KEYNOTE SPEAKERS LIST

Oleg Gusikhin, Ford Research & Adv. Engineering, U.S.A.
          Title: Novel Areas for Modeling and Simulation in the Automotive Industry: Prediction of Energy Consumption in Electric Vehicles

Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal
          Title: Organisation Modelling with Intelligent Multi-Agent Systems

Agostino Bruzzone, University of Genoa, Italy
          Title: Critical Issues in Advancing Modeling & Simulation

Oleg Gusikhin Ford Research & Adv. Engineering U.S.A.

Brief Bio
Dr. Oleg Gusikhin is a Technical Leader at Ford Vehicle and Enterprise Sciences Research Laboratory. He received his Ph.D. from the St. Petersburg Institute of Informatics and Automation of Russian Academy of Sciences and an MBA from the Ross Business School at the University of Michigan. For over 15 years he has been working at Ford Motor Company in different functional areas including Information Technology, Advanced Electronics Manufacturing, and Research & Advanced Engineering. During his tenure at Ford, Dr. Gusikhin has been involved in the design and implementation of advanced information technology and intelligent controls for manufacturing and vehicle systems. Dr. Gusikhin is a recipient of two Henry Ford Technology Awards and the 2009 Institute of Industrial Engineers Transactions Best Application Paper Prize in Scheduling and Logistics. He is a Certified Fellow in Production and Inventory Management, chair of Southeastern IEEE Systems, Man and Cybernetics chapter and a Lecturer in the Industrial and Operations Engineering department at the University of Michigan.

Abstract
The introduction of battery electric vehicles (BEV) faces many challenges. For example, limited driving range, long charging time and sparse availability of charging stations lead to range anxiety for many prospective owners. There is a need for vehicle features that help BEV owners plan routes that avoid being stranded due to an empty battery. The key to these tools is the estimation of future energy consumption along different routes and under different driving conditions. How can this be done before sufficient statistical data is accumulated? Even when such vehicles are available it may not be possible to collect sufficient data to get meaningful statistics. This presentation describes a novel approach based on the integration of traffic simulation and propulsion modeling to predict BEV energy consumption.

Joaquim Filipe Polytechnic Institute of Setúbal / INSTICC Portugal

Brief Bio
Joaquim B L Filipe is currently a Coordinator Professor and Head of the Department of Systems and Informatics of the School of Technology of the Polytechnic Institute of Setúbal (EST-Setúbal), Portugal. He got his Ph.D. at the School of Computing of the Staffordshire University, U.K, in 2000.
His main areas of research involve Artificial Intelligence and Multi-Agent System theory and applications to different domains, with an emphasis on social issues in activity coordination, especially in organizational modeling and simulation, where he has been actively involved in several R&D projects, including national and international programs. He represented EST-Setúbal in several European projects. He has over 100 publications including papers in conferences and journals, edited books and conference proceedings. He started several conference series, sponsored by INSTICC and technically co-sponsored or in cooperation with major International Associations.

Abstract
Available soon.

Agostino Bruzzone University of Genoa Italy

Brief Bio
Agostino G. Bruzzone began his engineering studies at the Italian Naval Academy with the Faculty of Pisa. After successfully completing this phase, he transferred to the University of Genoa where he earned his doctorship in Mechanical Engineering.
Since 1991, he taught "Theories and Techniques of Automatic Control" and in 1992 he became a member of the industrial simulation work group at the ITIM University of Genoa.
Currently he is Full Professor at DIPTEM.
He has utilized extensively simulation techniques in harbor terminals, maritime trading and sailboat racing sectors.
He worked on research projects involving innovative modeling, AI techniques and DOE (design of Experiments); particular attention was focused on the application of Neural Networks and Fuzzy Logic to industrial plant problems using Simulation and Chaos Theory.
He has been actively involved in the scientific community from several years and served as Director of the McLeod Institute of Simulation Science (MISS), Associate Vice-President and Member of the Board of the SCS (Society for Modelling & Simulation international), President of the Liophant Simulation, VicePresident of MIMOS (Movimento Italiano di Simulazione) and Italian Point of Contact for the ISAG (International Simulation Advisory Grouyp) and Sim-Serv. Currently he is Director of the M&S NET.
He acquired extensive experience as a member of International Technical and Organization Committees (i.e. AI Application of IASTED, AI Conference, ESS, ESM) and as a general coordinator of scientific projects (i.e. General Chair of "Simulation In Industry Conference", "Summer Computer Simulation Conference", "International Mediterranean Modelling Multiconference" and "Web Based Simulation Conference", Program Chair of the "Workshop in Harbor and Logistics Modeling" , Guest Editor for "Special Issue of Harbor and Maritime Simulation" in Simulation , Program Chair of "Engineering Application" in WCSS and Track Chair for Manufacturing in SCSC).

Abstract
Modeling & Simulation (M&S) Methodologies have passed for sure the first half century from their foundation, at least in term of Computer Simulation, therefore this sector is still considered as a strategic and innovative technology able to support competitiveness and advances in a wide spectrum of applications.
In this speech it is proposed an overview on M&S evolution with emphasis on the most recent innovations on this area as well as cross-link with new technologies and conditions that are enabling further developments for simulationists; therefore the Critical Issues in M&S are outlined in term of evolution on these factors respect the past and new aspects to be considered for being successful in new projects; the M&S drivers and obstacles to innovation are presented as well as a set of case studies related to methodologies, technologies, applications and projects that are representing breaking trough examples for moving forward M&S to face the challenges of the third Millenium.