[UAI] IEEE PerCom 2022: Extended paper registration and submission deadlines (Oct 8th & 14th)

[Mirko Nardi]

[Apologies if you receive multiple copies of this message]
==

*
The 20th International Conference on Pervasive Computing and
Communications (PerCom 2022), March 21-25, 2022
Pisa, Italy
http://www.percom.org

*
* DEADLINES EXTENDED (due to many requests):*
*Oct 8th, 2021 (abstract registration)  *
*Oct 14th, 2021 (full papers)   *
*   *
* CONFERENCE FORMAT:*
*   PerCom 2022 is currently planned as a hybrid events.*
*   Authors of accepted papers will have the option of attending*
*   either physically or virtually. *
*   *
* CONFERENCE RANKING:   *
*   IEEE PerCom has received the highest-ranking assessment of  *
*   >>>  A* (top 7%)  <<<  in the CORE 2021 ranking *
*

*
Call for Papers

PerCom is the premier annual scholarly venue in pervasive computing
and communications. Pervasive computing has found its way into many
commercial systems due to tremendous advances in a broad spectrum
of technologies and topics such as wireless networking, mobile and
distributed computing, sensor systems, ambient intelligence, and
smart devices.

Conference organizers are monitoring the situation of COVID-19 and
international travel restrictions. We are ready to take necessary
steps, including transforming the conference into a hybrid experience
for physical and virtual attendees, to accommodate authors who may
face travel difficulties.

RANKING

Out of 811 ranked conferences, the CORE 2021 conference ranking
assessment positioned PerCom in the top 7% of academic conferences and
receiving the highest-ranking assessment of A*. The CORE conference
ranking provides assessments of major conferences in the computing
disciplines. Conference rankings are determined by a mix of indicators
including citation rates, paper submission and acceptance rates, and
the visibility and research track record of the key people hosting the
conference and managing its technical program.
Source: http://portal.core.edu.au/conf-ranks/669/

SCOPE

PerCom 2022 solicits research contributions in all areas pertinent
to pervasive computing and communications, especially those that
cross traditional research boundaries. In particular, we target:

- Advances in pervasive systems and infrastructures: middleware systems
and services; data engineering for pervasive computing; cloud, fog
and edge computing; integrations of smartphones in pervasive
experiences; applications of device-to-device coordination.

- Theories, models, and algorithms: context modeling and reasoning;
adaptive computing; activity and emotion recognition; programming
paradigms; applied machine learning; deep machine learning; federated
learning; causal learning; cognitive computing; complex networks;
spatio-temporal modeling techniques.

- Domain-specific challenges and novel applications: urban/mobile
crowdsensing & intelligence; PerCom for healthcare and well-being;
smart homes and virtual assistants; innovative PerCom applications
(e.g., sports analytics, crime prevention, pervasive nowcasting).

- Intersections of PerCom with: opportunistic networks; IoT and sensor
systems; RFID systems; pervasive data science, and cyber physical
systems.

- New techniques for user-level concerns: participatory and social
sensing; trust, security, and privacy; user interface, interaction,
and persuasion; online and offline social networking and pervasive
computing.

- Technological innovations: architectures, protocols, and technologies
for pervasive communications; energy-harvesting, self-powered, or
battery-less systems; mobile and wearable systems; smart devices
and environments; positioning and tracking technologies; wireless
crowd-recharging; device-free human sensing.

Contributions can be analytical, empirical, technological,
methodological, or a combination. Papers reporting strong systems
engineering contributions backed by solid and appropriate evaluations
are strongly encouraged. The impact of the contributions should be
demonstrated in the context of pervasive computing and communications
applications.

IMPORTANT DATES

Due to many requests, the deadlines for paper registration and
submission have been extended.
Paper registration in EDAS (extended): October 8, 2021
Submission via EDAS (extended): October 14, 2021
Notification: Decemb

[UAI] [jobs] PhD studentship in Epistemic Artificial Intelligence - Oct 10

[Fabio Cuzzolin]

*Oxford Brookes University*

*Faculty of Technology Design and Environment*

*School of Engineering, Computing and Mathematics*



1 three-year full-time funded PhD Studentship



*Eligibility:* all students

*Bursary:* £16,540 per year

*Fees:* Tuition fees will be paid by the university

*Deadline for applying:* 10th October 2021

*Start date:* Earliest January 2022



The Faculty of TDE at Oxford Brookes University is pleased to offer a
three-year full-time PhD studentship to a student commencing January 2022,
funded by the European Union’s Horizon 2020 research and innovation
programme under grant agreement No 964505 “Epistemic AI”.

The successful candidate will join the Visual Artificial Intelligence
Laboratory  under the
supervision of Professor Fabio Cuzzolin
. It is
a fully-funded PhD studentship with annual bursary of £16,540.



*Project description*

The Visual Artificial Intelligence Laboratory
 is a fast-growing research
unit currently running on a budget of £3 million from nine live projects
funded by the EU (2), Innovate UK (2), the Leverhulme Trust and others. Our
research interests span artificial intelligence, uncertainty theory,
machine learning, computer vision, autonomous driving, surgical and mobile
robotics, AI for healthcare. The Lab is currently pioneering frontier
topics in AI such as machine theory of mind, self-supervised learning,
continual learning and future event prediction.

The PhD student will join the Lab’s work towards a new Horizon 2020 FET
(Future Emerging Technologies) project “Epistemic AI
” coordinated by
Prof Cuzzolin and whose other partners are TU Delft (Netherlands) and KU
Leuven (Belgium). The project started in March 2021 and has a duration of 4
years.

The project’s overarching objective is to develop a new paradigm for a
next-generation artificial intelligence providing worst-case guarantees on
its predictions thanks to a proper modelling of real-world uncertainties.
The project re-imagines AI from the foundations, with the aim of providing
a proper treatment of the ‘epistemic’ uncertainty stemming from a machine’s
forcibly partial knowledge of the world by means of advanced uncertainty
theory. All new algorithms and learning paradigms are to be tested in the
context of autonomous driving.



*Requirements*



We seek a highly competent candidate to submit their thesis within 3 years.
Candidates should have a strong mathematical background, specifically in
optimisation, probability and statistics, and a good first degree in
Machine Learning, Artificial Intelligence or related fields. Applicants are
also expected to have Research experience in Machine Learning or Artificial
Intelligence, and good coding skills in Python and/or C++. Knowledge of
uncertainty theory, including belief functions, random sets or imprecise
probabilities is desirable, as is experience of coding in Torch, PyTorch,
Tensorflow or Caffe, and experience of work in autonomous driving



*How to apply*

To apply, please please go directly to the university here:
https://www.brookes.ac.uk/studying-at-brookes/how-to-apply/applying-direct/,
quoting “*PhD Studentships in Epistemic Artificial Intelligence**”.*

Fully completed applications must be submitted online by *10th October
2021.* As part of the application process you must submit your CV, a
Research Proposal (two pages), copies of your current degrees and
transcripts, IELTS (if applicable), and a supporting statement (2-page
maximum) which explains why you believe you are the best candidate for this
studentship. Please be advised that the selection process may involve an
interview.

For informal requests contact Prof Fabio Cuzzolin (
fabio.cuzzo...@brookes.ac.uk), and Dominic Maitland (
tdestudentsh...@brookes.ac.uk) should you have any questions about the
application process.
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[UAI] 14th Metaheuristics International Conference, 11-14 July 2022, Ortigia-Syracuse, Italy

[Stephan Petrone]

Apologies for cross-posting. Appreciate if you can distribute this CFP to
your network.

*
MIC 2022 - 14th Metaheuristics International Conference
11-14 July 2021, Ortigia-Syracuse, Italy
https://www.ANTs-lab.it/mic2022/ 
*

** Submission deadline: 30th March 2022 **


*Scope of the Conference


The Metaheuristics International Conference (MIC) conference series was
established in 1995 and this is its 14th edition!

MIC is nowadays the main event focusing on the progress of the area of
Metaheuristics and their applications. As in all previous editions,
provides an opportunity to the international research community in
Metaheuristics to discuss recent research results, to develop new ideas and
collaborations, and to meet old and make new friends in a friendly and
relaxed atmosphere.

Considering the particular moment, the conference will be held in presence
and online mode. Of course, in case the conference will be held in
presence, the organizing committee will ensure compliance of all safety
conditions.

MIC 2022 is focus on presentations that cover different aspects of
metaheuristic research such as new algorithmic developments, high-impact
and original applications, new research challenges, theoretical
developments, implementation issues, and in-depth experimental studies.
MIC 2022  strives a high-quality program that will be completed by a number
of invited talks, tutorials, workshops and special sessions.


*Plenary Speakers


+ Holger H. Hoos, Leiden University, The Netherlands
+ Christian Blum, Artificial Intelligence Research Institute (IIIA),
Spanish National Research Council (CSIC)

More Plenary Speakers will be announced soon.


*Relevant Research Areas


MIC 2022 solicits contributions dealing with any aspect of metaheuristics.
Typical, but not exclusive, topics of interest are:

   + Metaheuristic techniques such as tabu search, simulated annealing,
iterated local search, variable neighborhood search, memory-based
optimization, dynamic local search, evolutionary algorithms, memetic
algorithms, ant colony optimization, variable neighborhood search, particle
swarm optimization, scatter search, path relinking, etc.

   + Techniques that enhance the usability and increase the potential of
metaheuristic algorithms such as reactive search mechanisms for
self-tuning, offline metaheuristic algorithm configuration techniques,
algorithm portfolios, parallelization of metaheuristic algorithms, etc.

   + Empirical and theoretical research in metaheuristics including
large-scale experimental analyses, algorithm comparisons, new experimental
methodologies, engineering methodologies for metaheuristic algorithms,
search space analysis, theoretical insights into properties of
metaheuristic algorithms, etc.

   + High-impact applications of metaheuristics in fields such as
bioinformatics, electrical and mechanical engineering, telecommunications,
sustainability, business, scheduling and timetabling. Particularly welcome
are innovative applications of metaheuristic algorithms that have a
potential of pushing research frontiers.

   + Contributions on the combination of metaheuristic techniques with
those from other areas, such as integer programming, constraint
programming, machine learning, etc.

   + Contributions on the use of metaheuristic techniques in machine
learning and deep learning for finetuning and neural architecture search,
etc.

   + Challenging applications areas such as continuous, mixed
discrete-continuous, multi-objective, stochastic, or dynamic problems.


Important Dates


Submission deadline   March 30th, 2022
Notification of acceptanceMay 10th, 2022
Camera ready copy May 25th, 2022
Early registrationMay 25th , 2022


Submission Details
===

We will accept submissions in three different formats.

S1) Original research contributions for publication in the conference
proceedings of a maximum of 10 pages

S2) Extended abstracts of work-in-progress and position papers on an
important research aspect of a maximum of 3 pages

S3) High-quality manuscripts that have recently, within the last year, been
submitted or accepted for journal publication


Accepted contributions of categories S1 and S2 will be published in the MIC
2022 conference proceedings. Accepted contributions of category S3 will be
orally presented at the conference, but not be included into the conference
proceedings.
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[UAI] Call for Participation: The 46th Annual IEEE Conference on Local Computer Networks (LCN 2021)

[publicity]

===
 CALL FOR (VIRTUAL) PARTICIPATION

 The 46th Annual IEEE Conference on Local Computer Networks (LCN 2021)
===

Virtually Hosted in 
Edmonton, Canada
October 4th - 7th, 2021 
https://ieeelcn.org

Register here: https://ieeelcn.org/registration/
Registration deadline: October 3rd, 2021

---

Announcement: Due to the current global COVID-19 situation, LCN 2021 will be 
held fully online.
Rather than take place in Edmonton, Canada, it will instead take place 
virtually.
(Publications will continue as planned and there will be proceedings. 
Presentations of accepted papers of the main conference, symposium, poster 
session and doctoral track will be organized so that authors can present their 
papers at a convenient time from their respective locations.)

==

Scope: The IEEE LCN conference is the premier conference on the leading edge 
oftheoretical and practical aspects of computer networking. LCN is a highly 
interactive conference that enables an effective interchange of results and 
ideas among researchers, users, and product developers. For the past 45 years, 
major developments from high-speed networks to the global Internet to 
specialized sensor networks have been reported at this conference.


IEEE LCN'21 offers a rich program during four days:
The main track offers technical sessions of oral presentation on hot research 
results in the networking area. The symposium provides an opportunity to 
present novel ideas on emerging topics in networking. The demonstration session 
this year comprises a number of interesting demos and will, together with the 
short and Doctoral sessions, also be held fully online on intersting topics.

Find the program online: https://www.ieeelcn.org/Program_technical.html

==

Keynote presentations:

/AI-Enabled Wireless Networks: A Vision for 6G/
* Dr. Melike Erol-Kantarci *
Canada Research Chair in AI-enabled Next-Generation Wireless Networks
Associate Professor
University of Ottawa
Canada


/Automated Management of Softwarized and Virtualized Network Functions/
* Prof. Xiaoming Fu *
University of Göttingen
Germany


/6G — The Road Ahead/
* Prof. Matti Latva-aho *
University of Oulu
Finland 

==
Contact: Direct your questions to the conferences Chairs:

 * General Chair: Karl Andersson < karl.anders...@ltu.se>

 * TPC Chair: Lyes Khoukhi 

 * TPC Co-chair: Sharief Oteafy 

 * Symposium Chair: Florian Tschorsch 



Follow LCN on Twitter https://www.ieeelcn.org/twitter/

Follow LCN on LinkedIn https://www.ieeelcn.org/linkedin/

Follow LCN on YouTube https://www.ieeelcn.org/youtube/


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[UAI] CFP OLA'2022 Optimization & Learning @Sicilia Italy

[El-ghazali Talbi]

Apologies for cross-posting. Appreciate if you can distribute this CFP 
to your network.



  OLA'2022
  International Conference on Optimization and Learning
  18-20 July 2022
  Syracuse (Sicilia), Italy
    http://ola2022.sciencesconf.org/
    SCOPUS Springer Proceedings


OLA is a conference focusing on the future challenges of optimization 
and learning methods and their applications. The conference OLA'2022 
will provide an opportunity to the international research community in 
optimization and learning to discuss recent research results and to 
develop new ideas and collaborations in a friendly and relaxed atmosphere.


OLA'2022 welcomes presentations that cover any aspects of optimization 
and learning research such as big optimization and learning, 
optimization for learning, learning for optimization, optimization and 
learning under uncertainty, deep learning, new high-impact applications, 
parameter tuning, 4th industrial revolution, computer vision, 
hybridization issues, optimization-simulation, meta-modeling, 
high-performance computing, parallel and distributed optimization and 
learning, surrogate modeling, multi-objective optimization ...


Submission papers: We will accept two different types of submissions:
-   S1: Extended abstracts of work-in-progress and position papers 
of a maximum of 3 pages

-   S2: Original research contributions of a maximum of 10 pages

Important dates:
===

Invited session organization  Dec 20, 2021
Paper submission deadline Jan 28, 2022
Notification of acceptance    March 25, 2022

Proceedings: Accepted papers in categories S1 and S2 will be published 
in the proceedings. A SCOPUS and DBLP indexed Springer book will be 
published for accepted long papers. Proceedings will be available at the 
conference.



--

**
OLA'2022
International Conference on Optimization and Learning
18-20 July 2022, Syracuse, Sicilia, Italy
http://ola2022.sciencesconf.org
***

Prof. El-ghazali TALBI
Polytech'Lille, University Lille - INRIA
CRISTAL - CNRS
guide2research.com

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[UAI] BELIEF 2021 : Call for Participation

[frederic.pichon]

=
Call for Participation for BELIEF 2021
=

The 6th International Conference on Belief Functions 
October 15th-17th, 2021, Shanghai, China (online participation also possible)
https://www.lgi2a.univ-artois.fr/events/belief2021/ 


===
General information
===

The theory of belief functions, also referred to as evidence theory or 
Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the 
context of statistical inference, and was later developed by Glenn Shafer as a 
general framework for modelling epistemic uncertainty. These early 
contributions have been the starting points of many important developments, 
including the transferable belief model and the theory of hints. The theory of 
belief functions is now well established as a general framework for reasoning 
with uncertainty, and has well understood connections to other frameworks such 
as probability, possibility and imprecise probability theories. It has been 
applied in diverse areas such as machine learning, information fusion and risk 
analysis.

The BELIEF conferences (sponsored by the Belief Functions and Applications 
Society https://www.bfasociety.org/ ) are 
dedicated to the confrontation of ideas, the reporting of recent achievements 
and the presentation of the wide range of applications of this theory. Previous 
BELIEF conferences have been held in Brest (2010), Compiègne (2012, 2018), 
Oxford (2014), and Prague (2016). This edition of the conference will be 
located in Shanghai, China, on October 15-17, 2021, together with the 2021 
International Conference on Cognitive analytics, Granular computing, and 
Three-way decisions (CCGT). It will be held both onsite and online due to the 
COVID-19 situation.
 
=
Invited speakers
=

Chunlai Zhou, Renmin University, China
Deqiang Han, Xi'an Jiaotong University, China
Zengjing Chen, Shandong University, China
Van-Nam Huynh, Japan Advanced Institute of Science and Technology, Japan
 
===
Program
===

https://www.lgi2a.univ-artois.fr/events/belief2021/#program 


===
Tutorials
===

Thierry Denoeux, Université de technologie de Compiègne, France
Frédéric Pichon, Université d'Artois, France

=
Venue and registration
=

The BELIEF 2021 conference will be a hybrid event, with both on-site and 
on-line participants. 
See https://www.lgi2a.univ-artois.fr/events/belief2021/#venue 
 for more 
information.

==
Committees
==

Organization chair
Xiaodong Yue (Shanghai University, China).

Program committee co-chairs
Zhunga Liu (Northwestern Polytechnical University, China), Frédéric Pichon 
(Université d'Artois, France).

Program committee
https://www.lgi2a.univ-artois.fr/events/belief2021/#committees 


Steering committee
Eric Lefevre (Université d'Artois, France), Zhunga Liu (Northwestern 
Polytechnical University, China), David Mercier (Université d'Artois, France), 
Frédéric Pichon (Université d'Artois, France), Zhihua Wei (Tongji University, 
China), Xiaodong Yue (Shanghai University, China).

BELIEF-CCGT conference co-chairs
Thierry Denoeux (Université de Technologie de Compiègne, France), Duoqian Miao 
(Tongji University, China), Yiyu Yao (University of Regina, Canada).

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[UAI] WorldCist'22 - 10th World Conference on Information Systems and Technologies | Montenegro

[IT]

* Conference listed in CORE Ranking

** Google Scholar H5-Index = 23

*** Best papers selected for SCI/SSCI journals



--

WorldCIST'22 - 10th World Conference on Information Systems and Technologies

12-14 April 2022, Budva, Montenegro

http://worldcist.org 

---


The WorldCist'22 - 10th World Conference on Information Systems and 
Technologies, to be held in Budva, Montenegro, 12-14 April 2022, is a global 
forum for researchers and practitioners to present and discuss the most recent 
innovations, trends, results, experiences and concerns in the several 
perspectives of Information Systems and Technologies.

We are pleased to invite you to submit your papers to WorldCist'22. All 
submissions will be reviewed on the basis of relevance, originality, importance 
and clarity.



TOPICS

Submitted papers should be related with one or more of the main themes proposed 
for the Conference:

A) Information and Knowledge Management (IKM);

B) Organizational Models and Information Systems (OMIS);

C) Software and Systems Modeling (SSM);

D) Software Systems, Architectures, Applications and Tools (SSAAT);

E) Multimedia Systems and Applications (MSA);

F) Computer Networks, Mobility and Pervasive Systems (CNMPS);

G) Intelligent and Decision Support Systems (IDSS);

H) Big Data Analytics and Applications (BDAA);

I) Human-Computer Interaction (HCI);

J) Ethics, Computers and Security (ECS)

K) Health Informatics (HIS);

L) Information Technologies in Education (ITE);

M) Technologies for Biomedical Applications (TBA)

N) Information Technologies in Radiocommunications (ITR);



TYPES of SUBMISSIONS and DECISIONS

Four types of papers can be submitted:

Full paper: Finished or consolidated R&D works, to be included in one of the 
Conference themes. These papers are assigned a 10-page limit.

Short paper: Ongoing works with relevant preliminary results, open to 
discussion. These papers are assigned a 7-page limit.

Poster paper: Initial work with relevant ideas, open to discussion. These 
papers are assigned to a 4-page limit.

Company paper: Companies' papers that show practical experience, R & D, tools, 
etc., focused on some topics of the conference. These papers are assigned to a 
4-page limit.

Submitted papers must comply with the format of Advances in Intelligent Systems 
and Computing Series (see Instructions for Authors at Springer Website), be 
written in English, must not have been published before, not be under review 
for any other conference or publication and not include any information leading 
to the authors’ identification. Therefore, the authors’ names, affiliations and 
bibliographic references should not be included in the version for evaluation 
by the Program Committee. This information should only be included in the 
camera-ready version, saved in Word or Latex format and also in PDF format. 
These files must be accompanied by the Consent to Publish form filled out, in a 
ZIP file, and uploaded at the conference management system.

All papers will be subjected to a “double-blind review” by at least two members 
of the Program Committee.

Based on Program Committee evaluation, a paper can be rejected or accepted by 
the Conference Chairs. In the later case, it can be accepted as the type 
originally submitted or as another type. Thus, full papers can be accepted as 
short papers or poster papers only. Similarly, short papers can be accepted as 
poster papers only.

Poster papers and Company papers are not published in the Conference 
Proceedings, being only presented and discussed. The authors of accepted poster 
papers should build and print a poster to be exhibited during the Conference. 
This poster must follow an A1 or A2 vertical format. The Conference includes 
Work Sessions where these posters are presented and orally discussed, with a 7 
minute limit per poster.

The authors of accepted Full papers will have 15 minutes to present their work 
in a Conference Work Session; approximately 5 minutes of discussion will follow 
each presentation. The authors of accepted Short papers and Company papers will 
have 11 minutes to present their work in a Conference Work Session; 
approximately 4 minutes of discussion will follow each presentation.



PUBLICATION & INDEXING

To ensure that a full paper or short paper is published, poster paper or 
company paper is presented, at least one of the authors must be fully 
registered by the 8nd of January 2022, and the paper must comply with the 
suggested layout and page-limit. Additionally, all recommended changes must be 
addressed by the authors before they submit the camera-ready version.

No more than one paper per registration will be published. An extra fee must be 
paid for publication of additional papers, with a ma

[UAI] Natural Computation Special Issue - Visualisation in Evolutionary Computation

[David Walker]

Special Issue of Springer's Natural Computation - Visualisation in Evolutionary 
Computation

Scope and objectives

Visualisation is a crucial tool in evolutionary computation (EC), enabling 
vital insight and understanding about algorithm operation and problem 
landscapes, as well as enabling decision makers to explore solution sets 
comprising large numbers of conflicting objectives. In addition to visualising 
the solutions generated by an EC process, the processes themselves can be 
visualised to provide algorithm users with information about how successful 
their optimisers are. Advances in animation and the prevalence of digital 
displays, along with improvements in processing power, mean that it is possible 
to use visualisation methods to illustrate aspects of an algorithm’s 
performance in real time.

The focus of this special issue is to highlight the current state-of-the-art in 
visualisation research within evolutionary computation. In addition to 
including extensions of papers from GECCO’s “Visualisation in Genetic and 
Evolutionary Computation” workshop (VizGEC 2021) we are soliciting novel 
contributions from the wider community.

Topics

Topics of interest for this special issue include (but are not limited to) the 
following:

  *   visualisation of the evolution of a synthetic population;
  *   visualisation of algorithm operation;
  *   visualisation of problem landscapes;
  *   visualisation of multi-objective trade-off sets;
  *   the use of genetic and evolutionary techniques for visualising data;
  *   novel technologies for visualisation within genetic and evolutionary 
computation;
  *   visualisation to facilitate interactive evolution;
  *   visualisation in real-world applications.

Submission guidelines

Submitted manuscripts must not have been published or simultaneously submitted 
elsewhere. For extended papers, at least 30% additional material beyond that in 
the published proceedings is expected. Each paper (extended or not) will 
receive thorough peer reviews and evaluation. Papers will be selected based on 
their originality, scientific and technical quality of the contributions, 
organisation and presentation and relevance to the special issue. When 
submitting your manuscript please select “SI: VizGEC” as the article type. In 
order to ensure timely publication manuscripts must be submitted before 19 
December 2021.

Please ensure you read the Guide for Authors before writing your manuscript. 
Manuscripts should be formatted according to the journal's formatting 
instructions. The Guide for Authors and link to submit your manuscript is on 
the journal’s home page, https://www.springer.com/journal/11047.

Important dates

  *   Paper submission due: 19 December 2021
  *   First-round acceptance decision notification: 3 March 2022
  *   First revision submission due: 1 May 2022
  *   Second-round acceptance decision notification: 1 June 2022
  *   Notification of final decision: 1 August 2022

Guest editors

Dr David Walker
University of Plymouth, UK
Email: david.wal...@plymouth.ac.uk

Prof. Richard Everson
University of Exeter, UK
Email: r.m.ever...@exeter.ac.uk

Prof. Neil Vaughan
University of Exeter, UK
Email: n.vaug...@exeter.ac.uk

Dr Rui Wang
Uber AI, USA
Email: ruiw...@uber.com

Dr David Walker
Lecturer in Computer Science
UG Computing Programmes Manager
University of Plymouth

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[UAI] 9th European Conference on Service-Oriented and Cloud Computing (ESOCC 2022): Second Call for Contributions

[George A. Papadopoulos]

*** Second Call for Contributions ***

9th European Conference on Service-Oriented and Cloud Computing
(ESOCC 2022)

March 22-24, 2022, Lutherstadt Wittenberg, Germany

https://www.esocc-conf.eu


Scope

Service-oriented and cloud computing have made a huge impact both on the 
software
industry and on the research community. Today, service and cloud technologies 
are
applied to build large-scale software landscapes as well as to provide single 
software
services to end users. Services today are independently developed and deployed 
as
well as freely composed while they can be implemented in a variety of 
technologies, a
quite important fact from a business perspective. Similarly, cloud computing aims at 
enabling flexibility by offering a centralised sharing of resources. The industry's need
for agile and flexible software and IT systems has made cloud computing the 
dominating paradigm for provisioning computational resources in a scalable, on-
demand fashion. Nevertheless, service developers, providers, and integrators still 
need to create methods, tools and techniques to support cost-effective and secure 
development as well as use of dependable devices, platforms, services and service-

oriented applications in the cloud.

The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the 
premier conference on advances in the state of the art and practice of service-
oriented computing and cloud computing in Europe. The main objectives of this 
conference are to facilitate the exchange between researchers and practitioners in the
areas of service-oriented computing and cloud computing, as well as to explore the 
new trends in those areas and foster future collaborations in Europe and beyond.



Tracks

- Main conference: three days of invited talks, panels, and presentations of selected 
research papers, including a dedicated day to satellite workshops.


- PhD Symposium: an opportunity for PhD students to present their research 
activities
and perspectives, to critically discuss them with other PhD students and with 
established researchers in the area, hence getting fruitful feedback and advices on 
their research activities.


- Projects Track: a useful opportunity for researchers to disseminate the latest 
research developments in their projects and meet representatives of other consortia.


Details about all the tracks are available at the conference web site:
https://www.esocc-conf.eu .


Topics of interest

ESOCC 2022 seeks original, high quality papers related to all aspects of 
service-
oriented and cloud computing. Specific topics of interest include but are not 
limited
to:

- Service and Cloud Computing Models
 • Design patterns, guidelines and methodologies
 • Governance models
 • Architectural models
 • Requirements engineering
 • Formal Methods
 • Model-Driven Engineering
 • Quality models
 • Security, Privacy & Trust models
 • Self-Organising Service-Oriented and Cloud Architectures Models
 • Testing models

- Service and Cloud Computing Engineering
 • Service Discovery, Matchmaking, Negotiation and Selection
 • Monitoring and Analytics
 • Governance and management
 • Cloud Interoperability, Multi-Cloud, Cross-Cloud, Federated Cloud 
solutions
 • Frameworks & Methods for Building Service and Cloud based Applications
 • Cross-layer adaptation
 • Edge/Fog computing
 • Cloud, Service Orchestration & Management
 • Service Level Agreement Management
 • Service Evolution/Optimisation
 • Service & Cloud Testing and Simulation
 • QoS for Services and Clouds
 • Semantic Web Services
 • Service mining
 • Service & Cloud Standards
 • FaaS / Serverless computing

- Technologies
 • DevOps in the Cloud
 • Containerized services
 • Emerging Trends in Storage, Computation and Network Clouds
 • Microservices: Design, Analysis, Deployment and Management
 • Next Generation Services Middleware and Service Repositories
 • RESTful Services
 • Service and Cloud Middleware & Platforms
 • Blockchain for Services & Clouds
 • Services and Clouds with IoT
 • Fog Computing with Service and Cloud

- Business and Social aspects
 • Enterprise Architectures for Service and Cloud
 • Service-based Workflow Deployment & Life-cycle Management
 • Core Applications, e.g., Big Data, Commerce, Energy, Finance, Health, 
Scientific Computing, Smart Cities
 • Business Process as a Service - BPaaS
 • Service and Cloud Business Models
 • Service and Cloud Brokerage
 • Service and Cloud Marketplaces
 • Service and Cloud Cost & Pricing
 • Crowdsourcing Business Services
 • Social and Crowd-based Cloud
 • Energy issues in Cloud Computing
 • Sustainability issues

Submissions from industry are welcome (for example, use cases).


Submissions

ESOCC 2022 invites submissions in all the tracks:

- Regular research papers (15 pages including references)

- PhD Symposium (8 pages including references, authored by the PhD student with
indication of his/her supervisors' names)

- Projects Track (1 to 5 pages including references

[UAI] Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems

[IMPRS IS]

The Max Planck Institute for Intelligent Systems and the Universities of 
Stuttgart and Tübingen collaborate to offer an interdisciplinary Ph.D. program, 
the International Max Planck Research School for Intelligent Systems 
(IMPRS-IS). This doctoral program will accept its sixth generation of Ph.D. 
students in spring of 2022.  

This school is a key element of Baden-Württemberg’s Cyber Valley initiative to 
accelerate basic research and commercial development in artificial intelligence 
and robotics. We seek students who want to earn a doctorate while contributing 
to world-leading research in areas such as:

•  Biomedical Technology
•  Computational Cognitive Science
•  Computer Vision and Graphics
•  Control Systems and Optimization
•  Data Science
•  Haptics and Human-Computer Interaction
•  Machine Learning
•  Micro- and Nano-Robotics
•  Neuroscience
•  Perceptual Inference
•  Robotics and Human-Robot Interaction
•  Soft Robotics and Materials

The participating faculty are Aamir Ahmad, Zeynep Akata, Frank Allgöwer, 
Alexander Badri-Spröwitz, Robert Bamler, Christian F. Baumgartner, Philipp 
Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andrés Bruhn, 
Andreas Bulling, Paul-Christian Bürkner, Martin Butz, Caterina De Bacco, 
Christian Ebenbauer, Benedikt V. Ehinger, Peer Fischer, Andreas Geiger, Martin 
A. Giese, Moritz Hardt, Daniel Häufle, Matthias Hein, Philipp Hennig, Ardian 
Jusufi, Christoph Keplinger, Katherine J. Kuchenbecker, Hendrik Lensch, Falk 
Lieder, Nicole Ludwig, Jakob Macke, Setareh Maghsudi, Georg Martius, Michael 
Mühlebach, Gerard Pons-Moll, Michael Pradel, Tian Qiu, C. David Remy, Samira 
Samadi, Syn Schmitt, Bernhard Schölkopf, Gabriele Schweikert, Michael Sedlmair, 
Fabian Sinz, Metin Sitti, Steffen Staab, Ingo Steinwart, Jörg Stückler, Justus 
Thies, Benjamin Unger, Ulrike von Luxburg, Felix Wichmann, Bob Williamson, 
Thomas Wortmann, and Charley M. Wu.

Associated faculty include R. Harald Baayen, Peter Dayan, Alexander Ecker, 
Jonathan Fiene, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna 
Levina, Jim Mainprice, Kay Nieselt, Peter Ochs, Mijung Park, Nico Pfeifer, 
Peter Pott, Gunther Richter, Ludovic Righetti, Marc Toussaint, Sebastian 
Trimpe, Isabel Valera, Maria Wirzberger, and Li Zhaoping.

Intelligent systems that can successfully perceive, act, and learn in complex 
environments hold great potential for aiding society. We seek doctoral students 
who are curious, creative, and passionate about research to join our school and 
help advance human knowledge about intelligent systems.

•  Admitted Ph.D. students can join our program starting in spring of 2022.
•  You will be mentored by our internationally renowned faculty.
•  You will register as a university doctoral student and conduct research.
•  IMPRS-IS offers a wide variety of scientific seminars, workshops, and social 
activities.
•  All aspects of our program are in English.
•  Your doctoral degree will be conferred when you successfully complete your 
Ph.D. project.
•  Our dedicated staff members will assist you throughout your time as a 
doctoral student.

People with a strong academic background and a master’s degree (conferred or 
expected soon) in Engineering, Computer Science, Cognitive Science, 
Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or 
related fields should apply.

We seek to increase the number of women in areas where they are 
underrepresented, so we explicitly encourage women to apply. We are committed 
to employing more handicapped individuals and especially encourage them to 
apply. We are an equal opportunity employer and value diversity at our 
institutions.  

Admission will be competitive. If selected, you will receive funding via an 
employment contract, subject to the rules of the Max Planck Society and the two 
participating universities.  

You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) 
CET on November 1, 2021. Finalists will be invited to selection interviews that 
will take place online from January 18 to January 21, 2022.

For further information, please visit https://imprs.is.mpg.de
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[UAI] Open position at Montefiore Institute - University of Liège - AI and Power Systems Security

[Louis Wehenkel]

Dear Colleagues,

I am looking for highly motivated junior researchers that would be 
interested in working with us on the application of modern AI methods to 
the security management of the evolving electric power and energy 
infrastructure.


We have funding from the Belgian Federal Energy Transition Fund, the 
Belgian National Fund for Scientific Research, and we have strong 
collaborations with the industry.


The positions are open to electrical engineers with a strong background 
in optimization and machine learning, and to computer engineers with a 
strong background in electrical engineering and optimization.


The research environment is the Montefiore Institute (see 
https://www.montefiore.uliege.be/) which has a long tradition of 
world-class research both in Electric Power Systems and in Artificial 
Intelligence.


The cultural environment of the Liège area is extremely rich and 
renowned for its warm and humanistic welcoming attitude towards all 
visitors.


If you are interested, please send me a detailed CV and a personalized 
motivation letter, with a deadline of October 31, 2021.


Best regards,

Louis Wehenkel

https://people.montefiore.uliege.be/lwh/





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[UAI] CFP: 20th International Conference on Ubiquitous Computing and Communications (IUCC-2021), London, 20-22 December 2021

[Zhang, Yongchao]

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

*** IUCC-2021 CFP *

The 20th International Conference on Ubiquitous Computing and Communications 
(IUCC-2021)

https://hpcn.exeter.ac.uk/iucc2021/



London, UK, 20-22 December 2021

INTRODUCTION
=

Ubiquitous Computing and Communications is a revolutionary paradigm that aims 
to provide pervasive and reliable computing solutions and communication 
services anytime and anywhere. This emerging technology is built upon the rapid 
research and development advances in a wide range of key areas including 
wireless and sensor networks, mobile and distributed computing, embedded 
systems, agent technologies, autonomic communication, and information security. 
Ubiquitous Computing and Communications has drawn significant interests from 
both academia and industry and continues to attract tremendous research efforts 
due to its promising new business opportunity in information technology and 
engineering. The conference offers an important international platform and 
brings together the scientists, engineers, researchers, and students from 
academy and industry all over the world to share their latest work, exchange 
experiences and discuss the state-of-the-art challenges of ubiquitous computing 
and communications. IUCC-2021 is soliciting original and previously unpublished 
papers addressing research challenges and advances towards the design, 
implementation and evaluation of ubiquitous computing and communications 
technologies, systems and applications.

IUCC-2021 is planned to be hosted in London, UK. However, if the COVID-19 
situation and associated travel restrictions remain, the conference will be 
held virtually. All accepted papers are expected to be included in IEEE Xplore 
and will be indexed by Engineering Index (EI). The authors of selected best 
papers will be invited post conference to extend their contributions for 
special issues of prestigious journals to be planned in conjunction with the 
conference.



SCOPE AND TOPICS



Topics of interest include, but are not limited to:

Track 1: Ubiquitous Computing

Track 2: Ubiquitous Communications

Track 3: Ubiquitous System, Services and Applications

Track 4: Ubiquitous Media and Signal Processing





IMPORTANT DATES


  *   Paper Submission Deadline:   8 October 2021
  *   Authors Notification:  8 November 2021
  *   Camera-Ready Paper Due: 1 December 2021
  *   Early Registration Due:  1 December 2021
  *   Conference Date:20-22 December 2021



PAPER SUBMISSION GUIDELINE
==

All papers need to be submitted electronically through the conference 
submission website ( https://hpcn.exeter.ac.uk/iucc2021-submission/ ) with PDF 
format. The materials presented in the papers should not be published or under 
submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over 
length charge) including figures and references using IEEE Computer Society 
Proceedings Manuscripts style (two columns, single-spaced, 10 fonts).

Once accepted, the paper will be included into the IEEE conference proceedings 
published by IEEE Computer Society Press (indexed by EI). At least one of the 
authors of any accepted paper is requested to register the paper at the 
conference.





JOURNAL SPECIAL ISSUES

==

Distinguished papers selected from the conferences, after further extensions, 
will be recommended for submission and publication in the Special Issues of the 
following prestigious journals:

- ACM Transactions on Sensor Networks

- IEEE Internet of Things

- IEEE Transactions on Network Science and 
Engineering

- Computer Communications (Elsevier)

- Soft Computing (Springer)

- Wireless Communications and Mobile Computing (Hindawi)
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[UAI] PhD Position at Radboud University

[Junges, J.S.L. (Sebastian)]

Fully-funded PhD Position for 4-years Available at Radboud University, 
Nijmegen, the Netherlands

We are looking for a highly motivated PhD candidate to join our project on the 
formal model-based analysis of partially observable Markov models.

Your main responsibilities will be to conduct cutting-edge research leading to 
the development of
faster and more scalable techniques for the analysis of safety-critical systems 
that operate based on limited information about their environment.
The project allows to freely explore connections between runtime verification, 
model checking, automata learning and reinforcement learning,
depending of the joint interests of the principal investigator and you.  While 
previous knowledge in model checking, Markov decision processes
 or automata theory, and programming skills in C++ or Python are beneficial, 
the willingness to learn and extend your knowledge in these areas is more 
crucial.

The position is available in the Software Science group of the Institute for 
Computing and Information Sciences (iCIS) at Radboud University.
Our mission is to do top research on the use of models for design and analysis 
of software, bridging the gap between theory and applications.
We offer joining a fun and diverse group that maintains a range of 
international cooperations. In 2021, we published our research in top 
conferences
such as CAV, TACAS, (formal methods) AAAI (artificial intelligence) and RSS 
(robotics). Furthermore, our group actively contributes to the development
of the state-of-the-art probabilistic model checker Storm.

The Faculty of Science is a complete science faculty where research and 
education are closely related. The faculty aims to be an academic community
 with an international character, where staff members from different 
backgrounds combine their talents with the common goal of being a leading 
faculty
 of science in Europe. Radboud University is an equal opportunity employer, 
committed to building a culturally diverse intellectual community, and as such
encourages applications from women and minorities. The university offers 
customised facilities to better align work and private life. Parents are 
entitled
to partly paid parental leave and RU employees enjoy flexibility in the way 
they structure their work. The university highly values the career development
of its staff, which is facilitated by a variety of programmes.

For more information, please contact Sebastian Junges or visit
- sjunges.github.io
- cs.ru.nl
- stormchecker.org

To apply, please visit: 
https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1171682&doel=embed
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