The Society for Modeling and Simulation International (SCS) Distinguished Lectureship Program (DLP) is aimed at providing distinguished lecturers who are authorities in modeling and simulation theory, applications and related disciplines, to SCS regional and technical chapters and councils as well as to student chapters. The host organization is responsible for covering all transportation & hotel expenses and meals. Our distinguished lecturers do not expect any honorarium.
If you are interested in inviting one of our distinguished lecturers to visit / speak to your organization, please contact the SCS Executive Director, Ms. Diane "DJ" Weed and SCS Distinguished Lectureship Program Director, Mohammad S. Obaidat. Please indicate the name of the lecturer, the topic, and the desired date of the visit to your organization.
Below is the current list of SCS Distinguished Lecturers and their curriculum vitae.
Paul A. Fishwick
Computer and Information Science and Engineering
University of Florida,
Gainesville, FL 32611, USA
http://www.cise.ufl.edu/~fishwick/
Biography
Paul A. Fishwick is Professor of Computer and Information Science and Engineering at the University of Florida. He received the BS in Mathematics from the Pennsylvania State University, MS in Applied Science from the College of William and Mary, and PhD in Computer and Information Science from the University of Pennsylvania in 1986. He also has six years of industrial/government production and research experience working at Newport News Shipbuilding and Dry Dock Co. (doing CAD/CAM parts definition research) and at NASA Langley Research Center (studying engineering data base models for structural engineering). His research interests are in computer simulation modeling and analysis methods for complex systems. He is a Senior Member of the IEEE and a Fellow of the Society for Computer Simulation. He is also a member of the IEEE Society for Systems, Man and Cybernetics, ACM and AAAI. Dr. Fish wick founded the comp. simulation Internet news group (Simulation Digest) in 1987, which has served numerous subscribers. He has chaired several workshops and conferences in the area of computer simulation, including serving as General Chair of the 2000 Winter Simulation Conference. He was chairman of the IEEE Computer Society technical committee on simulation (TCSIM) for two years (1988-1990) and he is on the editorial boards of several journals including the ACM Transactions on Modeling and Computer Simulation, IEEE Transactions on Systems, Man and Cybernetics, The Transactions of the Society for Computer Simulation}, International Journal of Computer Simulation, and the Journal of Systems Engineering. He has delivered 12 International Keynote addresses at major conferences relating to simulation. He has published over 180 technical publications, written one textbook, co-edited two Springer Verlag volumes in simulation, and published ten book chapters. He recently finished a book for MIT Press on Aesthetic Computing, which will be published in April 2006, and he is Editor of the CRC Handbook for Dynamic Systems Modeling, to be published in 2007.
Lecture Topics
The Nature of Model Representation for Simulation
Modeling is a core activity for most forms of scientific analysis. Where sufficient data are available, models can be hypothesized. However, no decision procedure exists to output one model for a domain problem since there are literally hundreds of types of models along with varieties for each one. We discuss the nature of modeling from the perspective of language (syntax, syntax, and pragmatics) as a holistic way to understand the complex relationship between models of different types, and to better understand human-model integration.
Teaching Simulation with Creativity and SimPack
It is a real challenge to get students interested in modeling and simulation without the appropriate tools. One of the ways that we have found to improve motivation and creativity is to provide an environment that allows students to explore their own model representations and behaviors, allowing for full 2D, 3D, and aural feedback. We describe an open source package (SimPack) that has been used over the past three years to teach fundamental concepts in model design and simulation execution. Students come away from the class, learning the concepts while creating multimedia presentations.
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John A. "Drew" Hamilton Jr.
Department of Computer Science and Software Engineering
Auburn University,
Auburn, Al 36849, USA.
http://www.drew-hamilton.com/
Biography
John A. "Drew" Hamilton Jr., Ph.D., is an associate professor of computer science and software engineering at Auburn University and director of Auburn University's Information Assurance Laboratory. Prior to his retirement from the U.S. Army, he served as the first director of the Joint Forces Program Office, on the electrical engineering and computer science faculty of the U.S. Military Academy, as well as chief of the Ada Joint Program Office. He has a B.A. in journalism from Texas Tech University, an M.S. in systems management from the University of Southern California, an M.S. in computer science from Vanderbilt University, and a Ph.D. in computer science from Texas A&M University. Dr. Hamilton is currently the Senior Vice-President of the Society for Modeling and Simulation (SCS), International and the Secretary-Treasurer of the ACM Special Interest Group in Simulation (SIGSIM).
Lecture Topics
What if a Simulation is too good?
The need for simulation software vulnerability assessment is being driven by three major trends: Increased use of modeling and simulation for training and operational planning; increased emphasis on coalition warfare and interoperability and finally increased awareness of the potential security risks inherent in sharing operationally useful software. This presentation will describe in an unclassified manner the process developed by the Missile Defense Agency and Auburn University to evaluate potential vulnerabilities in shared simulation software.
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Mohammad S. Obaidat
Professor of Computer Science
Monmouth University,
W. Long Branch, NJ 07664, USA
IEEE Fellow and SCS Fellow
Chief Editor, International Journal of Communication Systems, Wiley
http://www.monmouth.edu/mobaidat
Biography
Professor Mohammad S. Obaidat is an internationally well-known academic, researcher, and scientist. He received his Ph.D. and M. S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. Dr. Obaidat is currently a full Professor of Computer Science at Monmouth University, NJ, USA. Among his previous positions are Chair of the Department of Computer Science and Director of the Graduate Program at Monmouth University and a faculty member at the City University of New York. He has received extensive research funding. He has authored or co-authored five books and over three hundred (300) refereed scholarly journal and conference articles. Dr. Obaidat has served as a consultant for several corporations and organizations worldwide and is editor of many scholarly journals, including being the Chief Editor of the International Journal of Communication Systems published by John Wiley. In 2002, he was the scientific advisor for the World Bank/UN Workshop on Fostering Digital Inclusion. He was an IEEE (Institute of Electrical and Electronics Engineers) Distinguished Visitor/Speaker and has been serving as a National ACM (Association for Computing Machinery) distinguished Lecturer since 1995. Recently, Dr. Obaidat was awarded the distinguished Nokia Research Fellowship and the Distinguished Fulbright Scholarship.
Dr. Obaidat has made pioneering and lasting contributions to the multi-facet fields of computer science and engineering. He has guest edited numerous special issues of scholarly journals such as IEEE Transactions on Systems, Man and Cybernetics, Elsevier Performance Evaluation, Simulation: Transactions of the Society for Modeling and Computer Simulation International, Elsevier Computer Communications Journal, Journal of C & EE, and the International Journal of Communication Systems. Obaidat has served as the steering committee chair, advisory Committee Chair and program chair of many international conferences. He is the founder of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS and has served as the General Chair of SPECTS since its inception. Obaidat has received a recognition certificate from IEEE. Between 1994-1997, Obaidat has served as distinguished speaker/visitor of IEEE Computer Society. Since 1995 he has been serving as an ACM Distinguished Lecturer. Between 1996 and 1999, Dr. Obaidat served as an IEEE/ACM program evaluator of the Computing Sciences Accreditation Board/Commission, CSAB/CSAC. Between 1995 and 2002, he has served as a member of the board of directors of the Society for Computer Simulation International. Between 2002 and 2004, He has served as Vice President of Conferences of the Society for Modeling and Simulation International SCS. Prof. Obaidat is currently the Vice President of Membership of the Society for Modeling and Simulation International SCS. He has been invited to lecture and give keynote speeches worldwide. His research interests are: wireless communications and networks, modeling and simulation, performance evaluation of computer systems, algorithms and networks, information and computer security, telecommunications and Networking systems, high performance and parallel computing/computers, applied neural networks and pattern recognition, security of e-based systems, and speech processing. During the 2004/2005 academic year, he was on sabbatical leave as Fulbright distinguished Professor and Advisor to the President of Philadelphia University, Dr. Adnan Badran. The latter (Dr. Badran) became in April 2005 the Prime Minster of Jordan. Prof. Obaidat is a Fellow of the Society for Modeling and Simulation International SCS, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).
Lecture Topics
Principles of Performance Evaluation of Computer & Telecommunication Systems
Performance evaluation of computer and telecommunication systems has become an increasingly important issue given their general pervasiveness. Evaluating of these systems is needed at every stage in their life. There is no point in designing and implementing a new system that does not have competitive performance. Performance evaluation of an existing system is also important since it helps to determine how well it is performing and whether any improvements are needed in order to enhance the performance. Computer and telecommunications systems performance can be evaluated using measurement, analytic modeling and simulation. Once a system has been built and is running, its performance can be evaluated using measurement techniques. In order to evaluate the performance of a component, or subsystem that cannot be measured, for example, during the design and development phases, it is necessary to use analytic or simulation modeling so as to predict the performance.
The objective of this talk is to provide an up-to-date treatment of the fundamental techniques and algorithms of computers, networks, and telecommunications systems performance modeling, simulation and measurement. Special emphasis will be given to discrete event simulation. The application of these techniques will be demonstrated by case studies and examples.
Fundamentals of Wireless Networks Systems
The field of wireless networks systems has witnessed tremendous growth in recent years causing it to become one of the fastest growing segments of the telecommunications technology. As wireless networks evolve with increasing size and profitability, they will be able to integrate with other wireless technologies enabling them to support mobile computing applications and perform as efficiently as wired networks. Due to the difficulties posed by the wireless transmission medium and the increasing demand for better and cheaper services, the area of wireless networks is also an extremely rich field for research and development.
This talk provides an in-depth coverage of the wide range of wireless technological alternatives offered today. It covers the fundamental techniques in the design, operation, and evaluation of wireless networks. It introduces the basic topics involved with wireless systems such as the electromagnetic spectrum physics of propagation, modulation multiple access and performance enhancement techniques, and cellular and ad-hoc concepts. It also presents the First Generation (1G) cellular systems, current Second Generation (2G) systems architectures supporting voice and data transfer and discusses the fast evolving world of Third Generation (3G) mobile networks systems. We will also, provide a vision of 4G and beyond mobile and wireless systems and describe satellite-based systems, fixed wireless systems, wireless LANs, wireless ATM and ad-hoc systems, Personal Area Networks (PANs) and security issues in wireless networks. Techniques for modeling simulation of wireless networks along with case studies will be covered as well.
Simulation of Wireless Networks Systems
This talk will deal with the essentials of wireless networks simulation. We will introduce the basics of discrete-event simulation, as it is the simulation technique used for simulating wireless networks. We will then review the main characteristics of the commonly–used stochastic distributions used for the simulation of wireless networks. The techniques used to generate and test random number sequences will be investigated next. Then, we will introduce the techniques used to generate random-variants followed by performance metrics consideration. This presentation will provide cases studies on the simulation of wireless network systems including wireless LANs, Mobile Ad hoc Wireless Networks (MANETs), TRAP and RAP wireless LANs protocols, and QoS in IEEE 802.11 WLAN Systems.
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Tuncer Ören
School of Information Technology and Engineering (SITE)
Faculty of Engineering,
University of Ottawa,
Ottawa, Ontario, Canada, K1N 6N5
http://www.site.uottawa.ca/~oren/
Biography
Dr. Ören is a professor emeritus of computer science at the School of Information Technology and Engineering of the University of Ottawa (Canada).
Research interests include:
- Advanced M&S methodologies and environments such as multimodels and multisimulation.
- Cognitive simulation: Simulation of human behavior by fuzzy agents with dynamic personality; agents with personality and emotions; agents with perception, anticipation, and understanding abilities;
- Reliability and quality assurance in M&S and user/system interfaces;
- Professional ethics for sustainable civilized behavior (for humans as well as for software agents)
- Body of knowledge and terminology of M&S.
Publications : over 340 (some translated in Chinese and German). Contributions in over 340 conferences and seminars held in nearly 30 countries. In 2005 alone, delivered 10 invited talks in conferences and seminars held in China, France, Turkey, and the USA.
Professional organizations : Currently he is a member of the Board of Directors, AVP on Ethics, AVP on Student Affairs, and Founding Director of the M&SNet (McLeod Network of Modeling and Simulation) of the Society for Modeling and Simulation International. He is the past director of MISS (McLeod Institute of Simulation Sciences). He was the founding Chairman of the First Executive Committee of the Chairmen of the Canadian Computer Science Departments.
Honors : Invitations from United Nations; sponsorship from NATO; Canadian computing pioneer, and fellowships, scholarships, or sponsorships from 11 countries. Over 20 Who's Who citations.
Awards: "Information Age Award" from the Turkish Ministry of Culture and plaques and certificates of appreciation from organizations including NATO, Atomic Energy of Canada, and ACM.
Lecture Topics
Multimodels and multisimulation
Multimodeling is an advanced modeling paradigm applicable to many modeling methodologies as well as software agents. Multimodels encapsulate a set of closely related modules of a model. In the basic type of multimodel, only one model module can be active at a given time. During simulation, transition conditions are monitored for switching from a module to another one. Over 15 types of multimodels will be presented in a systematic way. These include single aspect, multiaspect, mutational, and evolutionary multimodels.
Multisimulation allows experimenting with several aspects of reality at the same time. Simulation studies of systems of systems, federations of federations, and even any large scale and multiaspect simulation study can benefit from this novel concept.
Systems with Understanding Ability: Toward Advanced Agents
Use of agents in several types of applications of modeling and simulation is maturing. However, among some of the remaining challenges is the specification and realization of agents with understanding ability. After clarification of several aspects of the concept of “understanding,” anatomy of systems with understanding abilities will be presented. This will be followed by a systematic presentation of about 40 types of understanding. The desirability of multivision understanding as well as its essence will be clarified and performance factors of systems with understanding abilities will be discussed.
Agents with Dynamic Personality
Realization of agents with personality has several important application areas such as modeling and simulation of human behavior. In the presentation, a systematic view of the 30 facets of human personality will be presented. Then, six personality traits, the personality dynamics and their representations by fuzzy agents will be explained. The approach can be used as a dynamic personality filter for agents with personality. Similar to the use of different (material or digital) filters with the same camera, dynamically tailorable personality filters can be used with the same agent to represent different personalities. The relevance to high cognitive complexity will also be discussed especially with reference to coping with complexity.
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Helena Szczerbicka
FB Informatik
Universität Hannover
Welfengarten 1
30167 Hannover, Germany
http://www-a2.informatik.uni-hannover.de/~xmb/helena.html
Biography
Dr. Szczerbicka has an M.Sc. in Applied Mathematics and Ph.D. in Computer Science from the Warsaw University of Technology, Poland. She has been on the faculties of Warsaw University, University of Karlsruhe, Germany and the University of Bremen, Germany. She has been a full professor at the University of Hannover since 2000, where she was the chair of the Institute of the Computer Science for two years. She spent her sabbaticals at the University of California, Berkeley and the University of Central Florida, Orlando. She was awarded with the Erskin Fellowship from the University of Canterbury, NZ, for June-October 2005. Currently she leads a research group SIM-Simulation and Modelling. She works actively in the Federation of European Simulation Societies (Eurosim), the German Simulation Society (Asim) and the Society for Computer Simulation (SCS) as a Vice President for Publications and a chair of the Technical Council Methodology. She serves as a member of an editorial board of the book series Frontiers of Simulation. Recently she has been involved in international activities on establishing a curriculum for an educational program for a simulation degree and a certification of simulation professionals as a member of the international Modelling & Simulation Professional Certification Implementation Group, Washington, USA. Since 1990 she is an Associate Member of the McLeod Institutes of Simulation Sciences, USA. Since 1992 she has been conducting the FG4.5.3 Working Group Simulation and Artificial Intelligence of the German Society of Computer Science (GI). She is an area editor of the Simulation: Transactions of the SCS. She has been certified as Pioneer a Simulation Professional by the M&SPCC. She has been involved in organization of numerous conferences in the field of simulation, program committee member, and as a track or general chair as well. She is an author or co-author of more than 90 papers and co-author of one book. Four of her papers have been selected for the best paper award. Her research interests are in the field of modelling performance and performability of large scale, discrete dynamic systems. She is interested in the application of methods of artificial intelligence to modelling, simulation, optimization and validation as well as distributed and web-based simulation. Her research is frequently triggered by industrial co-operations. She is currently involved in establishing a Centre for Integrated Simulation at the University of Hannover.
Lecture Topics
Challenges in on-line simulation
In common applications discrete event simulation is used for purpose of the prediction of the behaviour of complex systems before the system is put into operation. The major technical issue in the methodology is primarily the statistical analysis of simulation output. In recent years however another application of simulation is getting more attention. Motivated by technical feasibility of fast simulation and processing large amount data in real time on one side and requirements for fast adaptation of complex manufacturing, transportation systems or computer networks in which the best performance can not be reached by means of off-line simulation on the other side, on-line simulation becomes a topic of interest in management of complex systems.
The talk will introduce the concept of on-line simulation, specific properties and resulting requirements on the methodology. We can describe on-line simulation as a technique for improving the performance of systems prone to changing characteristics of the environment and to maintain system attributes in a proactive manner. The talk will conclude with some applications.
Analysis of interaction of protocols in ad-hoc networks
Ad-hoc networks are self-organizing networks, which operate without predefined infrastructure and careful design capturing all phenomena featured by these systems. The majority of research addresses only specific aspects of protocol design viewing protocols separately. In the talk performance of the most important parts of the protocol stack MAC and Routing mechanism will be considered jointly in context of factors determining the operation of the network. The focus will be on the methodological aspects of the analysis of the experimental data. The protocol interaction will be analysed with Analysis of Variance (ANOVA).
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Adelinde Uhrmacher
Department of Computer Science
University of Rostock
D-18051 Rostock
http://www.informatik.uni-rostock.de/~lin/
Biography
Since April 2000 Dr. Uhrmacher has been as Associate Professor and Head of the Modeling and Simulation Group of the Department of Computer Science, University of Rostock. Diploma (1987) at the Faculty of Computer Science, University of Koblenz, Research Scientist (1987-1992) at the Environmental Systems Research Laboratory, University of Kassel, (1991-1992) Fellow of the Otto Brown Foundation, (1992) Ph.D. at the Department of Computer Science, University of Koblenz, (1992-1994) Research Scientist at the Artificial Intelligence and Simulation Laboratory, University of Arizona Tucson, (1993-1994) Collaborator of the Biosphere Space Ventures Incorporation Tucson, Arizona, (1993-1994) Fellow of the Feodor Lynen Program, Alexander von Humboldt Foundation, (1994-2000) Scientific Assistant (Assistant Professor) at the AI Department of the Faculty of Computer Science, University of Ulm, (2000) Habilitation (Venia Legendi) at the Faculty of Computer Science, University of Ulm.
Editor-in-Chief of the journal Simulation: Transactions of the Society for Modeling and Computer Simulation International, and Associate Editor of the journal Transactions on Computational Systems Biology.
Lecture Topics
Agent-Oriented Simulation - Applications and Challenges
The relations between agents and simulations are manifold. Different application projects shall illuminate the interrelation. Agents are used as a metaphor for modeling dynamic systems, e.g. in sociological, ecological and (cell-) biological applications. Simulation is used to test software agents in virtual dynamic environments and thus become part of agent-oriented software engineering. Testing software designed to help people suffering from dementia in their daily life or evaluating strategies to provide services in ad hoc networks require human behavior representations, however at quite different levels of detail. The heterogeneity of models, their number, and their dynamics which typically include dynamic interaction, composition - and behavior pattern add to the complexity of models and provide challenges for modeling, and simulation alike.
Multi-Level Models in Systems Biology
Different modeling and simulation methods are applied in Systems Biology. They emphasize a qualitative, quantitative, deterministic, stochastic, continuous or discrete view on the system under study. A less explored dimension is the organizational level at which the system is studied. Are we only interested in concentrations or are we interested in the activities of individual actors in the cell? Typically, the later is combined with a discrete-stochastic perception. Multi-level models combine macro and micro perspectives and allow a zooming in and out on demand. To support multi-level models challenges current methods. How different modeling formalisms and simulation engines respond to these challenges shall be discussed in this lecture.
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Bernard P. Zeigler
Arizona Center for Integrative Modeling and Simulation
Joint Interoperability Test Command
Tucson, AZ 85721
Biography
Bernard P. Zeigler is Professor of Electrical and Computer Engineering at the University of Arizona, Tucson and Director of the Arizona Center for Integrative Modeling and Simulation. He is internationally known for his 1976 foundational text Theory of Modeling and Simulation, recently revised for a second edition (Academic Press, 2000), He has published numerous books and research publications on the Discrete Event System Specification (DEVS) formalism. In 1995, he was named Fellow of the IEEE in recognition of his contributions to the theory of discrete event simulation. In 2000 he received the McLeod Founder’s Award by the Society for Computer Simulation, its highest recognition, for his contributions to discrete event simulation. In June 2002, he was elected President of the Society (recently, renamed The Society for Modeling and Simulation, International.) In 2003, his autobiographical retrospective on the evolution of the theory of modeling and simulation appeared in the International Journal of General Systems. (Vol. 32 (3)).
Zeigler served on two National Research Council committees to recommend directions for information technology and simulation modeling in the 21st Century and a third NRC committee that developed a book of recommendations on simulation enhancements to systems acquisition and manufacturing. He has given numerous keynote talks, tutorials and short courses, and organized symposia and conferences that were the first to promote modeling and simulation fundamentals and theory and has been a participant in recent workshops on the science of simulation.
In 2001, with Hessam Sarjoughian and other faculty, he founded the Arizona Center for Integrative Modeling and Simulation dedicated to the development of modeling and simulation as a discipline of the future.
Zeigler currently heads a major ACIMS research and development project with the Joint Interoperability Test Command (JITC) where he is leading the design of the future architecture for large distributed simulation events for the Joint Distributed Engineering Plant (JDEP). He is also developing DEVS-methodology approaches for testing system-of-systems interoperability and combat effectiveness of new major Defense Department acquisitions such as Future Combat System.
Lecture Topics
Simulation-based testing of Emerging Defense Information Systems
Modeling and simulation methodology is attaining core-technology status for standards conformance testing of information technology-based defense systems. To illustrate, we will discuss the development of automated test case generators for testing new defense systems for conformance to military tactical data link standards. In particular, the DEVS discrete event simulation formalism has proved capable of capturing the information-processing complexities underlying the MIL-STD-6016C standard for message exchange and collaboration among diverse radar sensors. We discuss how the formalism is being in distributed simulation to evaluate the performance of an emerging approach to the formation of single integrated air pictures (SIAP).
DEVS Today: Recent Advances in Discrete Event-Based Information Technology
We review the DEVS modeling and simulationframework its fundamental concepts are discussedfrom the standpoint of discrete event informationprocessing with an example drawn from recentexperiments on infant cognition. We also cover the DEVS formalism’s atomic and coupled models and its hierarchical, modular composition approach. Some industrial applications of the methodology are discussed in depth to highlight the formalism’s utility in the development of commercial and defense information technologies.
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