IoTStream 2019:IoTStream for Data Driven Predictive Maintenance ECML-PKDD 2019 Würzburg, Germany, September 16-20, 2019
Conference website abifet.wixsite.com/iotstream2019 <abifet.wixsite.com/iotstream2019> Submission link easychair.org/conferences/?conf=iotstream2019 <easychair.org/conferences/?conf=iotstream2019> Abstract registration deadline June 7, 2019 Submission deadline June 7, 2019
Topics: predictive maintenance <easychair.org/cfp/topic.cgi?a=21955490;tid=24891> fault detection <easychair.org/cfp/topic.cgi?tid=2906;a=21955490> internet of things <easychair.org/cfp/topic.cgi?tid=200145;a=21955490> data streams <easychair.org/cfp/topic.cgi?tid=6455;a=21955490>
Maintenance is a critical issue in the industrial context for the prevention of high costs or injures. The emerging technologies of Industry 4.0 empowered data production and exchange which lead to new concepts and methodologies exploitation for maintenance. Intensive research effort in data driven Predictive Maintenance (PdM) has been producing encouraged outcomes. Therefore, the main objective of this workshop is to raise awareness of research trends and promote interdisciplinary discussion in this field.
Submission Guidelines
Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are maximum 6 pages. Papers must be written in English and are to be submitted in PDF format online via the Easychair submission interface:
easychair.org/conferences/?conf=iotstream2019 <easychair.org/conferences/?conf=iotstream2019>
Each submission will be evaluated on the basis of relevance, significance of contribution, quality of presentation and technical quality by at least two members of the program committee.
List of Topics
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This workshop solicits contributions including but not limited to the following topics:
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Fault Detection and Diagnosis (FDD)
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Fault Isolation and Identification
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Estimation of Remaining Useful Life of Components, Machines, ….
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Forecasting of Product and Process Quality
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Early Failure and Anomaly Detection and Analysis
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Automatic Process Optimization
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Self-healing and Self-correction
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Incremental, evolving (data-driven and hybrid) models for FDD and anomaly detection
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Self-adaptive time-series based models for prognostics and forecasting
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Adaptive signal processing techniques for FDD and forecasting
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Concept Drift issues in dynamic predictive maintenance systems
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Active learning and Design of Experiment (DoE) aspects in dynamic predictive maintenance
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Systems Fault tolerant control
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Decision Support Systems for Predictive Maintenance
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Data visualization for Prescriptive Maintenance
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Real world applications such as:
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Manufacturing systems
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Production Processes and Factories of the Future (FoF)
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Wind turbines (offshore/onshore/floating)
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Smart management of energy demand/response
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Energy and power systems and networks
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Transport systems
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Power generation and distribution systems
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Intrusion detection and cyber security
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Internet of Things,
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Next Generation Airspace Applications, etc.
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Big Data challenges in energy transition and digital transition
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Solar plant monitoring and management
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Active demand response
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Distributed renewable energy management and integration into smart grids
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Smart cities
Committees
Program Committee
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Carlos Ferreira, LIAAD INESC Porto LA, ISEP, Portugal
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Edwin Lughofer, Johannes Kepler University of Linz, Austria
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Sylvie Charbonnier, Université Joseph Fourier-Grenoble, France
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Bruno Sielly Jales Costa, IFRN, Natal, Brazil
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Fernando Gomide, University of Campinas, Brazil
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José A. Iglesias, Universidad Carlos III de Madrid, Spain
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Anthony Fleury, Mines-Douai, Institut Mines-Télécom, France
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Teng Teck Hou, Nanyang Technological University, Singapore
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Plamen Angelov, Lancaster University, UK
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Igor Skrjanc, University of Ljubljana, Slovenia
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Indre Zliobaite, Aalto University, Austria
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Elaine Faria, Univ. Uberlandia, Brazil
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Mykola Pechenizkiy, TU Eindonvhen, Netherlands
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Raquel Sebastião, Univ. Aveiro, Portugal
Organizing committee
* Rita P. Ribeiro, INESC TEC, Portugal *
Sepideh Pashami, Halmstad University
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Albert Bifet, Telecom-ParisTech; Paris, France
* João Gama, INESC TEC, Portugal
Publication
All accepted papers will be included in the workshop proceedings and will be publically available on the conference web site. At least one author of each accepted paper is required to attend the workshop to present.
Venue
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Würzburg, Germany, from the *16th to the 20th of September 2019*.
Contact
All questions about submissions should be emailed to one of the Chairs

Carlos Ferreira
[http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png]<www2.isep.ipp.pt/assinatura_email/> ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt<www.isep.ipp.pt>

[Apologies for cross-postings]
** Program available: issai.dei.uc.pt/menu/program.html **
ISSAI 2019: First Interdisciplinary Summer School on AI (issai.dei.uc.pt) Focus Theme: “New paths for Intelligence”
Jointly organised by APPIA and AEPIA June 5-7, 2019 Fórum Cultural de Cerveira, Vila Nova de Cerveira, Portugal
(NEW) Keynote Speaker: Helder Coelho (University of Lisbon, ECCAI Fellow)
Confirmed Lectures: – Luc Steels (Catalan Institute for Advanced Studies – ICREA): Insights from evolutionary biology can be the basis of future AI – Matteo Valleriani (Max Planck Institute for the History of Science): Early modern Mathematically Hardcoded Historical Reasoning: Is it Relevant for the Development of Artificial Intelligence? – JJ Merelo (University of Granada): From computer science and engineering to AI: cloud native artificial intelligence and artificial life. – Jochen Büttner (Max Planck Institute for the History of Science): New tools for a long-established discipline: Using machine learning approaches for corpus research in the history of science – Nuno Sousa (University of Minho): AI in medical arena – Tony Veale (University College Dublin): Making Machines That Make Meaning: Exploring Spaces of Varying Dimensionality in Computational Creativity. – (NEW) Paulo Gomes (Critical Software): Industry Lecture
The ISSAI is intended as an interdisciplinary forum with the aim to create a multi-directional flow between AI and other disciplines. The spirit of the meeting is that a forum where practitioners from different fields both present ideas from their fields and learn about ideas from other fields is the best atmosphere for all the disciplines to prosper together. The event is an initiative of the Portuguese and Spanish associations for AI (APPIA and AEPIA). It is aimed at graduate students, post-docs and researchers willing to advance their knowledge and gain new insights by actively participating in an interdisciplinary dialogue.
We invite all the graduate students, post-docs and researchers interested in this interdisciplinary forum to book these dates and pay attention to our website. The registration will open soon.
Venue: The ISSAI will take place in the Fórum Cultural de Cerveira, which is the main stage of the prestigious Biennial of Art of Vila nova de Cerveira. This venue offers an excellent set up for three intensive days of lecturers, panels, formal and informal discussions, networking and fun.
Accommodations: We have booked a number of places with controlled prices, primarily for students, in the Youth Hostel (Pousada da Juventude). Detailed information on how to apply is available in ISSAI website. Vila Nova da Cerveira has a good offer of alternative accommodations available in the most known booking platforms.
Chairs: – Amparo Alonso (University of A Coruña) – Amílcar Cardoso (University of Coimbra) – Luís Correia (University of Lisbon) – Pablo Gervás (University Complutense of Madrid) – Paulo Novais (University of Minho) – Alicia Troncoso Lora (University Pablo de Olavide)

AQI
——– Mensagem reencaminhada ——– Assunto: EurAI Bulletin 2019 (Issue No. 1) Data: Tue, 14 May 2019 18:31:32 +0100 De: Barry O’Sullivan <b.osullivan@cs.ucc.ie> Para: euraisocieties@eurai.org, euraifellows@eurai.org CC: euraiboard@eurai.org
Dear EurAI Colleagues,
Please find attached the current issue of the EurAI newsletter.
Contents: o Call for Nominations: EurAI Artificial Intelligence Dissertation Award 2018 o Preliminary Call for Papers: ECAI 2020 o Report from the IJCAI-ECAI 2018 o Advanced Course on AI 2019 o Report on ACAI 2018 o Magazines & Journals
Kindest regards,
Barry O’Sullivan President, EurAI

EurAIBullettin1.2019.pdf

AQI
——– Mensagem reencaminhada ——– Assunto: EurAI Artificial Intelligence Dissertation Award 2018: deadline extension 24th May, 2019 Data: Tue, 14 May 2019 08:43:56 +0000 De: Michela Milano <michela.milano@unibo.it> Para: eccaisocieties08@ECCAI.ORG <eccaisocieties08@eccai.org>

Dear EurAI Societies,
we have extended the deadline for submitting nominations for the EurAI dissertation award 2018 at the 24th of May, 2019.
We would greatly appreciate if you could circulate this widely and encourage nominations of strong candidates.
Kind regards,
Michela Milano Deputy President, EurAI

Call for Nominations: EurAI Artificial Intelligence Dissertation Award 2018
Nominations are invited for the 2018  Artificial Intelligence Dissertation Award sponsored by EurAI, the European Association of Artificial Intelligence.
Please take a moment to nominate your students, or to recommend to your colleagues to nominate their students.
This Award includes a certificate signed by the EurAI President and 1500 Euros (which includes the travel grant for the Award ceremony). Nominations are due by *May 24, 2019* by
submitting a single PDF file as described below listing both the NOMINATED candidate and the NOMINATOR as the AUTHORS through EasyChair:
easychair.org/conferences/?conf=euraiphdaward2018
Eligible doctoral dissertations are those defended after December 1, 2017 in the general area of Artificial Intelligence. The dissertation must have been defended at a European university and
the author must be a personal member of a EurAI member society. In case a thesis is nominated for another national or international award before or during its review for the EurAI dissertation award,
 the author is requested to inform the EurAI dissertation award committee about this fact.
To be considered, a dissertation must be nominated by the thesis supervisor, who must submit the following items as a SINGLE PDF file in the order:
– Nomination cover-page that includes: the name, affiliation, and contact details of the nominator; the date of the defense of the dissertation; and the names of the jury/examiners involved in its defense;
– nomination letters, either digitally signed or scanned original, from two referees supporting the submission and stating their assessment of why the thesis should win the award.
– if the thesis was not written in English the nomination must include an English paper describing the core ideas of the thesis that has been submitted for publication in an international journal or a prestigious conference.
– the full nominated dissertation. The selection will be based on the originality, impact, and written quality of the work. Work that has been submitted to and/or accepted at workshops, conferences, or journals will be considered more favourably.
Work that is primarily attributed to the student’s own initiative will also be considered more favourably. Finally, the quality of the written document will be considered.
Please address any queries to Michela Milano – michela.milano@unibo.it <mailto:michela.milano@unibo.it>
The outcome will be announced by the end of June.
The Award will be presented during IJCAI2019.