Professor Er-Wei Bai
4316 Seamans Center for the Engineering Arts and Sciences
The University of Iowa
Iowa City, IA 52242-1527
Telephone: (319) 335-5949
Prof. George W Irwin, FREng, MRIA, FIEEE Queen's University
Tong Heng Lee, The National
Dr. Gordon J. Harris, Director of 3D Imaging Service and Radiology Computer Aided Diagnostics Laboratory, Massachusetts General Hospital
Prof. John V McCanny, UK
Prof. Er-Wei Bai, The University of Iowa, Iowa City, USA
Professor Tom Heskes, Radboud University Nijmegen, Netherland
Prof George W Irwin
Intelligent Systems and Control
Professor George Irwin leads the
Intelligent Systems and Control Research group and is Director of the
University Virtual Engineering Centre at Queen University Belfast. He has been
elected Fellow of the Royal Academy of Engineering and Member of the
Prof. Cheng Wu
Tsinghua University, China, Member of Chinese Academy of Engineering, Former National Chief Scientist on Automation Technology
Inventing and Developing an Automated Haematopoietic Stem Cells Harvesting Machine; and other Recent Advances in Intelligent Precision Modeling, Simulation & Control for Life Sciences Developments
T.H.Lee, B.A. (Hons I) Cambridge; M.Engrg NUS; Ph.D. Yale
Professor & Cluster Head (Control Systems)
Professor in the Graduate School, NUS NGS
Dept of ECE, NUS
Dy Editor-in-Chief, IFAC Mechatronics Int Jnl
The human placenta and umbilical cord blood (UCB) provide a rich source of highly-proliferative haematopoietic stem cells (HSCs) for many clinical uses with advantages over traditional sources like the bone marrow and periphery blood. However, the current constraint with this source of HSCs is the inadequate number of HSCs cells which can be harvested in a single collection using current approaches which render a large number of collections unusable on their own, even for paediatric patients. The large reservoir of useful HSCs within the placenta has to be discarded upon the delivery of the placenta out of the maternal body. A novel design, involving mechanical, electronics and control components, seeks to create an artificial uterus force to harvest the HSCs. This paper will present the development of this automated device to enable more effective harvesting of HSCs from placentas, upon the discharge of placentas after deliveries. Comprehensive results, in terms of mononucleated cells (MNCs) count and CD34+ cells count, will be furnished to verify the effectiveness of the developed system, over the other current approaches. (Note: This invention was a winner of the IEEE ICMA 2009 Best Paper in Automation Award. It is patented in U.S.A., Europe, Japan and Singapore. A company, Dynamed Hi-Tech Medical Instruments, has licensed it and will market it in 2010.)
Additionally, the paper will also present recent advances in Intelligent Precision Modeling, Simulation & Control for Life Sciences developments; including recent research and development work in developing portable precision Tissue Micro-Arrayers for Tissue Repositories.
Prof. Tong Heng Lee
T. H. Lee received the B.A. degree with First Class Honours in the Engineering Tripos from Cambridge University, England, in 1980; and the Ph.D. degree from Yale University in 1987. He is a Professor in the Department of Electrical and Computer Engineering at the National University of Singapore (NUS); and also a Professor in the NUS Graduate School, NUS NGS. He was a Past Vice-President (Research) of NUS.
Dr. Lee's research interests are in the areas of adaptive systems, knowledge-based control, intelligent mechatronics and computational intelligence. He currently holds Associate Editor appointments in the IEEE Transactions in Systems, Man and Cybernetics; IEEE Transactions in Industrial Electronics; Control Engineering Practice (an IFAC journal); and the International Journal of Systems Science (Taylor and Francis, London). In addition, he is the Deputy Editor-in-Chief of IFAC Mechatronics journal.
Dr. Lee was a recipient of the Cambridge University Charles Baker Prize in Engineering; the 2004 ASCC (Melbourne) Best Industrial Control Application Paper Prize; the 2009 IEEE ICMA Best Paper in Automation Prize; and the 2009 ASCC Best Application Paper Prize. He has also co-authored five research monographs (books), and holds four patents (two of which are in the technology area of adaptive systems, and the other two are in the area of intelligent mechatronics). He has published more than 300 international journal papers.
Dr. Lee was an Invited Panelist at the World Automation Congress, WAC2000 Maui U.S.A.; an Invited Keynote Speaker for IEEE International Symposium on Intelligent Control, IEEE ISIC 2003 Houston U.S.A.; an Invited Keynote Speaker for LSMS 2007, Shanghai China; an Invited Expert Panelist for IEEE AIM2009; and an Invited Plenary Speaker for IASTED RTA 2009.
The 3D Imaging Service at Massachusetts General Hospital: 11 Years Experience
Dr. Gordon J. Harris
In 1999, we set out to create a radiology three-dimensional (3D) imaging service
at Massachusetts General Hospital (MGH). Our goal was two-fold: first, to
integrate 3D image post-processing capabilities, computer-aided diagnosis (CAD),
and quantitative analysis into the routine clinical workflow; and to create an
infrastructure generally more conducive to the transfer of new image-processing
technologies from the research realm into clinical use. Initially, we found that
although our institution possessed several 3D imaging workstations, they were
used only occasionally for research purposes and, when a clinical request for 3D
post-processing was made, the staff lacked the expertise and experience to
fulfill those requests.
Dr. Gordon J. Harris
COUPLING RESEARCH AND INNOVATION - NEW MODELS FOR SUCCESSFUL ECONOMIC IMPACT
Professor John V McCanny
Competitiveness in a global economy is highly dependent on our ability to create new knowledge that in turn drives new innovations and new market opportunities. A key aspect of this is a nation's ability to captilalise on and create new products and services from its research base and the role that business focused Research Centres, can play a key role in enabling effective Knowledge Transfer, between the academia and industry. This plenary presentation will give an overview of how these challenges are being addressed at Queen's University's Institute of Electronics Communications and Information Technology - ECIT.
ECIT, which opened in 2004 as a result of a $70M investment, is the research flagship for the Northern Ireland Science Park and brings together specialists in complementary fields of Electronics and Computer Science. It has a unique environment that couples internationally leading research with very strong industrial engagement locally, nationally and internationally. Its major themes are (a) Digital and Wireless Communications Technology and (b) Secure Information Technology, following a recent $50M investment funded by the UK's national Engineering and Physical Sciences Research Council (EPSRC) and by the UK's national Technology Strategy Board (TSB)
This talk will present an overview of ECIT's activities including new "Open Innovation" models that juxtapose speculative academic research with engineering staff that have many years industrial experience. An overview will also be given of ECIT's wider role in helping to create new high technology industry on the Northern Ireland Science Park and its transfer to technology to national and international industry. This includes and environment that provides access to national and international entrepreneurs, business angels, Venture Capitalists s and Intellectual Property Lawyers as well as to leading researchers nationally and internationally.
Professor John V McCanny
CBE FRS FREng IEEE Fellow FIAE MRIA FIET FInstP FIEI
Professor John McCanny is an international authority on special purpose silicon architectures for Signal and Video Processing. He is a Fellow of the Royal Society (of London), the UK Royal Academy of Engineering, the Irish Academy of Engineering, the IEEE and Engineers Ireland. He is also a Member of the Royal Irish Academy.
He is recipient of numerous honours/awards including a UK Royal Academy of Engineering Silver Medal (1996), an IEEE Millennium Medal, the Royal Dublin Society/Irish Times Boyle medal (2004) and the IET's Faraday medal (2006). He has co-founded two successful high technology companies, Amphion Semiconductor Ltd. (later acquired by Conexant, then NXP) and Audio Processing Technology Ltd. In 2002 he was awarded a CBE (Commander of the Order of the British Empire) for his "Contributions to Engineering and Higher Education".
He has published 5 research books, 350 peer reviewed research papers and holds over 20 patents. He is currently Director of the Institute of Electronics, Communications and Information Technology (ECIT) at Queen's University Belfast and also Head of the School of Electronics, Electrical Engineering and Computer Science.
He has served on numerous Royal Society committees and chaired of Sectional Committee 4 (Engineering) during 2005 and 2006. He is currently is a Member of the Council of the Royal Academy of Engineering and also serves on its International Committee. He has been a board member for Ireland's Tyndall National ICT research centre since its was established in 2004, is currently a member of EPSRC's ICT Strategic Advisory Team and on the advisory board of the German Excellence Centre on "Ultra High-Speed Mobile Information and Communication" (UMIC) based at the University of Aachen.
He was heavily involved in developing the vision that led to the creation of the Northern Ireland Science Park and the creation of its ECIT research flagship. He also led the initiative that created the £30M Centre for Secure Information Technology (CSIT) which is based at ECIT.
He holds a Bachelors degree in Physics from the University of Manchester, a PhD in Physics from the University of Ulster and was awarded a DSc (higher doctorate) in 1998 in Electrical and Electronics Engineering from Queen's University Belfast.
Adaptive Bolus Chasing Computed Tomography Angiography
The University of Iowa, Iowa City
This talk focuses on how control, identification and signal processing techniques are used to solve an bio-medical engineering problem. The problem considered is to improve imaging quality and to reduce contrast dose and radiation exposure of a modern CT scanner. To combat mismatch of the bolus peak density and the imaging aperture in a modern CT, an optimal adaptive bolus chasing controller is proposed and experimentally tested. The controller estimates and predicts the unknown two dimensional bolus density on line and then determines the optimal control actions. Tracking errors are mathematically quantified in terms of estimation errors. The test results not only support the analytical analysis and exhibit its superior performance over the current constant velocity controller, but also demonstrate the clinical feasibility.
Professor Er-Wei Bai
Er-Wei Bai received his PhD degree from the University of California at Berkeley and is Professor of Electrical and Computer Engineering at University of Iowa. Professor Bai is a Fellow of IEEE, and a leading expert on system identification and parameter estimation. Prof Bai has written over 140 journal papers as well as a number of conference papers and book chapters on identification, adaptive systems, signal processing and their applications to medicine and engineering. He has served as an associate editor or editorial board member for a number of journals including IEEE Trans on Automatic Control and Automatica and as a panel member for US National Science Foundation (NSF) and the US National Institute of Health. Prof Bai currently serves on the IFAC technical committee on Modelling, Identification and Signal processing, and IEEE CSS technical committee on System Identification and Adaptive Control. He is a recipient of the President's Award for Teaching Excellence and the (State of Iowa Board of ) Regents Award for Faculty Excellence.
Bayesian machine learning for brains, genes, and hearing aids
Professor Tom Heskes
Radboud University Nijmegen, Netherland
Professor Tom Heskes
Head of Machine
Learning Group, Intelligent Systems
Dr Tom Heskes is a Professor in Artificial Intelligence, and he leads the Machine Learning Group, at the Institute for Computing and Information Sciences, Radboud University Nijmegen, the Netherlands. He is further affiliated Principal Investigator at the Donders Centre for Neuroscience.
Prof Heskes' research is on artificial intelligence, in particular (Bayesian) machine learning. He works on Bayesian inference (approximate inference, hierarchical modeling, dynamic Bayesian networks, preference elicitation); machine learning (multi-task learning, bias-variance decompositions); and neural networks (on-line learning, self-organizing maps, time-series prediction). In a nutshell, he and the members of his group use probability calculus and statistics to design and understand "intelligent" systems that can learn from data. He is also involved in several projects that concern applications in, among others, brain-computer interfaces, adaptive personalization of hearing aids, and bioinformatics. Prof Heskes has published over 100 research papers and books in the above area.
Prof Heskes is the Editor-in-Chief of Neurocomputing. He has served in various prestigious committees of over 40 international conferences since 2004 onwards.
Nonlinear Control and Its Applications
Shuzhi Sam Ge
Many complex systems are usually difficult to model and governed by general (non-affine) nonlinear systems. The well developed control schemes for affine nonlinear systems find of little use. By elegantly utilizing the Mean value and implicit function theorems, the existence of ideal stabilizing control laws are first established for non-affine nonlinear systems. Then, by combining the adaptive control and neural network parametrizition techniques, stable adaptive neural network control is presented rigorously, which demonstrate that intelligent control can do what traditional adaptive control could not, and intelligent control provides the fundamentals for further development of advanced adaptive control for complex industrial systems. Because of the inherent differences of operators, adaptive controls are presented for nonlinear systems in both continuous time and discrete-time.
Finally, a new control design is presented for a class of nonlinear systems in strict feedback form with output constraint, though our newly introduced - Barrier Lyapunov Function - which grows to infinity when its arguments approaches certain limiting values. The key principle is that, by ensuring boundedness of the Barrier Lyapunov Function in the closed loop, we also ensure that the barriers are not transgressed. Asymptotic tracking is achieved without violation of constraint, and all closed loop signals remain bounded, under a mild condition on the initial output.
Professor Shuzhi Sam Ge
EEE Fellow, PhD,
DIC, BSc, PEng
Shuzhi Sam Ge, IEEE Fellow, IET Fellow, is the founding director of Institute of
Intelligent Systems and Information Technology, University of Electronic Science
and Technology of China, and the founding Director of Social Robotics Lab of
Interactive Digital Media Institute, and Professor of the Department of
Electrical and Computer Engineering, the National University of Singapore.