[UAI] 17th WiMob 2021: Submission Deadline Extended 21 June 2021

[Aman Singh]

 [Apologies if you receive multiple copies of this message]
==
   CALL FOR PAPERS
Due to several requests, the deadline will be extended to June 21, 2021
**
The 17th International Conference on Wireless and Mobile
Computing, Networking and Communications (WiMob 2021), October 11-13,
2021 in Bologna, Italy.
http://wimob.org/wimob2021/
**
** IEEE Communications Society sponsorship **
---



* Keynote Speakers:

--- Professor Mohamed-Slim Alouini, King Abdullah University of Science
and Technology (KAUST)
--- Professor Xavier Costa Perez, Head of 6G Networks R&D at NEC
Laboratories Europe

The papers will be included in the conference proceedings, published by
IEEE CS Press (IEEE Xplore) and indexed by Scopus and Ei Compendex.

The WiMob conference is an international forum for the exchange of
experience and knowledge among researchers and developers concerned with
wireless and mobile technology. For thirteen years, the International
WiMob conference has provided unique opportunities for researchers to
interact, share new results, show live demonstrations, and discuss
emerging directions in - Wireless Communication, - Wireless Networking,
Mobility and Nomadicity, - Ubiquitous Computing, Services and
Applications, - Green and sustainable communications and network
computing and - Security on Wireless and mobile Networks.

WiMob 2021 is soliciting high quality technical papers addressing
research challenges in the areas of wireless communications, wireless
networking, mobility, nomadicity, ubiquitous computing, services and
applications. Papers should present original work validated via
analysis, simulation or experimentation. Practical experiences and
Testbed trials also are welcome.

WiMob 2021 will host FIVE parallel symposia:

1. Wireless Communications (WC)
2. Wireless Networking, Mobility and Nomadicity (WNMN)
3. Ubiquitous Computing, Services and Applications (UCSA)
4. Green and Sustainable Communications and Network computing (GSCN)
5. Security on Wireless and Mobile Networks (SWMN)

For the detailed topics, you can refer to WiMob 2021 web site.

Important Dates

- Submissions Date (extended): June 21, 2021
- Notifications Date: July 30, 2021
- Camera ready Date: September 15, 2021
- Registrations for authors: September 15, 2021


INSTRUCTIONS FOR PAPER SUBMISSION

Authors are required to submit fully formatted, original papers (PDF),
with graphs, images, and other special areas arranged as intended for
the final publication.
Papers should be written in English conforming to the IEEE standard
conference format (two-column, 10 pt font, etc., including figures,
tables, and references). The review submissions are limited to six
pages, with two additional pages for final papers (additional charges
may apply for additional pages).
Conference content will be submitted for inclusion into IEEE Xplore as
well as other Abstracting and Indexing (A&I) databases.
Each accepted paper must be presented at the conference by one of the
co-authors or a third party, otherwise it will not be indexed and
archived through IEEE Xplore.
Only timely submissions through EDAS will be accepted.

For more details, please visit the WiMob'2021 official website
(http://wimob.org/wimob2021) and Facebook page for WiMob 2021:
https://www.facebook.com/WiMob.2021

ACCEPTED PAPERS
All accepted papers will be published in the conference proceedings and
presented for inclusion in IEEE Xplore Digital Library.

*Kind Regards,*
Aman Singh,
(Publicity Co-Chair)
http://wimob.org/wimob2021/committees.html
Lovely Professional University, Punjab
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[UAI] CfP - AdKDD @ KDD2021

[Nemanja Djuric]

Call for Workshop Papers


AdKDD 2021

in conjunction with

The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)

Virtual event , August 14th-18th, 2021

http://www.adkdd.org


​​Today, the average consumer spends 8+ hours a day across all devices 
interacting with online content almost entirely sponsored by advertisements. At 
over $300B global market size in 2021 and expected to pass $1T by 2027, online 
advertising has already surpassed traditional ads in global spend. Moreover, 
computational advertising in particular is perhaps the most visible and 
ubiquitous application of machine learning and one that interacts directly with 
consumers. When done right, ads help us enrich our lives and creep us out when 
done badly. Looking at the published literature over the last few years, many 
researchers might consider computational advertising as a mature field. Yet, 
the opposite is true. Computational advertising is evolving, however, from ads 
controlled by monolithic publishers and randomly rotating banner ads to highly 
personalized content experiences in new feeds on mobile devices and even on 
TV—all utilizing data amassed from petabytes of stored user data. Ads are far 
from done.


The AdKDD workshops have had a lot of interest and success in the past years. A 
total of fourteen workshops have been organized every year since 2007, focusing 
on highlighting state-of-the-art advances in computational advertising. All the 
workshops were well attended, often with standing room only, and very well 
received both by the academic community and the advertising industry. We look 
forward to seeing you virtually to discuss the past, present, and future of 
computational advertising!


Topics:

The workshop focuses on three main aspects of computational advertising.

​

Evolution of computational advertising: Online advertising has progressed 
beyond the notion of traditional desktop ads to ads that are native, social, 
mobile, and contextual. In tandem, the rise of new mechanisms, such as header 
bidding, complex ad exchanges, repeated auctions, ad blockers, viewability 
trackers and others, challenge the traditional notions of advertising. There 
also continues to exist controversial issues in advertising such as privacy, 
security, fraud, ethics, and economic attribution. We invite papers that are 
focused on some of the above aspects.

​

Large-scale and novel ad targeting: Recent advances in real-time, big data 
systems, and easier accessibility to different types of data make it possible 
to design more personalized and efficient ad targeting systems. We invite 
papers that advance the state-of-the-art in related areas of ad targeting.

​

Deployed systems & battle scars: We particularly encourage papers that 
highlight experience in deploying real-time ad targeting systems, data and 
audience insights, as well as position papers on the future of online 
advertising.



Submission Instructions:

Following KDD conference tradition, reviews are single-blind, and author names 
and affiliations should be listed. Submitted papers will be assessed based on 
their novelty, technical quality, potential impact, insightfulness, depth, 
clarity, and reproducibility. For each accepted paper, at least one author must 
attend the workshop and present the paper.

​

Submissions are limited to a total of six pages, including all content and 
references, must be in PDF format, and formatted according to the new Standard 
ACM Conference Proceedings Template. Additional information about formatting 
and style files is available 
here.


All accepted papers will be eligible to be published in the ACM Digital Library 
and will be archived on the AdKDD website.


Important Deadlines:

Submission :  May 25th, 2021

Decisions :  June 10th, 2021

Camera-ready :  June 20th, 2021

Video Submission: July 24, 2021

Workshop:  August 14th, 2021


Best Paper Awards:

We are happy to announce that we will award the best accepted papers for this 
year’s workshop. Details are to be disclosed shortly.


ML Challenge (organized and sponsored by Criteo):

Machine Learning Challenge on Aggregated, Differentially Private Data


The Online Advertising industry is seeing a major shift today in its 
operational constraints with a global movement towards more privacy. Popular 
techniques for privacy-compliant advertising such as aggregation and 
differential privacy 
mechanisms were shown to match high privacy standards but also raise concerns 
about the possibility to learn relevant machine learning models for ad 
placement.


We propose in this challenge to explore the trade-off between privacy level and 
prediction performance, on data donated by Criteo - an industry leader that 
already released several open datasets 
for research purposes. To anchor th

[UAI] CFP: The 17th International Conference on Mobility, Sensing and Networking (MSN 2021), December 13-15, 2021 · Exeter, U. K.

[IEEE MSN]

[Please accept our apologies if you have received multiple copies of this email]

MSN 2021 (https://ieee-msn.org/2021) provides a forum for academic
researchers and industry practitioners to present research progresses,
exchange new ideas, and identify future directions in the field of
Mobility, Sensing and Networking. MSN 2021 is technically sponsored by
IEEE.

- Scope and Objectives

Mobility, sensing and networking are the key areas of enabling
technologies for the next-generation networks, Internet of Things and
Cyber-Physical Systems. Recent years have witnessed the increasing
convergence of algorithms, protocols, and applications for mobility,
sensing and networking in a range of applications including connected
vehicles, smart cities, industries, and smart health. Building on the
past 16 years of success, the 17th International Conference on
Mobility, Sensing and Networking (MSN 2021) provides a forum for
academic researchers and industry practitioners to exchange new
research ideas, present their progress, and identify future directions
in the field of mobility, sensing and networking.

The conference solicits submissions from all research areas related to
mobility, sensing and networking, as well as their corresponding
systems and applications. Topics of interests are covered by the
following tracks:

❏ Algorithms, Theory, and Protocols
❏ Systems, Tools, Experiments & Applications
❏ Mobile & Wireless Sensing and Networking
❏ Edge Computing and IoT
❏ Network Security, Privacy, Trust, and Blockchain
❏ Big Data and AI in Networking

- Best Paper Awards and Journal Special Issues:

Three accepted papers will be selected for best paper awards. Selected
papers will be recommended to IEEE Transactions on Network Science and
Engineering (TNSE, IF: 5.213), and Elsevier Computer Communications
for potential fast-track publications.

- Submission Procedures

Submitted manuscripts must be prepared according to IEEE Computer
Society Proceedings Format (double column, 10pt font, letter paper)
and submitted in the PDF format. The manuscript submitted for review
should be no longer than 8 pages. After the manuscript is accepted,
the camera-ready paper may have up to 10 pages, subject to an
additional fee per extra page. Manuscripts should be submitted to one
of the research tracks. Submitted manuscripts must not contain
previously published material or be under consideration for
publication in another conference or journal at the time of
submission. Accepted papers will be included in the conference
proceedings and published in the IEEE Xplore digital library (indexed
by EI). Please follow the submission link on
https://easychair.org/my/conference?conf=msn2021 to submit your paper.

- Important Dates

Paper Submission Due: July 2, 2021
Author Notification: September 15, 2021
Camera-ready Due: October 20, 2021
Conference Date: December 13-15, 2021

- Track TPC Chairs:

❏ Algorithms, Theory, and Protocols
Chairs:  Kezhi Wang, University of Northumbria, U.K.
Chathura Sarathchandra, InterDigitial Europe, U.K.
❏ Systems, Tools, Experiments & Applications
Chairs: Xiaojun Zhai, University of Essex, U.K.
Faycal Bensaali, Qatar University, Qatar
❏ Mobile & Wireless Sensing and Networking
Chairs: Xinyu Zhang, University of California San Diego, USA
Yiannis Pefkianakis, Apple, USA
❏ Edge Computing and IoT
Chairs: Qun Li, College of William and Mary, USA
Zhenming Liu, College of William and Mary, USA
❏ Network Security, Privacy, Trust, and Blockchain
Chairs: Cong Wang, City University of Hong Kong, Hongkong.
David Mohaisen, University of Central Florida, USA
❏ Big Data and AI in Networking
Chairs: Hong Xu, Chinese University of Hong Kong, Hongkong
Pietro Manzoni, Universitat Politècnica de València, Spain

- Technical Program Committee Chairs:

Geyong Min, University of Exeter, U. K.
Baochun Li, University of Toronto, Canada

- General Chairs:

Mohammad Shojafar, University of Surrey, UK
Ruidong Li, Kanazawa University, Japan

- Steering Committee Co-Chairs:

Jiannong Cao, The Hong Kong Polytechnic University, HK
Xiaohua Jia, City University of Hong Kong, HK

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[UAI] [jobs] 4 PhD@IIT in Bioengineering and Robotics - Cognitive Robotics, Interaction and Rehabilitation Technologie

[Francesco Rea]

PhD course in Bioengineering and Robotics - Cognitive Robotics, Interaction and 
Rehabilitation Technologies

In  the  spirit  of  the  doctoral  School  on  Bioengineering  and  Robotics  
the  PhD  Program  for  the curriculum "Cognitive  Robotics,  Interaction  and  
Rehabilitation  Technologies" provides interdisciplinary  training  at  the  
interface  between  technology  and  life-sciences.

The 4 fully funded fellowships are offered this year by the Istituto Italiano 
di Tecnologia (IIT) and Università degli studi di Genova (course code 8638)  as 
part of this curriculum by the Robotics Brain and Cognitive 
Sciences Unit 
(RBCS) guided by Giulio Sandini and by the Unit COgNiTive Architecture for 
Collaborative Technologies (CONTACT) guided by Alessandra Sciutti:

 *   ENABLING ROBOTS TO UNDERSTAND AND ADAPT TO HUMANS
 *   ASSESSING AND TRAINING VISUO-HAPTIC EXPLORATION
 *   PROACTIVE MEMORY IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION
 *   ADAPTATION IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION
 *   TRUST AND SHARED PERCEPTION IN COGNITIVE ROBOTICS
http://phd.dibris.unige.it/biorob/media/PhD%20themes%2037o%20-%20Cognitive%20Robotics%20Interaction%20and%20RehabilitationTechno.pdf



All IIT units involved in this curriculum are located in the "Erzelli" site of 
the Italian Institute of Technology  and  share  research  facilities  
including,  beside  two  iCub  humanoid  robots,  eye-tracking and motion 
capture facilities.

All research themes are available at the Admission - Research Themes 
2021 
(http://phd.dibris.unige.it/biorob/index.php/how-to-apply) web page.

Visit the program page 
(http://phd.dibris.unige.it/biorob/index.php) for more information.

To apply:  full information is available at the general web page of the 37th 
cycle Ph.D.call - 2021/2022 of 
the Università degli studi di Genova. Applicants can download the complete 
notice of competition (the Call for 
applications),
 with general condition on Phd Courses and the application, the list of PhD 
programs,
 containing the Course description. Please follow the steps listed: 1. Choose 
the programme, 2. Review the application, 3. Get in contact with the 
supervisors, 4. Apply, following the detailed 
instructions
 and using the online 
procedure
 .



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[UAI] [meetings] Zoom Link and Schedule Announced: 2021 ICRA21 Workshop Machine Learning for Motion Planning

[Xuesu Xiao]

Workshop Location: https://utexas.zoom.us/j/91637134883

Workshop Date: May 31 2021

Workshop Schedule: https://sites.google.com/utexas.edu/mlmp-icra2021

 

 

Dear roboticists, 

 

we would like to invite you to participate in our workshop Machine Learning
for Motion Planning (https://sites.google.com/utexas.edu/mlmp-icra2021),
which will be held at ICRA 2021 on May 31 2021. For details, please see the
following CfP
(https://docs.google.com/document/d/1XvmGMlts_KZyBntVc_M5uGNoT5O5wnUNnD6ceJI
33E8/edit?usp=sharing).

 

Thanks

Xuesu

 

-- 

Xuesu Xiao, Ph.D.

Postdoctoral Researcher

Department of Computer Science

The University of Texas at Austin

GDC 3.418 +1 (512) 471-9765

x...@cs.utexas.edu  

https://www.cs.utexas.edu/~xiao/

 

 

Machine Learning for Motion Planning

Call for Participation

Workshop Location: https://utexas.zoom.us/j/91637134883

Workshop Date: May 31 2021

Workshop Website:  
https://sites.google.com/utexas.edu/mlmp-icra2021 

Submission Site:  
https://easychair.org/conferences/?conf=mlmp2021 

Submission Deadline: May 7th 2021

 

Motion planning is one of the core problems in robotics with applications
ranging from navigation to manipulation in complex cluttered environments.
It has a long history of research with methods promising full to
probabilistic completeness and optimality guarantees. However, challenges
still exist when classical motion planners face real-world robotics problems
in high dimensional or highly constrained workspaces. The community
continues to develop new strategies to overcome limitations associated with
these methods, which include computational and memory burdens, planning
representation, and the curse of dimensionality.

 

In contrast, recent advancements in machine learning have opened up new
perspectives for roboticists to look at the motion planning problem:
bottlenecks of classical motion planners can be addressed in a data-driven
manner; classical planners can go beyond the geometric sense and enable
orthogonal planning capabilities, such as planning with visual or semantic
input, or in a socially-compliant manner. 

 

The objective of this workshop is to bring the two research communities
under one forum to discuss the lessons learned, open questions, and future
directions of machine learning for motion planning. We aim to identify the
gaps and formalize the merging points between the two schools of
methodologies, e.g. workspace representation, sample generation, collision
checking, cost definition, and answer the questions of why, where, and how
to apply machine learning for motion planning. 

 

Papers of up to two-six pages are sought in the following topic areas:


Topics of interest: 


*   Data-driven approaches to motion planning
*   Learning-based adaptive sampling methods
*   Learning models for planning and control
*   Imitation learning for planning and control
*   Learning generalizable and transferable planning models
*   Representation learning for planning
*   Learning-based collision detection, edge selection, and pruning
techniques, and related topics
*   Data-efficiency in data-driven techniques to planning
*   Formal guarantees to machine learning-based planning methods
*   Learning methods for hierarchical planning such task and motion
planning, multi-model motion planning, and related topics
*   Active/lifelong/continual learning methods for planning and related
topics


Organizers: 


1.  Xuesu Xiao, Department of Computer Science, The University of Texas
at Austin, 2317 Speedway, Austin, TX 78712, USA, Phone: +1 (512) 471-9765,
Email:   x...@cs.utexas.edu, URL:
 https://www.cs.utexas.edu/~xiao/ (Primary
Contact)
2.  Ahmed H. Qureshi, Department of Electrical and Computer Engineering,
University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA,
Phone: +1 (858) 349-8122, Email:  
a1qur...@ucsd.edu, URL:  
https://qureshiahmed.github.io/ 
3.  Anastasiia Varava, School of Computer Science and Communication, KTH
Royal Institute of Technology,  SE-100 44 Stockholm, Sweden, Email:
 var...@kth.se, URL:  
https://anvarava.github.io/ 
4.  Michael Everett, Department of Aeronautics and Astronautics,
Massachusetts Institute of Technology, 77 Massachusetts Ave, 31-235C,
Cambridge, MA 02139, Phone: +1 (734) 476-2051, Email:  
m...@mit.edu, URL:   http://mfe.mit.edu 
5.  Michael C. Yip, Department of Electrical and Computer Engineering,
University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA,
Phone: +1 (858) 822-4778, Email:   y...@ucsd.edu, URL:
 ht

[UAI] [news] SARAS challenge on Multi-domain Endoscopic Surgeon Action Detection @ MICCAI 2021

[Fabio Cuzzolin]

We are organizing the "SARAS challenge on Multi-domain Endoscopic Surgeon
Action Detection" in conjunction with #MICCAI2021.

All interested in action detection, especially in the surgical domain, are
invited to participate:

https://saras-mesad.grand-challenge.org/


The challenge aims to explore approaches to action detection that leverage
information across domains in a multi-task setting.
Based on two datasets of videos of radical prostatectomy procedures
captured on both real and artificial data, the challenge will provide
valuable insight into how to learn surgical action detection models robust
to domain variations.

The most novel and the top-performing methods will be invited to deliver a
talk at the Challenge event.
Their authors will be invited as co-authors in a journal paper dedicated to
the Challenge.

Detailed instructions on the tasks, how to download the data and submit
your predictions for evaluation are provided on the website.

Dates

Challenge opens for registration: April 1, 2021
Training/Validation data release: April 27, 2021
Test data release: July 16, 2021
Result submission deadline: July 31, 2021
Final result announcement: August 5, 2021
Challenge date: September 27 - October 1, 2021
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[UAI] [IEEE ICHMS 2021] CfP: extended deadline May 31 - 2nd IEEE Intl. Conf. on Human-Machine Systems (hybrid event)

[Andreas Nuernberger]

* Call for Papers *

2nd IEEE International Conference on Human-Machine Systems (ICHMS 2021)
Magdeburg, Germany, 8-10 September 2021 (Hybrid Event)

Conference Theme: Human Centered Systems for our Digital World

https://www.ichms2021.de

The 2021 IEEE International Conference on Human-Machine Systems (ICHMS) 
will be held in Magdeburg, Germany. ICHMS will provide a remarkable 
opportunity for the academic and industrial communities to address new 
challenges and share solutions, and discuss future research directions 
in the important area of Human-Machines Systems.


ICHMS specifically covers contributions on research related to 
integrated human/machine systems at multiple scales, and includes areas 
such as human/machine interaction; cognitive ergonomics and engineering; 
assistive/companion technologies; human/machine system modeling, testing 
and evaluation; and fundamental issues of measurement and modeling of 
human-centered phenomena in engineered systems. The organization of 
ICHMS is based on the following Track types: Regular Track, Special 
Tracks (selected through a call) and PhD Track. The conference will also 
feature plenary speeches, panel sessions, tutorials, and poster 
sessions. Contributions are expected from academia, industry, and 
management agencies. All accepted papers will be published in conference 
proceedings and in IEEE Xplore.


Complete manuscripts must be electronically submitted through the 
conference website using EasyChair (https://www.ichms2021.de/cfp). 
Submitted manuscripts can be Regular (6pp), Short (4pp) or Poster (3pp) 
papers in IEEE two-column format, including figures, tables, and 
references. Please use the templates at Manuscript Templates for IEEE 
Conference Proceedings 
(https://www.ieee.org/conferences/publishing/templates.html) to prepare 
your paper. All submissions MUST be in PDF format. All accepted papers 
will be published in Conference Proceedings in IEEE Xplore.


* Important dates: *
 -  Deadline for submission of contributions for Regular Papers
and Special Tracks: May 31, 2021 (AoE)
 -  Acceptance notification: June 28, 2021
 -  Deadline for early registration and registration for
accepted papers: July 5, 2021
 -  Final papers due: July 12, 2021

Financial and Technical Sponsorship:
IEEE Systems, Man, and Cybernetics Society (https://www.ieeesmc.org/)

* Virtual/hybrid Participation *
We are currently planning to run IEEE ICHMS 2021 primarily as a regular 
conference with physical attendance, offering a rich social program to 
trigger creative and inspiring discussions. However, we are prepared to 
switch to a fully online interactive conference if necessary. In any 
way, we will offer ways for virtual/hybrid participation for those 
participants who are, e.g. due to travel restrictions, unable to attend 
or who prefer to attend virtually.


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[UAI] #ACDL2021, 4th Online & Onsite Advanced Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Italy - Early Registration: by Tuesday June 15, 2021

[Ludovico Montalcini]

#ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning &
#ArtificialIntelligence without Borders

ACDL 2021 – A Unique Experience:
#DataScience, #MachineLearning & #ArtificialIntelligence with the World’s
Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano

(Online attendance available)

Certosa di Pontignano, Siena - #Tuscany, Italy
July 19-23
https://acdl2021.icas.cc   a...@icas.cc

ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse
https://acdl2021.icas.cc/acdl-2021-as-acdl-2020-an-online-onsite-course/

REGISTRATION:
Early Registration: by Tuesday June 15, 2021

https://acdl2021.icas.cc/registration/

DEADLINES:
o Early Registration:  by Tuesday June 15, 2021 (GMT+01)
o Oral/Poster Presentation Submission Deadline: Tuesday June 15, 2021
(GMT+01)
o Late Registration: from Wednesday June 16, 2021
o Accommodation Reservation at Reservation at the Certosa di Pontignano: by
Saturday July 10, 2021
o Notification of Decision for Oral/Poster Presentation:  by Wednesday June
30, 2021

LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.
https://acdl2021.icas.cc/lecturers/

* Pierre Baldi, University of California Irvine, USA
* Bettina Berendt, KU Leuven, Belgium
* Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian
Federation
* Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft
Research Cambridge & University of Edinburgh
* Silvia Chiappa, DeepMind, London, UK
* Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI
* Marco Gori, University of Siena, Italy
* Georg Gottlob, Computer Science Dept, University of Oxford, UK
* Michael I. Jordan, University of California, Berkeley, USA
* Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK
* Panos Pardalos, University of Florida, USA
* Daniela Rus, MIT, USA Director of CSAIL
* Silvio Savarese, Stanford, University, USA Institute for Human-Centered
Artificial Intelligence
* Cristina Savin, New York University, Center for Neural Science and Center
for Data Science, USA
* Naftali Tishby, Hebrew University, Israel
* Isabel Valera, Saarland University, Germany Max Planck Institute for
Intelligent Systems, Tübingen, Germany
* Mihaela van der Schaar, University of Cambridge, UK

More Keynote Speakers to be announced soon.

TUTORIAL SPEAKER:

* Roman Belavkin, Middlesex University London, UK



PAST LECTURERS:
https://acdl2021.icas.cc/past-lecturers/
* Ioannis Antonoglou, Google DeepMind, UK
* Igor Babuschkin, DeepMind - Google, London, UK
* Pierre Baldi, University of California Irvine, USA
* Roman Belavkin, Middlesex University London, UK
* Yoshua Bengio, University of Montreal, Canada
* Michael Bronstein, Twitter & Imperial College London, UK
* Sergiy Butenko, Texas A&M University, USA
* Giuseppe Di Fatta, University of Reading, UK
* Marco Gori, University of Siena, Italy
* Yi-Ke Guo, Imperial College London, UK & Founding Director of Data
Science Institute
* Phillip Isola, MIT, USA
* Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab,
USA
* Diederik P. Kingma, Google Brain, San Francisco, CA, USA
* Ilias S. Kotsireas, Wilfrid Laurier University, Canada
* Risto Miikkulainen, University of Texas at Austin, USA
* Peter Norvig, Director of Research, Google
* Panos Pardalos, University of Florida, USA
* Alex 'Sandy' Pentland, MIT & Director of MIT’s Human Dynamics Laboratory,
USA
* José C. Principe, University of Florida, USA
* Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA
* Dolores Romero Morales, Copenhagen Business School, Denmark
* Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at
Apple, USA
* Guido Sanguinetti, The University of Edinburgh, UK
* Josh Tenenbaum, MIT, USA
* Naftali Tishby, Hebrew University, Israel
* Mihaela van der Schaar, University of Cambridge
* Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
* Oriol Vinyals, Google DeepMind, UK


SCOPE:
MSc students, PhD students, postdocs, junior/senior academics, and industry
practitioners will be typical profiles of the attendants. In fact, the
Advanced Course is not a summer school suited only for younger scholars.
Rather, a significant proportion of seasoned investigators are regularly
present among the attendees, often senior and junior faculty at their own
institutions. The balanced audience that we strive to maintain in each
Advanced Course greatly contributes to the development of intense
cross-disciplinary debates among faculty and participants that typically
address the most advanced and emerging areas of each topic.

Each faculty member presents lectures and discusses with the participants
for one entire day. Such long interaction together with the small,
exclusive Course size provides the uncommon opportunity to fully explore
the expertise of each faculty, often through one-to-one mentoring. This is
unparalleled and priceless.

The Certosa di Pontignano provides the perfect setting to a relaxed yet
int

[UAI] You don't want to miss the "Modeling Electrophysiological Activities" Online Course

[Mary]

Dear researchers, 
We are less than two weeks away from the "Modeling Electrophysiological 
Activities: From Single Neuron to Nervous Tissue" Online Course, which will be 
held by Dr. Damien Depannemaecker, Post-Doc researcher at Department of 
Integrative and Computational Neuroscience, Paris Saclay Institute of 
Neuroscience, France (Click HERE for more information about his researches and 
background). This course is coming after an introductory webinar, which you can 
watch now using the link below: 
https://sciencebeam.com/modeling-electrophysiological-activities/ 
This course aims to discuss models in neuroscience and particularly models of 
electrophysiological activities. During the course, we will discuss the field 
of application of such models. We will introduce the concepts of dynamical 
systems. Then we will implement these models during lab sessions. Finally, we 
will discuss the results of simulations in relation to the data obtained 
experimentally. 
Prospective Overview of Sessions:
➢ Session 1 (May 25th):
• Systems and complex system in neurosciences
• Origines of electrophysiological signals and measurements
• Electrophysiology and relevant features for computational modeling  (Membrane 
potential, Raster plot, Local field potential)
➢ Session 2:
• Understanding the time evolution of the electrophysiological signals from a 
dynamical systems point of view.
• Introduction to dynamical systems for neurosciences (Differential equations, 
Phase space representation, Stability and domain of attraction)
• Unidimensional and bi-dimensional models (Dynamics of integrate-and-fire 
models, Repertoire of 2 D models, Reduction of Hodgkin-Huxley model)
➢ Session 3:
• 2D and Higher dimensions models (Particular role of the reset, Possibility of 
chaos)
• Models of synapses
• Limits of models (Biophysical and mechanistic description, Phenomenology)
• Introduction to the first lab session (with Brian2 simulator)
➢ Session 4:
• First Lab Session:
- Repertoire of electrophysiological patterns
- Models of networks
- Global measure on simulations
➢ Session 5:
• Second lab session:
- analysis of the results
- relations to the data
• Conclusive discussion

• Due to time zone differences, the recorded sessions will be provided for the 
participants.
• A certificate is granted by ScienceBeam upon completion of the course.
• In case of group registration (more than 3 people), you benefit from a 15% 
discount on your registration fees.

Register NOW using the link below:
https://sciencebeam.com/online-course-modeling-electrophysiological-activities-from-single-neuron-to-nervous-tissue/
 

If you require more information, don’t hesitate to contact me.



Sincerely
Mary Reae
Human Neuroscience Department Manager

www.ScienceBeam.com
WhatsAppno: 008613380781282
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[UAI] Privacy-preserving ML Competition @ AdKDD

[Nemanja Djuric]

Criteo is organizing a competition of machine learning on aggregated, 
differentially private data in conjunction with the AdKDD'21 workshop. We 
thought it could be of interest to you and to the community of researchers and 
practitioners interested in machine learning and privacy.


In two words, the tasks are to learn click and sales prediction models that 
operate on aggregated, noisy data. We believe that the aggregation (features + 
labels), the noise level, and the high cardinality of features present novel, 
unique challenges.


The competition will last until July 31st and the top 3 winners of each task 
will share $20,000 of prize money and be invited to present their solution to 
the workshop at KDD'21.


Important information:

  *   Workshop website: https://www.adkdd.org/

  *   Competition website: https://competitions.codalab.org/competitions/31485

  *   Contact address: 
adkdd21challe...@googlegroups.com


Data and evaluation code will be open-sourced at the end of the challenge to 
permit publication of original solutions in relevant research venues.


Eustache Diemert, for the challenge organization team at Criteo

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[UAI] [meetings]ETFA21 - Workshop on Planning and Control of Industrial Robots - CfP

[Alessandro Umbrico]

Call for papers  (apologies for multiple posting)




Workshop Title

Towards the factory of the future: advancements in planning and control 
of industrial robots



Organized and Co-chaired by

Marco Faroni, National Research Council of Italy, CNR-STIIMA

Alessandro Umbrico, National Research Council of Italy, CNR-ISTC

Manuel Beschi, University of Brescia


https://2021.ieee-etfa.org/solicited-workshops/ws1-towards-the-factory-of-the-future-advancements-in-planning-and-control-of-industrial-robots/


The workshop will be held during the 26th International Conference on 
Emerging Technologies and Factory Automation (ETFA 2021 - 
https://2021.ieee-etfa.org/)



Important Dates

Submission deadline: June 11th

Acceptance notification: July 7th

Deadline for final manuscripts: July 14th





Aims and Objectives

***

Industrial robots play a key role in industrial automation. Robotic arms 
populate shop-floors: they are used for pick-and-place, assembly, 
inspection, and many other tasks, to increase the throughput of 
productive processes and alleviate fatigue and risks of human workers. A 
huge research effort has been put into the reasoning, planning, and 
control of robotic manipulators. Nonetheless, industrial implementations 
often do not exploit at full the great advancements made in these 
fields. This workshop aims to discuss how recent developments in the 
planning and control of robot manipulators, on the one hand, and the 
synergetic integration with results from Artificial Intelligence, on the 
other, can advance the state of the art and be applied to real-world 
manufacturing processes. Among the many challenges in the field, the 
workshop will focus on the following trends that emerged in recent years:



 *

   Human-robot collaboration: collaborative robots are expected to play
   a key role in the factories of the future. The collaboration between
   humans and robots is supposed to combine the dexterity and reasoning
   ability of humans with the precision and continuity of robots.
   Current industrial solutions often lack smoothness and collaboration
   results to be discontinuous. This occurs at different
   decision-making levels. For example, implementations of safety rules
   according to safety standards (e.g., ISO-TS 15066) stop the robot as
   soon as human workers enter the robot workspace. Moreover, robot
   trajectories are often pre-computed and do not adapt to the system
   changes. Finally, ordering, scheduling, and assignment of tasks do
   not model human behaviors and preferences, resulting in poor
   dependability and jeopardizing the overall collaboration experience.
   Recent advances in task and motion planning addressed this issue in
   many several ways. Innovative methods have been developed to improve
   safety, ergonomics, and the efficiency of the process. Nonetheless,
   a well-established common paradigm is still to come.

 *

   Cognitive manufacturing: a central aspect concerning the integration
   of AI and Robotics in modern manufacturing scenarios is the
   enhancement of perception and reasoning capabilities of robotic
   solutions. AI technologies can indeed help to endow robot
   controllers with the  necessary cognitive capabilities to
   “understand” the state of human operators and the environment as
   well as contextualize robot behaviors accordingly. A collaborative
   robot would, for example, dynamically adapt its behaviors to known
   skills and monitored physiological state of human workers (e.g.,
   ergonomics, cognitive load, fatigue, etc.) in order to achieve a
   smooth and natural interaction. Such higher level of cognition is
   crucial to systematically include human-factors in the loop and
   really enable symbiotic, personalized and adaptive interactions
   between humans and robots.

 *

   Flexible manipulation in challenging scenarios: pick-and-place,
   sorting, and packaging can be efficiently automatized when they are
   required to manipulate objects with low variability (similar sizes
   and shapes) and they are performed in structured environments.
   However, when it comes to partially structured environments or
   high-variability, current industrial solutions usually fail because
   of a lack of flexibility and efficiency. Similarly, manipulation of
   large and/or deformable objects is still a hard task to perform with
   robotic manipulators. Examples are those draping processes required
   in automotive and aerospace (carbon-fiber manipulation) and in the
   textile industry. Despite these topics have been addressed for a
   long time by researchers, real-world implementations and successful
   case studies are rare and only recent research projects are trying
   to effectively automatize these processes. These new solutions
   should integrate vision, learning, and planning.

[UAI] ISCMI21 (in memory of Life & Work of Prof. Lotfi Zadeh) - A virtual conference

[Suash Deb]

Dear colleagues,

This is to update you that after taking stock of the current global covid
situation, the core committee of IICCI has decided to hold 2021 8th Intl.
Conference on Soft Computing & Machine Intelligence (ISCMI21) in virtual
form. The formal announcement regarding the same has been uploaded at the
conference web site http://iscmi.us/

Thanks very much & hope to receive your manuscripts (deadline : 30th June)
in the coming days.

With kind rgds,

Suash
General Chair, ISCMI21
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[UAI] MobiSys 2021 - Call for Mentors

[yuukin]

Dear Colleagues,

*** Apologies for Cross-Postings ***

---
MobiSys 2021: Call for Mentors
---
Do you want to become a mentor as part of the MobiSys Student Mentorship 
Program?
Given COVID and online conferences, the students are getting a raw deal. We are 
organizing a series of events geared towards students at MobiSys 2021.

The ACM MobiSys Student Mentorship Program aims to bring together students and 
more senior researchers. We invite both researchers in academia and industry as 
well as senior PhD students to volunteer to be mentors. As a mentor you will 
engage with junior researchers, provide guidance and answer their questions 
either one-on-one or in small groups. 

Please fill out this form to volunteer to be a mentor: 
https://forms.gle/RyCm3xXDc67wyq2SA

We will arrange a match and the meetings can be arranged at your convenience a 
week before ACM MobiSys 2021. The conference itself is from June 24th -- July 
2nd. 

We also have other fun events planned during the conference to meet the 
students in a more “social” setting. Details to follow. Do take this 
opportunity to engage with the students at MobiSys. We want to continue the 
SIGMOBILE tradition of having an open and inclusive community. 


Call for Mentors:
https://www.sigmobile.org/mobisys/2021/mentors.html

Call for student applications:
https://www.sigmobile.org/mobisys/2021/student.html


---
Yuuki Nishiyama, Ph.D.
Research Associate, The University of Tokyo, Japan


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[UAI] [jobs] Research Administrator - Visual AI Lab @ Oxford Brookes

[Fabio Cuzzolin]

The Visual Artificial Intelligence Laboratory at Oxford Brookes University,
led by Professor Fabio Cuzzolin, is seeking a Research Administrator, to be
appointed as soon as possible after March 1st 2021, 0.2 FTE (one day a
week), for four years (48 months).

As Research Administrator you will provide comprehensive administrative
support for the research conducted in the Visual Artificial Intelligence
Laboratory, in particular under the new Epistemic AI Horizon 2020 research
project coordinated by Prof Cuzzolin.

You will support the project management activities concerning the Epistemic
AI H2020 project, take charge of all the relevant paperwork, help manage
the recruitment process of new research staff or students, arrange meetings
and interviews, advise academic staff about funding opportunities, organise
the induction of new members, liaise with the structure in regard of office
space and equipment, manage external communications, keep up to date with
current issues in a research environment and liaise with HR regarding visa
regulations.

The successful candidate will have significant demonstrable administrative
experience, minute-taking experience, good IT skills and an understanding
of centralised database management systems, an ability to work on their own
initiative, team-working experience, problem-solving skills, a flexible
approach to working and excellent communication skills.

Experience of working in an HE environment and experience of administrative
support for research and consultancy bids are desirable.

The Visual Artificial Intelligence Laboratory (
http://cms.brookes.ac.uk/staff/FabioCuzzolin/) is a fast-growing research
unit currently running on a budget of £3 million from eight live projects
funded by the EU (2), Innovate UK (2), Leverhulme, and others. Our research
interests span artificial intelligence, uncertainty theory, machine
learning, computer vision, autonomous driving, surgical and mobile
robotics, AI for healthcare.

You will join a vibrant and fast growing team foreseen to comprise 35+
people in 2021. You will support Prof Cuzzolin in the overall management of
the project and Laboratory.

You are encouraged to contact Prof Cuzzolin at fabio.cuzzo...@brookes.ac.uk
for more information and an informal feedback on your application.

You will also enjoy the benefits of working at Oxford Brookes University
with up to 38 days holiday, rising to 41 days holiday (this includes 13
Bank Holidays and Concessionary Days), a generous Local Government pension
scheme (14.7% Employer contribution rate), cycle to work scheme and access
to a variety of university facilities (NHS Dentist, Brookes Nursery, Gym
and sports facilities). For more information about benefits please see the
document 'All about Brookes' below.

 The University has adopted equality, diversity and inclusion as core
values.  We welcome applications from suitably qualified candidates
whatever their background, and especially from BAME candidates who are
under-represented in our workforce.

This role will not attract sufficient points to obtain a sponsored Skilled
Worker visa under the points-based immigration system, however applications
are welcome from candidates who don’t currently have the right to work in
the UK, but who would be eligible to obtain a visa via another route.
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[UAI] [jobs] KTP Associate in Video Scene Understanding and Inpainting

[Fabio Cuzzolin]

KTP Associate in Video Scene Understanding and Inpainting - Supponor Ltd

Salary:£38,000 to £40,000 per year
Closing date:08 June 2021

This role is a unique opportunity to work with Oxford Brookes specialists
to utilise machine learning to achieve real-time understanding of video
scenes and consistent segmentation of advertisement boards and sports pitch
objects without the use of existing infrared cameras and hardware
infrastructure.
You will be employed by the university and supervised by Prof. Fabio
Cuzzolin of the School of Engineering, Computing and Maths. Your place of
work will be Supponor’s offices in Hammersmith where you will lead a KTP
project funded by Innovate UK.

This is a full time, fixed term post for 3 years, subject to funding.

About Supponor Limited: Supponor is the leading provider of real-time, in
game, virtual advertising solutions to the sports industry. Our platform is
used in the worlds top tier sports leagues to provide authentic looking
virtual replacement of physical in-stadia advertising signage, allowing
brands to better target different audiences during live broadcasts. Learn
more at www.supponor.com.

About Oxford Brookes University

Oxford Brookes is one of the UK’s leading modern universities and enjoys an
international reputation for teaching excellence and innovation as well as
strong links with business and industry.

The successful candidate must have:
A degree and relevant experience as detailed in the full job specification
on our website. A desire to learn new skills and undergo job-related
training is also important.

Qualifications we require:
A minimum Master’s degree in Computer Science or a related discipline. A
PhD in machine learning, computer vision or related fields is desirable.

Essential skills we require as a minimum:
A good level of deep learning and machine learning skills, a high level of
skill with Python and experience with Torch or PyTorch.

If you would like an informal discussion about the role please contact
Professor Fabio Cuzzolin at

fabio.cuzzo...@brookes.ac.uk.

To apply please follow:

https://findajob.dwp.gov.uk/apply/5878507
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[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] First Call for Papers SSS 2021, held virtually November 17-20, 2021

[Bein, Doina]

[Apologies for multiple received copies of the email]

The 23rd International Symposium on Stabilization, Safety, and Security of 
Distributed Systems (SSS 2021) will be held virtually (due to COVID-19) on 
November 17-20, 2021.

IMPORTANT DATES
Abstract Submission:  August 2nd, 2021 (11:59 PM AoE)
Paper Submission: August 9th, 2021 (11:59 PM AoE)
Acceptance Notification:  September 17th, 2021
Camera-ready copy due:September 27th, 2021

SSS is an international forum for researchers and practitioners in the design 
and development of distributed systems with a focus on systems that are able to 
provide guarantees on their structure, performance, and/or security in the face 
of an adverse operational environment. The symposium encourages submissions of 
original contributions on fundamental research and practical applications 
concerning topics in the four symposium tracks:

Track A. Self-stabilizing Systems: Theory and Practice

Self-stabilizing systems; Self-stabilizing protocols and algorithms; 
Practically-stabilizing systems; Variants of Self-stabilization; Topological 
Stabilization; Stabilization and self-* properties in hardware, software, and 
middleware design; Self-stabilizing software defined infrastructure

Track B.  Foundations of Concurrent and Distributed Computing

Distributed and concurrent algorithms and data structures; Shared and 
transactional memory; Synchronization protocols; Distributed graph algorithms; 
Graph-theoretic concepts for communication networks; Peer-to-peer networks and 
dynamic networks; High-performance, cluster, cloud, and grid computing; Game 
theory and economical aspects of distributed computing; Formal methods, 
validation, verification, and synthesis.

Track C. Mobile and Robot Computing

Self-organization in mobile agents; mobile robots; mobile sensor networks; 
mobile ad-hoc networks; population protocols; programmable matter; nanoscale 
robots; biologically-inspired systems; and related new models.

Track D. Fault tolerance, Security, and Privacy

Network security; Privacy; Internet-of-things security; Cloud security; Mobile 
sensor networks/ad-hoc networks security; Verifiable/fault-tolerant computing; 
Anomaly and networked malware detection; Blockchain technologies and 
cryptocurrencies; Byzantine-fault tolerance and distributed consensus 
protocols; Secure multi-party computation; Applied cryptography.

PAPER SUBMISSION
Papers are to be submitted electronically through EasyChair:
https://easychair.org/conferences/?conf=sss2021

All submissions must conform to the formatting instructions of Springer LNCS 
series
(see 
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).
Each submission must be in English, in PDF format.

DOUBLE-BLIND REVIEW
All submissions must be anonymous. We will use a somewhat relaxed 
implementation of double-blind peer review this year: you are free to 
disseminate your work through arXiv and other online repositories and give 
presentations on your work as usual. However, please make sure you do not 
mention your own name or affiliation in the submission, and please do not 
include obvious references in the text that reveal your identity. A reviewer 
who has not previously seen the paper should be able to read it without 
accidentally learning the identity of the authors. Please feel free to ask the 
PC chairs if you have any questions about the double-blind policy of SSS 2021.

SUBMISSIONS
There are two types of submission: regular paper and brief announcement.

- A regular submission must not exceed 15 pages (including the title, authors, 
abstract, figures, and references). Additional necessary details for an expert 
to verify the main claims of the submission may be included in a clearly marked 
appendix if extra space is needed.

- A brief announcement submission must not exceed 5 pages and should not 
include any appendix.

Any submission deviating from these guidelines will be rejected without 
consideration of its merits. It is recommended that a regular submission begins 
with a succinct statement of the problem being addressed, a summary of the main 
results or conclusions, a brief explanation of their significance, a brief 
statement of the key ideas, and a comparison with related work, all tailored to 
a non-specialist. Technical development of the work, directed to the 
specialist, should follow. Papers outside of the conference scope will be 
rejected without review. If requested by the authors on the cover page, a 
regular submission that is not selected for a regular presentation will also be 
considered for the brief announcement format. This will not affect the 
consideration of the paper for a regular presentation.

PUBLICATION
Regular papers and brief announcements will be included in the conference 
proceedings. Conference proceedings will be published by Springer in the LNCS 
conference series.

SPECIAL ISSUE
Extended and revised versions of selected papers will b

[UAI] ICML 2021 Workshop on Machine Learning for Data (ML4data) — Call for Papers

[Willie Neiswanger]

=


Call for Papers: *ICML 2021 Workshop*

*Machine Learning for Data: Automated Creation, Privacy, Bias*

Website: https://sites.google.com/view/ml4data

Virtual conference

Date: July 23 or 24 (TBD), 2021 (submission deadline: June 10, 2021)


=


*Call for Papers:*


We invite researchers to submit their recent work that studies how ML
techniques can be used to facilitate and automate a range of data
operations (e.g. ML-assisted labeling, synthesis, selection, augmentation),
and the associated challenges of quality, security, privacy, and fairness
for which ML techniques can also enable solutions. Topics of interest
include but are not limited to:


- Methods of using ML to assist human annotators in data labeling.

- Methods of automated data engineering, such as synthesis, augmentation,
re-weighting, etc.

- Theories, methods, and studies to characterize, detect, or mitigate data
bias.

- Methods of detecting and preserving privacy information in data.

- Systems for automating data operations and analytics.

- Applications based on data-human-machine interactions.



Authors are welcome to submit 4-6 page papers, with unlimited space for
references and supplementary materials. The submissions should follow the
ICML 2021 style and formatting guidelines. The review process is
double-blind. The submissions should not have been previously published nor
have appeared in the ICML main conference. Work currently under submission
to another conference is welcome. Papers can be submitted at the following
link: 
https://cmt3.research.microsoft.com/ICML2021ML4data


Submissions will be accepted as contributed talks or poster presentations.
Accepted papers will be posted on the workshop website. Accepted papers are
free to appear in other journals or conference proceedings.



*Key Dates:*


Submission Deadline: June 10, 2021 (11:59pm AOE)

Acceptance Notification: July 1, 2021

Workshop: July 23 or July 24 (TBD), 2021



*Speakers:*


Kamalika Chaudhuri (UCSD)

Aleksandra Korolova (USC) (tentative)

Hoifung Poon (Microsoft)

Alex Ratner (UW)

Dawn Song (UCB)

Eric Xing (CMU)



*Organizers:*


Zhiting Hu (UCSD, Amazon)

Willie Neiswanger (Stanford)

Benedikt Boecking (CMU)

Erran Li (Amazon, Columbia)

Yi Xu (Amazon)

Belinda Zeng (Amazon)



*Workshop Overview:*


As the use of machine learning (ML) becomes ubiquitous, there is a growing
understanding and appreciation for the role that data plays for building
successful ML solutions. Classical ML research has been primarily focused
on learning algorithms and their guarantees. Recent progress has shown that
data is playing an increasingly central role in creating ML solutions, such
as the massive text data used for training powerful language models,
(semi-)automatic engineering of weak supervision data that enables
applications in few-labels settings, and various data augmentation and
manipulation techniques that lead to performance boosts on many real world
tasks. On the other hand, data is one of the main sources of security,
privacy, and bias issues in deploying ML solutions in the real world.


This workshop will focus on the new perspective of machine learning for
data — specifically how ML techniques can be used to facilitate and
automate a range of data operations (e.g. ML-assisted labeling, synthesis,
selection, augmentation), and the associated challenges of quality,
security, privacy and fairness for which ML techniques can also enable
solutions. In this workshop, we aim to bring together researchers and
practitioners working on methodology, theory, applications, and systems to
exchange ideas, identify key challenges, and advance the field towards the
most exciting and promising future directions.
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[UAI] 24th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Deadline: May 25th, 2021, November 22-26, 2021, Alicante, Spain

[Eirini Eleni Tsiropoulou]

--
Please accept our apologies if you have received multiple 
copies.
---
   Call for Papers - MSWiM 2021
   24th ACM International Conference on
Modeling, Analysis and Simulation of Wireless and Mobile Systems
(MSWiM' 21)
 
http://www.mswimconf.com
November 22-26, 2021, Alicante, Spain

(*Pending) Sponsored by ACM
---
Important: Paper submission deadline: May 25th, 2021
---

ACM MSWiM 2021 is the 24th Annual International Conference on Modeling, Analysis
and Simulation of Wireless and Mobile Systems. MSWiM is an international forum
dedicated to in-depth discussion of Wireless and Mobile systems, networks, 
algorithms
and applications, with an emphasis on rigorous performance evaluation. MSWiM is 
a highly
selective conference with a long track record of publishing innovative ideas and
breakthroughs. MSWiM 2021 will be held in Alicante, Spain.


*** Call for Papers ***

Authors are encouraged to submit full papers presenting new research related to 
the
theory or practice of all aspects of modeling, analysis and simulation of 
mobile and
wireless systems. Submitted papers must not have been published elsewhere nor 
currently
be under review by another conference or journal.


Papers related to wireless and mobile network modeling, analysis, design, and 
simulation
are solicited on, but not limited to, the following topics in mobile and 
wireless systems:

* Performance evaluation and modeling
* Analytical Models
* Simulation languages and tools for wireless systems
* Wireless measurements tools and experiences
* Formal methods for analysis of wireless systems
* Correctness, survivability and reliability evaluation
* Mobility modeling and management
* Models and protocols for cognitive radio networks
* Models and protocols for autonomic, or self-* networks
* Capacity, coverage and connectivity modeling and analysis
* Wireless network algorithms and protocols
* Software Defined Network
* Services for Smart City
* Wireless PANs, LANs
* Ad hoc and MESH networks
* Vehicular Ad-hoc Networks (VANET)
* Sensor and actuator networks
* Delay Tolerant Networks
* Integration of wired and wireless systems
* Pervasive computing and emerging models
* Wireless multimedia systems
* QoS provisioning in wireless and mobile networks
* Security and privacy of mobile/wireless systems
* Algorithms and protocols for energy efficient operation and power control
* Mobile applications, system software and algorithms
* RF channel modeling and analysis
* Design methodologies
* Tools, prototypes and testbeds
* Parallel and distributed simulation of wireless systems
* Wireless Communication and Mobile Networking
* Operating systems for mobile computations
* Programming language support for mobility
* Resource management techniques
* Management of mobile object systems
* Mobile cloud/edge/fog computing
* Mobile crowd-sourcing
* Mobile computing and application


*** Important Dates  ***

Paper Submission Deadline:May 25th, 2021
Notification of Acceptance: July 25th, 2021
Camera Ready version due: TBA
Conference dates:November 22-26, 2021


*** Submission ***

High-quality original papers are solicited. Papers must be unpublished and must 
not be
submitted for publication elsewhere. All papers will be reviewed by Technical 
Program
Committee members and other experts active in the field to ensure high quality 
and
relevance to the conference. Short papers will be included in the technical 
program to
complement mature results and foster discussion and exchange of novel ideas at 
an early
stage. More detailed instructions for paper submission will be provided soon. 
Accepted
papers will appear in the conference proceedings to be published by ACM Press.

Submission link EDAS: https://edas.info/N28160

IMPORTANT: ATTENDANCE BY AT LEAST ONE AUTHOR IS MANDATORY


*** ORGANIZING COMMITTEE***

General Chair:
 - Monica Aguilar Igartua, Universitat Politecnica de Catalunya, Spain


Program Co-Chairs:
- Carlo Giannelli, University of Ferrara, Italy
- Jun Zheng, Southeast University, China



--
Eirini Eleni Tsiropoulou
Assistant Professor

Department of Electrical and Computer Engineering
University of 

[UAI] 19th ACM International Symposium on Mobility Management and Wireless - ACM MobiWac 2021 - Deadline: July 5th, 2021

[Eirini Eleni Tsiropoulou]

Our apologies if you received multiple copies of this CFP


CALL FOR PAPERS
The 19th ACM* International Symposium on Mobility Management and Wireless
Access (ACM MobiWac 2021)

November 22 - 26, 2021 - Alicante, Spain
http://mobiwac-symposium.org/

 (*Pending) Sponsored by ACM

---
IMPORTANT:  Paper submission deadline: July 5th, 2021
---

The MobiWac series of events are intended to provide an international
forum for the discussion and presentation of original ideas, recent
results and achievements by researchers, students, and systems
developers on issues and challenges related to mobility management and
wireless access protocols. Authors are encouraged to submit both
theoretical and practical results of significance on all aspects of
wireless and mobile access technologies, with an emphasis on mobility
management and wireless access. Authors are invited to submit full
papers describing original research. Submitted papers must neither have
been published elsewhere nor currently be under review by another
conference or journal.

Topics of interest include, but are not limited to:

* 5G/6G
* AI-based mobility management
* AI-enabled wireless networks
* Analysis/simulation of wireless mobile systems
* Big data analytics for mobile and wireless networks
* Channels and resource allocation algorithms
* Context-aware protocols, services, architecture and applications
* Cyber-Physical Systems and Cyber-Physical Social Systems
* Energy and power management algorithms
* Fault tolerance solutions
* Localization and tracking
* Mobile and wireless entertainment and multimedia applications
* Mobile broadband wireless access
* Mobile cloud/fog/edge computing
* Mobile/vehicular environment access
* Mobility models, control and management
* Multi-Channel Multi-Radio MAC/network layer management
* Multi-Homing and vertical handoff
* Multi-technology switching using Software Defined Radios
* Next generation wireless systems
* Pervasive communication and computing
* Pervasive, mobile and wearable computing systems and services
* QoS management
* Reconfigurable Intelligent Surfaces and Mobility Management
* SDN solutions in mobile and wireless networks
* Security, trust management and privacy issues
* Social mobile networks and applications
* Testbeds for experimental and simulation analysis
* Ubiquitous and mobile access
* Wireless ad hoc and sensor networks
* Wireless applications and testbeds
* Wireless Internet and All-IP integration
* Wireless systems' design
* Wireless/mobile access protocols and web access



Submission Guidelines:

High-quality original papers are solicited. Papers must be unpublished
and must not be submitted for publication elsewhere. All papers will be
reviewed by Technical Program Committee members and other experts active
in the field to ensure high quality and relevance to the Symposium. The
symposium will have a single track for regular papers and in addition, a
separate interwoven track with short papers / posters. Paper length must
be no more than 10 pages, double column, ACM style including tables and
figures. Note that the regular paper size will be 8 pages, with the
possibility to obtain up to 2 additional pages (total 10 pages) by
paying a publication fee. Only PDF format is accepted. All accepted
papers will appear in the Symposium proceedings published by ACM press.

Papers are submitted via the EDAS system: https://edas.info/N28242

For any question or problems related to MobiWac 2021 submissions, please
contact the PC Chairs.



Important Dates:

Submission Deadline: July 5th, 2021
Notification of Acceptance: August 15th, 2021
Camera Ready version due: TBA
Author Registration deadline: TBA
Submission link: https://edas.info/N28242


Organizing Committee:

General Chair
   Azzedine Boukerche, University of Ottawa, Canada

Program Co-Chairs
   Eirini Eleni Tsiropoulou, University of New Mexico, USA
   Rodolfo W. L. Coutinho, Concordia University, Canada

Tutorials Chair
   Antonio A. F. Loureiro, Federal University of Minas Gerais, Brazil

Posters/Demo Chair
   Valeria Loscri, Inria, France

Publicity Co-Chairs
   Mirela. A. M. Notare, Technology University on Fly Transportation, Brazil




--
Eirini Eleni Tsiropoulou
Assistant Professor

Department of Electrical and Computer Engineering
University of New Mexico Albuquerque, NM, 87131
Office: 326B
Tel.: (505)-277-5501
Email: eir..

[UAI] Call for Participation: ICCV'2021 Understanding Social Behavior in Dyadic and Small Group Interactions Challenge

[Julio C. S. Jacques Junior]

We cordially invite you to participate in our ICCV’2021 Understanding Social 
Behavior in Dyadic and Small Group Interactions Challenge - 
http://chalearnlap.cvc.uab.es/challenge/45/description/


Description: to advance and motivate the research on visual human behavior 
analysis in dyadic and small group interactions, this challenge will use a 
large scale, multimodal, and multiview 
(UDIVA)
 dataset recently collected by our group, which provides many related 
challenges. It will address two different problems, divided in two competition 
tracks:

  1.  Automatic self-reported personality recognition of single individuals 
(i.e., a target person) during a dyadic interaction, from two individual views.

  2.  Behavior forecasting: the focus of this track will be to estimate future 
(up to N frames) 2D facial landmarks, hand, and upper body pose of a target 
individual in a dyadic interaction.


In both tasks, multiview and multimodal information (audio-visual, 
transcriptions, context and medatada) are expected to be exploited to solve the 
problem.


Important Dates:

  *   Dataset access request period open: 18th May, 2021

  *   Start of the Challenge (development phase): June 1st, 2021

  *   Start of test phase: September 1st, 2021

  *   End of the Challenge: September 17th, 2021

  *   Release of final results: September 30th, 2021


Top winning solutions will be invited to give a talk to present their work at 
the associated ICCV 2021 ChaLearn workshop 
(http://chalearnlap.cvc.uab.es/workshop/44/description/). In addition to this, 
challenge participants, as well as the research community in the field and from 
related disciplines (e.g. affective computing, social signal processing and 
human-computer interaction), are invited to submit a paper to be published in 
Proceedings of Machine Learning Research (PMLR). In line with these, we accept 
papers addressing the issues related to, but not limited to, these topics:

  *   Challenge related papers, describing their methods and results;

  *   Detection, understanding, modeling and synthesis of individual and 
interpersonal social signals and dynamics;

  *   Verbal/nonverbal communication analysis in dyadic and small groups;

  *   Contextual analysis in dyadic and small groups;

  *   Datasets, annotation protocols, and bias discovering/mitigation in dyadic 
and small groups;

  *   Interpretability/explainability in dyadic and small groups;

Important Dates:

  *   Paper submission deadline (PMLR): October 31st, 2021

  *   Author notification: November 30th, 2021

  *   Camera-ready: December 20th, 2021


ORGANIZATION and CONTACT*

Sergio Escalera*, Computer Vision Center (CVC) and University of Barcelona, 
Spain 
mailto:sergio.escalera.guerr...@gmail.com>>

Cristina Palmero*, Computer Vision Center (CVC) and University of Barcelona, 
Spain mailto:c.palmero.cantar...@gmail.com>>

Wei-Wei Tu, 4Paradigm Inc., China

Albert Clapés, Computer Vision Center (CVC), Spain

Julio C. S. Jacques Junior, Computer Vision Center (CVC/UAB), Spain


Sponsors: This event is sponsored by ChaLearn, 4Paradigm Inc., and Facebook 
Reality Labs. University of Barcelona, Computer Vision Center at Autonomous 
University of Barcelona, and Human Pose Recovery and Behavior Analysis (HuPBA) 
group, are the co-sponsors of the Challenge.


Prizes: Top winning solutions will be invited to give a talk to present their 
work at the associated ICCV 2021 ChaLearn workshop, will receive a winning 
certificate and will have free ICCV registration. Our sponsors are also 
offering the following prizes:

  *   Track 1: Top-1 solution: 1000$ / Top-2 solution: 500$ / Top-3 solution: 
300$

  *   Track 2: Top-1 solution: 1000$ / Top-2 solution: 500$ / Top-3 solution: 
300$

Honorable mention: based on the significance of the result in a particular 
trait/s (track 1) or body part (track 2) and the level of novelty/originality 
of the solution, in addition to top-3 solutions, we may announce additional 
honorable mentions, which will also receive a winning certificate and a free 
ICCV registration.

Julio C. S. Jacques Junior
Postdoctoral researcher at the Computer Vision Center (CVC), Spain
Research collaborator within HuPBA group at University of Barcelona (UB)

Computer Vision Center
CONFIDENTIALITY WARNING

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[UAI] CFP "Optimizing Development and Delivery of Personalized Medicine via Computational Intelligence" Special Session on @ IEEE CIBCB 2021:

[Manuel López-Ibáñez]

  
 

  SPECIAL SESSION:
  Optimizing
  Development and Delivery of Personalized Medicine via
  Computational
  Intelligence
18th
IEEE International Conference on Computational Intelligence in
Bioinformatics and Computational Biology (CIBCB), 13-15 October
2021,
Melbourne, Australia
https://federation.edu.au/cibcb2021
The
  IEEE CIBCB 2021 conference will bring together top researchers,
  practitioners, academics and students from around the globe to
  discuss the latest advances in the field of computational
  intelligence and its informatics, bioengineering and related
  fields.
  Computational intelligence approaches include artificial neural
  networks, fuzzy logic, evolutionary algorithms, hybrid algorithms
  and
  other emerging techniques.
This
  special session will present various aspects of the design and
  application of computational intelligence techniques to the
  development and delivery of personalised medicine (PM). Some
  personalised medical products, such as Advanced Therapy Medicinal
  Products (ATMPs) are at the intersection of multiple healthcare
  logistic networks and, due to their novelty, research around their
  commercialisation is still in its infancy from an operations
  research
  perspective. Topics of interest include, but are not limited, to
  the
  application of computational intelligence to the following areas:

  
 Optimization models for single and
  multi-echelon PM supply chains. 
  
  
 Innovation and emerging technologies in the
  manufacturing of ATMPs.
  
  
 PM supply chain coordination. 
  
  
 Demand forecasting and fair patient
  allocation for PM. 
  
  
 The effects of COVID-19 on the development
  and delivery of PM. 
  
  
 Managing perishable PM products. 
  
  
 Local versus global delivery of PM.
  

We
  accept long papers (up to 8 pages) and short papers (up 2 pages,
  which will find a place in a companion proceeding). The short
  papers
  can also discuss recently accepted/published papers appearing in a
  top conference or journal. 


Important
dates:
Deadline
  for submission: 30 May 2021
Notification
  of acceptance: 15 June 2021
Deadline
  for final paper submission: 15 July 2021


Chairs:
Andreea
Avramescu, andreea.avrame...@manchester.ac.uk
Richard
Allmendinger, richard.allmendig...@manchester.ac.uk
Manuel
López-Ibáñez, manuel.lopez-iba...@manchester.ac.uk


  
  

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[UAI] [meetings] ETFA21 - Workshop on Planning and Control of Industrial Robots - CfP

[Alessandro Umbrico]

Call for papers  (apologies for multiple posting)




Workshop Title

Towards the factory of the future: advancements in planning and control 
of industrial robots



Organized and Co-chaired by

Marco Faroni, National Research Council of Italy, CNR-STIIMA

Alessandro Umbrico, National Research Council of Italy, CNR-ISTC

Manuel Beschi, University of Brescia


https://2021.ieee-etfa.org/solicited-workshops/ws1-towards-the-factory-of-the-future-advancements-in-planning-and-control-of-industrial-robots/


The workshop will be held during the 26th International Conference on 
Emerging Technologies and Factory Automation (ETFA 2021 - 
https://2021.ieee-etfa.org/)



Important Dates

Submission deadline: June 11th

Acceptance notification: July 7th

Deadline for final manuscripts: July 14th





Aims and Objectives

***

Industrial robots play a key role in industrial automation. Robotic arms 
populate shop-floors: they are used for pick-and-place, assembly, 
inspection, and many other tasks, to increase the throughput of 
productive processes and alleviate fatigue and risks of human workers. A 
huge research effort has been put into the reasoning, planning, and 
control of robotic manipulators. Nonetheless, industrial implementations 
often do not exploit at full the great advancements made in these 
fields. This workshop aims to discuss how recent developments in the 
planning and control of robot manipulators, on the one hand, and the 
synergetic integration with results from Artificial Intelligence, on the 
other, can advance the state of the art and be applied to real-world 
manufacturing processes. Among the many challenges in the field, the 
workshop will focus on the following trends that emerged in recent years:



 *

   Human-robot collaboration: collaborative robots are expected to play
   a key role in the factories of the future. The collaboration between
   humans and robots is supposed to combine the dexterity and reasoning
   ability of humans with the precision and continuity of robots.
   Current industrial solutions often lack smoothness and collaboration
   results to be discontinuous. This occurs at different
   decision-making levels. For example, implementations of safety rules
   according to safety standards (e.g., ISO-TS 15066) stop the robot as
   soon as human workers enter the robot workspace. Moreover, robot
   trajectories are often pre-computed and do not adapt to the system
   changes. Finally, ordering, scheduling, and assignment of tasks do
   not model human behaviors and preferences, resulting in poor
   dependability and jeopardizing the overall collaboration experience.
   Recent advances in task and motion planning addressed this issue in
   many several ways. Innovative methods have been developed to improve
   safety, ergonomics, and the efficiency of the process. Nonetheless,
   a well-established common paradigm is still to come.

 *

   Cognitive manufacturing: a central aspect concerning the integration
   of AI and Robotics in modern manufacturing scenarios is the
   enhancement of perception and reasoning capabilities of robotic
   solutions. AI technologies can indeed help to endow robot
   controllers with the  necessary cognitive capabilities to
   “understand” the state of human operators and the environment as
   well as contextualize robot behaviors accordingly. A collaborative
   robot would, for example, dynamically adapt its behaviors to known
   skills and monitored physiological state of human workers (e.g.,
   ergonomics, cognitive load, fatigue, etc.) in order to achieve a
   smooth and natural interaction. Such higher level of cognition is
   crucial to systematically include human-factors in the loop and
   really enable symbiotic, personalized and adaptive interactions
   between humans and robots.

 *

   Flexible manipulation in challenging scenarios: pick-and-place,
   sorting, and packaging can be efficiently automatized when they are
   required to manipulate objects with low variability (similar sizes
   and shapes) and they are performed in structured environments.
   However, when it comes to partially structured environments or
   high-variability, current industrial solutions usually fail because
   of a lack of flexibility and efficiency. Similarly, manipulation of
   large and/or deformable objects is still a hard task to perform with
   robotic manipulators. Examples are those draping processes required
   in automotive and aerospace (carbon-fiber manipulation) and in the
   textile industry. Despite these topics have been addressed for a
   long time by researchers, real-world implementations and successful
   case studies are rare and only recent research projects are trying
   to effectively automatize these processes. These new solutions
   should integrate vision, learning, and planning.