COMPSAC 2015: The 39th Annual International Computers, Software & Applications Conference
Taichung, Taiwan - July 1-5, 2015
Mobile and Cloud Systems – Challenges and Applications
COMPSAC 2015 Keynote Speakers & Plenary Events
Host Opening Remarks: Dr. San-Cheng Chang, Vice Premier, Executive Yuan, Taiwan
Presidential Opening Remarks: Tom Conte, 2015 IEEE Computer Society President
While on leave from NC State in 2000-'01, Tom served as the Chief Microarchitect and Manager of Back End Compiler Development for DSP startup BOPS, Inc. Tom is a past chair of the IEEE CS Technical Committee on Microprogramming and Microarchitecture (TC-uARCH). He also served as the chair of the IEEE Computer Society Awards Committee, as a member of the Computer Society's Board of Governors, and as First Vice President and Vice President for Publications of the IEEE Computer Society. He is the 2015 President of the IEEE Computer Society.
Tom currently directs a group of Ph.D. students topics spanning computer architecture and compiler optimization, including manycore architectures, microprocessor architectures, back-end compiler code generation, and architectural performance evaluation. Tom is a fellow of the IEEE.
Keynote Speaker: Yi-Bing Lin, National Chiao Tung University, Taiwan
Deputy Minister of Ministry of Science & Technology, Taiwan
Big Data and Potential Traffic Information Applications
Abstract: The comprehensive analysis on historical and real-time big data delivers huge business value, explores business intelligence, and assists in developing marketing strategies. This talk uses traffic information cloud as an example to show how big data is used to improve the accuracy and coverage of traffic information. Taiwan government is investing Traffic Info. cloud services to bring new business opportunities. It is proved that the Traffic Info. Cloud can effectively provide traffic information in terms of accuracy and large information coverage area. However, to execute the plan of Traffic Info. cloud service, our government is facing the challenges of big data: to extract traffic information from high-velocity data, and to store and analyze high-volume historical data. We show how these issues can be addressed through cloud computing platform and describe the Lin-Chang-Huangfu (LCH) Scheme that takes the advantage of the standard statistics available in mobile switching centers for vehicle speed analysis. We also show how cloud computing techniques are utilized for animation visual effect and passenger movement prediction.
Bio: Yi-Bing Lin received his Bachelor’s degree from National Cheng Kung University, Taiwan, in 1983, and his Ph.D. from the University of Washington, USA, in 1990. From 1990 to 1995 he was a Research Scientist with Bellcore (Telcordia). He then joined the National Chiao Tung University (NCTU) in Taiwan, where he remains. In 2010, Lin became a lifetime Chair Professor of NCTU, and in 2011, the Vice President of NCTU. Since 2014, Lin has been appointed as the Deputy Minister of Ministry of Science and Technology, Taiwan.
Lin is also an Adjunct Research Fellow, Institute of Information Science, Academia Sinica, Research Center for Information Technology Innovation, Academia Sinica, and a member of board of directors, Chunghwa Telecom. He serves on the editorial boards of IEEE Trans. on Vehicular Technology. He is General or Program Chair for prestigious conferences including ACM MobiCom 2002. He is Guest Editor for several journals including IEEE Transactions on Computers. Lin is the author of the books Wireless and Mobile Network Architecture (Wiley, 2001), Wireless and Mobile All-IP Networks (John Wiley,2005), and Charging for Mobile All-IP Telecommunications (Wiley, 2008). Lin received numerous research awards including 2005 NSC Distinguished Researcher, 2006 Academic Award of Ministry of Education and 2008 Award for Outstanding contributions in Science and Technology, Executive Yuen, 2011 National Chair Award, and TWAS Prize in Engineering Sciences, 2011 (The World Academy of Sciences). He is in the advisory boards or the review boards of various government organizations including Ministry of Economic Affairs, Ministry of Education, and Ministry of Transportation and Communications. Lin is AAAS Fellow, ACM Fellow, IEEE Fellow, and IET Fellow.
Keynote Speaker: Tsugio Makimoto, Technovision, Japan
Chip Technologies as the Engine for IT Revolution
Chip technologies have been one of the most powerful engines for the computer and IT revolution, and this trend will continue toward the future. Chip innovations will be reviewed through three different pattenrs: disruptive innovation, exponential innovation or Moore's Law, and cyclical innovation or Makimoto's Wave. These innovations played key roles for the "democratiziation of computing," starting from state level machine, to company level machine, to group level machine, to personal level machine. Based on the long-term forecast of chip technologies, future outlook of societal changes will be provided. There will be a marked progress in Robotics supported by AI, IoT and chip innovations.
Bio: Dr. Makimoto is directing his own consulting office, Technovision, as President, after retiring from Sony as Corporate Advisor in 2005. He started his semiconductor career in 1959 at Hitachi, where he assumed various positions including Senior Executive Managing Director in 1997, and Corporate Chief Technologist in 1999. Major achievements include leadership for moving the industry mainstream from NMOS to CMOS by the commercialization of high speed memories and microprocessors based on the reengineered CMOS technology, discovery of the cyclical nature of the semiconductor industry, which was later named "Makimoto's Wave," and the commercialization of the RISC based microprocessors featuring the highest class of MIPS/W available at the time.
He received his BS/Applied Physics from the University of Tokyo in 1959, MS/EE from Stanford University in 1966, and PhD from the University of Tokyo in 1971. He was nominated an IEEE Fellow in 1997.
Dr. Makimoto was on the International Advisory Panel of National Science and Technology Board of Singapore (99-00), Chairman of Japan Institute of Electronics Packaging (03-05), Member of the Industry Advisory Board of UC/Berkeley (EE/CS, 03-06), Board of Director of Chartered Semiconductor Manufacturing (99-08), Chairman of PDF Solutions Japan (05-10), and Board of Director of Elpida Memory (06-10). He is currently a Board Member of the Society of Semiconductor Industry Specialists, and Advisor of Nantero Corp. He was awarded the Bellwether Award from Semico Research in 2003 for his vision, leadership, and outstanding contributions to the semiconductor industry, the SEMI Recognition Award at 2004 ITPC, and the Global IT Award from the Republic of Armenia in 2013 for his global contributions in the area of IT.
Keynote Speaker: Mikio Aoyama, Nanzan University, Japan
Software Engineering for the Connected Automobiles: Opportunities and Challenges
This talk will high-lighten the diverse research opportunities and challenges arising from the software engineering on the connected automobile. The undergoing convergence of automotive and information technology makes automobile fundamentally change. Now, the automobile is not only a vehicle of transportation, but also a vehicle of information, communication, and services. Under the hood of an automobile, more than 50 computers and more than 50 sensors are working together through in-vehicle networks for making the automobile safer, greener and smarter. The software in an automobile is highly-complicated safety-critical, real-time distributed. The size of the software well exceeds ten million lines of code, and is rapidly evolving. Now autonomous, or driverless, automobile is a big challenge in automotive software engineering, and many areas in software engineering. Through communication networks, the automotive software can send the big data on the driver behavior, location, traffic, and weather to cloud computing for mobile crowd sensing. It is considered as an IoT (Internet of Things). Now, automotive software engineering is an exciting research subject for a wide area of research and development in software engineering.
Bio: Dr. Mikio Aoyama is a professor at the department of software engineering, Nanzan university, Japan. He received an MS from Okayama University, Japan, and PhD from Tokyo Institute of Technology, Japan. From 1980 to 1995, he worked for Fujitsu Limited, where he involved in the development of large-scale communications software, and the development and practice of advanced software engineering. From 1986 to 1988, he was visiting scholar at the University of Illinois, Chicago, USA. In 1995, he joined Niigata Institute of Technology as a professor, then moved to Nanzan University in 2001.
Dr. Aoyama has been working in software engineering, and contributed in the area of the agile software development, component-based software engineering, service computing, and automotive software engineering. He served a member of the Editorial Board of IEEE Software, IEEE Transactions on Services Computing, Executive Committee of TCSE (Technical Council on Software Engineering), IEEE Computer Society, the Journal of Software Maintenance and Evolution Research and Practice, and the Requirements Engineering Journal. He also served a member of board of Information Processing Society of Japan, and chair and member of the steering committee of APSEC (Asia-Pacific Software Engineering Conference). He served for general co-chair of 12th IEEE International Requirements Engineering Conference (RE 2004), and 14th Asia-Pacific Software Engineering (APSEC 2007), and PC Co-chair of the Experience Track on Automotive Systems, 30th International Conference on Software Engineering (ICSE 2008). Currently, He is a chair of the Requirements Engineering Committee of JISA (Japan Information Technology Service Industry Association), PROMCODE consortium, and OASIS OSLC PROMCODE TC.
CELT Plenary Speaker: Edmundo Tovar, Universidad Politécnica de Madrid, Spain
Keys in the future of the Open Engineering Education
Abstract: Open Educational Resources (OER) provide a strategic opportunity to improve the quality of education. One of the fundamental concepts related to OER is "the ability to freely adapt and re-use existing pieces of knowledge". Reuse of educational resources by both individuals and organizations may have significant creative and economic benefit for educational environment.
The boom reached by the MOOC has reawakened interest in OER. However, not all those who have shown interest in open education have at their disposal the key elements that they must know to meet the several factors need to be considered with respect to successful use of OER in higher education.
Current applications of OER in engineering education are at different degrees of maturity: topic-related definitions, open licenses, use and reusability, enhancing discoverability, open policies, opening up OER repositories and datasets, and OER quality are issues that must be managed and understood.
Bio: Edmundo Tovar received the computer engineering degree and Ph.D. degree in informatics from the Madrid Technical University (Universidad Politécnica de Madrid, UPM), Madrid, Spain, in 1986 and 1994, respectively.
He is currently with the UPM as a Professor of information technology in enterprise with the Languages and Information Systems Department, and a leader of an Innovation Group in Educa- tion in the UPM focused in the application of Web technologies to OpenCourseware and OER. He has been participating in different European projects about OER. He has served as an elected member of the Board of Directors of the OpenCourseWare Consortium (2009–2013), Executive Director of the OCW Office of the UPM (2008–2012), and currently Executive Director of the Open Education Office at UPM.
Prof. Tovar is a member of the IEEE Education Society Board of Governors (2005–2012) and Vice President of Educational Activities and Awards (2013–2014). He is a member on behalf of the Education Society of the University Resources Committee of the IEEE Educational Activities Board. He is a Certified Software Development Professional (CSDP) of the IEEE Computer Society (2005 to date). He is on the Steering Committee of the IEEE EDUCON and the IEEE Frontiers in Education (FIE) Conference (International and Europe Chair, 2008 to date) and is a program and planning committee member, reviewer, and chairman of several others. He is Co-Chair of FIE 2014, organized in Madrid, Spain, by the IEEE and the ASEE. He was awarded the IEEE EDUCON 2011 Meritorious Service Award (jointly with Manuel Castro) of the EDUCON 2011 conference; the 2008 Distinguished Chapter Leadership Award of the IEEE Education Society, and the 2011 Best Chapter Award (by the IEEE Region 8) and the 2007 Chapter Achievement Award (by the IEEE Education Society) for collective work in the Spanish Chapter of the IEEE Education Society. He received the award for Educational Innovation of the UPM in 2007.
ITiP Plenary Speaker: Stephen L. Diamond, Vice Chair, IEEE Future Directions Committee
In only a few years, cloud computing has disrupted computing, impacting everything from governments, supercomputers, service providers, enterprise data centers, small businesses, to individual consumers. Enabled by the cloud, big data analytics has disrupted enterprises by giving managers unprecedented insight into their business. What I call the "next computing platform," building on cloud computing, big data, mobile, social networking, the Internet of Things, and cyber-physical systems, will compose an infrastructure encompassing billions of users, millions of applications, exabytes of data creation per day, and ultimately hundreds of billions of connected things. This next computing platform will create tremendous opportunities and challenges for IT.
Bio: Stephen L. Diamond was the founding chair of the IEEE Cloud Computing Initiative and is now Vice-chair of the IEEE Future Directions Committee and Chair of the IEEE Cloud Computing Standards Committee. Steve has 30 years of senior management, marketing, business development, M&A, and engineering experience in computer systems, software, semiconductors, and standards. He is GM of the Industry Standards Office and Global Standards Officer at EMC Corporation. Prior to EMC, he was Director of Product Management for Intercloud Computing at Cisco Systems, where he was responsible for Cisco's cloud standards program and built Cisco's first AWS-compatible cloud. Before that, he was VP of Marketing at Equator Technologies, a VLIW signal-processing semiconductor startup. Steve has authored more than 20 technical publications on cloud computing, memory and microprocessor technology, signal processing, expert systems, and computer graphics. He is President Emeritus of the IEEE Computer Society, twice served on the IEEE Board of Directors, was a founding member of the IEEE Standards Association Board of Governors, and was Editor-in-Chief of IEEE Micro Magazine. Steve was awarded the IEEE Computer Society Richard E. Merwin Medal in 2014, the IEEE Third Millennium Medal, and the Computer Society Golden Core Award.
Keynote Speaker: May D. Wang, Georgia Tech and Emory University
Biomedical Big Data Analytics for Patient-Centric and Outcome-Driven Precision Health
Rapid advancements in biotechnologies such as –omic (genomics, proteomics, metabolomics, lipidomics etc.), next generation sequencing, bio-nanotechnologies, molecular imaging, and mobile sensors etc. accelerate the data explosion in biomedicine and health wellness. Multiple nations around the world have been seeking novel effective ways to make sense of “big data” for evidence-based, outcome-driven, and affordable 5P (Patient-centric, Predictive, Preventive, Personalized, and Precise) healthcare. My main research focus is on multi-modal and multi-scale (i.e. molecular, cellular, whole body, individual, and population) biomedical data analytics for discovery, development, and delivery, including translational bioinformatics in biomarker discovery for personalized care; imaging informatics in histopathology for clinical diagnosis decision support; bionanoinformatics for minimally-invasive image-guided surgery; critical care informatics in ICU for real-time evidence-based decision making; and chronic care informatics for patient-centric health.
In this talk, first, I will highlight major challenges in biomedical and health informatics pipeline consisting of data quality control, information feature extraction, advanced knowledge modeling, decision making, and proper action taking through feedback. Second, I will present informatics methodological research in (i) data integrity and integration; (ii) case-based reasoning for individualized care; and (iii) streaming data analytics for real-time decision support using a few mobile health case studies (e.g. Sickle Cell Disease, asthma, pain management, rehabilitation, diabetes etc.). Last, there is big shortage of data scientists and engineers who are capable of handling Big Data. In addition, there is an urgent need to educate healthcare stakeholders (i.e. patients, physicians, payers, and hospitals) on how to tackle these grant challenges. I will discuss efforts such as patient-centric educational intervention, community-based crowd sourcing, and Biomedical Data Analytics MOOC development.
Our research has been supported by NIH, NSF, Georgia Research Alliance, Georgia Cancer Coalition, Emory-Georgia Tech Cancer Nanotechnology Center, Children’s Health Care of Atlanta, Atlanta Clinical and Translational Science Institute, and industrial partners such as Microsoft Research and HP.
Bio: May D. Wang, Ph.D. is an Associate Professor in the Joint Department of Biomedical Engineering of Georgia Tech and Emory and School of Electrical and Computer Engineering of Georgia Tech. She is a Kavli Fellow, a Georgia Research Alliance Distinguished Cancer Scholar, and a Fellow of The American Institute for Biological and Medical Engineering (AIMBE). She serves as Co-Director of Biomedical Informatics Program of Georgia Tech in Atlanta Clinical and Translational Science Institute, 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 and IPaT.
Prof. Wang’s research is in Biomedical Big Data analytics with a focus on Biomedical and Health Informatics (BHI) for Personalized and Predictive Health. Her research includes high throughput NGS and -omic data mining to identify clinical biomarkers, bionanoinformatics, pathological imaging informatics to assist clinical diagnosis, critical and chronic care health informatics for evidence-based decision making, and predictive systems modeling to improve health outcome. Prof. Wang published 190+ peer-reviewed articles in BHI. Dr. Wang is the corresponding/co-corresponding author for articles published in Journal of American Medical Informatics Association (JAMIA), Journal of Biomedical and Health Informatics (JBHI), IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Briefings in Bioinformatics, BMC Bioinformatics, Journal of Pathology Informatics, Proceedings of The IEEE, IEEE Transactions on Information Technology in Biomedicine (TITB), Proceedings of National Academy of Sciences (PNAS), Annual Review of Medicine, Nature Protocols, Circulation Genetics, Nanomedicine, BMC Medical Imaging, Annals of BME (ABME), and Trends in Biotechnology etc. She has led RNA-data analysis investigation within FDA-led Sequencing Consortium (SEQC) of MAQC-III.
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 IEEE EMBS Biomedical and Health Informatics Technical Committee Chair. She is an IEEE-EMBS 2014-2015 Distinguished Lecturer, and an EMBS Administrative Committee Officer representing North America. In addition, Dr. Wang has devoted to the training of young generation of data scientists and engineers, and is a recipient of Georgia-Tech’s Outstanding Faculty Mentor for Undergraduate Research.
Signichat conference mobile app is now available!
Signichat is also sponsoring a best presentation award. Authors can enter their presentation for consideration. Attendees can vote for best presentation.
The COMPSAC 2015 Survey has been posted to the Social Events page.
Hotel information has been posted to the Travel and Venue page.
The link for registration has been posted to the Registration page.
PC Meeting: March 13-14, 2015 - Shanghai, China
COMPSAC 2015 Deadlines
April 28, 2015: Updated: April 30 - Camera-ready copy and registration due
Workshop & Tutorial Deadlines
April 10, 2015 Extended: April 15, 2015: Updated: April 24 - Workshop paper notifications
April 24, 2015 Updated: April 30 Updated: May 8 - Camera-ready copy and registration due
Fast Abstracts, Posters Deadlines
April 24, 2015: Poster/paper notification
Updated: April 30 Updated: May 8 - Camera-ready copy & registration due
Student Research Symposium/Competition Deadlines
April 16th, 2015: Updated: April 26, 2015: Notifications
April 28, 2015: Updated: April 30 Updated: May 8 - Camera-ready submissions due