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
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
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.
********************************************************************************************************************
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/
=====================================================================
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)!
=====================================================================
*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>*
*** 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
------------------------ 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.
----------------------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).