CallforPapers
The 16th International Conference on Mobile Systems and Pervasive Computing, (MobiSPC'19) August 19-21, 2019, Halifax, Canada
http://cs-conferences.acadiau.ca/mobispc-19/
IMPORTANT DATES
- Workshop Proposal Due: February 15, 2019
- Paper Submission Due: April 18, 2019 (Extended)
- Acceptance Notification: May 25, 2019
- Final Manuscript Due: June 25, 2019
About
Mobile Systems and Pervasive Computing (MobiSPC) have evolved into an active area of research and development. This is due to the tremendous advances in a broad spectrum of technologies and topics, including wireless networking, mobile and distributed computing, sensor systems, RFID technology, and the ubiquitous mobile phone. MobiSPC-2019 solicits papers that focus on the theory, systems, practices and challenges of providing users with a successful mobile or wireless experience. This includes how mobile computing changes how people pervasively use their computers, computing resources and applications, as well the systems, services and technologies enabling those applications.
MobiSPC-2019 will provide a leading edge, scholarly forum for researchers, engineers, and students alike to share their state-of-the art research and developmental work in the broad areas of pervasive computing and mobile systems.
Publication
All MobiSPC 2019 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com<http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com<http://www.sciencedirect.com/>), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com<http://www.scopus.com/>) and Engineering Village (Ei) (www.engineeringvillage.com<http://www.engineeringvillage.com/>). This includes EI Compendex (www.ei.org/compendex<http://www.ei.org/compendex>). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. Selected papers will be invited for publication, in the following special issues:
- International Journal of Ambient Intelligence and Humanized Computing (IF: 1.588), by Springer
(http://www.springer.com/engineering/journal/12652)
- International Journal of Computing and Informatics (IF: 0.504)
(http://www.cai.sk/ojs/index.php/cai/index)
- IEEE Intelligent Transportation Systems Magazine (IF: 3.654), by IEEE
(http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645)
MobiSPC 2019 will be held in conjunction with
The 14th International Conference on Future Networks and Communications (FNC'19).
http://cs-conferences.acadiau.ca/fnc-19/
Venue
MobiSPC 2019 is co-organized & co-hosted by Acadia and Dalhousie Universities. MobiSPC 2019 will be held in Halifax, Nova Scotia, Canada. Halifax is located on the east coast of Canada and is approximately 6-hour flight from London, UK and a 2-hour flight from Toronto, Ontario.
Halifax is a vibrant and modern city which is home to multiple academic institutions and where visitors can enjoy a variety of activities and entertainment from whale watching to Jazz festivals to world-class cuisine. Halifax is also home to the Maritime Museum of the Atlantic which contains the world largest collection of Titanic artifacts. Nova Scotia is a picturesque province with many National and Provincial parks, and as stated in the Guinness Book of World Records, has the highest tides in the world.
Conference Tracks
Component-based IoT
Enabling Technologies and Emerging Topics
Internet of Things (IoT)
Mobile Cloud Computing
Mobile Data Management
Mobile Social Networking
Pervasive Computing
Smart Cities and Ubiquitous Climate Change Management
Smart Communities and Ubiquitous Systems
Mobile Systems and Applications
Committees
General Chair
Hossam Hassanein, Queen's University, Canada
Program Chair
Jamal Bentahar, Concordia University, Canada
Elhadi Shakshuki, Acadia University, Canada
Workshops Chair
Stéphane Galland, Université de Technologie de Belfort-Montbéliard, France
Local Chair
Abdelouahed Gherbi, Quebec University, Canada
Ahsan Habib, Dalhousie University, Canada
Israat Haque, Dalhousie University, Canada
Tracks Chairs
Muhammad Adnan, Hasselt University, Belgium
Longbiao Chen, Xiamen University, China
Carmela Comito, National Research Council of Italy, Italy
Danny Hughes, K. U. Leuven, Belgium
Camille Kamga, The City College of New York, USA
Prashant Kumar, University of Surrey, UK
Hamid Mcheick, UQAC, Canada
Yongrui (Louie) Qin, University of Huddersfield, UK
Rahim Rahmani, Stockholm University, Sweden
Michael Sheng, Macquarie University, Australia
Qussai Yaseen, Jordan University of Science and Technology, Jordan
International Journals Chair
Atta Badii, Reading University, UK
Publicity Chairs
Monika Davidekova, Comenius University, Slovak Republic
B. B. Gupta, National Institute of Technology Kurukshetra, India
Advisory Committee
Abdelfettah Belghith, University of Manouba, Tunisia
Flavien Balbo, Ecole Nationale Supérieure des Mines de Saint Etienne, France
Erol Gelenbe, Imperial College, UK
Vincenzo Loia, University of Salerno, Italy
Javier Sanchez Medina, University of Las Palmas de Gran Canaria, Spain
Ralf Steinmetz, Technische Universitaet Darmstadt, Germany
Mohamed Younis, University of Maryland Baltimore County, USA
Technical Program Committee
http://cs-conferences.acadiau.ca/mobispc-19/#programCommittees
—Call for papers: 16th International Colloquium on Theoretical Aspects of
Computing (ICTAC 2019).
http://ictac2019.redcad.org
(Apologies if you have received multiple copies of this call for papers)
We are pleased to invite you to submit papers for the 16th International
Colloquium on Theoretical Aspects of Computing (ICTAC 2019), which will be
held from 30th October to 4th November 2019, in Hammamet, Tunisia.
The aim of the colloquium is to bring together practitioners and
researchers from academia, industry and government to present research
results, and exchange experience, ideas, and solutions for their problems
in theoretical aspects of computing.
ICTAC also aims to promote research cooperation between developing and
industrial countries. The proceedings will be published as a volume of
Springer's LNCS series.
The important dates are:
Abstracts 5 May 2019
Papers 12 May 2019
Notification 21 July 2019
Final version 11 August 2019
Conference 30 October to 4 November 2019
Special issue:
Authors of the best contributions will be invited to submit a revised and
extended version to a special issue, to be published in Elsevier's
Theoretical Computer Science.
Invited Speakers:
Thomas A. Henzinger, Institute of Science and Technology, Austria
Patrick Cousot, Courant Institute of Mathematical Sciences, New York
University, USA
Dominique MÈry, University of Lorraine, France
Topics of interest include, but are not limited to, the following:
Languages and automata
Semantics of programming languages
Logic in computer science
Lambda calculus, type theory and category theory
Domain-specific languages
Theories of concurrency and mobility
Theories of distributed, grid and cloud computing
Models of objects and components
Coordination models
Models of software architectures
Autonomous systems
Timed, hybrid, embedded and cyber-physical systems
Static analysis
Software verification
Software testing
Program generation and transformation
Model checking and automated theorem proving
Interactive theorem proving
Verified software, formalized programming theory
We solicit the following types of papers:
- Regular papers, with original research contributions;
- Short papers, with original work in progress or with proposals of new
ideas and emerging challenges;
- Tool papers, on tools that support formal techniques for software
modeling, system design, and verification.
Submissions must adhere to the LNCS format. Regular papers should not
exceed 18 pages (excluding bibliography of maximum 2 pages).
Short and tool papers should not exceed 10 pages.
Submissions must not have been published or be under consideration for
publication elsewhere.
All submissions will be judged on the basis of originality, contribution to
the field, technical and presentation quality, and relevance to the
conference.
Each paper submission will be reviewed by at least three members of the
Programme Committee.
All contributions to ICTAC 2019 have to be submitted electronically in PDF
format via Easy Chair (https://easychair.org/conferences/?conf=ictac2019)and
have to follow the Springer LNCS paper format.
One author of each accepted paper must attend the conference to present it,
having paid the regular registration fee.
The ICTAC committee will evaluate and select the best paper award winner.
The winner will receive a cash award.
Steering Committee:
Ana Cavalcanti (University of York, UK) (chair)
Martin Leucker (Universit‰t zu L¸beck, DE)
Zhiming Liu (Southwest University, CN)
Tobias Nipkow (Technische Universit‰t M¸nchen, DE)
Augusto Sampaio (Universidade Federal de Pernambuco, BR)
Natarajan Shankar (SRI International, US)
General chairs:
Mohamed Jmaiel, University of Sfax, Tunisia
Walid Gaaloul, Paris-Saclay University, France
Programme chairs:
Robert M. Hierons, University of Sheffield, UK
Mohamed Mosbah, LaBRI, Bordeaux INP, FR
Programme Committee (provisional/draft)
Eric Badouel (IRISA, FR)
Kamel Barkaoui (CEDRIC - CNAM, FR)
FrÈdÈric Blanqui (INRIA, FR)
Eduardo Bonelli (Universidad Nacional de Quilmes, AR)
Ana Cavalcanti (University of York, UK)
Uli Fahrenberg (LIX, FR)
Adrian Francalanza (University of Malta, MT)
Ahmed Hadj Kacem (University of Sfax, TN)
Edward Hermann Haeusler (PontifÌcia Universidade CatÛlica do Rio de
Janeiro, BR)
Ross Horne (Nanyang Technological University, SG)
David Janin (University of Bordeaux, FR)
Jan Kretinsky (Technische Universit‰t M¸nchen, DE)
Martin Leucker (Universit‰t zu L¸beck, DE)
Radu Mardare (Aalborg Universitet, DK)
Dominique MÈry (LORIA, FR)
Mohammadreza Mousavi (University of Leicester, UK)
Tobias Nipkow (Technische Universit‰t M¸nchen, DE)
Maciej PirÛg (Wroclaw University, PL)
Sanjiva Prasad (IIT Delhi, IN)
Riadh Robbana (University of Carthage, TN)
Augusto Sampaio (Universidade Federal de Pernambuco, BR)
Georg Struth (University of Sheffield, UK)
Cong Tian (Xidian University, CN)
Tarmo Uustalu (Reykjavik University, IS / Tallinn University of
Technology, EE)
ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning, Siena -
Tuscany, Italy, July 15-19 - Early Registration: April 15
* Apologies for multiple copies. Please forward to anybody who might be
interested *
ACDL 2019: An Interdisciplinary Course: Big Data, Deep Learning & AI
without Borders
A Unique Experience: Data Science, Machine Learning & AI with the World’s
Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano
https://acdl2019.icas.xyz
acdl(a)icas.xyz
Early registration deadline: April 15
https://acdl2019.icas.xyz/registration/
LECTURERS:
Each Lecturer will hold 3 lessons on a specific topic.
https://acdl2019.icas.xyz/lectures/
Ioannis Antonoglou, Google DeepMind, UK
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Marco Gori, University of Siena, Italy
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Phillip Isola, MIT, USA
Lecture 1: Introduction to Generative Adversarial Networks
Lecture 2: Conditional GANs and Data Prediction
Lecture 3: GANs for Domain Translation
Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA
Lecture 1: Learning in the factory and in the wild: designing robot
systems that learn
Lecture 2: Learning factored transition models for planning in complex
hybrid spaces
Lecture 3: Learning to speed up planning in complex hybrid spaces
Ilias S. Kotsireas, Wilfrid Laurier University, Canada
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Dolores Romero Morales, Copenhagen Business School, Denmark
Lecture 1: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 1)
Lecture 2: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 2)
Lecture 3: Latest advances in enhancing Interpretability in Data Science
via means of Mathematical Optimization (Part 3)
Panos Pardalos, University of Florida, USA
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA
Lecture 1: Introduction to Deep Learning, Neural Networks & Convolutional
Neural Networks Lecture 2: Deep Unsupervised Learning
Lecture 3: Recent Advances and New Challenges for Deep Learning
Lecture 4: Deep Learning for Natural Language Processing/Reading
Comprehension
Josh Tenenbaum, MIT, USA
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Naftali Tishby, Hebrew University, Israel
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA
Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
Lecture 1: Introduction to Automated Machine Learning (AutoML)
Lecture 2: Meta-learning
Lecture 3: AutoML and meta-learning for neural networks
Oriol Vinyals, Google DeepMind, UK
Lecture 1: Graph Neural Networks
Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and
Beyond
Lecture 3: Meta Learning
SCOPE:
The Advanced Course is not a summer school suited only for younger
scholars. Rather, a significant proportion of seasoned investigators are
regularly present among the attendees, often senior faculty at their own
institutions. The balanced audience that we strive to maintain in each
Advanced Course greatly contributes to the development of intense
cross-disciplinary debates among faculty and participants that typically
address the most advanced and emerging areas of each topic.
Each faculty member presents lectures and discusses with the participants
for one entire day. Such long interaction together with the small,
exclusive Course size provides the uncommon opportunity to fully explore
the expertise of each faculty, often through one-to-one mentoring. This is
unparalleled and priceless.
The Certosa di Pontignano provides the perfect setting to a relaxed yet
intense learning atmosphere, with the stunning backdrop of the Tuscan
landscapes. World-class wines and traditional foods will make the Advanced
Course on Data Science and Machine Learning the experience of a lifetime.
CALL FOR POSTER & ORAL PRESENTATIONS:
During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.
https://acdl2019.icas.xyz/registration/
Early registration deadline: April 15
ACDL 2019 Best Poster Award
AIxIA sponsors the ACDL 2019 Best Poster Award with a cash prize of 600
Euro.
VENUE & ACCOMMODATION:
The venue of ACDL 2018 will be The Certosa di Pontignano — Siena
Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info(a)lacertosadipontignano.com
lorenzopasquinuzzi(a)lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
A few Kilometres from Siena, on a hill dominating the town stands the
ancient Certosa di Pontignano, a unique place where nature, history and
hospitality blend together in memorable harmony. Built in the 1300, its
medieval structure remains intact with additions of the following
centuries. The Certosa is centred on its historic cloisters and gardens.
https://acdl2019.icas.xyz/venue/
ACCOMMODATION:
https://acdl2019.icas.xyz/accommodation/
EARLY REGISTRATION: by April 15
https://acdl2019.icas.xyz/registration/
We remind you that ACDL 2018 sold out a long time before the registration
deadline!
Anyone interested in participating in ACDL 2019 should register as soon as
possible!
Similarly for accommodation at the Certosa di Pontignano (the School
Venue), book your full board accommodation at the Certosa as soon as
possible!
All course participants should/must stay at the Certosa di Pontignano.
See you in Tuscany next July!
ACDL 2019 Organizing Committee.
ACDL 2019 Poster:
https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/01/poster-ACDL-20…
acdl(a)icas.xyz
https://acdl2019.icas.xyz
Past Edition - ACDL 2018:
https://acdl2018.icas.xyzhttps://www.facebook.com/groups/204310640474650/https://twitter.com/TaoSciences
* Apologies for multiple copies. Please forward to anybody who might be
interested *
* Please help us distributing in your circles (emails, blogs, and social
networks) the call for participation and call for oral talks/posters for
ACDL 2019. Together we will make ACDL 2019 a great event! *
Special Issue on Advances in Deep Learning for Real-Time Image Reconstruction and Processing ( ADLIR )
Journal of Real-Time Image Processing
The list of possible topics, but are not limited to:
Real-time image and video reconstruction algorithms
Real-time face reconstruction from depth images
New deep learning models for real-time image reconstruction and processing
New objective functions of deep learning for real-time image reconstruction
Real-time MRI and X-ray image processing
Real-time 3D image reconstruction, processing or segmentation
Deep learning and Hybrid models for real-time computational methods
Real-Time deep learning applications for image processing
Survey /review of deep learning in real-time image reconstruction
Submission Guideline:
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at https://www.editorialmanager.com/rtip/default.aspx . We invite the prospective authors to submit their manuscript, via the online submission system in the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR).
Important Dates:
Paper submission due: April 30, 2019
First notification: June 30, 2019
Revision submission due: August 15, 2019
Final decision: October 30, 2019
Publication date: December 2019 (Tentative)
Note: accepted papers are made available online as Online First Articles soon after acceptance.
https://static.springer.com/sgw/documents/1650125/application/pdf/CALL+FOR+…
--
Pourya Shamsolmoali, PhD
Institute of Image Processing & Pattern Recognition
Shanghai Jiao Tong University, Shanghai, China.
Email: pshams(a)sjtu.edu.cn
----------------------- Call for Papers (Deadline
Extended)-----------------------------
The International Conference on Deep Learning and Machine Learning in
Emerging Applications (Deep-ML 2019)
26-28 August 2019, Istanbul, Turkey
http://www.ficloud.org/deep-ml-2019/
-----------------------------------------------------------------------------
Deep learning and machine learning are the state-of-the-art at providing
models, methods, tools and techniques for developing autonomous and
intelligent systems which can revolutionize industrial and commercial
applications in various fields such as online commerce, intelligent
transportation, healthcare and medicine, security, manufacturing,
education, games, and various other industrial applications. Google, for
example, exploits the techniques of deep learning in voice and image
recognition applications, while Amazon uses such techniques in helping
customers in their online purchase decisions.
The International Conference on Deep Learning and Machine Learning in
Emerging Applications (Deep-ML) provides a leading forum for researchers,
developers, practitioners, and professional from public sectors and
industries in order to meet and share latest solutions and ideas in solving
cutting edge problems in modern information society and economy.
The conference comprises a set of tracks that focus on specific challenges
in deep learning and machine learning and their applications in emerging
areas. Topics of interest include, but are not limited to, the
following:
1) Deep and Machine Learning Models and Techniques:
Novel machine and deep learning
Active learning; Incremental learning and online learning
Agent-based learning; Manifold learning
Multi-task learning
Bayesian networks and applications
Case-based reasoning methods
Statistical models and learning
Computational learning; Evolutionary algorithms and learning
Evolutionary neural networks
Fuzzy logic-based learning
Genetic optimization
Clustering, classification and regression
Neural network models and learning
Parallel and distributed learning
Reinforcement learning
Supervised, semi-supervised and unsupervised learning
Tensor Learning
2) Deep and Machine Learning for Big Data Analytics:
Deep/Machine learning based theoretical and computational models
Novel techniques for big data storage and processing
Data analysis, insights and hidden pattern
Data analysis and decision making
Data wrangling, munching and cleaning
Data integration and fusion
Data visualization
Data and information quality, efficiency and scalability
Security threat detection using big data analytics
Visualizing security threats
Enhancing privacy and trust
Data analytics in complex applications – finance, business, healthcare,
engineering, medicine, law, transportation, and telecommunication
3) Deep and Machine Learning for Data Mining and Knowledge:
Data mining in the web and online systems
Multimedia; images and video data mining
Feature extraction and classification
Information retrieval and extraction
Distributed and P2P data search
Sentiment analysis
Mining high velocity data streams
Anomaly detection in streaming data
Mining social media and social networks
Mining sensor and computer networks data
Mining spatial and temporal datasets
Data classification, clustering, and association
Knowledge acquisition and learning
Knowledge representation and reasoning
Knowledge discovery in large datasets
4) Deep and Machine Learning Application Areas:
Bioinformatics and biomedical informatics
Finance, business and retail
Intelligent transportation
Healthcare, medicine and clinical decision support
Computer vision
Human activity recognition
Information retrieval and web search
Cybersecurity
Natural language processing
Recommender systems
Social media and networks
5) Deep and Machine Learning for Computing and Network Platforms:
Network and communication systems
Software defined networks
Wireless and sensor networks
Internet of Things (IoT)
Cloud Computing
Edge and Fog Computing
Paper Submission:
Full papers must be in English and should be between 12 to 14 pages. Short
papers should be limited to 8 pages. Papers must be formatted in Springer's
LNCS format.
Submitted research papers may not overlap with papers that have already
been published or that are simultaneously submitted to a journal or a
conference with proceedings.
Important Dates:
Submission Deadline (Extended): 16 April 2019
Authors Notification: 20 May 2019
Final Manuscript Due: 14 June 2019
ORGANISING COMMITTEE
General Co-Chairs:
Joao Gama, University of Porto, Portugal
Edwin Lughofer, Johannes Kepler University Linz, Austria
Program Co-Chairs:
Irfan Awan, University of Bradford, UK
Hadi Larijani, Glasgow Caledonian University, UK
Local Organising Co-Chairs:
Perin Ünal, Teknopar, Turkey
Sezer Gören, Ugurdag Yeditepe University, Turkey
Tacha Serif, Yeditepe University, Turkey
Publication Chair:
Muhammad Younas, Oxford Brookes University, UK
Journal Special Issue Coordinator:
Lin Guan, Loughborough University, UK
Workshop Coordinator:
Filipe Portela, University of Minho, Portugal
Publicity Chair:
Esra N. Yolaçan, Osman Gazi University, Turkey
----------------------Call for Papers (Deadline
Extended)------------------------------------------------
The 7th International Conference on Future Internet of Things and Cloud
(FiCloud 2019),
IEEE CS- TCI
26-28 August 2019, Istanbul, Turkey
http://www.ficloud.org/2019/
---------------------------------------------------------------------------------------
The Internet of Things (IoT) vision is to provide a dynamic and global
network infrastructure which is characterized by intelligent and self
configuring capabilities. IoT is considered as an integral part of the
future Internet. It is based on interoperable communication protocols in
order to enable the interaction and integration of virtual as well as
physical Things such as computers, smart devices, sensors, cars,
refrigerators, food packages, medicines, etc. Things can be seamlessly
integrated into the information network and interaction can be made through
the provision of intelligent interfaces. In not so distant future, IoT will
be forcing its way into every aspect of our lives and technologies
including smart homes, smart cities, environment and nature, green energy,
food, medicine, automotive, aerospace and aviation, telecommunication, and
so on.
IoT is generally characterized by real world and small Things, limited
capacity, constrained devices and the consequential issues such as less
reliability, security and privacy. Cloud computing on the other hand deals
mainly with virtual world and has unlimited capabilities in terms of
storage and processing power. Thus cloud and IoT are the main complementary
aspects of the future Internet. IoT can benefit from the unlimited
capabilities and resources of cloud computing. Similarly, cloud can benefit
from IoT by extending its scope to deal with real world things in a more
distributed and dynamic manner.
The theme of this conference is to promote the state of the art in
scientific and practical research of the IoT and cloud computing. It
provides a forum for bringing together researchers and practitioners from
academia, industry, and public sector in an effort to present their
research work and share research and development ideas in the area of IoT
and cloud computing.
CONFERENCE TRACKS:
- Cloud Models - SaaS, IaaS, PaaS
- Security, Privacy and Trust
- Software Systems, Models and Architectures
- Mobile Cloud Services
- Data and Knowledge Management
- Context-awareness and Location-awareness
- Software-defined Networking
- Performance Evaluation and Modelling
- Networking and Communication Protocols
- IoT Services and Applications
- Smart Environment
- Enterprise and Business Models
- Energy Efficiency
- Federation and Virtualization
- Fog and Edge Computing
- Industry Track
- General Track
Paper submission and Publication:
Authors are requested to submit papers reporting original research results
and experience. The page limit for full papers is 8 pages and for short
papers is 6 pages. Papers should be prepared using IEEE two-column
template. See instructions on the conference website (
http://www.ficloud.org/2019/).
All papers accepted for this conference are planned to be published in the
conference proceedings by the IEEE Computer Society Conference Publishing
Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the
IEEE Computer Society (CSDL) digital libraries. The proceedings are also
submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and
other indexing services.
Authors of selected papers will be invited to submit extended versions of
their papers for special issues in international journals (see conference
website).
Important Dates:
Submission Deadline Extended (Firm): 16 April 2019
Authors Notification: 20 May 2019
Final Manuscript Due: 14 June 2019
General Chairs:
Vincenzo Piuri, University of Milan, Italy
Irfan Awan, University of Bradford, UK
Program Chairs:
Takahiro Hara, Osaka University, Japan
Muhammad Younas, Oxford Brookes University, UK
Local Organising Chairs:
Perin Unal, Teknopar, Turkey
Sezer Gören Ugurdag, Yeditepe University, Turkey
Tacha Serif, Yeditepe University, Turkey
Workshop Coordinator:
Filipe Portela, University of Minho, Portugal
Journal Special Issues Coordinator:
Lin Guan, Loughborough University, UK
Publicity Chair:
Joyce El Haddad, University of Paris Dauphine, France
Publication Chair:
Barbara Masucci, University of Salerno, Italy
Track Chairs:
Antonio Celesti, University of Messina, Italy
Edmundo Madeira, University of Campinas, Brazil
Helen Karatza, Aristotle University of Thessaloniki, Greece
Joyce El Haddad, University of Paris Dauphine, France
Khaled Aloufe, Taibah University, Saudi Arabia
Luiz Fernando Bittencourt, University of Campinas, Brazil
Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia
Marcin Bajer, ABB Corporate Research Kraków, Poland
Marisa Catalan Cid, i2Cat Foundation, Spain
Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands
Natalia Kryvinska, University of Vienna, Austria
Patience Anitta Namanya, Nettitude Group, UK
Rafael Angarita, INRIA and Isep, Paris, France
Ron Austin, Birmingham City University, UK
R. Venkatesha Prasad, Delft University of Technology, The Netherlands
Tacha Serif, Yeditepe University, Turkey
Tuna Tugcu, Bogaziçi University, Turkey
Vijay S. Rao, Delft University of Technology, The Netherlands
A. S. M. Kayes, La Trobe University, Australia
6th International Synthetic & Systems Biology Summer School - SSBSS 2019
July 22-26, 2019 - Scuola Normale Superiore di Pisa, Tuscany, Italy
https://ssbss2019.icas.xyz
ssbss(a)icas.xyz
DEADLINES:
Application: April 30
Oral Presentation/Poster Submission: April 30
Notification of Decision for Oral/Poster Presentation: May 15, 2019
https://ssbss2019.icas.xyz/registration/
SPEAKERS & TITLES:
https://ssbss2019.icas.xyz/lecturers/
* ADAM ARKIN, University of California, Berkeley, USA
Lecture 1: TBA
Lecture 2: TBA
* ANDREA CALIFANO, Columbia University, USA
Lecture 1: "METHODOLOGIES FOR THE ASSEMBLY AND INTERROGATION OF GENE
REGULATORY NETWORKS"
Lecture 2: "ELUCIDATING AND TARGETING MECHANISMS OF SINGLE CELL STATE
MAINTENANCE"
* JASON CHIN, MRC Laboratory of Molecular Biology, Cambridge, UK
Lecture 1: TBA
Lecture 2: TBA
* VIRGINIA CORNISH, Columbia University, USA
Lecture 1: "Expanding the Synthetic Capabilities of Yeast"
Lecture 2: "Molecular Innovations for Live Cell Imaging"
* JOHN GLASS, J. Craig Venter Institute, USA
Lecture 1: "Design, Construction, and Analysis of a Synthetic Minimal
Bacterial Cell"
Lecture 2: "Building and grand scale engineering of eukaryotic viral
genomes and chromosomes"
* Philip Maini, University of Oxford, UK
Lecture 1: "Modelling Collective Cell Behaviour: Cranial Neural Crest
Migration"
Lecture 2: "Modelling Collective Cell Behaviour: Angiogenesis"
* KAREN POLIZZI, Imperial College London, UK
Lecture 1: "GENETIC CIRCUITS FOR IN VIVO BIOSENSORS: PART 1 BASIC DESIGN
ARCHITECTURES"
Lecture 2: "GENETIC CIRCUITS FOR IN VIVO BIOSENSORS: PART 2 MODULATING
KEY PERFORMANCE CHARACTERISTICS"
* WILLIAM SHIH, Harvard Medical School, USA
Lecture 1: "DNA-ORIGAMI BARRELS"
Lecture 2: "HIFI MOLECULAR TRANSMISSION VIA CRISSCROSS COOPERATIVITY"
* JOERG STELLING, ETH Zurich, Switzerland
Lecture 1: "Systems Analysis and Design under Uncertainty: Incomplete
Knowledge"
Lecture 2: "Systems Analysis and Design under Uncertainty: Cell-to-Cell
Variability"
* SARAH TEICHMANN, Wellcome Trust Sanger Institute & EMBL-EBI, UK
Lecture 1: "Reconstructing Tissue Architecture one cell at a time"
Lecture 2: TBA
* DANIELLE TULLMAN-ERCEK, Northwestern University, USA
Lecture 1: "DESIGNING WITH NANOSCALE BUILDING BLOCKS: ENGINEERING
SELF-ASSEMBLING PROTEIN SUPERSTRUCTURES FOR APPLICATIONS IN VACCINES, DRUG
DELIVERY AND BIOCHEMICAL PRODUCTION"
Lecture 2: "ROBUST PROTEIN PRODUCTION AND SECRETION IN BACTERIA USING THE
TYPE III SECRETION SYSTEM"
* RON WEISS, MIT, USA
Lecture 1: "Synthetic Biology: From Parts to Complex Systems"
Lecture 2: "Mammalian Synthetic Biology: Therapeutic Perspectives"
CALL FOR POSTER & ORAL PRESENTATIONS:
During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.
https://ssbss2019.icas.xyz/registration/
Early registration deadline: April 30
See you in Pisa in July!
The SSBSS 2019 Organizing Committee.
Download and share the SSBSS 2019 Poster:
https://ssbss2019.icas.xyz/wp-content/uploads/sites/8/2019/01/poster-SSBSS-…
ssbss(a)icas.xyz
https://ssbss2019.icas.xyzhttps://www.facebook.com/ssbss.school/
SSBSS - Synthetic & Systems Biology Summer School Group:
https://www.facebook.com/groups/238417586492061/
Computational Synthetic Biology Group:
https://www.facebook.com/groups/1014624245288596/https://twitter.com/TaoSciences
* Apologies for multiple copies. Please forward to anybody who might be
interested *
WPDM 2019
The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
http://sara.unisalento.it/~cafaro/WPDM2019/
CALL FOR PAPERS
The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org
Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019
Final deadline for submissions extended to: April 7, 2019
SCOPE AND OBJECTIVES
The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics.
The WPDM Workshop topics include (but are not limited to) the following:
- Parallel data mining algorithms using MPI and/or OpenMP
- Parallel data mining algorithms targeting GPUs and many-cores accelerators
- Parallel data mining applications exploiting FPGA
- Distributed data mining algorithms
- Benchmarking and performance studies of high-performance data mining applications
- Novel programming paradigms to support high-performance computing for data mining
- Performance models for high-performance data mining applications and middleware
- Programming models, tools, and environments for high-performance computing in data mining
- Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining
INSTRUCTIONS FOR PAPER SUBMISSIONS
You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui…
To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org.
Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form.
CONFERENCE POLICY
By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings.
If you have any questions about paper submission or the workshop, please contact the workshop organisers.
IMPORTANT DATES
April 7, 2019: Deadline for paper submission
April 24, 2019: Notification of Acceptance.
May 8, 2019: Early-bird Registration ends.
May 8, 2019: Submission deadline for the final version of the Papers
July 1-4, 2019: ICCSA 2019 Conference
WORKSHOP ORGANIZERS
Massimo Cafaro
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: massimo.cafaro(a)unisalento.it
Italo Epicoco
University of Salento, Italy
Phone: +39 0832 297235
Fax: +39 0832 297235
Email: italo.epicoco(a)unisalento.it
Marco Pulimeno
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: marco.pulimeno(a)unisalento.it
Giovanni Aloisio
University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy
Phone: +39 334 6501704
Fax: +39 0832 297235
Email: giovanni.aloisio(a)unisalento.it
All submitted papers will be reviewed by the workshop technical program committee members.
International Program Committee:
Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Giuseppe Di Fatta, University of Reading, UK
Ann Gordon-Ross, University of Florida, USA
Kenli Li, Hunan University, China
Donato Malerba, University of Bari, Italy
Barbara Masucci, University of Salerno, Italy
Mitsunori Ogihara, University of Miami, USA
Takahiko Shintani, The University of Electro-Communications , Japan
Domenico Talia, University of Calabria, Italy
Paolo Trunfio, University of Calabria, Italy
Jeffrey D. Ullman, Stanford University, USA
Laurence T. Yang, St Francis Xavier University, Canada
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************************************************************************************
Massimo Cafaro, Ph.D.
Associate Professor
Dept. of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web http://sara.unisalento.it/~cafaro
E-mail massimo.cafaro(a)unisalento.it
cafaro(a)ieee.org
cafaro(a)acm.org
CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro(a)cmcc.it
************************************************************************************
CMMSE 2019
19th Conference on Computational and Mathematical Methods in Science and Engineering
Barceló Costa Ballena Golf & SPA
June 30-July 6, Cadiz, Andalucia, Spain.
http://cmmse.usal.es/cmmse2019/
Call for Presentations and special sessions
CALL FOR PRESENTATIONS:
The 2019 Conference on Mathematical Methods in Science and Engineering Conference (CMMSE-2019), is the fourteen of this conference series. CMMSE2019 aims to be a unifying, cross-cutting, interdisciplinary gathering, where specialists can have exposure to diverse fields and participate in special sessions different from but still close to their own interests.
Standard presentation: 20 minutes in length.
Special Sessions: Minimum of 8 presentations.
Symposiums more than 12 presentations.
Symposiums chairs can act as plenary speakers.
FOR SPECIAL SESSIONS PROPOSALS contact: cmmse(a)usal.es
IMPORTANT DATES:
May 10-- Deadline for submission of Abstracts (3-4 pages) or full papers (12 pages).
May 15 -- Notification of Acceptance
June 1 –- Registration (with podium)
PLEASE RESERVE YOUR HOTEL BEFORE MAY 31th. CANCELLATION IS FREE until 2 days previous to the conference
Special issues selection:
August 1, 2019 -- Deadline for submission (SPECIAL ISSUES).
Sept. 10, 2019-- Special issue final selection.
Proceedings will appear at Computer and Mathematical Methods Journal (Willey). Post conference extended versions can be selected to:
JOURNALS INVOLVED: (all indexed by SCI-ISI)
Computational Chemistry & Mathematical Chemistry
• Journal of Mathematical Chemistry, (Springer)
• Fullerenes, Nanotubes and Carbon Nanostructures (Taylor & Francis).
Computational Mathematics
• Journal of Computational and Applied Mathematics, (Elsevier) (solicited)
• Mathematical Methods in the Applied Sciences , (John Wiley & Sons).
• International Journal of Computer Mathematics, (Taylor & Francis).
Computer Science
• Journal of Supercomputing, (Springer).
2 EXCURSIONS: (Visit 3 countries in one conference)
- Gibraltar and city of Tarifa
- Morocco
ADDITIONAL INFORMATION:
Please check the Conference Web site http://cmmse.usal.es/cmmse2019/ regularly for the most up to date information.
ABOUT CADIZ:
Being one of the ancient cities of Occidental Europe, the Province of Cadiz, which was baptized by the poet Lord Byron as “Ocean Mermaid”, can be highlighted by many things: its beaches, its places, its people...
Inland, its climate with warm temperatures throughout the year and clear skies, harbours a maze of dunes, creeks, salt marshes and beaches of high ecological value, and has been chosen as the scenery of some films like James Bond’s film Die another day or the American film Knight and day. Numerous famous people have been in this city
The coast:
Cadiz, located between the Atlantic Ocean and the Mediterranean Sea, has 260 km of coast which can be enjoyed with its great variety of miles of sandy beaches with fine and white sand and clear blue water. Along the coast you can also appreciate the wildlife features of this area.
Its history is ancient. Tartessos and Phoenicians visited this land more than 3,000 years ago. The Romans and Visigoths also dwelt it and from 711 was a Muslim territory until the second half of the thirteenth century.
The passage of different cultures has left their mark in art and culture as well as in the gastronomy and the Flamenco that you will be able to enjoy.
There are many places of interest and a large number of activities to be enjoyed in Cadiz. However, the beauty of it is that you can make it as active or as relaxing as you wish during your stay!
To find out more about Cadiz and Andalucía have a look in http://www.cadizturismo.com/ and
http://www.andalucia.org/.
You can find interesting this video about Cadiz: https://m.youtube.com/watch?time_continue=322&v=5nScr1_iih8&ebc=ANyPxKq1q4s…
Dear researchers,
Please find below the CFP for the 6th International Symposium on Big Data Principles, Architectures & Applications (BDAA 2019), which will be held as part of the 17th International Conference on High Performance Computing & Simulation (HPCS 2019):
http://hpcs2019.cisedu.info/2-conference/symposia/symp02-bdaa
SCOPE AND OBJECTIVES
The challenge of "Big Data" continues to grow and is an active area of significant research. This track focuses on techniques, experiences, applications, and lessons learned for large-scale/big data science, data intensive, and data analytics, particularly in the realms of high performance computing that lead organizations through major transformations.
The symposium is to address, explore and exchange information on the state-of-the-art and practice in the broad multidisciplinary field of Big Data Science. Participation is extended to researchers, designers, educators and interested parties in all disciplines and specialties.
The symposium aims at providing a forum to bring together researchers and scientists to share and exchange big data related research, technologies, experiences, and lessons for building various types large-scale data intensive and data analytics, with interoperability and coordination capabilities in a high performance and high availability setting.
This symposium solicits contributions that address contemporary and future challenges in big data Science, data analytics, and Data Intensive, particularly in collaboration systems, social networks and media, and information technologies.
BDAA topics include (but are not limited to) the following:
- Theories and Methodologies for Big Data processing
- Architectures, Frameworks and Design of Big Data processing systems
- Distributed data-intensive computing systems
- Managing large-scale big data platforms
- Use of big data technologies for science (Hadoop, NoSQL/NewSQL, etc.)
- Big data simulation, visualization, modeling tools, and algorithms
- Big data intelligence and predictive analysis
- (Analysis of dynamic data, such as those collected through sensors, etc.)
- Discovery, Collection, and Extraction of information in Big Data sources
- Processing of Big Data Streaming
- Big Data Mining and Knowledge Discovery
- Data Analytics techniques and solutions
- Visualization of Big Data and Data Analytics
- Applications using big data (WEB, Bio-Data, Industrial Data, etc.)
- Big data business implications - Data culture
- Experiences, Case Studies and Lessons Learned
PAPER SUBMISSIONS
You are invited to submit original and unpublished research works on above and other topics related to Big Data Principles, Architectures & Applications for High Performance Computing Systems. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be 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), please submit a PDF copy of your full manuscript, not to exceed 4 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.
- Poster papers and Posters (please refer to http://hpcs2019.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 symposium paper submission site at https://easychair.org/conferences/?conf=bdaa2019 . Acknowledgement will be sent within 48 hours of submission.
Conference Policies
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 2019 conference to present the paper at the symposium as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. For more information, please refer to the Authors Info and Registration Info pages.
The symposium policy and professional ethics require that referees treat the contents of papers under review as privileged information not to be disclosed to others before publication. It is expected that no one with access to a manuscript under review will make any inappropriate use of the special knowledge which that access provides.
Proceedings
Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2019 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 reputable 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 organizers.
Best regards
The organizers of BDAA 2019
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Dr.-Ing. Max Hoffmann MBA
Group Leader "Industrial Big Data"
Institute of Information Management in Mechanical Engineering
Faculty for Mechanical Engineering
Cybernetics Lab IMA & IfU
RWTH Aachen University