Organized by:

  Keynote Lecture 1
Prof. Kevin Warwick DSc (Eng), C Eng, FIEE, FCGI
Brief Bio of Prof. Kevin Warwick

Kevin Warwick is a Professor of Cybernetics at the University of Reading, UK where he carries out research in artificial intelligence, control, robotics and cyborgs. He is also Director of the University TTI Centre, which links the University with SME's and raises over £2 million each year in research income.
Kevin was born in Coventry, UK and left school to join British Telecom, at the age of 16. At 22 he took his first degree at Aston University, followed by a PhD and research post at Imperial College, London. He subsequently held positions at Oxford, Newcastle and Warwick Universities before being offered the Chair at Reading, at the age of 32.
As well as publishing over 400 research papers, Kevin has appeared, on 3 separate occasions, in the Guinness Book of Records for his robotics and Cyborg achievements. His paperback 'In the Mind of the Machine' considered the possibility of machines in the future being more intelligent than humans. His recent Cyborg experiments however led to him being featured as the cover story on the US magazine, 'Wired'.
Kevin has been awarded higher doctorates both by Imperial College and the Czech Academy of Sciences, Prague. He was presented with The Future of Health Technology Award in MIT and was made an Honorary Member of the Academy of Sciences, St. Petersburg. In 2000 Kevin presented the Royal Institution Christmas Lectures, entitled "The Rise of the Robots".

Keynote Title:
"Robot-Human Interaction: practical experiments with a cyborg and a multsensory robot head"

Keynote Abstract:
In this presentation Kevin will describe the Cyborg experiments carried out so far in which his nervous system was connected directly to the internet by means of implant technology. With such an interface it is shown how various robotic devices can be controlled, remotely by an individual, through their own neural signals. Interaction with a robot head, named Morgui, will also be described, not only is this robot useful as a testbed for multisensor integration but it is also interesting to examine how humans respond to a robot that may not appear to be immediately friendly.
Keynote Lecture 2
  Prof. Kurosh Madani
Brief Bio of Prof. Kurosh Madani

Prof. Kurosh Madani received his Ph.D. degree in Electrical Engineering and Computer Sciences from University PARIS XI (PARIS-SUD), Orsay, France, in 1990. From 1989 to 1990, he worked as assistant professor at Institut d’Electronique Fondamentale (Institute of Fundamental Electronics) of PARIS XI University, Orsay, France. In 1990, he joined Creteil-Senart Institute of Technology of University PARIS XII – Val de Marne, Lieusaint, France, where he worked from 1990 to 1998 as assistant professor. In 1995, he received the DHDR Doctorate degree (senior research doctorate degree) from University PARIS XII – Val de Marne. Since 1998 he works as Chair Professor in Electrical Engineering of Senart Institute of Technology of University PARIS XII – Val de Marne. Since 1992 he is head of Intelligence in Instrumentation and Systems Laboratory of PARIS XII – Val de Marne University located at Senart Institute of Technology. He has worked on both digital and analog implementation of processors arrays for image processing by stochastic relaxation, electro-optical random number generation, and both analog and digital Artificial Neural Networks (ANN) implementation. His current research interests include large ANN structures behavior modeling and implementation, hybrid neural based information processing systems and their software and hardware implementations, design and implementation of realtime neuro-control and neural based fault detection and diagnosis systems. Since 1996 he is a permanent member (elected Academician) of International Informatization Academy. In 1997, he was also elected as Academician of International Academy of Technological Cybernetics.

Keynote Title:
"Real-world Industrial Applications of Artificial Neural Networks, Illusion or Reality?"

Keynote Abstract:
Inspired from biological nervous systems and brain structure, Artificial Neural Networks (ANN) could be seen as information processing systems, which allow elaboration of many original techniques covering a large field of applications.
Over the past decades, new approaches based on Artificial Neural Networks have been proposed to solve problems related to optimization, modeling, decision making, control, classification, data mining, nonlinear functions (behavior) approximation etc.. Among their most appealing properties, one can quote their learning and generalization capabilities. If, over past decades, a large number of works have concerned theoretical and implementation aspects of ANN, only a few are available with reference to their real world industrial application capabilities.
The main goal of this paper is to present, through some of main ANN models and based techniques, their real application capability in real world industrial dilemmas. Several examples through industrial and real world applications will be presented and discussed covering "intelligent adaptive control", "fault detection and diagnosis", "decision support", "complex systems identification" and "image processing".

  Keynote Lecture 3
  Prof. Dr.-Ing.  F. Wolfgang Arndt
Brief Bio of Prof. Dr.-Ing.  F. Wolfgang Arndt

Prof. Dr.-Ing. F. Wolfgang Arndt got his Dipl.-Ing. in Telecommunications in 1964 at the RWTH (Rheinisch-westfälische Technische Hochschule) Aachen, Germany. He concluded, in 1968, his PhD in Computer Science at the ESE (Ecole Supérieure d´Electricité) Paris – Université de Paris, Faculté des Sciences. Between 1969 and 1974 he was project manager in the area of process automation at AEG – Telefunken Konstanz, Germany. During four years, starting in 1975, he was Head of the group for process automation in chemistry at the Department of Chemistry of the University of Konstanz. Between 1979 and 1980 he was a Professor in the Department of Computer Science at FHTE (Fachhochschule für Technik, Esslingen) Germany. Currently, Prof. Dr.-Ing. F. Wolfgang Arndt is a Professor in the Department of Computer Science at the FHK (Fachhochschule Konstanz). Since 1985, he is the Director of the Transferzentrum for System and Software Engineering Konstanz of the Steinbeis Foundation for Industrial Cooperation, where he is responsible for R&D projects with industry (AUDI, BMW, VW, AEG, MTU, Siemens, etc.).

Keynote Title:
The Digital Factory
Planning and Simulation of Production Lines in Automotive Industry

Keynote Abstract:
Automotive industry is in many areas of automation a forerunner. This is due to some special characteristics of this industrial area. To make profit each type of a car must be produced in a great number of pieces, which makes it worth to automate production as much as possible. The competition on the automotive market is very hard and forces low retail prices. Larger design changes of one type of a car necessitate a complete rebuilt of the production line in the body shop and partially in the assembly area.
But changes of a production line are expensive, because a lot of special equipment is needed and the installation of new equipment is very labour intensive. Investments available to rebuild or to change production lines are limited. Therefore any modification of a production line must be planed very carefully. The planning procedure involves a lot of different departments and is a relatively time consuming task. On the other hand before the beginning of the planning activities the day, when the new production has to be started, the date of SOP (start of production) is defined . All planning suffers therefore by a limited amount of investments and a lack of time to do detailed planning. To overcome these problems intensive engineering is done using simulation tools.
The presentation will first outline the traditional way planning is done and give an example how the planning sequence is executed in automotive industry. Then an overview is given of the possibilities of simulation and the objectives for using this technique in the automotive area. The features of some simulation tools will be explained and an introduction into the simulation of material flow on a production line in the body shop will be given using the simulation tool eMPlant. Results of the use of this tool will be presented. The final goal of all activities in this area is the digital factory, a simulation of all activities, which are taking place in a real factory. But the term digital factory means more than only making use of simulation techniques. It imposes new types of organisation and of collaboration. It will change significantly the way planning is done in the production area.
During the final part some special applications will be explained and demonstrated in real time as simulation techniques for robots, simulation of transport systems and of car painting.
Keynote Lecture 4
Dr. Albert Cheng
Brief Bio of Dr. Albert Cheng

Dr. Albert M. K. Cheng is an Associate Professor in the Department of Computer Science at the University of Houston, where he is the founding Director of the Real-Time Systems Laboratory. He has served as a technical consultant for several organizations, including IBM, and was also a visiting faculty in the Departments of Computer Science at Rice University and at the City University of Hong Kong.
He is the author/co-author of over sixty refereed publications in IEEE Transactions on Software Engineering (TSE), IEEE Transactions on Knowledge and Data Engineering (TKDE), Real-Time Systems Symposium (RTSS), Real-Time Technology and Applications Symposium (RTAS), and other leading conferences. He is serving and has served on the program committees of many conferences in his areas of research. He is a frequent reviewer for the IEEE-CS Publications Office as well as for many international journals and conferences, One of his recent work presents a timing analysis of the X-38 Space Station Crew Return Vehicle Avionics, which contains a fault-tolerant distributed system.
Dr. Cheng has received numerous awards, including the National Science Foundation Research Initiation Award (now known as the NSF CAREER award). He has been invited to present seminars and tutorials at over 25 conferences, including IEEE CAIA, IEEE COMPASS, IEEE PDIS, IEEE SAST, IEA/AIE, SEKE, SEA, DAIS, IEEE CBMS, IEEE IC3N, ICCIMA, EIS, ICPDCS, IEEE ICECCS, IEEE IPCCC, IEEE MASCOT, ACM SAC, ICEIS, IEEE ICMCS, IEEE ISSRE, ACM CIKM, and IEEE IECON; and has given invited seminars/keynotes at many universities and organizations.
He is an Associate Editor of the IEEE Transactions on Software Engineering, a Guest Co-Editor of two IEEE TSE Special Issues on Software and Performance (Nov. and Dec. 2000), an Associate Editor of the International Journal of Computer and Information Science, the work-in-progress program chair of the 2001 IEEE-CS Real-Time Technology and Applications (RTAS), the invited special panel chair for the software engineering for multimedia session at the 1999 IEEE-CS International Conference on Multimedia Computing Systems (ICMCS), and a Senior Member of the IEEE.
Dr. Cheng received the B.A. with Highest Honors in Computer Science, graduating Phi Beta Kappa, the M.S. in Computer Science with a minor in Electrical Engineering, and the Ph.D. in Computer Science, all from The University of Texas at Austin, where he held a GTE Foundation Doctoral Fellowship. He is the author of the new senior/graduate-level textbook entitled Real-Time Systems: Scheduling, Analysis, and Verification (John Wiley & Sons) ISBN # 0471-184063, 2002.

Keynote Title:
What's real in "real-time control systems"?
Applying real-time rule-based systems and formal verification methods to control systems and robotics.

Keynote Abstract:
Engineers focus on the dynamics of control systems and robotics, addressing issues such as controllability, safety, and stability. To facilitate the control of increasingly complex physical systems such as drive-by-wire automobiles and fly-by-wire airplanes, high-performance networked computer systems with numerous hardware and software components are increasingly required.
However, this complexity also leads to more potential errors and faults, during both the design/implementation phase and the deployment/runtime phase. It is therefore essential to manage the control system's complexity with the help of smart information systems and to increase its reliability with the aid of mechanical verification tools. This keynote explores the use of rule-based systems in control systems and robotics, and describes the latest computer-aided verification tools for checking their correctness and safety.
  Keynote Lecture 5
  Prof. Rosalind W. Picard

Brief Bio of Prof. Rosalind W. Picard

Rosalind W. Picard is founder and director of the Affective Computing Research Group at the Massachusetts Institute of Technology (MIT) Media Laboratory and is co-director of the Things That Think Consortium. In 1984, she earned a Bachelors in Electrical Engineering with highest honors from the Georgia Institute of Technology and was named a National Science Foundation Graduate Fellow. She worked as a Member of the Technical Staff at AT&T Bell Laboratories from 1984-1987, designing VLSI chips for digital signal processing and developing new methods of image compression and analysis. Picard earned Master and Doctorate degrees, both in Electrical Engineering and Computer Science, from the Massachusetts Institute of Technology (MIT) in 1986 and 1991, respectively. In 1991 she joined the MIT Media Laboratory as an Assistant Professor, and in 1992 was appointed to the NEC Development Chair in Computers and Communications. She was promoted to Associate Professor in 1995, and awarded tenure at MIT in 1998.
The author of over a hundred peer-reviewed scientific articles in pattern recognition, multidimensional signal modeling, computer vision, and human-computer interaction, Picard is known internationally for pioneering research into digital libraries and content-based video retrieval. She is co-recipient with Tom Minka of a "best paper" prize (1998) from the Pattern Recognition Society for their work on interactive machine learning with multiple models. Dr. Picard guest edited the IEEE Transactions on Pattern Analysis and Machine Intelligence special issue on Digital Libraries: Representation and Retrieval, and edited the proceedings of the First IEEE International Workshop on Content-Based Access of Image and Video Libraries, for which she served as Chair. She has served two terms as Associate Editor of IEEE Trans. on Pattern Analysis and Machine Intelligence, and is active on several scientific program committees and review boards. Her award-winning book, Affective Computing, (MIT Press, 1997) lays the groundwork for giving machines the skills of emotional intelligence.
Picard works closely with industry, and has consulted with companies such as Apple, AT&T, BT, HP, and i.Robot. She has been a keynote or plenary speaker at dozens of scientific and industry gatherings, including AAAI, HCI, ICASSP, IMAGINA, ACME, User Modeling, Illinois CYBERFEST, WETICE, Future of Health Technology, and The Club of Rome, as well as an invited speaker and distinguished lecturer at numerous university colloquia. Her group's work has been featured in national and international forums for the general public, such as The New York Times, The London Independent, Scientific American Frontiers, NPR's Tech Nation and The Connection, ABC's Nightline and World News Tonight with Peter Jennings, Time, Vogue, Voice of America Radio, New Scientist, and BBC's "The Works" and "The Big Byte." Picard lives in Newton, Massachusetts with her husband and three sons.

Keynote Title:
"Toward Machines with Emotional Intelligence"

Keynote Abstract:
Over 70 studies on human-machine interaction in the last decade have pointed to an intriguing phenomenon: People tend to interact with machines in a way that is very similar to how they interact with each other, even when the machine is not a robot, agent, or other kind of obviously social actor. This finding holds true even for intelligent science and engineering students who know that machines don't have feelings. The finding suggests that many of the more subtle skills critical for human-human interaction are also significant for human-computer interaction.
The skills of "emotional intelligence" have been argued to be among the most important for people, even more important than mathematical and verbal intelligences. Emotional intelligence includes the ability to recognize emotion -- to see if you're irritated or annoyed someone, pleased or displeased them, bored or interested them. It includes the ability to know when to show emotion (or not), and how you should respond to another's emotions, as well as many other skills.
In this talk, I'll describe how we're giving computers new skills of intelligence, specifically the ability to recognize and respond appropriately to human emotion. I'll show examples of systems that try to assess interest, frustration, stress, and a range of other states that occur when interacting with computers. These systems involve new kinds of sensing for desktop, wearable, and other environmental interfaces, as well as the development of new pattern recognition and machine learning algorithms for drawing inferences about the multimodal data.
Current applications include human learning, usability feedback, health behavior change, and human-robot interaction.

Keynote Lecture 6
  Eng. Nuno Cintra Martins
Brief Bio of Eng. Nuno Cintra Martins

Nuno C. Martins obtained his Ph.D. in Electrical Engineering and Computer Science, minor in Mathematics, from M.I.T in 2004 and the "Licenciado" and Msc. Degrees both in Electrical Engineering and Computer Science from the Technical University of Lisbon. In 2004, he has also completed a degree, from the Sloan School of Management, entitled Financial Technology Option.At the age of 18, he was distinguished with an honor mention by the Digital Corp. (only recipient - "Network Application Support" contest). He has also shared a first prize (with 3 other recipients), awarded by the Siemens/Emptel Corp. In 1994, he received a best paper award (prize given by the IEEE and Slovak Academy of Sciences) at the IMEKO- TC13 conference. He was awarded the following fellowships: 2 PRAXIS XXI (Portuguese Government and European Union), 1 Gulbenkian Foundation (Private), 1 PRODEP (Government) and 1 Luso-American Foundation (Government). In 1992, Nuno C. Martins was invited to join the Center for Systems and Signal Processing (Lisbon) at the Institute of Systems and Computers and in 1994 he was with the Turkish IBM development center. Later, in the same year, he moved to the Telecommunications Institute/Technical University of Lisbon. In 1995, he was one of the five founders of the LaSEEB - Evolutionary Systems and Biomedical Engineering Laboratory, located in the Institute for Systems and Robotics (Lisbon). He joined the Polytechnic Institute of Setubal as a Faculty member in 1995, where, in 1998, he was the youngest ever to be promoted to a position equivalent to Adjoint Professor. In 1997 he joined the Control Systems Group, part of the Institute of Systems and Computers, as an invited researcher. Starting in September, 2004, he will be a Post-Doctoral fellow at the Laboratory for Information and Decision Systems at MIT. He has worked in several international projects, both Scientific and Educational. In 1993 he was invited to be one of the authors of the CEE-Computer Based Training Project. He was also an author in the European project entitled "Leonardo da Vinci" in the area of Signal Processing. In 1996 he was invited to be part of the Science Alive project in the area of Physics (Portuguese Ministry of Science). In 1996, he was the coordinator of the LaSEEB participation in the signal processing module of the European Neurological Network project. His Masters Thesis was used directly as part of the project. His work was one of the 25 selected worldwide (only student; only 2 Portuguese submissions accepted) to be included in the prestigious volume "Spatiotemporal Models in Biological and Artificial Systems, IOS Press 1997", F.H. Lopes da Silva et all. (eds). In 1999, already at the Laboratory of Information and Decision Systems - MIT, he played a major role in a DARPA project in the area of distributed resource allocation in adversarial environments. At the moment he is working in the MURI project entitled "Cooperative Control of Distributed Autonomous Vehicles in Adversarial Environments". His research interests are mainly in the Information Theoretical aspects of Estimation and Control of Stochastic Systems.

Keynote Title:
"Stochasticity and Fundamental Limitations of Performance in the Presence of Finite Capacity Feedback - Communication/Computational Constraints" "

Keynote Abstract:
Nuno Martins will talk about the control of stochastic systems in the presence of communication/computational constraints. Focus of intense research, this class of problems appears in remote control as well as in channel/processor allocation for distributed control. It is also essential in the construction of failure recovery and supervision systems. The talk comprises two main sections: In the first part, the effects of communication networks and computational limitations in the feedback loop is modeled as a digital link that sends words whose size is governed by a random process. Such "channel" is used to transmit state measurements between the plant and the controller. He studies the fundamental limitations generated by the proposed framework. In accordance with previous works, stability of unstable plants is possible if and only if the channel's Shannon capacity is above given critical values. These will depend on the system's stochastic behavior and the channel statistics as well as on the stability criteria. In the second part, he departs from the assumption of a specific channel.A new fundamental limitation of Performance is presented. It parallels the famous Bode-integral formula and the water-bed effect. Such new result dictates a trade-off between disturbance rejection and channel capacity, for general channels.
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