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Today's Topics:
1. CFP: 3rd International Workshop on Smart Sensor Protocols and
Algorithms (SSPA 2015) - Munich, Germany, October 5-7, 2015
(Sandra Sendra)
2. Postdoc and PhD student positions: Data Mining group, Aalto
University, Finland (Gionis Aristides)
3. Postdoctoral Research Position: Maintenance Optimization for
Rail Infrastructure Systems (Hamish Waterer)
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Message: 1
Date: Tue, 30 Jun 2015 22:38:09 +0200
From: Sandra Sendra <sandra.sendra.upv@gmail.com>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CFP: 3rd International Workshop on Smart Sensor
Protocols and Algorithms (SSPA 2015) - Munich, Germany, October 5-7,
2015
Message-ID: <201506302038.t5UKc9YB024814@smtp.upv.es>
Content-Type: text/plain; charset=us-ascii
[Please accept our apologies if you receive multiple copies of this email]
*********************** CFP *******************************
3rd International Workshop on Smart Sensor Protocols and Algorithms (SSPA 2015)
http://jlloret.webs.upv.es/sspa2015/
in conjunction with The 8th IFIP Wireless and Mobile Networking Conference (WMNC' 15)
Munich, Germany, October 5-7, 2015.
http://www.wmnc2015.com/
SCOPE:
Smart Sensor protocols and algorithms make use of several methods and techniques (such as machine learning techniques, decision making techniques, knowledge representation, network optimization, problem solution techniques, and so on), to establish communication between network devices. They can be used to perceive the network conditions, or the user behavior, in order to dynamically plan, adapt, decide, take the appropriate actions, and learn from the consequences of their actions. The algorithms can make use of the information gathered from the protocol in order to sense the environment, plan actions according to the input, take consciousness of what is happening in the environment, and take the appropriate decisions using a reasoning engine. Goals such as decide which scenario fits best its end-to-end purpose, or environment prediction, can be achieved with smart protocols and algorithms. Moreover, they could learn from the past and use this knowledge to improve future de!
cisions.
In this workshop, researchers are encouraged to submit papers focused on the design, development, analysis or optimization of smart sensor protocols or algorithms at any communication layer. Algorithms and protocols based on artificial intelligence techniques for network management, network monitoring, quality of service enhancement, performance optimization and network secure are included in the workshop.
This conference edition once again targets to gather researchers from academia and industrial sectors to present analytical research, simulations, practical results, position papers addressing the pros and cons of specific proposals, and advances in sensor protocols and algorithms. The topics suggested by the conference can be discussed in term of concepts, state of the art, standards, deployments, implementations, running experiments and applications.
TOPICS OF INTEREST:
Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, including, but are not limited to, the following topic areas:
- Reasoning and learning techniques for sensing environment pollution
- Smart route prediction in vehicular sensor networks
- Smart data aggregation in vehicular sensor networks
- Smart multimedia network protocols and algorithms for WSNs
- Application layer, transport layer and network layer cognitive protocols
- Cognitive radio network protocols and algorithms
- Automatic protocols and algorithms for environment prediction
- Algorithms and protocols to predict data network states
- Intelligent synchronization techniques for sensor network protocols and algorithms
- Smart sensor protocols and algorithms for e-health
- Software applications for smart algorithms design and development in WSNs
- Dynamic protocols based on the perception of their performance
- Smart protocols and algorithms for Smartgrids
- Protocols and algorithms focused on building conclusions for taking the appropriate actions
- Smart Automatic and self-autonomous WSNs
- Artificial intelligence applied in protocols and algorithms for WSNs
- Smart security protocols and algorithms in WSNs
- Smart cryptographic algorithms for communication in WSNs
- Artificial intelligence applied to power efficiency and energy saving protocols and algorithms
- Smart routing and switching protocols and algorithms in WSNs
- Cognitive protocol and algorithm models for saving communication costs
- Any kind of intelligent technique applied to QoS, content delivery, network Monitoring and network mobility management
- Smart cooperative protocols and algorithms WSNs
- Problem recognition and problem solving protocols for WSNs
- Genetic algorithms, fuzzy logic and neural networks applied to WSNs
IMPORTANT DATES:
Submission deadline: 17th of July 2015
Author notification: 14th of August 2015
Camera-ready version: 27th of August 2015
Workshop Dates: 5-7th of October 2015
SUBMISSION GUIDELINES:
Authors are invited to submit original and unpublished papers. Papers presenting original and unpublished work are invited and will be evaluated based on originality, significance, technical soundness, and clarity of exposition.
All submissions should be written in English. Authors guidelines can be found at:
http://jlloret.webs.upv.es/sspa2015/cfp.html
The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found at:
http://www.ieee.org/portal/pages/pubs/transactions/stylesheets.html.
Only PDF files will be accepted for the review process and all submissions must be done through EDAS. To submit a paper, please click on the following link:
https://edas.info/newPaper.php?c=19893&track=71089
SPECIAL ISSUES:
The extended version of selected papers will be invited to submit to a Special Issue on Smart Protocols and Algorithms in the International Journal Network Protocols and Algorithms (1943-3581). Network Protocols and Algorithms is an online international journal, peer-reviewed, indexed by many prestigious data bases and published by Macrothink Institute.
COMMITTEES:
General Chairs
Jaime Lloret Mauri, Universitat Polit�cnica Val�ncia, Spain
TPC Chairs
Miguel Garcia Pineda, Universidad de Valencia, Spain
Sandra Sendra, Unviversitat Politecnica de Valencia, Spain
Web Chair
Alejandro C�novas Solbes, Universitat Polit�cnica Val�ncia, Spain
------------------------------
Message: 2
Date: Tue, 30 Jun 2015 20:59:29 +0000
From: Gionis Aristides <aristides.gionis@aalto.fi>
To: "dmanet@zpr.uni-koeln.de" <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] Postdoc and PhD student positions: Data Mining
group, Aalto University, Finland
Message-ID: <45B4269A-A22B-45DA-BC86-4D2DE4C1506D@aalto.fi>
Content-Type: text/plain; charset="us-ascii"
The Data Mining group of Aalto University is looking for postdoctoral researchers and PhD students.
The research topics include graph mining, social-network analysis, network inference, and personal-level data mining.
More information about the positions can be found here : http://research.ics.aalto.fi/dmg/positions.shtml
and information regarding the activities of the group here : http://research.ics.aalto.fi/dmg/positions.shtml
For further questions contact Aristides Gionis at aristides.gionis@aalto.fi
------------------------------
Message: 3
Date: Wed, 1 Jul 2015 13:22:53 +1000
From: Hamish Waterer <hamish.waterer@newcastle.edu.au>
To: <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] Postdoctoral Research Position: Maintenance
Optimization for Rail Infrastructure Systems
Message-ID:
<CADq54rzAsbZMJLDSP5D6vzo5nGXRwiP-ZxfkpXVEQs4H3ToCiw@mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"
The University of Newcastle, Australia, invites expressions of
interest for a Postdoctoral Research Fellowship in the area of theory
and algorithms for the optimization of maintenance of rail
infrastructure systems for coal and iron exports, starting in
September 2015, or as soon as possible subject to applicant
availability.
Fellowships are available for 1 or 2 years, with possible 1-year
extensions. The salary will be in the range of AU$79,541-$85,382 per
annum, depending on the skills and experience of the applicant. There
is also provision for a relocation allowance, and for additional funds
to support travel to conferences both overseas and within Australia
during the period of the fellowship.
The successful applicant will hold a PhD in operations research,
engineering, mathematics, computer science, or a related discipline.
Strong optimization and computer programming skills are essential. A
knowledge of mixed integer programming and/or metaheuristics would be
an asset. Additionally candidates are encouraged to highlight broad
experience with modelling or assessment of complex networks,
infrastructure asset management or resource management .
Expressions of interest are preferred before August 1, 2015, however
later interest will be considered until the position is filled. To
express your interest in a fellowship please send your CV, together
with an academic transcript showing details of all courses you have
taken, the grades you were awarded, an interpretation of those grades,
and the names and contact details of at least two people who can
provide confidential references, to the contact person at the address
shown below. If your transcript is not in English, please provide an
English translation. Please feel free to include a link to your PhD
thesis, and/or include other publications in your email. Include
details of your computer programming skills and experience, your
optimization training and background, and any experience you have with
modelling and solving industrial problems. Please also indicate your
possible start dates.
The project will be funded under an Australia Research Council (ARC)
Linkage Grant with industry support from Aurizon
(http://www.aurizon.com.au/), Australia's largest rail freight
operator. Coal and iron ore export supply chains critically depend on
the transport capacity provided by Australia's rail infrastructure.
Increasingly so, because coal and iron ore export supply chains are
literally getting longer: mineral bodies closer to ports have been
exploited first, and as these become exhausted, supply chains are
stretching further to reach harder-to-get-at resources. Combined with
increasing export volumes, this makes intelligent, efficient, and
effective management of this critical piece of infrastructure vitally
important. Maintenance plays a crucial role in the management of rail
infrastructure as it ensures that infrastructure components, e.g.,
track, signals, and rail crossings, are in a condition that allows
safe, reliable, and efficient transport. This project will
investigate the key planning activities in preventive maintenance of
rail infrastructure systems, and seek to develop effective
optimization algorithms for their solution.
The postdoctoral fellow will join a research team of faculty, research
fellows and PhD students working on this project. The project also
involves international research collaborations with Professors
Natashia Boland and Martin Savelsbergh (Georgia Tech) and Yanfeng
Ouyang (University of Illinois).
The University of Newcastle is a major research university in
Australia, increasingly recognized internationally as a rapidly
emerging educational institution. The main campus is located in the
city of Newcastle: on the coast about two hours drive north from
Sydney. The School of Mathematical and Physical Sciences provides a
stimulating and supportive environment for research and teaching, with
ample opportunities for collaborative research partnerships both
within the university and with industry. Although well known for its
beautiful beaches and pleasant climate, Newcastle is home to
Australia's (and the world's) largest coal exporting port. Newcastle
is also at the gateway of one of Australia's largest wine-growing
regions, the Hunter valley. Thus opportunities for research in
shipping, transportation, and mineral resources abound.
The School includes a strong group in Operations Research, with a
number of faculty, research fellows, and current PhD students working
in areas such as mixed integer programming, mixed integer nonlinear
programming, supply chain logistics, and transportation optimization.
The group has strong collaborations with colleagues in computer
science working with evolutionary algorithms. It also has close
research links with first-class international institutions and
excellent support from industry and government research funding.
For further information on the School and the University, go to
http://www.newcastle.edu.au/school/mathematical-physical-sciences/ or
http://www.newcastle.edu.au/. For further information about Newcastle,
Australia, visit http://www.visitnewcastle.com.au/. Further
information can be obtained from the contact person below.
Main contact:
Dr Thomas Kalinowski
School of Mathematical and Physical Sciences
The University of Newcastle
T: +61 2 4921 6558
E: Thomas.Kalinowski@newcastle.edu.au
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End of dmanet Digest, Vol 89, Issue 2
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