computational.science

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Last call for join to CVML live Web lecture series: Web lecture 'Fast Convolution Algorithms for deep learning and computer vision', 14th December 2019, 11:00 EET
by ioannakoroni＠csd.auth.gr 11 Dec '19

11 Dec '19

Dear Computer vision/machine learning, students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, AUTH is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Top scientists internationally will deliver these lectures, aiming at providing in-depth knowledge on various CVML topics. The 1-hour lectures will take place on Saturdays, to avoid conflicts with other intended registrant schedules/duties: a) Saturdays 11:00 EET (17:00 Beijing time) and b) Saturdays 20:00 EET (13:00 EST, 10:00 PST for NY/LA, respectively) for audience in the Americas. Each lecture will be announced at least 1 week in advance in various relevant email lists and in the www page: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. The first web lecture on 'Fast Convolution Algorithms for deep learning and computer vision' by Professor Ioannis Pitas (see attached abstract and CV), will take place on 14th December 2019, 13:00 EET only. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Fast convolution algorithms for computer vision and machine learning 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs) Therefore, 1D/2D/3D convolution algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^2), O(N^4) and O(N^6) respectively their fast execution is a must. This lecture will overview linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Finally, optimal Winograd 1D and 2D convolution algorithms will be presented having theoretically minimal number of computations. Emphasis will be on 1D convolution algorithms, as there will be another lecture on 2D convolution algorithms soon. Prof. I. Pitas was lucky to have done his PhD degree on fast convolution algorithms more than 30 years ago. Now this topic re-emerged as key technology for deep learning and computer vision, primarily to address fast CNN training and inference, thanks to advances primarily in GPU programming, but also in multicore CPU programming. Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el AIIA Lab www.aiia.csd.auth.gr <http://www.aiia.csd.auth.gr>

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Post-doctoral Position in Cyber Security - H2020 FORESIGHT
by Xavier Bellekens 11 Dec '19

11 Dec '19

Dear All, ** Sorry for cross posting ** We have a position for a post-doctoral Research Associate opened at the University of Strathclyde, Glasgow, Scotland in the Institute of Sensors, Signals and Communications. The position is part of the Horizon 2020 FORESIGHT project addressing the creation of a federated cyber-range platform for simulation and training of critical infrastructure operators (Naval, Avionics, Power) against complex cyber-attacks. We invite highly skilled, enthusiastic and ambitious researchers with a background in cyber-security, machine learning to apply ! The closing date for applications is the 13th of January 2020. https://academicpositions.co.uk/ad/university-of-strathclyde/2019/research-… Feel free to share with anyone that might be interested or to contact me at xavier.bellekens [at] strath.ac.uk<http://strath.ac.uk> for further information on the role. Kind Regards, Xavier — Dr Xavier Bellekens Lecturer - Chancellor’s Fellow Department of Electronic and Electrical Engineering University Of Strathclyde, Royal College Building 204 George Street, Glasgow G1 1XW Scotland Mobile: +44 (0) 7548 71 7049 email : xavier.bellekens(a)strath.ac.uk Special Issue : MDPI Information Special Issue on Machine Learning for Cyber Security http://www.mdpi.com/journal/information/special_issues/ML_Cybersecurity

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Jan 2020 Issue of IJHCITP(Web of Science & SCOPUS Indexed)
by Sanjay Misra 10 Dec '19

10 Dec '19

International Journal of Human Capital and Information Technology Professionals (IJHCITP) Editor-in-Chief: Sanjay Misra <https://www.igi-global.com/affiliate/sanjay-misra/346944/> (Covenant University, Nigeria) Indexed In: Web of Science Emerging Sources Citation Index (ESCI), SCOPUS, INSPEC and 9 more indices <https://www.igi-global.com/journal/international-journal-human-capital-info…> Published: Quarterly |Established: 2010 ISSN: 1947-3478|EISSN: 1947-3486|DOI: 10.4018/IJHCITP Description The *International Journal of Human Capital and Information Technology Professionals (IJHCITP)* focuses on the IT field from the outlook of industry professionals and covers multidisciplinary themes such as human resource management, sociology, psychology, and management along with technology itself. Representing IT professionalism from the human capital point of view, the journal publishes original research papers, research notes, reviews, and cases on all aspects of IT professionalism, technology-related careers, personnel empowerment, organizational management and cutting edge technologies affecting IT practitioners. This journal emphasizes articles linking theory with application or critically analyzing cases with the objective of identifying good practice in the management of IT human capital. Topics Covered - Competence management within the IT profession - Ethics, as well as professional and social responsibilities of IT professionals - Human capital within the IT industry - Human resource management in the IT sector - IT careers - IT personnel in new production environments (software factories, offshoring, and nearshoring) - IT profession - IT professional associations - IT professionalism - IT professionals assessment methods - IT professionals roles - IT professionals under the scope of IT governance - Licensing and certifying of IT professionals - Mentoring, coaching, and counseling of IT professionals - Personnel issues in IT standards, models, and frameworks - Recruiting, staffing, retaining, and rewarding IT professionals Mission and ScopeThe mission of the *International Journal of Human Capital and Information Technology Professionals (IJHCITP)* is to offer an outlook on the state of the IT profession from the perspective of economic value based on labor performance. Providing a forum for the exchange of research ideas and practices, this journal is a reference convergence point for professionals, managers, and researchers in the IT field. Table of Contents and List of Contributors Search this Journal: Reset Open Access Articles Volume 11: 4 Issues (2020): 1 Released, 3 Forthcoming Volume 11, Issue 1 Article 1 Employer Branding Practices Amongst the Most Attractive Employers of IT and Engineering Sector <https://www.igi-global.com/article/employer-branding-practices-amongst-the-…> (pages 1-16) Lea Gregorka, Susana Silva, Cândida Silva Employer branding is a marketing strategy that helps employers stay competitive in their markets. Although it is a concept used for over 20 years, its process and co...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239591&ptid=227328&t=Emp…> $37.50 This item has been added to your shopping cart. Check out <https://www.igi-global.com/shopping-cart/> | Continue Shopping Article 2 Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal <https://www.igi-global.com/article/fuzzy-driven-decision-support-system-for…> (pages 17-30) Oluwasefunmi 'Tale Arogundade, Bolanle Ojokoh, Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Babatope Sunday Adeniyi Employee performance appraisal is often considered a core management task in most standard organizations because it could potentially inspire an employee towards the...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239592&ptid=227328&t=Fuz…> $37.50 Article 3 Information Technology Governance in a Higher Education Institution: An IT Professionals' Perception Analysis <https://www.igi-global.com/article/information-technology-governance-in-a-h…> (pages 31-46) Rodrigo Franklin Frogeri, Daniel Jardim Pardini, Gustavo Rodrigues Cunha This study characterizes and analyzes information technology governance in a Brazilian institution of higher education. The methodological aspects included the quant...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239593&ptid=227328&t=Inf…> $37.50 Article 4 Investigating the Mediating Role of Knowledge Sharing on Employee Engagement: Evidence from a Developing Nation <https://www.igi-global.com/article/investigating-the-mediating-role-of-know…> (pages 47-63) Ibrahim M. Al-Jabri This article proposes a research model that explores the social factors affecting knowledge sharing and employee engagement and examines the mediating role of knowle...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239594&ptid=227328&t=Inv…> $37.50 Article 5 IT-Governance Framework Considering Service Quality and Information Security in Banks in India <https://www.igi-global.com/article/it-governance-framework-considering-serv…> (pages 64-91) Ranjit Singh, Bhartrihari Pandiya, Chandra Kant Upadhyay, Manas K Singh This study proposes an IT-Governance framework for the Indian Banking Industry. This research explores the factors predicting customer loyalty in retail banking. The...Sample PDF <https://www.igi-global.com/viewtitlesample.aspx?id=239595&ptid=227328&t=IT-…> $37.50

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[Journals] Call For Papers- Journal of Real Time Image Processing
by Pourya Shamsolmoali 10 Dec '19

10 Dec '19

Special Issue on Advances in Deep Learning for Real-Time Image and Video Reconstruction and Processing (ADLIR) Journal of Real-Time Image Processing This Special Issue opens to innovative ideas, the latest research and development of deep learning for real-time image and video processing. Papers on the design of new computational tools and methods for real-time image and video reconstruction and processing are welcome. Hence, the target of this special issue is to provide a forum for researchers to focus on computational methods for real-time image reconstruction and processing. To do this, we invite papers (including survey papers) in modeling, algorithm, software optimization, and application of deep learning-based real-time image processing to establish the latest efforts of relevant researchers. [ https://www.springer.com/journal/11554/updates/17230436 | https://www.springer.com/journal/11554/updates/17230436 ] The list of possible topics, but are not limited to: * Real-time image and video reconstruction algorithms * Real-time face reconstruction from depth images * New deep learning models for real-time image reconstruction and processing * New objective functions of deep learning for real-time image reconstruction * Real-time MRI and X-ray image processing * Real-time 3D image reconstruction, processing or segmentation * Deep learning and hybrid models for real-time computational methods * Optimization algorithms for real-time image and video reconstruction and processing * Survey /review of deep learning in real-time image reconstruction and processing Submission Guideline: Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least three independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Manuscripts are requested according to the Guide for Authors available from the online submission page of the Journal of Real-Time Image Processing (JRTIP) at [ https://www.editorialmanager.com/rtip/default.aspx | https://www.editorialmanager.com/rtip/default.aspx ] . We invite prospective authors to submit their manuscript, via the online submission system on the main journal page. Please make sure you mention in your cover letter that you are submitting to this special issue (ADLIR). Important Dates: * Paper submission due: March 31, 2020 * First notification: May 31, 2020 * Revision submission due: July 15, 2020 * Final decision: September 30, 2020 * Publication date: October 2020 (Tentative) Note: accepted papers are made available online soon after acceptance.

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CFP for SPTI Track of ICCCN 2020
by Qin Liu 10 Dec '19

10 Dec '19

******************************************************************************************************************** We apologize if you receive multiple copies of this CFP for SPTI Track of ICCCN 2020 We appreciate your great help if you forward this CFP for SPTI Track of ICCCN 2020 to your colleagues and friends. ******************************************************************************************************************** Call for Papers for the Security, Privacy, Trust and Incentives Track (SPTI) of the 29th International Conference on Computer Communications and Networks (ICCCN 2020) Venue & Dates: Honolulu, Hawaii, USA, August 3 - August 6, 2020 Conference Website: http://www.icccn.org/icccn20/index.html Introduction Recent advances in computer communications and networking techniques in technologies such as, Internet of Things, 5G, AI, etc., has resulted in emerging challenges in realizing security, privacy, trust and incentives. There is a need to develop protocols and systems that can preserve security and trust, without violating privacy and providing incentives to participate and collaborate. The 'Security, Privacy, Trust and Incentives' (SPTI) track of the 29th International Conference on Computer Communications and Networks (ICCCN), welcomes submissions of original papers from researchers and practitioners working in the fields of security, privacy, and trusted systems as well as incentive mechanisms. The track seeks novel contributions on algorithm and system design, implementation, and evaluations. Track Topics of interest include but not limited to: -Anonymization and privacy -Blockchain based decentralized trust management -Cloud security -Computer and network forensics -Data and application security -Information hiding and watermarking -Incentives and game theory -IoT Security -Private information retrieval -Privacy-preserving trust management -Smart cards and secure hardware -Trust and reputation models -Vulnerability, exploitation tools, and virus/worm analysis Submission and Publication Information Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via EasyChair (https://easychair.org/conferences/?conf=icccn2020) as PDF files (formatted for 8.5×11-inch paper). The manuscripts should be no longer than 9 pages. Up to two additional pages are permitted if the authors are willing to pay extra charge at the time of publication (manuscripts should not exceed 11 pages in total in IEEE format). Submitted papers should not be previously published in or be under consideration for publication in another conference or journal. Paper titles and/or author names cannot be changed and/or added to the papers once papers are submitted to ICCCN 2020 for review. The Program Committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail addresses. Note: If a submission is not accepted as a regular paper, it may be accepted as a "short paper". All accepted papers will be considered for the Best Paper Award. The paper’s abstract must be registered on EasyChair by the deadline indicated below. Important Dates Paper Submission Due: March 2nd, 2020 Acceptance Notification: April 27th, 2020 Camera-Ready Due: May 11th, 2020 TPC List: -Deepak Tosh, University of Texas at El Paso, USA -Uttam Ghosh, Vanderbilt University, USA -Amin Hassanzadeh, Accenture Technology Lab, USA -Lei Ding, Accenture Technology Lab, USA -Kaiqi Xiong, University of South Florida, USA -Sarada Prasad, Old Dominion University, USA -Mohammad Wazid, Mainpal Institute of Technology, India -Danda Rawat, Howard University, USA -Charles Kamhoua, Army Research Lab, USA -Kimberly Gold, Naval Surface Warfare Center, USA -Saman Zonouz, Rutgers University, USA -Saad Bani-Mohammad, Al al-Bayt University, Jordan -Anupam Chattopadhyay, Nanyang Technological University, Singapore -Alfredo Cuzzocrea, University of Calabria, Italy -Sabrina De Capitani di Vimercati, University of Milan, Italy -Ryan Ko, University of Queensland, Australia -Giovanni Livraga,University of Milan, Italy -Günther Pernul, University of Regensburg,Germany -Vincenzo Piuri, University of Milan,Italy -Luis Javier García Villalba, Universidad Complutense de Madrid, Spain -Muneer Masadeh Bani Yassein, Jordan University of Science and Technology, Jordan -Xin Liao, Hunan University, China -Tao Peng, Guangzhou University, China -Xin Yao, Central South University, China Contact Please email inquiries concerning SPTI Track of ICCCN 2020 to: Qin Liu, Hunan University, China; gracelq628(a)hnu.edu.cn; gracelq628(a)126.com Sachin Shetty, Old Dominion University, USA; sshetty(a)odu.edu -- Dr. Qin Liu College of Computer Science and Electronic Engineering Hunan University Changsha, Hunan Province,P.R. China, 410082 Mobile: +86-13548577157 Email: gracelq628(a)hnu.edu.cn; gracelq628(a)126.com Homepage: http://res.hnu.edu.cn/hbs/lq/

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Final CFP: The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020)
by Bahman Javadi 09 Dec '19

09 Dec '19

===================================================================== The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020) May 11-14, 2020, Melbourne, Australia Website: http://cloudbus.org/ccgrid2020/ Deadline Note: We will let authors to update their papers in EasyChair up to one week after the submission deadline, i.e., up to December 17th, 2019. So, please create account and submit your current version to take advantage of this. ===================================================================== Call for Papers Tremendous advances in processing, communication and systems/middle-ware technologies are leading to new paradigms and platforms for computing, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and ACM (Association for Computing Machinery), with the overarching goal of bringing together international researchers, developers, and users and to provide an international forum to present leading research activities and results on a broad range of topics related to these platforms and paradigms and their applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2020 conference. In 2020, CCGrid will return to Melbourne, Australia, to celebrate its 20th anniversary. CCGrid 2020 will have a special focus on three important issues that are significantly influencing all aspects of Cluster, Cloud, and Internet computing: Adaptive Elastic Computing, Green Computing, and Cyber-Physical Computing. Topics of interest include, but are not limited to: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, etc. More decentralized approaches to cloud computing. Edge/fog/mist computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs. Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques. Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Cyber-Security and Privacy: Cloud security and trust. Access control. Data privacy and integrity. Regulation. Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc. Applications to real and complex problems in science, engineering, business and society. User studies. Experiences with large-scale deployments systems and data science applications. Distributed AI/Machine Learning on the cloud. Data streaming analytics for intelligent transportation systems. ------------------------------------------------------------------- Chairs and Committees ------------------------------------------------------------------- General Chair: Rajkumar Buyya, University of Melbourne, Australia. General Vice Chairs: Dhabaleswar Panda, Ohio State University, USA Jin Hai, Huazhong University of Science and Technology, China Massimo Villari, The University of Messina, Italy Program Committee Co-Chairs: Carlos A Varela, RPI, USA Laurent Lefevre, INRIA, France Workshops Co-Chairs: George Pallis, The University of Cyprus, Cyprus Borja Sotomayor, The University of Chicago, USA Doctoral Symposium Chairs : Anne-Cecile Orgerie, Inria, France Ivan Rodero, The State University of New Jersey, USA Posters Co-Chairs : Hari Subramoni, Ohio State University, USA Joanna Kolodziej, National Research Institute (NASK), Poland Student Travel Awards Chair: Lena Mashayekhy, University of Delaware, USA SCALE Challenge Chair : Yogesh Simmhan, Indian Institute of Science, India Research/Product Demonstrations Chairs : Rodrigo Calheiros, Western Sydney University, Australia Proceedings Co-Chair : Omer Rana, Cardiff University, UK Adel N. Toosi, Monash University, Australia Publicity Co-Chairs: Jithin Jose, Microsoft, USA Stefan Schulte, Vienna University of Technology, Austria Bahman Javadi, Western Sydney University, Australia Mohsen Amini, The University of Louisiana at Lafayette, USA Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Cyber Chair : Mohammad Goudarzi, The University of Melbourne, Australia Important Dates Paper Due: 10 December 2019 ***see note below** Acceptance Notification: 30 January 2020 Camera Ready Papers Due: 25 February 2020 Note: We will let authors to update their papers in EasyChair up to one week after the submission deadline, i.e., up to December 17th, 2019. (Time zone: anywhere in the world)! =====================================================================

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Data-Driven Security Workshop (DDSW 2020)
by DDSW 2020 08 Dec '19

08 Dec '19

*Dear Sir/Madam,* *[*** **Apologies if you received multiple emails for this call of paper * ****]* *Call for Paper* *International Workshop on Data-Driven Security (DDSW 2020)* *In conjunction with* *The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40)* *Warsaw, Poland April 6 - 9, 2020* *http://www.just.edu.jo/~qmyaseen/ddsw2020/ddsw2020.html* <https://contactmonkey.com/api/v1/tracker?cm_session=d40aebec-5fb7-43e2-a114…> Data breaches are a daily occurrence, where adversaries attack consumers, corporations, and governments. Moreover, data breaches are growing tremendously due to the immense growth of the backbones of commerce and critical infrastructure, and interconnectivity of networks. The skills of adversaries are improving, and the number and severity of attacks are increasing, which make known security countermeasures suffer. While much research focuses on technical, business or compliance aspects, there is an increasing need for new security solutions to protect assists other than traditional approaches. This workshop focuses on new security techniques that use machine learning, data mining and statistics analytical techniques to solve nowadays security challenges. The workshop will focus on, but is not limited to, the following areas: - Data Mining techniques for Security - Machine Learning for Security - Statistics for Security - Analysis of identified vulnerabilities - Analysis of successful attacks or attack attempts - Diverse aspects of security analytics - Tools for security analytics - Security analytics data *Submission of Papers* Original, unpublished papers are solicited for presentation at the DDSW workshop. Prospective authors are invited to submit papers (electronically, PDF only) that are no longer than 6 pages for full papers, including all figures and references, and must be formatted according to the conference guidelines found at: http://csconferences.acadiau.ca/EDI40-20/#paperSubmissions <https://contactmonkey.com/api/v1/tracker?cm_session=d40aebec-5fb7-43e2-a114…> . Please use the link https://easychair.org/my/conference?conf=ddsw2020 <https://contactmonkey.com/api/v1/tracker?cm_session=d40aebec-5fb7-43e2-a114…> to submit your paper. *Important Dates* - Submission Deadline: January 15,2020 - Notification: February 1, 2020 - Camera Ready: February 10, 2020 *Please send any inquiry on DDSW 2020 to: DDSW2020(a)gmail.com <DDSW2020(a)gmail.com>*

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HPCES 2020 -- Submission Deadline Extension (to January 6)
by Dominik Bartuschat 08 Dec '19

08 Dec '19

*** CALL FOR PAPERS -- Submission Deadline Extension *** Tenth International Workshop on Advances in High-Performance Computational Earth Sciences: Applications and Frameworks (IHPCES 2020) https://www.cspp.cc.u-tokyo.ac.jp/IHPCES2020/ Dear colleagues, IHPCES 2020, the 10th workshop in the series of "Advances in High-Performance Computational Earth Sciences" workshops, will take place in conjunction with the ICCS 2020 Conference in Amsterdam, The Netherlands, from June 3-5, 2020. The objective of this series of workshops is to provide a forum for presentation and discussion of state-of-the-art research in high performance computational earth sciences. IHPCES workshops foster communication between Earth scientists, applied mathematicians, and computer scientists. The workshop therefore presents a unique opportunity to exchange advanced knowledge, computational methods, and science discoveries in computational geosciences. Specific topics of interest include, but are not limited to: Large-scale simulations on supercomputing systems in earth sciences Advanced modeling and simulations on natural disaster prevention and mitigation Advanced numerical methods for high performance computational earth sciences Parallel and distributed algorithms and programming strategies for supercomputers Software engineering for parallel systems with multi-core processors and accelerators Algorithms for Big Data analytics and applications for large-scale data processing Methodologies and tools designed for extreme-scale computing We welcome full (up to 14 pages) and short (up to 7 pages) papers in Springer LNCS format (we do not accept "Abstract Only" submissions). All accepted papers will appear in the conference proceedings of ICCS2020, published by Springer in its LNCS series. Important dates: January 6, 2020 Paper Submission Due February 14, 2020 Author Notification March 6, 2020 Camera-Ready Papers IHPCES 2020 co-chairs: Takashi Shimokawabe - The University of Tokyo, Japan Kohei Fujita - The University of Tokyo, Japan Dominik Bartuschat - University of Erlangen-Nuernberg, Germany Program committee (tentative): Hideo Aochi - Bureau de Recherches Geologiques et Minieres, France Joern Behrens - University of Hamburg, Germany Xing Cai - Simula Research Laboratory/University of Oslo, Norway Yifeng Cui - San Diego Supercomputer Center, USA Takeshi Fukaya - Hokkaido University, Japan Takashi Furumura - University of Tokyo, Japan Lutz Gross - University of Queensland, Australia Johannes Langguth - Simula Research Laboratory, Norway Osni Marques - Lawrence Berkeley National Laboratory, USA Hiromichi Nagao - The University of Tokyo, Japan Kengo Nakajima - The University of Tokyo, Japan Kenji Ono - Kyushu University, Japan Olaf Schenk - Universita della Svizzera Italiana, Switzerland Osamu Tatebe - University of Tsukuba, Japan Peng Wang - NVIDIA, USA Mei Wen - National University of Defense Technology, China Huilin Xing - University of Queensland, Australia We are looking forward to your contributions to IHPCES 2020. With best regards, Dominik Bartuschat on behalf of the IHPCES 2020 co-chairs

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CFP: The 2nd Int. Conference on Deep Learning, Big Data and Blockchain
by Deep-BDB 06 Dec '19

06 Dec '19

------------------------ Call for Papers ----------------------------- The 2nd International Conference on Deep Learning, Big Data and Blockchain (DEEP-BDB 2020) 24-26 August 2020, Rome, Italy http://www.ficloud.org/deep-bdb/ ----------------------------------------------------------------------- Deep 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. All such fields produce and consume massive amount of big data, which include, for example, online commerce data (marketing data, customer reviews, customer relationship), transportation data (road sensors, cameras, GPS), and data about healthcare, social media, and various other applications. Deep learning techniques and big data techniques yield useful outputs in predicting, discovering and acquiring insights and deeper knowledge about events for better and efficient decision making. The groundbreaking technology of blockchain technology also enable decentralization, immutability, and transparency of data and applications. It has been exploited in modern research and industrial domains in order to achieve high level of trust, security and reliable execution of applications and data which are shared across a network of computers. The International Conference on Deep Learning, Big Data and Blockcain (DEEP-BDB) aims to enable synergy between these areas and to provide 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 focuses on specific challenges in deep (and machine) learning, big data and blockchain. Topics of interest include (but not limited to): - Deep/Machine learning based models - Statistical models and learning - 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 - Security threat detection - Visualizing security threats - Enhancing privacy and trust - Data mining; Information extraction; - Sentiment analysis - Data classification and clustering - Knowledge acquisition and learning - Clustering, classification and regression - Supervised and unsupervised learning - Blockain security and trust - Blockchain data management - Data & application reliability - Blockchain and data distribution - Blockain and finacial transactions - Blockchain and Bitcoin applications - Blockain and NoSQL databases - Protocols for blockchain - Cryptography, Cryptocurrency - Fraud detection and prevention - Blockchain and Internet of Things - Scalability of blockchains Application areas: - Finance, business and retail - Intelligent transportation - Healthcare and clinical decision support - Bioinformatics and biomedical informatics - Computer vision - Human activity recognition - Cybersecurity - Natural language processing - Recommender systems - Social media and networks Important Dates: Submission Deadline: 12 March 2020 Authors Notification: 20 May 2020 Final Manuscript Due: 15 June 2020 Paper Submission: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 4-6 pages. Papers should be prepared using IEEE two-column template. 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. All papers accepted for this conference are peer-reviewed and are to be published in the conference proceedings by Conference Publishing Service (CPS). Submition of papers are done through the EasyChair submission system. See conference website for further details.

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CFP: The 8th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2020)
by FiCloud Conference 06 Dec '19

06 Dec '19

----------------------Call for Papers ------------------------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2020) 24-26 August 2020, Rome, Itlay http://www.ficloud.org/2020/ Technical co-sponsorship: IEEE-CS TCI --------------------------------------------------------------------------------------- Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 12 March 2020 Authors Notification: 20 May 2020 Final Manuscript Due: 15 June 2020 Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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