*We are sorry if you received multiple CFPs for this.*
************************************************************************************************************************************************
Last Call For Papers - IEEE AI Testing 2019
*Important Dates*
Abstract submission:
Dec. 7, 2018
Full paper submission: Dec.
21, 2018 12:00 AOE (firm)
Notification:
Feb. 15, 2019 (firm)
Final Paper and Registration:
Feb. 28, 2019 (firm)
Conference:
Apr 4 - 9, 2019
*http://www.ieeeaitests.com/index.html
<http://www.ieeeaitests.com/index.html>*
The First IEEE International Conference On Artificial Intelligence Testing
(2019 IEEE AITest)
Artificial Intelligence (AI) technologies are widely used in computer
applications to perform tasks such as monitoring, forecasting,
recommending, prediction, and statistical reporting. They are deployed in a
variety of systems including driverless vehicles, robot controlled
warehouses, financial forecasting applications, and security enforcement
and are increasingly integrated with cloud/fog/edge computing, big data
analytics, robotics, Internet-of-Things, mobile computing, smart cities,
smart homes, intelligent healthcare, etc. However, the quality assurance of
existing AI application development processes is still far from
satisfactory and the demand for being able to show demonstrable levels of
confidence in such systems is growing. Software testing is a fundamental,
effective and recognized quality assurance method which has shown its
cost-effectiveness to ensure the reliability of many complex
software-systems. However,the adaptation of software testing to the
peculiarities of AI applications remains largely unexplored and needs
extensive research to be performed. On the other hand, the availability of
AI technologies provides an exciting opportunity to improve existing
software testing processes, and recent years have shown that machine
learning, data mining, knowledge representation, constraint optimization,
planning, scheduling, multi-agent systems, etc. have real potential to
positively impact on software testing. Recent years have seen a rapid
growth of interests in testing AI applications as well as application of AI
techniques to software testing. It is, therefore, timely to provide an
international forum for researchers and practitioners to exchange novel
research results, to articulate the problems and challenges from practices,
to deepen our understanding of the subject area with new theories,
methodologies, techniques, processes models, etc., and to improve the
practices with new tools and resources. This is the aim of the IEEE
conference on AI Testing.
*Topics Of Interest*
The conference invites papers of original research on AI testing and
reports of the best practices in the industry as well as the challenges in
practice and research. Topics of interest include (but are not limited to) the
following:
- Testing AI applications
- Methodologies for testing, verification and validation of AI
applications
- Process models for testing AI applications and quality assurance
activities and procedures
- Quality models of AI applications and quality attributes of AI
applications, such as correctness, reliability, safety,
security, accuracy,
precision, comprehensibility, explainability, etc
- Whole lifecycle of AI applications, including analysis, esign,
development, deployment, operation and evolution
- Techniques for testing AI applications
- Test case design, test data generation, test prioritization, test
reduction, etc
- Metrics and measurements of the adequacy of testing AI applications
- Test oracle for checking the correctness of AI application on test
cases
- Tools and environment for automated and semi-automated software
testing AI applications for various testing activities and management of
testing resources
- Specific concerns of software testing with various specific types of
AI technologies
- Statistical machine learning and data mining
- Symbolic machine learning, decision trees and random forests,
reinforcement learning
- Evolutionary methods and Genetic algorithms
- Multi-agent systems
- Heuristic search algorithms
- Cognitive computing
- Knowledge management, expert systems
- Automatic reasoning and theorem proving
- Constraint Programming and Constraint Optimization
- Metaprogramming, high-order functions, high-order logic
- Programming by example, programming synthesis, etc
- Specific concerns of software testing for various types of AI
applications
- Computer vision and object recognition in image, audio and video
- Personalized recommendation systems, and business intelligence
- Driverless vehicles and autonomous robotics
- Intelligent diagnostic systems
- Decision-making support systems
- Prediction and forecast systems
- Smart cities, smart home, healthcare, and medicine, etc
- Natural language processing, and intelligent human machine
interactions, etc
- Applications of AI techniques to software testing
- Machine learning applications to software testing, such as test case
generation, test effectiveness prediction and optimization, test adequacy
improvement, test cost reduction, etc
- Constraint Programming for test case generation and test suite
reduction
- Constraint Scheduling and Optimization for test case prioritization
and test execution scheduling
- Multi-agent systems for testing and test services
- Crowdsourcing and swarm intelligence in software testing
- Genetic algorithms, search-based techniques and heuristics to
optimization of testing
- Knowledge-based and expert systems for software testing
- Data quality checking for AI applications
- Testing and quality assurance for unstructured training data
- Automatic validation tool for training unstructured data and big data
- Large-scale unstructured data quality certification
Submission
Paper Submission
We primarily invite submission of research papers, that describe original
and significant work, but also papers which reports on case studies and
empirical research. Papers must not be accepted for publication, or be
under submission to another conference or journal. Each paper will be
reviewed by at least three members of the Program Committee, using a
single-blind reviewing procedure. All papers must be submitted
electronically using the EasyChair conference system in PDF format. Each
paper is limited to 8 pages including figures and references using IEEE
Computer Society Proceedings (two columns, single-spaced, 10pt font). At
least one of the authors of any accepted paper would have to register for
the conference and confirm that she/he will present the paper in person.
*We are sorry if you received multiple CFPs for this.*
************************************************************************************************************************************************
Last Call For Papers - IEEE BigDataService 2019
*Important Dates*
Paper Submission Deadline: * Dec. 14, 2019 *
Notification: *Jan. 10,
2019*
Final Paper and Registration: *Jan. 31, 2019*
Conference: * Apr. 4 - 9,
2019*
http://www.big-dataservice.net/index.html
The Fifth IEEE International Conference On Big Data Service And Applications
April 4 – 9, 2019, San Francisco, USA
Big-Data computing and services have received significant attention in
recent years. The IEEE BigDataService 2019 aims to provide a forum for
researchers and practitioners to exchange innovative ideas, latest research
results, and practice experiences and lessons learned. Its major objectives
include big-data applications in various domains such as healthcare,
business and financing, education and learning, social networks and media,
urban and environment, sensors and Internet of things as well as technology
aspects of big data computing and services such as computing services and
architecture, modeling, data mining and analytics. The conference will be
co-located with *IEEE SOSE 2019 <http://www.ieeesose.net/>, IEEE Mobile
Cloud 2019 <http://www.mobile-cloud.net/>, IEEE DAPPCON 2019
<http://www.dappcon.net/> **and** IEEE Artificial IntelligenceTesting 2019
<http://www.ieeeaitests.com/> *
IEEE BigDataService 2019 will consist of main tracks and special tracks.
The conference will include 3 International Workshops of *Smart City Big
Data Analysis*, *Big Data in Water Resources, Environment, and Hydraulic
from Engineering*, and *Industry Big Data and Signal Processing*. Workshop
proposal is due 10/15/2018. The conference seeks the submission of
high-quality papers limited to 10 pages (IEEE format) in length. All
accepted papers will be included in the proceedings. Selected papers will
be invited for extension and published in journals (SCI-Index).
*TOPICS OF INTEREST (INCLUDE BUT NOT LIMITED TO)*
- Big Data Foundations
- Foundational theoretical or computational models for big data
- Programming models, theories, and algorithms for big data
- Standards, protocols, and quality assurance for big data
- Big Data Platforms and Technologies
- Innovative, concurrent, and scalable big data platforms
- Data indexing, cleaning, transformation, and curation technologies
- Big data processing frameworks and technologies
- Big data services and application development methods and tools
- Big data quality evaluation and assurance technologies
- Big data system reliability and availability
- Open-source development and technology for big data
- Big Data as a Service (BDaaS) platform and technologies
- Big Data Analytics and Services
- Algorithms and systems for big data search, analytics and
visualization
- Artificial Intelligence for big data and based on big data
- Visualization analytics for big data
- Knowledge extraction, discovery, analysis, presentation, and
visualization
- Big Data Applications and Experiences
- Innovative big data applications and services in industries and
domains e.g. healthcare, finance, insurance, transportation, agriculture,
education, environment, multi-media, social networks, urban planning,
disaster management, security
- Experiences and case studies of big data applications and services
- Real-world and large-scale practices of big data
- Emerging Topics
- Sensor networks and Internet of Things
- Networking and protocols
- Smart City
*SPECIAL TRACKS*
- Special Track on Real-time Big Data Services and Applications
- Models, algorithms, and technologies for real-time big data
services and applications
- Experiences, practices and case studies of real-time big data
services and applications
- Special Track on Big Data Security, Privacy and Trust
- Models, algorithms and technologies for big data security and
integrity
- Practical security and privacy technologies and applications for
big data
- Special Track on Big Data and analytics for Healthcare
- Models, algorithms, and technologies of big data for healthcare
- Big data services and applications for healthcare
- Experiences, practices and case studies of big data technologies
for healthcare
*Contact Information*
Feel free to contact us for any questions or suggestions.
*Simon Shim:* simon.shim(a)sjsu.edu
*Fanjing Meng:* mengfj(a)cn.ibm.com
***Submission deadline extended to January 15th, 2019***
[Apologies if you receive multiple copies of this message]
******************************************************
Future Generation Computer Systems
Special Issue on Trusted Cloud-Edges (CE) Computations
******************************************************
Current and future service-based software needs to remain focused
towards the development and deployment of large and complex intelligent
and networked information systems, required for internet-based and
intranet-based systems in organizations, as well to move to IoT
integration and big data analytics. Today, service-based software covers
a very wide range of application domains as well as technologies and
research issues. This has recently found realization through the
integration of cloud computing and IoT, forming a revolutionary
paradigm, cloud-assisted Internet of things (CoT), that enables
intelligent and self-con?guring (smart) IoT devices to be connected with
the cloud through the Internet. However, huge volume of data generated
from real-world applications leads to the operation difficulty of CoT
paradigm. More specifically, while billions of connected devices will
generate exabytes of data every day, moving all the data from comparably
resource-constrained IoT devices to the cloud becomes a big challenge.
Hence, the centralized CoT model is undergoing a paradigm shift towards
a decentralized model termed as edge computing, where local and
distributed edge devices such as smartphones, smart gateways, and local
PC with weaker capability than the centralized cloud can offer
cloud-like service for only a limited group of devices. While the
centralized cloud is still inevitable for the heavyweight computation
needs, in this emerging Cloud-Edges (CE) paradigm, the cloud, together
with local edge devices jointly offer services and intelligence. CE
paradigm complements traditional CoT paradigm in terms of high
scalability, low delay, location awareness, and instant local client
computing capabilities. Nonetheless, due to the multiple and even highly
distributed roles in CE paradigm, vital elements in such CE paradigm are
the notions of trust, security, privacy and risk management among the
cloud, edge devices, and end devices.
This special issue solicits submissions from both academia and industry
presenting novel research in the context of trusted Cloud-Edges (CE)
computations, presenting theoretical and practical approaches to cloud,
big data, IoT and edge computing trust, security, privacy and risk
management. This special issue will provide a special focus on the
intersection between cloud paradigm, big data analytics, IoT integration
and edge computing, bringing together experts from the four communities
to discuss on the vital issues of trust, security, privacy and risk
management in cloud computing, shedding the light on novel issues and
requirements in domains of big data, IoT, and edge computing. Potential
contributions could cover new approaches, methodologies, protocols,
tools, or verification and validation techniques. We also welcome review
papers that analyze critically the current status of trust, security,
privacy and risk management in the cloud, big data, IoT, and edge
computing. Papers from practitioners who encounter trust, security,
privacy, and risk management problems, and seek understanding are
finally welcome. Best papers from the 7th International Symposium on
Secure Virtual Infrastructures - Cloud and Trusted Computing
(http://www.otmconferences.org/index.php/conferences/ctc-2018) will be
also invited to submit to the special issue.
The following themes are of particular interest:
- Authentication, auditing and accountability in Cloud-Edges
- Edge computing architectures and solution design patterns
- Edge computing for IoT
- Communication and networking protocols for Cloud-Edges
- Fine-grained access control mechanism in Cloud-Edges
- Privacy-preserving computation in Cloud-Edges
- Trust and reputation issues in Cloud-Edges
- Security architecture for Cloud-Edges
- Key management in Cloud-Edges
- IoT communication in Cloud-Edges
- Data caching for big data in Cloud-Edges
- Big data analytics in Cloud-Edges
- Incentive models or techniques for data processing in Cloud-Edges
- Privacy-Enhancing Cryptographic Techniques in Cloud-Edges
- Secure Data Analysis and Private Learning
- Outsourced or Verifiable Computation in Cloud-Edges
- Secure Software-Defined Networking and Virtualization for in Cloud-Edges
- Security for Crowdsourcing in Cloud-Edges
IMPORTANT DATES
- Manuscript Due: January 15, 2019 *FIRM*
- First Review Notification: April 15, 2019
- Revised Manuscript: May 31, 2019
- Second Review Notification: June 30, 2019
- Second Revised Manuscript: July 31, 2019
- Camera Ready Paper Due: August 31, 2019
- Publication Date: Third Quarter of 2019
SUBMISSION GUIDELINES
Submitted papers should not have been previously published nor be
currently under consideration for publication elsewhere. Submission must
be in the form of a PDF file and must be in English. All papers will be
thoroughly peer-reviewed by independent reviewers and selected based on
originality, scientific quality and relevance to the special issue. The
journal editors will make final decisions about the acceptance of the
papers.
All submissions must be prepared according to the Guide for Authors
available on FGCS homepage and submitted through the Editorial system
(EVISE) located at https://www.evise.com/evise/jrnl/FGCS. Authors must
select "VSI: Trusted Cloud-Edge Comp", from the "Choose Article Type"
pull-down menu during the submission process at EVISE.
GUEST EDITORS
Claudio A. Ardagna
University of Milan, Italy
claudio.ardagna(a)unimi.it
Mauro Conti
University of Padova, Italy
conti(a)math.unipd.it
Ernesto Damiani
Centre on Cyber-Physical Systems, Khalifa University, Abu Dhabi, UAE
ernesto.damiani(a)kustar.ac.ae
Chia-Mu Yu
National Chung Hsing University, Taiwan
chiamuyu(a)nchu.edu.tw
S.I. On the Importance of Semantics in Big Data Integration, Storage, and
Processing
[Apologies if you receive multiple copies of this CfP]
----------------------------------------------------------------------------
---
FOUNDATIONS of COMPUTING and DECISION SCIENCES journal
http://fcds.cs.put.poznan.pl/fcds2/
De Gruyter Publisher
https://www.degruyter.com/view/j/fcds
Indexed by: Clarivate Analytics - Emerging Sources Citation Index
----------------------------------------------------------------------------
---
SPECIAL ISSUE:
On the Importance of Semantics in Big Data Integration, Storage, and
Processing
----------------------------------------------------------------------------
---
Guest editors:
----------------------------------------------------------------------------
---
Paolo Ceravolo
Universita' degli Studi di Milano, Italy
Robert Wrembel
Poznan University of Technology, Poland
Aims:
----------------------------------------------------------------------------
---
The complexity of Big Data technologies and the variety of knowledge and
skills
needed to design Big Data applications have emphasized the relevance of
systems
for managing and documenting Big Data architectures. Documentation,
reconfiguration, and verification are crucial tasks for a solid
design of technological solutions, but are only partially supported in the
current landscape of Big Data technologies. Rethinking data and metadata
management in the context of Big Data technologies is then a primary goal
for
future research.
Methods, principles, and perspectives developed by the Data Semantics
community
can significantly contribute to the aformentioned issues. Solutions for
integrating and querying schema-less data, have received much attention.
Standards for metadata management have been proposed to improve data
integration
among silos and to make data more discoverable and accessible through
heterogeneous infrastructures. A further level of application of Data
Semantics
principles in Big Data technologies involves Representing Processes, i.e.
the entire pipeline of technologies connected to achieve a specific solution
and to make this representation shareable and verifiable to support a mature
implementation of the Big Data production cycle.
Following the manifesto paper "Big Data Semantics" (J. Data Semantics 7(2),
2018), which identified the important and yet unsolved issues of managing
semantics of Big Data, we continue research on this topic. The aim of this
special issue of FCDS is to promote research on Big Data semantics and to
create a common place for sharing contributions to this topic.
Topics of interest for submission include (but are not limited to):
----------------------------------------------------------------------------
---
Big Data Management
Metadata Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Storage and Retrieval
Big Data Integration Architectures and Techniques
Data Source Discovery
Big Data Profiling and Semantics Discovery
Querying Heterogeneous Big Data Repositories
Caching and Materializing Query Results
Quality of Big Data Services
Big Data Service Performance Evaluation
Big Data Service Reliability and Availability
Reproducibility of Big Data Services
Verifiability of Big Data Services
Assurance in Big Data Services
Big Data Visualization
Real Time Visualisation
Visualization Analytics for Big Data
Big Social Media Mining
Big Data Security and Privacy
Big Data System Security and Integrity
Big Data Information Security
Privacy-Preserving Big Data Analytics
Usable Security and Privacy for Big Data
Performance of Big Data Architectures
Query Optimization
Optimal Selection of Analytics
Physical Structures
Timetable:
----------------------------------------------------------------------------
---
20 Feb 2019 - paper submission
10 May 2019 - author notification
31 Jul 2019 - revision submission
31 Sep 2019 - final acceptance notification
10 Oct 2019 - camera-ready submission
Submission information:
----------------------------------------------------------------------------
---
* Papers must be submitted via EasyChair using the following address:
https://easychair.org/conferences/?conf=fcdsspecialissue2019
* We encourage using Latex, the FCDS template can be downloaded
from: http://fcds.cs.put.poznan.pl/FCDS/Files/fcds.zip
* Max number of pages: 28 in the FCDS style
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 submission Deadline: February 17, 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
February 17, 2019: Deadline for paper submission
March 31, 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
International Program Committee:
All submitted papers will be reviewed by the workshop technical program committee members.
Program Committee formation is pending and will be finalised shortly.
-
************************************************************************************
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
************************************************************************************
HiPC 2018 - For Release 20 November 2018
-----------------------------------------------------------------------------------------------
25th IEEE International Conference on High Performance Computing, Data, and
Analytics (HiPC 2018) December 17-20, 2018 Radisson Blu Hotel Bengaluru,
India www.hipc.org SPECIAL ANNOUNCEMENT ABOUT PRE-CONFERENCE SATELLITE
TUTORIALS The HiPC 2018 meeting will offer four tutorials covering topics
of interest to the broader HPC and Data Science Communities. Two of the
tutorials will be held on December 16th, the day before the conference
begins. They are free but may require registration. See web for details.
Satellite Tutorial 1: --FPGA-based Accelerated Cloud Computing (Xilinx)
Satellite Tutorial 2: --Cloud Services for Performing Scientific Computing
and Data Management (Microsoft) Conference Tutorials 3 and 4 (to be held on
20th December as part of conference) --HCLib: A Task based Parallel
Programming Model --A Language and Framework for Prototyping and
Experimenting with Edge Oriented IoT
------------------------------------------------------------------------------------------------
DESCRIPTION OF CONFERENCE PROGRAM HiPC 2018 is the 25th edition of the IEEE
Conference on High Performance Computing, Data, and Analytics. It serves as
a forum to present current work by top researchers in the field and to
highlight the activities in Asia in the area of high performance computing
and related scientific, engineering, and commercial applications. To mark
the 25th anniversary of HiPC, a special lecture and several celebratory
events are planned. TECHNICAL SESSIONS Thirty-three papers out of 149
submissions have been accepted for presentation at the conference (22%
acceptance rate). The papers were submitted either to HPC tracks
(Algorithms, Applications, Architecture and Software) or to Data Science
tracks (Big Data Algorithms and Analytics, Big Data Systems and Software).
Accepted papers will be presented in six technical sessions on days 2, 3
and 4: Learning, Graph Algorithms, GPUs, Linear Algebra and Fault
Tolerance, Algorithms and Data Analysis, and Applications and System Tools.
KEYNOTE SPEAKERS Day 2 - Balaraman Ravindran, Indian Institute of
Technology, Madras Looking Under the Hood of Deep Neural Networks Day 3 -
Marc Snir, University of Illinois at Urbana-Champaign The Future of
Supercomputing Day 4 - Srini Devadas, Massachusetts Institute of Technology
Secure High-Performance Computer Architectures: Challenges and
Opportunities WORKSHOPS Complementing the main technical program, six
workshops with programs and speakers that help to broaden the technical
scope of the conference will be held on day 1 (December 17th) of the
conference: 1: Parallel Fast Fourier Transform (PFFT) 2: Computational
Fluid Dynamics (CFD) 3: Artificial Intelligence Meets Blockchain (AIMB) 4:
Women in Data Science and High Performance Computing (WDSHPC) 5:
Convergence of High Performance Computing and Artificial Intelligence
(HPC&AI) 6: EduHiPC Workshop - Posters only STUDENT RESEARCH SYMPOSIUM The
meeting will also host the 11th Student Research Symposium (SRS) aimed at
fostering student research and providing a forum for students to present
their work in all areas related to HPC and Data Science. Twenty-one papers
have been accepted for poster presentation.
------------------------------------------------------------------------------------------------
Industry Research & User Symposium (IRUS) and Industry Exhibits The theme
for this year’s IRUS is the Impact of Computational and Data Science
technologies on emerging Digital Economy. The symposium will be held on
19th December and will contain 3 speakers from established as well as
emerging players. On days 2 and 3, there will be a full program of industry
exhibits and events.
------------------------------------------------------------------------------------------------
General Co-Chairs: Chiranjib Sur, Shell, India and Yinglong Xia, Huawei
Research America, USA Program Chair, HPC: Olivier Beaumont, Inria, France
Program Chair, Data Science: Srinivas Aluru, Georgia Institute of
Technology, USA Steering Chair: Viktor K. Prasanna, University of Southern
California, USA
------------------------------------------------------------------------------------------------
SPONSORSHIP HiPC is co-sponsored by IEEE Computer Society’s Technical
Committee on Parallel Processing (TCPP) and the HiPC Trust, India In
cooperation with ACM Special Interest Group on Algorithms and Computation
Theory (SIGACT) ACM Special Interest Group on Computer Architecture
(SIGARCH) IFIP Working Group on Concurrent Systems Manufacturers’
Association for Information Technology (MAIT) National Association of
Software and Service Companies (NASSCOM) Industry sponsors & partners
include: Microsoft (Titanium); Intel and Shell (Platinum); and Boston,
Google, Infosys, NetApp, TATA, and Xilinx (Gold). Visit the HiPC website to
see full listing of all industry partners and exhibitors.
[Image]
Call for Workshop Proposals & Conference Papers:
We invite you to submit workshops proposals by November 30, 2018. Workshops will be held in conjunction with PETRA'19. Authors are also invited to submit their original work as full, short, poster or workshop papers. The deadline for full and short papers is January 9, 2019.
All submissions will be published with PETRA'19 proceedings in the ACM Digital Library as part of the ACM ICPS program.
Submission Guidelines are available at here<http://petrae.org/submit-system.html>.
Aim and Scope:
PETRA is a highly interdisciplinary conference that focuses on computational and engineering approaches to improve the quality of life and enhance human performance in a wide range of settings, in the workplace, at home, in public spaces, urban environments, and other. Outcomes of this conference have a broad impact in application areas that include, manufacturing, transportation, healthcare, energy systems, security and safety, robotics, biomedicine, environment and conservation, and many others.
Topics of Interest:
Research areas of interest include, but are not limited to: (Extended List<http://petrae.org/cfp.html>)
* Healthcare Informatics
* Big Data Management
* Data Privacy and Remote Health Monitoring
* Games for Physical Therapy and Rehabilitation
* User Interface Design and Usability
* Reasoning Systems and Machine Learning
* Affective Computing
* Cyberlearning : Theory, Methods and Technologies
* Human-Robot Interaction
* Human-Centered Computing
* Human monitoring
* Haptics
* Gesture and Motion Tracking
* Cognitive Modeling
* Wearable Computing
* Interactions and the Internet of Things (IoT)
Upcoming Deadlines
* Workshop Proposals: November 30, 2018
* Conference Full/Short Papers: January 9, 2019
* Workshop Papers: February 25, 2019
* Conference Poster Papers: March 1, 2019
* Doctoral Consortium Applications: March 20, 2019
For any questions, please feel free to check our website www.petrae.org or contact us at petrae(a)uta.edu .
Unsubscribe<http://petrae.org/unsubscribe.html>
[Image]
**********
To unsubscribe from this mailing list, please visit https://listserv.uta.edu/cgi-bin/wa.exe?TICKET=NzM3MDQ3IGNvbXB1dGF0aW9uYWwu….
**********
Call for Papers
Workshop on Data Mining for Fake news in Social Media: Propagation,
Detection, and Mitigation (FEND'19), in conjunction with SDM'19
http://pike.psu.edu/fend19/
May 2-4, 2019, Alberta, Canada
Social media has become a popular means to consume news. However, the
quality of news on social media is lower than traditional news
organizations. Because it is cheap to provide news online and much
faster and easier to disseminate through social media, large volumes
of fake news, i.e., those news articles with intentionally false
information, are produced online for a variety of purposes, such as
financial and political gain. The extensive spread of fake news can
have severe negative impacts on individuals and society. First, fake
news can break the authenticity balance of the news ecosystem. For
example, it is evident that the most popular fake news was even more
widely spread on Facebook than the most popular authentic mainstream
news during the U.S. 2016 presidential election. Second, fake news
intentionally persuades consumers to accept biased or false beliefs
for political or financial gain. For example, in 2013, $130 billion in
stock value was wiped out in a matter of minutes following an
Associated Press (AP) tweet about an explosion that injured Barack
Obama. AP said its Twitter account was hacked. Third, fake news
changes the way people interpret and respond to real news, impeding
their abilities to differentiate what is true from what is not.
Therefore, it’s critical to understand how fake news propagate,
developing data mining techniques for efficient and accurate fake news
detection and intervene in the propagation of fake news to mitigate
the negative effects.
The objectives of this workshop are:
- Bring together researchers from both academia and industry as well
as practitioners to present their latest problems and ideas;
- Attract social media providers who have access to interesting
sources of fake news datasets and problems but lack the expertise in
data mining to use data effectively;
- Enhance interactions between data mining, text mining, social media
mining, and sociology and psychology communities working on problems
of fake news propagation, detection, and mitigation.
This workshop aims to bring together researchers, practitioners and
social media providers for understanding fake news propagation,
improving fake news detection in social media and mitigation.
Topic areas for the workshop include (but are not limited to) the following:
- User behavior analysis and characterization for fake news detection
- Text mining – mining news contents and user comments
- Early fake news detection
- Unsupervised fake news detection
- Fact-checking
- Tracing and characterizing the propagation of fake news and true news
- Malicious account and bot detection, user credibility assessment
- Visual analysis and exploration with images on the news
- News event aggregation and detection
- Building benchmark datasets for fake news detection in social media
Paper Submission:
Papers should be submitted as PDF, using the SIAM conference
proceedings style, available at
https://www.siam.org/Portals/0/Publications/Proceedings/soda2e_061418.zip?v….
Submissions should be limited to nine pages and submitted via CMT at
https://cmt3.research.microsoft.com/FEND2019.
Important Dates:
Submission deadline: February 1, 2019
Notification: March 15, 2019
SDM pre-registration deadline: April 2, 2019
Camera ready: April 15, 2019
Conference dates: May 2-4, 2019
Shall you have any questions, please email to szw494(a)psu.edu or kai.shu(a)asu.edu.
Workshop Organizers:
Suhang Wang Penn State University, USA
Dongwon Lee Penn State University, USA
Huan Liu Arizona State University, USA
-----------------------------------------------------------------------
Call for Presentations
9th Ada Developer Room at FOSDEM 2019
Saturday 2 February 2019, Brussels, Belgium
http://www.cs.kuleuven.be/~dirk/ada-belgium/events/19/190202-fosdem.html
Organized in cooperation with Ada-Europe
-----------------------------------------------------------------------
Ada-Belgium [1] is pleased to announce that there will be a one-day Ada
Developer Room on Saturday 2 February 2019 at FOSDEM 2019 in Brussels,
Belgium. This Ada DevRoom is once more organized in cooperation with
Ada-Europe [2].
General Information
-------------------
FOSDEM [3], the Free and Open source Software Developers' European
Meeting, is a free and non-commercial two-day weekend event organized
early each year in Brussels, Belgium. It is highly developer-oriented
and brings together 8000+ participants from all over the world.
No registration is necessary.
The goal is to provide open source developers and communities a
place to meet with other developers and projects, to be informed
about the latest developments in the open source world, to attend
interesting talks and presentations on various topics by open source
project leaders and committers, and to promote the development and
the benefits of open source solutions.
Ada Programming Language and Technology
---------------------------------------
Awareness of safety and security issues in software systems is
increasing. Multi-core platforms are now abundant. These are some
of the reasons that the Ada programming language and technology
attracts more and more attention, among others due to Ada's support
for programming by contract and for multi-core targets.
The latest Ada language definition was updated early 2016. Work on
new features is ongoing, such as improved support for fine-grained
parallelism, and will result in a new Ada standard scheduled for 2020.
Ada-related technology such as SPARK provides a solution for the
safety and security aspects stated above.
More and more tools are available, many are open source, including
for small and recent platforms. Interest in Ada keeps increasing,
also in the open source community, and many exciting projects have
been started.
Ada Developer Room
------------------
FOSDEM is an ideal fit for an Ada Developer Room. On the one hand,
it gives the general open source community an opportunity to see what
is happening in the Ada community and how Ada technology can help to
produce reliable and efficient open source software. On the other
hand, it gives open source Ada projects an opportunity to present
themselves, get feedback and ideas, and attract participants to their
project and collaboration between projects.
At previous FOSDEM events, the Ada-Belgium non-profit organization
organized very well attended Ada Developer Rooms, offering a full
day program in 2006 [4], a two-day program in 2009 [5], and full day
programs in 2012 [6], 2013 [7], 2014 [8], 2015 [9], 2016 [10], and
2018 [11]. An important goal is to present exciting Ada technology
and projects also to people outside the traditional Ada community.
Our proposal for another dedicated Ada DevRoom was accepted, and now
work continues to prepare the detailed program. We most probably
will have a total of 8 schedulable hours between 11:00 and 19:00
in one of the rooms which accommodate from 59 to 85 participants.
More information will be posted on the dedicated web-page on the
Ada-Belgium site [12], and final announcements will of course also
be sent to various forums, lists and newsgroups.
Call for Presentations
----------------------
We would like to schedule technical presentations, tutorials, demos,
live performances, project status reports, discussions, etc, in the
Ada Developer Room.
Ada-Belgium calls on you to:
- inform us at ada-belgium-board(a)cs.kuleuven.be about specific
presentations you would like to hear in this Ada DevRoom;
- for bonus points, subscribe to the Ada-FOSDEM mailing list [13]
to discuss and help organize the details;
- for more bonus points, be a speaker: the Ada-FOSDEM mailing list
is the place to be!
Do you have a talk you want to give?
Do you have a project you would like to present?
Would you like to get more people involved with your project?
We're inviting proposals that are related to Ada software
development, and include a technical oriented discussion.
You're not limited to slide presentations, of course.
Be creative. Propose something fun to share with people
so they might feel some of your enthusiasm for Ada!
Speaking slots are either 15 or 45 minutes, plus 5 minutes for Q&A.
Depending on interest, we might also have a session with lightning
presentations (e.g. 5 minutes each).
Note that all talks will be streamed live (audio+video) and recorded,
for remote as well as later viewing of talks, and so that people can
watch streams in the hallways when rooms are full. By submitting
a proposal, you agree to being recorded and streamed, and agree the
content of your talk will be published under the same license as all
FOSDEM content, a Creative Commons (CC-BY) license.
Submission Guidelines
---------------------
Subscribe to the Ada-FOSDEM mailing list [13], and submit
your proposal there. If needed, feel free to contact us at
ada-belgium-board(a)cs.kuleuven.be.
Please include:
- your name, affiliation, contact info;
- the title of your talk (be descriptive and creative);
- a short descriptive and attractive abstract;
- potentially pointers to more information;
- a short bio and photo.
See programs of previous Ada DevRooms (URLs below) for presentation
examples, as well as for the kind of info we need.
We'd like to put together a draft schedule by early December.
So, please act ASAP, and definitely by Saturday December 1, 2018
at the latest.
We look forward to lots of feedback and proposals!
Dirk Craeynest
Dirk.Craeynest(a)cs.kuleuven.be (for Ada-Belgium/Ada-Europe/SIGAda/WG9)
-----------------------------------------------------------------------
[1] http://www.cs.kuleuven.be/~dirk/ada-belgium
[2] http://www.ada-europe.org
[3] https://fosdem.org
[4] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/06/060226-fosdem.html
[5] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/09/090207-fosdem.html
[6] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/12/120204-fosdem.html
[7] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/13/130203-fosdem.html
[8] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/14/140201-fosdem.html
[9] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/15/150131-fosdem.html
[10] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/16/160130-fosdem.html
[11] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/18/180203-fosdem.html
[12] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/19/190202-fosdem.html
[13] http://listserv.cc.kuleuven.be/archives/adafosdem.html
-----------------------------------------------------------------------
This is a 30 Month PDRA in Computational Micromagnetism at Edinburgh University, open to home and international applications.
The link to the job description and application is at:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobs…
Please contact Wyn Williams (<mailto:wyn.williams@ed.ac.uk>wyn.williams(a)ed.ac.uk<mailto:wyn.williams@ed.ac.uk>) for informal enquiries.
Postdoctoral Research Associate in Micromagnetic Modelling
School of GeoSciences, The University of Edinburgh
Grade 7
Salary £33,199 to £39,609
Applications are invited for a 30 month post-doctoral research associate (PDRA) with extensive computational experience to join the mineral magnetism group at the School of GeoSciences, The University of Edinburgh. The position is funded by the Natural Environmental Research Council award “Determining ancient magnetic field strengths from the Earth and Solar System”, which is a collaborative project between Prof Wyn Williams (Edinburgh Univ.), Dr. Adrian Muxworthy (Imperial College), and Prof. John Tarduno (Univ. Rochester). The aim of the project is to better understand the magnetic recording fidelity of ‘non-ideal’ magnetic domain states and their ability to hold accurate recordings over periods of billions of years.
Using the finite-element micromagnetic modelling software MERRILL (www.rockmag.org<http://www.rockmag.org>) you will develop detailed models of magnetic recording characteristics of particles of iron oxides and sulphides. These models will be compiled into a relational data-base and used to simulate ‘whole-sample’ magnetic recording properties of standard and single crystal paleomagnetic samples. The numerical models will be validated using high-resolution magnetic, mineralogical and tomographic experimental observations from project partners at Imperial College and University of Rochester.
You will have a PhD (or near completion) in a physical or computational science with extensive experience of numerical modelling, preferably finite-element modelling and ideally micromagnetic modelling. You should have knowledge of FORTRAN and Python or similar. Experience in parallel programming and database management would be useful but not essential.
You should also have a track-record of publishing peer-reviewed research articles in international journals and demonstrate enthusiasm to contribute to the aims of the overall project as part of a wider team. You will also have excellent communication, planning, and team working skills.
The position is open from January 2019 with a latest possible start date of April 2019.
Closing date: 3 Jan 2019
Wyn Williams
Professor of Mineral Magnetism
School of GeoSciences
University of Edinburgh
Edinburgh EH9 3FE
Tel: +44 (0) 131 650 4909
Email: wyn.williams(a)ed.ac.uk<mailto:wyn.williams@ed.ac.uk>
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.