[UAI] Call for Workshop Proposals -- IEEE PerCom 2022

[Mirko Nardi]

* Important Dates *

- Workshop proposal submission deadline: July 2nd, 2021
- Notification: July 26th, 2021

IEEE PerCom is the premier annual scholarly venue in pervasive computing and
communications. Pervasive computing has not only been a vivid research area,
but also found its way into many commercial and consumer systems and
applications due to tremendous advances in a broad spectrum of technologies
and topics such as wireless networking, mobile and distributed computing,
sensor and actuator systems, ambient intelligence, and smart mobile and
embedded devices. Due to the pervasiveness of such systems, users become
central in the development and realization of innovative pervasive systems.
Advances in all these fields have led to innovative platforms,
protocols, systems, and applications but still a lot can be done to improve
their
quality, sustainability and acceptance.

In 2022, PerCom will be held in Pisa, which is known for its precious gothic
and renaissance-style buildings including the world-famous leaning tower as
well as art and culture in general. Currently, PerCom 2022 is planned as a
hybrid event, partly in presence, partly virtual, with the option to adapt
to the dynamic pandemic situation.

The PerCom 2022 Organizing Committee invites proposals for one-day or
half-day workshops, to be held prior to or immediately after the main
conference. The purpose of the workshops is to stimulate discussions on
state-of-the-art, emerging, visionary, and also controversial topics.
Workshops should be organized to promote lively interaction, and plans to
promote interaction and discussion must be clearly addressed in the written
workshop proposals. The organizers of accepted workshops are required to
publicize the workshop through disseminating the call for papers, solicit
submissions, conduct the reviewing process, and decide upon the final
workshop program. At least one organizer must be physically present at the
workshop. We are aware that the possibility to visit Pisa depends on the
future pandemic situation and of course only applies under the assumption
that PerCom can take place as a hybrid event (at least partially in
presence).
So organizers should plan on a best-effort basis, possibly including
organizers from different locations, for instance, to limit the risk of
travel restrictions.

Workshop proposals are solicited in all areas and topics pertaining to
research and applications in pervasive computing and communications.
Workshops
addressing new emerging research directions in pervasive computing and
communication are especially welcome. Further, workshops with novel formats,
e.g., focused on a specific topic in a tutorial-style fashion, are strongly
encouraged. Workshop papers will be included and indexed in the IEEE digital
library (Xplore). The page limit for accepted regular workshop papers is 6
pages, including all figures, tables, and references.

* Workshop Proposal Submission Instructions *

Workshop proposals should be submitted (in PDF format) no later than

  July 2nd, 2021

by e-mail to

  percom2022-worksh...@iit.cnr.it

with "PerCom 2022 Workshop Proposal" in the subject.

Each workshop proposal must include:

1. The workshop title and acronym.

2. The name, address, and a short bio of up to 200 words for each of the
workshop organizers; workshops may have up to three organizers. It is
strongly
recommended that organizers belong to at least two different institutions.

3. A brief description (up to 2 pages) of

a) the technical issues that the workshop will address,
b) the reasons the workshop is of interest to the PerCom community,
c) a description of the communities/groups the workshop aims to attract,
d) a short discussion of related workshops and conferences and an outline
of why the proposed workshop is unique.

4. The planned format of the workshop (e.g., keynotes, paper presentations,
posters, demos) and duration (e.g., one-day, half-day). You must also
provide
a well-defined strategy to facilitate lively and interactive discussions. In
your plan, please also consider the hybrid or (depending on the situation)
fully virtual format and outline, how you could support an engaging
workshop.
You can also take advantage of the infrastructure provide by PerCom (Zoom,
GatherTown, Slack, etc.)

5. A description of past editions of the workshop (if the workshop had
already been held before), including the number of submitted and accepted
papers and number of attendees. Please also address any differences
between the proposed edition of the workshop and the previous edition(s).
OR, if the workshop is new, an estimate of the expected number of submitted
and accepted papers, and of the expected number of attendees.

6. A description of the publicity plan.

7. The names of potential program committee members.

8. The workshop website address.

Tentative dates for workshop paper submission and notification
(*not* to be confused with the earlier dates for submitting workshop
proposals

[UAI] [jobs] Postdoctoral Research Associate in Generative Adversarial Network (GAN)

[Ardhendu Behera]

Dear Colleagues and Friends,

** Apologies for cross-posting **

Applications are invited for a full-time Postdoctoral Research
Associate (PDRA) position in GAN/deep learning for the early detection
of pancreatic cancer funded by Cancer Research UK, Pancreatic Cancer
UK and EPSRC, with project partners at the University College London
(UCL), Queen Mary University of (QMUL), Manchester Metropolitan
University (MMU) and the University of Hertfordshire (UH).

The post-doc will work on an exciting, cross-disciplinary
collaborative project to develop advanced GAN models to generate
plausible hypotheses (Deadline 11th July 2021). The detailed
application procedure can be found here:
https://jobs.edgehill.ac.uk/Vacancy.aspx?ref=EHR0095-0621

Informal enquiries may be addressed to behe...@edgehill.ac.uk (Ardhendu Behera).

Some of our recent publications are:
1. Attend and Guide (AG-Net): A Keypoints-Driven Attention-Based Deep
Network for Image Recognition. IEEE Transactions on Image Processing
2021.
2. Context-aware Attentional Pooling (CAP) for Fine-grained Visual
Classification. In AAAI 2021.
3. Attentional Learn-able Pooling for Human Activity Recognition. IEEE
ICRA 2021.
4. Coarse Temporal Attention Network (CTA-Net) for Driver’s Activity
Recognition. In IEEE/CVF WACV 2021.
5. Orderly Disorder in Point Cloud Domain. In ECCV 2020
6. Unsupervised Monocular Depth Estimation for Night-time Images using
Adversarial Domain Feature Adaptation. In ECCV 2020
7. Rotation Axis Focused Attention Network (RAFA-Net) for Estimating
Head Pose. In ACCV 2020.
8. Regional Attention Network (RAN) for Head Pose and Fine-grained
Gesture Recognition. IEEE Transactions on Affective Computing 2020.
9. Deep CNN, Body Pose and Body-Object Interaction Features for
Drivers' Activity Monitoring. IEEE Transactions on Intelligent
Transportation Systems 2020.
10. Attention-driven Body Pose Encoding for Human Activity
Recognition. In ICPR 2020

Many thanks and kind regards,
Ardhendu
--
Dr Ardhendu Behera
Reader (Associate Professor) in Computer Vision & AI
Department of Computer Science
Edge Hill University, Ormskirk, Lancashire, L39 4QP
https://www.edgehill.ac.uk/computerscience/
E-mail: behe...@edgehill.ac.uk
T: +44 (0) 1695 65 7270
---

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[UAI] Call for Chapters: Recent Advances in Autonomous Vehicles and Systems (AVS)

[Ishwar Sethi]

The field of autonomous vehicles and systems (AVS) have been evolving
rapidly with numerous advances continually reported. The contributions to
this field come from a variety of disciplines making it a truly
multidisciplinary area of research and development. The aim of this book is
to gather at a single source the state-of-the-art information for
practitioners of this field as well as for those who are beginning to
explore this field with potential to create a huge impact on the society.

The book will be published under the Automation, Control and Robotics
System Series, by River Publishers. Contributions to the book in the form
of book chapters are invited on the following and related topics:
1. Brief History
2. AI and deep learning for AVS
3. Embedded Computing
4. Sensors and sensor systems for AVS
5. Mobility
6. Motion control and safety in AVS
7. Simulation
8. Telematics and Communications for AVS
9. Standards and Regulations for AVS
10. Legal Implications of AVS
11. Societal Impact
12. User Behavior
13. Aerial Unmanned Vehicles
14. Underwater Unmanned Vehicles
15. Off-road AVS
16. Guidance, planning and navigation

The contributed chapters should provide an up-to-date overview of the
underlying topics. Chapters describing new research are also welcome.


Important Dates

1. Expression of interest: July 18, 2021 (Chapter title and abstract)
2. Deadline for full chapter submission: October 31, 2021
3. Review of chapters: November 30, 2021
4. Final chapter version: January 15, 2022


For more information, please contact ise...@oakland.edu
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[UAI] CfP: [Algorithms] Special Issue "Advances in Complex Network Models and Random Graphs" (Deadline: 15 August 2021)

[Stella Xu]

Special Issue: Advances in Complex Network Models and Random Graphs
Deadline for manuscript submissions: 15 August 2021
Guest Editor:
Dr. Yilun Shang
Computer and Information Sciences, Northumbria University, Newcastle
upon Tyne NE1 8ST, UK
Dr. Yang Lou
Department of Electrical Engineering, City University of Hong Kong, Hong
Kong 518057, China
===
Dear Colleagues,

We cordially invite you to submit a manuscript for consideration and
possible publication in a Special Issue on “Advances in Complex Network
Models and Random Graphs" to be published in an EI-, ESCI-, Scopus-, and
MathSciNet-indexed open access journal Algorithms
(http://www.mdpi.com/journal/algorithms).

The submission manuscript deadline is 15 August 2021. For more details,
please visit the website:
https://www.mdpi.com/journal/algorithms/special_issues/complex_network_model


You may share this invitation with your team members and colleagues;
co-authors are most welcome.

Please let me know within a month or as soon as possible if you and your
colleagues are interested in submitting a manuscript for this special
issue. If more time is needed, please feel free to tell us
(algorit...@mdpi.com). Your contribution would be most welcome.

Algorithms is fully open access. Open access (unlimited and free access
by readers) increases publicity and promotes more frequent citations, as
indicated by several studies.

For further details on the submission process, please see the
instructions for authors at the journal website
(http://www.mdpi.com/journal/algorithms/instructions).

We hope this topic is of interest to you and look forward to
collaborating with you in the near future.

Kind regards,
Stella Xu

CiteScore of Algorithms (2020): 2.90

*News*:
1. Participate in our 1st International Online Conference on Algorithms
(IOCA 2021, https://ioca2021.sciforum.net/)—Both to attend and to upload
and present your latest work are completely free of charge. Save the
date: 27 September 2021 - 10 October 2021
2. Applications are open for Travel Award
https://www.mdpi.com/journal/algorithms/awards
--
MDPI Wuhan Office
Algorithms Editorial Office

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[UAI] PhD Studentship in AI Driven Population Health Study : Improving medication verification for cancer patients

[Shangming Zhou]

Dear All,



Applications are invited for a three-year PhD studentship. The studentship
will start on* 1 October, 2021, *or as soon as possible after that.



*Overview of the Studentship*



This fully funded PhD studentship is based at the University of
Plymouth’s Centre
for Health Technology
,
a leading international research group focused on the design, development
and implementation of health technology innovations in health and care.
This vibrant team of researchers work within the intersection of digital
health, software engineering, data science, clinical artificial
intelligence, and innovation strategy, with a primary aim to create a
global hub for technology incubation in the South West of the United
Kingdom.



*Project Description*



Medication errors, including those in prescribing, dispensing, or
administration of a drug, are the single most preventable cause of patient
harm. They have a significant impact on the efficiency of the workflow in
pharmacy, raise safety concerns for patients, and result in a financial
burden on the healthcare systems. Within cancer treatment, emphasis on
reducing the number of medication errors has been an active research area
for many years, with understanding that interdisciplinary approaches are
vital to assure continuous improvement. Opportunities created by the
reduction of transaction times for complex computational processes and use
of machine learning to support clinical decision making, create a potential
catalyst for the development of tools for reduction in medication errors.



This PhD studentship offers an exciting opportunity of exploring AI and
machine learning with large clinical data sets residing within electronic
health records to create methods to assure the effective use of systemic
anticancer treatment (including traditional cytotoxic chemotherapy,
immunotherapy, novel oral therapies etc.) without compromising patient
safety. The studentship will require application of interdisciplinary
skills to enable cooperation between the research, clinical, industry and
patient communities in the development of a novel approach which could
enhance clinical outcomes.



*Supervision Team*



   - Professor Shang-Ming Zhou
   

   (shangming.z...@plymouth.ac.uk)

https://scholar.google.com/citations?user=iWiXGWMJ&hl




   - Dr Edward Meinert (edward.mein...@plymouth.ac.uk)

https://scholar.google.com/citations?hl=en&user=7V-WsrwJ




   - Mrs Andrea Preston (andrea.pres...@uhbw.nhs.uk)



This PhD student will be academically advised by Professor Shang-Ming Zhou
and Dr Edward Meinert, research scientists with research interests in
applied artificial intelligence and machine learning, computing science in
health and care. The student will also be advised by Mrs Andrea Preston, a
Macmillan Divisional Lead Haematology & SW Cancer Commissioning Pharmacist.
This supervision team will assure the execution of a world-class PhD
embedded into the wider digital health ecosystem at the University of
Plymouth.



*Eligibility*



· This PhD studentship is offered for UK and international applicants.



· Applicants should have:

1) A first or upper second-class honours degree, and a relevant
Master’s qualification in Computing Science,

[UAI] 10th Int conf on Computational Data and Social Networks (CSoNet 2021)

[Abdellah Chehri]

Dear colleagues,


Please note the following two updates for the 10th Int conf on Computational 
Data and Social Networks (CSoNet 2021):

  1.  Submission deadline is extended to July 10, 2021.
  2.  For the virtual attendance, the registration fee is $50.

For more information, please see:



http://optnetsci.cise.ufl.edu/CSoNet/



***Best Paper Awards and Journal Special Issues

 There will be one best paper award and one best student paper award. Selected 
papers will be recommended to IEEE Transactions on Network Science and 
Engineering (TNSE) and Springer Journal of Combinatorial Optimization (JOCO) 
for potential fast-track publications.



The important dates are as follows.


Paper Submission  July 10, 2021

Acceptance Notification  September 10, 2021

Camera Ready & Registration   September 24, 2021

Conference Dates  November 15-17, 2021

Submission link:
https://easychair.org/conferences/?conf=csonet2021


Best regards,

CSoNet 2021 Organization


*** Please accept our apologies if you receive multiple copies of this CFP ***



CSoNet 2021 provides a premier interdisciplinary forum to bring together 
researchers and practitioners from all fields of big data and social networks, 
such as billion-scale network computing, social network/media analysis, mining, 
security and privacy, and deep learning and applications. CSoNet 2021 seeks to 
address emerging yet important computational problems, with a focus on the 
fundamental background, theoretical developments, and real-world applications 
associated with big data network analysis, modelling, and deep learning and 
understanding. The conference solicits theoretical, methodological, empirical, 
and experimental research reporting original and unpublished results on 
computational big data and social networks. Topics of interest include, but are 
not limited to:

  *   Real-world Complex Networks Analysis
  *   Trends and Pattern Analysis in Social Networks
  *   Representation Learning on Networks
  *   Big Data Analysis
  *   Mathematical Modeling and Analysis of Real-world Social Platforms
  *   Network Structure Analysis and Dynamics Optimization
  *   Data Network Design and Architecture
  *   Information Diffusion Models and Techniques
  *   Security and Privacy in Data Networks and Analysis
  *   Efficient Algorithms for Large-scale Data Networks Computing
  *   Reputation and Trust in Social Media
  *   Social Influence, Recommendation, and Media
  *   Applications of Complex Data Network Analysis
  *   Energy Efficiency in Mobile Data Networks
  *   Natural Language Understanding and Applications for Social Media
  *   E-commerce and Social Media Marketing
  *   Deep Learning on Graphs and its Applications
  *   Stock Market Prediction and Stock Recommendation with Social Media Data
  *   Anomaly Detection, Security, and Privacy in Big Data Networks
  *   Analysis of Signed and Attributed Real-world Networks
  *   Multidimensional Graph Analysis
  *   Algorithmic Fairness in Social Network Analysis and Graph Mining.
  *   Socially-relevant Analytics from Social Media Contents (e.g., Bias, 
Toxicity, etc.)

Accepted papers will be published in Springer’s Lecture Notes in Computer 
Science, and indexed by ISI (CPCI-S, included in ISI Web of Science), EI 
Engineering Index (Compendex and Inspec databases), ACM Digital Library, DBLP, 
Google Scholar, MathSciNet, etc. Also, extended versions of selected best 
papers will be invited for publication in the Journal of Combinatorial 
Optimization, IEEE Transactions on Network

[UAI] [Last CfP] 2nd International Workshop on Active Inference IWAI2021(ECML/PKDD 2021) Last call for papers

[Lanillos Pradas, P.L. (Pablo)]

Last call for papers for the *2nd International Workshop on Active Inference 
IWAI2021*, in conjunction with the European Conference on Machine Learning 
(ECML/PKDD 2021) that will be held VIRTUALLY in September 2021 in Bilbao, Spain.

* CALL FOR PAPERS*
The 2nd International Workshop on Active Inference wants to bring together 
researchers on active inference as well as related research fields in order to 
discuss current trends, novel results, (real-world) applications, to what 
extent active inference can be used in modern machine learning settings, such 
as deep learning, and how it can be unified with the latest psychological and 
neurological insights. Accepted papers will be published in proceedings 
(Springer Communications in Computer and Information Science).
Website: https://iwaiworkshop.github.io/
Twitter: @iwai_ws

*Important dates*
Workshop Date: September 13th or 17th, 2021 to be decided with the ECML 
conference
Paper Submission Deadline: June 23rd, 2021 Extended July 7th, 2021
Acceptance Notification: July 28th, 2021
*Topics of interest*
Papers on all subjects and applications of active inference and related 
research areas are welcome.

- Active inference
- (Bayesian) surprise
- Cognitive robotics
- Control as inference
- Variational inference
- Computational neuroscience
- (Deep) generative models
- State-space models
- Representation learning
- Intrinsic motivation
- Intelligent systems
- Decision making in economics
- etc

*Paper submissions*
We welcome submissions of papers with up to 8 printed pages (excluding 
references) in LNCS format (click here for details). Submissions will be 
evaluated according to their originality and relevance to the workshop, and 
should have an abstract of 60-100 words.
Contributions should be in PDF format and submitted via Easychair: 
https://easychair.org/conferences/?conf=iwai2021

In accordance with the main conference, will apply a double-blind review 
process (see also the double-blind reviewing process section below for further 
details). All papers need to be anonymized in the best of efforts. It is 
allowed to have a (non-anonymous) online pre-print. Reviewers will be asked not 
to search for them.

On behalf of the organizers,
Tim Verbelen, Daniela Cialfi, Maxwell Ramstead, Christopher Buckley and Pablo 
Lanillos

---
Dr. Pablo Lanillos
www.therobotdecision.com

Tenured assistant professor in Cognitive Artificial Intelligence | AI Robotics 
Lab
ELLIS Nijmegen Unit
Donders Institute for Brain, Cognition and Behaviour, the Netherlands
p.lanillos @ donders.ru.nl

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[UAI] CSoNet 2021

[dli12]

Dear colleagues,

Please note the following two updates for the 10th Int conf on Computational 
Data and Social Networks (CSoNet 2021):
Submission deadline is extended to July 10, 2021.
For the virtual attendance, the registration fee is $50. 

For more information, please see:
 
http://optnetsci.cise.ufl.edu/CSoNet/  
 
***Best Paper Awards and Journal Special Issues 
 There will be one best paper award and one best student paper award. Selected 
papers will be recommended to IEEE Transactions on Network Science and 
Engineering (TNSE) and Springer Journal of Combinatorial Optimization (JOCO) 
for potential fast-track publications. 
 
The important dates are as follows.

Paper Submission  July 10, 2021 
Acceptance Notification  September 10, 2021 
Camera Ready & Registration   September 24, 2021 
Conference Dates  November 15-17, 2021 

Submission link:
https://easychair.org/conferences/?conf=csonet2021 


Best regards,
CSoNet 2021 Organization

** Please accept our apologies if you receive multiple copies of this CFP ** 
 
CSoNet 2021 provides a premier interdisciplinary forum to bring together 
researchers and practitioners from all fields of big data and social networks, 
such as billion-scale network computing, social network/media analysis, mining, 
security and privacy, and deep learning and applications. CSoNet 2021 seeks to 
address emerging yet important computational problems, with a focus on the 
fundamental background, theoretical developments, and real-world applications 
associated with big data network analysis, modelling, and deep learning and 
understanding. The conference solicits theoretical, methodological, empirical, 
and experimental research reporting original and unpublished results on 
computational big data and social networks. Topics of interest include, but are 
not limited to: 

Real-world Complex Networks Analysis 
Trends and Pattern Analysis in Social Networks 
Representation Learning on Networks 
Big Data Analysis 
Mathematical Modeling and Analysis of Real-world Social Platforms 
Network Structure Analysis and Dynamics Optimization 
Data Network Design and Architecture 
Information Diffusion Models and Techniques 
Security and Privacy in Data Networks and Analysis 
Efficient Algorithms for Large-scale Data Networks Computing 
Reputation and Trust in Social Media 
Social Influence, Recommendation, and Media 
Applications of Complex Data Network Analysis 
Energy Efficiency in Mobile Data Networks 
Natural Language Understanding and Applications for Social Media 
E-commerce and Social Media Marketing 
Deep Learning on Graphs and its Applications 
Stock Market Prediction and Stock Recommendation with Social Media Data 
Anomaly Detection, Security, and Privacy in Big Data Networks 
Analysis of Signed and Attributed Real-world Networks 
Multidimensional Graph Analysis 
Algorithmic Fairness in Social Network Analysis and Graph Mining. 
Socially-relevant Analytics from Social Media Contents (e.g., Bias, Toxicity, 
etc.) 
Accepted papers will be published in Springer’s Lecture Notes in Computer 
Science, and indexed by ISI (CPCI-S, included in ISI Web of Science), EI 
Engineering Index (Compendex and Inspec databases), ACM Digital Library, DBLP, 
Google Scholar, MathSciNet, etc. Also, extended versions of selected best 
papers will be invited for publication in the Journal of Combinatorial 
Optimization, IEEE Transactions on Network Science and Engineering, and 
Computational Social Networks. 

Authors who are interested in the above topics can submit their unpublished 
work to CSoNet 2021. A clear indication of the motivation and comparison with 
prior related work should be presented. Simultaneous submission to a journal or 
another conference with refereed proceedings is not allowed. 

Submissions must adhere to the following guidelines: 

Papers must be formatted using the LNCS format 
(ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip) without altering 
margins or the font point. 
The maximum length of a regular paper (including references) is 12 pages; 2 
pages for an extended abstract. 
Proofs omitted due to space constraints must be placed in an appendix to be 
read by the program committee members at their discretion. 
Submission link: https://easychair.org/conferences/?conf=csonet2021 

Organizing Committee  
 
General Chairs 
Long Le, University of Quebec 
Jun Pei, Hefei University of Technology 
 
Program Chairs 
Ruoming Jin, Kent State University 
David Mohaisen, University of Central Florida 
 
Steering Committee 
 My T. Thai (Chair) – University of Florida 
Kim-Kwang Raymond Choo – University of Texas at San Antonio 
Zhi-Li Zhang, University of Minnesota 
Weili Wu, University of Texas, Dallas 
 
Important Dates: 
 
Paper Submission  July 10, 2021 
Acceptance Notification  September 10, 2021 
Camera Ready & 

[UAI] New Book: Deep Learning in Science (Cambridge University Press)

[Baldi,Pierre]

I would like to announce my new book: *Deep Learning in Science*.  Deep 
Learning in Science provides a rigorous treatment of deep learning from 
first principles, and demonstrates  several applications of deep 
learning in the natural sciences.


Table of contents and draft chapters available from my web site 
.


Synopsis and reviews available here 
.


Book available  from Cambridge University Press 
, 
Amazon 
, 
and other vendors 
.



--
Pierre Baldi
Department of Computer Science
University of California, Irvine


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[UAI] DDP 2021

[ddp]

Second International Conference on Digital Data ProcessingMarrakesh, MoroccoNovember 11-13, 2021www.socio.org.uk/ddp(IEEE CPS. Papers should follow IEEE template)Data grows voluminously and exponentially with heterogeneity and complexity. A single organization or industry processes more than few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyze and process data more efficiently where theData analytics are able to reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. The data applications have introduced cutting-edge possibilities in every activity in our life. Thus, the study of data and its underlying structure, dynamics of data relations, and newer data technologies are a never-ending process. The literature and research on data management are enormous, still, they sufficiently do not solve the data processing requirements.Currently, the use of technology and interrelations among information pieces generate gargantuan amounts of data. Many studies tend to develop models and systems to analyse the voluminous datasets. Analysing the impact of data leads to application domains on various decisions that have a systematic influence.  Knowledge generated from the data analysis can enable the production of critical information for several domains.Hence this conference reviews and discusses, the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology. This conference also highlights the current open research directions of data analytics that requires further consideration/The proposed conference will discuss the topics not limited toData applications in various domains and activitiesData in cloudReal-world data processingData inaccuracy and reliability issuesData ecosystemBusiness analyticsNew data analytics techniquesPhysical and management challengesPrivacy and SecurityCrowdsourcing and SensingData modelingDeep learning techniquesData fusionDescriptive analytic, Diagnostic analytics,  Predictive Analytics, and Prescriptive analyticsMachine learningNetwork optimizationPublicationsDDP is technically supported by IEEE CPS. The DDP papers will be submitted for publication and indexing in IEEE Xplore. Besides, modified versions of the papers will appear in the following journals. 1. Journal on Data Semantics  2. Technologies  3. Data Technologies and Applications  4. Webology  5. Journal of Digital Information Management  6. International Journal of Computational Linguistics  7. Journal of Optimization  8. Future Internet Important DatesFull Paper Submission July 31, 2021Notification of Acceptance/Rejection September 05, 2021Registration Due October 05, 2021Camera Ready Due October 05, 2021Workshops/Tutorials/Demos November 12, 2021Main conference November: 11-13 , 2021Keynote SpeakersEleni (Helen) Karatza, Aristotle University of Thessaloniki, GreeceMaria Fasli, University of Essex, UKProgram CommitteeHonorary ChairsAhmed MOUSSA, Director of National School of Applied Sciences, Tangier, MoroccoBouchta El Moumni, vice-President of Abdelmalek Essaâdi University, Tetouan, MoroccoMohamed Addou, Dean of the faculty of sciences and techniques, Tangier, MoroccoProgram ChairsAziz El Janati El Idrissi, Ministre d’éducation et d’enseignement supérieur Mohamed V University. Rabat, Rabat-Salé-Zemmour Zaër, MoroccoRamiro Smano Robles, Instituto Superior de Engenharia do Porto Rua, PortugalAhmed Moussa, Director of National School of Applied Sciences, Tangier, MoroccoSimon Fong, University of Macau, MacauProgram Co-ChairsRicardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, MexicoDion Goh, Nanyang Technological University, SingaporePaper Submission: http://socio.org.uk/ddp/paper- submission/Contact: d...@socio.org.uk
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