----------------------Call for Papers (Final
Call)------------------------------------------------
The 7th International Conference on Future Internet of Things and Cloud
(FiCloud 2019),
IEEE CS- TCI
26-28 August 2019, Istanbul, Turkey
http://www.ficloud.org/2019/
---------------------------------------------------------------------------------------
The Internet of Things (IoT) vision is to provide a dynamic and global
network infrastructure which is characterized by intelligent and self
configuring capabilities. IoT is considered as an integral part of the
future Internet. It is based on interoperable communication protocols in
order to enable the interaction and integration of virtual as well as
physical Things such as computers, smart devices, sensors, cars,
refrigerators, food packages, medicines, etc. Things can be seamlessly
integrated into the information network and interaction can be made through
the provision of intelligent interfaces. In not so distant future, IoT will
be forcing its way into every aspect of our lives and technologies
including smart homes, smart cities, environment and nature, green energy,
food, medicine, automotive, aerospace and aviation, telecommunication, and
so on.
IoT is generally characterized by real world and small Things, limited
capacity, constrained devices and the consequential issues such as less
reliability, security and privacy. Cloud computing on the other hand deals
mainly with virtual world and has unlimited capabilities in terms of
storage and processing power. Thus cloud and IoT are the main complementary
aspects of the future Internet. IoT can benefit from the unlimited
capabilities and resources of cloud computing. Similarly, cloud can benefit
from IoT by extending its scope to deal with real world things in a more
distributed and dynamic manner.
The theme of this conference is to promote the state of the art in
scientific and practical research of the IoT and cloud computing. It
provides a forum for bringing together researchers and practitioners from
academia, industry, and public sector in an effort to present their
research work and share research and development ideas in the area of IoT
and cloud computing.
CONFERENCE TRACKS:
- Cloud Models - SaaS, IaaS, PaaS
- Security, Privacy and Trust
- Software Systems, Models and Architectures
- Mobile Cloud Services
- Data and Knowledge Management
- Context-awareness and Location-awareness
- Software-defined Networking
- Performance Evaluation and Modelling
- Networking and Communication Protocols
- IoT Services and Applications
- Smart Environment
- Enterprise and Business Models
- Energy Efficiency
- Federation and Virtualization
- Fog and Edge Computing
- Industry Track
- General Track
Paper submission and Publication:
Authors are requested to submit papers reporting original research results
and experience. The page limit for full papers is 8 pages and for short
papers is 6 pages. Papers should be prepared using IEEE two-column
template. See instructions on the conference website (
http://www.ficloud.org/2019/).
All papers accepted for this conference are planned to be published in the
conference proceedings by the IEEE Computer Society Conference Publishing
Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the
IEEE Computer Society (CSDL) digital libraries. The proceedings are also
submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and
other indexing services.
Authors of selected papers will be invited to submit extended versions of
their papers for special issues in international journals (see conference
website).
Important Dates:
Submission Deadline Extended (Firm): 16 April 2019
Authors Notification: 20 May 2019
Final Manuscript Due: 14 June 2019
General Chairs:
Vincenzo Piuri, University of Milan, Italy
Irfan Awan, University of Bradford, UK
Program Chairs:
Takahiro Hara, Osaka University, Japan
Muhammad Younas, Oxford Brookes University, UK
Local Organising Chairs:
Perin Unal, Teknopar, Turkey
Sezer Gören Ugurdag, Yeditepe University, Turkey
Tacha Serif, Yeditepe University, Turkey
Workshop Coordinator:
Filipe Portela, University of Minho, Portugal
Journal Special Issues Coordinator:
Lin Guan, Loughborough University, UK
Publicity Chair:
Joyce El Haddad, University of Paris Dauphine, France
Publication Chair:
Barbara Masucci, University of Salerno, Italy
Track Chairs:
Antonio Celesti, University of Messina, Italy
Edmundo Madeira, University of Campinas, Brazil
Helen Karatza, Aristotle University of Thessaloniki, Greece
Joyce El Haddad, University of Paris Dauphine, France
Khaled Aloufe, Taibah University, Saudi Arabia
Luiz Fernando Bittencourt, University of Campinas, Brazil
Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia
Marcin Bajer, ABB Corporate Research Kraków, Poland
Marisa Catalan Cid, i2Cat Foundation, Spain
Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands
Natalia Kryvinska, University of Vienna, Austria
Patience Anitta Namanya, Nettitude Group, UK
Rafael Angarita, INRIA and Isep, Paris, France
Ron Austin, Birmingham City University, UK
R. Venkatesha Prasad, Delft University of Technology, The Netherlands
Tacha Serif, Yeditepe University, Turkey
Tuna Tugcu, Bogaziçi University, Turkey
Vijay S. Rao, Delft University of Technology, The Netherlands
A. S. M. Kayes, La Trobe University, Australia
== Public video dataset for racing bicycle detection/tracking from
aerial footage ==
The Aristotle University of Thessaloniki (AUTH) is making publicly
available a video dataset for racing bicycle detection/tracking from
aerial footage, under the auspices of the MULTIDRONE research and
development project (https://multidrone.eu/).
Benchmark_RAI has been prepared by processing/editing and annotating
material made available by Radiotelevisione Italiana (RAI) under the
“Giro 2017” MULTIDRONE dataset. It is a dataset consisting of two
videos (resolutions: 768 x 432 and 960 x 540) at 25 frames per second.
The videos are from Giro d’Italia TV coverage provided by RAI.
Annotations are exhaustive, i.e., all objects of a certain class
present in a given image are covered by an annotation.
Directions for accessing and using the dataset can be found at
www.aiia.csd.auth.gr/LAB_PROJECTS/MULTIDRONE/AUTH_MULTIDRONE_Dataset.html
-----------------------------------------------------------
Ioannis Mademlis, Ph.D.
Research Assistant
Artificial Intelligence and Information Analysis Lab (AIIA)
Aristotle University of Thessaloniki
Please share this announcement
==============================
Sustainable Horizons Institute Webinar Series Presents:
Basics of Parallell Debugging
In this webinar, we will introduce participants to strategies for
debugging programs utilizing parallel execution. We will first explore
how to leverage GNU debugger GDB to investigate some bugs in programs
using MPI and
OpenMP threading. Then participants will be introduced to the commercial
software DDT and how to use that for more efficient parallel debugging.
A brief discussion on debugging GPU programs will also be included.
TO R EGISTER visit the link:
https://goo.gl/forms/ZVdGDRLIoF9Sdhy73
Dr. Jeremy Melvin is an ICES postdoctoral fellow at the University of
Texas at Austin. He received his Ph.D in
Computational Applied Mathematics from Stony Brook University. His
research interests are focused on
developing tools and models to improve the predictive capabilities of
numerical simulations for turbulent flows
in complex engineering problems. This free webinar is part of a
quarterly series aimed toward students and early career professionals in
STEM, and is organized through the Sustainable Horizons Institute. To
contact the SHI Webinar Committee, please email info(a)shinstitute.org If
you, or someone you know is interested in giving a webinar, please send
us an email!
ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning, Siena -
Tuscany, Italy, July 15-19 - Early Registration: April 15
*** Application deadline approaching: April 15 ***
* Apologies for multiple copies. Please forward to anybody who might be
interested *
ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning
An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders
ACDL 2019 – A Unique Experience: Data Science, Machine Learning & AI with
the World’s Leaders in the fascinating atmosphere of the ancient Certosa di
Pontignano
Certosa di Pontignano, Siena - Tuscany, Italy
July 15-19, 2019
https://acdl2019.icas.xyz
acdl(a)icas.xyz
Early registration deadline: April 15
https://acdl2019.icas.xyz/registration/
LECTURERS:
Each Lecturer will hold three lessons on a specific topic.
https://acdl2019.icas.xyz/lectures/
Ioannis Antonoglou, Google DeepMind, UK
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Marco Gori, University of Siena, Italy
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Phillip Isola, MIT, USA
Lecture 1: Introduction to Generative Adversarial Networks
Lecture 2: Conditional GANs and Data Prediction
Lecture 3: GANs for Domain Translation
Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA
Lecture 1: Learning in the factory and in the wild: designing robot
systems that learn
Lecture 2: Learning factored transition models for planning in complex
hybrid spaces
Lecture 3: Learning to speed up planning in complex hybrid spaces
Ilias S. Kotsireas, Wilfrid Laurier University, Canada
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Dolores Romero Morales, Copenhagen Business School, Denmark
Lecture 1: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 1)
Lecture 2: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 2)
Lecture 3: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 3)
Panos Pardalos, University of Florida, USA
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA
Lecture 1: Introduction to Deep Learning, Neural Networks & Convolutional
Neural Networks Lecture 2: Deep Unsupervised Learning
Lecture 3: Recent Advances and New Challenges for Deep Learning
Lecture 4: Deep Learning for Natural Language Processing/Reading
Comprehension
Josh Tenenbaum, MIT, USA
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Naftali Tishby, Hebrew University, Israel
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
Lecture 1: Introduction to Automated Machine Learning (AutoML)
Lecture 2: Meta-learning
Lecture 3: AutoML and meta-learning for neural networks
Oriol Vinyals, Google DeepMind, UK
Lecture 1: Graph Neural Networks
Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and
Beyond
Lecture 3: Meta Learning
SCOPE:
The Advanced Course is not a summer school suited only for younger
scholars. Rather, a significant proportion of seasoned investigators are
regularly present among the attendees, often senior faculty at their own
institutions. The balanced audience that we strive to maintain in each
Advanced Course greatly contributes to the development of intense
cross-disciplinary debates among faculty and participants that typically
address the most advanced and emerging areas of each topic.
Each faculty member presents lectures and discusses with the participants
for one entire day. Such long interaction together with the small,
exclusive Course size provides the uncommon opportunity to fully explore
the expertise of each faculty, often through one-to-one mentoring. This is
unparalleled and priceless.
The Certosa di Pontignano provides the perfect setting to a relaxed yet
intense learning atmosphere, with the stunning backdrop of the Tuscan
landscapes. World-class wines and traditional foods will make the Advanced
Course on Data Science and Machine Learning the experience of a lifetime.
CALL FOR POSTER & ORAL PRESENTATIONS:
During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.
https://acdl2019.icas.xyz/registration/
Early registration deadline: April 15
ACDL 2019 Best Poster Award
AIxIA sponsors the ACDL 2019 Best Poster Award with a cash prize of 600
Euro.
VENUE & ACCOMMODATION:
The venue of ACDL 2018 will be The Certosa di Pontignano — Siena
Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info(a)lacertosadipontignano.com
lorenzopasquinuzzi(a)lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
A few Kilometres from Siena, on a hill dominating the town stands the
ancient Certosa di Pontignano, a unique place where nature, history and
hospitality blend together in memorable harmony. Built in the 1300, its
medieval structure remains intact with additions of the following
centuries. The Certosa is centred on its historic cloisters and gardens.
https://acdl2019.icas.xyz/venue/
ACCOMMODATION:
https://acdl2019.icas.xyz/accommodation/
REGISTRATION:
https://acdl2019.icas.xyz/registration/
We remind you that ACDL 2018 sold out a long time before the registration
deadline!
Anyone interested in participating in ACDL 2019 should register as soon as
possible!
Similarly for accommodation at the Certosa di Pontignano (the School
Venue), book your full board accommodation at the Certosa as soon as
possible!
All course participants should/must stay at the Certosa di Pontignano.
See you in Tuscany next July!
ACDL 2019 Organizing Committee.
ACDL 2019 Poster:
https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/01/poster-ACDL-20…
acdl(a)icas.xyz
https://acdl2019.icas.xyz
Past Edition - ACDL 2018:
https://acdl2018.icas.xyzhttps://www.facebook.com/groups/204310640474650/https://twitter.com/TaoSciences
* Apologies for multiple copies. Please forward to anybody who might be
interested *
* Please help us distributing in your circles (emails, blogs, and social
networks) the call for participation and call for oral talks/posters for
ACDL 2019. Together we will make ACDL 2019 a great event! *
WPDM 2019
The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
http://sara.unisalento.it/~cafaro/WPDM2019/
CALL FOR PAPERS
The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org
Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019
Final deadline for submissions extended to: April 7, 2019
SCOPE AND OBJECTIVES
The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics.
The WPDM Workshop topics include (but are not limited to) the following:
- Parallel data mining algorithms using MPI and/or OpenMP
- Parallel data mining algorithms targeting GPUs and many-cores accelerators
- Parallel data mining applications exploiting FPGA
- Distributed data mining algorithms
- Benchmarking and performance studies of high-performance data mining applications
- Novel programming paradigms to support high-performance computing for data mining
- Performance models for high-performance data mining applications and middleware
- Programming models, tools, and environments for high-performance computing in data mining
- Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining
INSTRUCTIONS FOR PAPER SUBMISSIONS
You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui…
To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org.
Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form.
CONFERENCE POLICY
By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings.
If you have any questions about paper submission or the workshop, please contact the workshop organisers.
IMPORTANT DATES
April 7, 2019: Deadline for paper submission
April 24, 2019: Notification of Acceptance.
May 8, 2019: Early-bird Registration ends.
May 8, 2019: Submission deadline for the final version of the Papers
July 1-4, 2019: ICCSA 2019 Conference
WORKSHOP ORGANIZERS
Massimo Cafaro
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: massimo.cafaro(a)unisalento.it
Italo Epicoco
University of Salento, Italy
Phone: +39 0832 297235
Fax: +39 0832 297235
Email: italo.epicoco(a)unisalento.it
Marco Pulimeno
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: marco.pulimeno(a)unisalento.it
Giovanni Aloisio
University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy
Phone: +39 334 6501704
Fax: +39 0832 297235
Email: giovanni.aloisio(a)unisalento.it
All submitted papers will be reviewed by the workshop technical program committee members.
International Program Committee:
Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Giuseppe Di Fatta, University of Reading, UK
Ann Gordon-Ross, University of Florida, USA
Kenli Li, Hunan University, China
Donato Malerba, University of Bari, Italy
Barbara Masucci, University of Salerno, Italy
Mitsunori Ogihara, University of Miami, USA
Takahiko Shintani, The University of Electro-Communications , Japan
Domenico Talia, University of Calabria, Italy
Paolo Trunfio, University of Calabria, Italy
Jeffrey D. Ullman, Stanford University, USA
Laurence T. Yang, St Francis Xavier University, Canada
-
************************************************************************************
Massimo Cafaro, Ph.D.
Associate Professor
Dept. of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web http://sara.unisalento.it/~cafaro
E-mail massimo.cafaro(a)unisalento.it
cafaro(a)ieee.org
cafaro(a)acm.org
CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro(a)cmcc.it
************************************************************************************
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*************************************
*Call for Papers (HETET19
<https://sighpceducation.acm.org/events/HETET19.html>)*
*ISC19 Conference (Frankfurt, Germany)*
*June 16-20, 2019 https://www.isc-hpc.com/ <https://www.isc-hpc.com/>*
*Submission Deadline: April 20, 2019*
*Paper submission is available online via: EasyChair for HETET19 website.
<https://easychair.org/conferences/?conf=hetet19> *
***************************************************************************************************
*Workshop on HPC Education and Training for Emerging Technologies (HETET19
<https://sighpceducation.acm.org/events/HETET19.html>)*
The HETET19 workshop is an ACM SIGHPC Education Chapter
<https://sighpceducation.acm.org/>coordinated effort aimed at fostering
collaborations among the practitioners from traditional and emerging fields
to explore strategies to enhance computational, data-enabled, AI and HPC
educational needs. Attendees will discuss approaches for developing and
deploying HPC education and training, as well as identifying new challenges
and opportunities for keeping pace with the rapid pace of technological
advances - from collaborative and online learning tools to new HPC
platforms; advanced technology solutions supporting HPC, Accelerated
Analytics, and AI applications. The workshop will provide opportunities
for: learning about methods for conducting effective HPC education and
training for emerging technologies; promoting collaborations among HPC
educators, trainers and users; and for disseminating resources, materials,
lessons learned and good/best practices.
This half-day workshop is aimed at users, professionals, researchers,
scholars, educators, and other interested community members with an active
interest in training, educating, using and supporting the HPC community of
developers, researchers, educators, and practitioners.
*The workshop will include a panel, presentations and lightning talks.
Topics of interest include but are not limited to:*
· Pedagogical methods/tools for High performance data analytics and
cognitive computing
· Best practices and models for teaching and learning HPC topics and
course materials
· Sustainable educational strategies for HPC education and training
· Emerging and scalable online environments and tools for HPC education
and training
· Evaluation and assessment of training and instructional materials
· Legal issues involved in training (e.g. ADA compliance, software
licenses, intellectual property rights, etc.)
· Novel andragogical approaches for training and education
· Pedagogical methods/tools for non-traditional HPC disciplines
· Pedagogical methods/tools enabling HPC, Accelerated Analytics, and AI
Applications
We invite submissions for full papers and extended abstract lightning
talks. * All accepted papers and extended abstracts will be considered for
publication in a special issue of Journal of Computational Science
Education <http://jocse.org/>.*
*Important Dates:*
Submission Deadline: April 20, 2019
Notification of acceptance: April 27, 2019
Final camera ready submissions: June 1, 2019
*Paper Submission*
To be accepted for publication, each paper should describe:
· the nature of the training or education program
· strategy
· assessment or evaluation technique
· situations for which it is relevant or in which it was applied
· an evaluation of its success
· lessons learned
· reproducibility of the processes and resources
· relevance to the broad range of training or education topics associated
with the workshop
*Paper Format*
The submitted paper must follow the Journal of Computational Science
Education templates to generate your PDF: MS Word
<http://shodor.org/media/content/jocse/content/JOCSE_Word_Template.zip> and
Latex
<http://shodor.org/media/content/jocse/content/JOCSE_LaTeX_Template.zip>.
Papers that do not comply with ACM format and maximum 8 page length limit
will be returned.
*Paper submission is available online via: EasyChair for HETET19 website.
<https://easychair.org/conferences/?conf=hetet19> *
*Organizing Committee:*
· Nitin Sukhija, Slippery Rock University of Pennsylvania
· Scott Lathrop, NCSA, University of Illinois at Urbana-Champaign
· Nia Alexandrov, Daresbury Laboratory, Sci-Tech Daresbury
*About SIGHPC Education*
The SIGHPC Education chapter has as its purpose the promotion of interest
in and knowledge of applications of High Performance Computing (HPC)
https://sighpceducation.acm.org
--
Dr Mozhgan Kabiri *Chimeh*
*R*esearch *A*ssociate / *RSE*
Department of Computer Science,
University of Sheffield
0114 222 1896 | mkchimeh.com
[Apologies if you receive multiple copies of this call for papers.]
=======================================================================
Call for Papers
DeCPS 2019 - Workshop on Challenges and new Approaches for Dependable
and Cyber-Physical Systems Engineering
14 June 2019, Warsaw, Poland
Co-located with the Ada-Europe
24th International Conference on Reliable Software Technologies
Conference web site: http://www.ada-europe.org/conference2019
=======================================================================
--- Scope ---
In recent years, the Internet of Things (IoT) has experienced an
extraordinary development with a broad impact on society; however,
there is still a gap between the physical world and the cyber one.
Cyber Physical Systems (CPS) constitute a new class of engineered
systems, integrating software control and autonomous decision making
with signals from an uncertain and dynamic environment. Internet
transformed the way people interact and deal with information.
CPS technology transformed the way people interact with engineered
systems. For this type of systems, it is necessary not only ensuring
the safety of physical devices but also other factors such as
information about customers, suppliers, and organizational strategies
needs to be secured. In the context of cyber systems, the Artificial
Intelligence (AI) technologies can contribute to manage a huge amount
of heterogeneous data that come from different sources without human
intervention. To deliver certification, standards for machine safety
are highly recommended as they give confidence to the regulatory.
The generic standard for safety-related hardware and software might
be applicable, however, due to increasing autonomy of robots there
is still a potential for evolution of such regulations or standards.
The proper combination of AI, CPS and IoT is therefore fundamental.
CPS are considered a disruptive technology which will transform the
traditional manufacturing into Industry 4.0 solutions, and are used
in a very wide spectrum of applications: smart mobility, autonomous
driving, digital healthcare, smart grids and buildings, mobile
co-operating autonomous robotic systems, digital consumer products
and services. "In conclusion, the emerging Digital (R)-evolution
relies heavily on Embedded Intelligent Systems technologies in domains
where it is paramount that Europe takes leadership role" (Laila Gide,
"The pathway to digital transformation: an opportunity for Europe",
ARTEMIS Magazine 20 May 2016).
This workshop aims to provide a platform to industrial practitioners,
researchers and engineers in academia to exchange of their ideas,
research results, experiences in the field of dependable and cyber
physical systems engineering, both a theoretical and practical
perspective. To foster visibility and interaction, participation
in the workshop will be also open to conference participants (at no
extra cost).
--- Topics of interest ---
The topics of interest includes, but are not limited to:
* Vehicle of the Future
* Transport and Mobility
* Industry 4.0 in transportation sector
* Security and comfort of the end-user
* Human/Machine Interaction
* Safety and Security
* Industrial experiments and case studies
* Integration of Internet of Things and Cloud Computing
* Evolution of standards and certification processes
* Impact of Artificial Intelligence in CPS
The workshop will also include contributions from relevant projects
in the domain, such as Future Factories in the Cloud (FiC), Productive
4.0, AMASS, ENABLE-S3, SafeCOP, SCOTT, etc.
--- Paper submission ---
Submission of regular papers (4 pages, AUJ style) at the following
page: https://easychair.org/conferences/?conf=decps2019
The post-workshop proceedings will be published in the Ada User Journal
(http://www.ada-europe.org/auj/guide/).
--- Important dates ---
* Submission deadline: 30 April 2019
* Notification to authors: 17 May 2019
* Workshop : 14 June 2019
* After-workshop final version: 15 September 2019
* Publication in Ada User Journal: December 2019
--- Track Chairs ---
* Faiz Ul Muram, Mälardalen Univ., Sweden
--- Steering Committee ---
* Daniela Cancila, CEA LIST, France
* Martin Torngren, KTH Royal Institute of Technology, Sweden
* Alessandra Bagnato, SOFTEAM, France
* Cristina De Luca, Infineon Technologies Austria AG Austria
* Silvia Mazzini, INTECS Italy
* Laurent Rioux, Thales, France
* Barbara Gallina, Mälardalen Univ., Sweden
* Luis Miguel Pinho, Polytechnic Institute of Porto, Portugal
=======================================================================
Dirk.Craeynest(a)cs.kuleuven.be, Ada-Europe 2019 Publicity Chair
*** Ada-Europe 24th Intl. Conf. on Reliable Software Technologies ***
June 11-14, 2019 * Warsaw, Poland * www.ada-europe.org/conference2019
CallforPapers
The 16th International Conference on Mobile Systems and Pervasive Computing, (MobiSPC'19) August 19-21, 2019, Halifax, Canada
http://cs-conferences.acadiau.ca/mobispc-19/
IMPORTANT DATES
- Workshop Proposal Due: February 15, 2019
- Paper Submission Due: April 18, 2019 (Extended)
- Acceptance Notification: May 25, 2019
- Final Manuscript Due: June 25, 2019
About
Mobile Systems and Pervasive Computing (MobiSPC) have evolved into an active area of research and development. This is due to the tremendous advances in a broad spectrum of technologies and topics, including wireless networking, mobile and distributed computing, sensor systems, RFID technology, and the ubiquitous mobile phone. MobiSPC-2019 solicits papers that focus on the theory, systems, practices and challenges of providing users with a successful mobile or wireless experience. This includes how mobile computing changes how people pervasively use their computers, computing resources and applications, as well the systems, services and technologies enabling those applications.
MobiSPC-2019 will provide a leading edge, scholarly forum for researchers, engineers, and students alike to share their state-of-the art research and developmental work in the broad areas of pervasive computing and mobile systems.
Publication
All MobiSPC 2019 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com<http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com<http://www.sciencedirect.com/>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and Engineering Village (Ei) (www.engineeringvillage.com<http://www.engineeringvillage.com/>). This includes EI Compendex (www.ei.org/compendex<http://www.ei.org/compendex>). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. Selected papers will be invited for publication, in the following special issues:
- International Journal of Ambient Intelligence and Humanized Computing (IF: 1.588), by Springer
(http://www.springer.com/engineering/journal/12652)
- International Journal of Computing and Informatics (IF: 0.504)
(http://www.cai.sk/ojs/index.php/cai/index)
- IEEE Intelligent Transportation Systems Magazine (IF: 3.654), by IEEE
(http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645)
MobiSPC 2019 will be held in conjunction with
The 14th International Conference on Future Networks and Communications (FNC'19).
http://cs-conferences.acadiau.ca/fnc-19/
Venue
MobiSPC 2019 is co-organized & co-hosted by Acadia and Dalhousie Universities. MobiSPC 2019 will be held in Halifax, Nova Scotia, Canada. Halifax is located on the east coast of Canada and is approximately 6-hour flight from London, UK and a 2-hour flight from Toronto, Ontario.
Halifax is a vibrant and modern city which is home to multiple academic institutions and where visitors can enjoy a variety of activities and entertainment from whale watching to Jazz festivals to world-class cuisine. Halifax is also home to the Maritime Museum of the Atlantic which contains the world largest collection of Titanic artifacts. Nova Scotia is a picturesque province with many National and Provincial parks, and as stated in the Guinness Book of World Records, has the highest tides in the world.
Conference Tracks
Component-based IoT
Enabling Technologies and Emerging Topics
Internet of Things (IoT)
Mobile Cloud Computing
Mobile Data Management
Mobile Social Networking
Pervasive Computing
Smart Cities and Ubiquitous Climate Change Management
Smart Communities and Ubiquitous Systems
Mobile Systems and Applications
Committees
General Chair
Hossam Hassanein, Queen's University, Canada
Program Chair
Jamal Bentahar, Concordia University, Canada
Elhadi Shakshuki, Acadia University, Canada
Workshops Chair
Stéphane Galland, Université de Technologie de Belfort-Montbéliard, France
Local Chair
Abdelouahed Gherbi, Quebec University, Canada
Ahsan Habib, Dalhousie University, Canada
Israat Haque, Dalhousie University, Canada
Tracks Chairs
Muhammad Adnan, Hasselt University, Belgium
Longbiao Chen, Xiamen University, China
Carmela Comito, National Research Council of Italy, Italy
Danny Hughes, K. U. Leuven, Belgium
Camille Kamga, The City College of New York, USA
Prashant Kumar, University of Surrey, UK
Hamid Mcheick, UQAC, Canada
Yongrui (Louie) Qin, University of Huddersfield, UK
Rahim Rahmani, Stockholm University, Sweden
Michael Sheng, Macquarie University, Australia
Qussai Yaseen, Jordan University of Science and Technology, Jordan
International Journals Chair
Atta Badii, Reading University, UK
Publicity Chairs
Monika Davidekova, Comenius University, Slovak Republic
B. B. Gupta, National Institute of Technology Kurukshetra, India
Advisory Committee
Abdelfettah Belghith, University of Manouba, Tunisia
Flavien Balbo, Ecole Nationale Supérieure des Mines de Saint Etienne, France
Erol Gelenbe, Imperial College, UK
Vincenzo Loia, University of Salerno, Italy
Javier Sanchez Medina, University of Las Palmas de Gran Canaria, Spain
Ralf Steinmetz, Technische Universitaet Darmstadt, Germany
Mohamed Younis, University of Maryland Baltimore County, USA
Technical Program Committee
http://cs-conferences.acadiau.ca/mobispc-19/#programCommittees
—Call for papers: 16th International Colloquium on Theoretical Aspects of
Computing (ICTAC 2019).
http://ictac2019.redcad.org
(Apologies if you have received multiple copies of this call for papers)
We are pleased to invite you to submit papers for the 16th International
Colloquium on Theoretical Aspects of Computing (ICTAC 2019), which will be
held from 30th October to 4th November 2019, in Hammamet, Tunisia.
The aim of the colloquium is to bring together practitioners and
researchers from academia, industry and government to present research
results, and exchange experience, ideas, and solutions for their problems
in theoretical aspects of computing.
ICTAC also aims to promote research cooperation between developing and
industrial countries. The proceedings will be published as a volume of
Springer's LNCS series.
The important dates are:
Abstracts 5 May 2019
Papers 12 May 2019
Notification 21 July 2019
Final version 11 August 2019
Conference 30 October to 4 November 2019
Special issue:
Authors of the best contributions will be invited to submit a revised and
extended version to a special issue, to be published in Elsevier's
Theoretical Computer Science.
Invited Speakers:
Thomas A. Henzinger, Institute of Science and Technology, Austria
Patrick Cousot, Courant Institute of Mathematical Sciences, New York
University, USA
Dominique MÈry, University of Lorraine, France
Topics of interest include, but are not limited to, the following:
Languages and automata
Semantics of programming languages
Logic in computer science
Lambda calculus, type theory and category theory
Domain-specific languages
Theories of concurrency and mobility
Theories of distributed, grid and cloud computing
Models of objects and components
Coordination models
Models of software architectures
Autonomous systems
Timed, hybrid, embedded and cyber-physical systems
Static analysis
Software verification
Software testing
Program generation and transformation
Model checking and automated theorem proving
Interactive theorem proving
Verified software, formalized programming theory
We solicit the following types of papers:
- Regular papers, with original research contributions;
- Short papers, with original work in progress or with proposals of new
ideas and emerging challenges;
- Tool papers, on tools that support formal techniques for software
modeling, system design, and verification.
Submissions must adhere to the LNCS format. Regular papers should not
exceed 18 pages (excluding bibliography of maximum 2 pages).
Short and tool papers should not exceed 10 pages.
Submissions must not have been published or be under consideration for
publication elsewhere.
All submissions will be judged on the basis of originality, contribution to
the field, technical and presentation quality, and relevance to the
conference.
Each paper submission will be reviewed by at least three members of the
Programme Committee.
All contributions to ICTAC 2019 have to be submitted electronically in PDF
format via Easy Chair (https://easychair.org/conferences/?conf=ictac2019)and
have to follow the Springer LNCS paper format.
One author of each accepted paper must attend the conference to present it,
having paid the regular registration fee.
The ICTAC committee will evaluate and select the best paper award winner.
The winner will receive a cash award.
Steering Committee:
Ana Cavalcanti (University of York, UK) (chair)
Martin Leucker (Universit‰t zu L¸beck, DE)
Zhiming Liu (Southwest University, CN)
Tobias Nipkow (Technische Universit‰t M¸nchen, DE)
Augusto Sampaio (Universidade Federal de Pernambuco, BR)
Natarajan Shankar (SRI International, US)
General chairs:
Mohamed Jmaiel, University of Sfax, Tunisia
Walid Gaaloul, Paris-Saclay University, France
Programme chairs:
Robert M. Hierons, University of Sheffield, UK
Mohamed Mosbah, LaBRI, Bordeaux INP, FR
Programme Committee (provisional/draft)
Eric Badouel (IRISA, FR)
Kamel Barkaoui (CEDRIC - CNAM, FR)
FrÈdÈric Blanqui (INRIA, FR)
Eduardo Bonelli (Universidad Nacional de Quilmes, AR)
Ana Cavalcanti (University of York, UK)
Uli Fahrenberg (LIX, FR)
Adrian Francalanza (University of Malta, MT)
Ahmed Hadj Kacem (University of Sfax, TN)
Edward Hermann Haeusler (PontifÌcia Universidade CatÛlica do Rio de
Janeiro, BR)
Ross Horne (Nanyang Technological University, SG)
David Janin (University of Bordeaux, FR)
Jan Kretinsky (Technische Universit‰t M¸nchen, DE)
Martin Leucker (Universit‰t zu L¸beck, DE)
Radu Mardare (Aalborg Universitet, DK)
Dominique MÈry (LORIA, FR)
Mohammadreza Mousavi (University of Leicester, UK)
Tobias Nipkow (Technische Universit‰t M¸nchen, DE)
Maciej PirÛg (Wroclaw University, PL)
Sanjiva Prasad (IIT Delhi, IN)
Riadh Robbana (University of Carthage, TN)
Augusto Sampaio (Universidade Federal de Pernambuco, BR)
Georg Struth (University of Sheffield, UK)
Cong Tian (Xidian University, CN)
Tarmo Uustalu (Reykjavik University, IS / Tallinn University of
Technology, EE)
ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning, Siena -
Tuscany, Italy, July 15-19 - Early Registration: April 15
* Apologies for multiple copies. Please forward to anybody who might be
interested *
ACDL 2019: An Interdisciplinary Course: Big Data, Deep Learning & AI
without Borders
A Unique Experience: Data Science, Machine Learning & AI with the World’s
Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano
https://acdl2019.icas.xyz
acdl(a)icas.xyz
Early registration deadline: April 15
https://acdl2019.icas.xyz/registration/
LECTURERS:
Each Lecturer will hold 3 lessons on a specific topic.
https://acdl2019.icas.xyz/lectures/
Ioannis Antonoglou, Google DeepMind, UK
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Marco Gori, University of Siena, Italy
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Phillip Isola, MIT, USA
Lecture 1: Introduction to Generative Adversarial Networks
Lecture 2: Conditional GANs and Data Prediction
Lecture 3: GANs for Domain Translation
Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA
Lecture 1: Learning in the factory and in the wild: designing robot
systems that learn
Lecture 2: Learning factored transition models for planning in complex
hybrid spaces
Lecture 3: Learning to speed up planning in complex hybrid spaces
Ilias S. Kotsireas, Wilfrid Laurier University, Canada
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Dolores Romero Morales, Copenhagen Business School, Denmark
Lecture 1: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 1)
Lecture 2: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 2)
Lecture 3: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 3)
Panos Pardalos, University of Florida, USA
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA
Lecture 1: Introduction to Deep Learning, Neural Networks & Convolutional
Neural Networks Lecture 2: Deep Unsupervised Learning
Lecture 3: Recent Advances and New Challenges for Deep Learning
Lecture 4: Deep Learning for Natural Language Processing/Reading
Comprehension
Josh Tenenbaum, MIT, USA
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Naftali Tishby, Hebrew University, Israel
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
Lecture 1: Introduction to Automated Machine Learning (AutoML)
Lecture 2: Meta-learning
Lecture 3: AutoML and meta-learning for neural networks
Oriol Vinyals, Google DeepMind, UK
Lecture 1: Graph Neural Networks
Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and
Beyond
Lecture 3: Meta Learning
SCOPE:
The Advanced Course is not a summer school suited only for younger
scholars. Rather, a significant proportion of seasoned investigators are
regularly present among the attendees, often senior faculty at their own
institutions. The balanced audience that we strive to maintain in each
Advanced Course greatly contributes to the development of intense
cross-disciplinary debates among faculty and participants that typically
address the most advanced and emerging areas of each topic.
Each faculty member presents lectures and discusses with the participants
for one entire day. Such long interaction together with the small,
exclusive Course size provides the uncommon opportunity to fully explore
the expertise of each faculty, often through one-to-one mentoring. This is
unparalleled and priceless.
The Certosa di Pontignano provides the perfect setting to a relaxed yet
intense learning atmosphere, with the stunning backdrop of the Tuscan
landscapes. World-class wines and traditional foods will make the Advanced
Course on Data Science and Machine Learning the experience of a lifetime.
CALL FOR POSTER & ORAL PRESENTATIONS:
During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.
https://acdl2019.icas.xyz/registration/
Early registration deadline: April 15
ACDL 2019 Best Poster Award
AIxIA sponsors the ACDL 2019 Best Poster Award with a cash prize of 600
Euro.
VENUE & ACCOMMODATION:
The venue of ACDL 2018 will be The Certosa di Pontignano — Siena
Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info(a)lacertosadipontignano.com
lorenzopasquinuzzi(a)lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
A few Kilometres from Siena, on a hill dominating the town stands the
ancient Certosa di Pontignano, a unique place where nature, history and
hospitality blend together in memorable harmony. Built in the 1300, its
medieval structure remains intact with additions of the following
centuries. The Certosa is centred on its historic cloisters and gardens.
https://acdl2019.icas.xyz/venue/
ACCOMMODATION:
https://acdl2019.icas.xyz/accommodation/
EARLY REGISTRATION: by April 15
https://acdl2019.icas.xyz/registration/
We remind you that ACDL 2018 sold out a long time before the registration
deadline!
Anyone interested in participating in ACDL 2019 should register as soon as
possible!
Similarly for accommodation at the Certosa di Pontignano (the School
Venue), book your full board accommodation at the Certosa as soon as
possible!
All course participants should/must stay at the Certosa di Pontignano.
See you in Tuscany next July!
ACDL 2019 Organizing Committee.
ACDL 2019 Poster:
https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/01/poster-ACDL-20…
acdl(a)icas.xyz
https://acdl2019.icas.xyz
Past Edition - ACDL 2018:
https://acdl2018.icas.xyzhttps://www.facebook.com/groups/204310640474650/https://twitter.com/TaoSciences
* Apologies for multiple copies. Please forward to anybody who might be
interested *
* Please help us distributing in your circles (emails, blogs, and social
networks) the call for participation and call for oral talks/posters for
ACDL 2019. Together we will make ACDL 2019 a great event! *