*IEEE Big Data 2020 Call for Workshop Proposals*
2020 IEEE International Conference on Big Data (IEEE BigData 2020)
http://bigdataieee.org/BigData2020/index.html
December 10-13, 2020, Atlanta, GA, USA
=================================================================
The Program Committees of the 2020 IEEE International Conference on Big
Data (IEEE BigData 2020) invite proposals for Workshops. Selected
workshops will hold a central position within the larger conference, which
will bring together top academic and industrial researchers from all over
the world to exchange cutting edge research ideas in Big Data research,
development and practice. Within these fields, workshops at Big Data form
crucial focal points for emerging communities and forums for the
examination of new ideas.
Here are a summary of the conferences in the previous years:
The IEEE Big Data conference series started in 2013 has established
itself as the top tier research conference in Big Data.
1. The first conference IEEE Big Data 2013 (
http://bigdataieee.org/BigData2013/ regular paper acceptance rate: 17.0%) was
held in Santa Clara, CA from Oct 6-9, 2013 with more than 400 registered
participants from 40 countries.
2. The IEEE Big Data 2014 (http://bigdataieee.org/BigData2014/, regular
paper acceptance rate: 18.5.0%) was held in Washington DC, Oct 27-30,
2014 with more than 600 registered participants from 45 countries.
3. The IEEE Big Data 2015 (http://bigdataieee.org/BigData2015/ ,
regular paper acceptance rate: 16.8%) was held in Santa Clara, Oct 29-Nov
1, 2015 with more than 780 registered participants from 49 countries.
4. The IEEE Big Data 2016 ( http://bigdataieee.org/BigData2016/ ,
regular paper acceptance rate: 18.7%) was held in Washington DC, Dec 5-8,
2016 with close to 900 registered participants from 43 countries.
5. The IEEE Big Data 2017 ( http://bigdataieee.org/BigData2017/,
regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14,
2017 with close to 1000 registered participants from 50 countries.
6. The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ ,
regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13,
2018 with close to 1100 registered participants from 47 countries.
7. The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ ,
regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec
9-12, 2019 with close to 1200 registered participants from 54 countries.
The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will
continue the success of the previous IEEE Big Data conferences. It will
provide a leading forum for disseminating the latest research in Big Data
Research, Development, and Applications.
Workshop organizers will be responsible for advertising the workshop,
forming the program committees, reviewing and selecting the papers, and
guaranteeing a high quality worthy of the prestige and breadth of the
Conference. All papers accepted for workshops will be included in the
Workshop Proceedings published by the IEEE Computer Society Press, made
available at the Conference.
The workshop organizers will also have the discretion of editing selected
papers (after their expansion and revision) into books or special journal
issues. Workshops should cover at least a single session (6 regular
papers). The workshop organizers should ensure registration and presence of
authors of accepted papers.
*Workshop Topics*
Each workshop subject will focus on new research challenges and initiatives
in Big Data. The workshops should provide an informal and vibrant forum
for researchers and industry practitioners to share their research results
and practical development experiences in Big Data research, development and
practice. Workshop topics may be narrow, e.g., Clouding Computing/Grid
Computing/Stream Computing for Big Data; Big Data stream Mining, Big Graph
Data Mining, or broad, e.g., Big Data Foundations , Big Data management,
Big Data Mining and Searching, Big Data Privacy and Security,
Hardware/OS Acceleration
for Big Data, Big Data Application, etc (Pls refer to the IEEE Big Data
2020 http://bigdataieee.org/BigData2020/index.html for more possible
workshop topics). Prospective workshop organizers are encouraged to contact
workshop chairs for feedback.
*Important Dates*
April 20, 2020 Workshop proposal submission due - submit to:
https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProW
May 1, 2020: Notification to workshop proposers
June 1, 2020: Each workshop organizer sends out Call for Workshops Papers
*Guidelines for Workshop Proposals*
Proposals for 2020 IEEE Big Data Workshops should contain the following
components.
1. Workshop Title (e.g., Visualization and Analytics for Big Data)
2. Introduction to workshop (a few sentences about the background,
importance, purpose, interests, etc. of workshop)
3. Research topics included in the workshop (list a number of interesting
topics or areas covered by workshop)
4. Important dates (These dates are for your reference except the
Camera-ready submission date,
Please do not change the camera-ready date)
*Oct 1, 2020:* Due date for full workshop papers submission
*Nov 1, 2020:* Notification of paper acceptance to authors
*Nov 15, 2020:* Camera-ready of accepted papers
*Dec 10-13 2020:* Workshops
5. Program Chairs or co-chairs: (1-3 experts in the research areas of
workshop)
6. Program Committee Members: (at least 5 experts in the research areas)
7. Invited keynote speakers (optional)
*Workshop Proposal Submission:*
https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProW
*Workshop Co-Chairs*
Prof. Eyhab AI-Masri, University of Washington, USA, ealmasriu(a)gmail.com
Prof. Zhiyuan Chen, University of Maryland at Baltimore County, USA,
zhchen(a)umbc.edu
Prof. Jeff Saltz, Syracuse University, USA, jeffrey.s.saltz(a)gmail.com
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International Conference on Machine learning and Cloud Computing (MLCL 2020)June 20~21, 2020, Dubai, UAEhttps://csita2020.org/mlcl/index.html ScopeInternational Conference on Machine learning and Cloud Computing (MLCL 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):Topics of interest include, but are not limited to, the following* Case Studies and Theories in Cloud Computing* Cloud Application, Infrastructure and Platforms* Cloud Applications in Vertical Industries* Cloud Based, Parallel Processing* Cloud Business* Cloud Computing Architecture* Cloud Storage and File Systems* Consolidation* Data storage and Management in Cloud Computing* Design Tool for Cloud Computing* Energy Management and Programming Environments* Location Based Services, Presence, Availability, and Locality* Machine Learning Applications* Machine Learning in knowledge-intensive systems* Machine Learning Methods and analysis* Machine Learning Problems* Machine Learning Trends* Maintenance and Management of Cloud Computing* Mobile Clouds for New Millennium, Mobile Devices* Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing* NoSQL Data Stores* Performance, SLA Management and Enforcement* Platforms* Resource Provisioning* Security Techniques for the Cloud* Service-Oriented Architecture in Cloud Computing* Social Clouds (Social Networks in the Cloud)* System Integration, Virtual Compute Clusters* The Open Cloud: Cloud Computing and Open Source* Virtualization on Platforms in the CloudPaper SubmissionAuthors are invited to submit papers through the conference Submission System by April 12, 2020. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Important Dates* Submission Deadline : April 12, 2020* Authors Notification : May 20, 2020* Registration & Camera-Ready Paper Due :May 28, 2020Contact us : Here's where you can reach us : mlcl(a)csita2020.org (or) mlclconf(a)yahoo.com
Dear subscribers of computational.science listserv:
We believe that the appended announcement is of interest to the subscribers.
Please share with those who would be interested. Thank you. Rob
---
CALL FOR PAPERS (Topics: HPC, Scientific Computing, Cloud, ...)
Publisher: SPRINGER NATURE
ALL ACCEPTED PAPERS WILL BE PUBLISHED BY SPRINGER NATURE in BOOK SERIES:
Transactions on Computational Science & Computational Intelligence
https://www.springer.com/series/11769
Paper Submission Deadline (EXTENDED): April 25, 2020
All accepted papers will be published by Springer Nature in book series:
Transactions on Computational Science & Computational Intelligence.
The books will be widely disseminated (to over 1,000 libraries and to
1,000's of individuals). It should be noted that publication of papers
in research books would permit each paper to be quite comprehensive (if
need be) and so the publication value would be comparable to journal
publications; and so would be listed as such in the list of research
contribution. Our set of previous published books by Springer received
the top 25% downloads in their respective topics with many papers
receiving over 100 citations (some received over 700 citations).
PDPTA 2020: The 26th International Conference on Parallel & Distributed
Processing Techniques & Applications
https://americancse.org/events/csce2020/conferences/pdpta20
CSC 2020: The 18th International Conference on Scientific Computing
https://americancse.org/events/csce2020/conferences/csc20
MSV 2020: The 17th International Conference on Modeling, Simulation
and Visualization Methods
https://americancse.org/events/csce2020/conferences/msv20
GCC 2020: The 16th International Conference on Grid, Cloud, and
Cluster Computing
https://americancse.org/events/csce2020/conferences/gcc20
Co-Located: July 27-30, 2020, Luxor (MGM), Las Vegas, USA
In case of hesitation by some authors/speakers to travel during Year 2020
(due to Coronavirus), the CSCE Steering Committee has developed a policy
for Non-Attendance. In summary, for Year 2020, the non-attendance by any
registered author would not negatively impact the publication of his/her
paper. Having said the above, based on a survey conducted recently, we
anticipate that all (or the vast majority) of speakers/authors to
physically attend the CSCE 2020 Congress in late July.
For more information see: the NON-ATTENDANCE POLICY:
https://americancse.org/events/csce2020/non_attendance_policy
KEYNOTE LECTURES AND TUTORIALS:
There will be between 10 and 15 Keynote lectures and Invited Talks;
speakers include world-renowned scientists and educators. Featured
Keynote Speakers in recent years have included:
- Prof. David A. Patterson (pioneer, architecture, UC Berkeley)
- Prof. Ian Foster (known as Father of Grid Computing; U. of Chicago & ANL)
- Prof. John Koza (known as Father of Genetic Programming; Stanford U.)
- Prof. Barry Vercoe (Founding member of MIT Media Lab, MIT)
- Dr. K. Eric Drexler (known as Father of Nanotechnology)
- Dr. Jose L. Munoz (NSF Program Director and CTO of NSF Office of
Cyber-infrastructure)
- Prof. Michael J. Flynn (Stanford U.; known for Flynn's taxonomy)
- Dr. Firouz Naderi (former Head of NASA Mars Exploration Program;
former Administrator and/or Director of Jet Propulsion Lab,
CalTech/NASA; NASA's JPL Solar System Exploration
- Prof. Ruzena Bajcsy (pioneer, VR, UC Berkeley)
- Prof. Viktor K. Prasanna (pioneer, U. of Southern California)
- Prof. David Lorge Parnas (pioneer of software engineering)
- Prof. Eugene H. Spafford (Executive Director, CERIAS and Professor,
Purdue University)
- Prof. Haym Hirsh (Dean, Cornell University & former NSF admin)
- Prof. H. J. Siegel (Abell Endowed Chair Distinguished Professor of ECE
and Professor of CS; Director, CSU Information Science and Technology
Center (ISTeC), Colorado State University, Colorado, USA)
- Prof. Amit Sheth (LexisNexis Eminent Scholar; Founder/Executive Director,
Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis))
- Prof. John H. Holland (known as Father of Genetic Algorithms;
U. of Michigan)
- Prof. Lotfi A. Zadeh (Father of Fuzzy Logic, UC Berkeley)
- Dr. Leonid I. Perlovsky (Harvard University and CEO LP Information Tech)
- Dr. James A. Crowder (Chief Engineer, Raytheon Intelligence)
- Prof. Diego Galar (Director & Pro-Vice-Chancellor, Lulea University of
Technology, Sweden)
- and over 200 other distinguished speakers.
The Congress is among the top five largest international annual
gathering of researchers in computer science, computer engineering and
applied computing. We anticipate to have attendees from about 75
countries and territories. To get a feeling about the conferences'
atmosphere, see some delegates photos available at (over 2,000 photos):
https://photos.ucmss.com/https://americancse.org/photo-gallery/index-html
INTRODUCTION:
In order to leverage synergy between various CS & CE fields, the
program committees of PDPTA, CSC, MSV, GCC conferences have their
2020 events held at one venue (same location and dates). This joint
research event is composed of a number of tracks (joint-conferences,
tutorials, sessions, workshops, poster and panel discussions); all
will be held simultaneously, same location and dates: July 27-30,
2020. For the complete list of joint conferences, refer to:
https://www.americancse.org/events/csce2020
We anticipate having between 1,000 and 2,000 participants in the
Congress. The congress includes 20 major tracks
( https://www.americancse.org/events/csce2020 ) composed of: 122
technical, research, and panel sessions as well as a number of
keynote lectures and tutorials; all will be held simultaneously,
same location and dates: July 27-30, 2020. Last year, the Congress
had attracted speakers/authors and participants affiliated with over
158 different universities (including many from the top 50 ranked
institutions), major IT corporations (including: Microsoft, Google,
Apple, SAP, Facebook, Oracle, Amazon, Yahoo, Samsung, IBM, Ebay, GE,
Siemens, Philips, Ericsson, BAE Systems, Hitachi, NTT, Twitter, Uber
Technologies, ...), major corporations (including: Exxon Mobil,
Johnson & Johnson, JPMorgan Chase, PetroChina, GlaxoSmithKline, HSBC,
Airbus, Boeing, Hyundai, Goldman Sachs, Deutsche Bank, ...), government
research agencies (NSF, NIH, DoE, US Air Force, NSA National Security
Agency, Central Intelligence Agency, ...), US national laboratories
(including, NASA National Aeronautics and Space Administration, ANL
Argonne National Lab, Sandia National Lab, ORNL Oak Ridge National Lab,
Lawrence Berkeley National Lab, Lawrence Livermore National Lab,
Los Alamos National Lab, Pacific Northwest National Lab, ...), and a
number of Venture Capitalists as well as distinguished speakers
discussing Intellectual Property issues. Last year, 54% of attendees
were from academia, 25% from industry; 20% from government and funding
agencies; and 1% unknown. About half of the attendees were from outside
USA; from 69 nations.
SUBMISSION OF PAPERS: https://american-cse.org/
Publisher: Springer Nature - Book Series:
Transactions on Computational Science & Computational Intelligence
Book Title: Advances in Parallel & Distributed Processing, & Applications
Indexation: Subject to Springer science indexation which includes:
online Springer Link (link.springer.com/), Scopus
(www.info.scopus.com), SCI Compendex, EI Compendex (www.ei.org),
EMBASE, Web of Science, Inspec, ACM digital library, Google
Scholar, EBSCO, and others.
Prospective authors are invited to submit their papers by uploading
them to the evaluation web site at: https://american-cse.org/
Submissions must be uploaded by the due date (see IMPORTANT DATES) and
must be in either MS doc or pdf formats (maximum of 10 pages for Regular
Research Papers; maximum of 6 pages for Short Research Papers; and
maximum of 3 pages for Extended Abstract/Poster Papers - the number of
pages includes all figures, tables, and references). ALL REASONABLE
TYPESETTING FORMATS ARE ACCEPTABLE (many authors use Springer's
one-column style format for their submissions or IEEE style format:
later, the authors of accepted papers will be asked to follow a
particular typesetting format to prepare their final papers for
publication). Papers must not have been previously published or currently
submitted for publication elsewhere.
The first page of the paper should include the followings:
- Title of the paper
- Name, affiliation, postal address, and email address of each
author (identify the name of the Contact Author)
- Abstract (between 100 and 120 words)
- A maximum of 5 topical keywords that would best represent the
work described in the paper
- Write the type of the submission as "Regular Research Paper",
"Short Research Paper", or "Extended Abstract/Poster Paper".
- The actual text of the paper can start from the first page
(space permitting).
Submissions are to be uploaded to the submission/evaluation web site
portal at https://american-cse.org/
Type of Submissions/Papers:
- Full/Regular Research Papers (maximum of 10 pages):
Regular Research Papers should provide detail original research
contributions. They must report new research results that
represent a contribution to the field; sufficient details and
support for the results and conclusions should also be provided.
The work presented in regular papers are expected to be at a
stage of maturity that with some additional work can be published
as journal papers.
- Short Research Papers (maximum of 6 pages):
Short Research Papers report on ongoing research projects. They
should provide overall research methodologies with some results.
The work presented in short papers are expected to be at a stage
of maturity that with some additional work can be published as
regular papers.
- Extended Abstract/Poster Papers (maximum of 3 pages):
Poster papers report on ongoing research projects that are still
in their infancy (i.e., at very early stages). Such papers tend
to provide research methodologies without yet concrete results.
Each paper will be peer-reviewed by two experts in the field for
originality, significance, clarity, impact, and soundness. In cases
of contradictory recommendations, a member of the conference program
committee would be charged to make the final decision (accept/reject);
often, this would involve seeking help from additional referees.
Papers whose authors include a member of the conference program
committee will be evaluated using the double-blinded review process.
(Essay/philosophical papers will not be refereed but may be considered
for discussion/panels).
IMPORTANT DATES:
April 25: 2020: Submission of papers: https://american-cse.org/
- Full/Regular Research Papers (maximum of 10 pages);
- Short Research Papers (maximum of 6 pages);
- Abstract/Poster Papers (maximum of 3 pages)
May 08, 2020: Notification of acceptance (+/- two days)
May 22, 2020: Final papers + Copyright + Registration
July 27-30, 2020: PDPTA 2020: The 26th International Conference on
Parallel & Distributed Processing Techniques
and Applications +
CSC 2020: The 18th International Conference on Scientific
Computing +
MSV 2020: The 17th International Conference on Modeling,
Simulation & Visualization Methods +
GCC 2020: The 16th International Conference on Grid, Cloud,
and Cluster Computing
https://www.americancse.org/events/csce2020
CONTACT:
Questions and inquiries should be sent to:
Conference Secretariat: cs(a)american-cse.org
GraMSec 2020: The Seventh International Workshop on Graphical Models for
Security
http://gramsec.uni.lu
June 22, 2020 *Online event*
Co-located with CSF 2020
*LNCS post-proceedings confirmed*
SCOPE
The use of graphical security models to represent and analyse the
security of systems has gained an increasing research attention over the
last two decades. Formal methods and computer security researchers, as
well as security professionals from the industry and government, have
proposed various graphical security models, metrics, and measurements.
Graphical models are used to capture different security facets and
address a range of challenges including security assessment, automated
defence, secure services composition, security policy validation, and
verification. The International Workshop on Graphical Models for Security
is an established scientific event dedicated to study and exchange
of experiences on graphical security and safety modelling.
TOPICS
This year, we encourage excellent submissions related, but not
restricted, to the following broad headings:
1. Graph representations: mathematical, conceptual, and implemented
tools for describing and reasoning about security and safety
2. Logical approaches: formal logical tools for representing and
reasoning about graphs and their use as modelling tools in security
3. Machine learning: modelling and reasoning about the role of big data
and machine learning in security operations
4. Networks in national security: terrorist networks, counter-terrorism
networks; safety in national infrastructure (e.g., utilities and
transportation)
5. Risk analysis and management: models and graphical methodologies for
security and privacy risk management in business and organisational
architectures
6. Social networks: using and reasoning about social graphs, network
analysis, network protocols, social mapping, sociometry.
7. Semantics: developing or studying semantic approaches to graph-based
models used in security like set theoretic models, categorical models,
logical models, etc.
8. Threat modelling: modelling and analysing software systems security,
models for DevSecOps, etc.
9. Security requirements: models and tools for describing and analysing
requirements on system security and privacy.
10. Visual security: modelling and analytics for security visualisations.
11. Secure systems: safe and secure system design, quantification of
security/safety, models for system security/safety evaluation.
We welcome a broad range of contributions: from theory to tools and
experience reports. Preference will be given to papers likely to
stimulate high-quality debate at the Workshop.
SUBMISSION GUIDELINES
We solicit two types of submissions:
- Regular papers (up to 18 pages, excluding the bibliography and
well-marked appendices) describing original and unpublished work within
the scope of the workshop.
- Short papers (up to 10 pages, excluding the bibliography and
well-marked appendices) describing original and unpublished work in
progress.
The reviewers are not required to read the appendices, so the papers
should be intelligible without them. All submissions must be prepared
using the LNCS style. Each paper will undergo a thorough review process.
Submissions should be made using the GraMSec 2020 EasyChair website:
https://easychair.org/conferences/?conf=gramsec2020.
PUBLICATION
As in previous editions, we the post-proceedings will be published
in the Lecture Notes in Computer Science (LNCS) series,
published by Springer. Proceedings will be published after the
workshop, thus permitting the authors to incorporate feedback.
VENUE
Due to the current coronavirus outbreak, the IEEE CSF Symposium
and its associated workshops, including GraMSec, will be held
online this year. Details about registration and participation will
be soon made available.
IMPORTANT DATES
Given the situation and the fact that the workshop will be held online,
we will keep only one submission deadline.
- Paper submissions due: Friday, April 24, 2020
- Notifications: Friday, May 29, 2020
- Workshop: Monday, June 22, 2020
- Camera ready versions due: Friday, August 7, 2020
PROGRAM CHAIRS
Harley Eades III, Augusta University, United States of America
Olga Gadyatskaya, Leiden Institute of Advanced Computer Science,
Leiden University, The Netherlands
STEERING COMMITTEE
Sushil Jajodia, George Mason University, United States of America
Barbara Fila, INSA Rennes, IRISA, France
Sjouke Mauw, University of Luxembourg, Luxembourg
Christian W. Probst, Unitec, New Zealand
Ketil Stølen, SINTEF Digital and University of Oslo, Norway
PUBLICITY CHAIR
Barbara Fila, INSA Rennes, IRISA, France
WEB CHAIR
Reynaldo Gil Pons, University of Luxembourg, Luxembourg
Hello,
I am Prof. Francesco Lelli (*) and together with Dr. Heidi Toivonen (**) we
are running a multidisciplinary research on human-smart devices interaction.
We are inviting you to take part in a little survey regarding your
relationship with smart devices. In doing this survey, you will be able to
reflect on how you relate to technology, while contributing to a study that
aims to foster a deeper understanding of human interaction with personal smart
devices that are becoming a more and more pervasive element of our everyday
life.
We sincerely appreciate your support and collaboration.
Completing the survey will take you no more than 5 minutes.
Follow this link to the Survey:
Take the Survey
<https://tilburgss.co1.qualtrics.com/jfe/form/SV_8GMjalxLgvKO1ox?Q_DL=cBfRpP…>
Or copy and paste the URL below into your internet browser:
https://tilburgss.co1.qualtrics.com/jfe/form/SV_8GMjalxLgvKO1ox?Q_DL=cBfRpP…
You are also welcome to forward this invitation to anybody you think may be
interested in participating in this research.
Obviously, you are very welcome to contact us if you have any questions by
replying to this email. In addition, if you have done work that you believe is
relevant for this research, please get in touch. We look forward to learning
from you!
All the Best,
Francesco Lelli and Heidi Toivonen
(*) Doing research on Internet of Things and Information Management, more
info at:https://francescolelli.info/ <https://francescolelli.info/ >
(**) Doing research on agency in the field of Psychology, more info at
http://www.heiditoivonen.com/ <http://www.heiditoivonen.com/>
--
--
--
===================================================
Dr. Francesco Lelli
Tilburg School of Economics and Management
Department of Management
Web: https://www.francescolelli.info/
<https://www.francescolelli.info/?utm_source=signature&utm_medium=email&utm_…>
eMail: f.lelli(a)TilburgUniversity.edu <mailto:f.lelli@TilburgUniversity.edu>
===================================================
The contents of this e-mail and its attachments ("message") are confidential
and may be subject to legal privilege. The contents may not be disclosed,
copied or distributed without the prior written consent of the sender
Follow the link to opt out of future emails:
Click here to unsubscribe
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[apologies for cross-posting]
PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020)
================================================
Arezzo, Italy, Sep. 23-25, 2020
http://unescoprivacychair.urv.cat/psd2020
Submission deadline: **MAY 24, 2020**
1. AIMS AND GOAL
-----------------
Privacy in statistical databases is about finding trade-offs to the
tension between the increasing societal and economical demand for
accurate information and the legal and ethical obligation to protect
the privacy of individuals and enterprises which are the respondents
providing the statistical data. In the case of statistical databases,
the motivation for respondent privacy is one of survival: statistical
agencies or survey institutes cannot expect to collect accurate
information from individual or corporate respondents unless these feel
the privacy of their responses is guaranteed.
Beyond respondent privacy, there are two additional privacy dimensions
to be considered: privacy for the data owners (organizations owning or
gathering the data, who would not like to share the data they have
collected at great expense) and privacy for the users (those who
submit queries to the database and would like their analyses to stay
private).
"Privacy in Statistical Databases 2020" (PSD 2020) is a conference
sponsored and organized by the UNESCO Chair in Data Privacy
(http://unescoprivacychair.urv.cat) with proceedings published by
Springer-Verlag in Lecture Notes in Computer Science. The purpose of
PSD 2020 is to attract world-wide, high-level research in statistical
database privacy.
PSD 2020 is a successor to
- PSD 2018 (Valencia, Sep. 26-28, 2018,
https://unescoprivacychair.urv.cat/psd2018/),
- PSD 2016 (Dubrovnik, Sep. 14-16, 2016,
https://unescoprivacychair.urv.cat/psd2016/),
- PSD 2014 (Eivissa, Sep. 17-19, 2014,
http://unescoprivacychair.urv.cat/psd2014/),
- PSD 2012 (Palermo, Sep. 26-28, 2012,
http://unescoprivacychair.urv.cat/psd2012),
- PSD 2010 (Corfu, Sep. 22-24, 2010,
http://unescoprivacychair.urv.cat/psd2010),
- PSD 2008 (Istanbul, Sep. 24-26, 2008,
http://unescoprivacychair.urv.cat/psd2008),
- PSD 2006 (Rome, Dec. 13-15, 2006,
http://crises-deim.urv.cat/psd2006)
and PSD 2004 (Barcelona, June 9-11, 2004,
http://crises-deim.urv.cat/psd2004),
all with proceedings published by Springer in LNCS 11126, LNCS 9867,
LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050,
respectively. Those nine PSD conferences follow a tradition of
high-quality technical conferences on SDC which started with
"Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with
proceedings published by OPOCE, and continued with the AMRADS project
SDC Workshop, held in Luxemburg in 2001 and with proceedings published
in Springer LNCS 2316.
Like the aforementioned preceding conferences, PSD 2020 originates in
Europe, but wishes to stay a worldwide event in database privacy and
SDC. Thus, contributions and attendees from overseas are welcome.
2. ORGANIZATION
---------------
PROGRAM COMMITTEE (More members to be confirmed soon)
- Jane Bambauer (University of Arizona, USA)
- Bettina Berendt (Katholieke Universiteit Leuven, Belgium)
- Elisa Bertino (CERIAS, Purdue University, USA)
- Aleksandra Bujnowska (EUROSTAT, European Union)
- Jordi Castro (Universitat PolitËcnica de Catalunya)
- Anne-Sophie Charest (UniversitÈ Laval, QuÈbec, Canada)
- Chris Clifton (Purdue University, USA)
- Graham Cormode (University of Warwick, UK)
- Peter-Paul de Wolf (Statistics Netherlands)
- Josep Domingo (Universitat Rovira i Virgili, Catalonia)
- Joerg Drechsler (IAB, Germany)
- Khaled El Emam (University of Ottawa, Canada)
- Mark Elliot (Manchester University, UK)
- SÈbastien Gambs (UniversitÈ du QuÈbec ‡ MontrÈal)
- Sarah Giessing (Destatis, Germany)
- Hiroaki Kikuchi (Meiji University, Japan)
- Bradley Malin (Vanderbilt University, USA)
- Laura McKenna (Census Bureau, USA)
- Anna Monreale (Universit‡ di Pisa, Italy)
- Krish Muralidhar (The University of Oklahoma, USA)
- Anna Oganyan (National Center for Health Statistics, USA)
- David Rebollo (Universitat Rovira i Virgili, Catalonia)
- Jerry Reiter (Duke University, USA)
- Yosef Rinott (Hebrew University, Israel)
- Steven Ruggles (University of Minnesota, USA)
- Nicolas Ruiz (OECD, European Union)
- Pierangela Samarati (University of Milan, Italy)
- David S·nchez (Universitat Rovira i Virgili, Catalonia)
- Eric Schulte-Nordholt (Statistics Netherlands)
- Natalie Shlomo (University of Manchester, UK)
- Aleksandra Slavkovic (Penn State University, USA)
- Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia)
- Tamir Tassa (The Open University, Israel)
- Vicenc Torra (National University of Ireland-Maynooth, Ireland)
- Lars Vilhuber (Cornell University, USA)
PROGRAM CHAIR
- Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira
i Virgili, Catalonia)
GENERAL CHAIR
- Krishnamurty Muralidhar (The University of Oklahoma, USA)
ORGANIZATION COMMITTEE
- Joaquin Garcia-Alfaro (Telecom SudParis, France)
- Giulia Lombardi (The University of Oklahoma, Italy)
- Jesus Manjon (Universitat Rovira i Virgili, Catalonia)
- Romina Russo (Universitat Rovira i Virgili, Catalonia)
3. TOPICS OF INTEREST
---------------------
Topics of interest include but are not limited to:
- New anonymization methods for tabular data
- New anonymization methods for microdata (including non-conventional
microdata types such as trajectories, graphs, etc.)
- Best anonymization practices for tabular data
- Best anonymization practices for microdata
- Co-utility for privacy preservation
- Big data anonymization
- Streaming data anonymization
- Decentralized anonymization
- Balancing data quality and data confidentiality in SDC
- Differential privacy and other privacy models
- SDC transparency issues
- Onsite access centers
- Remote access facilities
- SDC software
- Estimating disclosure risk in SDC
- Record linkage methods
- Real-life disclosure scenarios in EU-member states and abroad
- Privacy preserving data mining (both cryptographic and non-cryptographic)
- Private information retrieval
- Privacy in web-based e-commerce
- Privacy in healthcare
- Privacy in official and corporate statistics
- Other data anonymization issues
4. SUBMISSIONS
--------------
Full papers containing either original technical contributions or
high-quality surveys on the above topics or on related topics are
sought.
Camera-ready versions of accepted papers should be prepared using the
LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in
ComputerScience. For LaTeX2e, a macro package llncs.zip and an example
file typeinst.zip can be downloaded from
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu….
For Microsoft Word, a template word.zip can be downloaded from the
same page above.
We encourage authors to use the above formats already for their
submissions.
LENGTH OF SUBMISSIONS.
Using the above format with 11 point font, the paper should be at most
12 pages excluding bibliography and appendices, and at most 16 pages
total. Committee members are not required to read appendices; the
paper should be intelligible without them. Submissions not meeting
these guidelines risk rejection without consideration of their merits.
5. PROCEEDINGS
--------------
Among PSD 2020 accepted papers, a selection will be made based on
quality and coverage and the selected papers will be published in the
Lecture Notes in Computer Science (LNCS) series by Springer. This
follows the tradition of the previous PSD conferences.
The remaining accepted papers will be published in a USB with an ISBN.
It is possible to submit a paper directly for the USB, which benefits
from a later submission deadline (see USB-only dates below).
The form of publication of an accepted paper will be clearly specified
in the acceptance message. Both the LNCS volume and the CD will be
*available at the conference*.
6. IMPORTANT DATES
------------------
Submission deadline: **MAY 24, 2020**
Acceptance notification: June 26, 2020
Proceedings version due: July 5, 2020
USB-only submission deadline: July 5, 2020
USB-only acceptance notification: July 15, 2020
USB-only proceedings version due: July 22, 2020
Conference: Sep. 23-25, 2020
7. VENUE AND TRAVEL
-------------------
The conference will take place at the San Francesco classroom annex of
the 'Oklahoma University in Arezzo' facilities, located in the city of
Arezzo.
OU in Arezzo. San Francesco Classroom annex
Piazza San Francesco, 18
Arezzo, Italy 52100
http://www.ou.edu/cis/education_abroad/programs/ou-in-arezzo
Further venue, travel and accommodation information will be posted in
due course at http://unescoprivacychair.urv.cat/psd2020
A number of travel grants are made available by the UNESCO Chair in
Data Privacy, especially for authors and delegates from transition
countries. Information on grants is posted in the conference web site.
8. REGISTRATION
---------------
Registration information will be posted no later than June 2020 at
http://unescoprivacychair.urv.cat/psd2020
[apologies for cross-posting]
22nd International Conference on Information and
Communications Security (ICICS 2020)
================================================
Copenhagen, Denmark, 24-27 August 2020
http://icics2020.compute.dtu.dk/
Submission deadline:
**3 May 2020 (23:59 AOE - Extended!)**
================================================
The 2020 International Conference on Information and Communications
Security will be the 22nd event in the ICICS conference series, started
in 1997, that brings together individuals involved in multiple
disciplines of Information and Communications Security in order to
foster exchange of ideas. There will be Best Paper and Best Student
Paper awards with cash reward sponsored by Springer. It will be
organized by Technical University of Denmark (DTU).
http://icics2020.compute.dtu.dk/
Program Topics:
Original papers offering novel research contributions on all aspects of
information and communications security are solicited for submission to
ICICS 2019. Areas of interest include, but are not limited to:
Access control
Social networks security, privacy and trust
Key management and key recovery
Software defined networking security
Anonymity
Embedded systems security
Language-based security
Security management
Applied cryptography
Security models, metrics, and policies
Malware and anti-malware
Fraud and cyber-crime
Authentication and authorization
Security and privacy of Big Data
Mobile computing security and privacy
Hardware security
Biometrics security
Security of critical Infrastructures
Network security
Identity access management
Blockchain security and privacy
Trust and reputation systems
Cloud and edge computing security
Trusted and trustworthy computing technologies
Operating systems security
Usable security and privacy
Computer and digital forensics
Insider threat detection
Cyber-physical systems security
Underground economy
Privacy protection
Intellectual property protection
Data and system integrity
Verification of security protocols
Privacy-preserving data mining
Intrusion detection
Database security
Web security
Risk assessment
IoT security and privacy
Distributed systems security
Wireless security
Instructions for Authors:
Authors are invited to submit original papers not previously published
nor submitted in parallel for publication to any other conference,
workshop or journal. All submitted papers must be anonymous, with no
author names, affiliations, acknowledgements, or obvious references.
Submissions should be in English, as a PDF file with all fonts embedded,
in the Springer-Verlag LNCS format (details can be found at:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0), typeset
with 11pt font, and using reasonable spacing and margins. Papers should
not exceed 16 pages in LNCS style including the bibliography, but
excluding well-marked appendices (no more than 18 pages in total). Note
that papers should be intelligible without all appendices, since
committee members are not required to read them. Submitted papers may
risk being rejected directly without consideration of their merits if
they do not follow all the above submission instructions.
Accepted papers will be presented at ICICS 2020 and included in the
conference's post-proceeding published by Springer in its Lecture Notes
in Computer Science series. Please note that at least one author of each
accepted paper should register with full rate to the conference and give
a presentation at the conference. Failure to register or absence from
the presentation will eventually make your paper NOT being included in
the conference proceedings.
Organization:
General Chairs
- Christian D. Jensen, Technical University of Denmark, Denmark
- Jianying Zhou, Singapore University of Technology and Design, Singapore
Program Chairs
- Dieter Gollmann, Hamburg University of Technology, Germany
- Weizhi Meng, Technical University of Denmark, Denmark
If there is any question, please contact us at: icics2020-1(a)easychair.org.
# SIMPDA 2019
## TENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS
### In conjunction with the 24th European Conference on Advances in Databases and Information Systems – ADBIS 2020 – Lyon, France, August 25, 2020
[http://simpda2020.di.unimi.it](http://simpda2020.di.unimi.it)
[](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/adbis/)
## About SIMPDA
The increasing automation of business processes and the growing amounts of process data become available opens new research opportunities for business process data analysis, mining, and modeling. The aim of the *IFIP W.G. 2.6 International Symposium on Data-Driven Process Discovery and Analysis* is to offer a forum where researchers from different communities and the industry can share their insight in this hot new field.
The Symposium will feature a number of advanced *research papers*, shorter presentations on recent research, a competitive *Ph.D. seminar* and selected research and *industrial demonstrations*. This year the symposium will be held in Bled, in cunjunction with the ADBIS conference.
###Call for Papers
The **IFIP W.G. 2.6** *International Symposium on Data-Driven Process Discovery and Analysis* **(SIMPDA 2020)** offers a unique opportunity to present new approaches and research results to researchers and practitioners working in business process data modelling, representation, and privacy-aware analysis.
The symposium will bring together leading researchers, engineers, and scientists from around the world. Full papers must not exceed 12 pages. Short papers are limited to at most 6 pages. All papers must be original contributions, not previously published or under review for publication elsewhere. All contributions must be written in English and must follow the **CCIS template** and **Springer** paper preparation rules, see: [https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu….
### Call for post-Proceedings
The authors of the accepted papers will be invited to submit extended articles to a post-symposium proceedings volume which will be published in the **LNBIP series** [Lecture Notes in Business Information Processing](http://www.springer.com/series/7911), scheduled for late 2020 (extended papers length will be between 7000 and 9000 words). Around 5-8 papers will be selected for publication after a second round of review.
### Topics
Topics of interest for submission include, but are not limited to:
* Business process modeling languages, notations, and methods
* Lightweight process model
* Data-aware and data-centric approaches
* Big Data process representation and management
* Online Process Mining
* Process mining with Big Data
* Variability and configuration of process models
* Process simulation and static analyses
* Process data query languages
* Process data mining
* Process data visualization and reporting
* Privacy-aware process data mining
* Process metadata and semantic reasoning
* Process patterns and standards
* Foundations of business process models
* Resource management in business process execution
* Process tracing and monitoring
* Process change management and evolution
* Business process lifecycle
* Case studies and experience
* Social process discovery
* Crowdsourced process definition and discovery
<!--
### Workshop Format:
In accordance to our historical tradition of proposing SIMPDA as a **symposium**, we propose an innovative format for this workshop:
The number of sessions depend on the number of submissions but, considering the previous editions, we envisage to have four sessions, with 4-5 related papers assigned to each session. A special session (with a specific review process) will be dedicated to discuss research plan from Ph.D. students.
Papers are *pre-circulated to the authors* that will be expected to read all papers in advance but to avoid exceptional overhead, two are assigned to be prepared with particular care, making ready comments and suggestions.
The bulk of the time during each session will be dedicated to *open conversations* about all of the papers in a given session, along with any linkages to the papers and discussions within an earlier session.
The closing session (30 minutes), will include a panel about open challenges during which every participant will be asked to assemble their thoughts/project ideas/goals/etc… that they got out of the workshop.-->
### Call for Ph.D. Research Plans
The SIMPDA Ph.D. Seminar is a workshop for **Ph.D. students** from all over the world. The goal of the Seminar is to help students with their thesis and research plans by providing feedback and general advice on how to use their research results.
Students interested in participating in the Seminar should submit an extended abstract describing their research. Submissions can relate to any aspect of Process Data: technical advances, usage and impact studies, policy analyses, social and institutional implications, theoretical contributions, interaction and design advances, innovative applications, and social implications.
**Research plans** should be at most of 6 page long and should be organised following the following structure:
* Abstract: summarises, in 5 line, the research aims and significance.
* Research Question: defines what will be accomplished by eliciting the relevant the research questions.
* Background: defines the background knowledge providing the 5 most relevant references (papers or books).
* Significance: explains the relevance of the general topic and of the specific contribution.
* Research design and methods: describes and motivates the method adopted focusing on: assumptions, solutions, data sources, validation of results, limitations of the approach.
* Research stage: describes what the student has done so far.
### SIMPDA Ph.D. award
A doctoral award will be given by the SIMPDA Ph.D. Jury to the best research plan submitted.
### CALL for Demonstrations
Demonstrations showcase innovative technology and applications, allowing for sharing research work directly with colleagues in a high-visibility setting. Demonstration proposals should consist of a title, an extended abstract, and contact information for the authors, and should not exceed 12 pages.
### Submission Guidelines
Contributions to all calls should be submitted electronically to the Symposium management system connecting to [http://www.easychair.org/conferences/?conf=simpda2020](http://www.easychair…. At least one author of each accepted paper is expected to participate in the conference and present his/her work.
The papers submitted must be sent in PDF, following CCIS template and Springer paper preparation rules, see: [https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…
>
> **Registrations** are managed by the [ADBIS system](http://eric.univ-lyon2.fr/adbis-tpdl-eda-2020/registration/)
>
### Important Dates
| Milestone | Deadline|
| ------ | ------ |
| Paper Submission| April 30, 2020|
| Notification of Acceptance| May 05, 2020|
| Submission of Camera Ready Papers| June 05 2020|
| Symposium| August 25 2020|
| Post-proceeding submissions| 30 January 2021|
## Organizers
### CHAIRS
* Paolo Ceravolo, Università degli Studi di Milano, Italy
* Maurice van Keulen, University of Twente, The Netherlands
* Maria Teresa Gomez Lopez, University of Seville, Spain
### Program Committee
- Alexandra Mazak - University of Vienna, Austria
- Robert Singer - FH JOANNEUM, Austria
- Manfred Reichert - University of Ulm, Germany
- Schahram Dustdar - Vienna University of Technology, Austria
- Helen Balinsky - Hewlett-Packard Laboratories, UK
- Valentina Emilia Balas - University of Arad, Romania
- Antonio Mana Gomez - Universidad de Malaga, Spain
- Karima Boudaoud - Ecole Polytechnique de Nice Sophia Antipolis, France
- Jan Mendling - Vienna University of Economics and Business, Austria
- Peter Spyns - Flemish Government, Belgium
- Mohamed Mosbah - University of Bordeaux
- Chintan Mrit - University of Twente, The Netherlands
- Fabrizio Maria Maggi - University of Tartu, Estonia
- Pnina Soffer - University of Haifa, Israel
- Matthias Weidlich - Imperial College, UK
- Roland Rieke - Fraunhofer SIT, Germany
- Edgar Weippl - TU Vienna, Austria
- Benoit Depaire - University of Hasselt, Belgium
- Angel Jesus - Varela University of Seville, Spain
- Luisa Parody - University Loyola Andalucia, Spain
- Antonia Azzini - Consorzio C2T, Italy
- Jorge Cardoso - University of Coimbra, Spain
- Carlos Fernandez-Llatas - Universitat Politecnica de Valencia, Spain
- Chiara Di Francescomarino - Fondazione Bruno Kessler, Italy
- Faiza Bukhsh - University of Twente, The Netherlands
- Mirjana Pejić Bach - University of Zagreb, Croatia
- Tamara Quaranta - 40Labs, Italy
- Anna Wilbik - Eindhoven University of Technology, The Netherlands
- Yingqian Zhang - Eindhoven University of Technology, The Netherlands
- Richard Chbeir - Univ. Pau & Pays Adour, France
- Renata Medeiros - Eindhoven University of Technology, The Netherlands
We have a fully-funded three-year PhD position in formal methods for
information security. This is a joint doctorate (cotutelle) between
IRISA (Rennes, France) and Heriot-Watt University (Edinburgh, Scotland).
The student will obtain a PhD degree from both universities.
For more details, see
http://people.irisa.fr/Barbara.Kordy/vacancies.php
The deadline for applications is Friday, May 15, 2020, but applications
will be considered until the position is filled.
For all inquiries please contact
Barbara Fila (barbara.fila(a)irisa.fr) and
Saša Radomirović (sasa.radomirovic(a)hw.ac.uk)
With kind regards,
Barbara
----------------------
http://people.irisa.fr/Barbara.Kordy/
[Apologies for Multiple Emails]
Please consider submitting your manuscript to the special issue of "Modeling and Analysis of Data-Driven Systems through Computational Neuroscience" with Hindawi's Computational Intelligence and Neuroscience.
Theme of this special issue:
Artificial intelligence(AI)based application systems are becoming the mainstream in the software industry and application domains such as computational neuroscience, bioinformatics, and healthcare. Recent advances in big data generation and management have created an avenue for decision makers to utilize these huge volumes of data for different purposes and analyses. AI-based application developers have long utilized conventional machine learning techniques to design better user interfaces and vulnerability predictions. However, with the advancement of deep learning-based and neural-based networks and algorithms, researchers are able to explore and learn more about data and their exposed relationships or hidden features. This new trend of developing data-driven application systems seeks the adaptation of computational neural network algorithms and techniques in many application domains, including software systems, cyber security, human activity recognition, and behavioral modeling. As such, computational neural networks algorithms can be refined to address problems in data-driven applications.
This Special Issue aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behavior of applications. Original research and review articles that consider how to model and build data-driven applications using computational neuroscience are encouraged. More specifically, it is of interest to learn how neuron networks can represent data-driven applications and their behaviors in order to extract key features. The Special Issue will enable researchers from academia and industry to share innovative applications and creative solutions to common problems when modeling neural-based applications in computational neuroscience and neuroengineering.
Topics of Interest:
Potential topics include but are not limited to the following:
- Neural programming and coding in data-driven systems using machine and deep learning
- Attention and learning of data-driven systems using neural memory networks
- Neural-based mathematical formulation of information and data using machine and deep learning
- Human perception, cognition, and decision making through neural networks
- Human activity recognition through deep neural modeling
- Modeling and prediction of human behavior using computational neuroscience techniques
- Modeling human-computer interactions through neural networks
- Modeling humanoid intelligent bots and mimicking human behavior using computational neuroscience techniques
For more information regarding this special issue, please visit the following link:
https://www.hindawi.com/journals/cin/si/696425/
Sincerely,
Akbar Namin,
The lead editor of this special issue.