Keynote Speakers

The following keynotes speakers are planned during ISSRE 2015:

Risk and Reliability Are Part of Our Life

by Way Kuo
Tuesday, November 3 - Green Auditorium
Way Kuo
City University of Hong Kong
Hong Kong

Abstract

We live in a highly technological world, surrounded by the Internet, biological technologies, high-speed trains and sophisticated aircraft, new energy sources, new social movement, wide wealth gap between the rich and poor groups and countries, political and religious differences, and so on. As such we have to face many new challenges which may either improve or threaten our living environment. All these ever-increasing challenges add new risks, and are in the scope of reliability for sustainability. Let us take a look at the various risks and hazards, physical or virtual, that exist in our life worldwide.

Presenter's biography

Way Kuo is President of City University of Hong Kong. He is a member of US National Academy of Engineering, a Member of Academia Sinica, Taiwan, and a Foreign Member of the Chinese Academy of Engineering and Russian Academy of Engineering. He is renowned for his work in system reliability research and is acknowledged as a pioneer in designing and modeling reliability of electronics systems.

Professor Kuo has previously worked in the senior management team for Oak Ridge National Laboratory and served as Dean of Engineering at the University of Tennessee. His popular science book Critical Reflections on Nuclear and Renewable Energy, Scrivener-Wiley 2014, has created an impact since its publication in 2013. The book has been translated into English, Japanese, French and Russian. It has also been published in Hong Kong, Taiwan, and Beijing in both traditional and simplified Chinese under different titles.


 

Next Frontiers for Agricultural Data Management & Computing

by Simon Liu
Wednesday, November 4 - Green Auditorium

Simon Liu
Agricultural Research Service
U.S.

Abstract

Modern agricultural research is becoming data and computation intensive. Data intensive refers to volume, velocity, heterogeneity, and complexity of agricultural data as well as the complex relationships among combinations of research objectives, models, users, and systems that deal with these data. Increasingly, agricultural research discovery will be powered by advanced computing capabilities that help researchers explore, manipulate, analyze, visualize, and synthesize big datasets.
Computation is a critical element of modern agricultural research. Agricultural research scientists use algorithms to design computational experiments, simulate real-world operations, analyze real world problems, identify underlying models, and suggest practical solutions. The speed at which agricultural research advances will depend on how well researchers collaborate with one another and with technologists in areas such as cloud computing, workflow management, databases, modeling, analytics, and others. As a result, computation changes the role of information technology & management professionals from service providers to collaborators whose input is critical to the success of the research. Through their understanding of technology and best practices, information technology & management professionals contribute substantive knowledge to the advancement of research methodology and modern agricultural science.
This presentation discusses a new paradigm of agricultural scientific discovery based on data and computation intensive research and offers insights into how it can be realized through a few real-world research projects.

Presenter's biography

Dr. Simon Y. Liu is Associate Administrator of the Agricultural Research Service. Prior to his current position, he was Director of the National Agricultural Library, Chief Information Officer at the National Library of Medicine, Acting Director of Information Management and Security at the Department of Justice, Chief Information System Architect at the Treasury Department, and program manager at a consulting firm for the National Aeronautics and Space Administration. Dr. Liu holds two doctorate degrees in Computer Science and Higher Education Administration from George Washington University, a Master of Arts degree in Government from Johns Hopkins University, a Master of Business Administration degree from the University of Maryland, a Master of Science degree in Computer Science from Indiana University, and a Bachelor of Science degree in Mathematics from Chun-Yuan University. Dr. Liu has served as the Editor-in-Chief of an information technology magazine and an editor of two international journals. Dr. Liu has published a book and more than 80 book chapters, journal articles, and conference papers. Dr. Liu has served as an adjunct faculty of Johns Hopkins University, George Washington University, and University of Maryland in the past 20 years.

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Systems Software for The Machine

by Dejan Milojicic
Thursday, November 5 - Green Auditorium

Dejan Milojicic
HP Labs
U.S.

Abstract

Most recent hardware advancement towards Non-Volatile Memory (NVM), photonic Interconnects, and heterogeneous multicore are dramatically changing the hardware architecture of modern computers. However, impacts on the systems software are even more profound. Last time a radical change in computer architecture was introduced with the DRAM, the operating systems and systems software also underwent substantial changes, such as virtual memory. These changes also introduce new types of failures and fault management.

In HP Labs, we are pursuing a novel computer, called The Machine. The Machine addresses the aforementioned advancement in hardware technology, but it also introduces operating systems support and new applications. In this talk, I will describe how we support NVM at different levels of software stack, such as managing NVM, programming NVM, and file systems. I will then present the impact on the next generation applications and how the new failure models are addressed.

Presenter's biography

Dejan is a senior researcher and manager at HP Labs, Palo Alto, CA [1998-]. His areas of expertise include operating systems, distributed systems, and systems management. He worked in the OSF Research Institute, Cambridge, MA [1994-1998] and Institute “Mihajlo Pupin”, Belgrade, Serbia [1983-1991]. He received his PhD from University of Kaiserslautern, Germany (1993); and MSc/BSc from Belgrade University, Serbia (1983/86). Dejan has published over 150 papers and 2 books; he has 16 patents and 32 patent applications. Dejan is an IEEE Fellow, ACM Distinguished Engineer, and USENIX member. He was the IEEE Computer Society 2014 President. He is a founding Editor-in-Chief of IEEE ComputingNow. Dejan is a candidate for the IEEE Division VIII Director 2016-2018.

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