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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Nov. 1, 2017

Nov. 1, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 – 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning." Accepted and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) 30 September 2017 * Tutorial and workshop proposals (Decision) 7 October 2017 * Paper submission 1 December 2017 * Decision notification 8 January 2018 * Camera-ready submission 2 February 2018 * Conference 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Geoffrey I. Webb, Monash University, Australia * Kay Chen Tan, City University, Hong Kong * Ari Santoso, Ministry of Education and Culture ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za’in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA

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Postdoctoral position on modelling and neural analysis of perceptual decision-making at IDIBAPS / UPF (Barcelona)
by Alexandre Hyafil Oct. 31, 2017

Oct. 31, 2017

A postdoctoral research position in computational neuroscience is available immediately to work with Jaime de la Rocha at IDIBAPS (Barcelona) and Alexandre Hyafil at the Universitat Pompeu Fabra (Barcelona). The postdoctoral fellow will be a vital member of the interdisciplinary research team led by Jaime de la Rocha that studies perception and cognition using combined theoretical and experimental approaches. More specifically, the fellow's work will be part of an ERC-funded project aiming to unravel the behavioural principles and the neural mechanisms underlying how recent experience shapes perception and guides decisions. The fellow will (1) characterize the behavioural influence of recent history onto perceptual choices in rats and humans performing acoustic discrimination tasks, (2) analyze population recordings from cortical neurons obtained from rats to uncover the traces of recent history decision biases and (3) build dynamical models of behaviour based on the population recordings using a variety of machine learning tools. Behavioural and neural data is currently being acquired by other researchers in the lab. The work will be co-supervised between Jaime de la Rocha, head of the Cortical Circuit Dynamics Group (http://neuro.fcrb.es/delaRochaLab/) and Alexandre Hyafil who is establishing his new laboratory in the nearby UPF, and has in the last years develop a set analysis techniques fitted for our data. Both groups are part of the vibrant computational neuroscience community of Barcelona, which promotes the interaction among groups by organizing multiple internal activities. Applicants should have a strong background in computational neuroscience or applied mathematics and have a keen interest in interdisciplinary approaches that integrate modeling and experimental research. Programming proficiency (Matlab and/or Python) is required. Experience in machine learning methods, advanced statistics as well as nonlinear dynamical systems will be valued. Ability to collaborate in a pluridisciplinary team is essential. Initial appointment for this position is for two years. The salary is competitive and negotiable depending on the candidate's experience. Review of applications will begin immediately and will continue until the position is filled. Applicants, please send a resume, names and contact of 3 references and a cover letter explaining your interest and research experience to jrochav(a)clinic.cat and alexandre.hyafil(a)gmail.com. Do no hesitate to make informal contact first.

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UW-Milwaukee: 2 Faculty Positions
by Adam S Greenberg Oct. 31, 2017

Oct. 31, 2017

We're hiring two tenure-track Assistant Profs in Milwaukee! You'd be part of our growing Psychology department at the University of Wisconsin-Milwaukee. Application review for both positions begins on 12/20/17. More info at the links below. Assistant Professor - Neuroscience - https://jobs.uwm.edu/postings/26876 Assistant Professor - Clinical Psychology - https://jobs.uwm.edu/postings/26877 Thanks, Adam ___________________________ Adam Greenberg, Ph.D. Assistant Professor University of Wisconsin-Milwaukee Department of Psychology P.O. Box 413 Milwaukee, WI 53201 email: agreenb(a)uwm.edu<mailto:agreenb@uwm.edu> Tel. (414) 229-1106 Fax (414) 229-5219 http://www.snaplaboratory.com/ Twitter: @SNAPLabUWM ___________________________

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Post-doctoral Research Associate in Computational Neuroimaging in Dementia
by Wong-Lin, Kongfatt Oct. 30, 2017

Oct. 30, 2017

A 3.5 year fixed term post-doctoral research associate in Computational Neuroimaging post is available at the Intelligent Systems Research Centre, University of Ulster. The post-doctoral candidate will be involved in the new EU funded Centre for Personalised Medicine, Clinical Decision Making & Patient Safety Project. More specifically, s/he will work as part of a multidisciplinary team focused on dementia within the Centre and perform analysis and modelling of brain imaging and related data in dementia. All applicant should hold a degree in Computational Neuroscience/Biology/Sciences, Computing, Engineering, Physical Sciences, Bioinformatics, Mathematics, Statistics, Neuroscience, Data Sciences, or a cognate area. The successful applicant will be based primarily at the Intelligent Systems Research Centre, which also houses the NI Functional Brain Mapping Facility, and will have opportunities to interact with other related research teams and clinicians. Interested applicants are welcomed to apply at: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTY4NzUzOCZ2dF90… Potential applicants may contact me for further inquiry. Please note that the application deadline is on the 15th November. --------------------------- Dr. KongFatt Wong-Lin University of Ulster, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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PhD position in computational modeling of hippocampal neurons
by Peter Jedlicka Oct. 29, 2017

Oct. 29, 2017

A PhD position is available to work with Peter Jedlicka (Justus Liebig University Giessen and Goethe-University Frankfurt) in a project aimed at computational modeling of hippocampal neurons. The PhD student will be involved in the generation and implementation of computational models focusing on synaptic plasticity and excitability of hippocampal neurons. The student will be using computer models to reproduce/predict data from electrophysiology experiments and developing simulation tools contributing to 3R animal protection strategies. The successful candidate should have a background in physics, mathematics, engineering, computational neuroscience, computational biology or a related field. Experience in scientific programming is necessary. Experience with compartmental modeling is a plus. The project includes morphological modeling in close collaboration with Dr. Hermann Cuntz (FIAS and Ernst-Strüngmann Institute, Frankfurt). The successful candidate will also collaborate with experimental and computational labs in Giessen and Frankfurt. Please submit your application, CV and statement of research interests to: Prof. Dr. Peter Jedlicka (Peter.Jedlicka(a)informatik.med.uni-giessen.de) Computer-Based Modeling in the field of 3R Animal Protection, Faculty of Medicine, Justus-Liebig-University, Giessen The project is related to these recent publications: Platschek S, Cuntz H, Vuksic M, Deller T, Jedlicka P. A general homeostatic principle following lesion induced dendritic remodeling. Acta Neuropathol Commun., 4:19 2016 Jedlicka P, Benuskova L, Abraham WC. A Voltage-Based STDP Rule Combined with Fast BCM-Like Metaplasticity Accounts for LTP and Concurrent "Heterosynaptic" LTD in the Dentate Gyrus In Vivo. PLoS Comput Biol. 11(11):e1004588, 2015 Beining M, Jungenitz T, Radic T, Deller T, Cuntz H, Jedlicka P, Schwarzacher SW. Adult-born dentate granule cells show a critical period of dendritic reorganization and are distinct from developmentally born cells. Brain Struct Funct. 222:1427-1446, 2017 -- Prof. Dr. Peter Jedlicka Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus-Liebig-University Rudolf-Buchheim-Str. 6 D-35392 Giessen

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PhD position in Reinforcement Learning and Decision Making under Uncertainty
by Obermayer, Klaus, Prof. Dr. Oct. 25, 2017

Oct. 25, 2017

Neural Information Processing Group, Fakultät IV, Technische Universität Berlin & Bernstein Center for Computational Neuroscience 1 PhD Position Reinforcement Learning and Decision Making under Uncertainty The successful candidate is expected join collaborative projects at the interface between computational neuroscience and machine learning (research topics: reinforcement learning and decision making under uncertainty). The position is affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group (http://www.ni.tu-berlin.de/) Starting date: January 1st, 2018 Salary level: E-13 TV-L The position is for a period of maximally of five years. Candidates should hold a recent Master degree and should have very good knowledge in the computational neuroscience and machine learning fields. Application material (CV, abstract of the Master thesis, copies of certificates and two letters of reference) should be sent to: Prof. Dr. Klaus Obermayer MAR 5-6, Technische Universität Berlin, Marchstrasse 23, 10587 Berlin, Germany http://www.ni.tu-berlin.de/ klaus.obermayer(a)tu-berlin.de preferably by email. All applications received before November 11th 2017 will be given full consideration, but applications will be accepted until the position is filled. To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored.

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Cluster of faculty positions in Computational Neuroscience at UC Davis
by Mark Steven Goldman Oct. 25, 2017

Oct. 25, 2017

The University of California at Davis is making a major expansion in Computational Neuroscience and related fields, with 10+ tenure-track faculty position openings in the next 3 years through clusters of hires in Computational Neuroscience (3 positions), Motor Control & Neural Engineering (2 positions), Network Science (2 positions), and Data Science (4 positions). UC Davis is a top-10 Public Research University (US News & World Report) located in the college-town of Davis, CA, 1 hour from the San Francisco Bay Area and 20 minutes from the state capital of Sacramento. All cluster and position descriptions can be found at the following website http://comphip2017.ucdavis.edu/. The two Computational Neuroscience faculty positions available this year are broadly targeted as described formally below: Assistant Professor - Computational Neuroscience The University of California, Davis invites applications for up to two tenure-track Assistant Professor positions in computational neuroscience. Each position will focus on identifying general principles of brain function; and/or on modeling and methods at the molecular, cellular, circuit, and/or systems levels that connect to data obtained from different experimental techniques. This is part of a 3-year initiative to hire 10+ new faculty across multiple departments who focus on advanced computational theory and methods, including clusters of hires in computational neuroscience, network science, and data science (see http://comphip2017.ucdavis.edu) QUALIFICATIONS: Ph.D. (or equivalent degree) in mathematics, statistics, computer science, engineering, physics, psychology, neuroscience, or related field; a demonstrated record of teaching, or evidence of the potential to teach undergraduate and graduate courses in the academic department or departments; a record of attracting, or the potential to attract, extramural funding; and excellent potential for interactions/collaborations. APPLICATION PROCESS: The position will remain open until filled. To ensure full consideration, completed applications should be received by November 20, 2017. Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Qualified applicants should submit a cover letter, curriculum vitae, statements of research and teaching interests, representative reprints and/or preprints, a statement of contributions to diversity, and at least three letters of recommendation electronically. The cover letter should indicate which of Neurobiology, Physiology, and Behavior; Computer Science; Statistics; Mathematics; or Physics would be the most appropriate academic departments. For more information, contact Prof. Mark Goldman (msgoldman(a)ucdavis.edu<mailto:msgoldman@ucdavis.edu>). For technical questions please contact Susan Sainz (swsainz(a)ucdavis.edu) Apply at UC Recruit: https://recruit.ucdavis.edu/apply/JPF01722

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NICE 2018 - call for abstracts is open
by Aimone, James Bradley Oct. 24, 2017

Oct. 24, 2017

Dear colleagues, The abstract call for NICE 2018 is now open: https://easychair.org/cfp/NICE_2018 Abstracts due: November 15, 2017 The 2018 Neuro-Inspired Computing Elements (NICE) Workshop is the 6th annual meeting of researchers in the neural computing field. Like previous workshops, NICE 2018 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology. NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry. We are asking for extended abstracts of two pages, with emphasis on novel results in brain-inspired neural algorithms for machine learning, neural computing architectures and hardware, theoretical neuroscience, and applications of neural computing. Event dates are Feb. 27-Mar.1, 2018, and this year the workshop is being hosted by Intel, at their Hillsboro, Oregon site. Registration and accommodation details will be available on the event website (niceworkshop.org<http://niceworkshop.org>) by end of October. Looking forward to seeing everyone in Hillsboro, Feb.27th. Brad Aimone

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3-year, ERC-funded, postdoctoral position at University of Birmingham, UK.
by Jennifer Cook Oct. 23, 2017

Oct. 23, 2017

The School of Psychology at the University of Birmingham, UK, invites applications for a 3-year position as a post-doctoral researcher. The successful candidate will work together with Dr. Jennifer Cook on a European Research Council (ERC)-funded project on the relationship between social cognition, motor control and dopamine system function (ERC-StG-Brain2Bee). The starting date for the position is 13th January 2018 (although there is some flexibility around start date). The closing date for applications is 10th November 2017. See here for details: http://www.jobs.ac.uk/job/BFB695/research-fellow/ *Project description:* Parkinson’s Disease is usually characterised by motor impairment, and Autism by social difficulties. However, the co-occurrence of social and motor symptoms is critically underappreciated; Parkinson’s disease patients exhibit social symptoms, and motor difficulties are common in Autism. At present, the biological basis of co-occurring social and motor impairment is unclear. Notably, both Autism and Parkinson’s disease have been associated with dopamine system dysfunction and, in non-clinical populations, DA has been linked with social and motor ability. This project will use psychopharmacology and behavioural training in typical individuals to understand the relationship between dopamine system function, and social and motor ability. Insights from these initial studies will be used in studies of patients to better understand the relationship between DA system dysfunction and the social and motor symptoms of Parkinson’s disease. Results from this package of work will help us to move closer to a cross-disorder understanding of factors underlying variation in social and motor abilities. *The Candidate:* The successful candidate will be responsible for contributing to the development of a social and motor task battery; leading a study of social and motor function in patients with Parkinson’s Disease; and working with a team of researchers to run a psychopharmacology study to assess the effects of a dopaminergic drug on social and motor outcomes in 100 participants. Candidates should have substantial experience of behavioural experimental methods and ideally experience of working with a clinical population, and running and analysing psychopharmacology studies. This post will require analysing data associated with this project, preparing manuscripts for publication, presenting results at national and international conferences and the possible supervision of research assistants and students. Please note this post is aligned to external funding and therefore the salary on offer is up to a maximum of £32,548. -- Dr Jennifer Cook Birmingham Fellow School of Psychology University of Birmingham Tel: 0121 414 7218 <goog_589294029> www.jencooklab.com http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…

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EVIC 2017 - XIII IEEE Latin-American Summer School on Computational Intelligence
by Rodrigo Salas Oct. 23, 2017

Oct. 23, 2017

EVIC 2017 - XIII IEEE Latin-American Summer School on Computational Intelligence We apologize if you receive multiple copies of this message. Please distribute to anyone who may be interested. ================================================================ XIII IEEE Latin-American Summer School on Computational Intelligence (EVIC) December 13-15, 2017 Universidad de Valparaíso, Valparaíso, Chile Blanco 1911, CIAE Building, 4th Floor, Valparaíso, Chile. www.evic.cl Poster Competition - 1st call for abstract deadline: October 31th, 2017 (extended) 2nd call for abstract deadline: November 13th, 2017 http://www.evic.cl ================================================================ The XIII Summer School of Computational Intelligence will take place at Universidad de Valparaíso, Valparaíso, Chile. It is jointly organized by the Chilean Chapter of the IEEE Computational Intelligence Society and the School of Biomedical Engineering, Universidad de Valparaiso. The aim of the Summer School is to promote Computational Intelligence, bringing together areas such as Intelligent Control Systems, Robotics, Computer Vision, Computational Neuroscience, Science Data, Big Data, among others, in order to disseminate the basic knowledge and the latest research advances to students, professors and professionals from Chile and other Latin American countries. During the Summer School, a Student Poster Competition on Computational Intelligence will be held. ==== Confirmed speakers ==== Chin-Teng Lin, Faculty of Engineering & IT, School of Software University of Technology Sydney, Australia Paulo Lisboa, Department of Applied Mathematics, John Moores Liverpool University, UK Pablo Estevez, Department of Electrical Engineering, Universidad de Chile Wael El-Deredy, Biomedical Engineering School, Universidad de Valparaíso Pablo Zegers, Artificial Intelligence Entrepreneur Luis Aburto, Physical Science and Mathematics Faculty , Universidad de Chile Gonzalo Acuña, Department of Informatics, Universidad de Santiago de Chile Mauricio Araya, Department of Informatics, Universidad Técnica Federico Santa María Felipe Bello, Department of Informatics, Universidad de Santiago de Chile Sebastián Maldonado, Engineering and Applied Science Faculty, Universidad de los Andes Orietta Nicolis, Department of Statistics, Universidad de Valparaíso Bárbara Poblete, Computer Science Department, Universidad de Chile Carolina Saavedra, Biomedical Engineering School, Universidad de Valparaíso Miguel Solis, Engineering Faculty, Universidad Andrés Bello Felipe Tobar, Mathematical Modeling Center, Universidad de Chile Richard Weber, Physical Science and Mathematics Faculty, Universidad de Chile Alejandro Weinstein, Biomedical Engineering School, Universidad de Valparaíso ==== Organizing committee ==== Rodrigo Salas, Universidad de Valparaíso Claudio Held, Universidad de Chile Carolina Saavedra, Universidad de Valparaíso Doris Saez, Universidad de Chile Pablo Zegers, Emprendedor en Inteligencia Artificial Steren Chabert, Universidad de Valparaíso Alejandro Veloz, Universidad de Valparaíso ==== Important dates ==== Application for registration/travel scholarships (Chilean students) November 17th 1st call for extended abstract submission deadline: October 31th, 2017 (extended) 2nd call for extended abstract submission deadline: November 13th, 2017 ===== Paper submission ===== Authors should submit their articles in English as PDF files following the IEEE style guidelines for conference proceedings (limited up to 3 pages (US letter size)). The submission must include the following sections: Introduction, methods, results, discussion and conclusions. Affiliation should include the name of the student participating in the competition, and the name of the co-authors Submit your work in PDF format in the following link https://easychair.org/conferences/?conf=evic2017 Posters will be selected based on the quality of the extended abstract. The decision notification will be send by electronic mail. Posters should be posted according to the schedule which will be noted in the program. A committee of three experts will evaluate the posters and assign the first, second and third places. The awards will be announced on December 14th, 2017. Contact: Rodrigo Salas F. <rodrigo.salas(a)uv.cl>

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