[UAI] 2018 European Conference on Ambient Intelligence (AmI 2018): Last Mile for Paper Submission (***final extension***)

[George Angelos Papadopoulos]

*** LAST MILE FOR PAPER SUBMISSION ***

2018 European Conference on Ambient Intelligence (AmI 2018)

Golden Bay Beach Hotel, Larnaca, Cyprus, 12-14 November, 2018

http://www.cyprusconferences.org/ami2018

 *** Submission Deadline: 7th July 2018 (final) ***


Ambient intelligence refers to normal working and living environments being 
surrounded by embedded devices that can merge unobtrusively and in
natural ways using information and intelligence hidden in the network
connecting these devices (e.g. The Internet of Things). Such devices, each
specialised in one or more capabilities, are intended to work together based
on an infrastructure of intelligent systems, to provide a variety of services
improving safety, security and the quality of life in ordinary living, 
travelling
and working environments.


ABOUT AMI 2018

The 2018 European Conference on Ambient Intelligence (AmI 2018) has a
focus on the role of Ambient Intelligence

"Towards a Smart and Human Centered Internet of Things".

We invite submissions of full and short papers as well as posters, presenting
original research. AmI 2018 is an interdisciplinary venue for leading
international researchers, designers, and practitioners that present and
discuss new results in Ambient Intelligence.

AmI builds on the success of thirteen predecessor conferences, which
started in 2003 with the EUSAI-event in Veldhoven, The Netherlands. More
information about the AmI series can be found here:
http://ami-conferences.org .

The Proceedings of AmI 2018 will be published by Springer in the Lecture
Notes in Computer Science (LNCS) series. Furthermore, Springer will sponsor
the Best Paper Award with 1,000 EUR.


TOPICS

AmI 2018 will revolve around the focus topic “Towards a Smart and Human-
Centred Internet of Things” that follows the vision of Calm Technology,
where technology is useful but does not demand our full attention or
interfere with our usual behavior and activities.

Relevant research topics include, but are not limited to:

• Sensors and Actuators Networks
• Ambient Networking and Communication
• Mobile, Ubiquitous and Pervasive Computing
• Internet of Things and Interconnected devices
• Internet of Humans and Human Sensors
• Artificial Intelligence Models, Methods and Techniques
• Machine Learning, Data mining  and Big Data
• Modelling Context Awareness and Location-based Services
• Agent Technologies and Multi-agent Platforms
• Cloud Computing for Intelligent Ambients
• Multimodal Human-Computer Interaction
• Virtual, Mixed and Augmented Reality
• Symmetric Interaction in Real and Virtual worlds
• Reliability, Assurance and Safety
• Security, Privacy and Trust
• Systems Architecture and Middleware
• Software Development Methodologies and Tools
• Robotic Companions
• Industrial Internet and Industry 4.0
• Sustainability and Fair Trade
• Smart Homes and Intelligent buildings
• Energy Efficiency
• Ambient Assisted Living
• Healthcare and Well-being
• Smart Cities
• Connected Cars and Autonomous Driving
• Pervasive Games in Hybrid Worlds
• Ambient Intelligence Education
• Evaluation methods and techniques for Trials
• Citizen science, Living labs, Maker communities


PAPER AND POSTER SUBMISSION

Papers must be anonymized to facilitate blind review. Authors are
encouraged to minimize any references that may reveal the identity of the
authors and their institutions. Relevant references to an author's previous
research should not be suppressed but instead referenced in a neutral way.
All papers will be reviewed by at least three Program Committee members.

The length of each paper including figures and references may not exceed
16 pages for regular papers and 6 pages for short papers. The posters
session aims to collect papers showing work in progress and thus raise
opportunities to present and discuss current work in an informal setting.
These papers will be presented as posters in the conference. Poster
contributions may not exceed 2 pages, including figures and references.

For more information about what should be considered a regular, short
or poster contribution, please refer to the conference web site.

All paper and poster submissions must be written in English and submitted
in PDF format. Submission of a paper or poster should be regarded as an
undertaking that, should the paper or poster be accepted, at least one of the
authors will attend the conference to present the work.

For preparation of papers and posters please follow the instructions for
authors available at the Springer LNCS Web page
(http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).

Authors of full and short papers as well as posters are welcome to submit
using the conference review system:
https://easychair.org/conferences/?conf=ami2018 .

This year's best paper awards are graciously sponsored by Springer with
1,000 EUR.


SPECIAL ISSUE

The authors of the best papers to be accepted at AmI 2018 will be invited to
submit substantially extended and 

[UAI] Postdoctoral Fellow – Explainable machine learning in medical data

[Frank Rudzicz]

Title: Postdoctoral Fellow – Explainable machine learning in medical data

Location: Downtown Toronto, ON, Canada

Start Date: Immediately
Closing Date: Until the position is filled

The Signal Processing and Oral Communication Lab at the Department of Computer 
Science, University of Toronto, the Vector Institute for Artificial 
Intelligence, and the Toronto Rehab Institute – UHN

Description:

The Signal Processing and Oral Communication Lab (SPOClab) invites applications 
to the position of Postdoctoral Fellow to work on explainable models in the 
area of machine learning in medical data. This position will require activities 
ranging from foundational machine learning, big data analysis, natural language 
processing, and predictive modeling. This position will involve collaboration 
with our multi-disciplinary team across computer science and healthcare.

The duties of the successful candidate include undertaking high quality 
independent and collaborative research, applying for grants, and supervising 
undergraduate and graduate students in the research group. The candidate will 
be highly encouraged to establish connections and collaborate with other 
research groups in the Toronto AI community and our research partners across 
Canada and abroad.

The successful candidate will be supervised by Dr Frank Rudzicz.

This position is funded for a 2-year period. Salary will be based on the 
applicant’s previous experience and education. Space will be provided at the 
Vector Institute. For more information, see https://vectorinstitute.ai
Requirements:
We are seeking candidates with the following qualifications:

  *   A PhD in Computer Science, Computer Engineering, or a related area. 
Applicants who have fulfilled all the requirements for PhD award may also apply.
  *   Advanced knowledge in machine learning, deep learning, big data, natural 
language processing, and predictive analytics. Experience in the healthcare 
sector, or in healthcare or biomedical applications, is preferred.
  *   Strong programming skills in Python, scikit-learn, TensorFlow, Keras, or 
related frameworks.
  *   Excellent publication record in top quality journals and conferences.
  *   Excellent communication skills and demonstrate strong leadership skills.
The Department of Computer Science hires based on merit and is committed to 
employment equity. All qualified persons are encouraged to apply. However, 
Canadian citizens and permanent residents will be given priority.
Application:
Applications will be accepted until the position is filled. To apply, please 
send:

  1.  a one page covering letter highlighting the relevance of your skills, 
knowledge and experience, and date of availability,
  2.  a curriculum vitae, including a full publication list, and country of 
citizenship,
  3.  a 1-page statement of your research interests, and
  4.  a copy of your university transcripts
to fr...@spoclab.com with the subject line “Postdoc in Machine Learning for 
Health”


--
Frank Rudzicz, PhD
  Scientist, Toronto Rehabilitation Institute-UHN;
  Associate professor (status), Department of Computer Science,
University of Toronto;
  Co-Founder and President, WinterLight Labs Incorporated;
  Faculty member, Vector Institute;
|| Website: http://www.cs.toronto.edu/~frank
|| Twitter: @SPOClab
|| Phone (office): 416 597 3422 x7971
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