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COMPSAC 2017

Building Digital Autonomy for a Sustainable World
Hosted by the Politecnico di Torino, Turin, Italy
July 4-8

Big Data Initiative - Special Events at COMPSAC 2017

The IEEE Future Directions Big Data Initiative is sponsoring a number of special events at COMPSAC. Please join us in exploring current research work and future trends in the many areas of computing in which Big Data plays a major role. Enter our data competition to win cash prizes! Additional information on Big Data Initiative sponsored events at COMPSAC will be posted here as information comes available. 

IEEE COMPSAC 2017 Big Data Analytics and Visualization Competition

Data Science is all about the processes and methods to access and analyze data to gain insights for informed decision making. To promote the awareness and analytic technology of Big Data, IEEE COMPSAC and the IEEE Big Data Initiative are organizing a Data Analytics Competition.

PDF - Guidelines and Submission Information

Big Data and Interconnected Technologies
DSAT Symposia Keynote
David G. Belanger, Senior Research Fellow, Stevens Institute of Technology; Former VP - Information, Software & Systems Research, AT&T Labs (USA); Chair of the IEEE Big Data Initiative

Abstract: We are on the verge of yet another quantum leap, enabled by new communications technologies and expansion into non-traditional fields, in the amount and types of data available for analysis. In parallel, technology, analytics/visualization, and governance to take advantage of the multiple V's have evolved at a very rapid pace. The technologies are typically oriented to using parallelism and distribution to manage scale and complexity without exploding cost, and they have matured into a second generation in which the tools, often open source, are accessible to a wide variety of users. A number of examples of application types, e.g., detecting rare events or recommender systems, business intelligence, using big data that would have been too costly or too difficult prior to it, have become commonplace.

Bio: David Belanger is currently a Senior Research Fellow at Stevens Institute of Technology. He continues his work in Big Data Technology, Applications, and Governance, and is a leader in the Business Intelligence & Analysis Master's Degree program. He also leads the IEEE Big Data Initiative (bigdata.ieee.org).

Dr. Belanger retired as Chief Scientist at AT&T Labs, and Vice President of Information, Software & Systems Research. He created the AT&T InfoLab, a very early (1995) participant in "Big Data" research and practice. Prior to that, he led the Software Engineering Research Department at Bell Labs. He holds a PhD in Mathematics from Case Western Reserve University.

Awards include: AT&T Science and Technology Medal for contributions in very large scale information mining technology; At&T Fellow for "lifetime contributions in software, software tools, and information mining; and the IEEE Communications Society Industrial Innovator Award. Belanger currently holds 31 awarded patents.

Converging Around Big Data and Applications
Panel Discussion
Organized by DSAT Symposium Co-chairs Kathy Grise, Senior Program Director, IEEE, and Xin Yao, University of Birmingham, UK

This panel will demonstrate the convergence in what are seemingly different and distinct technology fields. Divergent technologies and topics "converge" around big data and specific applications. Subject matter experts representing computing, biomedical, data intelligence, privacy and security, network communications, and energy will present the respective technologies, their applications, and insights from a practical perspective. The goal of this panel is to show how data fits into humanity, its factors and societal impacts; how data is sourced from smart devices, sensors, wearables, etc...levaraging applications and technologies that rely heavily on data; and practical use cases from industry.

Themes include:

  • How data fits into humanity, its factors and societal impacts
  • How data is sourced from smart devices, sensors, wearable devices, etc. leveraging applications, technologies, which also rely heavily on data
  • Practical case uses from industry

Each subject matter expert will provide an overview and presentation on how their respective area intersects and converges with big data. All the SME's will be invited back for a lively panel discussion.

Panelists include:

David G. Belanger, Senior Research Fellow, Stevens Institute of Technology, former Vice President, Information, Software & Systems Research, AT&T Labs, USA
David Belanger is currently a Senior Research Fellow at Stevens Institute of Technology. He continues his work in Big Data Technology, Applications, and Governance, and is a leader in the Business Intelligence & Analysis Masters Degree program. He also leads the IEEE Big Data Initiative. Dr. Belanger retired as Chief Scientist of AT&T Labs, and Vice President of Information, Software & Systems Research. He created the AT&T InfoLab, a very early (1995) participant in "Big Data" research and practice. Prior to that, he led the Software Engineering Research Department at Bell Labs. He holds a PhD in Mathematics from Case Western Reserve University. Awards include: AT&T Science and Technology Medal for contributions in very large scale information mining technology; AT&T Fellow for "lifetime contributions in software, software tools, and information mining"; and the IEEE Communications Society Industrial Innovator Award. Belanger currently holds 31 awarded patents.

Robert Saracco, President of EIT ICTLABS in Italy and Italy Node Director of EIT Digital (European Institute of Innovation and Technology), IEEE Future Directions Past Chair
Mr. Saracco is the President of EIT ICT Labs Italy and Italy Node Director of EIT Digital (European Institute of Innovation and Technology). His background is in math and computer science. Up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he has led the Future Directions Committee till the end of 2016. He has published over 100 papers in journals and magazines, and 14 books.

May Dongmei Wang, Associate Professor, The Wallace H. Coulter Joint Department of Biomdical Engineering, Kavli Fellow, Georgia Research Alliance Distinguished Cancer Scholar, Fellow of AIMBE, Georgia Institute of Technology and Emory University
May Wang is an Associate Professor in the Joint Department of Biomedical Engineering of Georgia Tech and Emory, School of Electrical and Computer Engineering of Georgia Tech, a Kavli Fellow, a Georgia Research Alliance Distinguished Cancer Scholar, and a Fellow of the American Institute for Biological and Medical Engineering (AIMBE). Professor Wang serves as Co-Director of Biomedical Informatics Program of Georgia Tech in Atlanta Clinical and Translational Science Institute (ACTSI), Co-Director of Georgia Tech Center of Bio-Imaging Mass Spectrometry, and Biocomputing and Bioinformatics Core Director in Emory-Georgia Tech Cancer Nanotechnology Center. She is also with Emory Winship Institute, Georgia Tech IBB and IPaT.

Dr. Wang's research interest is Biomedical Big Data Analytics, with a focus in Biomedical and Health Informatics (BHI) for Personalized and Predictive Health. Specifically she works on high throughput NGS and -omic data mining to identify clinical biomarkers, bionanoinformatics, pathological imaging informatics to assist clinical diagnosis, critical and chronic health informatics for evidence-based decision making, and predictive systems modeling to improve health outcome.

Currently, Prof. Wang serves as the Senior Editor for IEEE Journal of Biomedical and Health Informatics (J-BHI), an Associate Editor for IEEE Transactions on Biomedical Engineering ((TBME), and an Emerging Area Editor for Proceedings of National Academy of Science (PNAS). She also serves as a member in IEEE Big Data Initiative, IEEE EMBS Biomedical and Health Informatics Technical Committee Chair, and 2014-15 EMBS Distinguished Lecturer.

Doug Zuckerman, IEEE Communications Society President Emeritus
An active volunteer for more than 30 years, Doug Zuckerman is a past IEEE Division III (Communications Technology) Director, was 2008-09 President of the IEEE Communications Society, and previously held leadership positions in conferences, publications and membership development. He received his B.S., M.S., and Eng.Sc.D degrees from Columbia University, USA and is an IEEE Life Fellow. His professional experience, mainly at Bell Labs and Telcordia Technologies, USA spans the operations, management and engineering of emerging communications technologies, networks and applications. His work heavily influenced early standards for management of telecommunications networks. Presently semi-retired, he is still active in standards as a representative to the OpenFog Consortium as a board member. He is also a consulting employee for Vencore Labs. He currently serves on the IEEE Communications Soceity's Board of Governors and the IEEE Future Directions Committee.

 

     

COMPSAC Sponsors

   
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***Platinum Supporter****

 

     

IEEE Big Data

 

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***Bronze Supporter***

 
   
     

 

IT Pro - Review of COMPSAC 2016

 

Author Instructions

Authors, please use the IEEE Author Kit to prepare your papers for publication in the COMPSAC proceedings.

Please note COMPSAC C1J2 & J1C2 schemes for journal publication opportunity

Important Dates

May 9, 2017: Main Conference Camera Ready and Registration Due 
May 14, 2017: SRS Camera Ready and Registration Due
May 16, 2017: Workshop and Fast Abstract Camera Ready and Registration Due