|8:10||Introduction - John Lygeros|
A Framework for Distributed Convex Optimization -
Stephen P. Boyd|
Samsung Professor of Engineering, and Professor of Electrical Engineering, Information Systems Laboratory, Stanford University.
Chordal Structure and Polynomial Systems -
Pablo A. Parrilo|
Professor, Dept. of Electrical Engineering and Computer Science, MIT. Associate Director, Laboratory for Information and Decision Systems (LIDS).
New Developments in Generalized Disjunctive Programming and in
Optimization under Uncertainty - Ignacio E. Grossmann
Rudolph R. and Florence Dean University Professor, Carnegie Mellon University.
Nonlinear Programming Formulations for Robust NMPC -
Lorenz T. Biegler|
Bayer University Professor and Head, Chemical Engineering, Carnegie Mellon University.
Universal Laws and Architectures: Theory and Lessons from Brains, Nets,
Hearts, Bugs, Grids, Flows, and Zombies -
John C. Doyle|
Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering and BioEngineering, Caltech.
Forecasts, Uncertainty and Control in Autonomous Systems -
Brown Howard Professor, Mechanical Engineering UC Berkeley. Co-Director, Hyundai-UC Berkeley Center of Excellence on Active Safety.
Systems Engineering at the Nano-Scale: Towards Molecular Factories and Synthetic Cells
- George Stephanopoulos|
Arthur D. Little Professor of Chemical Engineering, MIT.
Neuroprosthetic Systems for Enhancement of Neuroplasticity Following
Stroke and Spinal Cord Injury -
Milos R. Popovic|
Professor, Associate Scientific Director & Toronto Rehab Chair in Spinal Cord Injury Research, Toronto Rehabilitation Institute, University of Toronto.
Distributed Optimality Tracking for Resource Constrained Predictive Control -
Assistant Professor, Automatic Control Laboratory, EPFL.
STL to MLD for MPC of FSA -
Richard M. Murray|
Thomas E. and Doris Everhart Professor of Control & Dynamical Systems and Bioengineering, Caltech.
Optimization with Privacy -
George J. Pappas|
Joseph Moore Professor, Chair of the Department of Electrical and Systems Engineering, University of Pennsylvania.
Reflections on the Convergence Paradigm -
Francis J. Doyle III|
John A. Paulson Dean, John A. & Elizabeth S. Armstrong Professor of Engineering & Applied Sciences, Harvard University.
Perspectives on the Future of Energy Systems -
Pramod P. Khargonekar|
Assistant Director, National Science Foundation (NSF); Head, Directorate of Engineering.
Architecture and Product Differentiation - John F. Cassidy, Jr.|
Former Senior Vice president, Science and Technology, United Technologies Corp., retired.
Impact and Potential of Industrial Control. A Personal Perspective -
President, Process Automation Division and Member of the Group Executive Committee, ABB Ltd.
Outlook on the European Telecom Industry -
Principal, McKinsey Switzerland.
Robustness by Necessity: Zero Downtime Demos, Competitions, and Live Performances -
Professor, Institute for Dynamic Systems and Control, ETH Zurich.
Professor, Automatic Control Laboratory, ETH Zurich.
Stephen P. Boyd
Stephen P. Boyd is the Samsung Professor of Engineering, and Professor of
Electrical Engineering in the Information Systems Laboratory at Stanford
University. He has courtesy appointments in the Department of Management
Science and Engineering and the Department of Computer Science, and is member
of the Institute for Computational and Mathematical Engineering. His current
research focus is on convex optimization applications in control, signal
processing, and circuit design.
Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined the faculty of Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, and CUHK-Shenzhen. He holds an honorary doctorate from Royal Institute of Technology (KTH), Stockholm.
Professor Boyd is the author of many research articles and three books: Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with L. El Ghaoui, E. Feron, and V. Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced several open source tools, including CVX (with Michael Grant), a widely used parser-solver for convex optimization.
Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award, given annually for the greatest contribution to the field of control engineering by someone under the age of 35. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, given every three years for excellence in computational mathematical programming. He is a Fellow of the IEEE and SIAM, a Distinguished Lecturer of the IEEE Control Systems Society, and a member of the National Academy of Engineering. He has been invited to deliver more than 75 plenary and keynote lectures at major conferences in control, optimization, and machine learning.
He currently teaches graduate courses on Linear Dynamical Systems and Convex Optimization, each attracting around 250 students from many departments. From 1988 through 2003 he also taught introductory undergraduate Electrical Engineering courses on Circuits, Signals and Systems, Digital Signal Processing, and Automatic Control, as well an advanced course on Nonlinear Feedback Systems. In 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering, and in 1991, an ASSU Graduate Teaching Award. In 2003, he received the AACC Ragazzini Education award, for contributions to control education, with citation: "For excellence in classroom teaching, textbook and monograph preparation, and undergraduate and graduate mentoring of students in the area of systems, control, and optimization."
His website, which makes available past papers, books, software, lecture notes, and selected lecture videos, is visited more than 1.6 million times per year, not counting accesses to iTunes U, YouTube, Stanford Engineering Everywhere, or MIT Open Course Ware, each of which include courses developed and delivered by Boyd.
Pablo A. Parrilo
Pablo A. Parrilo is a Professor of Electrical Engineering and Computer Science
at the Massachusetts Institute of Technology. He is currently Associate
Director of the Laboratory for Information and Decision Systems (LIDS), and is
also affiliated with the Operations Research Center (ORC). Past appointments
include Assistant Professor at the Automatic Control Laboratory of the Swiss
Federal Institute of Technology (ETH Zurich) and Visiting Associate Professor
at the California Institute of Technology. He received an Electronics
Engineering undergraduate degree from the University of Buenos Aires, and a PhD
in Control and Dynamical Systems from the California Institute of Technology.
His research interests include optimization methods for engineering applications, control and identification of uncertain complex systems, robustness analysis and synthesis, and the development and application of computational tools based on convex optimization and algorithmic algebra to practically relevant engineering problems.
Prof. Parrilo has received several distinctions, including a Finmeccanica Career Development Chair, the Donald P. Eckman Award of the American Automatic Control Council, the SIAM Activity Group on Control and Systems Theory (SIAG/CST) Prize, the IEEE Antonio Ruberti Young Researcher Prize, and the Farkas Prize of the INFORMS Optimization Society. He is an IEEE Fellow.
Ignacio E. Grossmann
Professor Grossmann is the Dean University Professor of Chemical Engineering at
Carnegie Mellon. He has been Department Head (1994-2002), and director of the
"Center for Advanced Process Decision-making" (2005-2015). A member of the
National Academy of Engineering, he has received the following AIChE awards,
Computing in Chemical Engineering, William H. Walker for Excellence in
Publications, Warren Lewis for Excellence in Education, and Research Excellence
in Sustainable Engineering. In 2015 he was the first recipient of the Sargent
Medal by the IChemE. He has honorary doctorates from Abo Akademi in Finland,
University of Maribor in Slovenia, Technical University of Dortmund in Germany,
and University of Cantabria in Spain. His research interests are in the areas
of mixed-integer, disjunctive and stochastic programming, energy systems
including petroleum, shale gas and biofuels, water networks, and planning and
scheduling for enterprise-wide optimization. He has over 400 publications and
has graduated over 50 Ph.D. students.
Lorenz T. Biegler
Lorenz T. (Larry) Biegler is currently the Head and Bayer University Professor
of Chemical Engineering at Carnegie Mellon University. His research interests
lie in computer aided process engineering (CAPE) and include flowsheet
optimization, optimization of systems of differential and algebraic equations,
reactor network synthesis and algorithms for constrained, nonlinear process
control. Contributions in these areas include analysis and development of
nonlinear programming algorithms, optimization software design and application
to real-world chemical processes and energy systems. He is an author on over
350 archival publications and 11 textbooks, has edited nine technical books and
given numerous invited presentations at national and international conferences.
His awards include the Lewis Award, Walker Award and Computers in Chemical
Engineering Award, all given by AIChE, Curtis McGraw Research Award and CACHE
Computing Award, given by ASEE, the INFORMS Computing Prize, and an honorary
doctorate in engineering sciences from the Technical University of Berlin. He
is a Fellow of AIChE and SIAM, and a member of the National Academy of
John C. Doyle
John Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems,
Electrical Engineer, and BioEngineering at Caltech (BS&MS EE, MIT (1977), PhD,
Math, UC Berkeley (1984)). Research is on mathematical foundations for complex
networks with applications in biology, technology, medicine, ecology, and
neuroscience. Paper prizes include IEEE Baker and Automatic Control
Transactions (twice), ACM Sigcomm, AACC American Control Conference. Individual
awards include IEEE Power Hickernell, AACC Eckman, UCB Friedman, IEEE
Centennial Outstanding Young Engineer, and IEEE Control Systems Field Award.
Best known for fabulous friends, colleagues, and students, plus world and
national records and championships in various sports. Extremely fragile.
Francesco Borrelli received the `Laurea' degree in computer science engineering
in 1998 from the University of Naples `Federico II', Italy. In 2002 he received
the PhD from the Automatic Control Laboratory at ETH-Zurich, Switzerland. He is
currently an Associate Professor at the Department of Mechanical Engineering of
the University of California at Berkeley, USA. He is the author of more than
one hundred publications in the field of predictive control. He is author of
the book Constrained Optimal Control of Linear and Hybrid Systems published by
Springer Verlag, the winner of the 2009 NSF CAREER Award and the winner of the
2012 IEEE Control System Technology Award. In 2016 he was elected IEEE fellow.
Since 2004 he has served as a consultant for major international corporations. He is the founder and CTO of BrightBox Technologies Inc, a company focused on cloud-computing optimization for autonomous systems. He is the co-director of the Hyundai Center of Excellence in Integrated Vehicle Safety Systems and Control at UC Berkeley. His research interests include constrained optimal control, model predictive control and its application to advanced automotive control and energy efficient building operation.
George was born in Kalamata, Greece, in 1947. He received his Diploma in
Chemical Engineering from National Technical University of Athens in 1970, and
his M.E. from McMaster University in 1971 (where he worked with Cam Crowe on
ptimal control). During the period 1971-1974 he worked with Art Westerberg at
the University of Florida on his PhD degree on Lagrangian approaches to
non-convex structured optimization problems.
After graduation from the University of Florida, he joined the University of Minnesota as Assistant Professor of Chemical Engineering and he promoted to Associate Professor (1977) and Full professor (1980). In September of 1980 he took on a chaired professorship at his Greek alma matta and taught there until January 1984, when he joined the faculty at MIT. Today he is the Arthur D. Little Professor of Chemical Engineering at MIT. During the period 1985-1999, he also directed the MIT-LISPE, the "Laboratory for Intelligent Systems in Process Engineering".
During the period 2000-02, he took a 2-year leave of absence from MIT, and was appointed Chief Technology Officer and Managing Executive Officer of Mitsubishi Chemical Corporation (MCC) in charge of the group's R&D activities and new business development efforts. After his return to MIT he continued as Managing Director, Member of the Board supervising the group's R&D activities and new business development efforts until 2005.
George's research and teaching interests have covered many aspects of Process Systems Engineering, such as: process synthesis; process optimization; process operations modeling, analysis, diagnosis, planning and control. Besides chemical processes, his systems engineering interests led him into a variety of other types of systems, addressing research issues related to the design, analysis, control, optimization of systems, like: networks of chemical or biochemical reactions; integrated manufacturing systems within the scope of a national economy or corporate business; city traffic networks and intercity transportation networks; systems approaches to the design and manufacturing of products; and process systems engineering for integrated molecular-nanoscale processes (his current focus and love).
George is a member of the NAE ('99), a Fellow of the American Academy of Arts and Sciences (2012), Foreign Member of Russian Academy of Technological Sciences ('91), and received an Honorary Doctor of Science degree from McMaster University ('02).
From AIChE he has received the following awards: Founders (2012), Walker ('03) and Colburn ('82), the Computing in Chemical Engineering Award, from AIChE's CAST Division, and presented the Institute Lecture in 2003. On the Centennial of AIChE he was selected in 2008 as one of the 100 Chemical Engineers of the Modern Era. In 2009 he received the Ragazzini Award, American Automatic Control Council (AACC). In 1986 he received from ASEE the C. McGraw Award for Research ('86) and in 1977 the 1977 Dreyfus Teacher and Scholar Award. Computers and Chemical Engineering have selected his papers twice for the Best Paper Award (1987, 1992). Finally, he has given 30 honorary or named lectureships at various universities around the world.
He has authored/co-authored 7 books and co-edited 8, and he has co-authored more than 220 papers.
Over the years he has mentored more than 70 PhD students and post-doctoral fellows, with 25 of them in academic positions around the world.
Milos R. Popovic
Milos R. Popovic received his Ph.D. degree in mechanical engineering from the
University of Toronto, Canada in 1996, and the Dipl. Electrical Engineer degree
from the University of Belgrade, Serbia in 1990. Dr. Popovic is the Associate
Scientific Director at the Toronto Rehabilitation Institute - University Health
Network and the Toronto Rehab Chair in Spinal Cord Injury Research. He is also
a Professor in the Institute of Biomaterials and Biomedical Engineering at the
University of Toronto, as well as Senior Scientist and the Neural Engineering
and Therapeutics Team Leader at the Toronto Rehabilitation Institute. In 2011,
Dr. Popovic established the Centre for Research in Advanced Neural Implant
Applications (CRANIA) at the University of Toronto and University Health
Dr. Popovic's fields of expertise are functional electrical stimulation, neuroprostheses, neuro-rehabilitation, brain machine interfaces, modeling and control of linear and non-linear dynamic systems, robotics, and signal processing. His interests are in the areas of neuro-rehabilitation, physiological control systems, assistive technology, and brain machine interfaces.
In 1997, together with Dr. Thierry Keller, he received the Swiss National Science Foundation Technology Transfer Award - 1st place. In 2008, Dr. Popovic was awarded the Engineering Medal for Research and Development from the Professional Engineers of Ontario and Ontario Society of Professional Engineers. In 2011, he was elected to the College of Fellows of the American Institute of Medical and Biological Engineering. In 2012, company MyndTec Inc., which Dr. Popovic co-founded in 2008, won the 1st Prize and the Best Intellectual Property Award at the annual TiEQuest Business Venture Competition. In 2013, he received the Morris (Mickey) Milner Award for outstanding contributions in the area of Assistive Technologies from the Health Technology Exchange. Also, in 2013, together with Drs. Prodic, Lehn, and Huerta-Olivares, and Mr. Tarulli, Dr. Popovic received the University of Toronto Inventor of the Year Award. In 2015, Dr. Popovic received the 2014 University Health Network's Inventor of the Year Award.
Dr. Popovic is the co-founder and co-chair of the Canadian National Spinal Cord Injury Conference established in 2004.
Colin Jones is an Assistant Professor in the Automatic Control Laboratory at
the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. He was a
Senior Researcher working with Manfred Morari at the Automatic Control Lab at
ETH Zurich until 2011 and obtained a PhD in 2005 from the University of
Cambridge for his work on polyhedral computational methods for constrained
control. Prior to that, he was at the University of British Columbia in Canada,
where he took a BASc and MASc in Electrical Engineering and Mathematics. Colin
has worked in a variety of industrial roles, ranging from commercial building
control to the development of custom optimization tools focusing on retail
human resource scheduling. He has authored more than a hundred scientific
papers in the area of predictive control, and his current research interests
are in the theory and computation of predictive control and optimization, and
their application to green energy generation, distribution and management.
Richard M. Murray
Richard M. Murray received the B.S. degree in Electrical Engineering from
California Institute of Technology in 1985 and the M.S. and Ph.D. degrees in
Electrical Engineering and Computer Sciences from the University of California,
Berkeley, in 1988 and 1991, respectively. Along with Manfred Morari, John
Doyle and Steve Wiggins, he helped start the Control and Dynamical Systems
(CDS) program at Caltech. He is currently the Thomas E. and Doris Everhart
Professor of Control & Dynamical Systems and Bioengineering at Caltech.
Murray's research is in the application of feedback and control to networked
systems, with applications in synthetic biology and aerospace systems.
George J. Pappas
George J. Pappas is the Joseph
Moore Professor and Chair of the Department of
Electrical and Systems Engineering
at the University of Pennsylvania. He also
holds a secondary appointment in the Departments of Computer and Information
Sciences, and Mechanical Engineering and Applied Mechanics. He is member of the
GRASP Lab and the
He has previously served as the Deputy Dean for Research in the
School of Engineering and Applied Science.
His research focuses on control theory and in particular, hybrid systems,
embedded systems, hierarchical and distributed control systems, with
applications to unmanned aerial vehicles, distributed robotics, green
buildings, and biomolecular networks. He is a Fellow of IEEE, and has received
various awards such as the
Antonio Ruberti Young Researcher Prize, the
George S. Axelby Award, the
O. Hugo Schuck Best Paper Award, the National Science Foundation
the George H. Heilmeier Faculty Excellence Award.
Francis J. Doyle III
Frank Doyle is the John A. Paulson Dean of the School of Engineering and
Applied Sciences at Harvard University, where he also is the John A. &
Elizabeth S. Armstrong Professor. Prior to that he was the Mellichamp Professor
at UC Santa Barbara, where he was the Chair of the Department of Chemical
Engineering, the Director of the UCSB/MIT/Caltech Institute for Collaborative
Biotechnologies, and the Associate Dean for Research in the College of
Engineering. He received a B.S.E. degree from Princeton, C.P.G.S. from
Cambridge, and Ph.D. from Caltech, all in Chemical Engineering. He has also
held faculty appointments at Purdue University and the University of Delaware,
and held visiting positions at DuPont, Weyerhaeuser, and Stuttgart University.
He has been recognized as a Fellow of multiple professional organizations
including: IEEE, IFAC, AIMBE, and the AAAS. He is the President for the IEEE
Control Systems Society, and is the Vice President of the International
Federation of Automatic Control. In 2005, he was awarded the Computing in
Chemical Engineering Award from the AIChE for his innovative work in systems
biology, and in 2015 received the Control Engineering Practice Award from the
American Automatic Control Council for his development of the artificial
pancreas. His research interests are in systems biology, network science,
modeling and analysis of circadian rhythms, and drug delivery for diabetes.
Pramod P. Khargonekar
Dr. Pramod P. Khargonekar was appointed by the National Science Foundation (NSF)
to serve as Assistant Director for the Directorate of Engineering (ENG) in
March 2013. In this position, Khargonekar leads the ENG Directorate with an
annual budget of more than $910 million. The ENG Directorate invests in
frontier engineering research and education, cultivates an innovation
ecosystem, and develops the next-generation of engineers. In addition, he
serves as a member of the NSF senior leadership and management team and
participates in setting priorities and policies. He is on assignment from the
University of Florida where he holds the Eckis Professorship in Electrical and
Khargonekar received B. Tech. Degree in electrical engineering from the Indian Institute of Technology, Bombay, India, in 1977, and M.S. degree in mathematics and Ph.D. degree in electrical engineering from the University of Florida in 1980 and 1981, respectively. He has held faculty positions at the University of Florida, University of Minnesota, and The University of Michigan. He was Chairman of the Department of Electrical Engineering and Computer Science from 1997 to 2001 and also held the position of Claude E. Shannon Professor of Engineering Science at The University of Michigan. From 2001 to 2009, he was Dean of the College of Engineering and is currently Eckis Professor of Electrical and Computer Engineering at the University of Florida. He also served briefly as Deputy Director of Technology at ARPA-E, U. S. Department of Energy in 2012-13.
Khargonekar's research and teaching interests are centered on theory and applications of systems and control. His early work was on mathematical control theory, specifically focusing on robust control analysis and design. During the 1990's, he was involved in a major multidisciplinary project on applications of control and estimation techniques to semiconductor manufacturing. His current research and teaching interests include systems and control theory, machine learning, and applications to smart electric grid and neural engineering. He has authored more than 140 refereed journal publications and 170 conference publications. He has supervised 35 doctoral students. He has been recognized as a Web of Science Highly Cited Researcher. He is a recipient of the NSF Presidential Young Investigator Award, the American Automatic Control Council's Donald Eckman Award, the Japan Society for Promotion of Science fellowships, the IEEE W. R. G. Baker Prize Award, the IEEE CSS George Axelby Best Paper Award, the Hugo Schuck ACC Best Paper Award, and the Distinguished Alumnus and Distinguished Service Awards from the Indian Institute of Technology, Bombay. He is a Fellow of IEEE and IFAC. At the University of Michigan, he received the Arthur F. Thurnau Professorship. In the past, he has served as Associate Editor for IEEE Transactions on Automatic Control, SIAM Journal of Control, Systems and Control Letters, and International J. of Robust and Nonlinear Control. He has been a member of the IEEE Control Systems Theory and Robust Control technical committee. He has also served as Chair and Member of the American Automatic Control Council's Donald Eckman Award Committee. He has served as Program Co-Chair of the American Control Conference. Recently, he was a member of the IEEE Smart Grid 2030 Vision committee.
Peter Terwiesch has been President of ABB's global $8bn Process Automation
division since January 2015. The 25'000 employees in this business serve a
broad range of process industries, including oil, gas, chemical, mining,
minerals, metals, pulp, paper, power generation, marine and ports with process
control, measurement and analytical products, complete automation and
electrification systems and services, as well as turbocharging solutions around
the world. Peter joined ABB in 1994 in Corporate Research, where he held local
and global responsibilities in R&D and management in Switzerland, Germany, and
for ABB Group. In 2001, he was promoted to Chief Technology Officer for the
Process Industries business and subsequently assumed this role also for the
larger and newly founded Automation Technologies division. In parallel with
these global technology responsibilities, he also served as local division
manager and company president for the Process Automation businesses in
Switzerland and Germany, respectively.
From 2005-2011, he served as the Chief Technology Officer of the ABB Group, overseeing ABB's $1.5 BUSD annual R&D investment and leading an increase of ABB's R&D footprint in Asia from 2% to 22% of total R&D workforce.
Prior to being appointed President of the Process Automation division, Peter was based in Mannheim, Germany where he led ABB's Central Europe Region and was also Country Manager for ABB in Germany from 2011 until 2014.
Peter's academic career began with electrical engineering studies at Karlsruhe Institute of Technology (KIT) in Germany, with focus on automatic control. This included a diploma thesis on model-predictive adaptive control at Ecole Nationale Superieure de Physique (ENSPS) in Strasbourg, France. For his interdisciplinary work on Dynamic Optimization of Batch Process Operations with Imperfect Modeling, with Manfred Morari as his main examiner, he received his doctoral degree at the Swiss Federal Institute of Technology (ETH) in Zurich. He later also served as a lecturer for Applied Nonlinear Control (1998-2001) at ETH in parallel to his work at ABB. Peter has been the author/co-author of numerous scientific publications and patents. He is a Senior Member of IEEE and, in 2014, was elected Fellow of IFAC, the International Federation of Automatic Control. He has served on a number of industry and academic boards, including German VDI/VDE GMA (measurement and automation, 2000-2007), IEEE Control System Awards Committee (2008-2010), Market Strategy Board of IEC (International Electrotechnical Commission, 2008-2011), jury of Wall Street Journal's innovation award (2005-2011), the Senate of Acatech (German academy of Engineering and Technological Sciences, 2011-2014), and BP plc's Technology Advisory Council (2006-2012).
In addition to his responsibility as division President, he is also a non-executive member of the Board of Metall Zug AG, Switzerland (since 2010).
Peter was born in 1966. He is a citizen of both Switzerland and Germany. In his free time, he enjoys outdoor sports and spending time with his wife and two children.
John F. Cassidy Jr. retired in 2005 from United Technologies Corp. as senior
vice president, Science and Technology, where he was responsible for UTC's
global research and engineering activities.
He joined UTC in January 1989 as corporate director of technology management. In January 1992, he became director of UTRC, and in July 1993 was named vice president of UTRC. He was named to the Chief Technology Officer position in November 1998.
Prior to joining UTC, John worked at General Electric Corporate Research and Development Laboratories from 1981 through 1989. His responsibilities included control systems research and development. He also served as a founding member of the board of directors of the General Electric-Fanuc joint venture in factory automation.
He began his career at General Motors Research Laboratories in 1969. He initiated the "Computer in the Car" project which led in 1981 to across the board GM production of microprocessor based engine controls.
A native of Troy, New York, he earned bachelor's, master's and doctoral degrees in electrical engineering from Rensselaer Polytechnic Institute.
He chairs the Advisory Council to the Georgia Tech Research Institute. He is a member of the board of directors of the Albany International Corporation. He is a senior member of the Institute for Electrical and Electronics Engineers and the Society of Automotive Engineers.
He and his wife, Paulina, are residents in Stonebridge on Lake Glenville, NC. They have 2 children and five grandchildren who reside in the Atlanta, GA area.
Pascal completed his PhD with Manfred Morari in 2004, after which we joined
McKinsey & Company, where is now is a Partner with Zurich office and head of
the Swiss Business Technology Office. Pascal holds a Master's degree in
Electrical Engineering and a Master of advanced studies in Management,
Technology and Economics from ETH Zurich. Professionally his primary focus has
been on the telecom and high tech industries, where he has focused on
operational transformations as well as growth strategies. In this context he
has served clients across the globe in over a dozen countries in and outside of
Raffaello D'Andrea received the B.Sc. degree in engineering science from the
University of Toronto in 1991, and the M.S. and Ph.D. degrees in electrical
engineering from the California Institute of Technology in 1992 and 1997. He
was an assistant, and then an associate, professor at Cornell University from
1997 to 2007, where he co-founded the university's systems engineering program
and founded the Cornell robot soccer team. While on leave from Cornell, from
2003 to 2007, he co-founded Kiva Systems, where he led the systems
architecture, robot design, robot navigation and coordination, and control
algorithms efforts. A creator of dynamic sculptures, he has exhibited his work
at various international venues, including the Venice Biennale, Ars
Electronica, the Smithsonian, and the Spoleto Festival; his work is in the
permanent collections of the National Gallery of Canada, the FRAC Centre in
France, and the Heinz Nixdorf Museum in Germany. He is currently professor of
dynamic systems and control at ETH Zurich and founder/chairman of Verity