[UAI] [Call-for-Papers] (Abstract deadline approaching!) ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems

[ACSOS Publicity]

***
** ACSOS 2021 - Call For Papers ***
***
*  2nd IEEE International Conference on   *
*  Autonomic Computing & Self-Organizing Systems  *
* *
*  27 September -- 1 October 2021 *
*  Washington, DC, USA    *
* *
*  http://2021.acsos.org/ *
*  https://twitter.com/ACSOSconf  *
* *
***
***

*
* Important Dates ***
*

  - Main-Track Abstract submission deadline: *April 16th, 2021*
  - Main-Track Paper submission deadline: *April 23th, 2021*
  - Notification to authors: *June 25th, 2021*
  - Camera ready: *August 13th, 2021*
  - ACSOS Conference: *September 27th -- October 1st, 2021*

All times in Anywhere on Earth (AoE) timezone.

*
* Summary of Calls **
*

- Accelerating Convergence Between Academia and Industry (ACAI)

  Call for Abstracts / Profile submission deadline: June 25th, 2021
- Doctoral Symposium

  Submission deadline: June 26th, 2021
- Call for Tutorials

  Tutorial proposal deadline: July 2nd, 2021
- Call for Posters and Demos

  Poster / Demo submission deadline: July 9th, 2021


 Goals and Mission *


The goal of the IEEE International Conference on Autonomic Computing and 
Self-Organizing Systems (ACSOS) is to provide a forum for sharing the 
latest research results, ideas and experiences in autonomic computing, 
self-adaptation and self-organization. ACSOS was founded in 2020 as a 
merger of the IEEE International Conference on Autonomic Computing 
(ICAC) and the IEEE International Conference on Self-Adaptive and 
Self-Organizing Systems (SASO).


Emerging large-scale systems (including data centers, cloud computing, 
smart cities, cyber-physical systems, sensor networks, and embedded or 
pervasive environments) are becoming increasingly complex, 
heterogeneous, and difficult to manage. The challenges of designing, 
controlling, managing, monitoring, and evolving such complex systems in 
a principled way led the scientific community to look for inspiration in 
diverse fields, such as biology, biochemistry, physics, complex systems, 
control theory, artificial intelligence, and sociology. To address these 
challenges novel modeling and engineering techniques are needed that 
help to understand how local behavior and global behavior relate to each 
other. Such models and practices are a key condition for understanding, 
controlling, and designing the emergent behavior in autonomic and 
self-adaptive systems.


The mission of ACSOS is to provide an interdisciplinary forum for 
researchers and industry practitioners to address these challenges to 
make resources, applications, and systems more autonomic, self-adaptive, 
and self-organizing. ACSOS provides a venue to share and present their 
experiences, discuss challenges, and report state-of-the-art and 
in-progress research. The conference program will include technical 
research papers, in-practice experience reports, vision papers, posters, 
demos, and a doctoral symposium.


*
** Scope*
*

We invite novel contributions related to the fundamental understanding 
of autonomic computing, self-adaption and self-organization along with 
principles and practices of their engineering and application. The 
topics of interest include, but are not limited to:


 * /Autonomic and Self-* system properties/: robustness; resilience; 
efficient resource management; stability; anti-fragility; diversity; 
self-reference and reflection; emergent behavior; computational 
awareness and self-awareness;
 * /Autonomic and Self-* systems theory/: bio-inspired and 
socially-inspired paradigms and heuristics; theoretical frameworks and 
models; languages and formal methods; queuing and control theory; 
requirement and goal expression techniques; uncertainty as a first class 
entity;
 * /Auto

[UAI] AISTATS 2021 Mentorship Sessions

[Wittawat Jitkrittum]

Dear all,


(posting on behalf of the AISTATS 2021 organizing team)


We are happy to announce that AISTATS 2021 (April 13-15) is hosting
mentorship sessions during the conference dates and welcome your
participation as a mentor or mentee.

We are going to use a web system Mementor (https://mementor.net/), which
supports mentors and mentees to have an online mentorship session.  For the
details of how it works, please check

https://docs.google.com/document/d/1grcT1s118n1Mhbj3ezpUeIc5aFIZWjsZpll4NcgxTKs/edit?usp=sharing

The mentorship sessions are scheduled in the following time slots (Pacific
Daylight Time).

Day 1. April 13 (Tue) 12:30-14:00 (other time zones)

,

Day 1. April 13 (Tue) 20:30-22:00 (time zones

),

Day 2. April 14 (Wed) 04:00-06:00 (time zones)


Day 2. April 14 (Wed)15:00-16:00 (time zones

)

Day 2. April 14 (Wed)17:30-19:00 (time zones

)

Day 3. April 15 (Thu) 04:00-06:00 (time zones

)

Day 3. April 15 (Thu) 09:45-11:45 (time zones

)

The latest version of the whole program can be found at

https://docs.google.com/spreadsheets/d/1KTYjJ05Ief5vud-8n5rsyzd2qWwluVNxCpW6YO-jZD4/edit?usp=sharing


AISTATS 20201 is a fully virtual conference and is welcoming registration
now. Please visit

https://aistats.org/aistats2021/

Features of AISTAST 2021:

   -

   Three invited talks, 48 oral presentations, and 455 accepted papers in
   the poster sessions.
   Invited speakers:
   -

  Professor Bin Yu (University of California, Berkeley)
  -

  Professor Emmanuel Candès (Stanford University)
  -

  Professor Kyle Cranmer (New York University)
  -

   Each accepted paper will have a pre-recorded talk and live poster
   session.  In addition, oral presentations, including the invited talks,
   will have live Q&A.
   -

   Social events including mentoring sessions will be scheduled.
   -

   Interactions with other participants on Gather.town.

Accepted Papers: https://aistats.org/aistats2021/accepted.html

Please contact us at aistats202...@gmail.com if you have questions or
comments.

Thank you,
The AISTATS 2021 organizing team
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[UAI] [CFP] 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021)

[Suash Deb]

CFP: 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI
2021)

The 2021 8th Intl. Conference on Soft Computing & Machine Intelligence
(ISCMI 2021) will be held in Cairo, Egypt during November 21-22, 2021. The
main objective of ISCMI 2021 is to present the latest research and results
of scientists related to Soft Computing & Machine Intelligence topics. This
conference provides opportunities for the delegates to exchange new ideas
face-to-face, to establish business or research relations as well as to
find global partners for future collaborations. We hope that the conference
results will lead to significant contributions to the knowledge in these
up- to- date scientific fields. ISCMI 2021 is organized by India
International Congress on Computational Intelligence(IICCI), and
technically sponsored by the IEEE Africa Council and and IEEE Computational
Intelligence Society (Egypt Chapter).

All submissions will be peer reviewed, and all accepted papers will be
published in ISCMI 2021 conference proceedings which are expected to be
included in IEEE Xplore and indexed by EI Compendex, Scopus, etc.

A special issue of "Neural Computing & Applications", a Springer
Publication [SCIE indexed, 2019 lmpact Factor : 4.774, 5 Year Impact Factor
: 4.627; ISSN: 0941-0643 (print version) ISSN: 1433-3058 (electronic
version)], will publish a selected set of extended versions of ISCMI21
papers (to be shortlisted after the conference), after the usual reviewing
of those papers.
(ISCMI 2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 & ISCMI2019
have been included in the IEEE Xplore！)
Papers of ISCMI2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 &
ISCMI2019 have all been indexed by Ei Compendex and Scopus!

Topics of interest for submission include, but are not limited to:
Advanced Intelligent Systems
Ant Colony Optimization and Swarm Intelligence
Artificial Immune Systems
Artificial Intelligence
Artificial Life
Associative Memory
Automatic Annotation
Bioinformatics and Biological Computing
Case-Based and Temporal Reasoning
Cognitive Science
Computational Intelligence
Computational Intelligence in Bioinformatics and Computational Biology
Computer Vision Systems
Connectionism
Data Fusion
Data Mining and Data Fusion
Data Mining and Knowledge Discovery
Decision Support Systems
Distributed Artificial Intelligence
DNA Computing
Emotional Intelligence
Evaluation and Refinement of Intelligent Systems
Evolutionary Computation
Evolutionary Optimization
Evolutionary Strategies
Feature Extraction
Firefly Algorithm
Fuzziness in Chaotic Systems
Fuzziness in Multi-Agent Systems
Fuzzy Aggregation Techniques
Fuzzy Control
Fuzzy Decision Making
Fuzzy Inference
Fuzzy Logic and Systems
Fuzzy Mathematics
Fuzzy Optimisation
Fuzzy Reconfigurable Systems
Fuzzy Systems and Hardware
Genetic Algorithms

Human-machine Interaction
Intelligent Classification
Intelligent Control
Intelligent Distributed Sensor Networks
Intelligent Hybrid Systems
Intelligent Image Processing
Intelligent Information Retrieval
Intelligent Information Systems
Intelligent Measurement
Intelligent Signal Processing
Intelligent Systems
Intelligent Tutoring Systems
Interval Computation
Knowledge Discovery
Knowledge Representation
Learning and Memory
Logical and Probabilistic Inference
Machine Learning
Mechatronics
Modeling the Real World through Contexts
Multi-Agent Systems
Multimedia Mining
Natural Language Processing
Neural Networks
Neuro-fuzzy Systems
Ontology-based Intelligent Systems
Particle Swarm Optimization
Pattern Recognition
Probabilistic Reasoning
Reinforcement Learning
Robotic Technologies
Rough Sets
Spatio-Temporal Reasoning
Statistical and Structural Pattern Recognition
Support Vector Machines
Swarm Intelligence
Syntactic and Semantic Processing
Uncertain Reasoning
Web Mining

Submission Methods
1.Full Paper (Presentation and Publication)
Accepted full paper will be invited to give the oral presentation at the
conference and be published in the conference proceeding.

2.Abstract (Presentation only)
Accepted abstract will be invited to give the oral presentation at the
conference, the presentation will not be published.

Please log in the Electronic Submission System; ( .pdf only) to submit your
full paper and abstract.

http://iscmi.us/index.html
http://iscmi.us/submission.html

For any inquiry about the conference, please feel free to contact us at:
s...@iscmi.us .

Page Requirements
Each paper should have no less than 4 pages normally, including all
figures, tables, and references.
One regular registration is within FIVE Pages. Extra pages will be charged.

Submission Requests
All submitted articles should report original, previously unpublished
research results, experimental or theoretical. Articles submitted to the
conference should meet these criteria and must not be under consideration
for publication elsewhere. We firmly believe that ethical conduct is the
most essential virtual of any academic. Hence any 

[UAI] ACM IUI 2021: Call for participation

[Axel Soto]

*** ACM IUI 2021: Call for Participation ***
* Virtually hosted by Texas A&M University
* April 13-17, 2021
* http://iui.acm.org/2021/
* Contact: registration2...@iui.acm.org

## Registration deadline
April 9, 2021

## Registration link
https://iui.acm.org/2021/registration.html


## ACM IUI 2021
ACM IUI 2021 is the 26th annual premier international forum for reporting  
outstanding research and development on intelligent user interfaces.


ACM IUI is where the Human-Computer Interaction (HCI) and Artificial  
Intelligence (AI) communities meet, with contributions from related fields  
such as psychology, behavioral science, cognitive science, computer  
graphics, design, the arts, and more. Our focus is on improving the  
interaction between humans and digital technology, by leveraging both HCI  
approaches and state-of-the art AI techniques from machine learning,  
natural language processing, data mining, knowledge representation and  
reasoning.

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[UAI] AIME 2021: Call for Doctoral Consortium

[Allan Tucker (Staff)]

https://aime21.aimedicine.info

Call for Doctoral Consortium Papers: AIME 2021

***EXTENDED DEADLINE***

Important Dates
Submission deadline: April 12, 2021
Notification of acceptance:   April 28, 2021
Camera-ready submission deadline:   May 21, 2021
Doctoral Consortium: June 16, 2021


The 9th Doctoral Consortium in conjunction with the AIME 2021 conference will 
provide an opportunity for PhD students to present their research plans or 
their preliminary work in an informal and supportive atmosphere. The PhD 
students will be able to discuss their plans, preliminary results (optional), 
and the specific problems they are encountering. They will get feedback and 
advice from the Academic Panel including a number of prominent academic 
researchers with substantial experience in the field who will actively give 
constructive feedback and advice and contribute to the discussions.

The Doctoral Consortium will host the presentations by at most 6 PhD students 
who will be selected by the Doctoral Consortium chair. It will also include a 
short intensive tutorial on structuring a research paper (and the corresponding 
work) on different topics and with different perspectives (theoretical, 
methodological, experimental, application-oriented), and will be concluded with 
a general discussion and evaluation.

Submission

Unlike other conference submissions, a Doctoral Consortium submission pertains 
specifically to the PhD thesis as a whole or part thereof (thereafter both will 
be termed the research work). Submissions should describe (in 2000-2500 words, 
approx. 4-5 pages) a research plan on a topic related to AI in medicine and 
include the following elements:

Title and author,
The problem, with an argument of why it is important,
The goal and the research questions,
The planned approach and methods for solving the problem
An outline of what is already known about the research problem
The expected results from the research work like overviews, algorithms, 
better understanding of a concept, a pilot, model or system,
Any questions you might have or problems you encounter for which you 
specifically would like feedback on such as:
Do I need to write a systematic review before I start?
How should I proceed?
Where should I consider publishing?
How should I evaluate my work?
Which courses would suit me best to carry out the work?
Is it normal to meet my supervisor once a week/month/year?

Submissions be formatted according to the Springer’s LNCS format (see 
http://www.springer.de/comp/lncs/authors.html) and send by e-mail in PDF format 
to David Riaño with the subject line AIME19 Doctoral Consortium submission. 
(Note: Each submission will be confirmed by a return message. If a confirmation 
message has not been received within 5 days after submission, please contact 
David Riaño to inform about it).

Submissions will be reviewed by members of the Academic Panel and by submitting 
students (each student will be asked to review one submission prepared by 
another person). Based on reviews, the Doctoral Consortium chair will select 
about 6 submissions to be presented and discussed during the meeting. The 
selection will be based on the relevancy to AI in medicine topics (see for 
example the scope for AIME 2019), relevancy to the doctoral consortium (there 
is for example no point to present finished work at the meeting), the clarity 
of writing, and the resulting spectrum of presented topics. Selected 
submissions will appear in workshop notes that will be distributed among 
conference participants.

For more information about the Doctoral Consortium please contact to David 
Riaño (david.ri...@urv.cat)

Participation

Students accepted for the Doctoral Consortium will be offered participation 
grants to cover their registration fees for the Consortium and for the main 
conference. Moreover, the Consortium is opened for audience - anybody 
interested in presentations and discussion is welcome to come.


Dr Allan Tucker
Reader
Head of Intelligent Data Analysis Group: https://ida-research.net

Brunel University London
College of Engineering, Design and Physical Sciences

Department of Computer Science

Brunel University London, Uxbridge, UB8 3PH, United Kingdom
http://www.brunel.ac.uk/cs


Student Support



The University will be closed for the Easter break from Monday 29 March and 
will reopen on Wednesday 7 April. If you are living on campus, your Residences 
Office will be open each day and our Security team will be available 24/7 in 
case of an emergency.



Whether on campus or off, Student 
Space is an 
free online tool by Student Minds to help support students with mental

[UAI] One post-doctoral research position in Bayesian statistics and machine learning at the University of Hong Kong

[Michael Zhang]

Asst. Prof. Michael Zhang at the University of Hong Kong's Department of 
Statistics and Actuarial Science is recruiting one post-doctoral 
researcher for a duration of two years. Applicants for this position 
should:


1.) Possess a doctoral degree prior to starting the post-doc.
2.) Have a strong record of published research in Bayesian statistics, 
machine learning, or computational statistics.


Applicants may look at http://michaelzhang01.github.io/ to see Prof. 
Zhang's research interests. All prospective applicants must submit a CV, 
a statement of proposed research and one representative paper of your 
research to mzhan...@hku.hk.


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[UAI] [jobs] Research fellow in Epistemic Artificial Intelligence - May 3

[Fabio Cuzzolin]

The Visual Artificial Intelligence Laboratory at Oxford Brookes University,
led by Professor Fabio Cuzzolin, is seeking a Research Fellow in Epistemic
Artificial Intelligence, to be appointed as soon as possible after March
1 2021, full-time, for four years (48 months).

The deadline for application is May 3 2021.

Salary: £32,817 rising annually to £35,845.

The Research Fellow will lead the Lab’s efforts in the context of a new
Horizon 2020 FET project “Epistemic AI” coordinated by Oxford Brookes. The
project’s overarching objective is to develop a new paradigm for a
next-generation artificial intelligence providing worst-case guarantees on
its predictions thanks to a proper modelling of real-world uncertainties.
The project re-imagines AI from the foundations, with the aim of providing
a proper treatment of the ‘epistemic’ uncertainty stemming from a machine’s
forcibly partial knowledge of the world by means of advanced uncertainty
theory.

In particular, the work will focus on employing uncertainty measures (such
as non-additive probabilities and random sets) to ‘robustify’ statistical
learning and unsupervised learning (e.g. by generalising generative
adversarial networks), create a robust theory of supervised learning (e.g.
by devising suitable loss functions for random sets and convex sets of
probabilities) and propose an epistemic reinforcement learning framework by
reformulating sequential decision making under second-order uncertainty.
The new epistemic learning paradigms will be validated in the autonomous
driving application scenario.

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. We are
leaders in the field of deep learning for action detection, but our
research interests span artificial intelligence, uncertainty theory,
machine learning, computer vision, autonomous driving, surgical and mobile
robotics, AI for healthcare. The Lab is currently pioneering frontier
topics in AI such as machine theory of mind, self-supervised learning,
continual learning and future event prediction. The Laboratory is part of
the University’s new Institute for Ethical AI and is in the process of
launching a new start-up to develop the world’s first AI-powered coaching
app for competitive sports.

For an overview of our research themes and projects, please consult

https://cms.brookes.ac.uk/staff/FabioCuzzolin/files/Our%20research%20strategies.pdf

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 will be assisted by another research fellow and two PhD
students on the project. You will be working on a network of cutting edge
4-GPU and 8-GPU workstations, mentor PhD and MSc students and seek
additional external funding to complement the Lab’s existing activities.

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

To formally apply, please follow the instructions provided here:

https://www.jobs.ac.uk/job/CFB946/research-fellow-in-epistemic-artificial-intelligence
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