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The 1st IEEE International Workshop on Integrated Smart Healthcare (WISH 2019)
July 15-19, 2019, Milwaukee, Wisconsin, USA

-*-*-*-*-*-*-*-*-*-*-*-*-*-*Call for workshop-*-*-*-*-*-*-*-*-*-*-*-*-*-*

Designing pervasive systems for Smart Healthcare environments poses
many challenges, e.g. with respect to intelligence, scalability,
interoperability, robustness, analytics, monitoring, user involvement,
safety and privacy, etc. The goal of this workshop is to explore these
challenges through practical and buildable solutions. We aim to gather
the principal practitioners and their experiences under one roof to
discuss their findings, incite collaboration and move the state of the
art forward. We plan to position this forum as the premier venue for
presenting and discussing work in progress in how to develop and
maintain pervasive computing solutions in Smart Health domain.
Smart healthcare emerges as a novel technology that aims to provide
round-the-clock monitoring of several vital signs of patients using
various health sensors, specialized communication protocols, and
intelligent context-aware applications. Smart healthcare applications
proactively contact the caregiver provided any abnormality arises in
the health condition of a monitored patient. It has been a boon to the
patients suffering from different diseases and requiring continuous
monitoring and care, such as, disabled individuals, assisted living,
children of different ages, and adults who are susceptible to
near-fatal falls or sudden increases in blood pressure, heart rates,
stress level, etc. Since, there are heterogeneous devices and
communication technologies introduced by different companies, major
issues that need to be addressed are (1) A unified platform to
facilitate coordination between the large-scale device distributions,
(2) plug-and-play type inclusion of newer health sensors and replacing
old ones without destabilizing the system, (3) Securing personal
health records collected over multiple devices, and finally (4)
collecting, managing, storing and making decisions over several
critical healthcare events composing various real-time data traces.
Applying machine intelligence techniques by AI (Artificial
Intelligence) and ML (Machine Learning) researchers for intelligent
and decentralized decision making in Healthcare should also be
considered for the distributed Smart Health applications.

-*-*-*-*-*-*-*-*-*-*-*-*-*-*Scope of the workshop-*-*-*-*-*-*-*-*-*-*-*-*-*-*

The workshop is supposed to stir interesting discussions on various
challenging topics on smart healthcare, such as, data acquisition and
context reasoning, analytics and knowledge management, architectural
and algorithmic issues, energy-efficiency, data verification, complex
pervasive computing interactions, cost efficiency, data privacy and
security, etc.
Topics of interest include, but are not limited to, the following:

• Wearable and implantable wireless sensors for healthcare
• Computing for Health Internet-of-Things
• IoT-Health case studies, testbeds & experimental results
• Interoperable & connected medical devices
• Distributed Smart Health platform comprising multiple sensors
• Energy efficiency in wireless health monitoring
• Usability, user friendliness and reusability
• Safety-critical smart health systems
• Communications infrastructure for mobile healthcare apps
• Protocols for wireless healthcare
• Secure Computing for Healthcare Systems
• Securing healthcare data exchange
• Interference analysis & mitigation for IoT-health devices
• Performance modelling of mobile healthcare systems
• Big data in healthcare
• Scalability, performance and reliability of smart health mobile apps
• Data fusion, data mining and event detection
• Diagnostic and decision support algorithms (using Machine Learning and AI)
• Computing platforms for natural language processing on electronic
health records
• Patient tracking & localization technology
• Detection, control and spread of epidemics
• Predictive analytics for Rural Healthcare solutions
• Multi-modal device interaction
• People-Sensing and Crowdsourcing
• User experience and adaptation
• Accessibility
• Decision theoretic models in rural healthcare
• Hardware assisted intelligent systems design for smart healthcare applications
• Intelligent hardware / embedded systems for smart healthcare
• Application of emerging technologies in smart healthcare systems design
• Other emerging design / modelling aspects of such systems / applications

We also welcome papers on novel applications or environments that have
a strong Smart Health component, especially if those novel
applications and environments challenge existing ideas and design

-*-*-*-*-*-*-*-*-*-*-*-*-*-*Workshop organizers-*-*-*-*-*-*-*-*-*-*-*-*-*-*

General Co-Chairs

Md Osman Gani, Miami University, USA
Vaskar Raychoudhury, Miami University, USA
Ferdaus Ahmed Kawsar, East Tennessee State University, USA

Keynote Speaker:
Adib Zaman, Regenstrief Center for Healthcare Engineering, Purdue
University, USA

Web Chair
Vaskar Raychoudhury, Miami University, USA

Program Committee Members

• Christian Krupitzer, University of Würzburg, Germany
• Shahriar Nirjon, University of North Carolina at Chapel Hill, USA
• Navrati Saxena, Sungkyunkwan University, South Korea
• Brian Bennett, East Tennessee State University, USA
• Adib Zaman, Purdue University, USA
• Janick Edinger, University of Mannheim, Germany
• Esra Erdin, East Tennessee State University, USA
• Weiping Zhu, Wuhan University, China
• Mohammad Khan, East Tennessee State University, USA
• Abhishek Roy, Samsung Electronics, South Korea
• G M Tanimul Ahsan, University of Wisconsin Green Bay, USA

-*-*-*-*-*-*-*-*-*-*-*-*-*-*Important Dates-*-*-*-*-*-*-*-*-*-*-*-*-*-*

Deadline for paper submission: March 31, 2019
Notification of acceptance:    May 1, 2019
Camera-ready due:         May 17, 2019
Vaskar Raychoudhury
PhD, Computing (HK PolyU)
SMIEEE, SMACM, DAAD Fellow, AvH Fellow
Associate Professor
Department of Computer Science and Software Engineering
205V Benton Hall, Miami University
510 E. High St., Oxford, OH 45056
E-mail: [log in to unmask] / [log in to unmask]
Web: http://www.users.miamioh.edu/raychov/
"A mind all logic is like a knife all blade. It makes the hand bleed
that uses it." -Rabindranath Tagore

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