Cities Platforms regarding the need of getting them highly intuitive, interactive and adaptive (hence real time decision making and fast problem solving), approaching smart cities analytics using existing Big Data solutions seems to be an expensive and rather ineffective alternative.
In fact such solutions suffer from two major drawbacks: Semantic heterogeneity of generated data and the Scalability of data streams processing platforms.

In this talk Conceptual, technical and technological perspectives bringing together Fast Data, Smart Data and Soft Computing for IoT analytics will be discussed and explored.
Visualization and Research Reproducibility?

Nowadays, running tests and visualize simulations becomes an essential part of scientific findings validation and experimentation.  It  becomes  crucial  to  researchers  to  launch  simulations and scripts to evaluate  and  test  their  models  and  algorithms  on  computer platforms.  However,  research  dissemination  methods  suffer from  a  major  lack  in  that  they  do  not  allow  real test of the code and scripts used to validate the findings in the published papers. Furthermore, conventional simulation software have solely been designed to allow online and crowd sourcing, testing and visualization of implementations and experimentations outcomes.
In this speech, I’ll try to review the on-going development project of Exec&Share Platform as a Service simulation suites dedicated to research community. “Exec&Share” is supported by many academic and research organizations in many countries.
The platform enables scientists to openly collaborate, share and visualize the outcome and data underlying their research publications.
Relying on the powerful parallel processing feature of the grid-based platform and on its innovative concepts, the platform provides a Benchmarking features i.e. it  allows launching  effortlessly  and simultaneously  a  collection  of  simulations  codes  and  scripts  using  the  same  set  of  input  data  and  the  same  or  different running  environments.  Furthermore, the recent development of the platform will allow a very sophisticated features of Visual simulation and interactive visualization dedicated to many very important research domains including Bio-technology and Visualization of high frequency financial data.

Layth SLIMAN completed his Diploma in Computer Engineering. Then he obtained his masters in Computer Science (Information systems) in INSA Lyon- France and then his Phd from INSA Lyon, in collabration with the university of the Ryukyus, Japan.
In 2003, he underwent training in Development and Implementation program in Computer Software Applications in CMC-TATA, New Delhi, India. In the same year, he also underwent another training in Information and Communication Technologies in MEIO University and Okinawa International Center, Japan. In 2008, 2009 2010, 2012, 2013 and 2014 he did many research stays on Digital Rights Management and image processing in the University of the Ryukyus and Ritsumeikan University - Japan. During the period 2000-2010, he worked as lec-turer and assistant professor, did his research and taught Computer Engineering and Infor-mation Systems in many universities including INSA, Lyon, the university of the Ryukyus in Japan, Beijing University of Technology, South China University of Technology China, and the Insitute of Visual Informatics in Malaysia. Since September 2010 he is associate professor in EFREI, a French engineering school located in Paris. He is also the head of the Business Intel-ligence Program at EFREI, president of Olab-Dynamics Association for
Interdisciplinary Scientific Cooperation and Technology Transfer. His is a research fellow in many international institutes.
His main topic is Collaborative Information Systems. This involves many topics including Web 2.0, , IS Architecture, IoT Security, Cloud Computing, SaaS, Semantic Web and semantic SOA.