[Apologies if you receive multiple copies of this CFP]
Call for Papers
4th IEEE International Conference on Rebooting Computing
Part of IEEE Rebooting Computing Week
6-8 November 2019
San Francisco Bay Area, California
http://icrc.ieee.org/
The 4th IEEE International Conference on Rebooting Computing (ICRC 2019) will be held November 6-8 in the San Francisco Bay Area, California. ICRC is a premier venue for novel computing approaches. ICRC grew out of the IEEE Rebooting Computing Initiative (RCI), which was founded in 2012 to catalyze rethinking of the computer at all levels of the technology stack. The Rebooting Computing Committee represents thirteen IEEE Societies and Councils, and the membership in the Rebooting Computing Technical Community is approaching three thousand. For more information on the RCI please visit the Rebooting Computing Portal (http://rebootingcomputing.ieee.org).
Now in its 4th year, the IEEE International Conference on Rebooting Computing is the premier venue for forward looking computing, including algorithms and languages, system software, system and network architectures, new devices and circuits, and applications of new materials and physics. This is an interdisciplinary conference that has participation from a broad technical community, with emphasis on all aspects of the computing stack. The broad scope of ICRC extends to many areas of interest, including novel device physics and materials for post-Moore, beyond CMOS, and non-von Neumann computing paradigms.
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Topics of interest
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*Future computing approaches, including neuromorphic, brain-inspired computing, approximate and probabilistic, analog computing; computing based on novel device physics and materials (e.g., spin-based electronics, nonlinear dynamics and chaos); energy-efficient computing including reversible, adiabatic, and ballistic computing, superconductor and cryogenic computing; quantum computing; optical computing; biological and biochemical computing; Non-von Neumann computer architectures (e.g., in-memory processing, memory-based computing, cellular automata, or cellular neural networks).
*Future computing design aspects, including extending Moore’s law and augmenting CMOS; error-tolerant logic and circuits; future of design automation. post-CMOS, 3D, heterogeneous integration and packaging; future impact on performance, power, scalability, reliability, supportability
*Future Software and Applications, including beyond von Neumann system software issues (operating systems, compilers, security, and resource management); future computing programming paradigms and languages; applications suitable for and driving next generation computing (e.g., machine learning, deep learning.)
*Future computing use cases and prototypes, including ethics in design, implementation, and use; new technologies impacting the International Roadmap for Devices and Systems (IRDS); cybersecurity in future computing systems.
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Organizing Committee
———————————————
General co-Chairs: Cullen Bash (Hewlett Packard Enterprise) and Vivek Sarkar (Georgia Institute of Technology)
Program co-Chairs: Jim Ang (PNNL) and Paolo Faraboschi (Hewlett Packard Enterprise)
Full committee list: http://icrc.ieee.org/committee
Authors’ guidelines: http://icrc.ieee.org/authors-guidelines
———————————————
Important dates
———————————————
*Paper abstract submissions due: April 29, 2019 (11:00 pm EDT)
*Paper submissions due: May 6, 2019 (11:00 pm EDT)
*Author notification of acceptance: August 7, 2019
*Final copies of papers due: September 6, 2019
------------------------ Call for Papers -----------------------------
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/
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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.
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
Dear Colleague,
The IEEE SMC TC on Brain-Inspired Cognitive Systems (TC-BCS) will organize the following Special Sessions at IEEE SMC'19 (http://smc2019.org/index.html):
1) Brain-Inspired Cognitive Systems (BMI35, Code: 75sm9)
2) Cognitive Cybernetics and Autonomous Systems (C37, Code: 8xm35)
3) Autonomous Systems by Cognitive Computing (S18, code: t4567)
You are cordially invited for contributing a 4-page paper to the special sessions, which will be treated as the same as other categories of papers in the IEEE proceedings with EI index. The submission website is at: https://conf.papercept.net/conferences/scripts/start.pl . The session code as provided above will be needed for submission.
Sincerely,
Session Co-Chairs:
Prof. Yingxu Wang, Prof. Sam Kong, Prof. Henry Leung, and Prof. Kostas Plataniotis
_______________________________________________
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***KGAAS 2019***
[Apologies if you receive multiple copies of this message]
******************************************************
THE FIRST IEEE SERVICES WORKSHOP ON KNOWLEDGE GRAPH AS A SERVICE (KGAAS)
In conjunction with the IEEE SERVICES 2019, July 8-13, 2019, Milan, Italy
http://conferences.computer.org/services/2019/workshops/kgaas_workshop.html
******************************************************
CALL FOR PAPERS
Everything as a Service (EaaS or XaaS) has followed the development of
Software-Defined Everything as stakeholders determine the ultimate
culmination of human production of both tangible and intangible services.
However, in the light of the overall trend of AI driven conversion from
traditional services to intelligent services, prevailing challenges arise
for both conceptual foundations and technical preparation, especially
involving semantic understanding and utilizations. As Knowledge Graphs are
increasingly recognized as an important approach to solving problems related
to semantic understanding beyond question and answering systems, various
solutions focusing on Knowledge Graphs have been proposed. These cover
Knowledge Graph creation, understanding, searching, reasoning, modification
and especially and most recently embedding technologies with Machine
Learning. A foreseeable AI landscape with explainable and interactive human
interactions is becoming feasible based on Knowledge Graphs. The boundaries
of the capability of Knowledge Graph usages are constantly expanding, but
there are also open questions as to what issues can be solved by Knowledge
Graphs alone. Hierarchical architectures which project Data, Information,
Knowledge and Wisdom (DIKW) seem to be well paired with the organizing
capability of Knowledge Graph technologies in terms of the 5W ( What, Where,
When, How and Why). Although not yet formally settled as a uniform concept
itself, Knowledge Graphs have been actually or implicitly functioning as
Data Graph, Information Graph, Knowledge Graph and Wisdom Graph according to
the DIKW hierarchy. Recently we have also seen the emergence of various
applications and models of Knowledge Graph as a Service (KGaaS) as a gradual
acceleration towards an era of strong AI in contrast to the currently
prevailing weak AI. This workshop aims to bring together scientists,
researchers, and industrial engineers to discuss and exchange experimental
and theoretical results, novel designs, work-in-progress and case studies on
theories, design mechanisms and extensions on Knowledge Graph as a Service.
Topics of interest include but are not limited to:
- Small data learning
- Knowledge Graph as a Service
- AI as a Service
- Explainable Machine Learning Services
- Knowledge Management and creation in Context-aware and Situation-aware
Services
- Ontology modeling for IR
- Data acqusition and linking for Edge Computing
- Information analysis and abstraction for Edge Computing
- Knowledge creation and reasoning for Edge Computing
- DIKW architecture-based content/resource processing and service provision
- Security and Privacy Services based on Knowledge Graphs
- Load balancing based on transformations among layers of DIKW
- Edge and Fog Network Services related to DIKW architecture-based
- Theories and methods for transformations and coordination among layers of
DIKW
- Meta Modeling and formal modeling, and verification methods of semantic
rich graphs
SUBMISSION
We call for original and unpublished papers no longer than 6 pages (up to 2
additional pages may be purchased subject to approval by the Publication
Chair). All papers will be reviewed with a minimum of 3 good-quality reviews
per paper. The manuscripts should be formatted in standard IEEE camera-ready
format (double-column, 10-pt font) and be submitted as PDF files (formatted
for 8.5x11-inch paper).
The submission URL is:
https://easychair.org/conferences/?conf=ieeeservices2019
Authors wishing to submit a paper to this workshop must select the track
entitled IEEE SERVICES Workshop on Knowledge Graph as a Service (KGaaS) in
order to be considered.
IMPORTANT DATES
- Paper Submission Deadline: March 23, 2019
- Notification to Author: April 15, 2019
- Camera-ready & Registration: 1 May 2019
WORKSHOP CHAIR
- Yucong Duan, Hainan University (duanyucong(a)hotmail.com)
WORKSHOP PROGRAM CHAIR
- Katsunori Oyama, Nihon University (oyama.katsunori(a)nihon-u.ac.jp)
WORKSHOP STEERING GROUP
- Carl K. Chang, Iowa State University
- Peter Chen, Carnegie-Mellon University
- Michael Goul, Arizona State University
For general questions about this workshop, please contact the workshop chair
or program chair.
PROGRAM COMMITTEE
- Shizhan Chen, Tianjin University
- Wuhui Chen, Sun Yat-Sen University
- Christophe Cruz, CNRS-Le2i
- Shuiguang Deng, Zhejiang University
- Qiang Duan, The Pennsylvania State University
- Abdelrahman Osman Elfaki, University of Tabuk
- Honghao Gao, Shanghai University
- Jing He, Swinburne University of Technology
- Zhao Li, Alibaba Group
- Antonella Longo, University of Salento
- Zhihui Lu, Fudan University
- Riccardo Martoglia, Universita' di Modena e Reggio Emilia
- Hua Ming, Oakland University
- Nan Niu, University of Cincinnati
- Alexander Norta, Tallinn University of Technology
- Incheon Paik, University of Aizu
- Guilin Qi, Southeast University
- Lianyong Qi, Qufu Normal University
- Xiaobing Sun, Yangzhou University
- Hideyuki Takahashi, Tohoku University
- Joe Tekli, Lebanese American University
- Gianluigi Viscusi, École Polytechnique Fédérale de Lausanne
- Shangguang Wang, Beijing University of Posts & Telecommunications
- Bin Xu, Tsinghua University
- Gao Yang, Northeastern University
- Jingwei Yang, California State University
- Jianwei Yin, Zhejiang University
- Pengcheng Zhang, Hohai University
- Jun Zeng, Chongqing University
- Nianjun Zhou, IBM
- Zhangbing Zhou, China University of Geosciences
======================================
Joint Call for Papers
2019 CYBER SCIENCE & TECHNOLOGY CONGRESS, THE CO-LOCATED CONFERENCES,
AND ASSOCIATED EVENTS
Fukuoka, Japan, 5-8 August 2019
http://cyber-science.org/2019/
======================================
2019 Cyber Science & Technology Congress is one of the major events
sponsored by the IEEE Computer Sociatey, and supported by IEEE TC on
Scalable Computing and IEEE SMC TC on CyberMatics. It gathers
conferences and workshops that cover a broad spectrum of distributed
computing subjects, ranging from cyber-related science and technology,
cloud and big data computing, computational intelligence to dependable,
autonomic and secure computing research issues.
=================
Main Conferences
=================
PICom 2019 - The 17th IEEE International Conference on Pervasive
Intelligence and Computing
http://cyber-science.org/2019/picom/
DASC 2019 - The 17th IEEE International Conference on Dependable,
Autonomic and Secure Computing
http://cyber-science.org/2019/dasc
CyberSciTech 2019 - The 4th IEEE Cyber Science and Technology Congress
http://cyber-science.org/2019
CBDCom 2019 - The 5th IEEE International Conference on Cloud and Big
Data Computing
http://cyber-science.org/2019/cbdcom
==================================
Important Dates (for all main conferences)
==================================
- Regular Paper Submission Due: Mar. 20, 2019
- Wksp/SS Paper Due: April 20, 2019
- Authors Notification: May 25, 2019
- Camera-ready Submission: June 20, 2019
============
Proceedings
============
The proceedings of 2019 Cyber Science & Technology Congress, co-located
conferences, and associated events will be published by IEEE Conference
Publishing Services (IEEE-DL and EI indexed).
==============
Special issue
==============
Selected high quality papers from individual conferences will be
considered for publication in special issues of prestige journals
(SCI/EI indexed). More information will be available at the conference
website.
========================
Submission Instructions
========================
Authors are invited to submit their contributions electronically.
Submissions are handled through the EDAS conference management system.
Contributions must be written in English and report on original,
unpublished work not submitted for publication elsewhere. The
submissions must not exceed the total page number limit, including
figures and references, prepared using IEEE CS Proceedings format.
Submissions not adhering to the above specified constraints may be
rejected without review.
Detailed information about the topics, the submission categories and the
corresponding page limits are available at the conference websites.
For each accepted paper, one of the authors must register to 2019 Cyber
Science & Technology Congress and attend the corresponding conference to
present the paper.
=================
Associated Events
=================
2019 Cyber Science & Technology Congress will also feature workshops and
special session focusing on specific topics of related research.
An open call for workshop and special session proposals will follow, as
well as an open call for tool demo submissions. For more information,
please contact the congress organisers at cyberscitechcongress(a)gmail.com.
===================
Leading organizers
===================
Bernady O. Apduhan, Japan, (General Co-Chair of CyberSciTech 2019
Congress, General Executive Chair of DASC/PICom/CBDCom 2019)
Kouichi Sakurai, Japan (General Co-Chair of CyberSciTech 2019)
Kevin I-Kai Wang, New Zealand (General Co-Chair of CyberSciTech 2019)
Tadashi Dohi, Japan (General Chair of DASC 2019)
Md Zakirul Alam Bhuiyan, USA (General Chair of DASC 2019)
Flavia C. Delicato, Brazil (General Chair of PICom 2019)
Sozo Inoue, Japan (General Chair of PICom 2019)
Anna Kobusinska, Poland (General Chair of CBDCom 2019)
Peng Li, Japan (General Chair of CBDCom 2019)
Jianhua Ma, Japan (Steering Committee Co-Chair)
Laurence T. Yang, Canada (Steering Committee Co-Chair)
Hui-Huang Hsu, Taiwan (Steering Committee Co-Chair)
Qun Jin, Japan (Steering Committee Co-Chair)
Jun Wang, USA (Steering Committee Co-Chair)
Stephen S. Yau, USA (Steering Committee Co-Chair)
Mazin Yousif, USA (Steering Committee Co-Chair)
Albert Zomaya, Australia (Steering Committee Co-Chair)
Adnan Al-Anbuky, New Zealand (Steering Committee Co-Chair)
Huansheng Ning, China (Steering Committee Co-Chair)
Julien Bourgeois, France (Steering Committee Co-Chair)
[We apologize if you receive multiple copies of this CFP.]
CALL FOR PAPERS - IEEE SmartSys 2019 - DEADLINE APPROACHING
Fourth IEEE Workshop on Smart Service Systems (SmartSys)
Co-located with the IEEE International Conference on Smart Computing (SMARTCOMP 2019)
Washington D.C., June 12th/15th, 2019
http://mpsc.umbc.edu/smartsys/2019/
Technology succeeds when it provides benefits to the society either directly or indirectly. Understanding the societal and economic impact and human-centered aspects of a smart system or technology in advance and designing the system a-priori with potential value-added services help spur the discoveries of new tools, methodologies and innovative services. Smart service systems span across a variety of socio-technical facets comprising of devices, people, organizations, environments, and technologies to sense, actuate, control and assess the physical, cyber and societal artifacts of the human service systems. Besides the systems being self-adaptive and fault-tolerant, need to be designed in such a way that it can continuously increase the quality and productivity, the compliance and sustainability of the smart services it offers. While human-centered perspective and cognitive learning help create multi-facet value added services and catalyze the sustained economic growth of smart service systems, understanding the multi-modal sensing, control, heterogeneity and interdependency between different physical, virtual and logical components of such a complex system will enable the realization of new transformative smarter service systems. If successful, this can help improve the quality-of-service of the customers, quality-of-life of the citizens and quality-of returns of the stakeholders and investors.
Nurturing the development of smart service systems seeks for inter- and trans-disciplinary crosscutting research threads from system and operational engineering, computer science and information systems, social and behavioral science, computational modeling and industrial engineering etc. The goal of this workshop is to bring together practitioners and researchers from both academia and industry in order to have a forum for discussion and technical presentations on the fundamental knowledge and principles of smart service systems that enable the value co-creation in sensing, actuating, data analytics, learning, cognition, and control of human centric cyber-physical-social systems and future of work..
Research contributions are solicited in all areas pertinent to smart human services and systems, including:
• Innovative technologies, tools, methodologies and solutions for smart service systems; example includes personalized healthcare, smart energy, smart cities, smart manufacturing, intelligent transportation, education, precision medicine and agriculture, national security etc.
• Information extraction and interpretation from sensors, actuators, smart phones, smart watch, and human
• Context and situational-awareness of smart service systems
• Design of people-centric services and technologies for providing better services such as food, transportation and places to live
• Novel architectures and interoperable solutions for internet of things
• Models and methodologies for designing complex smart systems
• Big data analytics approaches for innovative smart services
• Modeling, analysis, co-production, and co-evolution of human activity, behavior and interaction for the effective adaptation and percolation of longitudinal smart service systems
• Role of machine learning, artificial intelligence, robotics, pervasive computing, control theory, information and communications technologies
• Design and developments of intelligent systems, intelligent enterprises and cyber-physical-social-systems
• Design of inter-dependent complex global systems such as healthcare, smart gird, computer networks, logistics and supply-chains, financial markets etc.
• Smart infrastructure and testbed to support the integration and test of autonomous systems and innovative applications
Important Dates
Paper submission: March 10, 2019
Notification: April 10, 2019
Camera Ready: April 28, 2019
Workshop Date: June 12th or June 15th, 2019
Organizing Committees
Workshop Co-Organizers
Nirmalya Roy, University of Maryland, Baltimore County
Gurdip Singh, Syracuse University
Sajal Das, Missouri University of Science and Technology
Technical Program Co-Chairs:
Kunal Mankodiya, University of Rhode Island, USA
Carlo Vallati, University of Pisa, Italy
Publicity Co-chairs
Antonio Arena, University of Pisa, Italy
Mohammadreza Abtahi, University of Rhode Island, USA
Technical Program Committee
TBD
Please Post. Thank you.
[Sorry if you get multiple copies of this message]
Call for Papers and Participation
*The 2019 High Performance Computing & Simulation Conference**
**(HPCS 2019)*
July 15-19, 2019
Dublin, Ireland
http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19
In Cooperation with the ACM, IEEE, IFIP
(Main Track Paper Submission Deadline: 25 March 2019)
(Other Conference tracks have different submission deadlines - Please
check the specific track of interest.)
HPCS Proceedings are to be published in IEEE XPLORE (pending) and
indexed by all major indexing services, including SCOPUS, EI, Sci, dblp,
etc.
Twitter: @HPCS Conference
FaceBook: HPCS Conference
LinkedIn: HPCS Conference
You are cordially invited to participate in this conference through
paper submission to main track, symposium, workshop or special session,
a tutorial, an invited speech, a demo, a poster, an exhibit, a panel
discussion, a doctoral dissertation, whichever sounds more appropriate
and convenient to you.
The conference will include invited presentations by experts from
academia, industry, and government as well as contributed paper
presentations describing original work on the current state of research
in high performance and large scale computing systems, their use in
modeling and simulation, their design, performance and use, and their
applications. There will also be tutorial sessions, workshops, special
sessions, demos, posters, panel discussions, doctoral colloquium, and
exhibits. Conference sponsorships are welcomed.
In addition to the main track, the conference will have the following
refereed archived symposia, workshops and special sessions:
*_Symposia:_* (all refereed archival papers. Have different deadlines)
http://hpcs2019.cisedu.info/2-conference/symposia
SYM01: Cloud Computing and Services for HPC Systems (InterClouds-HPC
2019)
SYM04: Big Data Principles, Architectures & Applications (BDAA 2019)
SYM03: High Performance Mobile Computing and Wireless Networks (MCWN
2019)
SYM04: Information Systems and Engineering (ISE 2019)
SYM05: Formal Approaches to Parallel and Distributed Systems (4PAD 2019)
Workshops: (all refereed archival papers. Have different deadlines)
http://hpcs2019.cisedu.info/2-conference/workshops
W01: Dependable and Resilient Many-Core and Exascale Computing (DRMEC
2019)
W02: Optimization of Energy Efficient High Performance and
Distributed Computing Systems (OPTIM 2019)
W03: Exploitation of Hardware Accelerators (WEHA 2019)
W04: High Performance Interconnection Networks and Interconnects
(HPINI 2019)
W05: High Performance Platform Management (HPPM 2019)
W06: Advances in Parallel Programming Models and Frameworks for the
Multi-/Many-core Era (APPMM 2019)
W07: Synergy of Parallel Computing, Optimization and Simulation
(PaCOS 2019)
W08: Peer-to-Peer Architectures, Networks and Systems (PANS 2019)
W09: Autonomic High Performance Computing (AHPC 2019)
W10: Security and High Performance Computing Systems (SHPCS 2019)
W11: Security and Performance in Cloud Computing (SPCLOUD 2019)
W12: High-Performance and Distributed Computing for Business
Analytics and Financial Applications (HPC-BAFA 2019)
W13: Computational Intelligence and Parallel Evolutionary Computation
(CIPEC 2019)
W14: Machine Learning, Pattern Recognition and Applications (MLPRA 2019)
W15: High Performance Computing for Weather, Climate, and solid Earth
Sciences (HPC-WCES 2019)
W16: HPC Systems for Biomedical, Bioinformatics, and Life Sciences
(BILIS 2019)
W17: High Performance Dynamic Reconfigurable Systems and Networks
(DRSN 2019)
W18: Architecture-aware Simulation and Computing (AASC 2019)
W19: Modeling and Simulation of Parallel and Distributed Systems
(MSPDS 2019)
W20: Parallel Computations for Neural Networks (PCNN 2019)
W21: Cellular Automata Algorithms & Architectures (CAAA 2019)
W22: Location-based Services and Applications in Ubiquitous Computing
(LSAUC 2019)
Special Sessions: (all refereed archival papers. Have different
deadlines) http://hpcs2019.cisedu.info/2-conference/special-sessions
SS01: Virtualization in High Performance Computing and Simulation
(VIRT 2019)
SS02: Benchmarking and High Performance Computing for Applications
and Optimization (HPBench 2019)
SS03: Biologically Inspired Parallel and Distributed Computing,
Algorithms and Solutions (BICAS 2019)
SS04: Compiler Architecture, Design and Optimization (CADO 2019)
SS05: High Performance Services Computing and Internet Technologies
(SerCo 2019)
SS06: Trusted Ubiquitous Networks & Multimedia Contents Protection
(TUN-MM 2019)
SS07: Digital Home Networks & Ambient Intelligence (DHN-AmI 2019)
SS08: High Performance Parallel and Distributed Data Mining (PDDM 2019)
SS09: Internet of Things and HPC: Devices, Networks, and
Applications (IoT-HPC 2019)
SS10: High Performance Mission Critical System Development (HiPMiC 2019)
SS11: Advances in Computational Methods in Electromagnetics (ACME 2019)
SS12: Fuzzy-based Simulation Approaches in Science and Engineering
(FSASE 2019)
SS13: High Performance Computing and Modeling & Simulation Education
(HPCEd 2019)
=================================================================
*Important Dates:*
Main Track Paper and Poster Paper Submission Deadline ———— 25 March 2019
Tutorial/Demo/Panel/Poster Proposal Deadline ——————-—— 25 March 2019
Notification of Acceptance starts —————————————— 22 April 2019
Registration & Camera-Ready Manuscripts Due ————————10 May 2019
Conference Dates ———————————————————— 15 - 19 July 2019
=================================================================
For further details and updates, please consult the conference web site
at URL: http://hpcs2019.cisedu.info/ or
http://conf.cisedu.info/rp/hpcs19 or contact one of the organizers.
We look forward to your contributions and seeing you in Dublin in July.
Thank you very much.
Best Regards.
HPCS 2019 Organizers
Dear Colleagues:
[Apologies for multiple receptions of this CFP]
Call For Papers
=============================================================================
The 12th International Conference on Security, Privacy and Anonymity in
Computation, Communication and Storage (SpaCCS 2019)
July 14-July 17, 2019, Atlanta, USA
http://cse.stfx.ca/~cybermatics/2019/spaccs/
All accepted papers will be published by Springer LNCS (EI Indexed). Best
Paper Awards will be presented to high quality papers. Distinguished
papers, after further revisions, will be be published in 10+ SCI & EI
indexed special issues (confirmed).
1. ACM Transactions on Internet Technology
Special Issue on Decentralized Blockchain Applications and Infrastructures
for Next Generation Cyber-Physical Systems
https://toit.acm.org/pdf/ACM-ToIT-CfP-Decentralized_Blockchain_Applications…
Publisher: ACM, IF = 1.727
2. EURASIP Journal on Wireless Communications and Networking
Special Issue: Multi-modal Sensor Data Fusion in Internet of Things
https://jwcn-eurasipjournals.springeropen.com/multi-modal-sensor
Publisher: Springer, IF = 2.407
3. IET Cyber-Physical Systems: Theory & Applications
Special Issue: Advanced Technologies for Cyber Physical Systems
Publisher: IET
4. IEEE Access
Special Section on Deep Learning: Security and Forensics Research Advances
and Challenges
https://ieeeaccess.ieee.org/special-sections/deep-learning-security-and-for…
Publisher: IEEE, IF = 3.557
5. Transactions on Blockchain Technology and Applications
http://vdlt.io/tIndex.html
Special Issue: Advances in Blockchain and Internet-of-Things
6. Digital Communications and Networks
Special Issue: TBD
Publisher: Elsevier, SCI indexed in 2019
7. Sensors
Special Issue: IoT-Enabled Sensor Networks: Vision and Challenges
https://www.mdpi.com/journal/sensors/special_issues/IoT_SensorNet
Publisher: MDPI, IF = 2.475
8. Remote Sensing
Special Issue: Intelligence Computing Paradigms with Remote Sensing
Networks in Water Hydrology
https://www.mdpi.com/journal/remotesensing/special_issues/water_Computation…
Publisher: MDPI, IF = 3.406
9. Journal of Systems Architecture
Special Issue: Dependable Cyber Physical Systems (SI: DCPS19)
https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-…
Publisher: Elsevier, IF = 0.913
10. EURASIP Journal on Wireless Communications and Networking
Special Issue: Human-centered Computing in Cloud / Edge / Fog
https://jwcn-eurasipjournals.springeropen.com/human-centered-computing
Publisher: Springer, IF = 2.407
* More special issues will be added later.
=============================================================================
The 2019 International Conference on Security, Privacy and Anonymity in
Computation, Communication and Storage (SpaCCS 2019) is the 12th event in
the series of conferences which are devoted to security, privacy and
anonymity in computation, communication and storage. SpaCCS is now
recognized as the main regular event of the world that is covering many
dimensions including security algorithms and architectures, privacy-aware
policies, regulations and techniques, anonymous computation and
communication, encompassing fundamental theoretical approaches, practical
experimental projects, and commercial application systems for computation,
communication and storage. As applications of computer systems and networks
have permeated in every aspect of our daily life, the issues of security,
privacy, and anonymity have become increasingly critical. The conference
will provide a forum for the world-class researchers to gather and share
their research achievements, emerging ideas and trends in the highly
challenging research fields.
==================
Important Dates
==================
Workshop/Special Session Proposal Due: January 15, 2019
Paper Submission Deadline: March 15, 2019
Authors Notification Date: April 15, 2019
Final Manuscript Due: May 15, 2019
Conference Date: July 14 - July 17, 2019
==================
Topics of interest include, but are not limited to
==================
Track 1: Security
1.1 Computation
-Security Model and Architecture
- Software and System Security
- Secure computation
- Security in Cloud/Fog/Edge Computing and Pervasive/Ubiquitous Computing
- Artificial Intelligence
- Secure Network Computing
- Risk Analysis and Management
1.2 Communication
- Network Security
- Malware and Botnets
- Intrusion Detection
- Security in Web Services
- Security in Mobile Social Networks
- Security in Mobile and Wireless Communications
- Fraud and Cyber- Crime
1.3 Storage
- Access Control
- Accounting and Audit
- Applied Cryptography
- Database Security
- Authentication
- Computer forensics
- Data Protection and Data Integrity
- Digital Content Protection and Digital Forensics
- Information Hiding
- Security in Big Data and its Applications
Track 2: Privacy
2.1 Computation
- Measuring and Quantifying Privacy
- Privacy Modelling and Analysis
- Software and System Privacy
- Privacy-preserving Computing
- Differential Privacy
- Blockchain-based Computation
- Privacy-enhanced Network Computing
- Obfuscation-based Privacy
- Cryptographic Tools
- Building and Deploying Privacy-enhancing Systems
- Reliability, Robustness, and Abuse Prevention in Privacy Systems
2.2 Communication
- Privacy in Web Services
- Privacy Metrics and Policies
- Crowdsourcing for Privacy
- Location and Mobility Privacy
- Privacy in Cloud and Big Data Applications
- Blockchain-based Communication
- Quantum Communications
- Privacy in Ubiquitous Computing and Mobile Devices
- Privacy in Social Networks and Microblogging Systems
- Privacy-enhanced Access Control, Authentication, and Identity Management
2.3 Storage
- Data Protection Technologies
- Privacy in Big Data and its Applications
- Policy Languages and Tools for Privacy
- Privacy and Human Rights
- Blockchain-based Storage
- Interdisciplinary Research Connecting Privacy to Other Fields
- Privacy in Cloud Computing and Pervasive/Ubiquitous Computing
- Information Leakage, Data Correlation and Generic Attacks to Privacy
- Privacy-Preserving Data Mining, Data Release and Publishing
Track 3: Anonymity
3.1 Computation
- Anonymous Data Mining and Data Sharing
- Parallelism Exploitation Techniques for Anonymity
- Anonymity in Big Data Analytics
- Anonymous Management in Trust Relationships
- Anonymous Video Analytics Technology
- Anonymity Metrics, Measures and Evaluations
- Anonymity Models, Hardware/Device of Anonymity
3.2 Communication
- Anonymity in Wireless Communication Systems
- Anonymous Communication Protocols
- Anonymity in Mobile, Ad Hoc, and Wireless Sensor Networks
- Anonymous Proxy Software
- Anonymous Communication and Internet
- Anonymous Social Networks, Structural k-Anonymity in Social Networks
- Authentication Protocol Providing User Anonymity
3.3 Storage
- Anonymous Information Storage and Management
- Private and Anonymous Data Storage
- Forensics
- Anonymity-Preserving Data Collection and Database
- Anonymity, Pseudonymity & Identity Management
- Anonymity in Big Data and Cloud Scenarios
- Anonymity in Health and Medical Databases
==================
Paper Submission
==================
All papers need to be submitted electronically through the conference
website (https://edas.info/N25666) with PDF format. Submitted papers must
not substantially overlap with papers that have been published or that are
simultaneously submitted to a journal or a conference with proceedings.
Papers must be clearly presented in English, must not exceed 14 pages (or
up to 20 pages with the pages over length charge) in Springer LNCS format (
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…),
including tables, figures, references and appendices. Papers will be
selected based on their originality, significance, relevance, and clarity
of presentation assessed by at least three reviewers. Submission of a paper
should be regarded as a commitment that, should the paper be accepted, at
least one of the authors will register and attend the conference to present
the work.
==================
Organizing Committee
==================
General Chairs
- Kim-Kwang Raymond Choo, University of Texas at San Antonio, USA
- Mark Last, Ben-Gurion University of the Negev, Israel
- Yanqing Zhang, Georgia State University, USA
Program Chairs
- Md Zakirul Alam Bhuiyan, Fordham University, USA
- Jun Feng, St Francis Xavier University, Canada
- Rongxing Lu, University of New Brunswick, Canada
Workshop Chair
- Wm. Bradley Glisson, Sam Houston State University, USA
Publicity Chairs
- Peter Mueller, IBM Zurich Research Laboratory, Switzerland
- Reza M. Parizi, Kennesaw State University, USA
- Yogachandran Rahulamathavan, Loughborough University London, UK
Local Chair
- Yubao Wu, Georgia State University, USA
Web Chairs
- Zihao Jiang, St. Francis Xavier University, Canada
- Xin Nie, Huazhong University of Science and Technology, China
Steering Committee
- Guojun Wang, Guangzhou University, China (Chair)
- Gregorio Martinez, University of Murcia, Spain (Chair)
- Jemal H. Abawajy, Deakin University, Australia
- Jose M. Alcaraz Calero, University of the West of Scotland, UK
- Jiannong Cao, Hong Kong Polytechnic University, Hong Kong
- Hsiao-Hwa Chen, National Cheng Kung University, Taiwan
- Jinjun Chen, University of Technology Sydney, Australia
- Kim-Kwang Raymond Choo, University of Texas at San Antonio, USA
- Robert Deng, Singapore Management University, Singapore
- Mario Freire, The University of Beira Interior, Portuga
- Minyi Guo, Shanghai Jiao Tong University, China
- Weijia Jia, Shanghai Jiao Tong University, China
- Wei Jie, University of West London, UK
- Georgios Kambourakis, University of the Aegean, Greece
- Ryan Ko, University of Waikato, New Zealand
- Constantinos Kolias, George Mason University, USA
- Jianbin Li, Central South University, China
- Jie Li, University of Tsukuba, Japan
- Jianhua Ma, Hosei University, Japan
- Felix Gomez Marmol, University of Murcia, Spain
- Geyong Min, University of Exeter, UK
- Peter Mueller, IBM Zurich Research Laboratory, Switzerland
- Indrakshi Ray, Colorado State University, USA
- Kouichi Sakurai, Kyushu University, Japan
- Juan E. Tapiador, The University Carlos III of Madrid, Spain
- Sabu M. Thampi, Indian Institute of Information Technology and
Management, India
- Jie Wu, Temple University, USA
- Yang Xiao, The University of Alabama, USA
- Yang Xiang, Swinburne University of Technology, Australia
- Zheng Yan, Aalto University, Finland
- Laurence T. Yang, St. Francis Xavier University, Canada
- Wanlei Zhou, University of Technology Sydney, Australia
--
Dr. Jun Feng
St. Francis Xavier University
Huazhong University of Science and Technology
Mobile: +86-18827365073
E-Mails: junfeng989(a)gmail.com, 512675288(a)qq.com
WeChat: junfeng10001000
Dear Sir, dear Madam,
Submission deadline has been extended to April 1st. Accepted papers will be
published at IEEE.
Best regards
==========================================================================
CALL FOR PAPERS
The 6th Special Session on High Performance Computing for Application
Benchmarking and Optimization (HPBench 2019)
As part of the International Conference on High Performance Computing &
Simulation (HPCS 2019)
http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19
Dublin, Ireland
==========================================================================
Benchmarking is an essential aspect of modern high performance computing
and computational science, and as such, it provides a means for quantifying
and comparing the performance of different computer systems.
With a large combination of aspects to benchmark, all the way from the
capability of a single core, to cluster configuration, and to various
software configurations, the benchmarking process is more of an art than
science. However, the results of this process drive modern science and are
vital for the community to draw sensible conclusions on the performance of
applications and systems.
This special session focuses on research work aimed at benchmarking modern
parallel and distributed systems for addressing a number of real world
problems. As such, contributions concerning the definition of new open
platforms, new benchmarks to match modern architectural evolutions, studies
on the aspects of benchmarking different aspects of systems (from raw
runtime performance to energy consumption to energy consumed per data
movement) and mathematical foundations of benchmarking are sought.
IMPORTANT DATES :
Papers Due: 1 April 2019 - Extended
Author Notification: 22 April 2019
Camera-Ready Submission: 8 May 2019
Conference Dates: 15-19 July 2019
TOPICS :
The HPBench topics of interest include, but are not limited to
-Open Platforms for Parallel and Distributed Application Benchmarking and
Optimization
-Benchmarking on the Cloud
-Benchmarking of Clusters, Supercomputers, and large-scale systems
-Benchmarking the Performance of I/O
-Benchmarking of Energy and Energy Efficiency
-Benchmarking Web Services
-Virtualization for Distributed Benchmarking
-Data Distribution for Benchmarking
-Performance results of benchmarks on modern platforms
-Scalability Aspects of Benchmarking Parallel Applications on Parallel and
Distributed Systems
-Benchmarking of Parallel Scientific and Business Applications
-Performance of Benchmarking Applications (Eg: NAS parallel benchmarks)
-Techniques, frameworks and results concerning the benchmarking of library
packages
-Tools and frameworks for performance modeling systems and applications
-Tools and frameworks for simulation, measurement and monitoring
-Performance Measurements, Monitoring, Modeling and Simulation
-Domain-specific benchmarks and applications (such as image processing,
pattern recognition, cryptography, biometrics, differential equation
solvers, signal processing and alike)
-Mathematical Foundations of Benchmarking, Metrics and Heuristics
GENERAL CHAIRS :
- Samar Aseeri, King Abdullah University of Science and Technology, Saudi
Arabia
- Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany
- Laurent Lefevre, INRIA, ENS Lyon, France
TECHNICAL PROGRAM COMMITTEE:
- Cosimo Anglano, Universitá del Piemonte Orientale, Italy
- Daniel Balouek-Thomert, Rutgers University, USA
- Fabio Baruffa, Intel, Germany
- Suren Byna, Lawrence Berkeley National Laboratory, California, USA
- Jesus Carretero, Universidad Carlos III de Madrid, Spain
- Douglas Doerfler, Lawrence Berkeley National Laboratory, California, USA
- Zhiyi Huang, University of Otago, New Zealand
- Clay Hughes, Sandia National Laboratories, New Mexico, USA
- Aleksandar Ilic, Universidade de Lisboa, Portugal
- Bok Jik Lee, Gwangju Institute of Science and Technology, Korea
- Ravi Reddy Manumachu, University College Dublin, Ireland
- Dana Petcu, West University of Timisoara, Romania
- Ivan Rodero, Rutgers University, USA
- Gudula Rünger, Technische Universität Chemnitz, Germany
- Domenico Talia, Università della Calabria, Rende, Italy
*********************************************************************
For more information see
http://hpcs2019.cisedu.info/2-conference/special-sessions/session02-hpbench
Kind Regards
--
Samar Aseeri, PhD
Computational Scientist
Extreme Computing Research Center (ECRC)
Building 1 -Office: 0128
*King Abdullah University of Science & Technology*
Thuwal, Saudi Arabia
Email: samar.aseeri(a)kaust.edu.sa
--
This message and its contents, including attachments are intended solely
for the original recipient. If you are not the intended recipient or have
received this message in error, please notify me immediately and delete
this message from your computer system. Any unauthorized use or
distribution is prohibited. Please consider the environment before printing
this email.
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
Submission Deadline extended to: March 15, 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
March 15, 2019: Deadline for paper submission
April 7, 2019: Notification of Acceptance.
May 8, 2019: Early-bird Registration ends.
May 8, 2019: Submission deadline for the final version of the Papers
July 1-4, 2019: ICCSA 2019 Conference
WORKSHOP ORGANIZERS
Massimo Cafaro
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: massimo.cafaro(a)unisalento.it
Italo Epicoco
University of Salento, Italy
Phone: +39 0832 297235
Fax: +39 0832 297235
Email: italo.epicoco(a)unisalento.it
Marco Pulimeno
University of Salento, Italy
Phone: +39 0832 297371
Fax: +39 0832 297235
Email: marco.pulimeno(a)unisalento.it
Giovanni Aloisio
University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy
Phone: +39 334 6501704
Fax: +39 0832 297235
Email: giovanni.aloisio(a)unisalento.it
All submitted papers will be reviewed by the workshop technical program committee members.
International Program Committee:
Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA
Giuseppe Di Fatta, University of Reading, UK
Ann Gordon-Ross, University of Florida, USA
Kenli Li, Hunan University, China
Donato Malerba, University of Bari, Italy
Barbara Masucci, University of Salerno, Italy
Mitsunori Ogihara, University of Miami, USA
Takahiko Shintani, The University of Electro-Communications , Japan
Domenico Talia, University of Calabria, Italy
Paolo Trunfio, University of Calabria, Italy
Jeffrey D. Ullman, Stanford University, USA
Laurence T. Yang, St Francis Xavier University, Canada
-
************************************************************************************
Massimo Cafaro, Ph.D.
Associate Professor
Dept. of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web http://sara.unisalento.it/~cafaro
E-mail massimo.cafaro(a)unisalento.it
cafaro(a)ieee.org
cafaro(a)acm.org
CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro(a)cmcc.it
************************************************************************************