DeepLearn 2017: early registration March 24*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
************************************************************
INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING
DeepLearn 2017
Bilbao, Spain
July 17-21, 2017
Organized by:
University of Deusto
Rovira i Virgili University
http://grammars.grlmc.com/DeepLearn2017/
************************************************************
--- Early registration deadline: March 24, 2017 ---
********************************************************
SCOPE:
DeepLearn 2017 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neuroscience, computer vision, speech recognition, language processing, drug discovery, biomedical informatics, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most deep learning subareas will be displayed, and main challenges identified through 4 keynote lectures, 30 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes.
ADDRESSED TO:
In principle, graduate students, doctoral students and postdocs will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. DeepLearn 2017 is also appropriate for more senior academics and practitioners who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.
REGIME:
In addition to keynotes, 3-4 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
VENUE:
DeepLearn 2017 will take place in Bilbao, the largest city in the Basque Country, famous for its gastronomy and the seat of the Guggenheim Museum. The venue will be:
DeustoTech, School of Engineering
University of Deusto
Avda. Universidades, 24
48014 Bilbao, Spain
KEYNOTE SPEAKERS: (to be completed)
Richard Socher (Salesforce), Tackling the Limits of Deep Learning
PROFESSORS AND COURSES:
Narendra Ahuja (University of Illinois, Urbana-Champaign), [introductory/intermediate] Basics of Deep Learning with Applications to Image Processing, Pattern Recognition and Computer Vision
Pierre Baldi (University of California, Irvine), [intermediate/advanced] Deep Learning: Theory and Applications to the Natural Sciences
Sven Behnke (University of Bonn), [intermediate] Visual Perception using Deep Convolutional Neural Networks
Mohammed Bennamoun (University of Western Australia), [introductory/intermediate] Deep Learning for Computer Vision
Hervé Bourlard (Idiap Research Institute), [intermediate/advanced] Deep Sequence Modeling: Historical Perspective and Current Trends
Thomas Breuel (NVIDIA Corporation), [intermediate] Segmentation, Processing, and Tracking, with Applications to Video, Gaming, VR, and Self-driving Cars
George Cybenko (Dartmouth College), [intermediate] Deep Learning of Behaviors
Rina Dechter (University of California, Irvine), [introductory] Algorithms for Reasoning with Probabilistic Graphical Models
Li Deng (Microsoft Research), tba
Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction to Deep Learning for Natural Language Processing
Michael Gschwind (IBM T.J. Watson Research Center), [introductory/intermediate] Deploying Deep Learning Applications at the Enterprise Scale
Yufei Huang (University of Texas, San Antonio), [intermediate/advanced] Deep Learning for Bioinformatics
Soo-Young Lee (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Multi-modal Deep Learning for the Recognition of Human Emotions in the Real
Li Erran Li (Columbia University), [intermediate/advanced] Deep Learning Security: Adversarial Examples and Adversarial Training
Michael C. Mozer (University of Colorado, Boulder), [introductory/intermediate] Incorporating Domain Bias into Neural Networks
Roderick Murray-Smith (University of Glasgow), [intermediate] Applications of Deep Learning Models in Human-Computer Interaction Research
Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks
Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video
Marc’Aurelio Ranzato (Facebook AI Research), [introductory/intermediate] Learning Representations for Vision, Speech and Text Processing Applications
Maximilian Riesenhuber (Georgetown University), [introductory/intermediate] Deep Learning in the Brain
Ruslan Salakhutdinov (Carnegie Mellon University), [intermediate/advanced] Foundations of Deep Learning and its Recent Advances
Alessandro Sperduti (University of Padua), [intermediate/advanced] Deep Learning for Sequences
Jimeng Sun (Georgia Institute of Technology), [introductory] Interpretable Deep Learning Models for Healthcare Applications
Julian Togelius (New York University), [intermediate] (Deep) Learning for (Video) Games
Joos Vandewalle (KU Leuven), [introductory/intermediate] Data Processing Methods, and Applications of Least Squares Support Vector Machines
Ying Nian Wu (University of California, Los Angeles), [introductory/intermediate] Deep Generative Models and Unsupervised Learning
Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] Statistical Machine Learning Perspectives of Extending Deep Neural Networks: Kernels, Logics, Regularizers, Priors, and Distributed Algorithms
Georgios N. Yannakakis (University of Malta), [introductory/intermediate] Deep Learning for Games - But Not for Playing them
Scott Wen-tau Yih (Microsoft Research), [introductory/intermediate] Continuous Representations for Natural Language Understanding
Richard Zemel (University of Toronto), [introductory/intermediate] Learning to Understand Images and Text
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david.silva409 (at) yahoo.com by July 9, 2017.
ORGANIZING COMMITTEE:
José Gaviria
Carlos Martín (co-chair)
Manuel Jesús Parra
Iker Pastor
Borja Sanz (co-chair)
David Silva
REGISTRATION:
It has to be done at
http://grammars.grlmc.com/DeepLearn2017/registration.php
The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.
ACCOMMODATION:
A suggestion for accommodation is available on the website.
CERTIFICATE:
Participants will be delivered a certificate of attendance including the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david.silva409 (at) yahoo.com
ACKNOWLEDGMENTS:
Universidad de Deusto
Universitat Rovira i Virgili
Apologies if you receive multiple copies.
----------------------------------------------------------------------------------------
Given numerous requests, we have extended the paper submission deadline for the conference. Please see below for the new deadline.
SBP-BRiMS 2017
2017 International Conference on Social Computing,
Behavioral-Cultural Modeling & Prediction and Behavior
Representation in Modeling and Simulation (SBP-BRiMS)
July 5 (Wed) -- 8 (Sat), 2017, Lehman Auditorium, George
Washington University, Washington DC, USA
Conference Website: http://sbp-brims.org
All papers are qualified for the Best Paper Award. Papers with student first
authors will be considered for the Best Student Paper Award. Those
receiving these awards will be invited to publish an extended version in a
special issue of the journal Computational and Mathematical Organization
Theory.
IMPORTANT DATES:
Regular Paper Abstract Submission : Mar 1 (Wed), 2017
Regular Paper Submission : Mar 8 (Wed), 2017
Author Notification : Mar 27 (Mon), 2017
Final Version Submission : Apr 10 (Mon), 2017
Note, all regular papers will be evaluated for: presentation in plenary,
presentation in regular session, presentation as poster, or no presentation.
All accepted papers will be published in the physical proceedings – the
Springer LNCS volume. This volume is considered archival.
Challenge Problem Submission : May 12 (Fri), 2017
Those submitting a response to the challenge are to submit a poster and a
short paper by this date. All accepted papers will be published in the online
proceedings only and will not be included in the Springer LNCS volume.
The online proceedings is not considered archival.
Posters & Demos Short Paper Submission : May 12 (Fri), 2017
This short paper submission is intended for late breaking results,
technology demos, and those papers from industry, government or the
military where constraints prevent the authors from writing a full paper. All
short papers (including those describing demos) will be evaluated for:
presentation as a poster, or no presentation. All accepted papers will be
published in the online proceedings only and will not be included in the
Springer LNCS volume. The online proceedings is not considered
archival.
Tutorial Proposal Submission : March 10 (Fri), 2017
Conference : July 5(Wed) to 8(Sat), 2017,
including the following:
Pre-conference Tutorial Sessions : July 10, 2017 (first day conference)
Poster Session : At Conference Poster Night
Technology Demos : Lunch times & Poster Night
Challenge Problem Evaluation : At Conference Poster Night
ABOUT SBP-BRiMS:
SBP-BRiMS is a multidisciplinary conference with a selective single paper
track and poster session. The conference also invites a small number of
high quality tutorials and nationally recognized keynote speakers. The
conference has grown out of two related meetings: SBP and BRiMS, which
were co-located in previous years.
Social computing harnesses the power of computational methods to study
social behavior, such as during team collaboration. Cultural behavioral
modeling refers to representing behavior and culture in the abstract, and is
a convenient and powerful way to conduct virtual experiments and
scenario analysis. Both social computing and cultural behavioral modeling
are techniques designed to achieve a better understanding of complex
behaviors, patterns, and associated outcomes of interest. Moreover, these
approaches are inherently interdisciplinary; subsystems and system
components exist at multiple levels of analysis (i.e., “cells to societies”)
and across multiple disciplines, from engineering and the computational
sciences to the social and health sciences.
The SBP-BRiMS conference invites modeling and simulation papers from
academics, research scientists, technical communities and defense
researchers across traditional disciplines to share ideas, discuss research
results, identify capability gaps, highlight promising technologies, and
showcase the state-of-the-art in applications in the areas of cultural
behavioral modeling, prediction, and social computing.
Please see the SBP-BRiMS17 website for more details. Keynotes and
tutorials delivered in the previous SBP and BRiMS meetings are available
through the websites http://sbp-brims.org and
http://cc.ist.psu.edu/BRIMS2015/ .
CALL FOR PAPERS:
Submissions are solicited on research issues, theories, and applications.
Topics of interests include the following:
Advances in Sociocultural & Behavioral Processes
* Group interaction and collaboration
* Group formation and evolution
* Group representation and profiling
* Collective action and governance
* Cultural patterns & representation
* Social conventions, social contexts and processes
* Influence process and recognition
* Public opinion representation, identification and modeling
* Information diffusion
* Psycho-cultural situation awareness
Behavior Modeling
* Intelligent agents and avatars/adversarial modeling
* Cognitive robotics and human-robot interaction
* Models of reasoning and decision making
* Model validation & comparison
* Socio-cultural M&S: team/group/crowd/behavior
* Physical models of human movement
* Performance assessment & skill monitoring/tracking
* Performance prediction/enhancement/optimization
* Intelligent tutoring systems
* Knowledge acquisition/engineering
* Human behavior issues in model federations
Methodological Challenges
* Mathematical foundations
* Verification and validation
* Sensitivity analysis
* Matching technique or method to research questions
* Metrics and evaluation
* Methodological innovation
* Model federation and integration
* Evolutionary computing
* Optimization
Information, Systems, & Network Science
* Data mining on social media platforms
* Diffusion and other dynamic processes over networks
* Inference of network topologies and changes over time
* Analysis of link formations and link types
* Detection of communities and other types of structures in networks
* Analysis of high-dimensional networks
* Analytics for social and human dynamics
Military & Intelligence Applications
* Evaluation, modeling and simulation
* Group formation and evolution in the political context
* Technology and flash crowds
* Networks and political influence
* Group representation and profiling
* Reasoning about terrorist group behaviors and policies towards them
Applications for Health and Well-being
* Social network analysis to understand health behavior
* Modeling of health policy and decision making
* Modeling of behavioral aspects of infectious disease spread
* Intervention design and modeling for behavioral health
Other Applications
* Economic applications of behavioral and social prediction
* Viral marketing
* Reasoning about development aid through social modeling
* Reasoning about global educational efforts through cognitive simulation
FORMAT AND SUBMISSION:
The conference solicits three categories of papers:
Regular papers (max. 10 pages)
All topics and authors (academic, government, industry) welcome
Published in a Springer volume and online. Plenary or poster presentation.
Short papers and Late-breaking results (max. 6 pages)
All topics and authors welcome.
Published online. Typically a poster presentation.
Demos (2-page abstract, or max. 6 pages)
Published online. Typically a poster or demo presentation.
Paper Formatting Guideline
The papers must be in English and MUST be formatted according to the
Springer-Verlag LNCS/LNAI guidelines. Sample LaTeX2e and WORD files
are available at http://www.springer.com/computer/lncs?SGWID=0-164-6-
793341-0. It is not required to submit a cover page.
All regular paper submissions should be submitted as a paper with a
maximum of 10 pages using the foregoing format. All submissions for
posters, demo-presentations, challenge problem entries and late breaking
results should be submitted as a paper with a maximum of 6 pages using
the same format as the regular papers. All accepted entries will be posted
on the SBP-BRiMS 2017 website.
A selection of authors will be invited to contribute journal versions of their
papers to one of two planned special issues of the Springer journal
“Computational and Mathematical Organization Theory” and another high-
profile journal.
The submission website will be available at:
https://easychair.org/conferences/?conf=sbpbrims2017. To register a
paper abstract, use the standard Easychair submission website and
submit your title and abstract. Until the final paper deadline, you will be
able to update your submission.
PUBLICATION
For any questions and inquiries concerning submissions, please email the
program chairs at sbpbrims2017(a)gmail.com.
PRE-CONFERENCE TUTORIAL SESSIONS:
Several half-day sessions will be offered on the day before the full
conference. Sessions will be designed to meet the needs of one of two
distinct groups. One group will consist of attendees who have backgrounds
in computational science; computer science, engineering, and other
mathematically oriented disciplines. Other tutorial sessions will be
designed for behavioral and social scientists and others (e.g. those with
medical backgrounds or training in public health) who may have limited
formal education in the computational sciences. Attendees will gain an
understanding of terminology, theories, and general approaches employed
by computationally based fields, especially with respect to modeling
approaches.
Tutorial proposal submission:
Tutorial proposals should be submitted online to
sbpbrims(a)andrew.cmu.edu.
At minimum, each proposal must contain the following information:
* Title of the tutorial.
* Description of the tutorial topic and structure.
* Expected audience (including the expected backgrounds of the
attendees).
* Short bio and contact information of the organizers.
More details regarding the pre-conference tutorial sessions, including
instructors, course content, and registration information will be posted to
the conference website (SBP-BRiMS.org) as soon as this information
becomes available. For further information, please contact
sbpbrims(a)andrew.cmu.edu.
CHALLENGE:
The conference expects to announce a computational challenge as in
previous years.
Additional details will be posted on the conference website.
FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES:
Previous SBP-BRiMS conferences have included a Cross-fertilization
Roundtable session or a Funding Panel. The purpose of the cross-
fertilization roundtables is to help participants become better acquainted
with people outside of their discipline and with whom they might consider
partnering on future SBP-BRiMS-related research collaborations. The
Funding Panel provides an opportunity for conference participants to
interact with program managers from various federal funding agencies.
Participants for the previous funding panels have included representatives
from federal agencies, such as the NSF, NIH, DoD, ONR, AFOSR, USDA,
etc.
BEST PAPER AWARDS:
SBP-BRiMS17 will feature a Best Paper Award and a Best Student Paper
Award. All papers are qualified for the Best Paper Award. Papers with
student first authors will be considered for the Best Student Paper Award.
HOTEL AND LOGISTICS:
Information on hotel and logistics will be provided at the conference
website as it becomes available.
TRAVEL SCHOLARSHIPS:
It is anticipated that a limited number travel scholarships will be available
on a competitive basis. Additional information will be provided on the SBP-
BRiMS Conference website as it becomes available.
########################################################################
To unsubscribe from the STATLER-SBP-BRIMS list, click the following link:
https://listserv.wvu.edu/cgi-bin/wa?TICKET=NzM2NDE0IGNvbXB1dGF0aW9uYWwuc2Np…
Call for Papers
---
ICA3PP Workshop: 5th International Workshop on Parallelism in
Bioinformatics (proceedings published by Springer LNCS)
+
Special Issue in the Journal of Computational Biology (Impact Factor:
1.537, Quartile Q1, ISSN: 1066-5277)
---
SUBMISSION DEADLINE: APRIL 26, 2017
http://arco.unex.es/mavega/pbio/2017/https://research.comnet.aalto.fi/ICA3PP2017/workshops.html
We seek original, high-quality research papers, clearly focused on the
application of Parallelism to any possible Bioinformatics problem. In
particular, contributions are solicited on, but are not limited to, the
following topics:
- Parallel and distributed algorithms in Bioinformatics.
- Workload partitioning strategies in Bioinformatics.
- Memory-efficient algorithms in Bioinformatics.
- Parallel tools and applications in Bioinformatics.
- Data-intensive Bioinformatics (including Big Data storage and processing).
- Multicore computing in Bioinformatics.
- Multithreaded computing in Bioinformatics.
- Cluster computing in Bioinformatics.
- Supercomputing in Bioinformatics.
- Cloud/Grid/P2P computing in Bioinformatics.
- Volunteer computing in Bioinformatics.
- Hardware accelerators (GPUs, FPGAs, etc.) in Bioinformatics.
- Heterogeneous computing in Bioinformatics.
- Green computing in Bioinformatics.
- Mobile computing in Bioinformatics.
- Emerging parallel programming models in Bioinformatics.
- Parallel performance evaluation, analysis, and optimization in
Bioinformatics.
- Parallel visualization, modelling, simulation, and exploration in
Bioinformatics.
With regard to the Bioinformatics problems, many different alternatives
exist: bioinformatics applied to biomedicine and drug design; biological
sequence analysis, comparison and alignment; motif, gene and signal
recognition/discovery; molecular evolution; phylogenetics and
phylogenomics; determination or prediction of the structure of RNA and
protein; DNA twisting and folding; gene expression and gene regulatory
networks; deduction of metabolic pathways; microarray design and
analysis; proteomics; functional genomics; molecular docking; design of
DNA sequences for molecular computing; etc.
All the details (paper format, submission system, important dates, etc.) at:
http://arco.unex.es/mavega/pbio/2017/https://research.comnet.aalto.fi/ICA3PP2017/workshops.html
---
Kind regards.
--
-------------------------------------------------
Dr. Miguel A. Vega-Rodriguez <mavega(a)unex.es>
http://arco.unex.es/mavega
ARCO Research Group
University of Extremadura
Dept. Technologies of Computers & Communications
Escuela Politecnica. Campus Universitario, s/n
10003 Caceres. SPAIN
Tel: +34-927-257263
Fax: +34-927-257187
-------------------------------------------------
==== Call for Workshops ====
The FAS* 2017 Steering Committee invites proposals for the Workshop Program to be held along with the technical conferences SASO 2017 and ICCAC 2017. FAS*W workshops will provide a meeting for presenting novel ideas in a less formal and possibly more focused way than the conferences themselves. Their aim is to stimulate and facilitate active exchange, interaction, and comparison of approaches, methods, and ideas related to specific topics, both theoretical and applied, in the general area of Self-Adaptive and Self-Organizing Systems as well as Cloud and Autonomic Computing. To motivate the discussion and participation of all the workshop attendants, we encourage organizers to get away of the typical "mini-conference" format of a workshop, and include more discussion sessions, panels, etc. Members from all areas of the SASO and ICCAC communities are invited to submit workshop proposals for review. Workshops on global challenges, applications or on new and emerging topics are particularly encouraged. Workshops can vary in length, but most will be one full day in duration. Optionally, if desired by the organizers, workshop proceedings can be published through IEEE. Attendance of workshops will be included in the registration fee for the main SASO/ICCAC conference.
==== Important Dates ====
Workshop proposal submission deadline: April 7, 2017*
Workshop acceptance notification: April 14, 2017*
CfP submission deadline: April 21, 2017
Workshop paper submission deadline: July 7, 2017
Workshop paper acceptance notification: July 21, 2017
Early registration deadline: TBD
Camera-ready papers due: July 26, 2017
Workshop notes submission to workshop chairs: July 28, 2017
Workshops dates: September 18 & 22, 2017
* Please submit your workshop proposals as soon as possible (i.e. before April 7)! We will try to decide earlier on workshop acceptance in order to give the organizers more time to solicit papers.
==== FAS*W 2017 Workshops - Requirements for Submission ====
Proposals for workshops should be separated in two parts. The first part should be organized as preliminary call for papers or call for participation, depending on the intended format of the workshop, with a maximum of two pages and contain the following information:
PART 1:
- Title of the workshop.
- A brief technical description of the workshop, specifying the workshop goals, the technical issues that it will address, and the relevance of the workshop to the main conferences. Please specify, which of the two main conferences the workshop assigned to (if any)!
- Description of paper review process (if any) and acceptance standards in order to keep the workshop high in quality. Note that papers must be in the same format as the conference proceedings and may not be more than 6 pages in length.
- The names, affiliations, postal addresses, phone numbers, and email addresses of the proposed workshop organizing committee. This committee should consist of three or four people knowledgeable about the technical issues to be addressed. The organizing committee should include individuals from multiple institutions.
- The primary email address for contacting the organizing committee.
- Expected duration of the workshop (half or full day).
- A brief description of the workshop format.
- List of potential program committee members (if applicable), including their title and affiliations.
- List of potential invited speakers, panelists, or disputants (if applicable).
PART 2:
The second part with a maximum of three pages should contain additional information not suitable for a Call for Papers, including:
- A discussion of why and to whom the workshop is of interest.
- A list of related workshops held within the last three years, if any, and their relation to the proposed workshop.
- Information about previous offerings of the proposed workshop: when and where it has been offered in the past, organizers names and affiliations, number of submissions, acceptances and registered attendees.
- An indication of the envisaged acceptance rate (if applicable).
- A description of the qualifications of the individual committee members with respect to organizing a SASO or ICCAC workshop, including a list of workshops previously arranged by any members of the proposed organizing committee, if any.
- A list of places (distribution lists, web sites, journals, etc.) where the workshop is planned to be advertised.
- All proposals should be submitted in plain ASCII text or PDF format by electronic mail to the FAS*W 2017 Workshop Chairs, via Christopher Frantz, as described below.
==== Selection Criteria ====
The selection of the workshops to be included in the final FAS* 2017 Workshop program will be based upon multiple factors, including:
- the scientific/technical interest of the topics,
- the quality of the proposal,
- complementarity with the conference topics,
- balance and distinctness of workshop topics, and
- the capacity of the conference workshop program.
Note that authors of proposals addressing similar and/or overlapping content areas and/or audiences may be requested to merge their proposals.
==== Responsibilities of FAS* 2017 Workshop Chairs ====
For all accepted proposals, FAS* 2017 will be responsible for:
- Providing publicity for the workshop series as a whole.
- Providing logistical support and a meeting place for the workshops.
- Together with the organizers, determining the workshop date and time.
- Liaising and coordinating between the workshop chairs and the finance chair, publicity chair, registration chair, and web chair for FAS*.
- Arranging for publication of proceedings.
==== Responsibilities of Workshop Organizers ====
Workshop organizers will be responsible for the following:
- Setting up a web site for the workshop.
- Advertising the workshop (and the main FAS* conference), and issuing a call for papers and a call for participation.
- Collecting and evaluating submissions, notifying authors of acceptance or rejection on a timely basis, and ensuring a transparent and fair selection process. All workshop organizers commit themselves to adopt the deadlines set by the committee.
- Making the pdf of the whole workshop notes available to the workshop chair, as well as a list of audio-visual requirements and any special room requirements.
- Writing a 1-page organizers? introduction for the workshop proceedings.
Ensuring that the workshop organizers and the participants register for the workshop and/or the main conference (at least one author must register for the paper to appear in the proceedings).
- FAS* reserves the right to cancel any workshop if the above responsibilities are not fulfilled, or if too few attendees register for the workshop to support its running costs.
==== Submissions and Inquiries ====
Please send proposals (as a PDF document) and inquiries to: Christopher Frantz (cf(a)christopherfrantz.org) or Jeremy Pitt (j.pitt(a)imperial.ac.uk)
https://saso2017.telecom-paristech.fr/committees.html
Please help us disseminating this announcement. Sorry for duplicates.
=====================
*** CALL FOR PAPERS ***
Special Issue on Dynamic Geometry and Automated Reasoning
https://sites.google.com/site/kovzol/jsc-si-dg-ar
Journal of Symbolic Computation*
https://www.journals. elsevier.com/journal-of-symbolic-computation
GUEST EDITORS:
Francisco Botana, University of Vigo, Spain
Zoltán Kovács, The Private University College of Education of the Diocese of Linz, Austria
Tomas Recio, University of Cantabria, Spain
IMPORTANT DATES:
- submission deadline: September 1, 2017
- notification of acceptance / rejection: February 2, 2018
- final versions: March 30, 2018
SCOPE:
Since the last half century, automated deduction in elementary geometry has become one of the most successful achievements in the field of automated reasoning. Along these decades various methods and techniques have been studied and developed for automated proving and discovering of elementary geometry statements. On the other hand, dynamic geometry software systems have emerged, such as Cabri Geometry, C.a.R., Cinderella, DrGeo, GeoGebra, The Geometer's Sketchpad, Geometry Expert, Geometry Expressions or Kig with an ever-increasing presence in mathematics education. Some of them possess a large number of users (over thirty million) all around the world.
The merging of these two tools (automatic proving and dynamic geometry) is, thus, a very natural, challenging and promising issue, currently involving logic, symbolic computation, software development, algebraic geometry and mathematics education experts all from over the world.
The Special Issue intends to be an opportunity for
- presenting the current state of the art concerning the development of automatic proving features on dynamic geometry systems,
- discussing the current and potential applications of such features in different contexts, such as CAGD or mathematics education.
TOPICS (not restricted to):
- Algorithmic aspects: formal, logic and algebraic geometry approaches, constraint solving, invariant and coordinate-free methods, real and complex geometry issues, probabilistic, synthetic approaches, techniques from discrete mathematics, combinatorics, and numerics.
- Software aspects: Implementation of automated proving methods in dynamic geometry programs, design of packages and systems, data representation. Parallel and distributed computing, considerations for modern hardware and new devices. User-interface issues, use with systems for digital libraries, courseware, ...
- Application aspects: applications to mechanics, geometric modeling, CAGD/CAD, computer vision, robotics and education.
Papers must not duplicate work already published or submitted for publication elsewhere. All the papers will be refereed according to the JSC standards. Papers should follow the guidelines for JSC submissions (see https://www.elsevier.com/journals/journal-of-symbolic-computation/0747-7171…), and should be submitted through Easychair (https://easychair.org/conferences/?conf=jscdgarsi2018).
The introduction of the paper must explicitly address the following questions in succinct and informal manner:
- What is the problem?
- Why is the problem important?
- What has been done so far on the problem?
- What is the main contribution of the paper on the problem?
- Why is the contribution original? (see below for clarification)
- Why is the contribution non-trivial?
Make the paper complete (since there is no page limit):
- All the related works and issues must be completely and carefully discussed.
- All the previous relevant JSC papers must be properly cited and discussed.
- All the theorems must be rigorously proved (no sketch allowed).
- All the important definitions/theorems/algorithms must be illustrated by well-chosen examples.
* An international journal, the Journal of Symbolic Computation, founded by Bruno Buchberger in 1985, is directed to mathematicians and computer scientists who have a particular interest in symbolic computation. Automated theorem proving is one of the research areas of interest highlighted in the Journal’s description. The Journal of Symbolic Computation has a 1.030 Impact Factor, according to the last Thompson Reuters Journal Citation Reports (2016).
----------------------------------------------------------------------------
The 14th International Conference on Mobile Systems and Pervasive Computing
(MobiSPC)
July 24-26, 2017
Leuven, Belgium
http://cs-conferences.acadiau.ca/mobispc-17/
----------------------------------------------------------------------------
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-2017 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-2017 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.
Important Dates
----------------
- Workshop Proposal Due: January 20, 2017
- Paper Submission Due: March 8, 2017
- Acceptance Notification: April 28, 2017
- Final Manuscript Due: May 28, 2017
Publication
------------
All MobiSPC 2017 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 and on Elsevier content
platform ScienceDirect (www.sciencedirect.com), and will be freely
available worldwide. All papers in Procedia will be indexed by Scopus (
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) and
Engineering Village (Ei) (www.engineeringvillage.com). This includes EI
Compendex (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 special issues of:
- Journal of Ambient Intelligence and Humanized Computing (IF: 0.835), by
Springer (http://www.springer.com/engineering/journal/12652)
- Journal of Future Generation Computer Systems (IF: 2.430), by Elsevier (
http://www.journals.elsevier.com/future-generation-computer-systems/)
MobiSPC 2017 will be held in conjunction with the 12th International
Conference on Future Networks and Communications (FNC,
http://cs-conferences.acadiau.ca/fnc-17/).
MobiSPC 2017 will be held in the city of Leuven. Leuven is the capital of
the province of Flemish Brabant in Belgium. It is located about 25
kilometres (16 miles) east of Brussels. It is the 10th largest municipality
in Belgium and the fourth in Flanders. Leuven is home to the Katholieke
Universiteit Leuven, the largest and oldest university of the Low Countries
and the oldest Catholic university still in existence. The related
university hospital of UZ Leuven, is one of the largest hospitals of
Europe. The city is also known for being the headquarters of Anheuser-Busch
InBev, the world's largest brewer and one of the five largest
consumer-goods companies 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 Chairs
Danny Hughes, K. U. Leuven, Belgium
Hossam Hassanein, Queen's University, Canada
Program Chairs
Ansar-Ul-Haque Yasar, IMOB – Hasselt University, Belgium
Stéphane Galland, Université de Technologie de Belfort-Montbéliard, France
Advisory Committee
Nirwan Ansari, New Jersey Institute of Technology, USA
Abdelfettah Belghith, University of Manouba, Tunisia
Flavien Balbo, Ecole Nationale Superieure des Mines de Saint Etienne,
France
Erol Gelenbe, Imperial College, UK
Noël de Palma, Université de Grenoble, France
Ralf Steinmetz, Technische Universitaet Darmstadt, Germany
David Taniar, Monash University, Australia
Mohamed Younis, University of Maryland Baltimore County, USA
Workshops Chairs
Zahoor Khan, Higher Colleges of Technology, UAE
Tracks Chairs
Habib M. Ammari, Norfolk State University, USA
Longbiao Chen, Xiamen University, China
Danny Hughes, K. U. Leuven, Belgium
Nafaa Jabeur, German University of Technology, Oman
Jason J. Jung, Chung-Ang University, Korea
Marc Körner, TUB Berlin, Germany
Prashant Kumar, University of Surrey, UK
Nawaz Mohamudally, University of Technology, Mauritius
Francesco Piccialli, University of Naples, Federico II, Italy
Christian Poellabauer, University of Notre Dame, USA
M. Elena Renda, Istituto di Informatica e Telematica - CNR, Italy
Michael Sheng, University of Adelaide, Australia
Leye Wang, Hong Kong University of Science and Technology, China
Publicity Chairs
Mikhail Gofman, California State University of Fullerton, USA
Pedro E. Lopez-de-Teruel, Spain
Mario Henrique Cruz Torres, K.U. Leuven, Belgium
Technical Program Committee
http://cs-conferences.acadiau.ca/mobispc-17/#programCommittees
Steering Committee Chair
Elhadi Shakshuki, Acadia University, Canada
*** Fifth Call for Special Sessions & Workshops Proposals ***
9th International Conference on Computational Collective Intelligence
ICCCI 2017
Hilton Cyprus, Nicosia, Cyprus
27 - 29 September, 2017
http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=Y29tcHV0YXRpb25hbC5zY2llbmNlCQ…
*** Firm Deadline: 15th March 2017 ***
Computational Collective Intelligence is most often understood as an AI
subfield dealing with soft computing methods which enable making group
decisions or processing knowledge among autonomous units acting in
distributed environments. Web-based systems, social networks and
multi-agent systems very often need these tools for working out consistent
knowledge states, resolving conflicts and making decisions. ICCCI 2017 is
the 9th edition of the conference organized by the University of Cyprus and
Wroclaw University of Science and Technology in Poland, in cooperation with
the IEEE SMC Technical Committee on Computational Collective Intelligence.
The aim of the conference is to provide an internationally respected forum
for scientific research in the computer-based methods of collective
intelligence and their applications in (but not limited to) such fields as
group decision making, consensus computing, knowledge integration,
semantic web, social networks and multi-agent systems.
Topics of Interest
We welcome all submissions in the subjects of CCI related (but not limited)
to the following topics:
· Agent Theory and Application
· Automated Reasoning
· Cognitive Modeling of Agent Systems
· Collective Intelligence
· Collective Processing
· Computational Biology
· Computer Vision
· Computational Intelligence
· Computational Security
· Consensus Computing
· Cooperative Systems and Control
· Cybernetics for Informatics
· Data Integration
· Data Mining for Social Networks
· Distributed Intelligence
· Evolutionary computing
· Fuzzy Systems
· Geographic Information Systems
· Grey Theory
· Group Decision Making
· Hybrid Systems
· Information Retrieval and Integration
· Information Hiding
· Intelligent Architectures
· Intelligent Applications
· Intelligent Buildings
· Intelligent Control
· Intelligent E-learning/Tutoring
· Intelligent Image Processing
· Intelligent Networks
· Intelligent Transportation Systems
· Knowledge Integration
· Knowledge Representation
· Knowledge-Based Systems
· Logic in Intelligence
· Machine Learning
· Mobile Intelligence
· Multicriteria Decision Making
· Natural Language Processing
· Optimization and Swarm Intelligence
· Pattern Recognition
· Probabilistic and Uncertain Reasoning
· Rough Sets
· Semantic Web
· Smart Living Technology
· Smart Sensor Networks
· Soft Computing
· Social Networks
· Ubiquitous Computing
· Web Intelligence and Interaction
Call for Special Sessions and Workshops Proposals
ICCCI 2017 invites proposals for Special Sessions and Workshops to be
held during the conference. They intend to provide researchers in focused
areas the opportunity to present and discuss their work, as well as to
offer a forum for interaction among a broader community of researchers.
A Special Session or Workshop will consist of a group of papers in a
sub-discipline of Computational Collective Intelligence related to the
main topics of ICCCI 2017.
The papers will be required to meet the same standards as ICCCI 2017
papers and will be published in the conference proceedings, in a bound
volume by Springer in their Lecture Notes in Artificial Intelligence series.
All the Special Sessions and Workshops will be centralized as tracks in the
same conference submission and reviewing system (EasyChair) as the
regular papers.
Please send the Special Session and Workshop proposals with the following
information:
· Title & acronym of the special session
· Brief profiles of special session organizers
· General description of the special session scope
· List of topics
· Proposed Session Program Committee (to be invited)
The format for the Special Session or Workshop proposal should follow
the pattern of the template available on the conference web site.
The organizers will be responsible for the advertisement and promotion of
the Special Sessions or Workshops and the conference including the Special
Sessions and Workshops webpage preparation. The management of papers
review will be achieved by Special Session and Workshops Committees, using
the Conference System (a separate EasyChair track will be provided for each
Special Session and Workshop). The organizers are responsible for managing
the review process. All the reviews should be submitted through EasyChair.
Each paper should obtain at least two reviews.
For Special Sessions and Workshops Issues please contact:
Bogdan Trawinski
Wroclaw University of Science and Technology, Poland
bogdan.trawinski(a)pwr.edu.pl
Important Dates
· Special Session & Workshop Proposals: March 15, 2017 (*** firm ***)
· Special Session & Workshop Acceptance: March 21, 2017
· Conference Dates: September 27-29, 2017
Organization
Honorary Chairs
· Costas Christophides, Rector of University of Cyprus, Cyprus
· Pierre Lévy, University of Ottawa, Canada
· Cezary Madryas, Rector of Wroclaw University of Technology, Poland
General Chairs
· Ngoc Thanh Nguyen, Wroclaw University of Science and Technology, Poland
· George A. Papadopoulos, University of Cyprus, Cyprus
Program Chairs
· Costin Badica, University of Craiova, Romania
· Piotr J?drzejowicz, Gdynia Maritime University, Poland
· Kazumi Nakamatsu, University of Hyogo, Japan
Organising Chair
· Georgia Kapitsaki, University of Cyprus, Cyprus
Special Sessions and Workshops Chairs
· Achilleas Achilleos, University of Cyprus, Cyprus
· Bogdan Trawinski, Wroclaw University of Science and Technology, Poland
Doctoral Track Chair
· George Pallis, University of Cyprus, Cyprus
Publicity Chair
· Christos Mettouris , University of Cyprus, Cyprus
Local Organising Committee
· Marios Komodromos, University of Cyprus, Cyprus
· Christos Mettouris, University of Cyprus, Cyprus
· Rafa Kern, Wroclaw University of Science and Technology, Poland
· Marcin Pietranik, Wroclaw University of Science and Technology, Poland
· Zbigniew Telec, Wroclaw University of Science and Technology, Poland
Steering Committee
· Ngoc Thanh Nguyen (chair), Wroclaw University of Science and Technology,
Poland
· Piotr Jdrzejowicz, Gdynia Maritime University, Poland
· Shyi-Ming Chen, National Taiwan University of Science and Technology,
Taiwan
· Kiem Hoang, University of Information Technology, VNU-HCM, Vietnam
· Lakhmi C. Jain, University of South Australia, Australia
· Geun-Sik Jo, Inha University, Korea
· Janusz Kacprzyk, Polish Academy of Sciences, Poland
· Ryszard Kowalczyk, Swinburne University of Technology, Australia
· Toyoaki Nishida, Kyoto University, Japan
· Manuel Núñez, Universidad Complutense de Madrid, Spain
CD-MAKE 2017 - CALL FOR PAPERS
******************************************************************************************
International Cross Domain Conference for Machine Learning & Knowledge Extraction (CD-MAKE)
August 29 - September 1, 2017, Reggio Calabria, Italy
https://cd-make.net
******************************************************************************************
"Science is to test crazy ideas -
Engineering is to put these ideas into Business"
CD-MAKE is a joint effort of IFIP TC 5, IFIP WG 8.4, IFIP WG 8.9 and IFIP WG 12.9 and is held in conjunction with the International Conference on Availability, Reliability and Security (ARES) and takes place in Reggio di Calabria (Italy) from August, 29 to September, 1, 2017. Keynotes by Neil D. LAWRENCE and Marta MILO
IFIP - the International Federation for Information Processing is the leading multi-national, non-governmental, apolitical organization in Information & Communications Technologies and Computer Sciences, is recognized by the United Nations and was established in the year 1960 under the auspices of the UNESCO as an outcome of the first World Computer Congress held in Paris in 1959.
CD stands for Cross-Domain and means the integration and appraisal of different fields and application domains (e.g. Health, Industry 4.0,
etc.) to provide an atmosphere to foster different perspectives and opinions. The conference is dedicated to offer an international platform for novel ideas and a fresh look on the methodologies to put crazy ideas into Business for the benefit of the human.
MAKE stands for MAchine Learning & Knowledge Extraction.
Papers are sought from the following seven topical areas. Papers which deal with fundamental questions and theoretical aspects in machine learning are very welcome.
1 Data science (data fusion, preprocessing, data mapping, knowledge representation),
2 Machine learning (both automatic ML and interactive ML with the human-in-the-loop),
3 Graphs/network science (i.e. graph-based data mining),
4 Topological data analysis (i.e. topological data mining),
5 Time/entropy (i.e. entropy-based data mining),
6 Data visualization (i.e. visual analytics), and last but not least
7 Privacy, data protection, safety and security (i.e. privacy aware machine learning).
Proposals for Sessions/Workshops/Tutorials: March, 06, 2017 Paper Submission Deadline: April, 01, 2017
Accepted Papers will be published in a Springer Volume of Lecture Notes in Artificial Intelligence (LNAI), and outstanding contributions will be invited to special issues of journals tba.
For more information please visit the conference homepage:
https://cd-make.net
Deep Learning Applications
(Co-located with the Seventh International Conference on Innovative
Computing Technology (INTECH 2017)
Luton, UK
August 16-18, 2017
(www.dirf.org/intech)
Deep Learning (DL) is an important component of computational
intelligence which has the core domain machine learning research in it.
It provides more efficient algorithms to deal with large-scale data in
neuroscience, computer vision, speech recognition, language processing,
biomedical informatics, recommender systems, learning theory, robotics,
games, and so on. DL is gaining applications in many domains due to the
availability of large amount of data coupled with machine learning
algorithms. As the DL applications are on increasing trend a workshop
on it will enable to identify the emerging trends in the domain.
The proposed workshop will address the below listed but not limited
themes.
Neural network architectures
DL Applications to the Natural Sciences
Visual Perception using Deep Convolutional Neural Networks
Deep Learning for Computer Vision
Deep Sequence Modeling: Historical Perspective and Current Trends
Automatic Terminology Extraction
Deep Learning of Behaviors
Probabilistic Graphical Models Algorithms
Deep Learning for Natural Language Processing
Deep Learning Applications at the Enterprise Scale
Multi-modal Deep Learning
Deep Learning Security
Neural Networks
From Statistical Decision Theory and Deep Neural Networks
Machine Learning and Deep Neural Networks
Cognitive Architectures for Object Recognition in Video
Learning Representations for Vision, Speech and Text Processing
Applications
Deep Learning in the Brain
Deep Learning for Sequences
Interpretable Deep Learning Models for Healthcare Applications
Deep Learning for Video Games
Data Processing Methods, and Applications of Least Squares Support
Vector Machines
Deep Generative Models and Unsupervised Learning
Natural Language Understanding
Submissions
Submissions should provide original and unpublished research results or
ongoing research with simulations. The papers should be between 6 to 8
pages total in length in the IEEE format.
* All the accepted papers will appear in the proceedings published by
IEEE and fully indexed by IEEE Xplore.
* Modified version of the selected papers will appear in the special
issues of many peer reviewed and indexed journals.
Important Dates
Submission of papers: June 01, 2017
Notification of Acceptance/Rejection: July 01, 2017
Camera Ready: August 01, 2017
Registration August 01, 2017
Conference: August 16-18, 2017
Organizers
Ricardo Rodriguez Jorge, Engineering and Technology Institute, Mexico
Submissions at-http://www.dirf.org/intech/paper-submission/
Contact- intech(a)dirf.org
-------------------------------------------------------------------------
The first International Workshop on Parallel Data Mining (WPDM 2017)
CALL FOR PAPERS
As part of The International Conference on High Performance Computing & Simulation (HPCS 2017)
http://hpcs2017.cisedu.info or http://cisedu.us/rp/hpcs17
July 17 – July 21, 2017
Genoa, Italy
Submission Deadline: March 20, 2017
Submissions could be for full papers, short papers, poster papers, or posters
SCOPE AND OBJECTIVES
The Workshop on Parallel 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, parallelising 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 organisation and decomposition strategy in order to balance the workload while minimising data dependences. Another concern is related to minimising synchronisation and communication overhead. Finally, I/O costs should be minimised 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:
- Scalable message-passing parallel data mining algorithms using MPI
- Scalable shared-memory parallel data mining algorithms using OpenMP
- Scalable hybrid MPI + OpenMP parallel data mining algorithms
- Parallel data mining algorithms targeting GPUs and many-cores accelerators
- Exploiting modern parallel architectures including FPGA for parallel data mining applications
- Map-reduce based parallel data mining algorithms
- Middleware for high-performance data mining on grid and cloud environments
- 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 optimisation 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 and other topics related to synergy between parallel computing, optimisation and simulation. Submitted papers must not have been published or simultaneously submitted elsewhere. For Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2017.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments.
Submit a PDF copy of your full manuscript to the workshop EasyChair paper submission site at https://easychair.org/conferences/?conf=wpdm2017. Acknowledgement will be sent within 48 hours of submission.
Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2017 conference to present the paper at the workshop.
PROCEEDINGS
Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2017 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly.
SPECIAL ISSUE
Plans are underway to have the best papers, in extended version, selected for possible publication in a journal as special issue. Detailed information will soon be announced and will be made available on the conference website.
If you have any questions about paper submission or the symposium, please contact the symposium organisers.
IMPORTANT DATES
Paper Submissions: ------------------------------------------- March 20, 2017
Acceptance Notification: -------------------------------------- April 10, 2017
Camera Ready Papers and Registration Due by: ----------- May 03, 2017
Conference Dates: -------------------------------------------- July 17 – 21, 2017
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
International Program Committee:
All submitted papers will be reviewed by the workshop technical program committee members.
Committee formation is pending and will be finalised shortly. Current TPC members:
Matteo Ceccarello, University of Padova, Italy
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Pablo Moscato, University of Newcastle, Australia
Domenico Talia, University of Calabria, Italy
Paolo Trunfio, University of Calabria, Italy
Jeffrey D. Ullman, Stanford University, USA
Renato Vimieiro, Universidade Federal de Pernambuco, Brazil
Laurence T. Yang, St Francis Xavier University, Canada
For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organisation, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL: http://hpcs2017.cisedu.info or http://cisedu.us/rp/hpcs17 or contact one of the Conference's organisers.
-
************************************************************************************
Prof. Massimo Cafaro, Ph.D.
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
************************************************************************************