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Speakers |
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1
Professor Milorad BOJIĆ
Faculty of Mechanical Engineering
Kragujevac University, Kragujevac, Serbia
1. What is the most
important problem for our civilization in this moment?
2. Definition of renewable energy (RE), 3. Reasons
behind RE use, 4. Concentration of RE, 5. Life cycle of
RE use, 6. Geographical distribution of RE, 7. Huge
amount of non-RE that should be replaced by RE 8. Abrupt
increase of greenhouse gas emission during production of
devices for use of RE. 9. Increase of energy
consumption- is our space ship (earth) in danger? 10.
Possible solution for energy use in future.
Family name: Milorad BOJIĆ
Date and place of birth: 1951, January, 4, Belgrade,
Serbia
E-mail:
bojic@kg.ac.rs
Phones (office): (381-34) 330-196, (home): (381-64)
844-96-94
Fax: (381-34) 330-196
Permanent (and mailing) address: Faculty of Mechanical
Engineering at Kragujevac, Sestre Janjić 6, 34000
Kragujevac, Serbia
Education: Sci.Dr. in Mechanical Engineering,
Kragujevac University, Kragujevac, Yugoslavia, (1984).
M.Sc in Mechanical and Aerospace Engineering, University
of Syracuse, Syracuse, New York -USA, (1977). Master Ing.
in Mechanical Engineering, Belgrade University,
Yugoslavia (1974)
Publications: Author and coauthor of more than
200 publications, where more than 67 are published in
international journals where he is cited
more than 200 times. See, e.g., some of publication
titles:
1. Bojic,M., Trifunovic,N., Papadakis,G., Kyritis,S.,
Numerical simulation, technical and economic evaluation
of air-to-earth heat exchanger coupled to a building.”
Energy-The internаtional Journal, 22(12) :1151-1158
(1997).
2. Bojic,M., Dragicevic,S., MILP optimization of energy
supply by using a boiler, a condensing turbine and a
heat pump. Energy Conversion and Management
43(4):591–608 (2002).
3. Bojić, M., and Despotović, M.,. M. Influence of
duration of thermal comfort provision on heating
behavior of buildings, Energy Conversion and Management
48 (8) :2416–2423 (2007).
4. Bojić, M., Mathematical Modeling of Energy
Consumption in Industry by using Energy-Object-Network
Methodology, Monograph, Manual of Process Engineering
and technology Series, 8, Process Engineering Publisher,
Praha, Czech Republic (1996).
Topics of scientific research: Energy recovery,
finite-time thermodynamics, thermoeconomy, building
energy simulations, global warming, renewable energy,
LCA for energy and green house gas emissions,
application of free internet resources to education.
Present position: Full Professor of Mechanical
Engineering Faculty at Kragujevac, University of
Kragujevac, Serbia. Lecture courses: 1) Thermodynamics;
2) Heating and Air Conditioning and Solar Energy; 3)
Solar Engineering; 4) Building energy simulation.
Membership:
from 2007 – up to now: Associate editor of Energy
international journal published by Elsevier.
from 2006-up to now: Elected member of Academy of
Engineering Sciences of Serbia
from 2005-up to now: Elected member of Serbian
Scientific Society
from 2004 – up to now: Member of the International
Organizing Committee of EURONETRES (The European Network
on Education and Training in Renewable Energy Sources)
from 2004, Member in the Editorial and Scientific
Committee of The International Journal of Nuclear
Governance, Economy and Ecology published by
Inderscience, 2003: Honorary Member of Society of
Mechanical and Electrical Engineers and Technician of
Serbia, from 2000-up to now: Member of ASHRAE (American
society of Heating, Refrigeration, Air Conditioning
Engineers)
Research and Teaching Experience abroad France, Reunion
(2009)- Visiting professor at Reunion University, China,
Hong Kong (2006)- Research Fellow at University of Hong
Kong.
China, Hong Kong (2002-2003) Honorary Professor at the
Hong Kong Polytechnic University.
China, Hong Kong (2001-2002) Visiting Professor The Hong
Kong Polytechnic University, Department of Building
Services Engineering, Hong Kong, China, Hong Kong
(1999-2001) Professorial Research Fellow The Hong Kong
Polytechnic University, Department of Building Services
Engineering, Hong Kong Japan, Nagoya (1997) Visiting
Professor at Nagoya University.
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2
Professor Esko Turunen
Topic:
Solving Real World Problem by
Soft Computing Tools
We present three fundamental tools from
soft computing realm to solve real world problems that
are vague in nature and not easy to handle with
classical mathematical methods. We show by several real
world examples how such problems are solved. First we
discuss the GUHA-method in data mining. Knowledge
discovery in databases is the non-trivial process of
identifying valid, novel, potentially useful, and
ultimately understandable patterns in data i.e. in
single flat table comprising a number of fields
(columns) and records (rows). Data mining is a step in
this process concerned with applying computational
techniques (i.e., data mining algorithms implemented as
computer programs) to actually find patters in the data.
GUHA (General Unary Hypotheses Automaton) is a method of
automatic generation of hypotheses based on empirical
data, thus a method of data mining. The GUHA method is
based on first order logic with non-classical
quantifiers and finite models. Exploratory analysis
means that there is no single specific hypothesis that
should be tested by data; rather, the aim is to get
orientation in the domain of investigation, analyse the
behaviour of chosen variables, interactions among them
etc. Such inquiry is not blind but directed by some
general (possibly vague) direction of research (some
general problem). Second we consider Pavelka style fuzzy
logic, a well-defined sentential logic with truth values
in the real unit interval [0,1] (or, more generally, in
an injective MV-algebra). Well-defined here means that
there is a semantic consideration, i.e. truth functions,
as well as syntactic consideration, that is, axioms and
many-valued rules of inference, and that these two
concepts coincide. This means that Pavelka style logic
is complete. Moreover, this fuzzy logic generalizes
classical Boolean logic in a reasonable way: everything
that can be said in Boolean logic with truth values in
{0,1} can be generalized to cover situations with truth
values are in the whole interval [0,1]. Such an approach
opens new prospects for applications. The third topic
that we focus on is many-valued similarity; a
[0,1]-valued fuzzy relation that is reflective,
symmetric and weakly transitive, thus, a many-valued
extension of classical equivalence relation. In real
world applications objects are often not just similar or
dissimilar but their similarity is a matter of degree.
Many-valued similarity can be seen as a part of Pavelka
style fuzzy logic, where it has many admirable
properties, for example combining several (partial)
many-valued similarities into a one global (or total)
similarity is again a many-valued similarity. We present
several applications that exploit the above mentioned
mathematical tools.
Esko Turunen,
PhD, was born in 1955 in Finland. After graduating at
Tampere University, Finland, he continued studies in
Czech Republic and in Italy, and defended his PhD thesis
in 1994 in Finland. Since 1987 Turunen has published
over fifty scientific papers and conference talks on
mathematical fuzzy logic, logic based data mining and
paraconsistent logic. Besides theoretical papers,
Turunen has applied fuzzy and other non-classical logics
e.g. in traffic signal control, medical expert systems
and reservoir control. His most remarkable scientific
contribution is a monograph Mathematics behind Fuzzy
Logic published by Physica Verlag in 1999.
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3
Dr. Okyay Kaynak
UNESCO Chair on Mechatronics
Bogazici University
Istanbul, Turkey
Topic:
Intelligent Systems:
An Assessment of the Past and the Prospects for the
Future
The last decade of the last millennium is
characterized by what might be called the intelligent
systems revolution, as a result of which, it is now
possible to have man–made systems that exhibit ability
to reason, learn from experience and make rational
decisions without human intervention. Prof. Zadeh has
coined the word MIQ (machine intelligence quotient) to
describe a measure of intelligence of man-made systems.
In this perspective, an intelligent system can be
defined as a system that has a high MIQ. In the
presentation the state-of-art reached in intelligent
systems is overviewed with examples and a perspective on
the future is given. The reasons behind the slow pace of
developments are discussed. The talk closes with a
consideration of the possible research directions in
mechatronics and robotics as driving forces behind the
development of intelligent systems.
Okyay Kaynak
is a graduate of University of Birmingham, UK (B.Sc.
1969, Ph.D. 1972). He is a Fellow of IEEE and holds
UNESCO Chair on Mechatronics at Bogazici University,
Istanbul, Turkey. He has hold long-term (near to or more
than a year) Visiting Professor/Scholar positions at
various institutions in Japan, Germany, U.S. and
Singapore. His current research interests are in the
fields of intelligent control and mechatronics. He has
authored three books and edited five and authored or
coauthored more than 200 papers that have appeared in
various journals and conference proceedings. Dr. Kaynak
is a fellow of IEEE. He has served as an Associate
Editor of the IEEE Transactions on Neural Networks and
as the Editor-in-Chief of IEEE Transactions on
Industrial Informatics. Currently he is an Associate
Editor of the IEEE Transactions on Industrial
Electronics, IEEE Sensors Journal and the Area Editor
(Robotics and Mechatronics) of the Springer journal;
Soft Computing. Additionally he is on the Editorial or
Advisory Boards of a number of scholarly journals. Dr.
Kaynak is active in internationally organizations, has
served on many committees of IEEE and was the president
of IEEE Industrial Electronics Society during 2002-2003. |
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4
Professor Alfredo Weitzenfeld
Computer Engineering Department
Instituto Tecnológico Autónomo de México
(ITAM)
Director Robotics and BioRobotics
(CANNES) Laboratories
Topic:
Biologically-Inspired Robotics: Spatial Cognition in
Rats
Biology has been an important source of
inspiration in creating new technologies. In the
robotics realm, an extensive number of architectures
have taken inspiration from animal behavior. These
robotic architectures have sought to mimic animal
ethology, i.e. behavior described by higher-level brain
processes, and to a lesser extent animal neuroethology,
i.e. behavior mapped to underlying neural structures.
From a neuroscientific perspective, advances in brain
theory have provided an ever increasing understanding of
the underlying mechanisms involved in aspects such as
memory, adaptation and learning. To model such systems
we have developed a multi-level schema and neural
networks approach that we now apply to the development
of biologically inspired robotic architectures such as
spatial cognition in rats. Spatial cognition is a key
cognitive capability in animals and humans involving
both spatial memory and learning. Extensive studies in
spatial cognition have provided in depth understanding
of advanced navigational skills in animals allowing them
to explore complex environments by exploiting internal
and external cues. This talk presents our current work
in developing spatial cognition models and architectures
for route and target learning in both rats and robots.
We expect these advances to help develop new generations
of adaptive robotic systems having an increasing impact
on real world applications such as Simultaneous
Localization And Mapping (SLAM) in classic autonomous
mobile robotics traditionally solved using
non-biological probabilistic techniques.
Alfredo
Weitzenfeld is a Professor at the Computer
Engineering Department in Mexico’s Autonomous Institute
of Technology (ITAM) where he directs the BioRobotics
CANNES) and Robotics Laboratories. He is also a Visiting
Scholar at the Information Technology Department at the
University of South Florida Polytechnic. Dr. Weitzenfeld
obtained a BS in Electrical Engineering from Technion,
Israel Institute of Technology, MS in computer
Engineering and PhD in Computer Science both from the
University of Southern California (USC) where he later
stayed as a Research Assistant Professor. He has
participated in various international research
collaborations in the area of robotics. He is a member
of Mexico National Research System (SNI), an IEEE-RAS
Distinguished Lecturer and one of the founders of the
IEEE-RAS Latin American Robotics Symposium (LARS). He is
also the director of ITAM Eagle Knights and USF
Robobulls RoboCup soccer teams. He is the author of more
than a hundred refereed publications and several edited
and authored books. His interests are in biorobotics,
multi-robot coordination and biological neural networks.
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5
Shuzhi Sam Ge
Director of Intelligent Systems Institute
(ISI)
University of Electronic Science and
Technology of China
Topic:
Intelligent Control and Its Applications
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.
Shuzhi Sam Ge,
IEEE Fellow, P.Eng, is the Director of Intelligent
Systems Institute (ISI), University of Electronic
Science and Technology of China, and the Director of
Social Robotics Lab, Interactive Digital Media
Institute, and Edutainment Robotics Lab, Department of
Electrical and Computer Engineering, The National
University of Singapore. He received his PhD degree and
DIC from the Imperial College, London, and BSc degree
from Beijing University of Aeronautics & Astronautics.
He has (co)-authored three books, and over 300
international journal and conference papers. He serves
as Vice President of Technical Activities, 2009-2010,
and Member of Board of Governors, 2007-2009, and Chair
of Technical Committee on Intelligent Control,
2005-2008, of IEEE Control Systems Society. He served as
General Chair and Program Chair for a number of IEEE
international conferences. He is the Editor-in-Chief,
International Journal of Social Robotics, Springer. He
has served/been serving as an Associate Editor for a
number of flagship journals including IEEE Transactions
on Automatic Control, IEEE Transactions on Control
Systems Technology, IEEE Transactions on Neural
Networks, and Automatica, and Book Editor for Taylor &
Francis Automation and Control Engineering Series. He
was the recipient of Changjiang Guest Professor, MOE,
China, 2008; and Fellow of IEEE, USA, 2006. His current
research interests include social robotics, multimedia
fusion, adaptive control, intelligent systems and
artificial intelligence.
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6
Professor Rainer E. Burkard
Graz University of Technology
Graz (Austria)
Topic:
Discrete Optimization and Location Theory
Abstract:
In
combinatorial optimization two problem classes are
distinguished: easy (= polynomially solvable)
problems and NP-hard problems which can currently
only be solved by implicit enumeration. First we discuss
easy and hard problems as well as strategies for their
solution. We give an overview on exact methods as well
as on metaheuristics. Then we turn to location
problems which deal with the question where to
establish one or more facilities in order to serve
clients in the best way. We discuss di®erent models like
median- and center location problems as well as
the quadratic assignment problem. In particular
we discuss the question how to improve already existing
facilities in order to enable a better service (inverse
and reverse location problems) and report on
new research results in these areas.
Rainer E. Burkard
is Professor of Mathematics at Graz University of
Technology. He is an expert in combinatorial
optimization and on applications of discrete
mathematics. Born in Graz, he obtained his PhD in
Mathematics at the University in Vienna. From 1973{1981
Burkard held a chair for Applied Mathematics at the
University in Cologne (Germany). In 1981 he accepted a
chair for Mathematics at Graz University of Technology.
Burkard is author of several books on discrete
optimization (e.g. Burkard, Del'Amico and Martello:
Assignment Problems, SIAM 2009) and author of over 150
research articles in international scienti¯c journals.
Burkard was president of the Austrian Operations
Research Society (1986-88), Vice President of IFORS
(1995{97) and Vice President of EURO (2001{2002). He is
an honorary member of the Hungarian Academy of Sciences
and received the EURO Gold Medal in 1997. Burkard serves
as editor of Discrete Applied Mathematics, European
Journal of Operational Research, Journal of Discrete
Optimization, Journal of Combinatorial Optimization and
others.
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7.
Professor Dobrica Milovanovic
Faculty of Mechanical Engineering
University of Kragujevac, Serbia
Topic:
Energy Efficiency in Buildings,
Industry and Transportation
Buildings
Planning & Building an Energy Efficient
Home
Condensing boiler technology
Insulation
Combined heat and power (CHP) generation
Low-energy house and passive houses
Heat
distribution and emission
Air-conditioning technology
Combining Building Technologies to Best Effect
Industry
Energy and sustainable development
Structure and trends of energy
consumption in industries
Potentials for energy efficiency improvements in
industries
Barriers to energy efficiency investments
Compressed air,
Refrigeration technology, Electrical drivers in drive
engineering
Pump
systems, Process heat, Heat recovery
Cogeneration (the concept, techniques,
advantages)
Decentralized energy supply
Transportation
Transport and energy
Transport efficiency
Vehicle efficiency and technology
Energy
Conservation and Emission Reduction Strategies
Professor Dobrica Milovanovic
Date and place of birth: 1954, December,
30, Kragujevac, Serbia
E-mail: dobrica@kg.ac.rs
Phone (office): + 381 34 330 492,
Fax: + 381 34 330 492
Mobile: +381 65 689 83 20
Address: Faculty of Mechanical
Engineering at Kragujevac, Sestre Janjić 6, 34000
Kragujevac, Serbia
Education:
Sci. Dr
in Mechanical Engineering, Kragujevac University,
Kragujevac, Yugoslavia, (1994)
M.Sc in Mechanical Engineering,
Kragujevac University, Kragujevac, Yugoslavia, (1987)
Present position:
Full Professor of Mechanical Engineering
Faculty at Kragujevac, University of Kragujevac, Serbia.
Topics of scientific research:
Energy efficiency, Renewable Energy
Sources, Oil and Gas Transport, Hydraulic and Pneumatic
Conveying.
Lecture courses:
Hydraulic and pneumatic transport, Fluid
transport, Hydro and thermo-power plants
Publications:
Author and coauthor of more than 100 publications,
mainly presented at international conferences or
published in international journals
Projects:
Supervised or participated in a number of the
international projects (TEMPUS, WUS, EAR) dealing with
Energy efficiency, Environmenta protection, Small wind
and hydro power plants, etc.
Research and Teaching Experience abroad:
Loughborough University of Technology, UK
(1989);
Loughborough University of Technology, UK
(1990);
University of Thrace, Xanthi, Greece (2000);
Wittenberg University, Springfield, USA (2002).
Other positions and activities:
Deputy Mayor in charge of Energy, City of
Kragujevac, Serbia (2008 - )
Vice President of Association of Local
Democracy Agencies (2004 - )
Member of Congress of Council of Europe
(2005 -)
Rapporteur of Council of Europe on Local
and Regional Democracy in Belgium and Germany.
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8.
Professor Davor Škrlec
Faculty of Electrical Engineering and Computing
Department of Power Systems
University of Zagreb, Zagreb, Croati
Topic:
Dynamic Planning of Active Power
Distribution Networks
Innovative operation of the distribution
systems have been underlined in the many strategic
documents related to the Smartgrids, Gridwise or
Intelligent Networks. Transition from present
distribution systems to the future ones will last for
several years and Distribution System Operators looking
for the tolls that will help them in the optimal long
term planning of active distribution networks taking
into consideration uncertainties related to the future
events. This is a fundamental issue since nowadays, in
the competitive business environment, investments are
subject to fierce pressures for reducing cost in all
aspects of operations, planning and management.
Dimension of the optimization problem, highly
constrained with mixed integer variables and necessity
to include dynamic in solving problems, uncertainties in
loads, tentative distributed generation, reliability
parameters place the high demands on optimization
methods. Overview of the optimization methods will be
given for solving dynamic planning of power distribution
networks, including optimization methods, heuristic
methods, evolutionary programming, multi-objective
programming, fuzzy sets, etc.
Davor Škrlec, IEEE member. Professor of the
University of Zagreb, employed at the Department of
Power Systems, Faculty of Electrical Engineering and
Computing. In 1990 he received his MSc degree and in
1996 his PhD degree in electrical engineering from the
University of Zagreb, Faculty of Electrical Engineering
and Computing. Research and professional interests
include: planning and operation of electrical power
networks, distributed energy resources, power systems
economics, and geographic information system
applications in the power utilities. He has published
more than 50 papers from his area of interest and he is
author and co-author of several professional books. He
is a principal investigator and project leader of
several projects funded by industry and government. Core
activities within the national research programme are
focussed on planning and operation of active
distribution networks and microgrids. He is active
member of IEEE, CIGRE and CIRED.
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9.
Prof Dan
Geiger
Computer Science
Department
Israel Institute of Technology
Title:
Bayesian networks and their
applications in Bioinformatics
This talk starts with a short tutorial on Bayesian
networks from their foundations, to learning, and
inference. Then, several applications in Bioinformatics
will be discussed using these networks. In particular, I
will describe the program Superlink Online that performs
genetic analysis using Bayesian networks and distributes
the computations on various types of compute nodes.
Professor Geiger's main research is focused
on the study of probabilistic models for intelligent
systems, in particular, the study of Bayesian
networks and their applications in Bioinformatics and in
other domains. His main contributions have focused
on several aspects of Bayesian networks, including, (1)
Foundation - which independence assumptions are encoded
in a Bayesian network, (2) Exact Inference - how to
efficiently answer queries using a Bayesian network, (3)
Learning - how to learn Bayesian networks from data, and
(4) Applications - building effective intelligent
systems based on Bayesian networks. Currently Geiger
focuses on building state of the art software packages
that help geneticists map genes for diseases either by
linkage studies, association studies, and other methods.
Geiger earned a PhD degree under the guidance of Judea
Pearl in 1990, and since then he is a member of the
academic staff at the Techion Israel Institute of
Technology.
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10.
Professor Paulo M. Pimenta
Prof. Dr.-Ing. habil.
Department of Structural and Geotechnical Engineering
Polytechnic School at the University of São Paulo
Topic: Geometrically and
kinematically exact analysis of beams and shells by a
meshless approximation method
The applicability of a meshless method on the fully
nonlinear analysis of beams and shells is investigated.
Based on a unified nonlinear theory of beams and shells,
which allows for arbitrarily large rotations and
displacements, an arbitrarily smooth Galerkin
approximation with MLS functions is built and tested
against well-known benchmark examples. Any type of
locking is observed as the performance of the method is
assessed by several numerical examples, which also
illustrate the robustness and simplicity of the
formulation.
Paulo M. Pimenta born in São Paulo,
Brazil, on August 1954, Civil Engineer by the
Polytechnic School at the University of São Paulo
(1976), Master in Structural Engineering by the
Polytechnic School at the University of São Paulo
(1978), PhD in Aerospace Engineering by the University
of Stuttgart, advisor: Prof. J.H. Argyris, (1982),
Habilitation at the University of São Paulo (1987), Full
Professor of Department of Structural and Geotechnical
Engineering of the Polytechnic School at the University
of São Paulo. Visiting Scholar at the Stanford
University, Technical University of Lisbon and Leibniz
University of Hannover. Visiting Professor at the
Technical University of Lisbon. Mercator Chair (from DFG)
at the Leibniz University of Hannover (2006).
Editor-in-Chief of the Latin-American Journal of Solids
and Structures. Member of the Scientific Board of the
journal “Computational Mechanics” (Springer). Member of
the Academy of Sciences of the State of São Paulo.
Chairman of the 10th World Congress on
Computational Mechanics in São Paulo in 2012. Areas of
expertise: Civil, Nuclear and Mechanical Engineering,
with particular actuation in Computational Mechanics,
Optimization, Structural Analysis and Finite Elements.
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