2017 IEEE Computational Intelligence Summer School @ Ecuador

2017 IEEE CIS Summer School on Computational Intelligence Theory and Applications

The IEEE Ecuador Section CIS Chapter, and the IEEE ETCM 2017, invite you to participate in the “IEEE CIS 2017 Summer School”, which will take place in Samborondón and Salinas, Ecuador, from the 17th to the 20th of October 2017.

The IEEE-CIS 2017 Summer School is offering the opportunity to discuss the state-of-the-art research and developments in Computational Intelligence (Neural Networks, Fuzzy Logic, and Evolutionary Computation), as well as to share the knowledge about Computational Intelligence by presenting algorithms, mathematical models and their application in different areas, such as pattern recognition, data mining, astronomy, biomedical science and engineering, signal processing, business intelligence, among others.

Venue and Dates

This School on Computational Intelligence will be the first of its kind in Ecuador, and it will be part of the Second IEEE Ecuador Technical Chapters Meeting – IEEE ETCM 2017. This summer school will be a 4-days event, jointly organized by the Ecuadorian Chapter of the IEEE Computational Intelligence Society (CIS), and the following universities from Ecuador: Escuela Superior Politécnica del Litorial – ESPOL, Universidad de Especialidades Espíritu Santo – UEES, and Escuela Politécnica Nacional – EPN.

During the first day (October 17,2017) of the summer school, we will have two tutorials, both of them will take place at the UEES labs. The last three days of the summer school (October 18-20, 2017) include plenary talks and a Doctoral Symposium; all these activities will take place at the Hotel Barceló at Salinas.

Plenary Talks

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  • Speaker 1: Daniel Alvarez-Torres

Affiliation: Chief Technology Officer IBM, Ecuador Topic: Watson

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  • Speaker 2: Fernando Buarque

Affiliation: Escola Politécnica de Pernambuco, Brazil Topic: Why Swarm Intelligence seems so appealing for complex problem solving

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  • Speaker 3: Pablo Estevez

Affiliation: Department of Electrical Engineering University of Chile Topic: Big Data, Astronomy, Computational Intelligence (To be confirmed)

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  • Speaker 4: Marco E. Benalcázar

Affiliation: Escuela Politécnica Nacional, Ecuador Topic: Machine Learning

Tutorials

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  • Tutor 1: Carmen Vaca

Affiliation: Escuela Superior Politécnica del Litoral – ESPOL University Topic: Web Data Analytics

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  • Tutor 2: Daniel Alvarez-Torres

Affiliation: Chief Technology Officer IBM, Ecuador Topic: Watson

Doctoral Symposium in Computational Intelligence

The Doctoral Symposium on Computational Intelligence is intended to bring together Ph.D. students within the computational intelligence field to discuss their research in an international forum. More precisely, the Doctoral Symposium will provide students with an opportunity to:

  • Present their research work in a scientific environment
  • Receive feedback and suggestions from peers and experienced faculty
  • Gain an overview of the breadth and depth of the computational intelligence field
  • Obtain insight into directions for computational intelligence research taken by other doctoral candidates
  • Discuss concerns about research, the job market, and other issues
  • Network with peers and future colleagues

Thus, this symposium will help to shape the ongoing and future research projects aimed at computational intelligence and will also promote scholarships and networking among new researchers in this emerging interdisciplinary area. This symposium will also expose these promising young researchers to the larger global community.

Advisory Board

The Doctoral Symposium advisory board will comment each presentation and at the end of the Symposium there will be a general discussion, including an analysis about the current and future research topics in the area.

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  • Advisor 1: Pablo Estevez

Affiliation: Department of Electrical Engineering University of Chile

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  • Advisor 2: Fernando Buarque

Affiliation: Escola Politécnica de Pernambuco, Brazil

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  • Advisor 3: Enrique Peláez

Affiliation: Escuela Superior Politécnica del Litoral – ESPOL University, Ecuador

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  • Advisor 4: Marco E. Benalcázar

Affiliation: Escuela Politécnica Nacional, Ecuador

Doctoral Symposium Requirements and Rules
  • It is open only to Doctoral or Ph.D. Students.
  • Each student with an accepted paper at the Doctoral Symposium must register and attend the ETCM: a special student fee applies.
  • Each paper must be presented by the student.
  • Submissions will be judged mainly on relevance, originality, technical quality and clarity.
  • Paper length: up to 6 pages, following the conference-paper templates in Word or LaTeX provided by IEEE.
  • Papers must be written in MS-Word or Latex including the following information:
    • research problem.
    • outline of objectives.
    • state-of-the-art.
    • methodology.
    • expected outcome
    • stage of the research.

Registered papers will be included in the proceedings of the conference and the papers presented at the venue will also be submitted to be included in the IEEE Xplore.

Important Dates for the Doctoral Symposium
Full Paper Submission Deadline: 7 July 2017
Notification of Acceptance: 31 July 2017
Final Paper Submission: 15 August 2017
EarlyBird Registration: 18 September 2017
Workshops & Tutorials: 17 October 2017 (Samborondón city)
Plenary talks and Doctoral Symposium: 18-20 October 2017 (Salinas city)
How to Apply to the Doctoral Symposium

Please submit your papers to the EasyChair platform using the following link, Doctoral Symposium track: https://easychair.org/conferences/?conf=etcm2017 All papers will be crossed checked for plagiarism before the review process.

IEEE Policy

IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore®) if the paper is not presented at the conference. Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and IEEE ETCM 2017 will take actions against any author who has engaged in either practice.

All papers will be cross-examined using anti-plagiarism automated software tools. PLEASE NOTE: To be published in the IEEEE TCM 2017 Conference Proceedings and IEEE Xplore®, an author of an accepted paper is required to register for the conference. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For authors with multiple accepted papers, one registration is valid for up to 2 papers. Accepted papers will be published in the IEEE ETCM 2017 Conference Proceedings. Accepted and presented papers will be published in the IEEE ETCM 2017 Conference Proceedings and submitted to IEEE Xplore®.

Accepted students must be ready to:

  1. Make an 8-minute presentation of the Ph.D. project (4 slides max) to be used for introducing a discussion about the project and its main issues during the small group sessions.
  2. Prepare a poster about the Ph.D. for the main conference poster session.
Best Ph.D. Project Award

A "Best PhD Project Award" will be conferred to the student of a paper presented at the Doctoral Symposium, selected by the Doctoral Symposium Chair, based on the combination of paper reviewing marks and the feedback of the Advisory Board. The award will be announced at the conference closing session. The author of an awarded paper will receive:

  • A signed and stamped official award certificate.
  • A plaque from IEEE Ecuador Section in recognition for the achievement.
  • The announcement of their achievement on a special conference webpage.
Summer School Committee

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  • General Chair: Marco E. Benalcázar

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  • Honorary Chair: Pablo Estevez

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  • Plenary Talks Chair: Carmen Vaca

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  • Tutorials Chair: Dennis Romero

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  • Doctoral Symposium Chair: Enrique Peláez

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  • Doctoral Symposium Co-Chair: Diego Hernán Peluffo

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  • Publicity Chair: María Pérez

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  • Social Events Chair: Carlos Monsalve
Registration and Accommodation

Registration fee for IEEE Students: $ 245
Registration fee for Students: $ 285
Registration fee for IEEE Members: $ 400
Registration fee for Professionals: $ 500

Benefits that the registration fee will include
  • Transportation from Guayaquil to Salinas, and from Salinas to Guayaquil
  • Participant materials (bag, booklet, pen, etc.)
  • Access to all lectures
  • Access to all tutorials
  • Access to other ETCM activities (in Salinas)
  • Coffee breaks, banquet
  • Social event
  • A certificate for participation of the “IEEE CIS” Summer School
  • A certificate for participation of the IEEE ETCM 2017
  • Accommodation in Salinas (only for IEEE members (non-student grades) and Professionals fees – on triple occupancy – all-inclusive hotel that includes three meals per day)
Registration deadline: 15/09/2017

Payment methods: VISA, MasterCard, Diners Club, American Express, bank deposit. Details about recommended accommodation and room price: IEEE members (non-student grades) and Professionals registration fees include accommodation in Salinas (on triple occupancy, all-inclusive hotel).

The recommended accommodation in Salinas is in the same hotel where the event will be held. It is an all-inclusive hotel. Only students (including IEEE students) need to pay an extra fee for the hotel in Salinas. It has been considered on triple occupancy. Any participant can pay for a room upgrade (double or single room); fees are considered as an additional over the triple occupancy fee.

Room type Price (per day)
Guayaquil- Hotel Guayaquil – standard single room 78
Guayaquil – Hotel Guayaquil – standard double room 82
Salinas – Hotel Barceló – standard triple room (all-inclusive) 65
Salinas – Hotel Barceló – upgrade to double occupancy (all-inclusive) +10
Salinas – Hotel Barceló – upgrade to single occupancy (all-inclusive) +75
Transportation Details

Salinas is a beach resort located 124 km from Guayaquil, and part of the Santa Elena peninsula. Address: Hotel Barceló -Salinas, Malecón de Salinas

Transportation: Salinas is accessible from Guayaquil via the “ruta del spondylus” road. There are public transportation companies that regularly travel to Salinas: LIBERPESA, CLP and COSTA AZUL. From Quito it is possible to get to Salinas by plane; TAME, the National Airline Company has a regular frequency to Salinas. More information can be found at: http://www.rutadelspondylus.com/, and https://en.wikipedia.org/wiki/Salinas,_Ecuador.

Sponsors

More information and details can be found at: site.ieee.org/etcm-2017/doctoral-symposium

Copyright © 2017 IEEE, All rights reserved.

IEEE CIS Workshop: Trends, Challenges and Opportunities of Computational Intelligence

IEEE Computational Intelligence Society Workshop Trends, Challenges and Opportunities of Computational Intelligence

9:00 – 13:00, April 1st, 2016 (Friday) 
Auditorium «Facultad de Ciencias Sociales y Humanísticas» 
Campus: ESPOL – Gustavo Galindo V. Km 30.5 Av. Perimetral, Guayaquil – Ecuador

The IEEE Computational Intelligence Society (CIS) Workshop will address trends, challenges, opportunities and applications of computational intelligence techniques for problem solving. The lectures will be given by the executive officers of the IEEE CIS. Each member of the Executive Committee is an internationally recognized researcher from different areas in computational intelligence. This workshop is entirely free and open to everyone who is keen on finding out the latest developments and hot topics in computational intelligence and its innovative applications.

Tentative Program

9:00 – 9:05

Welcome and brief introduction

Enrique Peláez, ICT Research Center Director, ESPOL University

9:15 – 9:30

Opening remarks

Sergio Flores M. Rector of ESPOL University

9:15 – 9:30

Why IEEE CIS

Pablo Estevez, President IEEE Computational Intelligence Society, Professor Department of Electrical Engineering University of Chile.

9:30 – 10:00

Multi-objective ensemble learning and its applications

Xin Yao, Distinguished Lecturer of IEEE Computational Intelligence Society. Professor of Computer Science at the University of Birmingham, UK.

10:00 – 10:30

Intelligence for cyber-physical and embedded systems

Cesare Alippi, Vice-President Education of the IEEE Computational Intelligence Society. Professor of information processing systems at Politecnico di Milano.

10:30 – 11:00

Inertial Sensor Based Wearable Devices on Healthcare

Pau-Choo (Julia) Chung, IEEE CIS VP Members Activities.

11:00 – 11:20

11:20 – 11:50

Similarities in fuzzy data mining

Bernadette Bouchon-Meunier, VP Conferences of the IEEE Computational Intelligence Society, Director of Research of National Center for Scientific Research, France.

11:50 – 12:20

Big Data Era Challenges and Opportunities in Astronomy- How Computational Intelligence Can Contribute?

Pablo Estevez, President IEEE Computational Intelligence Society, Professor Department of Electrical Engineering University of Chile.

12:20 – 12:50

Can we make my Neural Network say «Don’t know» when it should?

Nikhil R Pal, an INAE Chair Professor in the Electronics and Communication Sciences Unit of the Indian Statistical Institute.

12:50 – 13:00

Closing remarks

Carlos Monsalve, Chair IEEE Ecuador. Profesor at ESPOL University.

For registration visit our web site: http://goo.gl/forms/KCgUiJRydN

This Workshop will take place at the Auditorium «Facultad de Ciencias Sociales y Humanísticas» of ESPOL, located at Gustavo Galindo V., Km 30.5 Av. Perimetral, Guayaquil – Ecuador. It is organized by ESPOL University. Its registration is free of charge and open to all researchers, practitioners, and students. For registration visit our web site: http://goo.gl/forms/KCgUiJRydN. For more information, please contact: Dennis Romero (dgromero@espol.edu.ec). For more information about IEEE CIS, please visit http://www.ieee-cis.org.

IEEE-EMBS Ecuador: Introduction to diffusion imaging with magnetic resonance

Pablo Irarrázaval Mena, PhD.
Jueves 11 de junio,
09H00 GMT -5

About the Webinar:

Diffusion is the process whereby molecules move in space because of concentration gradients. This displacement involves Brownian motion. If the molecules do not find any obstacles in their movement, the probability of finding them in a given position is determined by a Gaussian distribution. If they do encounter obstacles, as is the case when fibers are present (neurons in the brain, for instance) the probability distribution is no longer isotropic nor Gaussian, and presents preferred directions correlated with the fiber orientations. Knowing this orientation, or even only the diffusivity constants, is the great clinical utility, because they are relevant markers of physiologic activity and functional anatomy.
On the other hand, magnetic resonance imaging (MRI) is sensitive to the spins’ motion (associated to the Hydrogen atom). Using this sensitivity it is possible to design MRI acquisition techniques to measure diffusion. In this talk I will visit the different techniques employed to acquire the diffusion signal. I will start with the simplest technique and work our way to the most complex ones: fundamentals of diffusion acquisition; Diffusion Weighted Imaging (DWI); Anisotropy; Diffusion Tensor Imaging (DTI); and Diffusion Spectrum Imaging (DSI). For this last technique I will introduce the concept of q-space. Finally, I will present some of the applications of the diffusion images, in particular regarding the study of brain connectivity.
About the presenter:
I am fascinated with the application of signal processing to medical imaging, in particular to Magnetic Resonance Imaging (MRI). I have dedicated most of my working time to research and teaching. I did my undergraduate studies at Pontificia Universidad Católica de Chile, where I received my Electrical Engineering degree (1988) and later on continued at Stanford University where I obtained my M.Sc. (1990) and Ph.D. (1995) degrees. Since then, I have done an academic career in the Department of Electrical Engineering at the School of Engineering of the Universidad Católica, including some administrative positions—Department Chair, Vice-Dean for Undergraduate Academic Affairs, and faculty’s representative in the University Board.
My research career has revolved around Magnetic Resonance Imaging. During my Ph.D. and continuing as a faculty in Chile in the 1990s I worked on k-space trajectories. K-space is how the MRI community refers to the Fourier domain, where the scanner samples the data. My early work was related to devising new ways to traverse the three dimensional k-space for regular imaging. Later on, in the 2000s, I became interested in under-sampled acquisition and its reconstruction techniques. I have worked combining reconstruction with image registration, object modeling, and lately in compressed sensing.
I have been fortunate enough to share with many bright people, with whom we have achieved several goals. I have had more than thirty graduate students, and several research associates and postdocs. In 1999, together with the School of Medicine we founded the Biomedical Imaging Center. Our research has been published in several scientific journals and conference presentations. We have also produced international patents. And finally I am proud that we were able to start up a company that is helping to translate these results to the «real world.»