computational.science December 2017

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Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 17 Dec '17

17 Dec '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier Submission deadline: February 1st, 2018 The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. 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. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. 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. 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. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments Benchmarking and performance studies of high-performance data mining applications Novel programming paradigms to support high-performance computing for data mining Performance models for high-performance data mining applications and middleware Programming models, tools, and environments for high-performance computing in data mining Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: February 1st, 2018 First round notification: May 1st, 2018 Revised version due: July 1st, 2018 Final notification: August 1st, 2018 Camera-ready due: September 15th, 2018 Publication tentative date: December 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, Italy - ************************************************************************************ 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 ************************************************************************************

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The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018)
by Massimo Cafaro 17 Dec '17

17 Dec '17

The Second International Workshop on Parallel and Distributed Data Mining (WPDM 2018) CALL FOR PAPERS As part of The 18th International Conference on Computational Science and Its Applications (ICCSA 2018), http://www.iccsa.org July 2 - 5 2018, Melbourne, Australia Submission Deadline: January 28, 2018 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 2018 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 January 28, 2018: Deadline for paper submission April 8, 2018: Notification of Acceptance. May 6, 2018: Early-bird Registration ends. May 6, 2018: Submission deadline for the final version of the Papers July 2-5, 2018: ICCSA 2018 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. Current TPC members: Gianfranco Bilardi, University of Padova, Italy Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy Giuliano Laccetti, University of Naples, Italy Pablo Moscato, University of Newcastle, Australia Domenico Talia, University of Calabria, Italy Paolo Trunfio, University of Calabria, Italy Jeffrey D. Ullman, Stanford University, USA - ************************************************************************************ 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 ************************************************************************************

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IEEE 7th Parlearning workshop with IPDPS 2018
by ngoko 17 Dec '17

17 Dec '17

Please, accept our apologies in case of multiple copies of this CFP. ******************************************************************* The 7th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics May 21, 2018 Vancouver, British Columbia CANADA http://parlearning.ecs.fullerton.edu In Conjunction with 32nd IEEE International Parallel & Distributed Processing Symposium. Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past ten years have seen the rise of multi-core and GPU based computing. In parallel and distributed computing, several frameworks such as OpenMP, OpenCL, and Spark continue to facilitate scaling up ML/DM/AI algorithms using higher levels of abstraction. We invite novel works that advance the trio-fields of ML/DM/AI through development of scalable algorithms or computing frameworks. Ideal submissions should describe methods for scaling up X using Y on Z, where potential choices for X, Y and Z are provided below. Scaling up • Recommender systems • Optimization algorithms (gradient descent, Newton methods) • Deep learning • Sampling/sketching techniques • Clustering (agglomerative techniques, graph clustering, clustering heterogeneous data) • Classification (SVM and other classifiers) • SVD and other matrix computations • Probabilistic inference (Bayesian networks) • Logical reasoning • Graph algorithms/graph mining and knowledge graphs • Semi-supervised learning • Online/streaming learning • Generative adversarial networks Using • Parallel architectures/frameworks (OpenMP, OpenCL, OpenACC, Intel TBB) • Distributed systems/frameworks (GraphLab, Hadoop, MPI, Spark) • Machine learning frameworks (TensorFlow, PyTorch, Theano, Caffe) On • Clusters of conventional CPUs • Many-core CPU (e.g. Xeon Phi) • FPGA • Specialized ML accelerators (e.g. GPU and TPU) IMPORTANT DATES • Paper submission: February 16, 2018 AoE • Notification: March 16, 2018 • Camera Ready: March 30, 2018 PAPER GUIDELINES Submitted manuscripts should be upto 10 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. Format requirements are posted on the IEEE IPDPS web page. All submissions must be uploaded electronically at TBA TRAVEL AWARDS Students with accepted papers can apply for a travel award. Please find details at www.ipdps.org

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[simu-conf] Extended Deadline - Sysmposium of Theory of Modeling and Simulation 2018
by vsim-conf＠sce.carleton.ca 16 Dec '17

16 Dec '17

TMS/DEVS'18: Theory of Modeling and Simulation/DEVS Symposium - Call for Papers April 15-18, 2018 Baltimore, MD, USA DEADLINE EXTENDED http://tmsdevs.org The purpose of this symposium is to provide a forum to discuss recent advancements in M&S theory. The main focus is on modeling, methodology, practice and software to cope with the challenges arising out of these, as well as lessons learned and challenges. The Symposium bridges different areas in the field of theory of M&S, including formal modeling, model-checking, graph transformation, modeling methodologies. All papers will be archived in the ACM and IEEE Digital Libraries, SCOPUS and DBLP. ---------------------------------------------------------------------------- ------------------------------------- Topics of interest include (but are not limited to): - Theory * Advances in Modeling Formalisms (DEVS, Petri nets, Statecharts, etc.) * Model Transformation * Model Checking and Verification - Modular Approaches to M&S * Model Composition * Co-simulation * Interoperability * Modular Modeling of Hybrid Systems * Modular Modeling of Spatially Distributed Systems * Modular Representation of Numerical Solvers - Complex Systems M&S * Multi-Paradigm/Multi-Domain Modeling * Multi-Resolution/Multiscale Modeling * Cyber-Physical Systems M&S * Ultra-Large-Scale Systems M&S * Systems of Systems M&S - M&S Technologies * Parallel/Distributed/Cloud-Based Simulation * Real-Time and Interactive Simulation * M&S of Embedded Systems - M&S Tools and Standards * Simulation Languages/Libraries * Simulation Development/Visualization Tools * M&S Repositories/Data Formats Important Dates Full paper submission: Jan. 08, 2018 Notification of acceptance: Feb. 05, 2018 Camera-ready paper: Feb. 23, 2018 Details: http://tmsdevs.org [apologies for multiple postings - if you need to unsubscribe reply to this email or contact vsim-conf-owner(a)sce.carleton.ca]

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IEEE/IFIP International Workshop on Analytics for Network and Service Management (Submissions due: 5 January 2018)
by Yixin Diao 14 Dec '17

14 Dec '17

============================================================================== 3rd IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2018) In conjunction with the IEEE/IFIP Network Operations and Management Symposium (NOMS) in Taipei, Taiwan on April 23, 2018. http://annet2018.loria.fr Submissions due: January 5, 2018 ============================================================================== The third IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2018) will be held in conjunction with the IEEE/IFIP Network Operations and Management Symposium (NOMS) in Taipei, Taiwan on April 23, 2018. Following the success of the first two editions of this workshop, the main goal of AnNet is to present research and experience results in the area of data analytics and machine learning for network and service management. Approaches such as statistical analysis, data mining, and machine learning are promising mechanisms to harness the immense stream of operational data and to improve operations and management of IT systems and networks. AnNet 2018 will include original full-papers presentations, a keynote, and short-paper sessions. The workshop attendees will be stimulated to participate in interesting discussions. To this end, short papers describing late-breaking advances and work-in-progress reports from ongoing research and experimental work are also welcome. ----------------------------------------------------------------------- Topics of Interest Authors are invited to submit papers that fall into or are related to one or multiple topic areas listed below: Data Analytics Analysis, modeling and visualization Operational analytics and intelligence Event, log and big data analytics Network traffic analysis Anomaly detection and prediction Crowd sensing Monitoring and measurements for management Predictive and real-time analytics Harnessing social data for management Machine Learning Techniques Supervised, semi-supervised and unsupervised learning Clustering and data mining Reinforcement learning Multi-agent based learning Deep learning Bayesian methods Ensemble methods Cognitive computing Mining spatiotemporal and time series data Network Management Paradigms Autonomous and autonomic networks Fog/edge computing In-network processing Bio-inspired networks and self-management Cognitive and software defined networks Network function virtualization Security, fault, performance and resource management Application Domains Computer networks Mobile ad-hoc and wireless sensor networks Clouds and data centers Virtualized infrastructures Internet of Things Computing and network services IT service management Storage resource management ----------------------------------------------------------------------- Paper Submission Paper submissions must present original, unpublished research or experiences. Only original papers that have not been published or submitted for publication elsewhere can be submitted. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper. There is a length limitation of 6 pages (including title, abstract, all figures, tables, and references) for regular papers, and 4 pages for short papers describing work in progress. Submissions must be in IEEE 2-column style. Self-plagiarized papers will be rejected without further review. Authors should submit their papers via JEMS: https://jems.sbc.org.br/home.cgi?c=2882 Papers accepted for AnNet 2018 will be included in the conference proceedings, IEEE Xplore, IFIP database and EI Index. IFIP and IEEE reserve the right to remove any paper from the IFIP database and IEEE Xplore if the paper is not presented at the workshop. Awards will be presented to the best paper at the workshop. ----------------------------------------------------------------------- Important Dates Paper Registration: January 5, 2018 Paper Submission Deadline: January 5, 2018 Acceptance Notification: February 28, 2018 Camera-Ready Papers: March 16, 2018 Workshop Date: April 23, 2018 ----------------------------------------------------------------------- Workshop Organization General Chair Yixin Diao, IBM T. J. Watson Research Center, USA TPC Co-Chairs Remi Badonnel, Telecom Nancy, Loria-Inria, France Noriaki Kamiyama, Fukuoka University, Japan Steering Committee Raouf Boutaba, University of Waterloo, Canada Yixin Diao, IBM T. J. Watson Research Center, USA Rolf Stadler, KTH Royal Institute of Technology, Sweden Filip De Turck, Ghent University iMinds, Belgium Mehmet Ulema, Manhattan College, USA Nur Zincir-Heywood, Dalhousie University, Canada ----------------------------------------------------------------------- Please contact us if you have any question about the IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2018): annet2018tpc(a)gmail.com

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CFP: Workshop on Industrial Internet of Things Security (WIIoTS)
by Cristina Alcaraz 14 Dec '17

14 Dec '17

*** Apologies for multiple copies *** C a l l F o r P a p e r s Workshop on Industrial Internet of Things Security (WIIoTS) Bilbao, Spain, June 4-7, 2018 (in conjunction with Global IoT Summit 2018) http://globaliotsummit.org Submission due: Feb 16, 2018 (GMT) Conference Outline: The Industrial Internet of Things (IIoT) is an emerging paradigm in today’s (control) industry, comprising Internet-enabled cyber-physical devices with the ability to couple to the new interconnection technologies such as cloud/fog computing. Under this perspective, the new industrial cyber-physical “things” can be accessible and available from remote locations, the information of which can be processed and stored in distributed locations, favouring the cooperation, the performance in field, and the achievement of operational tasks working at optimal times. However, the incorporation of the IIoT in the new scenarios of the fourth industrial revolution, also known as Industry 4.0, entails having to consider the new security and privacy issues that can threaten the wellbeing of the new IIoT ecosystem and its coexistence with the existing industrial technologies, with a high risk of impact on the end-users. Therefore, this workshop will create a collaboration platform for experts from academia, governments and industry to address the new IIoT security and privacy challenges. Papers related to security and privacy of embedded systems working in industrial and control environments, such as SCADA, smart grid, smart cities, manufacturing systems, water systems, and in critical infrastructures in general, are all welcome at WIIoTS 2018. The technical topics of interest for this workshop include, but are not limited to: • Interoperable IIoT ecosystem-level security and privacy challenges • IIoT governance, regulation and standards • Cross-layer threat modelling in IIoT and risk assessment • Lightweight cryptography and key management • Lightweight IIoT security protocols and AAA services for IIoT • Collaborative and trustworthy IIoT frameworks and architectures • Privacy-preserving models and anonymization techniques for IIoT • Secure IIoT data storage and Big Data • Location privacy and trust management • Intrusion detection, anomaly diagnosis and situational awareness for IIoT • Response and resilience to IIoT cyber-attacks • Incident management and IIoT forensics • Case studies and practical validations: SCADA, energy, water, smart factory, etc. Important Dates: ================ • Submission due: Feb 16, 2018 (GMT) • Notification: Mar 31, 2018 • Camera-ready due: Apr 30, 2018 Program Chair: ============== • Cristina Alcaraz (University of Malaga, Spain) General Co-Chairs: ================== • Javier Lopez (University of Malaga, Spain) • Yan Zhang (University of Oslo, Norway) Technical Program Committee: ============================ • Alvaro Cardenas (University of Dallas, USA) • Christos Xenakis (University of Piraeus) • Dimitris Gritzalis (Athens University of Economics and Business) • Federica Pascucci (University of Roma Tre, Italy) • Kim-Kwang Raymond Choo (University of Texas, USA) • Luca Faramondi (University Campus Bio-Medico) • Mihalis Psarakis (University of Piraeus, Greece) • Nils Ole Tippenhauer (Information Systems Technology and Design (ISTD), Singapore) • Panayiotis kotzanikolaou (University of Piraeus, Greece) • Rakesh Bobba (Oregon State University, USA) • Rodrigo Roman (University of Malaga, Spain) • Sherali Zeadally (University of Kentucky, USA) • Urko Zurutuza Ortega (University of Mondragon, Spain) • Xinyi Huang (Fujian Normal University, China) Publicity Chair: ================ • Juan E. Rubio (University of Malaga, Spain) Submission Instructions: ======================== Final submissions must not substantially overlap papers already or simultaneously submitted to a journal or a conference with proceedings. Their contents should be written in English with a maximum paper length of six (6) printed pages see web conference for instructions. Papers must be submitted through EDAS. "IEEE reserves the right to exclude a paper from distribution after the conference, including IEEE Xplore® Digital Library, if the paper is not presented by the author at the conference." Contact: ======== Email: rubio(a)lcc.uma.es WIIoTS Home: http://globaliotsummit.org

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WAT 2018: Call for papers (deadline extension)
by Organizing committee, WAT 2018 14 Dec '17

14 Dec '17

Track: Workshop on Adaptive Technology -- WAT 2018 ================================================== https://usp.us2.list-manage.com/track/click?u=e2bd2dfe2bca5a783c68a77df&id=… The 9th International Conference on Ambient Systems, Networks and Technologies May 8-11, 2018, Porto, Portugal (https://usp.us2.list-manage.com/track/click?u=e2bd2dfe2bca5a783c68a77df&id=…) -- FINAL DEADLINE EXTENDED TO JANUARY 7, 2018 -- (Other dates have changed as well, please refer to "Important dates" in the workshop website.) Theme ===== Adaptive approach aims to aid the solution search of practical problems through auto-modifiable mathematical abstractions such as adaptive models and devices. In other words, the adaptive approach can be described as an auto-modifiable formalism. An adaptive device is composed by two main aspects: subjacent and adaptive. The subjacent aspect is an rule-based device such as an automaton or an grammar. The adaptive aspect is a meta-level rule-based device that can change the configuration or topology of subjacent aspect. The adaptive aspect has both adaptive declarations and actions. Adaptive declaration is a pre-condition to an adaptive action; the adaptive action can modify the subjacent aspects´s rules through query, inclusion and exclusion. This is the mechanism that allows the auto-modification of adaptive device. The first adaptive device was applied upon an structured stack automaton. Since then there were been proposed several adaptive formalisms, tests and applications using statecharts, Markov chains, decision tables, grammars, trees, etc. Those are used in robotic, artifical intelligence, compiler construction, etc. This workshop is a development of a 10+ years national event held at University of São Paulo (Brazil) called WTA. It aims to provide a proper forum to discuss adaptivity both on theory and application. It is expected the presentation of high-quality, original research covering all aspects of adaptivity, its methodologies, design, analysis, implementation, verification, and case-studies. Original papers that embraces new and emerging research ideas about adaptivity are also welcome. Topics ====== Topics include but are not limited to the following: - Foundations of Adaptivity: notation, complexity, properties or comparison of models, automata, graphs and other auto-modifiable devices. - Adaptive Technologies: tools, methods and techniques that allows the application of adaptivity in several contexts (such as languages, software engineering, programming,etc). - Applications of Adaptivity to: artificial intelligence, networks, natural computing, automation, games, simulation, signal processing, computer art, etc Paper format and submission =========================== Authors are requested to submit their papers electronically using the online conference management system (EasyChair) in PDF format before the deadline (link available in the workshop page). The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS Word Template, Latex, Template Generic, Elsevier (available for download in the workshop page). Submitted technical papers must be no longer than 6 pages including all figures, tables and references. All accepted papers will be scheduled for oral presentations and will be included in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series on-line. At least one author of each accepted paper is required to register and attend the conference to present the work. Important dates =============== Paper Submission:(*) January 7, 2018 Acceptance Notification:(*) February 16, 2018 Camera Ready:(*) March 01, 2018 WAT 2018: May 9-11, 2018 (*) Updated. ===================================== Unsubscribe computational.science(a)lists.iccsa.org from this list: https://usp.us2.list-manage.com/unsubscribe?u=e2bd2dfe2bca5a783c68a77df&id=…

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CFP: The 3rd IEEE Cyber Science and Technology Congress (CyberSciTech 2018) - 12-15 August 2018
by Xiaokang Zhou 14 Dec '17

14 Dec '17

[Our apologies if you receive multiple copies of this CFP] ------------------------------------------------------------------------------------------------------------------------------------ The 3rd IEEE Cyber Science and Technology Congress (CyberSciTech 2018) http://cyber-science.org/2018/ Athens, Greece, 12-15 August 2018 Cyber Science for Cyber-enabled New Worlds INTRODUCTION --------------------- The modern digitized world has led to the emergence of a new paradigm on global information networks and infrastructures known as Cyberspace, which bring seamless integration of physical, social and mental spaces. Cyberspace is becoming an integral part of our daily life from learning and entertainment to business and cultural activities. To address these emerging challenges, there is a need to establish new science and research portfolios that incorporate cyber-physical, cyber-social and cyber-mental technologies together in a coherent manner to deliver the vision of Cyberspace. This is the aim of the IEEE Cyber Science and Technology Congress (CyberSciTech), which was successfully held first in Auckland (New Zealand) in 2016 and then in Orlando (USA) in 2017. IEEE CyberSciTech 2018 is to continually offer a common platform for scientists, researchers and engineers to share their latest ideas and to exchange the latest developments and outcomes in their research and technologies, with a broad scope of cyber-related science, technology and application topics to understand and shape cyber-enabled new worlds. IMPORTANT DATES -------------------------- Workshop Proposal Due: Feb. 10, 2018 Regular Paper Submission Due: Mar. 30, 2018 Wksp/SS/Poster Paper Due: Apr. 30, 2018 Authors Notification: May 20, 2018 Camera-ready Submission: June 15, 2018 SCOPE AND TRACKS -------------------------- Regular Tracks Track 1: Cyberspace & Cyber Security Track 2: Cyber Physical Computing & Systems Track 3: Cyber Social Computing & Networks Track 4: Cyber Intelligence, Life & Mind Work-in-Progress Track Report on early or ongoing research activities within the scope of CyberSciTech Poster/Demo Track Describe a vision, technique or working system within the scope of CyberSciTech SUBMISSION GUIDELINES ---------------------------------- Authors are invited to submit their original work that has not previously been submitted or published in any other venue. Regular, work-in-progress (WiP), workshop/special session, poster papers all need to be in IEEE CS format and submitted following the same instruction on the CyberSciTech 2018 congress website (http://cyber-science.org/2018). A regular paper is between 6-8 pages. A WiP, workshop, or special session paper should be between 4-6 pages and a poster paper should be between 2-4 pages. -- Xiaokang Zhou (周暁康), Ph.D. Faculty of Data Science The Center for Data Science Education and Research, Shiga University 1-1-1 Banba, Hikone, Shiga 522-8522, Japan Email: zhou(a)biwako.shiga-u.ac.jp Phone: +81-749-27-1290

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Recruitment - PhD Interns on CPS Security at SUTD, Singapore
by Zhou Jianying 14 Dec '17

14 Dec '17

Singapore University of Technology and Design (SUTD) is a young university which was established in collaboration with MIT. iTrust is a Cyber Security Research Center with about 15 multi-discipline faculty members from SUTD. It has the world's best facilities in cyber-physical systems (CPS) including testbeds for Secure Water Treatment (SWaT), Water Distribution (WADI), Electric Power and Intelligent Control (EPIC), and IoT. (See more info at https://itrust.sutd.edu.sg/research/testbeds/.) I am looking for PhD interns with interest in cyber-physical system security (IoT, water, power grid, transportation, and autonomous vehicle etc.). The attachment will be at least 3 months. Allowance will be provided for local expenses. Interested candidates please send your CV with a research statement to Prof. Jianying Zhou. Contact: Prof. Jianying Zhou Email: jianying_zhou(a)sutd.edu.sg Home: http://jianying.space/ This email may contain confidential and/or proprietary information that is exempt from disclosure under applicable law and is intended for receipt and use solely by the addressee(s) named above. If you are not the intended recipient, you are notified that any use, dissemination, distribution, or copying of this email, or any attachment, is strictly prohibited. Please delete the email immediately and inform the sender. Thank You

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Recruitment - Postdoc / Research Fellow on CPS Security at SUTD, Singapore
by Zhou Jianying 14 Dec '17

14 Dec '17

Singapore University of Technology and Design (SUTD) is a young university which was established in collaboration with MIT. iTrust is a Cyber Security Research Center with about 15 multi-discipline faculty members from SUTD. It has the world's best facilities in cyber-physical systems (CPS) including testbeds for Secure Water Treatment (SWaT), Water Distribution (WADI), Electric Power and Intelligent Control (EPIC), and IoT. (See more info at https://itrust.sutd.edu.sg/research/testbeds/) I am looking for postdocs / research fellows with expertise on cyber-physical system security, especially on the legacy CPS protection. The candidates should have track record of strong R&D capability, be able to perform deep system-level investigations of security mechanisms, be a good team player, and also have good written/oral communication skills. The position will provide an excellent opportunity to perform both basic and translational research in close collaboration with industry. Successful candidates will be offered internationally competitive remuneration, and enjoy high-quality living and low tax rates in Singapore. Interested candidates please send your CV with a research statement to Prof. Jianying Zhou. Contact: Prof. Jianying Zhou Email: jianying_zhou(a)sutd.edu.sg Home: http://jianying.space/ This email may contain confidential and/or proprietary information that is exempt from disclosure under applicable law and is intended for receipt and use solely by the addressee(s) named above. If you are not the intended recipient, you are notified that any use, dissemination, distribution, or copying of this email, or any attachment, is strictly prohibited. Please delete the email immediately and inform the sender. Thank You

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2025

2024

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computational.science December 2017