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Today's Topics:
1. Research grant: New Optimization Models for Transportation
(Joao Pedro Pedroso)
2. Emploi de professeur à Paris 6 / Professor position at Paris
6 (jean-paul allouche)
3. ISNN2017 Final Call for Papers - International Symposium on
Neural Networks, Sapporo, Hokkaido, Japan (Nian Ashlee Zhang)
4. PhD scholarships in Combinatorics at Birmingham (Daniela Kuhn)
5. PhD program at ESSEC (Ivana LJUBIC)
6. CFP: The 6th International Workshop on Parallel and
Distributed Computing for Large Scale Machine Learning and Big
Data Analytics (Arindam Pal)
----------------------------------------------------------------------
Message: 1
Date: Thu, 29 Dec 2016 22:03:34 +0000 (WET)
From: Joao Pedro Pedroso <jpp@fc.up.pt>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] Research grant: New Optimization Models for
Transportation
Message-ID: <20161229.220334.1977408774206748442.jpp@fc.up.pt>
Content-Type: Text/Plain; charset=iso-8859-15
Research grant in "New Optimization Models for Transportation"
INESC TEC is accepting applications to award 1 Postdoctoral Grant in
project SMILES - Smart, Mobile, Intelligent and Large scale Sensing
and analytics.
Project overview: The goal is to provide simulation and optimization
models for transportation under new paradigms. Outputs of this project
should contribute to state-of-the-art mathematical models, reflecting
new specificities arising under this paradigm, as well as with off-
and on-line optimization algorithms to handle these problems.
Reference Monthly Value: €1495,00
Application Period: 2017-01-05 to 2017-01-20
For additional information on the project and project team please
check:
http://www.dcc.fc.up.pt/~jpp/Announcements/Smiles.html
Application guidelines are available at:
https://www.inesctec.pt/ip-en/work-with-us/bolsas-inescporto/AE2016-0387?set_language=en&cl=en
For additional information please contact
João Pedro Pedroso (University of Porto) - jpp [@] fc.up.pt
------------------------------
Message: 2
Date: Fri, 30 Dec 2016 11:03:14 +0100
From: jean-paul allouche <jean-paul.allouche@imj-prg.fr>
To: <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] Emploi de professeur à Paris 6 / Professor position
at Paris 6
Message-ID: <54192d23-8d1d-9f46-e684-8c813ce897d9@imj-prg.fr>
Content-Type: text/plain; charset="utf-8"; format=flowed
Pardon pour les envois multiples
Apologies for cross-posting
jpa
------------------------------
Message: 3
Date: Fri, 30 Dec 2016 21:32:28 -0500
From: Nian Ashlee Zhang <nian.zhang6@gmail.com>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] ISNN2017 Final Call for Papers - International
Symposium on Neural Networks, Sapporo, Hokkaido, Japan
Message-ID:
<CAHSfCZu0hPcHcOQiK357zx1+Jc3E+7ii7w1Qu+U1YOdD0Muh8w@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
*Final Call for Pap**er**s*
http://conference.cs.cityu.edu.hk/isnn/
<https://mail.udc.edu/owa/redir.aspx?REF=5c4-NeuwWnHHNuBcCRLv2Vvp9cLnUFU3ncUM024c7uzrQOvtIzHUCAFodHRwOi8vY29uZmVyZW5jZS5jcy5jaXR5dS5lZHUuaGsvaXNubi8.>
-----------------------------------------------------------------------------------------------------------------------------------------------------------
*Updated news:*
Upon numerous requests, the submission deadline is postponed to January 10,
2017.
Post-symposium tutorial/workshop will be arranged in Hakodate/Muroran on
June 24-26, 2017.
-----------------------------------------------------------------------------------------------------------------------------------------------------------
The 14th International Symposium on Neural Networks (ISNN 2017) will be
held in Sapporo, Hokkaido, Japan during June 21-23, 2017, following the
successes of previous events. Located in northern island of Hokkaido,
Sapporo is the fourth largest Japanese city and a popular summer/winter
tourist venue. ISNN 2017 aims to provide a high-level international forum
for scientists, engineers, and educators to present the state of the art of
neural network research and applications in related fields. The symposium
will feature plenary speeches given by world renowned scholars, regular
sessions with broad coverage, and special sessions focusing on popular
topics.
Authors are invited to submit full-length papers by the submission deadline
through the online submission system. The submission of a paper implies
that the paper is original and has not been submitted under review or is
not copyright-protected elsewhere and will be presented by an author if
accepted. All submitted papers will be refereed by experts in the field
based on the criteria of originality, significance, quality, and clarity.
Papers presented at ISNN 2017 will be published in the EI-indexed
proceedings in the Springer LNCS series and selected good papers will be
included in special issues of several SCI journals.
*Important Dates*
Extended Paper submission deadline: January 1, 2017 January 10, 2017
Notification of acceptance: February 1, 2017
Camera-ready copy and author registration: March 1, 2017
Conference: June 21-23, 2017
Post-symposium tutorial/workshop: June 24-26, 2017
------------------------------
Message: 4
Date: Sat, 31 Dec 2016 16:39:55 +0000
From: Daniela Kuhn <D.Kuhn@bham.ac.uk>
To: "dmanet@zpr.uni-koeln.de" <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] PhD scholarships in Combinatorics at Birmingham
Message-ID:
<FBA1B0F654FBFB409776103430A1B9460224D37F3A@EX14.adf.bham.ac.uk>
Content-Type: text/plain; charset="iso-8859-1"
There are several PhD scholarships in Mathematics available at the University of Birmingham (UK). In particular, we are keen to attract strong PhD students in Combinatorics/Discrete Mathematics.
Information about the Combinatorics group at the University of Birmingham can be found at
http://web.mat.bham.ac.uk/combinatorics/
Informal enquiries should be directed e.g. to Daniela Kuhn (d.kuhn@bham.ac.uk) or Deryk Osthus (d.osthus@bham.ac.uk)
In order to be considered for a PhD scholarship, candidates have to ensure that their online application is complete (i.e. both referee reports have been uploaded as well) by 20 February 2017. However, we strongly encourage applicants to apply as early as possible.
Information how to apply can be found at
http://www.birmingham.ac.uk/schools/mathematics/phd/phd.aspx
------------------------------
Message: 5
Date: Mon, 2 Jan 2017 15:42:01 +0100
From: Ivana LJUBIC <ivana.ljubic@essec.edu>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] PhD program at ESSEC
Message-ID: <6e25ef79-c74d-ff35-8395-e352b18f9164@essec.edu>
Content-Type: text/plain; charset=utf-8; format=flowed
The ESSEC Business School of Paris is looking for top applicants for our
PhD program, for the Operations Management & Decision Science (OMDS) track.
Students interested in conducting academic research in OMDS fields are
encouraged to apply.
For further details concerning the application, please visit:
http://www.essec.edu/en/program/phd-en/phd-program/admission/.
The application deadline is January 15th.
Best regards,
Ivana Ljubic
--
Ivana Ljubic
Professor of Operations Research
ESSEC Business School of Paris
3 Av. Bernard Hirsch
B.P. 50105, 95021 Cergy Pontoise Cedex, France
Phone: +33 1 34 43 97 26
http://www.essec.edu/faculty/ivana-ljubic
------------------------------
Message: 6
Date: Tue, 3 Jan 2017 11:09:21 +0530
From: Arindam Pal <arindamp@gmail.com>
To: DMANET <DMANET@zpr.uni-koeln.de>
Subject: [DMANET] CFP: The 6th International Workshop on Parallel and
Distributed Computing for Large Scale Machine Learning and Big Data
Analytics
Message-ID:
<CAK4LEK=QYs36hRRYq-PncYe45spMrUPJb+H9EQhjKFvD5AoQuw@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
*************************************************************************************
The 6th International Workshop on Parallel and Distributed Computing
for Large Scale Machine Learning and Big Data Analytics
http://parlearning.ecs.fullerton.edu/
May 29, 2017
In Conjunction with
31st IEEE International Parallel & Distributed Processing Symposium
May 29 - June 2, 2017
Buena Vista Palace Hotel
Orlando, Florida USA
*************************************************************************************
Call for Papers
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms
from Artificial Intelligence (AI) for massive datasets is a major technical
challenge in the times of "Big Data". The past ten years has seen the rise
of multi-core and GPU based computing. In parallel and distributed
computing, several frameworks such as OpenMP, OpenCL, and Spark continue to
appear to facilitate scaling up ML/DM/AI algorithms using higher levels of
abstraction. We invite novel works that advance the trio-fields of ML/DM/AI
through development of scalable algorithms or computing frameworks. Ideal
submissions would be characterized as scaling up X on Y, where potential
choices for X and Y are provided below.
Scaling up
recommender systems
gradient descent algorithms
deep learning
sampling/sketching techniques
clustering (agglomerative techniques, graph clustering, clustering
heterogeneous data)
classification (SVM and other classifiers)
SVD
probabilistic inference (bayesian networks)
logical reasoning
graph algorithms and graph mining
On
Multi-core architectures/frameworks (OpenMP)
Many-core (GPU) architectures/frameworks (OpenCL, OpenACC, CUDA, Intel TBB)
Distributed systems/frameworks (GraphLab, MPI, Hadoop, Spark, Storm, Mahout
etc.)
Journal publication
Selected papers from the workshop will be published in a Special Issue of
Future Generation Computer Systems, Elsevier's International Journal of
eScience. Special Issue papers will undergo additional review.
Awards
Best Paper Award: The program committee will nominate a paper for the Best
Paper award. In past years, the Best Paper award included a cash prize.
Stay tuned for this year!
Travel awards:Students with accepted papers have a chance to apply for a
travel award. Please find details on the IEEE IPDPS web page.
Organization
General chair: Anand Panangadan (California State University,
Fullerton, USA)
Technical Program co-chairs: Henri Bal (Vrije Universiteit, The
Netherlands) and Arindam Pal (TCS Research, India)
Publicity chair: Charalampos Chelmis (University at Albany, State
University of New York, USA)
Steering Committee chair: Yinglong Xia (Huawei Research, USA)
Technical Program Committee
Brojeshwar Bhowmick, TCS Research, India
Danny Bickson, GraphLab Inc., USA
Vito Giovanni Castellana, Pacific Northwest National Laboratory, USA
Tanushyam Chattopadhyay, TCS Research, India
Daniel Gerardo Chavarria, Pacific Northwest National Laboratory, USA
Sutanay Choudhury, Pacific Northwest National Laboratory, USA
Valeriu Codreanu, SURFsara, The Netherlands
Lipika Dey, TCS Research, India
Zhihui Du, Tsinghua University, China
Anand Eldawy, University of Minnesota, USA
Dinesh Garg, IBM Research, India
Saptarshi Ghosh, IIEST Shibpur, India
Dianwei Han, Northwestern University, USA
Renato Porfirio Ishii, Federal University of Mato Grosso do Sul (UFMS),
Brazil
Ananth Kalyanaraman, Washington State University, USA
Gwo Giun (Chris) Lee, National Cheng Kung University, Taiwan
Carson Leung, University of Manitoba, Canada
Animesh Mukherjee, IIT Kharagpur, India
Debnath Mukherjee, TCS Research, India
Francesco Parisi, University of Calabria, Italy
Himadri Sekhar Paul, TCS Research, India
Aske Plaat, Leiden University, The Netherlands
Chandan Reddy, Wayne State University, USA
Rekha Singhal, TCS Research, India
Weiqin Tong, Shanghai University, China
Cedric van Nugteren, TomTom International BV
Zhuang Wang, Facebook, USA
Jianting Zhang, City College of New York, USA
Important Dates
Paper submission: January 13, 2017 AoE
Notification: February 10, 2017
Camera Ready: March 10, 2017
Paper Guidelines
Submitted manuscripts should be upto 10 single-spaced double-column pages
using 10-point size font on 8.5x11 inch pages (IEEE conference style),
including figures, tables, and references. Format requirements are posted
on the IEEE IPDPS web page.
All submissions must be uploaded electronically at
https://www.easychair.org/conferences/?conf=parlearning2017
Regards,
Arindam Pal, Ph.D.
Research Scientist
TCS Research
http://www.cse.iitd.ac.in/~arindamp/
------------------------------
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