[Apologies if you receive this more than once]
CALL FOR ABSTRACTS
The 2017 International Conference on Brain Informatics (BI'17)
"Investigating the Brain and Mind from Informatics Perspective"
November 16-18, 2017, Beijing, China
Homepage: http://bii.ia.ac.cn/bi-2017/
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SUBMISSION DEADLINE: July 20, 2017
One-line submission:
https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B
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*** KEYNOTE SPEAKERS ***
Alan Evans (McGill University, Canada)
Tom Mitchell (Carnegie Mellon University, US)
Yanchao Bi (Beijing Normal University, China)
Adam Ferguson (University of California San Francisco, US)
Bin Hu (Lanzhou University, China)
Michael Hawrylycz (Allen Institute for Brain Science, US)
Dinggang Shen (University of North Carolina at Chapel Hill, US)
*** WORKSHOPS AND SPECIAL SESSIONS ***
(Full paper / abstract submission for worshop / special session is
still open, please see http://bii.ia.ac.cn/bi-2017/workshops.htm
for more information)
# Workshop on Knowledge Representation: Brain and Machine (KRBM 2017)
Organizers:
Yanchao Bi, Beijing Normal University, China
Yi Zeng, Chinese Academy of Sciences, China
# Workshop on Affective, Psychological and Physiological Computing
(APPC 2017)
Organizers:
Bin Hu, Lanzhou University, China
Zhijun Yao, Lanzhou University, China
Mi Li, Beijing University of Technology, China
# Workshop on Big Data and Visualization for Brainsmatics (BDVB 2017)
Organizers:
Qingming Luo, Huazhong University of Science and Technology, China
Anan LI, Huazhong University of Science and Technology, China
# Workshop on Brain Big Data Based Wisdom Service (BBDBWS 2017)
Organizer:
Jiajin Huang, Beijing University of Technology, China
# Workshop on Semantic Technology for eHealth (STeH 2017)
Organizers:
Jiao Li, Chinese Academy of Medical Sciences, China
Zhisheng Huang, Vrije University Amsterdam, The Netherlands
# Workshop on Big Data Neuroimaging Analytics for Brain and Mental
Health (BDNABMH 2017)
Organizer:
Shouyi Wang, University of Texas at Arlington, USA
# Workshop on Novel Methods of the Brain Imaging in the Clinical and
Preclinical Neuroscience (NMBICPN 2017)
Organizers:
Vassiliy Tsytsarev, University of Maryland School of Medicine, USA
Vicky Yamamoto, Keck School of Medicine of USC, USA
Yan Li, University of Southern Queensland, Australia
# The 1st International Workshop on Deep Learning in Brain MRI and
Pathology Images (DLBMPI 2017)
Organizers:
Yan Xu, School of Biological Science and Medical Engineering, BUAA
Eric Chang, Microsoft Research Asia
# Special Session on Brain Informatics in Neurogenetics (BIN 2017)
Organizers:
Hong Liang, Harbin Engineering University, China
Lei Du, Northwestern Polytechnical University, China
Li Shen, Indiana University School of Medicine, USA
# Special Session on BigNeuron Project (BP 2017)
Organizers:
Zhi Zhou, Allen Institute for Brain Sciences, USA
Min Liu, Hunan University, China
==================================================
Brain Informatics (BI) conference series provides a premier forum to
bring together researchers and practitioners in the fields of
neuroscience, cognitive science, computer science, data science,
artificial intelligence, information communication technologies, and
neuroimaging technologies.
BI'17 addresses the computational, cognitive, physiological,
biological, physical, ecological and social perspectives of brain
informatics, as well as topics relating to mental health and
well-being. It also welcomes emerging information technologies,
including but not limited to Internet/Web of Things (IoT/WoT), cloud
computing, big data analytics and interactive knowledge discovery
related to brain research. BI'17 also encourages submissions that
explore how advanced computing technologies are applied to and make a
difference in various large-scale brain studies and their
applications.
BI'17 welcomes paper submissions (full paper and abstract
submissions). Both research and application papers are solicited. All
submitted papers will be reviewed on the basis of technical quality,
relevance, significance and clarity. Accepted full papers will be
included in the proceedings by Springer LNCS/LNAI.
Workshop, Special-Session and Tutorial proposals, and
Industry/Demo-Track papers are also welcome. The organizers of
Workshops and Special-Sessions are invited to prepare a book proposal
based on the topics of the workshop/special session for possible book
publication in the Springer-Nature Brain Informatics & Health book
series (http://www.springer.com/series/15148).
*** Topics and Areas ***
Track 1: Cognitive and Computational Foundations of Brain Science
Track 2: Investigations of Human Information Processing Systems
Track 3: Brain Big Data Analytics, Curation and Management
Track 4: Informatics Paradigms for Brain and Mental Health
Track 5: Brain-Inspired Intelligence and Computing
IMPORTANT DATES :
===========================
May 1, 2017: Submission deadline for full papers
June 20, 2017: Notification of full paper acceptance
June 20, 2017: Submission deadline for workshop/special-session papers
June 30, 2017: Notification of workshop/special-session paper acceptance
July 20, 2017: Submission deadline for abstracts
July 30, 2017: Notification of abstract acceptance
November 16, 2017: Tutorials, workshops and special-sessions
November 17-18, 2017: Main conference
ABSTRACT (TYPE-II) SUBMISSIONS :
=================================
(Submission Deadline: July 20, 2017):
Abstracts have a word limit of 500 words. Experimental research is
particularly welcome. Accepted abstract submissions will be included
in the conference program, and will be published as a single,
collective proceedings volume.
Title: Include in the title of the abstract all words critical for a
subject index. Write your title in sentence case (first letter is
capitalized; remaining letters are lower case). Do not bold or
italicize your full title.
Author: List all authors who contributed to the work discussed in the
abstract. The presenting author must be listed in the first author
slot of the list. Be prepared to submit contact information as well as
conflict of interest information for each author listed.
Abstract: Enter the body of the abstract and attach any applicable
graphic files or tables here. Do not re-enter the title, author,
support, or other information that is collected in other steps of the
submission form.
Presentation Preference: Authors may select from three presentation
formats when submitting an abstract: "poster only", "talk preferred"
or "no preference." The "talk preferred" selection indicates that you
would like to give a talk, but will accept a poster format if
necessary. Marking "poster only" indicates that you would not like to
be considered for an oral-presentation session. Selecting "no
preference" indicates the author's willingness to be placed in the
best format for the program.
Each paper or abstract requires one sponsoring attendee (i.e. someone
who registered and is attending the conference). A single attendee
can not sponsor more than two abstracts or papers.
Oral presentations will be selected from both full length papers and
abstracts.
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One-line submission:
https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B
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*** Post-Conference Journal Publication ***
The Brain Informatics conferences have the formal ties with Brain
Informatics journal (Springer-Nature,
http://www.springer.com/40708). Accepted abstracts from the conference
will be expanded and revised for possible inclusion in the
Brain Informatics journal each year. It is fully sponsored and no any
article-processing fee charged for authors of Brain Informatics conference.
ORGANIZERS
==========
General Chairs
Bo Xu (Chinese Academy of Sciences, China)
Hanchuan Peng (Allen Institute for Brain Sciences, USA)
Qingming Luo (Huazhong University of Science and Technology, China)
Program Committee Chairs
Yi Zeng (Chinese Academy of Sciences, China)
Yong He (Beijing Normal University, China)
Jeanette Kotaleski (Karolinska Institute, Sweden)
Maryann Martone (University of California, San Diego, USA)
Organizing Chairs
Ning Zhong (Maebashi Institute of Technology, Japan, and
Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China
Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China)
Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China)
Workshop/Special-Session Chairs
An'an Li (Huazhong University of Science and Technology, China)
Sen Song (Tsinghua University, China)
Tutorial Chair
Wenming Zheng (South East University, China)
Publicity Chairs
Tielin Zhang (Chinese Academy of Sciences, China)
Shouyi Wang (University of Texas at Arlington, USA)
Yang Yang (Maebashi Institute of Technology, Japan, and
Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China)
Steering Committee Chairs
Ning Zhong (Maebashi Institute of Technology, Japan)
Hanchuan Peng (Allen Institute for Brain Science, USA)
*** Contact Information ***
tielin.zhang(a)ia.ac.cn
shouyiw(a)uta.edu
yang(a)maebashi-it.org
DEADLINE IS APPROACHING: THE Eighth International Green and Sustainable
Computing Conference (IGSC’17)
================================================================================================
www.green-conf.org
October 23-25 2017, Orlando, Florida
IGSC’17 will provide a forum for presenting and discussing innovative
research on a broad range of topics in the fields of sustainable and
energy-efficient computing and computing for a more sustainable planet. The
conference will consist of technical papers, panels, workshops, PhD Forum,
and tutorials on these topics. IGSC’17 will be technically co-sponsored by
the IEEE. Topics of interest include, but are not limited to:
Green Computing
-----------------
- Power- and thermal-aware algorithms, software and hardware
- Low-power electronics and systems
- Power-efficient multi/many-core chip design
- Application-specific ASICs and FPGAs
- Sensing and monitoring
- Power and thermal behavior and control
- Data centers optimization
- Smart grid and microgrids
- Power-efficient delivery and cooling
- Reliability, life-cycle analysis of IT equipment
Computing for Sustainability
-----------------------------
- Renewable energy models and prediction
- Matching energy supply and demand
- Smart transportation and electric vehicles
- Smart buildings and urban computing
- Energy harvesting, storage, and recycling
- Climate and ecosystem monitoring
- IT solutions for water quality, air pollution, and sustainable agriculture
- Computational models for epidemics, infectious diseases, and human
well-being
- Computational methods for sustainable economy and society
Paper submission guidelines
----------------------------------
IGSC’17 welcomes submissions that have not been published and that are not
under review by other conferences or journals. All submissions will be
evaluated on their originality, technical soundness, significance,
presentation, and interest to the conference attendees. Please refer to the
IGSC website (www.green-conf.org) for specific instructions related to
paper submission.
Best paper award and journal publication
------------------------------------------
The Technical Committee will select the best contributions to be extended
and considered by the Elsevier Journal on Sustainable Computing.
Workshops and special sessions
---------------------------------
Proposals are solicited for workshops and special sessions to be held in
conjunction with the conference. Proposals should be submitted to the
Workshops and Special Sessions Chair (iahmad(a)cse.uta.edu).
Ph.D. forum
------------
Submissions are solicited for a Ph.D. forum, from doctoral students engaged
in research on sustainable and energy-efficient computing. Please refer to
the IGSC website for specific instructions for extended abstract submission.
Important dates
-----------------
Deadline for submitting Workshop and Special Session proposals: May 15, 2017
Deadline for submitting Ph.D. forum extended abstracts: June 16, 2017
Paper submission: June 16, 2017
Notifications sent to authors: July 17, 2017
Camera-ready papers due: Aug 5, 2017
Organization
--------------
Steering Committee Chairs: Ishfaq Ahmad (University of Texas, Arlington,
USA), iahmad(a)cse.uta.edu
Behrooz Shirazi (Washington State University, USA), shirazi(a)wsu.edu
General Chair: Weisong Shi (Wayne State University, USA),
weisong(a)wayne.edu
Tech. Program Chair: Sudeep Pasricha (Colorado State University, USA),
sudeep(a)colostate.edu
Workshop Chair: Ishfaq Ahmad (University of Texas, Arlington, USA),
iahmad(a)cse.uta.edu
PhD Forum Chair: Mahdi Nikdast (Polytechnique Montréal, Canada),
mahdi.nikdast(a)polymtl.ca
Publicity Chair: Ishan Thakkar (Colorado State University, USA),
ishan9it(a)rams.colostate.edu
CALL FOR PAPERS
-----------------------------------------------------------
Third Workshop on
Quantum Communications and Information Technology (QCIT’17)
-----------------------------------------------------------
http://qcit.committees.comsoc.org/qcit17-workshop/
At IEEE Globecom’17, Singapore, 4-8 December 2017
http://globecom2017.ieee-globecom.org
The scope of this dedicated workshop is to explore the opportunities for
application of communications theory and technologies to quantum
technology
and its applications. The workshop is the annual main event of ComSoc’s
Emerging Technical Committee on Quantum Communications and Information
Technology (ETC-QCIT).
Over the last decade, a wide variety of experimental quantum
communications
and processing devices has been invented and used for fundamental
demonstrations in laboratories. Results confirm feasibility of real
applications in quantum communications and information related fields.
Recently one can observe upcoming applications in areas like a quantum
communications, quantum sensors and random number generators which are
partially even commercially available. Companies and governments started
to
spend significant amounts of funding in research and development of
quantum
technologies. However, the step from quantum technology based devices to
real systems running a communications or information processing task has
not
completed yet. Moreover, many problems show opportunities to contribute
with
knowhow, technologies and engineering out of the communications area. The
following topics are crucial to the development of future quantum
technology
based systems:
- Algorithms and applications complexity
- Analysis of classical vs quantum software
- Coding theory
- Communications and information theory
- Devices and circuits
- Entanglement distillation
- Error correction
- Experimental results and demonstrations
- Interconnection and complexity theory
- Metrology for quantum systems
- Modeling and simulation
- Network coding
- Photonic communications technology
- Processing and systems architecture
- Quantum electro-dynamics
- Quantum information theory
- Quantum key distribution
- Quantum sensors
- Quantum algorithms and applications
- Remote state preparation
- RF based programming and algorithms
- RF technology and control
- Signal processing for quantum control
It is the aim of this workshop to connect people from academia and
industry
to discuss about theory, technology and applications and exchange ideas to
move efficiently forward in research, engineering and development of this
exciting area.
Submission info for camera-ready manuscripts
--------------------------------------------
Original and unpublished regular papers are solicited from the
above-mentioned
areas. Regular papers have a length of 4 to 6 pages with an optional
payable
7th page. All manuscripts will be peer reviewed and published in the
workshop
proceedings and after presentation in IEEE Xplore. Templates for the
manuscripts can be downloaded from:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
The formatted manuscript should be electronically submitted as pdf via
EDAS:
https://edas.info/newPaper.php?c=23835
Further information is available in the Globecom 2017 webpages:
http://globecom2017.ieee-globecom.org
Important dates
---------------
Manuscript submission due date: 1. July, 2017
Notification date: 1. September, 2017
Final manuscript due date: 1. October, 2017
Conference date: 4.-8. December, 2017
Workshop organizers
-------------------
Andrea Conti, University of Ferrara, Italy, a.conti(a)ieee.org
Lajos Hanzo, University of Southampton, United Kingdom, lh(a)ecs.soton.ac.uk
Peter Mueller, IBM Research Zurich Laboratory, Switzerland,
pmu(a)zurich.ibm.com
Michael Ng, University of Southampton, United Kingdom, sxn(a)ecs.soton.ac.uk
The University of Luxembourg seeks to hire three outstanding PhD
candidates at the Computer Science and Communications Research Unit. The
positions are part of the FNR PRIDE doctoral training programme on
"Security and Privacy for System Protection". The University offers
highly competitive salaries and is an equal opportunity employer. You
will work in an exciting international environment and will have the
opportunity to participate in the development of a dynamic and growing
centre.
Successful candidates will participate in the activities of the Security
and Trust of Software Systems (SaToSS) research group led by Prof. Dr.
Sjouke Mauw. The group is focused on formalising and applying formal
reasoning to real-world security problems and trust issues. We offer
three different research projects:
- Multi-party Authentication Protocols. Further information and
submission guidelines can be found at: https://goo.gl/yqPo6q
- Adaptive Cyber-defenses. Further information and submission guidelines
can be found at: https://goo.gl/FlMo5E
- Security and Privacy in Social Networks. Further information and
submission guidelines can be found at: https://goo.gl/TpZ3S7
Applications can be sent to more than one research project. Each
application will be considered on receipt, therefore applying before the
deadline is encouraged.
==================================================
Deadline for applications: August 31st, 2017
==================================================
Call for papers -
*Future Special Issue on Emerging Trends, Issues and Challenges in
Internet of Things, Big Data and Cloud Computing*
https://www.journals.elsevier.com/future-generation-computer-systems/call-f…
The future development of cloud computing systems is more and more
influenced by Big Data and IoT. There are research and industrial works
showing applications, services, experiments and simulations in the Cloud
that support the cases related to IoT, Big Data and Security. Cloud
users and cloud service providers face a variety of new challenges like
encrypted data search, share, auditing, key management security and
privacy. There is also a need for protocols that facilitate big data
streaming from IoT to the cloud and QoS.
This special issue encourages submissions related to all aspects of IoT,
Big Data and Cloud Computing. In particular, it aims to examine the
prospects and challenges that arise in conjunction with the trending
topic in the field of Internet of Things and Big Data which are
essential to comply with the necessities of modern cloud applications.
Promoting the submission of the ongoing work with the existing important
theoretical and practical results, along with position papers and case
studies of already present verification projects, this special issue
will highlight the art in this domain. As one of the goals, this special
issue intends to convene researchers and practitioners to review the
diverse range of features of security, privacy, trust and reliability in
IoT and Cloud. It also examines significant theories, scrutinies
technology enablers, formulates significant application and devise new
methods to overcome the major problems that this research area poses.
The objective of this special issue is to capture the latest advances in
research topics that include but are not limited to:
* Big Data and IoT on the Cloud
* IoT Services and Applications
* Security, Privacy and Trust in IoTSensor Networks
* Remote Diagnosis and Development
* Data Analysis and Visualization for IoT
* Performance Evaluation and Modeling for IoT
* Networking and Communication Protocols for IoT
* Physical Security and Data LocationTechnological focus for Smart
Environments
* Data and Knowledge Management
* Data Mining
* Big Data Security
* Cloud Computing Platforms, Applicationsand Management
* Cloud Security and Privacy Management
* Mobile Cloud Computing
* Services Computing
* Hybrid Cloud Computing
* Virtualization of Resources in Clouds
* Energy Efficiency in Clouds
* Data Storage in Clouds
* Cloud Applications Performance and Monitoring
*Important Dates*
Paper submission due: June 30, 2017
First-round acceptance notification: September 1, 2017
Revision: October 15, 2017
Final decision: December 15, 2017
Submission of final paper: January 15, 2018
Publication date: March, 2018
*Submission Guidelines*
Paper submissions for the special issue should follow the submission
format and guidelines for regular Elsevier Journal of Future Generation
Computer Systems at http://ees.elsevier.com/fgcs/. All the papers will
be peer-reviewed following the FGCS reviewing procedures. Guest editors
will make an initial determination of the suitability and scope of all
submissions. Papers that either lack originality, clarity in
presentation or fall outside the scope of the special issue will not be
sent for review and the authors will be promptly informed in such cases.
Authors should select “*SI:**Emerging Trends, Issues and Challenges in
Internet of Things, Big Data and Cloud Computing*” when they reach the
“Article Type” step in the submission process. Top conference papers
from SC2-2016 (http://grid.chu.edu.tw/sc2-2016) and IoTDBS 2017
(http://www.iotbds.org) will be invited for extended and enhanced
version for this special issue. Extended conference contributions must
have *at least 50%* difference from the original works (the authors must
indicate the conference name and make the reference to the base
conference paper).
*Guest Editors*
Anna Kobusinska (Lead guest editor),
Faculty of Computing,Poznan University of Technology, Poland.
Raghavendra S,
Department of Computer Science and Engineering,University Visvesvaraya
College of Engineering,Bangalore, Karnataka, India.
Carson Leung,
Department of Computer Science,University of Manitoba,Winnipeg, MB, Canada.
Robert Hsu,
Department of Computer Science and Information Engineering, Chung Hua
University, Taiwan.
Victor Chang,
International Business School Suzhou, Xi’an Jiaotong Liverpool
University, China.
Dear Colleagues,
Univ of Pau was elected in the Isite excellence call for proposal that ranks it among the best French universities in the domain of sciences.
Within the frame of the Isite project which concerns energy and environment, the civil engineering takes it place in the domain of building physics but also in the classical domain
of mechanics of materials (concrete, rocks), safety of structures, couplings and particularly in the domain of computation modeling thru FE computations.
- 2 junior chair, 12 PhD grants and 4 postdoctoral fellowship are available
The department of Civil Engineering of the University is located in the attractive place of the French Basque Country in the suburb of Bayonne-Anglet-Biarritz.
Applicants are firstly chosen on their skills and transcripts, then they must develop a project in link with a professor of the university.
Be careful at the deadlines
- 20th of June for the Junior Chair
- 10th of June for the Phd and the post-doc positions
Best regards
Christian La Borderie
SIAME EA-4581 <http://siame.univ-pau.fr/> / ISA-BTP <http://isabtp.univ-pau.fr/>
Université de Pau et des Pays de l'Adour <http://www.univ-pau.fr/>.
European Journal of Environmental and Civil Engineering <http://www.tandfonline.com/tece>
I apologize for any cross-posting of this announcement
========================================================================================
6th International Workshop on
Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio)
http://staff.icar.cnr.it/cannataro/parbio2017/
held in conjunction with ACM BCB 2017
ACM Conference on Bioinformatics, Computational Biology and Health Informatics
August 20-23, 2017
Boston, MA, USA
http://acm-bcb.org/
========================================================================================
* * * CALL FOR PAPERS * * *
========================================================================================
IMPORTANT DATES
Paper submission (EXTENDED): June 11, 2017
Notifications sent to authors: June 18, 2017
Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE)
Workshop: August 20, 2017
========================================================================================
Due to the availability of high-throughput platforms (e.g. next generation sequencing, microarray and mass spectrometry) and clinical diagnostic tools (e.g. medical imaging), a recent trend in Bioinformatics and Biomedicine is the increasing production of experimental and clinical data.
Considering the complex analysis pipeline of the biomedical research, the bottleneck is more and more moving toward the storage, integration, and analysis of experimental data, as well as their correlation and integration with publicly available data banks.
While Parallel Computing and Grid Computing may offer the computational power and the storage to face this overwhelming availability of data, Cloud Computing is a key technology to hide the complexity of computing infrastructures, to reduce the cost of the data analysis task, and especially to change the overall model of biomedical research and health provision.
Grid infrastructures may offer the data storage needed to store the huge experimental and biomedical data, while parallel computing can be used for basic pre-processing (e.g. parallel BLAST, mpiBLAST) and for more advanced analysis (e.g. parallel data mining). In such a scenario, novel parallel architectures (e.g. CELL processors, GPUs, FPGA, hybrid CPU/FPGA) coupled with emerging programming models may overcome the limits posed by conventional computers to the mining and exploration of large amounts of data.
On the other hand, these technologies yet require great investments by biomedical and clinical institutions and are based on a traditional model where users often need to be aware and face different management problems, such as hardware and software management, data storage, software ownership, and not scalable costs (different professional-level applications in the biomedical domain have high starting costs that prevent many small laboratories to use them).
The Cloud Computing technology, that is able to offer scalable costs and increased reachability, availability and easiness of application use, and also the possibility to enforce collaboration among scientists, is already changing the business model in different domains and now it starts to be used also in the bioinformatics (see for instance the recent JCVI Cloud Bio-Linux initiative) and biomedical domains. However, many problems remain to be solved, such as availability and safety of the data, privacy-related issues, availability of software platforms for rapid deployment, execution and billing of biomedical applications.
The goal of ParBio 2017 is to bring together scientists in the fields of high performance and cloud computing, computational biology and medicine, to discuss, among the others, the organization of large scale biological and biomedical databases, the parallel/service-based implementation of bioinformatics and biomedical applications, and problems and opportunities of moving biomedical and health applications on the cloud.
The workshop will focus on research issues, problems and opportunities of moving biomedical and health applications on the cloud, as well as on the opportunity to define guidelines and minimum requirements for a Biomedical Cloud. Moreover, the workshop will discuss about parallel and distributed management and analysis of molecular and clinical data, that more and more need to be integrated and analyzed in a joint way.
TOPICS OF INTEREST
The main themes and research topics will regard the applications of parallel and high performance computing to biology and medicine, as well as Cloud Computing opportunities and problems for bioinformatics and biomedical applications
- Large scale biological and biomedical databases
- Data integration and ontologies in biology and medicine
- Integration and analysis of molecular and clinical data
- Parallel bioinformatics algorithms
- Parallel visualization and exploration of omics and clinical data
- Parallel visualization and analysis of biomedical images
- Computing environments for large scale collaboration
- Scientific workflows in bioinformatics and biomedicine
- Emerging architectures and programming models for bioinformatics and biomedicine
- Parallel processing of bio-signals
- Modeling and simulation of complex biological processes
- Cloud Computing for bioinformatics and biomedicine
- Cloud Computing for health systems
- Privacy issues for Cloud-based biomedical applications
- (Web) Services for bioinformatics and biomedicine
- Grid Computing for bioinformatics and biomedicine
- Peer-To-Peer Computing for bioinformatics and biomedicine
PROGRAM
The workshop will take place on August 20, 2017
It is scheduled as half-day
The program is not available yet.
PAPER SUBMISSION, REGISTRATION AND PUBLICATION
ParBio 2017 welcomes original submissions that have not been published and that are not under review by another conference or journal. Papers should not exceed 10 pages in ACM template on 8.5 x 11 inch paper (see ACM templates - http://www.acm.org/sigs/publications/proceedings-templates). All submissions will be evaluated on their originality, technical soundness, significance, presentation, and interest to the conference attendees.
Submission implies the willingness of at least one of the authors to register and present the work associated with the paper submitted. ParBio’s technical program committee will review all submitted papers. All accepted papers of registered authors will be included in the workshop proceedings published by ACM digital libraries. Authors of selected papers may be invited to adapt their papers for their publication in several journals. Authors of accepted papers will be required to submit an online ACM Copyright Form. Authors will be contacted by ACM requesting this information. (Note that ACM copyright permissions are directly compatible with NIH and similar open access policies, see http://authors.acm.org/main.html for more information.). Authors should submit papers using the ParBio2016 Easy Chair Installation (https://easychair.org/conferences/?conf=parbio2017)
IMPORTANT DATES
Paper submission (EXTENDED): June 11, 2017
Notifications sent to authors: June 18, 2017
Camera-ready papers due: June 21, 2017 (THIS IS A FIRM DEADLINE)
Workshop: August 20, 2017
WORKSHOP ORGANIZERS
Prof. Mario Cannataro, Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Italy
Prof. John A. Springer, Department of Computer and Information Technology, Purdue University, USA
PROGRAM COMMITTEE
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
Pratul K. Agarwal, Oak Ridge National Laboratory, USA
Marian Bubak, AGH Krakow, PL, and University of Amsterdam, NL
Umit Catalyurek, The Ohio State University, USA
Jake Y. Chen, Indiana University - Purdue University Indianapolis (IUPUI), USA
Tim Clark, Harvard Medical School, USA
Giuseppe Di Fatta, University of Reading, UK
Werner Dubitzky, University of Ulster, UK
Ananth Y. Grama, Purdue University, USA
Concettina Guerra, Georgia Institute of Technology, USA
Pietro Hiram Guzzi, University Magna Graecia of Catanzaro, Italy
Kamer Kaya, The Ohio State University, USA
Salvatore Orlando, University of Venezia, Italy
Maria S. Perez, Universidad Politecnica de Madrid, Madrid, Spain
Richard Sinnott, University of Melbourne, Melbourne, Australia
Roberto Tagliaferri, University of Salerno, Italy
Paolo Trunfio, University of Calabria, Italy
Pierangelo Veltri, University Magna Graecia of Catanzaro, Italy
Albert Zomaya, University of Sydney, Australia
Call For Papers (SUBMISSION DEADLINE EXTENDED TO JUNE 23)
ATIR: Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks
Co-located with ACM SIGIR 2017
August 11, 2017. Tokyo, Japan
Workshop Website: https://www.eecis.udel.edu/~hfang/ATIR.html <https://www.eecis.udel.edu/~hfang/ATIR.html>
Motivation
The goal of the proposed workshop is to bring together researchers and practitioners interested in applying axiomatic analysis to all kinds of IR and IR-related problems, including particularly both those interested in developing retrieval models and those interested in developing evaluation measures, and to enable them to share their findings (both positive or negative), to present their latest research results, and to discuss future directions.
Theme
As the title of the workshop suggested, the general theme of the workshop will be about all aspects of applications of axiomatic thinking to solve IR and IR-related problems. The basis of this general theme is the recent growth of work on applying axiomatic thinking to analyze and improve both retrieval models and evaluation metrics, which we expect to continue. The existing work has clearly demonstrated many advantages of axiomatic thinking, including particularly specific theoretical results in the form of novel constraints to be satisfied by retrieval functions or evaluation metrics and improved models or evaluation metrics. However, much more research is still needed in multiple directions.
Opportunities of applying axiomatic thinking also go beyond analyzing the basic retrieval functions; in fact, understanding constraints is also beneficial to many IR tasks that use machine learning techniques. Instead of having a designer carefully choose a set of assumptions to make when designing a formal model, these approaches use machine learning to weight items in a pool of features derived from many retrieval heuristics. However, this potentially results in a bloated backend which computes many features irrelevant to the task or collection. Having knowledge about relevant features would help slim down backends and speed learning and ranking. An important strength of the axiomatic methodology is that evaluation data sets become resources used to check motivated hypotheses instead of optimization mechanisms, which are at risk of overfitting. There are even more opportunities for new research on applying axiomatic thinking to evaluation as has already been happening where researchers have done axiomatic analysis of metrics for tasks such as text categorization, clustering, and ranking.
In general, an understanding of how to apply axiomatic thinking to IR problems may become increasingly important as information retrieval continues to broaden into new areas. New tasks often require new constraints, and an understanding of these constraints can provide guidance on how to adapt existing methods or how to develop new methods for the new tasks. For example, domain-specific IR tasks such as medical record search might require new retrieval constraints that can capture the domain knowledge.
The workshop aims to bring together researchers and practitioners from a broader community to exchange research ideas and results and to foster collaborations across subcommunities. Some of the specific topics we envision to be covered by the workshop theme include, but not limited to:
- What constraints are effective to improve retrieval performance independent of the underlying model?
- What constraints were expected to be useful but have not been effective in practice? Why not?
- In the case of evaluation metrics, why some metric constraints do not affect the system comparison or the user satisfaction?
- How can we potentially unify the axiomatic analysis of IR models and evaluation metrics given that both lines of work aim at formally modeling relevance?
- Have new languages, media, or domains suggested new constraints for established domains?
- To what extent is a valid constraint in one domain also valid in other domains? More generally, which constraints for retrieval methods or evaluation metrics are core ones, and which constraints are highly scenario dependent?
- How can axiomatic thinking be combined with machine learning techniques to learn more effective retrieval functions?
Planned Activities
- Keynote talk
- Panel
- Presentations of papers
Paper Submission
We solicit papers describing research work related to the above theme. In addition to the innovative methods with promising results, we also welcome papers reporting negative results.
Papers need to be:
- 4 or 10 pages
- In ACM format
- Submission site: https://easychair.org/conferences/?conf=atir2017 <https://easychair.org/conferences/?conf=atir2017>
Formal proofs can be added as additional material. The submissions are not anonymous.
Important Dates
- Submission deadlines: June 23 (for both long and short papers)
- Review due: July 7
- Notification: July 10
Workshop Organizers
- Enrique Amigo
- Hui Fang
- Stefano Mizzaro
- ChengXiang Zhai
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Hui Fang
Associate Professor
David L. and Beverly J. C. Mills Chair
JPMC Scholar
Department of Electrical and Computer Engineering
University of Delaware
Call for Participation - HPDC-2017<http://hpdc.org/2017/>
Washington D.C., June 26-30, 2017
Early registration is open!<http://hpdc.org/2017/registration/>
The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing.
The 26th HPDC conference and its seven associated workshops will take place at the Westin George Hotel, June 26-30 in Washington, D.C., featuring a technical program covering various aspects of high-performance computing, three distinguished keynote speakers, and an industry session:
HPDC 2017 Program<http://hpdc.org/2017/program/>
Keynote speakers:
Julia Lane<http://cusp.nyu.edu/people/julia-lane/>, Professor at NYU's Center for Urban Science and Progress (CUSP).
Rick Stevens<https://www.cs.uchicago.edu/directory/rick-stevens>, Professor at UChicago and Argonne National Labs.
Janice Coen<https://staff.ucar.edu/users/janicec>, Project Scientist at the National Center for Atmospheric Research (NCAR).
Achievement Award Recipient:
David Abramson<http://researchers.uq.edu.au/researcher/2986>, Professor at University of Queensland.
Technical Sessions:
* Scheduling
* Data Management
* Parallel Methods and Algorithms
* Fault Tolerance
* Performance Modeling and Analysis
* Data Partitioning
Workshops:
FTXS<https://sites.google.com/site/ftxsworkshop/home/ftxs-2017> (Fault Tolerance)
SEM4HPC<http://periscope.in.tum.de/sem4hpc/> (Software Engineering)
ROSS<http://htor.inf.ethz.ch/ross2017/> (Operating Systems)
ScienceCloud<https://sites.google.com/site/sciencecloudhpdc/> (Scientific Cloud Computing)
HPDC'17 Student Travel Grants Application<http://www.hpdc.org/2017/registration/student-travel-grants/>
Applications due by June 2nd, 2017
General Co-Chairs
Howie Huang - George Washington University, USA
Jon Weissman - University of Minnesota, USA
Program Co-Chairs
Adriana Iamnitchi - University of South Florida, USA
Alexandru Iosup - Vrije Universiteit Amsterdam and Delft University of Technology, the Netherlands
Posters Chair
Radu Prodan - University of Innsbruck, Austria
Workshops Chairs
Rich Wolski - University of California at San Diego, USA
Ana Lucia Varbanescu - University of Amsterdam, The Netherlands
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Shuaiwen Leon Song
Staff Research Scientist
High Performance Computing Group,
Advanced Computing, Mathematics, and Data Division,
Pacific Northwest National Lab (PNNL),
Washington, US,
Office:509-372-4189
Email: Shuaiwen.Song(a)pnnl.gov
HomePage: https://sites.google.com/site/shuaiwenleonsongresearch/
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It is never too late to become what you might have been. ^
-- George Elliot ^
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