[UAI] CfP: (Deadline Extension - June 15th, 2016) Special Issue on Internet-of-Things and Big Data for Smarter Healthcare: From Device to Architecture, Applications and Analytics (The Elsevier Journal

[Amir Rahmani]

/* Apologies for Multiple Copies */


*

CALL FOR PAPERS

The Elsevier Journal of Future Generation Computer Systems (Impact Factor: 2.8)

Special Issue on
Internet-of-Things and Big Data for Smarter Healthcare: From Device to 
Architecture, Applications and 
Analytics

*

The interaction between technology and healthcare has a long history. However, 
the rapid growth of Internet of Things (IoT) and Big Data, as well as the 
public embracement of miniature wearable biosensors have generated new 
opportunities for personalized eHealth and mHealth services. The advantages of 
these services include the availability and accessibility, ability to 
personalize and tailor content, and cost-effective delivery. Still, many 
challenges need to be addressed in order to develop consistent, suitable, safe, 
flexible and power-efficient systems fit for medical needs. To enable this 
transformation, it requires a large number of significant technological 
advancements in the hardware and software communities to come together. This 
special issue addresses all important aspects of novel IoT technologies for 
smart healthcare-wearable sensors, body area sensors, advanced pervasive 
healthcare systems, and Big Data analytics that are aimed at providing 
tele-health interventions to individuals for healthier lifestyles. Authors are 
invited to submit high quality papers containing original work from either 
academia or industry reporting novel advances in (but not limited to) the 
following topics:

TOPICS (non-exclusive)
* Internet of things for medical and healthcare applications
* Novel devices and circuits, and architectural support for healthcare-aware IoT
* Nano-CMOS and Post-CMOS based sensors, circuits, and controller
* Wearable and implantable computing and biosensors
* Cloud-enabled body sensor networks
* Secure middleware for eHealth and IoT
* Energy-efficient PHY/MAC and networking protocols for eHealth applications
* Reprogrammable and reconfigurable embedded systems for eHealth
* eHealth traffic characterization
* eHealth oriented software architectures (Agent, SOA, Middleware, etc.)
* Big-data analytics, machine learning algorithms and 
scalable/parallel/distributed algorithms
* Theory and practice of engineering semantic e-health systems, especially 
methods, means and best cases
* Fog computing/Edge clouds for health care cloud resource allocation and 
monitoring
* Privacy preserving and Security approaches for large scale analytics
* Fault tolerance, reliability and scalability
* Case studies of smart eHealth architectures (telemedicine applications, 
health management applications, etc.)
* Autonomic analysis, monitoring and situation alertness

Guest Editors:
* Farshad Firouzi, KU Leuven, Belgium 
(farshad.firo...@kuleuven.be)
* Philip Wong, Stanford University, USA 
(hspw...@stanford.edu)
* Amir M. Rahmani, University of Turku, Finland 
(ami...@utu.fi)
* Kunal Mankodiya, University of Rhode Island, USA 
(kun...@uri.edu)
* Geoff V. Merrett, University of Southampton, UK 
(g...@ecs.soton.ac.uk)
* Bahar Farahani, Pirouzan Group, Iran 
(bahar.farah...@ut.ac.ir)
* Mustafa Badaroglu, Qualcomm, USA 
(musta...@qti.qualcomm.com)

Important Dates:
Manuscript due: June 15th, 2016
Acceptance/rejection notification: September 15th, 2016
2nd round check: November 15th, 2016
Final manuscript due: December 15th, 2016

Submissions:
Submitted manuscripts will be reviewed according to the peer review policy of 
FGCS as available on-line at 
http://www.journals.elsevier.com/future-generation-computer-systems. Previously 
published conference papers should be clearly stated by the authors and an 
explanation should be provided how such papers have been extended to be 
considered for this special issue. Manuscripts should be formatted and be 
submitted online according to the instructions for FGCS at  
https://www.elsevier.com/journals/future-generation-computer-systems/0167-739X/guide-for-authors.
 As papers are uploaded, authors should make sure to select the correct special 
issue (select "SI: IoT for eHealth" when reaching the Article Type step).
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[UAI] Looking for software for Augmented Naive Bayesian Network

[Richard E Neapolitan]

Can anyone recommend software for learning and reasoning with an Augmented 
Naive Bayesian Network?

Thanks,

Rich
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[UAI] Postdoc Opening (Angela Yu)

[Angela J. Yu]

Applications are invited from highly motivated researchers for a postdoctoral 
position immediately available in the Computational & Cognitive Neuroscience 
Lab, led by Angela Yu, at University of California, San Diego. Initial 
appointment is one-two years, with flexible start date and opportunity for 
renewal.
The project involves developing a decision-theoretical framework for the 
inter-related problems of perceptual decision-making, active sensing, active 
learning, interactions between affective and cognitive processing, and social 
cognition. Candidates must have a strong mathematical and modeling background 
in Bayesian statistics, Markov decision process, and general machine learning 
methods. Experience with measure-theoretic probability theory, stochastic 
processes, stochastic control theory (stopping problems, bandit problems, 
sequential decision problems), and/or dynamical systems analysis is also 
desirable.

Applicants should be committed to applying rigorous mathematical tools to 
modeling cognitive and neural processes. Experience or interest in carrying out 
human behavioral experiments (either in person or on Amazon M-Turk) and/or 
collaborating with other human/animal neuroscience laboratories is also 
desirable.

Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and 
affiliated with the Computer Science Department, Neurosciences Graduate 
Program, and the Institute of Neural Computation. There are ample opportunities 
for collaborations with related groups across the UCSD main campus, the medical 
school, and the Salk Institute.

Interested candidates should send a research statement, along with a CV 
including publications, to Dr. Angela Yu (a...@ucsd.edu 
). Two or more letters of references should be sent 
directly to the same address.

-
Angela J. Yu
Associate Professor
UCSD Cognitive Science
www.cogsci.ucsd.edu/~ajyu
-

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[UAI] PGM 2016: Last Call for Papers (Deadline June 3)

[Cassio P. de Campos]

PGM 2016 is the eight edition of the International Conference
on Probabilistic Graphical Models. It will take place in Lugano
(Switzerland) between the 6th and the 9th of September 2016.
The site of the conference is http://pgm.idsia.ch.

It welcomes contributions on all aspects of graphical models
including probabilistic reasoning, decision making, learning
and data mining. It welcomes both theoretical and applied
contributions.

==Important Dates

Friday, June 3, 2016: Paper submission (extended) deadline.
Friday, July 1, 2016: Author notification.
Friday, July 15, 2016: Camera-ready copy due.

==Submissions

The instructions for submission and the author kit are available
here: http://www2.idsia.ch/cms/pgm/submissions/
The page limit is 12 pages in the JMLR style.
Each submission will be double-blind reviewed by three referees.
It will be up to the authors to ensure the proper anonymization of their paper.

==JMLR Proceedings

The conference proceedings will be published in the proceedings
track (http://jmlr.csail.mit.edu/proceedings) of the Journal of
Machine Learning Research (JMLR).

==IJAR Special Issue

Selected papers will be invited to be extended and then submitted
to a special issue of the International Journal of Approximate Reasoning (IJAR).
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[UAI] Proposed AAAI fall symposium - "Cross-disciplinary challenges for autonomous systems"

[HUMPHREY, LAURA R DR-02 USAF AFMC AFRL/RQQA]

A proposal on "Cross-Disciplinary Challenges for Autonomous Systems" has been 
submitted for consideration at the 2016 AAAI Fall Symposia Series in Washington 
D.C. (November 17-19).  As part of the proposal process, I need to gauge 
interest by putting together a list of people who would potentially be 
interested in attending (note responses are non-binding). If you would be 
interested, please respond in the next day or so using the form at:
https://docs.google.com/forms/d/1ISj25Qzx-Gtj7Sb7k-oW4Eqzi8R-3MptOLuizdWLLGo/viewform

To summarize, this symposium is being proposed with the recognition that no 
single discipline will be able to address all the challenges that face 
practical fielding of autonomous systems. The goal of this symposium is then 
two-fold. First, to allow attendees to share recent results from their own 
cross-disciplinary research, as well as specific tools and approaches 
accessible to researchers from other disciplines. Second, to engage in working 
groups focused on characterizing the current and future landscape of research 
in autonomy. For more details on the proposed symposium see:
https://drive.google.com/file/d/0B-fzt2KvIVGCcG1oeGt6LUo4cXM/view?usp=sharing

Best regards,
Laura Humphrey



Laura R. Humphrey, PhD  AFRL/RQQA
Research Engineer, V&V of Autonomous SystemsBldg. 146, Rm 300
Aerospace Systems Directorate   2210 8th St.
Air Force Research Laboratory   Wright-Patterson AFB,OH
45433-7531

Phone:   (937) 713-7032 DSN 312
E-mail:  laura.humph...@us.af.mil

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