Plenary Speakers

Prof. George W Irwin, FREng, MRIA, FIEEE Queen's University Belfast, UK

http://www.qub.ac.uk/research-centres/ISAC/

Prof. Cheng Wu, Tsinghua University, China, Member of Chinese Academy of Engineering, Former National Chief Scientist on Automation Technology

http://www.tsinghua.edu.cn/eng/board9/detail.jsp?seq=1107&boardid=3302

Prof. Tong Heng Lee, The National University of Singapore, Singapore

http://www.eng.nus.edu.sg/deanleeth/

Prof. Guoping Zhao, Institute of Plant Physiology and Ecology (IPPE), Shanghai Institutes for Biological Sciences (SIBS), China, Member of Chinese Academy of Sciences (CAS)

http://www.hlhl.org.cn/english/showsub.asp?id=723

Prof. Mitsuo Umezu, Waseda University, Japan

http://www.umezu.mech.waseda.ac.jp

Prof. John V McCanny, Queen's University Belfast, UK

http://www.ee.qub.ac.uk/dsp/research/soc/people/johnmccanny.htm

Prof. Er-Wei Bai, The University of Iowa, Iowa City, USA

http://www.engineering.uiowa.edu/faculty-staff/profile-directory/ece/bai_e.php

Prof. Tom Heskes, Radbound University Nijmegen, Netherland

http://www.cs.ru.nl/~tomh/


Keynote Speech

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Prof George W Irwin

Intelligent Systems and Control

School of Electronics, Electrical Engineering and Computer Science

Queen's University Belfast UK

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 Royal Irish Academy and is a Chartered Engineer, an IEEE Fellow, a Fellow of the IEE and a Fellow of the Institute of Measurement and Control. Prof Irwin's research covers identification, monitoring, and control, including neural networks, fuzzy neural systems and multivariate statistics and has published over 350 research papers and 12 edited books. He is currently working on wireless networked control systems, fault diagnosis of internal combustion engines and novel techniques for fast temperature measurement and was Technical Director of Anex6 Ltd, a spin out company from his group specialising in process monitoring. He has been awarded a number of prizes including four IEE Premiums, a Best Paper award from the Czech Academy of Sciences and the 2002 Honeywell International Medal from the Institute of Measurement and Control. International recognitions include Honorary Professor at Harbin Institute of Technology and Shandong University, and Visiting Professor at Shanghai University. George Irwin is a former Editor-in-Chief of the IFAC Journal Control Engineering Practice and past chair of the UK Automatic Control Council. He currently chairs the IFAC Publications Committee and serves on the editorial boards of several journals.

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Prof. Cheng Wu

Tsinghua University, China, Member of Chinese Academy of Engineering, Former National Chief Scientist on Automation Technology

Academic Posts

Professor, Department of Automation, Tsinghua University
Member, Chinese Academy of Engineering
Director, China National Engineering Research Center for Contemporary Integrated Manufacturing Systems
Member, Advisory Board of IEEE Transactions on Automation Science and Engineering
Member, Editorial Board of International Journal of Robotics and Computer Integrated Manufacturing
Member, Editorial Board of International Journal of Industrial and Management Optimization

Research Interests

System Integration
Modeling, Planning, Scheduling and Optimization of Complex Industrial Systems

Professional Experiences

1967- Teaching Assistant, Lecturer, Associate Professor, Professor, Tsinghua University, Beijing

Education

1962, Bachelor, Department of Electrical Engineering, Tsinghua University
1966, Master, Department of Electrical Engineering, Tsinghua University

Awards & Honors

1991, 1996, 2001, First Prize of 863 National Scheme
1999, Second Prize of Science & Technology Progress Award, Ministry of Education
1997, Award of National Outstanding Teacher
1994, Science & Technology Progress Prize, Ho Leung Ho Lee Foundation
1994, ''University LEAD Award'' for CIM excellence by the SME (Society of Manufacturing Engineering) of USA for his achievements on CIMS research and applications

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Prof. Tong Heng Lee

The National University of Singapore, Singapore

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.

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

E-mail: ELELEETH@nus.edu.sg

Abstract

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.

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Prof. Guoping Zhao

Institute of Plant Physiology and Ecology (IPPE), Shanghai Institutes for Biological Sciences (SIBS), China.

Member of Chinese Academy of Sciences (CAS)

Zhao Guoping, molecular microbiologist, born in Shanghai in 1948, is a professor of Institute of Plant Physiology and Ecology (IPPE), Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS). Currently, his major administrative positions are executive director of the Chinese National Human Genome Center at Shanghai (CHGCS) and director of the National Engineering Center for BioChip at Shanghai. He is also a professor and director of the Department of Microbiology and Microbial Engineering, School of Life Science, Fudan University. He obtained his B.S. of Microbiology from Fudan University, Shanghai, China in 1982 and Ph.D. of Biochemistry from Purdue University, W. Lafayette, Indiana, USA in 1990. He was the first production manager of Shanghai Promega Biological Products, Ltd. when he returned back to China in 1992. He joined the Shanghai Institute of Plant Physiology, CAS in 1995 as a professor, director of the Microbiology Laboratory and later the deputy director of the institute. He was the director of Shanghai Research Center of Biotechnology, CAS from 1997 to 1999. From 1999 to 2001, he was the vice president of SIBS responsible for research and planning. From 2002, he left his post at the SIBS headquarter and gradually moved to the current positions. He was a member of the Advisory Committee for Biotechnology of the State High Technology Development Program (863) from 1996 to 2005 and was elected the academician of the CAS in 2005.

Prof. Zhao has been working on the structure function relationship and reaction mechanisms of microbial enzymes since his graduate studies. Based on these studies, he is also interested in developing microbial and/or protein engineering technology for industrial application of these enzymes. He developed molecular genetics manipulation systems for studying rifamycin production in a rare actinomycete, Amycolotopsis mediterranei and has been working on cloning and characterizing genes related to the bacterial global regulation, coordinating the primary and secondary metabolisms.

Prof. Zhao organized the genomic sequencing and annotation project for Leptospira interrogans. By characterizing some key metabolic pathways and functions of some potential pathogenic genes, new insights are emerging for further in depth study of the disease mechanism. He contributed to the comparative and functional genomic analyses for the pathogenicity of phytopathogen Xanthomonas campestris pv. campestris. In particular, employing this model system, the contributions of different genetic variations upon the host specificity phenotype that distinguishing the two different strains of the same species were analyzed in detail. He organized the consortium responsible for the study of SARS molecular epidemiology and SARS CoV evolution. He successfully analyzed the molecular evolution of the virus employing the accurate and comprehensive data of epidemiology. Meanwhile, aided by the mechanism of viral genomic variation and evolution learned via this study, the animal origin of the pathogen was strongly supported, the molecular markers of the epidemiological phases of the pandemic were assigned and the critical amino acid residues related to the cross host infection of SARS CoV were characterized. This knowledge has laid down a strong foundation for searching the nature reservoir of SARS CoV and for further understanding the mechanism of cross host infection of emerging zoonotic diseases.

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Mitsuo UMEZU, PhD

Professor, Chairman of Integrative Bioscience and Biomedical Engineering,

Graduate School of Waseda University, Tokyo ,Japan

I have 30 years experience on the development of artificial hearts, and it is lucky enough for me that two types of artificial hearts, both of which I involved in, have been applied clinically in Japan. Firstly, auxiliary pneumatically-driven pulsatile assist pump was commercialized by Toyobo Company in 1991 based on the fundamental studies by the artificial heart group of the National Cardiovascular Center Research Institute, Osaka and there are over 700 clinical cases in Japan up to now. Bioengineers performed various types of in vitro experiments, such as hydrodynamic tests, hemolysis tests, etc, using our original mock circulatory systems, while huge number of goat experiment were performed towards a development of clinically quality pump. This environment was ideal to validate the data between in vitro and in vivo study. On the other hand, implantable centrifugal type- ventricular assist device project was organized by Dr.Kenji Yamazaki of Tokyo Women's Medical University in 1990 and Sun Medical Company, Waseda University and University of Pittuburgh Medical Center have been supported for the developed of clinical quality ventricular assist pump, called EVAHEART. It has been implanted into 9 human cases in Japan. The first three cases were all discharged and alive. The first patient, whose pump was implanted in May, 2005, has a full-time job, while he drives a car for work everyday. Bioengineers have established a methodology of original in vitro tests to eliminate considerable risk factors, such as fatigue tests, seal leakage tests, etc. These in vitro tests have been proved to be effective and these approaches will reduce a number of animal experiment in the near future.

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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.

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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

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.

Adaptive Bolus Chasing Computed Tomography Angiography

  Er-Wei Bai

The University of Iowa, Iowa City

  Abstract

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.

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Professor Tom Heskes

Head of Machine Learning Group, Intelligent Systems
Institute for Computing and Information Sciences (iCIS)
Faculty of Science
Radboud University Nijmegen
t.heskes@science.ru.nl

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.


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