[Iefac.list] IEFac.list Digest, Vol 134, Issue 13

Fri Apr 20 09:49:57 EDT 2018

Is It possible to post the following CFP.
Best regards,
Soundar Kumara

Journal of SMART AND SUSTAINABLE MANUFACTURING SYSTEMS 
Special Issue on AI for Manufacturing Systems: Challenges and Opportunities

Editor-in-Chief: Dr. Sudarsan Rachuri, Advanced Manufacturing Office, Office of Energy Efficiency and Renewable Energy, Department of Energy, Washington, DC, USA.

SUBMISSION OF ABSTRACTS A 250-word preliminary abstract with a title and the names and affiliations of all authors should be submitted to ASTM by April 30, 2018, via email to Alyssa Conaway at aconaway at astm.org.  

Upon the receipt of the abstract, based on its suitability to the special issue, ASTM Editorial Office will invite authors by 
May 10, 2018 to submit papers no later than July 15, 2018. All submissions will be uploaded to the special issue paper submission site (link to be sent via email). All submissions will be peer reviewed according to the normal procedures of this journal. For each accepted manuscript, the corresponding author will receive a copy in portable document format (PDF). 

Please contact the guest editors for additional information: Dr. Reinhold Achatz, (reinhold.achatz at thyssenkrupp.com), Thyssenkrupp AG; Prof. Sudarsanam Suresh Babu (sbabu at utk.edu), The University of Tennessee, Knoxville; Dr. Stephan Biller (Stephan.Biller at ibm.com), IBM Watson Research Center; Prof. Soundar Kumara (skumara at psu.edu), The Pennsylvania State University; and Dr. Ramesh Subramanian (Ramesh.subramanian at siemens.com), Siemens Energy.

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Today's Topics:

   1. CFP: Forecasting for Social Good (Tao Hong)
   2. IISE Transactions HSE - CFP - Special Issue on Artificial
      Intelligence in Healthcare Informatics (Shuai Huang)

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Message: 1
Date: Mon, 16 Apr 2018 09:58:54 -0400
From: Tao Hong <hongtao01 at gmail.com>
Subject: [Iefac.list] CFP: Forecasting for Social Good
To: iefac.list at mailhost.ces.clemson.edu
Message-ID: <8C2818D9-9564-4EAF-9BA0-584178BE694A at gmail.com>
Content-Type: text/plain; charset="utf-8"

Dear colleagues, 
> 
> Please find the CFP below. Submissions are due on 10/31/2018.
> 
> Regards,
> Tao
> www.drhongtao.com
> 
> Begin forwarded message:
> 
>> 
>> 
>> Energy Forecasting
>> Call For Papers: Forecasting for Social Good | International Journal 
>> of Forecasting
>> Posted: 13 Apr 2018 09:30 PM PDT
>> International Journal of Forecasting
>> 
>> Special Issue on Forecasting for Social Good
>> 
>> The area of forecasting and its link to decision making has been under research for decades. Whilst there have been many influential contributions seeking to examine the effects of forecasting under financial and economic motives, very little has been contributed (both in regular conferences and journal publications) on forecasting with social impact ? that is forecasting for the social good, regardless of the financial implications, or optimizations attempted based on economic terms.
>> 
>> The International Journal of Forecasting (IJF) is excited to announce this Call For Papers for the special issue on ?Forecasting for Social Good?. The purpose of the special issue is to attract high quality papers that are concerned with the social impact of forecasting.
>> 
>> Areas of interest include, but are not limited to:
>> Health and healthcare
>> Humanitarian operations
>> Disaster relief
>> Education
>> Social services
>> Environment
>> Sustainability
>> Sharing economy
>> Transportation
>> Urban planning
>> Fraud, collusion, and corruption
>> Government policy
>> Poverty
>> Privacy
>> Cyber security
>> Crime and terrorism
>> 
>> Submission Deadline: 31 October 2018.
>> 
>> Submission Guidelines:
>> 
>> To submit a paper for consideration for the Special Issue, please upload your paper online and include a cover letter clearly indicating that the paper is for the special issue ?Forecasting for Social Good?. The webpage for online submission is mc.manuscriptcentral.com/ijf. Instructions for authors are provided at www.forecasters.org/ijf/authors . All papers will follow IJF?s double-blind refereeing process. For further information about the Special Issue, please contact the guest editors.
>> 
>> Guest Editors
>> 
>> Bahman Rostami-Tabar, Cardiff University, UK
>> Email: rostami-tabarb at cardiff.ac.uk
>> 
>> Michael Porter, University of Alabama, USA
>> Email: mporter at culverhouse.ua.edu
>> 
>> Tao Hong, University of North Carolina at Charlotte, USA
>> Email: hong at uncc.edu
>> 
>> 
>> 
>> 
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Message: 2
Date: Mon, 16 Apr 2018 10:47:10 -0700
From: Shuai Huang <shuaih at uw.edu>
Subject: [Iefac.list] IISE Transactions HSE - CFP - Special Issue on
	Artificial Intelligence in Healthcare Informatics
To: iefac.list at mailhost.ces.clemson.edu
Message-ID:
	<CABNwBASpUf_e57UDtsFqjA5Pk9rMrw--TbH9dh2SE2pYEhdY=g at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

*IISE Transactions on Healthcare Systems Engineering*

*Special Issue **Call for Papers*

*Artificial Intelligence in Healthcare Informatics: Learning, Optimization, and Decision Making*

*Description:*

Fast-growing biomedical and healthcare data have encompassed multiple scales ranging from molecules, individuals, to populations and have connected various entities in healthcare systems  (providers, pharma,
payers) with increasing bandwidth, depth, and resolution. Those data are becoming an enabling resource for accelerating basic science discoveries and facilitating  evidence-based clinical solutions. Meanwhile, the sheer volume and complexity of the data present major barriers toward their translation into effective clinical actions. There is thus a compelling demand for novel algorithms, including machine learning, data mining and optimization, that specifically tackle the unique challenges associated with biomedical and healthcare data and allow decision-makers and stakeholders to better interpret and exploit the data.

This special issue is aimed at connecting research on artificial intelligence (AI), machine learning, operations research, medical decision makings, health informatics, smart and connected devices, statistics, systems engineering, and other related fields with the common goals to (1) develop new data-driven models to extract knowledge from complex healthcare datasets for clinical knowledge discovery and decision making; (2) integration of these data driven models with decision making models for better clinical decision makings; and (3) new types of data collection, sensing systems for better healthcare quality and patient outcomes. In order to provide a publication venue to promote and present these emerging research topics, IISE transactions on Healthcare Systems Engineering invites researchers, clinicians, scientists and engineers to submit their innovative research papers on the topic of AI, machine learning, operations research, human factor, sensing, health monitoring and intervention, and systems modeling, for healthcare informatics.

This special issue will be a partnership between the 3rd International Workshop on *B*iomedical inf*O*rmatics with *O*ptimization and *M*achine learning (BOOM) with the IISE Transactions on Healthcare Systems Engineering. The BOOM workshop is in conjunction with Federated AI Meeting of AAMAS, ICML, and IJCAI (FAIM). In 2016 and 2017, BOOM workshop has partnered with two journals and received a good number of high-quality
submissions:

- 2016: EURASIP JBSB: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.springeropen.com_collections_b_bi_bioml&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=lwFGYtXbPURJhWew-2AEaO-3Neb53JEtslS3Dber078&s=QBYs-inc2P3JZYAy3bM5NHxtV2B55WC3rJUgLxM48jg&e=

- 2017: EURASIP JASP: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.springeropen.com_&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=lwFGYtXbPURJhWew-2AEaO-3Neb53JEtslS3Dber078&s=WQB4Y7jnPNe2SigoeO5wK8mgvLkVcRsWEb0q7v1P05Y&e=
collections/b/b7/bioml2017

*Topics of interest (but not limited to)*

*Category **I: **Machine **Learning, AI, **and **Optimization **Algorithms*

   - Cutting edge AI and machine learning (e.g., deep learning) and
   optimization techniques to tackle real-world medical and healthcare
   problems.
   - Integration of artificial intelligence with operations research methods
    for addressing the big data issues in healthcare problems
   - Addressing challenges and roadblocks in healthcare informatics with
   reference to the data driven machine learning, such as imbalanced dataset
   , weakly structured or unstructured data, noisy and ambiguous labeling,
   and more.
   - Designing novel, applicable numerical optimization algorithms for
   biomedical data, that is usually large-scale, high-dimensional,
   heterogeneous, and noisy.
   - Revisiting traditional machine learning topics such as clustering,
   classification, regression and dimension reduction, that find application
    values in newly-emerging biomedical informatics problems.
   - Other closely related disciplines, such as image processing, data
   mining, new computing technologies and paradigms (e.g., cloud computing),
    control theory, and system engineering.

*Category **II: **Healthcare **Applications*

   - Clinical Informatics, including the scenarios of using computation and
   data for health care, spanning medicine, dentistry, nursing, pharmacy,
   and allied health.
   - Public Health Informatics, including the studies of patients and
   populations to improve the public health system and to elucidate
   epidemiology.
   - Human factor and human behavior analysis in healthcare
   - mHealth Applications, including the use of mobile apps and wearable
   sensors for health management and wellness promotion.
   - Cyber Informatics Applications, including the use of social media data
   mining and natural language processing for clinical insight discovery and
    medical decision making.

*Submissions:*

All papers should be submitted through the journal?s ScholarOne online submission website (https://urldefense.proofpoint.com/v2/url?u=https-3A__mc.manuscriptcentral.com_uhse&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=lwFGYtXbPURJhWew-2AEaO-3Neb53JEtslS3Dber078&s=1dnMRxVk9PduAS8oDPIfzyWch_3w7kKuRC6MRyz7xGw&e=). All submissions must abide by the journal?s requirements, and the journal?s regular processes will be followed for review of submissions. During the online submission process, please indicate that a submission is for this special issue.  There will be a prompt for this at the submission website.

*Timeline:*

Submission of Manuscripts Due               August 31, 2018

Notification of First Review Decision       Nov 30, 2018

Final Revision                                           Feb 28, 2019

Final Paper Acceptance Decision              April 30, 2019

Expected Publication                                 Summer 2019

*Guest Editors:*

For any questions about this special issue, including questions about the relevance/suitability of a planned submission, please contact the Special Issue Editors below.

Zhangyang Wang, Texas A&M University, USA, atlaswang at tamu.edu Yang Shen, Texas A&M University, USA, yshen at tamu.edu Shuai Huang, University of Washington, USA, shuaih at uw.edu

Tony McDonald, Texas A&M University, USA, mcdonald at tamu.edu Jiayu Zhou, Michigan State University, USA, jiayu at msu.edu

--
=================================
Shuai Huang, Ph.D
Assistant Professor
Department of Industrial & Systems Engineering University of Washington Box 352650, Seattle, WA 98195
Office: AERB 141B
Office Phone: 206-685-2953
Email: s <shuaih at uw.edu>huai.huang.ie at gmail.com
Website: *https://urldefense.proofpoint.com/v2/url?u=http-3A__www.shuaihuang.info_&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=lwFGYtXbPURJhWew-2AEaO-3Neb53JEtslS3Dber078&s=UMPsHoacPu0KGggou3B2ibcG05DKisb9sdIbMQPuiug&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.shuaihuang.info_&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=lwFGYtXbPURJhWew-2AEaO-3Neb53JEtslS3Dber078&s=UMPsHoacPu0KGggou3B2ibcG05DKisb9sdIbMQPuiug&e=>*
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