Dear colleagues,
There are travel grants, thanks to the NSF and SIGACT, available to attend
SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS 2020),
which is taking place on January 8, 2020 in Salt Lake City (and is
co-located with SODA).
If you are interested in applying for the grant, please email
apocs2020@gmail.com.
Please include (1) your position (student or postdoc), (2) whether you have
a publication at APOCS or other co-located conference or workshop, (3) a
SHORT paragraph articulating your travel request, (4) a small budget, which
also indicates any other potential sources of funding. Please have your
advisor send a letter of recommendation to the same address.
The deadline is December 11.
Sincerely,
Michael Bender
Martin Farach-Colton
Bruce Maggs
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Sunday, November 24, 2019
[DMANET] Deadline extended to 15 December: CLAR 2020, 3rd International Conference on Logic and Argumentation, 6-9 April 2020, Hangzhou, China
Deadline extended to 15 December: The 3rd International Conference on Logic
and Argumentation (CLAR 2020), 6-9 April 2020, Hangzhou, China
and Argumentation (CLAR 2020), 6-9 April 2020, Hangzhou, China
Proceedings: on site Springer LNAI, post: Journal of Logic and Computation
Deadline: 15 December 2019
The 3rd International Conference on Logic and Argumentation (CLAR 2020)
invites interdisciplinary contributions from logic, artificial
intelligence, philosophy, computer science, linguistics, law, and other
areas studying logic and formal argumentation.
CLAR 2020 will be held in Hangzhou, 6-9 April 2020, as part of the
International Conferences on Logic and Artificial Intelligence at Zhejiang
University (ZJULogAI 2020). With a special focus on "methods and tools for
explainable AI", a core objective of ZJULogAI is to present the latest
developments and progress made on the crucial question of how to make AI
more transparent, trustworthy and accountable, both in China as well as in
the rest of the world. All participants to CLAR 2020 have access to all
other events of ZJULogAI as well.
Online LNAI proceedings with accepted submissions will be available during
the conference, and extended versions will be published after the
conference in a special issue of the Journal of Logic and Computation.
More information can be found at the websites:
http://www.xixilogic.org/events/clar2020 (CLAR 2020)
https://www.xixilogic.org/zjulogai/ (ZJULogAI)
CLAR 2020 conference highlights recent advances in the two fields of logic
and argumentation and promotes communication between researchers in logic
and argumentation within and outside China. Previous conferences can be
accessed at:
http://www.xixilogic.org/events/clar2018
http://www.xixilogic.org/events/clar2016
CLAR 2020 and ZJULogAI are in collaboration with the Second Tsinghua
Interdisciplinary Workshop on Logic, Language, and Meaning: Monotonicity in
Logic and Language, 10-12 April 2020 (
http://tsinghualogic.net/JRC/?page_id=1576).
************************
List of Topics
************************
Suggested topics include, but are not limited to the following:
* Abstract argumentation
* Applications of logic and/or argumentation
* Applied logic
* Argumentation and game theory
* Argumentation and law
* Argumentation and linguistics
* Argumentation and medical reasoning
* Argumentation in AI
* Argument mining
* Argumentation schemes
* BDI logic
* Computational argumentation
* Deontic logic
* Dynamic epistemic logic and belief revision
* Formal models for dialog and argumentation
* Informal logic
* Judgment aggregation
* Knowledge representation and reasoning
* Logic for game theory
* Logic for multi-agent systems
* Logic for semantic web
* Logic for social network
* Mathematical logic
* Modal logic
* Nonmonotonic logics
* Numerical and uncertainty reasoning
* Philosophical logic
* Pragma-Dialectics
* Preference logic
* Structured argumentation
* Uncertain argumentation
************************
Submission Guidelines
************************
We invite two types of submissions: full papers (between 12 and 20 pages)
describing original and unpublished work and extended abstracts (between 4
and 8 pages) of preliminary original work or extended abstracts of already
published work, from either the field of logic or the field of formal
argumentation. Additional support material may be included in an appendix,
which may be considered or ignored by the program committee.
Submissions must be prepared in LaTeX, using the Springer LNCS style:
ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip
Submissions not complying with these guidelines will be desk rejected.
Papers in PDF format should be submitted via EasyChair:
https://easychair.org/conferences/?conf=clar2020
Each submitted paper will be carefully peer-reviewed by a panel of PC
members based on originality, significance, technical soundness, clarity of
exposition and relevance for the conference. For each accepted paper, at
least one author is expected to register and present the paper at the
conference.
************************
Important Dates
************************
Submission: 15 December 2019
Notification: 10 January 2020
Camera-Ready: 31 January 2020
Conference: 6-9 April 2020
************************
PC members (to be completed)
************************
Thomas Ågotnes, University of Bergen
Johan van Benthem, University of Amsterdam & Stanford University
Pietro Baroni, University of Brescia
Stefano Bistarelli, Università di Perugia
Alexander Bochman, Holon Institute of Technology
Thomas Bolander, Technical University of Denmark
Walter Carnielli, State University of Campinas
Weiwei Chen, Sun Yat-Sen University
Zoé Christoff, University of Bayreuth
Agata Ciabattoni, Vienna University of Technology
Dragan Doder, University of Belgrade
Shanshan Du, Wuhan University
Massimiliano Giacomin, University of Brescia
Guido Governatori, CSIRO
Norbert Gratzl, Ludwig Maximilian University of Munich
Davide Grossi, University of Groningen
Jiahong Guo, Beijing Normal University
Andreas Herzig, IRIT-CNRS
Wesley Holliday, UC Berkeley
Jeff Horty, University of Maryland
Fengkui Ju, Beijing Normal University
Souhila Kaci, LIRMM
Hannes Leitgeb, Ludwig Maximilian University of Munich
Hengfei Li, Shandong Jianzhu University
Beishui Liao, Zhejiang University
Fenrong Liu, Tsinghua University
Hu Liu, Sun Yat-sen University
Emiliano Lorini, IRIT-CNRS, Université Paul Sabatier, Toulouse
Réka Markovich, University of Luxembourg
Alessandra Marra, University of Bayreuth
Thomas Meyer, University of Cape Town and CAIR
Sara Negri, University of Helsinki
Nir Oren, University of Aberdeen
Eric Pacuit, University of Maryland
Valeria de Paiva, Samsung Research America and University of Birmingham
Gabriella Pigozzi, Université Paris-Dauphine
Henry Prakken, University of Utrecht & University of Groningen
R. Ramanujam, Institute of Mathematical Sciences, Chennai
Olivier Roy, University of Bayreuth
Katsuhiko Sano, Hokkaido University
Chenwei Shi, Tsinghua University
Guillermo R. Simari, Universidad del Sur in Bahia Blanca
Sonja Smets, University of Amsterdam
Christian Strasser, Ruhr-University Bochum
Yì N. Wáng, Zhejiang University
Xuefeng Wen, Sun Yat-sen University
Stefan Woltran, Vienna University of Technology
Jiachao Wu, Shandong Normal University
Yun Xie, Sun Yat-sen University
Yuming Xu, Shandong Univers
Tomoyuki Yamada, Hokkaido University
Fan Yang, University of Helsinki
Teng Ying, Zhejiang University City College
Zhe Yu, Sun Yat-sen University
************************
PC Chairs
************************
Mehdi Dastani, Utrecht University
Huimin Dong, Zhejiang University
Leon van der Torre, University of Luxembourg
************************
Contact
************************
All questions about submissions should be emailed to: clar2020@xixilogic.org
**********************************************************
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Saturday, November 23, 2019
[DMANET] POEMA Learning Week and Workshop on Polynomial Optimization, Konstanz, 23.3.-3.4.2020
The EU ITN POEMA is happy to announce Learning Week and Workshop on Polynomial Optimization.
Event website:
http://poema-network.eu/index.php/news-and-events/project-workshops/3-poema-learning-week-and-2nd-workshop
Learning Week:
Four introductory courses will address different aspects of effective algebra, convex geometry, and polynomial optimization. The courses will be provided by POEMA members and other high-profile speakers:
Didier Henrion, LAAS CNRS Toulouse
Claus Scheiderer, University of Konstanz
Mihai Putinar, University of California at Santa Barbara
Edouard Pauwels, Paul Sabatier University, Toulouse
Location and dates:
University of Konstanz, Germany, March 23-27, 2020
Workshop:
The 2nd POEMA workshop will be dedicated to the foundations of polynomial optimization. There will be talks in a broad range of topics by established expert researchers.
Location and dates:
University of Konstanz, Germany, March 30-April 3, 2020
Both events are open to all participants interested in polynomial optimization, also participants outside the POEMA network.
There is no registration fee; however, all participants are required to register here:
http://poema-network.eu/index.php/news-and-events/project-workshops/3-poema-learning-week-and-2nd-workshop/registration
POEMA (Polynomial Optimization, Efficiency through Moments and Algebra) is funded under the H2020-MSCA-ITN-2018 call and is part of the Marie Sklodowska-Curie Actions — Innovative Training Networks (ITN) funding scheme.
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[DMANET] Call for Papers: FUN 2020
=========================================
The Tenth International Conference on Fun with Algorithms (FUN 2020)
Island of Favignana, Sicily, Italy
June 8–10, 2020
*** Submission Deadline: February 10, 2020 AoE ***
Submission server: https://easychair.org/my/conference?conf=fun2020#
=========================================
------------------------------
Scope
------------------------------
FUN is dedicated to the use, design and analysis of algorithms and data structures, focusing on results that provide amusing, witty but nonetheless original and scientifically profound contributions to the area. This year we are expanding the topic of FUN to include:
*** FUN with simplification of algorithms ***
Other topics of interest include (but are not limited to):
FUN with biological algorithms
FUN with combinatorial algorithms
FUN with cryptographic algorithms
FUN with distributed algorithms
FUN with game-theoretic algorithms
FUN with geometrical algorithms
FUN with graph algorithms
FUN with mobile algorithms
FUN with machine learning algorithms
FUN with optimization algorithms
FUN with parallel algorithms
FUN with randomized algorithms
FUN with robotics algorithms
FUN with space-conscious algorithms
FUN with string algorithms
FUN with visualization of algorithms
FUN with web algorithms
------------------------------
Important Dates
------------------------------
- Full Paper Submission: February 10, 2020 AoE
- Author notification: March 23, 2020
- Camera-ready paper: TBA
- Conference: June 8–10, 2020
------------------------------
Submissions
------------------------------
Submissions can have unlimited length and authors are encouraged to submit complete papers, but the first ten pages must include a self-contained description of the results.
Multiple and/or concurrent submission to other scientific venues is not allowed and will result in rejection as well as notification to the other venue.
Papers should be submitted through our EasyChair submission server at https://easychair.org/my/conference?conf=fun2020#
The proceedings of FUN 2020 will be published in LIPIcs: Leibniz International Proceedings in Informatics.
------------------------------
Program Committee
------------------------------
Flavia Bonomo, Universidad de Buenos Aires, Argentina.
Arnaud Casteigts, Université de Bordeaux, France.
Graham Cormode, University of Warwick, United Kingdom.
Martin Farach-Colton, Rutgers University, United States. (co-chair)
Paolo Ferragina, Università di Pisa, Italy.
Paola Flocchini, University of Ottawa, Canada.
Jie Gao, Rutgers University, United States.
Seth Gilbert, National University of Singapore, Singapore.
Inge Li Gortz, Danmarks Tekniske Universitet, Denmark.
John Iacono, Université Libre de Bruxelles, Belgium.
Hiro Ito, University of Electro-Communications, Japan.
Chuzo Iwamoto, Hiroshima University, Japan.
Tomasz Jurdzinski, Uniwersytet Wrocławski, Poland.
Irina Kostitsyna, Technische Universiteit Eindhoven, Nederlands.
Michal Koucky, Univerzita Karlova, Czech Republic.
Stefan Langerman, Université Libre de Bruxelles, Belgium.
Giuseppe Di Luna, Aix-Marseille Université, France.
Javier Marenco, Universidad Nacional de General Sarmiento, Argentina.
Miguel A. Mosteiro, Pace University, United States.
Yoshio Okamoto, University of Electro-Communications, Japan.
Solon Pissis, Centrum Wiskunde & Informatica, Nederlands.
Simon Puglisi, Helsingin yliopisto, Finland.
Eva Rotenberg, Danmarks Tekniske Universitet, Denmark.
Shikha Singh, Williams College, United States.
Akira Suzuki, Tohoku University, Japan.
Ryuhei Uehara, Japan Advanced Institute of Science and Technology, Japan. (co-chair)
Yushi Uno, Osaka Prefecture University, Japan.
Przemek Uznanski, Uniwersytet Wrocławski, Poland.
Prudence Wong, University of Liverpool, United Kingdom.
Maxwell Young, Mississippi State University, United States.
------------------------------
Organizing Committee
------------------------------
Linda Pagli, Università di Pisa, Italy.
Giuseppe Prencipe, Università di Pisa, Italy.
Atsuki Nagao, Ochanomizu University, Japan. (web manager)
Giovanni Viglietta, Japan Advanced Institute of Science and Technology, Japan. (web manager)
Miguel A. Mosteiro, Pace University, United States. (publicity chair)
------------------------------
Steering Committee
------------------------------
Hiro Ito, University of Electro-Communications, Japan.
Stefano Leonardi, Sapienza Università di Roma, Italy.
Linda Pagli, Università di Pisa, Italy.
Giuseppe Prencipe, Università di Pisa, Italy.
Geppino Pucci, Università degli Studi di Padova , Italy.
Nicola Santoro, Carleton University, Canada.
=========================================
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[DMANET] Research Assistant Professor (Postdoc) in the Foundations of Data Science at the University of Illinois at Chicago
https://www.mathjobs.org/jobs/jobs/15259
University of Illinois at Chicago
Department of Mathematics, Statistics, and Computer Science
Applications are invited for the following position, effective August 16,
2020. Final authorization of the position is subject to the availability of
funding.
*Research Assistant Professor in the Foundations of Data Science.* This is
a non-tenure track position, normally renewable annually to a maximum of
three years. This position has been established as part of
interdisciplinary activities under UIC's TRIPODS grant in the foundations
of data science: https://tripods.uic.edu/. Faculty members involved with
the grant span three departments:
- Mathematics, Statistics, and Computer Science, https://mscs.uic.edu/
- Computer Science, https://cs.uic.edu/
- Electrical and Computer Engineering, https://ece.uic.edu/
This position carries a teaching responsibility of one course per year and
the expectation that the incumbent play a significant role in research
across the three departments involved. Applicants must show evidence of
outstanding research in the foundations of data science within mathematics,
theoretical computer science, probability, statistics, information theory,
electrical engineering, or a related field. Applicants should expect to
have a Ph.D. or equivalent degree by the start date.
While the position will be hosted in the Department of Mathematics,
Statistics, and Computer Science, the incumbent may be mentored by faculty
in any of the three departments and will be expected to interact with
faculty, postdocs, and graduate students across the three departments.
Applicants should provide a vita, research statement, and at least three
(3) letters of recommendation. Applications should be submitted through
mathjobs.org at https://www.mathjobs.org/jobs/jobs/15259. No applications
will be accepted by surface mail or e-mail. To ensure full consideration,
application materials must be received by December 31, 2019, but
applications will be accepted through January 24, 2020.
The University of Illinois at Chicago is a Minority Serving Institution, an
HSI, and an AANAPISI. UIC is an affirmative action, equal opportunity
employer, dedicated to the goal of building a culturally diverse and
pluralistic faculty and staff committed to teaching and working in a
multicultural environment. We strongly encourage applications from women,
minorities, individuals with disabilities and covered veterans. The
University of Illinois may conduct background checks on all job candidates
upon acceptance of a contingent offer. Background checks will be performed
in compliance with the Fair Credit Reporting Act.
**********************************************************
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*
* DMANET@zpr.uni-koeln.de
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* update of the replies received and to communicate it
* via DMANET.
*
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**********************************************************
[DMANET] [cfp] Special Issue on Entropy in Metaheuristics and Bioinspired Algorithms, MDPI
Special Issue on Entropy in Metaheuristics and Bioinspired Algorithms
Journal of Entropy (ISSN 1099-4300). IF = 2.419 (JCR 2018)
DEADLINE 30 September 2020
Dear Colleagues,
Metaheuristics and bioinspired algorithms are used in different fields of
science and technology. They are important optimization tools that commonly
are based on populations to explore the solutions to complex problems.
Different methods are also used for the classification of approximation
using different learning rules extracted from nature.
Entropy is a powerful tool that has changed the analysis of information.
The use of entropy has been extended in metaheuristics and bioinspired
algorithms from measuring uncertainty to helping to explore and exploit
search spaces in optimization. Different kinds of entropy are used
depending on what is required. Moreover, in the information era, it is
necessary to use metaheuristics and bioinspired methods to provide accurate
solutions to complex problems. Hybrid algorithms are also important; they
merge skills from different approaches and make decisions based on
different rules to accurately explore the possible solutions.
Since the fields of metaheuristics and bioinspired algorithms are
constantly growing, it is complicated to follow all the branches where they
are combined with entropy. Considering the above, this Special Issue aims
to present the latest advances in metaheuristics and bioinspired algorithms
that employ or solve problems where entropy is included. It also seeks to
include literature reviews and surveys on related topics.
Dr. Diego Oliva
Dr. Salvador Miguel Hinojosa Cervantes
Guest Editors
--
Dr. Diego Oliva
diegoliva.com <http://www,diegoliva.com>
**********************************************************
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*
* DMANET@zpr.uni-koeln.de
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* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
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*
**********************************************************
Journal of Entropy (ISSN 1099-4300). IF = 2.419 (JCR 2018)
DEADLINE 30 September 2020
Dear Colleagues,
Metaheuristics and bioinspired algorithms are used in different fields of
science and technology. They are important optimization tools that commonly
are based on populations to explore the solutions to complex problems.
Different methods are also used for the classification of approximation
using different learning rules extracted from nature.
Entropy is a powerful tool that has changed the analysis of information.
The use of entropy has been extended in metaheuristics and bioinspired
algorithms from measuring uncertainty to helping to explore and exploit
search spaces in optimization. Different kinds of entropy are used
depending on what is required. Moreover, in the information era, it is
necessary to use metaheuristics and bioinspired methods to provide accurate
solutions to complex problems. Hybrid algorithms are also important; they
merge skills from different approaches and make decisions based on
different rules to accurately explore the possible solutions.
Since the fields of metaheuristics and bioinspired algorithms are
constantly growing, it is complicated to follow all the branches where they
are combined with entropy. Considering the above, this Special Issue aims
to present the latest advances in metaheuristics and bioinspired algorithms
that employ or solve problems where entropy is included. It also seeks to
include literature reviews and surveys on related topics.
Dr. Diego Oliva
Dr. Salvador Miguel Hinojosa Cervantes
Guest Editors
--
Dr. Diego Oliva
diegoliva.com <http://www,diegoliva.com>
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
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* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
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* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
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**********************************************************
[DMANET] [cfp] Special Issue on Image Optimization in Remote Sensing, MDPI
DEADLINE 31 March 2020.
Special Issue on Image Optimization in Remote Sensing
Journal of Remote Sensing (ISSN 2072-4292). 2017 Impact Factor: 4.118
(Journal Citation Reports)
Dear Colleagues,
Remote sensing is defined as the science of analyzing and monitoring
physical characteristics of an area with the measurement of its reflected
or emitted radiation. Typically, remote sensing information is obtained
from airplanes or satellites at a great distance from the surface of the
earth, enabling regular monitoring of land, ocean, and atmospheric
conditions for multiple applications, such as mineralogy, biology, defense,
and environmental preservation.
The data acquired for remote sensing can be represented in the form of
images to make its analysis easier. However, such images present
interesting characteristics such as a high spectral-spatial-temporal
resolution, and multiple channels that provide valuable information
independently or all together. These facts generate a big amount of
information that must be properly and accurately analyzed. Some of the
issues related to images from remote sensing applications can be treated as
optimization problems. Thus, the necessity to design and implement
optimization methods that possess a superior performance on the search for
optimal solutions for remote sensing applications arises.
This special issue concerns the implementation and development of
optimization techniques able to find the best solutions for processing
remote sensing images. In general, in this special issue the latest
advances and trends of optimization algorithms for remote sensing image
processing will be presented, addressing original developments, new
applications, and practical solutions to open questions. The aim is to
increase the data and knowledge exchange between the optimization and
remote sensing communities and allow experts from other areas to understand
the inherent problematics of remote sensing. Moreover, authors are
encouraged to present hybrid methods that might include the use of machine
learning approaches.
The topics for this Special Issue include, but are not limited to, the
following:
3D radar and 3D sonar imaging
Sonar image processing, data reduction, feature extraction, and image
understanding
Interferometric methods
Sparse image reconstruction
Hyperspectral images
Object extraction and accuracy evaluation in 3D reconstruction
Satellite images
Surveillance systems
Multi-sensor data fusion
Image segmentation
Multilevel thresholding
Clustering
Metaheuristic Algorithms
Classical optimization techniques
Hybrid optimization mechanisms
Machine learning
Fuzzy logic approaches
Neural computing
Evolutionary computation
Multi-objective optimization
Many-objective optimization
Hyper-heuristics
Heuristics
Swarm algorithms
Feature selection
Dr. Diego Oliva
Dr. Salvador Hinojosa
Dr. Mohamed Abd Elaziz
Dr. Ahmed A. Ewees
Guest Editors
More information: www.mdpi.com/si/22269
--
Dr. Diego Oliva
diegoliva.com <http://www,diegoliva.com>
**********************************************************
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*
* DMANET@zpr.uni-koeln.de
*
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* via DMANET.
*
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* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Special Issue on Image Optimization in Remote Sensing
Journal of Remote Sensing (ISSN 2072-4292). 2017 Impact Factor: 4.118
(Journal Citation Reports)
Dear Colleagues,
Remote sensing is defined as the science of analyzing and monitoring
physical characteristics of an area with the measurement of its reflected
or emitted radiation. Typically, remote sensing information is obtained
from airplanes or satellites at a great distance from the surface of the
earth, enabling regular monitoring of land, ocean, and atmospheric
conditions for multiple applications, such as mineralogy, biology, defense,
and environmental preservation.
The data acquired for remote sensing can be represented in the form of
images to make its analysis easier. However, such images present
interesting characteristics such as a high spectral-spatial-temporal
resolution, and multiple channels that provide valuable information
independently or all together. These facts generate a big amount of
information that must be properly and accurately analyzed. Some of the
issues related to images from remote sensing applications can be treated as
optimization problems. Thus, the necessity to design and implement
optimization methods that possess a superior performance on the search for
optimal solutions for remote sensing applications arises.
This special issue concerns the implementation and development of
optimization techniques able to find the best solutions for processing
remote sensing images. In general, in this special issue the latest
advances and trends of optimization algorithms for remote sensing image
processing will be presented, addressing original developments, new
applications, and practical solutions to open questions. The aim is to
increase the data and knowledge exchange between the optimization and
remote sensing communities and allow experts from other areas to understand
the inherent problematics of remote sensing. Moreover, authors are
encouraged to present hybrid methods that might include the use of machine
learning approaches.
The topics for this Special Issue include, but are not limited to, the
following:
3D radar and 3D sonar imaging
Sonar image processing, data reduction, feature extraction, and image
understanding
Interferometric methods
Sparse image reconstruction
Hyperspectral images
Object extraction and accuracy evaluation in 3D reconstruction
Satellite images
Surveillance systems
Multi-sensor data fusion
Image segmentation
Multilevel thresholding
Clustering
Metaheuristic Algorithms
Classical optimization techniques
Hybrid optimization mechanisms
Machine learning
Fuzzy logic approaches
Neural computing
Evolutionary computation
Multi-objective optimization
Many-objective optimization
Hyper-heuristics
Heuristics
Swarm algorithms
Feature selection
Dr. Diego Oliva
Dr. Salvador Hinojosa
Dr. Mohamed Abd Elaziz
Dr. Ahmed A. Ewees
Guest Editors
More information: www.mdpi.com/si/22269
--
Dr. Diego Oliva
diegoliva.com <http://www,diegoliva.com>
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
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[DMANET] [cfp] AICV2020 International Conference on Artificial Intelligence and Computer Vision
The Deadline is extended to 10 December 2019 !!
Call for Papers: AICV'2020
International Conference on Artificial Intelligence and Computer Vision
(AICV'2020):
We welcome your participation and contribution to the International
Conference on Artificial Intelligence and Computer Vision (AICV'2020) which
will be held in Cairo, Egypt during April 8-10 2020. The 1st edition of
AICV2020 will be organized by the Scientific Research Group in Egypt
(SRGE). AICV2020 is organized to provide an international forum that brings
together those who are actively involved in the areas of interest and to
report on up-to-the-minute innovations and developments, to summarize the
state-of-the-art, and to exchange ideas and advances in all aspects of
Artificial Intelligence and Computer Vision. All accepted papers will be
published in the conference proceeding which will be published by Springer
in the series of "Advances in Intelligent Systems and Computing". These
series are abstracted/indexed in DBLP, Google Scholar, EI-Compendex,
Mathematical Reviews, SCImago, Scopus.
We are also providing online presentation facilities to authors who are
unable to attend the conference as well as PPT record is acceptable.
For online submission and more details about the conference please visit:
http://egyptscience.net/AICV2020
Submission Link:
https://ocs.springer.com/misc/conference/submitpaperto/AICV_2020
We look forward to seeing you in Egypt.
On behalf of Conference Chairs
--
Dr. Diego Oliva
diegoliva.com <http://www,diegoliva.com>
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[DMANET] Postdoctoral Fellowship in Genome Rearrangements Problems
*Postdoctoral Fellowship in Genome Rearrangements Problems*
We are seeking a candidate for a 2-year post-doctoral fellowship position
at the Laboratory of Optimization and Combinatorics (LOCo
<https://www.loco.ic.unicamp.br/>), Institute of Computing (IC
<https://ic.unicamp.br/en>), University of Campinas (Unicamp
<https://www.unicamp.br/unicamp/english>), Brazil. This fellowship entitled
"Sorting by Genome Rearrangements Problems" is part of a Thematic Project,
entitled "Investigation of hard problems from the algorithmic and
structural standpoints'', funded by the São Paulo Research Foundation (
FAPESP <http://www.fapesp.br/en/>).
*Goals:*
Development of exact and approximation algorithms, as well as heuristics
for genome rearrangement problems involving reversals and transpositions
and focused on prefix/suffix, considering both the length-weighted version
and the traditional approach.
*Eligibility:*
The candidate must have a Ph.D. in Computer Science, Bioinformatics,
Applied Mathematics or in a related field. The candidate must have finished
the Ph.D. less than seven years before the beginning of the PD fellowship.
The candidate must have a solid experience in the design and analysis of
algorithms, approximation algorithms, and heuristics, demonstrated by
publications in peer-reviewed venues such as conferences and journals. The
candidate is expected to interact with other members of the project,
including masters and Ph.D. students and professors. Written and oral
communication skills in English are needed.
Previous experience with genome rearrangement problems is desirable. Have
work experience in research lab abroad, during the Ph.D. period, is a
positive aspect to be considered in the selection process.
*Fellowship:*
The post-doctoral fellowship includes a monthly stipend of R$ 7.373,10
(about USD 1,750 and EUR 1,580), access to the health-care system of
Unicamp, and research contingency funds (15% of the annual value of the
fellowship, each year). For more details, check out Fapesp's webpage
<http://www.fapesp.br/en/5427>. The expected start date is February/2020
and its total duration may not exceed February/2022.
*How to Apply:*
The candidate must send an email to Zanoni Dias (zanoni@ic.unicamp.br) with
the following documents:
- CV with a list of publications;
- Cover letter describing the motivation and experience (up to 2 pages);
- Contact of an earlier supervisor that can give a recommendation letter.
Please include "Post-doctoral Fellowship Application" in the subject of
your email. Applications will be given full consideration if received by
December 15, 2019.
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Friday, November 22, 2019
[DMANET] Postdoctoral position in the ANITI 3IA Institute - INRA Toulouse, France
*Postdoctoral position in Artificial Intelligence, Discrete Optimization
and Machine Learning at INRA Toulouse, France*
and Machine Learning at INRA Toulouse, France*
The interdisciplinary institute in artificial intelligence of Toulouse,
named the Artificial and Natural Intelligence Toulouse Institute
(ANITI), is one of four institutes spearheading research on AI in
France. Part of a 24 chairs' program funded by ANITI, Thomas Schiex's
chair is on /Pushing the computational frontiers of reasoning with
logic, probabilities and preferences/. The chair and co-chair Simon de
Givry, working in a bioinformatic team at INRA Toulouse, are seeking a
postdoctoral fellow. The position is available immediately. The project
will be funded on a contract for at most four years with net salary of
2600€ or more per month with some teaching (64 hours per year on average).
Constraint programming (CP) is an AI /Automated Reasoning/ technology
with tight connections with propositional logic. It offers a problem
modeling and solving framework where the set of solutions of a complex
(NP-hard) problem is described by discrete variables, connected by
constraints (simple Boolean functions). Together with propositional
satisfiability, it is one of the automated reasoning approaches of AI,
where problems are solved exactly to provide rigorous solutions to
hardware or software testing and verification, system configuration,
scheduling or planning problems.
Discrete Stochastic Graphical Models (GMs) define a /Machine Learning/
technology where a probability mass function is described by discrete
variables, connected by potentials (simple numerical functions). GMs can
be learned from data and the NP-hard problem of identifying a Maximum a
Posteriori (MAP) labelling is often solved /approximately/ to tackle
several problems in Image and Natural Language Processing, among others.
The Cost Function Network framework with its associated C++ open source
award-winning solver toulbar2 <https://github.com/toulbar2/toulbar2>,
developed in our team, combine the ideas of Constraint Programming and
Stochastic Graphical Models. By solving the so-called Weighted
Constraint Satisfaction problem, toulbar2 is capable of simultaneously
reasoning on logical information described as Boolean functions and
gradual, possibly Machine Learned, information described as local
numerical functions.
To process the available information, the solver relies on a guaranteed
hybrid branch and bound algorithm. In this algorithm, pruning follows
from a variety of mechanisms that can either simplify the problem at
hand, provide primal solutions (using local search, rounding or
incomplete tree-search), or provide dual solutions and lower bounds.
Parallel solving offers new opportunities to organize these various
mechanisms differently in time, to exploit problem decompositions, to
apply stronger primal/dual reasoning, and to use Machine Learning to
guide search or decide which mechanism to activate based on the current
solving and/or a collection of instances of the same problem.
Experiments will be performed on large collections of real problem
instances, many of which are not known to be currently solvable. This
includes the possible application of toulbar2 onto current exciting
problems in Computational Protein Design (CPD), in collaboration with
molecular modellers and biochemists, and in the context of the ongoing
development of a dedicated CPD software with applications in Health,
Bioenergy and Green Chemistry.
The position is specifically open to highly creative researchers that
may quickly want to develop and explore their own ideas. As such, we
expect that the PostDoc will be increasingly capable of injecting their
own ideas in the project, in interaction with all the members of the
project team as well as external collaborators, and contribute to the
supervision of PhD students.
*Candidate profile*
The PostDoc is at the intersection of CP, SAT, integer programming,
metaheuristics, and distributed computing. The ideal candidate should
therefore be familiar with CP or SAT algorithms. He or she may also
benefit from background knowledge in the weighted variants of SAT/CP, in
Integer Linear Programming, or in Stochastic Graphical Models
processing. Some experience in the design and implementation of
multi-threaded/distributed code is a nice plus. Good programming
abilities (in C++ ideally) will be required. Additional knowledge in
bioinformatics, biochemistry, and molecular modelling would be a plus in
the context of CPD applications.
*How to apply*
Please email your detailed CV, a motivation letter, and transcripts of
bachelor's degree and PhD in Computer Science to simon.de-givry@inra.fr
and thomas.schiex@inra.fr. Samples of published research by the
candidate and reference letters will be a plus.
APPLICATION DEADLINE FOR FULL CONSIDERATION: *December 1, 2019*.
https://mia.toulouse.inra.fr/images/2/26/PostDocANITI.pdf
https://en.univ-toulouse.fr/aniti
http://www7.inra.fr/mia/T/schiex/
http://www7.inra.fr/mia/T/degivry/
http://www7.inra.fr/mia/T/toulbar2/
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[DMANET] Call for Papers - Special Issue Algorithm Engineering - it journal
*CALL FOR PAPERS*
Special issue of the 'it - Information Technology' journal on the topic
'Algorithm Engineering'
'it - Information Technology' is the oldest German journal in the field
of information technology with the major aim to highlight issues on
ongoing newsworthy areas in information technology and informatics and
their application. It aims at presenting the topics with a holistic view
and addresses scientists, graduate students, and experts in industrial
research and development.
The special issue aims at highlighting the role of algorithm engineering
in trajectory data processing. The goal is to to cover the typical data
processing pipeline. Thus, we would like to invite contributions that
either discuss algorithm engineering techniques in the context of a step
in the pipeline, or show the impact of these techniques in a survey.
Topics include but are not limited to:
* trajectory data collection
* map matching
* trajectory indexing
* trajectory compression
* data structures for querying trajectory sets
* applications of trajectory analysis, e.g. for traffic control or
animal movement
* visualization of trajectory sets
* software, systems, platforms and their evaluation
Following the journal's high standards, all contributions will undergo a
strict reviewing process.
The submission deadline is 31 January 2020. Publication of accepted
submissions is planned for mid 2020.
In order to submit a paper for the special issue, use the following link
and select the "Algorithm Engineering" category for your submission:
https://www.editorialmanager.com/itit/
General information on the submission process and the journal can be
found here:
https://www.degruyter.com/view/j/itit?lang=en
We are looking forward to receiving your contributions. If you have any
questions regarding the SI, don't hesitate to contact us.
The Guest Editors
Karsten Klein, Universität Konstanz, Germany
Sabine Storandt, Universität Konstanz, Germany
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Thursday, November 21, 2019
[DMANET] IFORS2020: Optimization Software Stream
Call for contributions:
Stream on Mathematical Optimization Software at IFORS2020, Seoul, June 21-26
Dear colleagues,
We organize a stream on general-purpose software for modeling and solving
mathematical optimization problems, including, but not limited to LP, MIP,
and MINLP.
This stream will feature a mix of presentations from commercial solver and
modeling software and leading academics in the field of mathematical
optimization.
Please contact us if you would like to organize a session, or submit an
abstract.
Remember: Abstract submission deadline is January 17, 2020.
Sincerely,
Thorsten Koch and Timo Berthold
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Stream on Mathematical Optimization Software at IFORS2020, Seoul, June 21-26
Dear colleagues,
We organize a stream on general-purpose software for modeling and solving
mathematical optimization problems, including, but not limited to LP, MIP,
and MINLP.
This stream will feature a mix of presentations from commercial solver and
modeling software and leading academics in the field of mathematical
optimization.
Please contact us if you would like to organize a session, or submit an
abstract.
Remember: Abstract submission deadline is January 17, 2020.
Sincerely,
Thorsten Koch and Timo Berthold
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[DMANET] 3rd EWG-POR meeting in Berlin
Call for contributions:
3rd meeting of the EURO Working Group on the Practice of Operations Research
19 and 20 March, 2020
Zuse Institute Berlin
Dear colleagues,
We cordially invite you to contribute to our discussions at the 3rd
meeting of the EURO Working Group on the Practice of Operations Research.
Our focus will be OR projects that have met with difficulties during their
implementation, including
- particularly tricky or unusual technical requirements that had to be
addressed during the development phase; or
- issues related to the use or acceptance by non-OR expert end-users.
Contributions that discuss experiences with the management of change in
operations due to the introduction of an optimization or analytics
application in an organization are of particular interest.
Please send your (maximum of) 1 page abstract in MS Word or PDF format to
ewgporberlin@zib.de .
Submission deadline: 10 December, 2019
Confirmed Keynote Presentations:
- Optimization in Finance Practice and Challenges by Adrian Zymolka,
Managing Director at Axioma, Germany
- Delivering OR Solutions for Everyday Operations in Energy Trading by
Colin Silvester, Senior Modelling Specialist at Uniper, UK
- Successful Value Chain Optimization at a Chemical Company by Steffen
Klosterhalfen, Operations Research Expert at BASF SE, Germany
- Operations Research Supporting Germany's Energy Transition by Ralf
Werner, Head of IT Management and Digital transformation at Open Grid
Europe GmbH, Germany
Preliminary programme, information and registration (free):
https://ewg_por_berlin_2020.eventbrite.co.uk
Sincerely,
Timo Berthold, on behalf of the programme committee
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3rd meeting of the EURO Working Group on the Practice of Operations Research
19 and 20 March, 2020
Zuse Institute Berlin
Dear colleagues,
We cordially invite you to contribute to our discussions at the 3rd
meeting of the EURO Working Group on the Practice of Operations Research.
Our focus will be OR projects that have met with difficulties during their
implementation, including
- particularly tricky or unusual technical requirements that had to be
addressed during the development phase; or
- issues related to the use or acceptance by non-OR expert end-users.
Contributions that discuss experiences with the management of change in
operations due to the introduction of an optimization or analytics
application in an organization are of particular interest.
Please send your (maximum of) 1 page abstract in MS Word or PDF format to
ewgporberlin@zib.de .
Submission deadline: 10 December, 2019
Confirmed Keynote Presentations:
- Optimization in Finance Practice and Challenges by Adrian Zymolka,
Managing Director at Axioma, Germany
- Delivering OR Solutions for Everyday Operations in Energy Trading by
Colin Silvester, Senior Modelling Specialist at Uniper, UK
- Successful Value Chain Optimization at a Chemical Company by Steffen
Klosterhalfen, Operations Research Expert at BASF SE, Germany
- Operations Research Supporting Germany's Energy Transition by Ralf
Werner, Head of IT Management and Digital transformation at Open Grid
Europe GmbH, Germany
Preliminary programme, information and registration (free):
https://ewg_por_berlin_2020.eventbrite.co.uk
Sincerely,
Timo Berthold, on behalf of the programme committee
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[DMANET] Ph.D. program in IEOR at Columbia University
The Department of Industrial Engineering and Operations Research at
Columbia University invites applications to its PhD program.
Candidates with interest in the theory and/or practice of optimization will
have the opportunity to work with the IEOR faculty members
<https://ieor.columbia.edu/directory?gsarqfields%5Bbiotypetid%5D=30>, whose
research interests go from discrete to continuous optimization, to
applications in finance, revenue management, healthcare, and machine
learning, among others. Graduates from the program have gone on to careers
in academia, research, and industry. The department provides academic and
funding support for its students.
The deadline for application is December, 15th.
See here <https://ieor.columbia.edu/doctoral> for more information about
the program and here <https://ieor.columbia.edu/admissions/application> for
the application process.
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Columbia University invites applications to its PhD program.
Candidates with interest in the theory and/or practice of optimization will
have the opportunity to work with the IEOR faculty members
<https://ieor.columbia.edu/directory?gsarqfields%5Bbiotypetid%5D=30>, whose
research interests go from discrete to continuous optimization, to
applications in finance, revenue management, healthcare, and machine
learning, among others. Graduates from the program have gone on to careers
in academia, research, and industry. The department provides academic and
funding support for its students.
The deadline for application is December, 15th.
See here <https://ieor.columbia.edu/doctoral> for more information about
the program and here <https://ieor.columbia.edu/admissions/application> for
the application process.
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[DMANET] Special Issue of Algorithms on Big Data Algorithmics
Dear colleagues,
we are editing a peer-reviewed special issue on "Big Data Algorithmics" of
the open-access journal "Algorithms", published by MDPI. We would be very
happy if you considered to submit a paper presenting relevant recent
results to the Special Issue. The deadline is December 31st, 2019. Topics
of interest include (but are not limited to) those listed below.
we are editing a peer-reviewed special issue on "Big Data Algorithmics" of
the open-access journal "Algorithms", published by MDPI. We would be very
happy if you considered to submit a paper presenting relevant recent
results to the Special Issue. The deadline is December 31st, 2019. Topics
of interest include (but are not limited to) those listed below.
* Computational Models for Big Data Processing
* MapReduce Algorithms
* Streaming Algorithms
* Parallel and Distributed Algorithms for Data Intensive Computing
* Approximation Algorithms for Massive Instances of Optimization Problems
* Algorithms for Large Graphs
* Models and Algorithms for Large Evolving Data and Sequences
* Models and Algorithms for Large Uncertain Data
* Dimensionality Reduction Techniques
* Compact Data Structures and Sketches
* Sampling Methodologies
* Impossibility Results
You can find the detailed call for contributions at the following URL:
https://www.mdpi.com/journal/algorithms/special_issues/Big_Data_Algorithmics
We wish to add that MDPI is granting five publication-fee waivers, which
will be awarded to the contributions accepted for publication in the
special issue which will receive the best reviews. The journal "Algorithms"
is indexed by Scopus, ESCI-Web of Science, Ei Compendex, and other
databases.
We look forward to receiving your submission.
With best regards,
Andrea Pietracaprina, Geppino Pucci, Francesco Silvestri
Guest Editors,
University of Padova, Italy
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[DMANET] INFORMS Telecommunication & Network Analytics Conference 2020 - Call for Papers
*First Announcement and Call for Papers:*
Dear colleagues,
We are pleased to announce the INFORMS Telecommunication and Network
Analytics Conference (TNAC), which will take place at Zuse Institute
Berlin (ZIB), on March 29 - April 1, 2020 in Berlin, Germany
(http://informs_tnac2020.zib.de/).
INFORMS TNAC 2020 (previously INFORMS Telecommunications Conference) is
the 15th of bi-annual conferences held by the INFORMS Telecommunications
and Network Analytics Section. The conference is going to be focused on
the theory and application of operations research and management science
to problems in telecommunications and network analytics, with particular
emphasis on new and emerging technologies. Additionally, the conference
is going to provide a platform for academics and industry experts
working in telecommunications and network analytics to exchange ideas
and initiate new collaborations, as in previous conferences.
Submissions from the interested researchers are welcome for an organized
session with 3-4 presentations, a tutorial session or a single
presentation. The topics of interest include (but are not limited to):
* Telecommunications modeling, policy and technology;
* Data mining and big data applications in telecommunications;
* Machine learning and artificial intelligence in network analytics;
* Network economics;
* Network design;
* Traffic routing;
* Network optimization;
* Network algorithms and metaheuristics;
* Sensor networks;
* Wireless and broadband networks;
* Vehicle and mobile computing;
* Cloud computing and fog computing;
* Semantic networks;
* Network survivability and reliability;
* Information security and privacy;
* Game theory applications;
* Internet and multimedia;
* Quality of service.
The abstract submission system is available online at
https://easychair.org/conferences/?conf=informstnac2020. Proposals for
organized sessions or tutorials can be directly submitted to
*informs_tnac2020@zib.de.*
*Important dates:*
Abstract Submission Deadline - January 15, 2020.
Acceptance Notification for Presentations - February 1, 2020.
End of Early Bird Registration - February 15, 2020.
A special issue of the international journal *Networks* (ISSN:1097-0037)
on /"Telecommunications and Network Analytics"/ will follow the conference.
We are looking forward to your contributions and to greeting you in
Berlin in 2020!
The Organization Committee:
Thorsten Koch, Conference Chair– Zuse Institute Berlin
Haldun Süral – Middle East Technical University
Christine Tawfik – Zuse Institute Berlin
Inci Yüksel-Ergün – Zuse Institute Berlin
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[DMANET] Assistant/Associate/Full Professor of Operations Management/Operations Research at Vrije Universiteit Amsterdam
Are you driven for research and teaching in logistics and operations management in a young, dynamic group? Then Vrije Universiteit Amsterdam would like to get to know you.
Location: AMSTERDAM
FTE: 0.8 - 1
JOB DESCRIPTION
We seek a new colleague who can contribute to building and extending the department's reputation for excellence in research and teaching. Our research aims at having an impact, evidenced by publications in top international academic journals and collaborations with companies. Teaching focuses on logistics and operations management/operations research courses and student supervision. Applicants receive a well-structured tenure track.
Your duties
- doing innovative research and publish this research in internationally leading journals
- creating a stimulating learning environment for students at all levels (B.Sc., M.Sc., Ph.D.)
- being active in acquiring additional research funds, both individually and together with your colleagues
- depending on your experience, contribute to the management of the department or school
REQUIREMENTS
We are looking for candidates with a solid background in quantitative research skills and an interest in logistics and operations analysis. You have a (nearly) completed PhD thesis in Operations Management, Operations Research, Industrial Engineering, Management Science or related fields a strong interest in analyzing and modelling real-life problems in logistics and operations using state-of-the-art quantitative methods witnessed by international scientific publications good teaching and communication skills to interact successfully with students, industry, and academic partners proficiency in English.
The position may be filled as (tenured) assistant professor, associate professor or full professor, depending on the candidates' merits and career stage.
WHAT ARE WE OFFERING?
A challenging position in an international and ambitious research group. The initial employment contract for assistant professors will be for a period of 6 years, with the possibility of obtaining a permanent position (tenure). In case of excellent performance, earlier tenure decisions are possible. For associate and full professors tailored contracts will be agreed upon.
Gross monthly salaries are based on qualifications and experience and are set in accordance with the Collective Labour Agreement of the Dutch Universities. Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
- a maximum of 41 days of annual leave based on full-time employment
- 8% holiday allowance and 8.3% end-of-year bonus
- considerable employer's contribution to the ABP pension scheme
- contribution to commuting expenses
- optional model for designing a personalized benefits package
- a relocation allowance
- you may also be eligible for a favorable tax ruling for high-skilled expats (the so-called 30% ruling), which means that 30% of the salary is free of taxes, resulting in a higher net salary
ABOUT VRIJE UNIVERSITEIT AMSTERDAM
The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. And to be a university where personal education and societal involvement play a leading role. Where people from different disciplines and backgrounds work together on innovations and on generating new knowledge. Our teaching and research embrace the whole spectrum of science - from the humanities, the social sciences and the pure sciences through to the life sciences and the medical sciences.
Vrije Universiteit Amsterdam is home to more than 26,500 students. We employ more than 4,600 individuals. The VU campus is easily accessible, located in the heart of Amsterdam's Zuidas district, a truly inspiring environment for teaching and research.
Diversity
Diversity is one of our university's core values. We are an inclusive community, and we believe that diversity and international activities enhance the quality of education and research. We are always looking for people who can enhance diversity on our campus thanks to their background and experience.
School of Business and Economics
The School of Business and Economics (SBE) provides high-quality education and excellent research in business administration and economics with a focus on contributing to the social, economic and ecological challenges of our time. Whether it is the use of robots in society or big data, labour market participation or flexibility in the labour market, traffic jams or the housing market, flash crashes in the stock market or choice behaviour in gambling, leadership or change management: we believe in goal-oriented scientific research and understand that progress in academics, the business community and society is achieved through cooperation, openness and social responsibility.
At SBE, all of our highly-motivated colleagues work together closely in a stimulating, dynamic and international environment to achieve our collective goal of encouraging society to make informed choices. Approximately 4,200 Bachelor's and Master's students and 1,700 executive students are enrolled at the School, and employs roughly 500 people.
APPLICATION
Are you interested in this position? Please apply via the application button and upload your motivation letter, curriculum vitae, list of publications, and a research and teaching statement until 15 January 2020.
Applications received by e-mail will not be processed.
Vacancy questions
If you have any questions regarding this vacancy, you may contact:
Name: Prof. Dr. Wout Dullaert
Position: Head of Department Supply Chain Analytics
E-mail: wout.dullaert@vu.nl<mailto:wout.dullaert@vu.nl>
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Location: AMSTERDAM
FTE: 0.8 - 1
JOB DESCRIPTION
We seek a new colleague who can contribute to building and extending the department's reputation for excellence in research and teaching. Our research aims at having an impact, evidenced by publications in top international academic journals and collaborations with companies. Teaching focuses on logistics and operations management/operations research courses and student supervision. Applicants receive a well-structured tenure track.
Your duties
- doing innovative research and publish this research in internationally leading journals
- creating a stimulating learning environment for students at all levels (B.Sc., M.Sc., Ph.D.)
- being active in acquiring additional research funds, both individually and together with your colleagues
- depending on your experience, contribute to the management of the department or school
REQUIREMENTS
We are looking for candidates with a solid background in quantitative research skills and an interest in logistics and operations analysis. You have a (nearly) completed PhD thesis in Operations Management, Operations Research, Industrial Engineering, Management Science or related fields a strong interest in analyzing and modelling real-life problems in logistics and operations using state-of-the-art quantitative methods witnessed by international scientific publications good teaching and communication skills to interact successfully with students, industry, and academic partners proficiency in English.
The position may be filled as (tenured) assistant professor, associate professor or full professor, depending on the candidates' merits and career stage.
WHAT ARE WE OFFERING?
A challenging position in an international and ambitious research group. The initial employment contract for assistant professors will be for a period of 6 years, with the possibility of obtaining a permanent position (tenure). In case of excellent performance, earlier tenure decisions are possible. For associate and full professors tailored contracts will be agreed upon.
Gross monthly salaries are based on qualifications and experience and are set in accordance with the Collective Labour Agreement of the Dutch Universities. Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
- a maximum of 41 days of annual leave based on full-time employment
- 8% holiday allowance and 8.3% end-of-year bonus
- considerable employer's contribution to the ABP pension scheme
- contribution to commuting expenses
- optional model for designing a personalized benefits package
- a relocation allowance
- you may also be eligible for a favorable tax ruling for high-skilled expats (the so-called 30% ruling), which means that 30% of the salary is free of taxes, resulting in a higher net salary
ABOUT VRIJE UNIVERSITEIT AMSTERDAM
The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. And to be a university where personal education and societal involvement play a leading role. Where people from different disciplines and backgrounds work together on innovations and on generating new knowledge. Our teaching and research embrace the whole spectrum of science - from the humanities, the social sciences and the pure sciences through to the life sciences and the medical sciences.
Vrije Universiteit Amsterdam is home to more than 26,500 students. We employ more than 4,600 individuals. The VU campus is easily accessible, located in the heart of Amsterdam's Zuidas district, a truly inspiring environment for teaching and research.
Diversity
Diversity is one of our university's core values. We are an inclusive community, and we believe that diversity and international activities enhance the quality of education and research. We are always looking for people who can enhance diversity on our campus thanks to their background and experience.
School of Business and Economics
The School of Business and Economics (SBE) provides high-quality education and excellent research in business administration and economics with a focus on contributing to the social, economic and ecological challenges of our time. Whether it is the use of robots in society or big data, labour market participation or flexibility in the labour market, traffic jams or the housing market, flash crashes in the stock market or choice behaviour in gambling, leadership or change management: we believe in goal-oriented scientific research and understand that progress in academics, the business community and society is achieved through cooperation, openness and social responsibility.
At SBE, all of our highly-motivated colleagues work together closely in a stimulating, dynamic and international environment to achieve our collective goal of encouraging society to make informed choices. Approximately 4,200 Bachelor's and Master's students and 1,700 executive students are enrolled at the School, and employs roughly 500 people.
APPLICATION
Are you interested in this position? Please apply via the application button and upload your motivation letter, curriculum vitae, list of publications, and a research and teaching statement until 15 January 2020.
Applications received by e-mail will not be processed.
Vacancy questions
If you have any questions regarding this vacancy, you may contact:
Name: Prof. Dr. Wout Dullaert
Position: Head of Department Supply Chain Analytics
E-mail: wout.dullaert@vu.nl<mailto:wout.dullaert@vu.nl>
**********************************************************
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* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
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* update of the replies received and to communicate it
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[DMANET] CFP: DCOSS 2020 - 16th International Conference on Distributed Computing in Sensor Systems - deadline January 18, 2020 - Los Angeles
=============================================================
The 16th Annual International Conference on
Distributed Computing in Sensor Systems (DCOSS 2020)
Los Angeles, California, USA
May 25 - 27, 2020
www.dcoss.org
=============================================================
The 16th Annual International Conference on
Distributed Computing in Sensor Systems (DCOSS 2020)
Los Angeles, California, USA
May 25 - 27, 2020
www.dcoss.org
=============================================================
DCOSS 2020 is the 16th International Conference on Distributed Computing
in Sensor Systems to be hosted in Los Angeles, California, USA, in June
25-27, 2020. In the last few years, we have witnessed a significant
growth in the use of IoT and distributed sensor systems in a number of
application areas, ranging from smart transport, energy and buildings,
to factory automation, smart healthcare and environmental monitoring. In
order for smart sensor systems to truly become useful and pervasive, we
need to address a number of research challenges, including the tight
integration of sensing and machine intelligence, reliable and efficient
networking, interoperability and scalability, the need for dependable
autonomy, interaction with humans, and important aspects of security,
privacy and trust. DCOSS focuses on issues arising in the entire IoT and
networked sensor systems stack: covering aspects of high-level
abstractions, models and languages, novel algorithms and applications,
system design approaches and architectures, as well as tools for
simulated and real deployments. Potential authors are invited to submit
original unpublished manuscripts that demonstrate recent advances in
both theoretical and experimental research. Topics of interest include,
but are not limited to, the following:
- Edge and fog computing: distributed computing models from sensor to
cloud
- Energy harvesting models and optimization
- Machine intelligence in distributed sensor systems and real time
analytics
- Communication and networking primitives and protocols
- Autonomy: closing the loop between sensing and actuation
- Task allocation, reprogramming, and reconfiguration
- Robustness, resilience and dependability
- Security and privacy issues
- Approaches, tools, and experience of deployment and operation
- Performance analysis: complexity, correctness, scalability
- Mobile and human-centered sensing
- Interoperability, heterogeneity and scalability
- Crowd sensing and social sensing techniques, applications, and systems
- Complex systems comprising wearable, robotic and/or fixed sensor
systems
- Novel and compelling applications
- IoT systems for emerging and developing economies
- Green and environmentally-friendly IoT
Authors are invited to submit original unpublished manuscripts that
demonstrate current research on distributed sensor systems related to
DCOSS topics of interest. Please use the US letter size (8.5 X 11 in)
standard IEEE conference LaTeX format or Microsoft Word template
available on the link below:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
All submissions should be written in English and submitted as a full or
work-in-progress paper. Full papers should have a maximum of eight (8)
printed pages including figures and references. Full papers are expected
to describe fully developed ideas with a thorough evaluation.
Work-in-progress papers should have a maximum of four (4) printed pages
including figures and references. Work-in-progress papers are expected
to describe new and interesting ideas that have not yet reached full
maturity.
Note that DCOSS does not follow the double-blind review policy. The
names and affiliations of all the authors must be present in the
submitted manuscript.
Please visit DCOSS website at www.dcoss.org for more information
******** Main Organizers ********
- General Chair:
Sotiris Nikoletseas (University of Patras and CTI, Greece)
- Technical Program Committee Chairs:
Omprakash Gnawali (University of Houston, USA)
Jie Gao (Stony Brook University, USA)
Thiemo Voigt (Uppsala University and RISE, Sweden)
- Technical Program Committee:
Tarek Abdelzaher, University of Illinois at Urbana Champaign
Stefano Basagni, Northeastern University
Carlo Alberto Boano, Graz University of Technology
Azzedine Boukerche, University of Ottawa
Kevin Chan, US Army Research Laboratory
Thomas Erlebach, University of Leicester
Raghu Ganti, IBM T J Watson Research Center
Raja Jurdak, CSIRO Data61
Tomasz Jurdzinski, University of Wroclaw
Evangelos Kranakis, Carleton University
Olaf Landsiedel, Kiel University
Jun Luo, Nanyang Technological Univeristy
Prasant Misra, TCS Research & Innovation
Nathalie Mitton, Inria Lille-Nord Europe
Miguel A. Mosteiro, Pace University
Luca Mottola, Politecnico di Milano, Italy and Ri.Se SICS, Sweden
Amy Murphy, Fondazione Bruno Kessler
Chiara Petrioli, Rome University 'La Sapienza'
Gian Pietro Picco, University of Trento
Cristina Pinotti, University of Perugia
Utz Roedig, Lancaster University
Rik Sarkar, University of Edinburgh
Niki Trigoni, University of Oxford
Vasos Vassiliou, University of Cyprus and RISE - Research Centre on
Interactive Media, Smart Systems and Emerging Technologies
Dong Wang, University of Notre Dame
Hongkai Wen, University of Warwick
Jie Yang, Florida State University
Desheng Zhang, Rutgers University
Ambuj Varshney, Uppsala University, Sweden
Nicolas Tsiftes, RISE, Sweden
Xiaolong Zheng, Beijing University of Posts and Telecommunications
Shijia Pan, UC Merced
Shan Lin, Stony Brook University
Jiaxin Ding, Shanghai Jiaotong university
Chenren Xu, Peking University
Sirajum Munir, Bosch Research
Shengrong Yin, Cadence Design Systems
Jean-Francois Chamberland, Texas A&M University
******** Keynote ********
Title: Scaling the Internet of Things
Speaker: Prof. Bhaskar Krishnamachari, University of Southern California
******** Collocated Events ********
DCOSS 2020 will collocate with several thematic Workshops and Special
Sessions on emerging topics and technologies.
The event will also feature a poster and demo session
Important Dates:
Abstract Registration Deadline: January 11th, 2020
Paper Submission Deadline: January 18th, 2020
Acceptance Notification: March 8th, 2020
Camera Ready Deadline: March 29th, 2020
Early Registration Deadline: April 15th, 2020
Conference Dates: May 25-27, 2020
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Wednesday, November 20, 2019
[DMANET] Tenure Track Assistant Professor in Mathematical Computer Science at the University of Illinois at Chicago
University of Illinois at Chicago
Department of Mathematics, Statistics, and Computer Science
Tenure Track Assistant Professor in Mathematical Computer Science
https://www.mathjobs.org/jobs/jobs/15229
The Department of Mathematics, Statistics, and Computer Science (MSCS) has
active research programs in a broad spectrum of centrally important areas
of pure mathematics, computational and applied mathematics, mathematical
computer science, probability and statistics, and mathematics education.
See https://mscs.uic.edu/ for more information.
The MSCS Department seeks applicants for an Assistant Professor to join the
Mathematical Computer Science group. Applicants working in the areas of
theoretical computer science and mathematical computing are especially
encouraged. Applicants must have a Ph.D. or equivalent degree in
mathematics, computer science or a related field, an outstanding research
record, and evidence of strong teaching ability. The salary is negotiable.
The position is effective August 16, 2020. Final authorization of the
position is subject to the availability of funding.
Applicants should provide a vita, research and teaching statements, and at
least three (3) letters of recommendation including one that addresses
teaching. Applications should be submitted through mathjobs.org at
https://www.mathjobs.org/jobs/jobs/15229 . No applications will be accepted
by surface mail or e-mail. To ensure full consideration, application
materials must be received by January 13, 2020, but applications will be
accepted through February 10, 2020.
The University of Illinois at Chicago is a Minority Serving Institution, an
HSI, and an AANAPISI. UIC is an affirmative action, equal opportunity
employer, dedicated to the goal of building a culturally diverse and
pluralistic faculty and staff committed to teaching and working in a
multicultural environment. We strongly encourage applications from women,
minorities, individuals with disabilities and covered veterans. The
University of Illinois may conduct background checks on all job candidates
upon acceptance of a contingent offer. Background checks will be performed
in compliance with the Fair Credit Reporting Act.
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* DMANET@zpr.uni-koeln.de
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* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
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**********************************************************
Department of Mathematics, Statistics, and Computer Science
Tenure Track Assistant Professor in Mathematical Computer Science
https://www.mathjobs.org/jobs/jobs/15229
The Department of Mathematics, Statistics, and Computer Science (MSCS) has
active research programs in a broad spectrum of centrally important areas
of pure mathematics, computational and applied mathematics, mathematical
computer science, probability and statistics, and mathematics education.
See https://mscs.uic.edu/ for more information.
The MSCS Department seeks applicants for an Assistant Professor to join the
Mathematical Computer Science group. Applicants working in the areas of
theoretical computer science and mathematical computing are especially
encouraged. Applicants must have a Ph.D. or equivalent degree in
mathematics, computer science or a related field, an outstanding research
record, and evidence of strong teaching ability. The salary is negotiable.
The position is effective August 16, 2020. Final authorization of the
position is subject to the availability of funding.
Applicants should provide a vita, research and teaching statements, and at
least three (3) letters of recommendation including one that addresses
teaching. Applications should be submitted through mathjobs.org at
https://www.mathjobs.org/jobs/jobs/15229 . No applications will be accepted
by surface mail or e-mail. To ensure full consideration, application
materials must be received by January 13, 2020, but applications will be
accepted through February 10, 2020.
The University of Illinois at Chicago is a Minority Serving Institution, an
HSI, and an AANAPISI. UIC is an affirmative action, equal opportunity
employer, dedicated to the goal of building a culturally diverse and
pluralistic faculty and staff committed to teaching and working in a
multicultural environment. We strongly encourage applications from women,
minorities, individuals with disabilities and covered veterans. The
University of Illinois may conduct background checks on all job candidates
upon acceptance of a contingent offer. Background checks will be performed
in compliance with the Fair Credit Reporting Act.
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* DMANET@zpr.uni-koeln.de
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* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
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[DMANET] Workshop on prediction and optimisation
Call for papers:
The 2020 STOR-i Workshop on Prediction + Optimization (POP 2020)
Lancaster, UK, April 2-3 2020.
https://wp.lancs.ac.uk/stori-pop-2020/
The aim of this workshop is to provide a platform for exchange of ideas, raise awareness of recent developments, and stimulate discussion at the interface of prediction and optimisation.
Confirmed Plenary Speakers:
Dick den Hertog (Tilburg University, Netherlands)
Ruud Teunter (University of Groningen)
Dolores Romero Morales (Copenhagen Business School, Denmark)
Important dates
. Abstract submission deadline: 10th of February 2020
. Registration deadline: 28th of February 2020
. Workshop: 2nd and 3rd of April 2020
On behalf of the Organizing Committee:
Trivikram Dokka
Ahmed Kheiri
Rebecca Killick
Adam Letchford
Ivan Svetunkov.
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*
* DMANET@zpr.uni-koeln.de
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* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
The 2020 STOR-i Workshop on Prediction + Optimization (POP 2020)
Lancaster, UK, April 2-3 2020.
https://wp.lancs.ac.uk/stori-pop-2020/
The aim of this workshop is to provide a platform for exchange of ideas, raise awareness of recent developments, and stimulate discussion at the interface of prediction and optimisation.
Confirmed Plenary Speakers:
Dick den Hertog (Tilburg University, Netherlands)
Ruud Teunter (University of Groningen)
Dolores Romero Morales (Copenhagen Business School, Denmark)
Important dates
. Abstract submission deadline: 10th of February 2020
. Registration deadline: 28th of February 2020
. Workshop: 2nd and 3rd of April 2020
On behalf of the Organizing Committee:
Trivikram Dokka
Ahmed Kheiri
Rebecca Killick
Adam Letchford
Ivan Svetunkov.
**********************************************************
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* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
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