Keynote Speakers       


Keynote Speakers:

  • Raj Reddy, Carnegie Mellon University, USA

  • James Tien, University of Miami, USA

  • Po-Lung Yu, University of Kansas, USA/ National Chiao-Tung University (NCTU), Taiwan

  • Heeseok Lee, Graduate School of Information and Media Management/ College of Business/ Korea Advanced Institute of Science and Technology, Korea

Computational Limits to Human Thinking in a Society With Too Much Information And Too Little Time

Raj Reddy
Professor of Computer Science and Robotics in the School of Computer Science at Carnegie Mellon University


In the increasingly digital world of the 21st century, Management Decision Making requires the ability to get timely information about all the developments that might impact personal and management objectives. A grand challenge for Computer Science is that society should aspire to get the right information to the right people at the right time in the right language in the right medium with the right level of detail. The designers of such systems have to keep in mind computational limits to human thinking. Humans make errors, tend to forget, are impatient and look for least effort solutions, sometimes leading to catastrophic results. At the same time, humans learn with experience, tolerate error and ambiguity, use vast amounts knowledge, and communicate using speech and language. Such features are still lacking in most of our systems. Most systems don¡¯t get better with experience. We cannot even send routine voice emails and video emails.
Most importantly, we are severely lacking in tools for coping with 21st century world of ¡°too much information and too little time¡±. In this talk we will present two families of intelligent agents, viz., ¡°cognition amplifiers¡± and ¡°guardian angels¡± to help with problem of scarcity of attention. A Cognition Amplifier is a personal intelligent agent that anticipates what you want to do and helps you to do it with less effort. A Guardian Angel is a personal intelligent agent that discovers and warns you about unanticipated, possibly catastrophic, events that could impact your safety, security, and wellbeing. Both Cogs and Gats are enduring, autonomic, nonintrusive intelligent agents which are always-on, always working, and always-learning. In this talk, we will review the current state of the art and possible options for coping with human limitations.

Author’s  short biographical note:

Raj Reddy is the Moza Bint Nasser University Professor of Computer Science and Robotics in the School of Computer Science at Carnegie Mellon University. He is one of the early pioneers of Artificial Intelligence, has served on the faculty of Stanford and Carnegie Mellon University for over 40 years and was the Founding Director of the Robotics Institute at CMU.
Dr. Reddy received the ACM Turing Award in 1994 for his contributions to Artificial Intelligence. He was awarded the Legion of Honor by President Mitterrand of France in 1984 and Padma Bhushan by President of India in 2001. He was awarded the Okawa Prize in 2004, the Honda Prize in 2005, and the Vannevar Bush Award in 2006.
He served as co-chair of the President's Information Technology Advisory Committee (PITAC) from 1999 to 2001. He has been awarded eleven honorary doctorates (Doctor Honoris Causa) including Universities of Henri-Poincare, New South Wales, Massachusetts, Warwick, and HKUST.


Exploring Big Data in Enterprise Systems

James M. Tien, PhD, DEng (h.c.), NAE
Distinguished Professor and Dean, College of Engineering, University of Miami, Coral Gables, Florida


In 2015, it is projected that almost 6 zettabytes (or 10**21 bits) of digital data will be generated by everything from underground physics experiments to retail transactions to global positioning systems to the Internet of Things. In the U. S., programs are being funded by both enterprises and the government to deal with Big Data in all five sectors (i.e., services, manufacturing, construction, agriculture and mining) of the economy. While the focus of this presentation is on Big Data, it should be emphasized that data ¨C especially big data ¨C is worthless for decision making unless it is analyzed or processed to yield critical information which can then be employed to make informed decisions. Big Data is poised to add greater value to businesses and a range of enterprises to help them understand their customer base, identify potential areas of growth, and execute their strategies. It should be noted that Big Data is not a panacea for all enterprise problems; nevertheless, it can support informed ¨C yet, not necessarily defensible or knowledgeable ¨C decisions or choices. More specifically, it can somewhat overcome data quality issues with data quantity, data access restrictions with on-demand cloud computing, causative analysis with correlative data analytics, and model-driven with evidence-driven applications.

Author’s  short biographical note:

In 2007, Dr. James M. Tien became a Distinguished Professor and the Dean of the College of Engineering at the University of Miami, Coral Gables, Florida. He received the BEE from Rensselaer Polytechnic Institute (RPI) and the SM, EE and PhD from the Massachusetts Institute of Technology (MIT). He has held leadership positions at Bell Telephone Laboratories, at the Rand Corporation, and at Structured Decisions Corporation (which he co-founded). He joined the Department of Electrical, Computer and Systems Engineering at RPI in 1977, became Acting Chair of the department, joined a unique interdisciplinary Department of Decision Sciences and Engineering Systems as its founding Chair, and twice served as the Acting Dean of Engineering. Dr. Tien has published extensively, been invited to present dozens of plenary lectures, and been honored with both teaching and research awards, including being elected a Fellow in IEEE, INFORMS and AAAS and being a recipient of the IEEE Joseph G. Wohl Outstanding Career Award, the IEEE Major Educational Innovation Award, the IEEE Norbert Wiener Award, the IEEE Richard M. Emberson Award, and the IBM Faculty Award. He received a Doctor of Engineering (honoris causa) from Canada¡¯s University of Waterloo and is also an Honorary Professor at over a dozen non-U.S. universities. Dr. Tien is an elected member of the prestigious U. S. National Academy of Engineering.


Decision Making in Changeable Spaces

Po-Lung Yu
Distinguished Professor (Emeritus) of University of Kansas (KU), Kansas
Distinguished Professor for Life of National Chiao-Tung University (NCTU)


Human makes decisions under some situation settings. There are many parameters involving in decision processes, especially the challenging ones, including those of psychology and its dynamics, and other decision parameters such as criteria, alternatives, outcomes, preference, information inputs, rules of games, players, ¡­etc. The parameters can be explicit, implicit or hidden. Most likely they are changeable in their dimensions and shapes. We provide a new decision making paradigm in changeable spaces (DMCS). The unique feature of DMCS is that it actively incorporates, search and constructively restructures those parameters, tangible and intangible, in the process of decision making as to achieve an ultimate goal. Using concepts of competence set analysis, Habitual Domain (HD) and mental operators 7-8-9 principles of deep knowledge of HD. DMCS can be modeled and solved effectively. In the process to achieve an ultimate goal, we on one hand need to find what competence, including resources, know how, skills, effort¡­etc. are needed to solve the problem( a discovering process). On the other hand we need to effectively acquire those needed competence ( a covering process). The 7-8-9 principles of deep knowledge can help us to systematically expand and enrich our competence set and habitual domains as to reduce decision blinds and avoid decision traps in the discovering and covering processes and solve the challenging problems more effectively. New concepts of covering and discovering processes are proposed and formulated as mathematical tools to solve DMCS problems. Some illustrative real life challenging problems that cannot be solved by traditional optimization techniques are formulated as DMCS problems and solved mathematically. Vast applications of OCS will be shown. Some directions of research related to innovation dynamics, management, artificial intelligence, artificial and e-economics, scientific discovery and knowledge extraction will also be provided.

Author’s  short biographical note:

Po-Lung Yu is the Distinguished Professor (Emeritus) of University of Kansas (KU), Kansas, and Distinguished Professor for Life of National Chiao-Tung University (NCTU), Taiwan, was raised in Taiwan, further educated and trained in USA. He earned BA¡ªInternational Trade (1963) from National Taiwan University, and Ph.D.¡ªOperations Research and Industrial Engineering (1969) from the Johns Hopkins University.
From 1977 to 2004, Dr. Yu held an endowed Chair as the Carl A. Scupin Distinguished Professor of the University of Kansas. He taught at NCTU from 1999 to 2011. Previously he taught at the University of Rochester (1969-73) and the University of Texas at Austin (1973-77). He won awards for outstanding research and for teaching.
Dr. Yu, the initiator of habitual domains theory, competence set analysis and second order games, has published, in English and Chinese, 19 books and over 190 professional articles over multiple criteria decision making, mathematical programming, differential games and optimal control theory, and various application problems including investment models, efficient market, marketing, automobile safety and energy policy, corporate acquisition and merger analysis, aside from what he initiated. He is recognized as a remarkable thinker, scholar, teacher and advisor. He has given many keynote addresses around the world, academically and publicly. His audiences of habitual domains and related topics sometimes exceeded thousands of people.


IT and Emerging Internet of Things: Potential and Opportunities

Heeseok Lee
Professor of IT Strategy and Dean
Graduate School of Information and Media Management
College of Business
Korea Advanced Institute of Science and Technology


Information Technology (IT) is not only the story of technology, but the potential of revolutionary and disruptive change. IT and other digital advances like Internet of Things (IoT) enable us to overcome the limitation of mental power. This has ushered in humanity's new age as the Industrial Revolution led to today's modern society. Who can imagine Google's self driving car now drives nearly more than one million miles autonomously? Isn't it so weird to find a global IT company, not a traditional auto manufacturer like GM, leads the race for the future of driving? This dramatic phenomenon is easy to understand if we are aware that the core technology of autonomous car is IT coupled with big data and IoT. The business potential from emerging IT is unlimited. Global IT companies are sharpening their competencies to win in this "Winner takes it all" business environment. This talk will illustrate how IT has evolved, revolutionizing the business models up to the current sharing economy. It will highlight its potential and implications for academia and practice.

Author’s  short biographical note:

Heeseok Lee is the Dean of the Graduate School of Information and Media Management at KAIST (Korea Advanced Institute of Science and Technology), Seoul, Korea. Dr Lee has been the Director of Knowledge Management Research Center at KAIST and leads IT and Knowledge Management research. He has also served as the Chair of Executive Program for more than ten years at KAIST. He is a frequently invited speaker for a talk about strategic implication of IT for leading companies and communities. He earned BA in Industrial Engineering from Seoul National University, MS in Industrial Engineering from KAIST, and Ph.D. in Business Administration from the University of Arizona. Before joining KAIST, he taught at the University of Nebraska at Omaha. Dr Lee has published extensively in the areas of IT Strategy and Knowledge Management. He won numerous awards for outstanding research, teaching and service. He won the National Honorary Award in his efforts for enhancing e-government. His recent research on IT impact on team innovation at knowledge-intensive firms was awarded the Best Research at HICSS 2014.


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