2017 International Conference On Computer Aided Design

The Premier Conference Devoted to Technical Innovations in Electronic Design Automation

November 13-16, 2017Irvine Marriott Irvine, CA

Tue, 2017-08-29 15:54 -- root
The interaction between technology and healthcare has a long history. Recent years have seen rapid growth in the Internet of Things (IoT) paradigm, the advent of miniature wearable biosensors, and research advances in “Big Data” techniques for effective manipulation of large, multiscale, multimodal, distributed and heterogeneous data sets. These advances have generated new and exciting opportunities for personalized precision eHealth and mHealth services. IoT heralds a paradigm shift in the healthcare horizon by providing many advantages, including availability and accessibility, ability to personalize and tailor content, and cost-effective delivery. Although IoT eHealth has vastly expanded the possibilities to fulfill a number of existing healthcare needs, many challenges must still be addressed in order to develop consistent, suitable, safe, flexible and power-efficient systems that are suitable for medical needs. To enable this transformation, it is necessary for technological advancements in both hardware and software, and for these communities to work together. Breakthroughs in areas ranging from bioelectronics to communication devices, software and networking, pattern recognition, data-analytics, Big Data, and cloud computing are needed to enable next-generation sensing, control, and computing, and to realize the IoT vision for smarter healthcare. This workshop will address all these important aspects of novel IoT eHealth technologies. It will encompass smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and Big Data analytics. Then workshop will identifying new perspectives, and highlight compelling research issues and challenges such as scalability, interoperability, device-network-human interfaces, and security, with various case studies. In addition, through this workshop, we will show how knowledge from CAD areas such as large-scale analysis and optimization techniques can be applied to the important problems of eHealth.

Program Committee:

Tsung-Yi Ho - National Tsing Hua Univ.

Bahar Farahani - Univ. of Tehran

Kunal Mankodiya - Univ. of Rhode Island

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Newport & Marina
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Thursday, November 16, 2017 -
08:30 to 17:00
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