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IMPORTANT DATES:

> SUBMISSION DEADLINE
    August 14, 2016                                    → August 31, 2016 (firm deadline)

System is opened for update until September 5th (US time) for all papers registered by deadline.

> AUTHOR NOTIFICATION
    October 05, 2016                 → October 11, 2016


> CAMERA-READY SUBMISSION
    October 30, 2016
> REGISTRATION DEADLINE
    November 10, 2016
> CONFERENCE DATES
   December 8-9, 2016

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Prof. Eryk Dutkiewicz

School of Computing and Communications

University of Technology Sydney, Australia

Title: Radio Spectrum Research for Emerging IoT and 5G Networks: Applications to Smart Buildings and Smart Cities

Abstract

The high demand for wireless Internet including emerging Internet of Things (IoT) applications is putting extreme pressure on better utilisation of the available radio spectrum. The expected spectrum “crunch” requires highly efficient radio resource management schemes with low complexity and high responsiveness to the changing network conditions. Spectrum sharing is regarded as an essential approach to regaining access to otherwise unused spectrum and it is considered an essential component in the development of IoT and 5G networks. Spectrum sharing can be conducted at different time scales. As the time scale of the operation of spectrum sharing decreases, the possibility for utilising more available spectrum holes increases. However, the shorter time scale brings with it challenges. Efficient decisions regarding the use of spectrum sharing require accurate knowledge of the spatial and temporal spectrum use in a geographical area of interest. This knowledge can be represented in Radio Environmental Maps which need to be generated efficiently and accurately. In this presentation we give an overview of the spectrum sharing concept and its emergence in standards activities for IoT and 5G networks. We also present our research on spectrum sharing including methods for efficient and accurate generation of Radio Environmental Maps and radio spectrum measurements campaigns on UTS campus in Sydney to enable Smart Building and Smart City IoT applications.

Biography

Prof. ErykProfessor Eryk Dutkiewicz obtained his Bachelor of Electrical and Electronic Engineering from the University of Adelaide, Australia in 1988, his Master of Science in Applied Mathematics from the University of Adelaide, Australia in 1992 and his PhD (Telecommunications) from the University of Wollongong, Australia in 1996. From 1999 to 2004 he worked at Motorola Laboratories in Sydney where he managed a wireless research laboratory. During that time he was also deeply involved in the development of the popular WiFi technology. Since returning to academia in 2004 he has worked closely with industry partners including Motorola, Freescale, and Intel on projects involving wireless sensor networks, 4G and 5G mobile communications networks, medical wireless body area networks and IoT networks. He is currently the Head of School of Computing and Communications at the University of Technology Sydney in Australia. Prof. Dutkiewicz has held visiting professorial appointments at the Chinese Academy of Sciences, Shanghai Jiao Tong University, City University of Hong Kong and Coventry University in the UK. He is an author of over 200 research papers and several book chapters. His professional activities in recent years included participation on various International Steering Committees. He is the General Chair of IEEE VTC 2017-Spring in Sydney.


Prof. André Langevin

École Polytechnique de Montréal

Center for Research in Enterprise Networks, Logistics and Transportation, Montréal, Canada.

Title: Quantitative Approaches for Road Maintenance

Abstract

Road maintenance operations involve a host of decision-making problems at the strategic, tactical, operational, and real-time levels. This talk presents quantitative approaches developed for the planning and control of three types of maintenance operations: road network surveillance, roadway marking and winter maintenance. The problems addressed fall in the class of arc routing problems. For each problem, the models incorporate the real-life operational constraints. The methods developed are embedded in decision support systems linked with information technology.

Biography

Prof. Andre Professor André Langevin obtained his bachelor degree in Mathematics at Université du Québec à Montréal, his M.Sc. and Ph.D in Operations Research from École Polytechnique de Montréal. His research expertise is in Optimization methods for logistics and transportation. He founded Polygistique, a research group on Logistics that merged in 2005 with two other research centers to become the Center for Research in Enterprise Networks, Logistics and Transportation. He has supervised more than 50 Ph.D. and M.Sc. thesis and published over 130 articles in peer-review international journals including Transportation Science, Transportation Research A, B, and E, Computers and Operations Research, Discrete Applied Mathematics, International Journal of Production Economics, Networks, Journal of the Operational Research Society, Journal of Intelligent Manufacturing, International Journal of Production Research. He has conducted many research projects with companies, municipalities, and the Quebec Ministry of Transportation.


Prof. Sungyoung Lee

Ubiquitous Computing Laboratory. Dept. Of Computer Engineering,

Director, East-West Neo Medicinal U-Lifecare It Research Center,

Kyung Hee University, Korea.

Title: Smart CDSS and Authoring Tool

Abstract

Clinical decision support system (CDSS) is tool that helps in making better medical decision thereby reducing clinical errors and improves quality of life. The reliable and accurate recommendations are based on high quality of knowledge of the CDSS. High quality knowledge is achieved using sophisticated knowledge acquisition method. These acquisition methods are required to follow a rigorous validation process to ensure valid knowledge model. Moreover, the validation process is required to be formally verified for internal consistencies. With traditional knowledge acquisition approaches, the final knowledge model is either partially validated or having problem in integration with healthcare workflow. In order to ensure the transformation of quality knowledge into correct executable knowledge which is sharable and interoperable, demands an intelligent authoring environment. The authoring environment shall possess the capabilities to facilitate the domain expert by hiding the inner complexities of the knowledge representation. In traditional knowledge authoring approaches, the domain experts are unnecessarily overburden with the creation of knowledge components which can be otherwise automatically achieved. Knowledge evolution is highly required to keep up with new developments in the domain knowledge. Traditional approaches have lack of integrated access to evidences in the literature thus complicate the process of knowledge evolution. In such disintegrated approaches the knowledge bases are most probably remains stale or leg behind the current advancements in the evolving medical domain. With AI supported intelligent knowledge-based technologies, we can provides a solid ground to resolve the above mentioned problem. In Smart CDSS research, we introduce a machine learning-based prediction model that automatically learns knowledge from a huge patient data with considerably a higher accuracy. To align the machine learned knowledge with clinical practice guidelines, we propose to generate actionable graphs from the clinical practice guidelines through a rigorous inspection method. For the creation of executable knowledge, we propose a smart knowledge authoring tool equipped with semantic reconciliation model (SRM) and Intelli-sense technologies for standardized and easy-to-use creation of knowledge by the non-computer expert physicians. The knowledge shareability achieved using standard knowledge representation of HL7 in form of Medical Logic Module (MLM). Standard MLM generation using SRM model enhances the interoperability of knowledge with clinical workflows. Unlike traditional approaches, in Smart CDSS an integrated approach for knowledge evolution using research evidence acquisition which is supported with automated methods for knowledge-based search query construction and statistical (machine learning) based quality assessments.

Biography

Prof. LeeProfessor Sungyoung Lee received his B.S. from Korea University, Seoul, South Korea in 1978. He got his M.S. and Ph.D. degrees in Computer Science from Illinois Institute of Technology (IIT), Chicago, Illinois, USA in 1987 and 1991 respectively. He has been a professor in the Department of Computer Engineering, Kyung Hee University, Korea since 1993. He is a founding director of the Ubiquitous Computing Laboratory, and has been affiliated with a director of Neo Medicinal ubiquitous-Life Care Information Technology Research Center, Kyung Hee University since 2006. Before joining Kyung Hee University, he was an assistant professor in the Department of Computer Science, Governors State University, Illinois, USA from 1992 to 1993. His current research focuses on Ubiquitous Computing, Cloud Computing, Intelligent Computing, Context-Aware Computing, WSN, Embedded Real-time and Cyber-Physical Systems, and eHealth. He has authored/coauthored more than 510 technical articles (190 of which are published in archival journals). He is a member of the ACM and IEEE.


Prof. Tam Vu (Invited Talk)

Director, Mobile and Networked Systems Lab,

University of Colorado Denver.

Title: Pediatric Mobile Healthcare: Opportunities, Challenges, and Solutions

Abstract

Since its dawn, mobile healthcare (mHealth) has held promises of reducing hospitalization and administrative costs, making healthcare more accessible by enabling continuous and convenient patient monitoring, and increasing healthcare quality with instant emergency responses. While mHealth has gained significant success over the last decade, pediatric mHealth remained disproportionally under explored. In this talk, we begin by discussing several opportunities and challenges in pediatric mobile healthcare. We then take a look at a few results in areas including non-contact and un-obtrusive vital signal monitoring and 24/7 continuous outpatient clinical assistance through wearables. We then take a broader look at the current and future challenges in moving pediatric mHealth results from research labs to practice.

Biography

Prof. VuProfessor Tam Vu is the director of Mobile and Networked Systems Lab at University of Colorado Denver where he and his team have been working on mobile healthcare, security and privacy protections for mobile systems and context services, and wireless communication. Collaborating with clinical doctors and industrial partners, he is also leading research efforts to design and develop mobile healthcare systems that help monitor and diagnose sleeping disorders, asthma, heart failure, and cognitive functions in children. Before that, he worked in various topics in core networking including inter domain routing, mobile-centric network architecture for future Internet, and end-host location privacy protection. He has interdisciplinary interests that combine algorithmic and theoretic aspects of computer science with hardware and software engineering, distributed systems and wireless communications of computer engineering. Tam Vu is an assistant professor in the Department of Computer Science, University of Colorado Denver since 2013. He received his Ph.D. in Computer Science from WINLAB, Rutgers University in 2013 and B.S. from Hanoi University of Technology in 2006. He is the recipient of CRC Interdisciplinary Fellowship at University of Colorado in 2015. He received Google Faculty Research Award in 2014 for his work in Chrome browser authentication. He received best paper award for inventing new form of communication, called Capacitive Touch Communication, in ACM MobiCom 2012 (a premier venue in mobile computing). He was also a recipient of ACM MobiCom 2011 best paper award for his work on driver phone use detection. His research also received wide press coverage including CNN TV, NY Times, The Wall Street Journal, National Public Radio (NPR), MIT Technology Review, Yahoo News, among other venues.

 
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