[UAI] [CFP]11th Int. Conf. on Sensor Networks :: Submission Deadline - 14th of September

[calendarsites]

CALL FOR PAPERS 

11th International Conference on Sensor Networks

 

**Submission Deadline: September 14, 2021**

 

http://www.sensornets.org

February 07 - 08, 2022

Online Streaming 

 

Dear Colleagues,

 

Given the uncertainties of the current international situation, including
constraints on traveling, logging and large gatherings we have decided to
convert the conference completely into a web-based event.

 

As a consequence of this change, we have strongly reduced the registration
fees so we would like to invite you to contribute and submit your original
research paper to SENSORNETS 2022. 

 

This conference intends to be the meeting point of researchers and
practitioners to share experiences and ideas on innovative developments in
any aspect of sensor networks, including Hardware of Sensor Networks,
Wireless Communication Protocols, Sensor Networks Software and
Architectures, Wireless Information Networks, Data Manipulation, Signal
Processing, Localization and Object Tracking through Sensor Networks,
Machine Learning in sensor networks leading to resource optimizations and
many Applications.

 

Conference Chair(s) 

Nirwan Ansari, New Jersey Institute of Technology, United States

César Benavente-Peces, Universidad Politécnica de Madrid, Spain

 

Program Chair(s) 

RangaRao Venkatesha Prasad, Delft University of Technology, Netherlands

Dirk Pesch, University College Cork, Ireland

 

With the presence of internationally distinguished keynote speakers: 

Luca Mottola, Politecnico di Milano, Italy

Biplab Sikdar, University of Singapore, Singapore

 

Proceedings will be submitted for indexation by: 

SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic
Scholar, Microsoft Academic, Engineering Index (EI), Web of Science /
Conference Proceedings Citation Index.

 

A short list of presented papers will be selected so that revised and
extended versions of these papers will be published by Springer in a CCIS
Series book. 

All papers presented at the conference venue will also be available at the
SCITEPRESS Digital Library. 

 

Kind regards, 

Monica Saramago 

SENSORNETS Secretariat

Web: http://www.sensornets.org 

e-mail: sensornets.secretar...@insticc.org

 

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[UAI] A tenured research scientist position at RIKEN, Tokyo for female researchers

[Emtiyaz Khan]

Dear all,
Hope you and your loved ones are well and safe. I wanted to bring to your
attention an open position we have in our Approximate Bayesian Inference
group (https://team-approx-bayes.github.io/) at RIKEN-AIP Tokyo (
https://aip.riken.jp/). The position is specifically for a female
researcher with expertise in Machine Learning and interest in application
domains relevant to society. This is an "indefinite-term" position, which
is equivalent to a tenured position, but at a research scientist level.

Our hope is that this position will provide a starting point for the
researcher to develop their own research program, who will eventually lead
a team of their own in the future (as a professor or team/group leader).

You can find the details of the position at this page:
https://www.riken.jp/en/careers/researchers/20210901_8/index.html

If you have any questions, feel free to send me an email at
jobs-abi-riken-aip [at] googlegroups.com

-- 
Emtiyaz Khan,
AIP, RIKEN, Tokyo.
http://emtiyaz.github.io
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[UAI] [jobs] deadline postponed: Post-doc Functional Memory Network in collaborative AI for context awareness and action planning in robotics @ Italian Institute of Technology (IIT)

[Francesco Rea]

Post-doc Functional Memory Network in collaborative AI for context awareness 
and action planning in robotics

At IIT we work enthusiastically to develop human-centered Science and 
Technology to tackle some of the most pressing societal challenges of our times 
and transfer these technologies to the production system and society. Our Genoa 
headquarter is strictly inter-connected with our 11 centers around Italy and 
two outer-stations based in the US for a truly interdisciplinary experience.

The CONTACT Research Line is coordinated by Alessandra Sciutti, who has 
extensive experience in Cognitive Architecture for Human Robot Interaction.
Within the team, your main responsibilities will be:

  *   Exploiting functional memory networks and related AI in a cognitive 
architecture for better human robot collaboration;
  *   Design of control systems for dextrose mobile robots aiming at natural 
human-robot collaboration;
  *   Development of an AI solution for context awareness in collaborative 
unstructured manufacturing contexts;
  *   Development of an AI solution for action planning in collaborative 
unstructured manufacturing contexts.
This open position is financed by European Commission through HBP (Human Brain 
Project) project CEoI for SGA3 - Application of functional architectures 
supporting advanced cognitive functions to address AI and automation problems 
of industrial and commercial within the awarded  PROMEN-AID, Proactive Memory 
iN AI for Development project (GA-94553)

Please submit your application using the online form 
(https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=214W) and 
including a detailed CV, cover letter (outlining motivation, experience and 
qualifications), names and contact of 2 referees.

Application's deadline postponed to September 15, 2021.








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[UAI] Invitation to join Short Course 'Deep Learning and Computer Vision', 6-7th October 2021

[Ioanna Koroni]

Dear Machine Learning and Deep Neural Networks engineers, scientists and
enthusiasts,

 

you are welcomed to register in the  CVML Short e-course on 'Deep Learning
and Computer Vision',  6-7th October 2021:
http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi
sion-for-autonomous-systems-2021/

 

It will take place as a two-day e-course (due to COVID-19 circumstances),
hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki,
Greece, providing a series of live lectures delivered through a
tele-education platform (Zoom). They will be complemented with on-line video
recorded lectures and lecture pdfs, to facilitate international participants
having time difference issues and to enable you to study at own pace.  You
can also self-assess your knowledge, by filling appropriate questionnaires
(one per lecture). You will be provided programming to improve your
programming skills. You will also have accesses to tutorial exercises to
better your theoretical understanding of selected CVML topics. 

This 6th edition of this course is part of the very successful CVML short
course series that took place in the last four years. 

 


Course description 'Deep Learning and Computer Vision'


The short e-course consists of 16 1-hour live lectures organized in two
Parts (1 Part per day):

Part A lectures (8 hours) provide an in-depth presentation to autonomous
systems imaging and the relevant architectures as well as a solid background
on the necessary topics of computer vision (Image acquisition, camera
geometry, Stereo and Multiview imaging, Mapping and Localization) and
machine learning (Introduction to neural networks, Perceptron,
backpropagation, Deep neural networks, Convolutional NNs).

Part B lectures (8 hours) provide in-depth views of the various topics
encountered in autonomous systems perception, ranging from vehicle
localization and mapping, to Neural SLAM, target detection and tracking.
Part B also contains application-oriented lectures on autonomous drones,
cars and marine vessels, e.g., drone mission planning for cinematography and
related applications (marine surveillance, infrastructure/building
inspection, car vision).

 

Course lectures


Part A: (first day, 8 lectures)


1.  Introduction to autonomous systems imaging
2.    Digital Image
and Videos
3.    Camera geometry
4.   
Stereo and Multiview imaging
5.

Introduction to Artificial Neural Networks. Perceptron
6.

Multilayer perceptron. Backpropagation
7.  Deep neural networks.

Convolutional NNs
8.  Introduction to multiple drone imaging


Part B: (second day, 8 lectures)


1.

Simultaneous Localization and Mapping
2.    Neural Slam
3.    Deep
Object Detection
4.  2D Visual Object Tracking
5.  Drone mission planning and control
6.  Introduction to car vision
7.  Introduction to autonomous marine vehicles
8.  CVML Software Development Tools

 

 

You can use the following link for course registration:

http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi
sion-for-autonomous-systems-2021/

 

Lecture topics, sample lecture ppts and videos, self-assessment
questionnaires, programming exercises and tutorial exercises can be found
therein.

For questions, please contact: Ioanna Koroni mailto:koroniioa...@csd.auth.gr> >

 

The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and
IEEE distinguished speaker.  He is the coordinator of the EC funded
International AI Doctoral Academy (AIDA  ), that is
co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He
was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative.
He is Director of the Artificial Intelligence and Information analysis Lab
(AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator
of the European Horizon2020 R&D project Multidrone. He is ranked 249-top
Computer Science and Electronics scientist internationally by Guide2research
(2018). He has 33800+ citations to his work and h-index 86+.

 

AUTH is ranked 153/182 internationally in Computer Science/Engineering,
respectively, in USNews ranking.

 

Relevant links:

1) Prof. I. Pitas:

https://scholar.google.gr/citations?user=lWmGADwJ
 &hl=el

2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/

3) Horizon2020 EU fu

[UAI] CFP: 20th International Conference on Computer and Information Technology (CIT-2021), London, 20-22 December 2021

[Zhang, Yongchao]

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

*** CIT-2021 CFP *

The 20th International Conference on Computer and Information Technology 
(CIT-2021)

https://hpcn.exeter.ac.uk/cit2021/



London, UK, 20-22 December 2020

INTRODUCTION
=

CIT-2021 is the 20th edition of the highly successful International Conference 
on Computer and Information Technology. The goal of the conference is to 
provide a forum for scientists, engineers and researchers to discuss and 
exchange novel ideas, results, experiences and work-in-process on all aspects 
of computer and information technology. CIT has become a major platform for 
researchers and industry practitioners from different fields of computer and 
information technology. Each year, CIT attendees appreciate and benefit from 
multidisciplinary exchanges in computer and information technology. In previous 
years, CIT has attracted many high quality research papers spanning over the 
various aspects of information technology, computing science and computer 
engineering. These papers highlight foundational work that strives to push 
beyond limits of existing computer technologies, including experimental 
efforts, innovative systems, and investigations that identify weaknesses in 
existing IT services.

CIT-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: Computer Science

Track 2: Information Technology

Track 3: Networking and Communications

Track 4: Information Security





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/cit2021-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] 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 2020

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] [jobs] deadline postponed: Post-doc Functional Memory Network in collaborative AI for cognitive assessment of human partners @ Italian Institute of Technology (IIT)

[Francesco Rea]

Post-doc Functional Memory Network in collaborative AI for cognitive assessment 
of human partners

At IIT we work enthusiastically to develop human-centered Science and 
Technology to tackle some of the most pressing societal challenges of our times 
and transfer these technologies to the production system and society. Our Genoa 
headquarter is strictly inter-connected with our 11 centers around Italy and 
two outer-stations based in the US for a truly interdisciplinary experience.

The CONTACT Research Line is coordinated by Alessandra Sciutti, who has 
extensive experience in Cognitive Architecture for Human Robot Interaction.
Within the team, your main responsibilities will be:

  *   Sensing of human cognitive capabilities based on human-robot 
collaboration in unstructured real-world contexts
  *   Design of control systems for mobile robots that enable natural 
human-robot collaboration
  *   Development of an AI solution for the assessing of cognitive capabilities 
of human partners in  human-robot social collaboration for unstructured 
real-world scenario
This open position is financed by European Commission through HBP (Human Brain 
Project) project CEoI for SGA3 - Application of functional architectures 
supporting advanced cognitive functions to address AI and automation problems 
of industrial and commercial within the PROMEN-AID, Proactive Memory iN AI for 
Development project (GA 945539).

Please submit your application using the online form 
(https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=214X) and 
including a detailed CV, cover letter (outlining motivation, experience and 
qualifications), names and contact of 2 referees.

Application's deadline postponed to September 15, 2021.








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[UAI] [Final CFP] IEEE ICDM International Workshop on AI for Nudging and Personalization (WAIN) 2021

[Ranga Vatsavai]

Call for Papers: IEEE ICDM International Workshop on AI for Nudging and
Personalization (WAIN-21)
Co-located with IEEE International Conference on Data Mining (ICDM)
(Due to ongoing COVID-19, WAIN-21 workshop will be held virtually.)

Nudging has been widely used by decision makers and organizations (both
government and private) to influence the behavior of target populations,
and the concept of nudging is now being widely used in the digital world.
Examples of digital nudging include emails from hospitals or public health
officials encouraging individuals to get vaccinated, text messages from
colleges to stressed-out students to advertise the availability of
counseling services during exam weeks, marketing messages through various
digital media, and user interfaces designed to guide people’s behavior in
digital choice environments.

The central idea behind nudging is to make small changes to the
environments in which citizens make decisions to encourage better
behaviors. Even though nudges have traditionally involved simple changes
that are easy and inexpensive to implement, more complex and sustained
behavior change requires more complex interventions, presenting new
challenges for nudging in the virtual world. Though the concept of nudging
has been popularized recently, nudges have been in use in various aspects
of society for a long time, including in healthcare, public health policy,
law, economics, politics, insurance, finance, and advertising. With
increasing availability of big data from many scientific disciplines,
artificial intelligence (AI), machine learning (ML), and data science (DS)
technologies have vast potential to transform data-driven nudging and
decision making. This workshop seeks to build a new community around AI for
nudging and provide a platform for exploring the state of the art in
AI/ML/DS based systems and applications of digital nudging.

Adaptation of products and services to individual preferences, called
Personalization, has been at the core of modern businesses to improve
customer satisfaction. Modern business and digital systems coupled with
artificial intelligence technologies are poised to enable personalization
on a grand scale. Personalization is a key element behind many modern
businesses such as Netflix, Facebook, and Amazon to increase their revenue
and customer base. Modern businesses are tailoring content for individual
users based on the social, economic, and cultural profiles mined from the
data, as it is shown to increase revenue and attract new customers. Modern
applications ranging from precision marketing to precision healthcare have
shown a clear demand for personalized content.

We invite contributions from researchers of any discipline who are
developing AI/ML/DS technologies that impact human behavior based on
nudging theory or personalization or behavioral science-based solutions.
For example, in the context of public health communications, how can AI/ML
be used to address the construction of a message incorporating nudges; how
do you digitally nudge people towards better healthcare outcomes, better
financial decisions, or improve productivity; or how can nudging be
personalized? What are the key data, technology, privacy and ethical,
adoption, and scaling challenges in nudging and personalization? In
addition to algorithmic and systems papers, case studies that shed light on
the effectiveness of nudges and personalization at maximizing a specific
outcome, how AI/ML based systems can nudge people to make better decisions,
or how industry is developing and/or using nudging and personalization
technology to influence behavior of consumers are of great interest to this
workshop.

Topics of interest include, but not limited to, the following:
- Theoretical foundations of nudging and personalization
- Core AI/ML topics including multi-agents, federated learning, active
learning, semi-supervised learning, multi-armed bandits, contextual
bandits, reinforcement learning, deep learning, transfer learning
- Multi-modal data and model fusion
- Representation learning, and embeddings
- Learning from categorical and relational data
- Feature engineering
- Statistical models, A/B testing
- Privacy and Ethical issues in nudging and personalization
- Personalized nudging
- Challenges for AI in real-time nudging
- AI-driven interactions encoding behavior change solutions
- Nudging and personalization in conversational AI
- Evaluation strategies to measure impact and effectiveness of nudging and
personalization
- Applications: Healthcare, Precision Medicine, Energy, Environment,
Transportation, Workforce, Education, Advertising, Government, Politics,
Policy, Software Engineering

Important dates:
- (Extended) Sept. 12, 2021: Paper submission
- Sep. 24, 2021: Acceptance notification
- Oct. 01, 2021: Camera-ready deadline and copyright form
- Dec. 17, 2021: (Due to ongoing COVID-19, WAIN workshop will be fully
virtual)

Paper Submissions:
This is an open call-for-papers. 

[UAI] Graph Machine Learning in Industry Webinar

[David Rohde]

Criteo AI Lab is excited to be presenting Graph Machine Learning in Industry. 
Please join us on Thursday, September 23rd, at 17:00 Paris time.

Registration is now open: 
https://sites.google.com/view/graph-ml-in-industry/home

Many problems in data mining, machine learning, and computer science can be 
formulated as graph problems. From modelling relationships in social networks 
and recommender systems to identifying the strengths of molecule reactions, 
graphs are a natural way to represent certain systems. Research into this area 
has recently demonstrated the viability of this approach with many recent 
success stories.

At the same time, research and deployment of graph machine learning solutions 
in an industrial setting present new and unique challenges. These include 
training the models at scale, dealing with heterogeneous data format, storing 
and updating large graphs, identifying new applications, among many others.

In this spirit, the goal of Graph Machine Learning in Industry workshop is to 
gather the community of graph practitioners in the industry and to present 
recent ML solutions that are successful in solving real-world problems.

Speakers:

  *   James Zhang (AWS)
  *   Charles Tapley Hoyt (Harvard Medical School)
  *   Anton Tsitsulin (Google)
  *   Cheng Ye (AstraZeneca)
  *   Rocío Mercado (MIT)
  *   Lingfei Wu (JD.com)

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[UAI] IJCLR 2021: Call for extended abstracts & recently published papers (September 10)

[Nikos Katzouris]

Apologies for multiple postings.

*Call for extended abstracts and recently published papers.*

The 1st International Joint Conference on Learning & Reasoning (IJCLR 
2021), will take place from October 25 to 27 2021 as a fully virtual event:


http://lr2020.iit.demokritos.gr/ 

*Scope*
A crucial milestone for taking full advantage of the AI potential is the 
endowment of algorithms that learn from experience with the ability to 
consult existing knowledge and reason with what has already been 
learned. Integrating learning and reasoning constitutes one of the key 
open questions in AI, and holds the potential of addressing many of the 
shortcomings of contemporary AI approaches, including the black-box 
nature and the brittleness of deep learning, and the difficulty to adapt 
knowledge representation models in the light of new data. Integrating 
learning and reasoning calls for approaches that combine knowledge 
representation and machine reasoning techniques with learning algorithms 
from the fields of neural, statistical and relational learning.


IJCLR 2021 brings together four international conferences & workshops, 
addressing all aspects of combining knowledge representation & machine 
reasoning with statistical, neural and symbolic learning:


- The 30th International Conference on Inductive Logic Programming (ILP).
- The 15th International Workshop on Neural-Symbolic Learning & 
Reasoning (NeSy).
- The 10th International Workshop on Statistical Relational Artificial 
Intelligence (StarAI).
- The 10th International Workshop on Approaches and Applications of 
Inductive Programming (AAIP).


IJCLR 2021 aims at bringing together researchers and practitioners 
working on various aspects of learning & reasoning, via presentation of 
cutting-edge research on topics of special interest to the participating 
conferences/workshops. In addition to each of the four events' 
individual programs, which will be held in parallel, IJCLR aims to 
promote collaboration and cross-fertilization between different 
approaches and methodologies to integrating learning & reasoning, via 
joint keynotes, panel discussions and poster sessions.


*Call for extended abstracts and recently published papers*
During a second round of paper submissions we invite authors that wish 
to present their work at the conference to submit late-breaking 
abstracts and recently published papers within the scope of IJCLR.


*Late-breaking abstracts* are invited to either ILP or AAIP. To submit 
an abstract follow the submission link at
https://easychair.org/conferences/?conf=ijclr2021 

and select one of the ILP/AAIP options. Submissions should briefly 
outline novel ideas and proposals that the authors would like to present 
at the conference. These could include e.g. original work in progress 
without conclusive experimental findings, or other relevant work, not 
yet ready for publication. Submissions of late-breaking abstracts will 
be accepted/rejected on the grounds of relevance to the scope of 
ILP/AAIP. Accepted late-breaking abstracts will be published on the 
conference website. Submissions must not exceed 4 pages, including 
references.


*Recently published papers* within the scope of IJCLR, or papers 
recently accepted for publication by a first-class conference such as 
AAAI, IJCAI, UAI, ECML/PKDD, ICML, KDD, ICDM, ICLR etc. or journal such 
as MLJ, DMKD, JMLR etc. These will be accepted/rejected on the grounds 
of relevance and quality of the original publication venue. For papers 
of this category a link to the original work will be published on the 
conference website. Authors should submit the abstract and the PDF file 
of the original submission, specifying in the abstract the original 
venue where the paper was accepted, in addition to the acceptance date. 
Authors submitting a recently published paper should submit it through 
IJCLR's "Recently Published Papers Track" option from the submission page
https://easychair.org/conferences/?conf=ijclr2021 



*Submission deadline:* September 10 2021
*Author notification:* September 15 2021

The IJCLR steering committee and organization team:

Luc De Raedt, KU Leuven, Belgium
Stephen Muggleton, Imperial College London, UK
Artur d’Avila Garcez, City University of London, UK
Ute Schmid, University of Bamberg, Germany
Cèsar Ferri, Universitat Politènica de València, Spain
Angelika Kimmig, Cardiff University, UK
Sebastijan Dumančić, KU Leuven, Belgium
Jay Pujara, University of Southern California, USA
Nikos Katzouris, NCSR "Demokritos", Greece
Alexander Artikis, University of Pireaus & NCSR "Demokritos", Greece
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[UAI] IEEE PerCom 2022: Call For Papers

[Mirko Nardi]

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

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.

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

Paper registration in EDAS: September 27, 2021
Submission via EDAS: October 4, 2021
Notification: December 22, 2021
Camera Ready: February 5, 2022

Other important dates are here http://www.percom.org/important-dates

SUBMISSION DETAILS

Paper submission must be done for the main conference and all associated
events via EDAS
(https://www.edas.info/). If you do not have an EDAS account, please,
register first (it's free) via the following link
https://edas.info/newPerson.php?noauth=1.  The direct submission link for
PerCom 2022 is here: https://edas.info/N28655.

PerCom 2022 will follow a double-blind review process. As a result, authors
must make a good faith effort to anonymize their submissions.

Submitted papers must be unpublished and not considered elsewhere for
publication. Also, they must show a significant relevance to pervasive
computing and communications. Submitted papers will undergo a rigorous
review process handled by the Technical Program Committee. Only electronic
submissions in PDF format will be considered.

The IEEE LaTeX and Microsoft Word templates, as well as formatting
instructions, can be found here
https://www.ieee.org/conferences/publishing/templates.html. Papers must be
at most 9 pages of technical content (10pt font, 2-column format),
including text, figures, and tables and up to one additional page for
references only.

Accepted papers will be published in IEEE Xplore. All accepted papers will
be invited to submit an associated artifact abstract providing the code,
data, results, etc. associated with the contribution.

BEST PAPER AWARD AND EDITORIAL FOLLOW-UPs

The best paper will receive the prestigious Mark Weiser Best Paper Award.

Papers of particular merit will be considered for a special issue of the
Elsevier journal of Pervasive and Mobile Computing (PMC).

TPC CHAIR AND VICE CHAIRS
Salil Kanhere, UNSW Sydney, Australia
Claudio Cicconeti, IIT-CNR, Italy
Peizhao Hu, Rochester Institute of Technology, USA
Qin Lv, University of Colorado Boulder, USA


CONTACT INFORMATION
percom2022-pc-cha...@iit.cnr.it

DIVERSITY, EQUITY AND INCLUSION
PerCom values particularly Diversity, Equity and Inclusion aspects. Check
here http://www.percom.org/perco

[UAI] Funded Fall 2022 PhD student opportunities: School of Information Sciences, Illinois (due Nov 1 2021)

[He, Jing Rui]

We invite applications to our world-renowned and highly interdisciplinary 
doctoral program at the School of Information Sciences (iSchool) at the 
University of Illinois. Our students have backgrounds in a broad range of 
fields, including the arts, humanities, social sciences, computing, and 
artificial intelligence. Our students receive one-on-one mentorship from 
faculty who have a global reputation for research excellence in a range of 
overlapping areas:




  *   Archives & Digital Curation: information preservation; data curation; 
data provenance
  *   Artificial Intelligence & Data Science: information management; machine 
learning; natural language processing; data mining; data governance; 
information visualization; privacy, security and trust; reproducibility
  *   Digital Humanities: cultural analytics, distant reading, computational 
music analysis, digital history
  *   Health, Medical & Bioinformatics: learning healthcare systems, clinical 
informatics, biomedical ontologies, implementation science, health in social 
media, privacy in health, health devices, global health, evidence based 
medicine, semantic representations in medicine
  *   Human-Computer Interaction: computer supported cooperative work; design 
and evaluation of information systems and services; mobile computing; user 
experience
  *   Information Organization & Access: information literacy; information 
retrieval; foundations of information
  *   Information, Culture & Society: community, cultural, and social 
informatics; diversity and social justice; information policy; science and 
technology studies; youth services
  *   Library Technologies & Services: digital libraries; education of 
information and professionals; libraries and librarianship
  *   Science of Science: knowledge representation and ontologies; 
bibliometrics, informetrics and scientometrics
  *   Social Computing & Computational Social Science: crisis informatics; 
computing for social good; social networks; FATE (fairness, accountability, 
transparency, ethics)



For a comprehensive list of research areas, see: 
https://ischool.illinois.edu/research/areas. For more about our faculty visit 
http://ischool.illinois.edu/people/faculty.



The School's flexible program prepares students with the intellectual guidance 
and experiences necessary for vibrant research careers in a wide range of 
academic, business, and public sector settings. Accepted students are 
guaranteed five years of funding in the form of research, teaching, and service 
assistantships, which include tuition waivers and stipends. We also offer 
travel support. We especially encourage students from historically and 
statistically underrepresented minority groups to apply.



Our PhD program in Information Science is the oldest existing LIS doctoral 
program in the U.S. with 270 graduates. Recent graduates are now faculty 
members at institutions such as the University of Michigan, University of 
Washington, University of Maryland, Drexel, and UCLA, professionals at Baidu, 
Google, Twitter, Uber and AbbVie, and academic library professionals at the 
Library of Congress, Princeton University, and the University of Chicago.



APPLICATION

For more information about the application process, please visit: 
https://ischool.illinois.edu/degrees-programs/phd-information-sciences/apply

Application deadline (For full consideration for nomination for a Graduate 
College fellowship) is November 01, 2021.



For additional information about our PhD program, see 
https://ischool.illinois.edu/degrees-programs/phd-information-sciences

For questions, please contact Prof. Michael Twidale, PhD Program Director, at 
ischool-...@illinois.edu.

___
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

[UAI] [CFP] Special Issue/Research Topic "Mobile Cyber-Physical Collectives" on Frontiers in Robotics and AI

[Roberto Casadei]

Key information

- SI title:  Mobile Cyber-Physical Collectives
- SI venue: Frontiers in Robotics and AI (Scimago 2020 rank: Q2); 
Frontiers in Manufacturing Technology > Software Technologies; Frontiers 
in Neurorobotics
- SI web page: 


- DEADLINE (abstract): 26 November 2021
- DEADLINE (submission): 25 February 2022

Visit the following to participate to the research topic/collection: 
https://www.frontiersin.org/research-topics/24380/mobile-cyber-physical-collectives/participate-in-open-access-research-topic


---

Current trends are pushing towards a vision of computational and 
physical processes that seamlessly, continuously interact to provide 
novel kinds of services, applications, and solutions. Such tightly 
integrated processes are carried out by Cyber-Physical Systems (CPSs), 
namely networks of “cyber” and “physical” components engineered by 
emphasizing the three “C”s of communication, computation, and control. 
It is expected that our environments (bodies, homes, buildings, cities) 
will be increasingly filled with devices capable of situated action as 
well as decision making through their computational counterparts (cf. 
digital twins), which may be supported on-board or remotely. In many 
cases, these CPSs are able to move about their environment making them 
mobile CPS. The more devices get deployed, the more the emphasis moves 
from what an individual cyber-physical device can provide to what an 
entire collective of mobile cyber-physical devices can provide. Swarms 
of robots, crowds of augmented people, ICT infrastructures, wireless 
sensor and actuator networks, the Internet of Things (IoT), and smart 
grids, are all examples of Mobile Cyber-Physical Collectives (MCPCs), 
namely collections of mobile cyber-physical elements sharing tasks or 
aiming at global goals or “social benefits”.


While opportunities of emerging CPSs such as MCPCs arise, research is 
devoted to addressing theoretical and practical challenges inherent to 
distribution, coordination, control, and operational requirements. In 
MCPCs, the collective nature adds more challenges related to collective 
decision making, emergent behavior, and scalability, which fosters 
decentralized architectures and solutions. Additionally, given the large 
number of components involved in CPCs, heterogeneity would be 
omnipresent and an element to be considered. This brings about different 
space and time scales with which we need to deal. System-level 
adaptation to environmental change is another prominent issue to be 
addressed and studied in fields like self-organizing systems (SOSs) and 
collective adaptive systems (CASs) engineering, where natural phenomena 
and processes (cf. ant colonies, force fields, cellular systems, 
chemical reactions) are often used as inspiration for devising novel 
methods and mechanisms. Moreover, nowadays, ICT infrastructures are 
getting more complex and intensely exploited, enabling multiple 
possibilities for communication and computation across the 
edge-fog-cloud continuum; this provides alternatives for deployment of 
cyber elements and hence different guarantees and non-functional 
outcomes for communication CPSs.


To address these challenges, this Research Topic invites original, 
high-quality work presenting novel research on mobile Cyber-physical 
Systems operating as collectives. Featured articles should present novel 
strategies that address issues in different aspects of collective CPS 
such as methods, architecture, design, validation, verification, and 
application of cyber-physical collectives.


Topics of interest include, but are not limited to:

• Digital twins for large-scale CPSs

• Bio-inspired distributed computing approaches

• Multi-disciplinary approaches to collective behaviour design

• Decentralised algorithms for collective decision-making

• Models and tools for heterogeneous socio-technical systems

• Architectures and patterns for CPC systems design

• Methodologies for CPC systems engineering

• Programming languages and non-conventional paradigms for collective 
systems


• Techniques for soft or hard real-time coordination of collective activity

• Organisational paradigms for multi-agent systems

• Privacy and security in cyber-physical ecosystems

• Formal methods for analysis and prediction of emergent collective 
behaviour


• Verification and validation approaches for cyber-physical CAS 
(collective adaptive systems)


• Soft computing approaches to collective systems

• Mobility computing approaches to CPSs

• Approaches to crowds of augmented people and smart devices

• Approaches to swarm robotics

• Approaches to CI (collective intelligence)

• Case studies and applications involving CPCs (e.g., in context like 
smart cities, manufacturing, transportation, agriculture, security, 
healthcare)


Topic editors

- Lukas Esterle, Aarhus University
- Roberto Casadei, Alma