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***** Call For Papers *****
IEEE Transactions on ENGINEERING MANAGEMENT
===========================================
Special Issue: Services Computing Management for Artificial
Intelligence and Machine Learning
http://www.ieee-tems.org/call-for-papers-services-computing-management-for-artificial-intelligence-and-machine-learning/
Services computing requires a multi-disciplinary lens that
integrates science and technology to bridge the gap between
business services and Information Technology (IT) services.
Services computing management involves: 1) Ensuring services
computing strategy is allied with how the organization manages IT
and how IT is aligned with organizational strategy, 2) Designing,
building, sourcing and deploying computing solutions that are
resilient, trusted, efficient, and address Quality of Service
(QoS) expectations, and 3) Overseeing all matters related to
business and IT services operations and resources both across
business domains and within domains such as finance and
healthcare. The pervasive nature of services computing management
is exhibited in almost all industry settings. In everyday life,
new business service innovations will give rise to an emergent,
data-focused economy that will only pick up steam as both consumer
and business utilization of Internet of Things (IoT) technologies
is advanced. Concomitantly, we are moving towards an era of
Artificially Intelligent (AI) services, which are deployed in
multi-scale, complex distributed architectures. These AI services
can be formed from high-level computational intelligence that
leverages emerging analytical techniques associated with Big Data,
Web analytics, data and text mining, ontology engineering,
semantic web, and many other advances. At the same time, it
becomes increasingly important to anticipate technical and
practical challenges and to identify best practices learned
through experience. In addition, researchers, businesses, and
policymakers have seized on Machine Learning (ML) services to
support their decisions. ML services will catalyze smart
application areas such as drone and robotic computing. ML services
will continue to improve with analytics discipline advancements in
areas such as data/text mining, predictive analytics, and
algorithms that model high-level abstractions in data by using
multiple processing layers with complex structures or non-linear
transformations. At the same time, the design, development, and
deployment of ML services present novel methodological and
technological challenges.
The goal of this special issue is to present both innovative and
practical solutions to managerial and technical challenges. In
addition, new and compelling service computing technologies are of
interest. This special issue will share research and related the
practical experience in order to benefit readers, and it will
provide clear proof that services computing management is playing
an ever-increasing important and critical role in supporting
computational intelligence – especially in exciting new
cross-discipline research topics in computer science, information
systems, and the management sciences. Topics of interest include,
but are not limited to:
* Data Modeling and Implementation
* Analytics and Algorithms
* Business Models
* Delivery, Deployment, and Maintenance
* Real-time Processing Technologies and Online Transactions
* Conceptual and Technical Architecture
* Visualization Technologies
* Modeling and Implementation
* Security, Privacy, and Trust
* Industry Standards and Solution Stacks
* Provenance Tracking Frameworks and Tools
* Software Repositories
* Organizations Best Practices
* Case Studies (e.g., robotics, healthcare, financial, aviation,
etc.)
All submissions must be original with the following requirements:
(a) Some innovative component of services computing management for
AI and ML, and (b) Related applications in the special issue
theme. The paper may not be under review by another publication.
Please prepare the manuscript according to IEEE-TEM’s guidelines
(
http://www.ieee-tems.org/guidelines-for-authors/) and submit it
the journal’s Manuscript Central site
(
https://mc.manuscriptcentral.com/tem-ieee). Please clearly state
in the cover letter that the submission is for this special issue.
Submission Schedule
-------------------
July 28, 2019 Full paper submission due
September 28, 2019 First-round reviews and an initial decision
October 28, 2019 Revised submissions due
December 28, 2019 Final decision
January 28, 2020 Camera-ready version due
Guest Editors
-------------
Patrick C. K. Hung
Faculty of Business and Information Technology
University of Ontario Institute of Technology, Canada
Email:
patrick.hung@uoit.ca
Michael Goul
W. P. Carey School of Business
Arizona State University, USA
Email:
Michael.Goul@asu.edu
Haluk Demirkan
Milgard School of Business
University of Washington Tacoma, USA
Email:
haluk@uw.edu
Shih-Chia Huang
Department of Electronic Engineering
National Taipei University of Technology, Taiwan
Email:
schuang@ntut.edu.tw
?
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