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

MP Associates, Inc.
THURSDAY November 16, 8:00am - 5:00pm | Newport & Marina
EVENT TYPE: WORKSHOP
SESSION 5W
EDA/CAD in the IoT eHealth Era: From Devices to Architectures, Applications, and Data Analytics

Speakers:
Majid Sarrafzadeh - Univ. of California, Los Angeles
Ken Shepard - Columbia Univ.
Lou Scheffer - Howard Hughes Medical Institute
Brian Otis - Google
Natasha Balac - Univ. of California, San Diego
Organizers:
Farshad Firouzi - MSG Group
Krishnendu Chakrabarty - Duke Univ.
Sani Nassif - Radyalis
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. This workshop will include an impressive lineup of internationally recognized experts for invited presentations. In addition, it will include a panel session to initiate conversations among technologists, engineers, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable, clinically intelligent IoT-aware healthcare systems. Finally, authors are invited to submit high quality posters or state-of-the-arts prototypes/platforms containing work from either academia or industry reporting novel advances in (but not limited to) the following topics: • EDA for IoT-aware medical and healthcare applications • Nano-CMOS and Post-CMOS based sensors, circuits, and controller • Novel devices and circuits, and architectural support for healthcare-aware IoT • Accelerators for IoT eHealth (e.g., learning, neuromorphic and cognitive computing) • Secure middleware for eHealth and IoT • Reprogrammable and reconfigurable embedded systems for eHealth • Big-data analytics, machine learning algorithms and scalable/parallel/distributed algorithms • Brainā€inspired and neuromorphic components, circuits, and systems for IoT eHealth • Fog computing/Edge clouds for health care cloud resource allocation and monitoring • Privacy preserving and security approaches for IoT eHealth • Fault tolerance, reliability and scalability • Case studies of smart eHealth architectures (telemedicine applications, health management applications, etc.)