Keynote Speakers
Deborah Nightingale
Professor of the Practice of Aeronautics and Astronautics and Engineering Systems
Co-Director, Lean Advancement Initiative
Professor Deborah Nightingale has over 35 years of broad-based experience with academia, the private sector and the government. Professor Nightingale joined the MIT faculty in 1997 and holds a dual appointment in the Dept. of Aeronautics and Astronautics and the Engineering Systems Division. At MIT she serves as the Co-Director of the Lean Advancement Initiative, a joint industry, government, and MIT consortium. Her research interests are focused on lean enterprise integration, enterprise architecting, and organizational transformation. She has led several executive lean transformation engagements in both industry and government. Prior to joining MIT, Professor Nightingale headed up Strategic Planning and Global Business Development for AlliedSignal Engines. While at AlliedSignal she also held a number of executive leadership positions in operations, engineering, and program management, participating in enterprise-wide operations from concept development to customer support.
Professor Nightingale is a member of the National Academy of Engineering and a Past-President and Fellow of the Institute of Industrial Engineers. She is a co-author of the book “Lean Enterprise Value: Insights from MIT’s Lean Aerospace Initiative”. Prof. Nightingale serves on a number of boards and national committees, where she interacts extensively with industry, government and academic leaders.
Dr. Martin Curley
Director, IT Innovation
Intel Corporation
Martin Curley is Senior Principal Engineer and Global Director of IT Innovation and Research at Intel Corporation managing a network of IT Innovation Centres catalysing IT Innovation. Previously Martin held a number of IT Management positions for Intel including Director of IT Strategy and Technology based in Sacramento, California and Fab14 Automation Manager based in Dublin, Ireland. Martin has also held IT engineering and management positions at General Electric in Ireland and Philips in the Netherlands.
Martin has a degree in Electronic Engineering and a Masters in Business Studies from University College Dublin, Ireland. Martin is author of “Managing Information Technology for Business Value” published by Intel Press, 2004 and a co-author of the recent “Knowledge-Driven Entrepreneurship: The Key to Social and Economic Transformation (Innovation, Technology, and Knowledge Management”, published by Springer, 2009. Martin is an Adjunct Professor at the National University of Ireland, Maynooth and the National College of Ireland. He was a visiting scholar at MIT Sloan Centre for Information Systems Research for Summer 2005 and 2006. Martin is also a member of the Industry Advisory Board for the Centre for Research on Information Technology and Organizations (CRITO) at UC Irvine and the Industry Research Board for the MIT Centre for Information Systems Research (CISR).
Professor Duc Truong Pham
Duc Truong PHAM, OBE, FREng, FSME, BE, PhD, DEng (Canterbury, NZ), FIET, FIMechE, is Professor of Computer-Controlled Manufacture (appointed in October 1988) and Founder Director of the award-winning Manufacturing Engineering Centre at Cardiff University. He obtained his Bachelor of Engineering (Mechanical) degree with First-Class Honours, Doctor of Philosophy degree and Doctor of Engineering degree from the University of Canterbury in Christchurch. Between 1979-1988 he was a lecturer in Control Engineering at the University of Birmingham. His work at Birmingham focussed on robotics and automation.
At Cardiff, his research encompasses the wider areas of intelligent systems and advanced manufacturing engineering. His Intelligent Systems Laboratory and Manufacturing Engineering Centre have over 90 researchers and support personnel conducting externally funded projects on intelligent systems and advanced manufacturing technology. These cover knowledge-based systems for manufacturing design and quality control, robot vision and automated visual inspection systems, neural networks for non-linear systems identification and control, rapid prototyping and tooling, micro fabrication, virtual reality and multi-media intelligent product manuals.