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Stream 1
"Dynamics and
Optimization of Financial Portfolios and of Development
Strategies under Various Assumptions on Time-Dependence:
Foundations and Recent Achievements under Hybrid
Stochastic Systems" by
Gerhard-Wilhelm
Weber
gweber@metu.edu.tr
[Institute
of Applied Mathematics, Middle East Technical
University, Ankara, Turkey]
The development of the
understanding about the dynamical properties of
Stochastic Hybrid Systems is a problem of great
relevance both from a theoretical and practical
standpoint, because these kind of dynamical
systems can be used to
improve our understanding of the wide array of real
problems, especially, in financial modelling and
portfolio optimization. In this talk we focus on the use
of stochastic hybrid system to model financial
markets. The systems can be driven either by a geometric
Brownian motion, or by a more general Lévy process, and
the shifts are driven by general continuous-time Markov
process. We use the jump process in the Lévy process to
model a sudden decrease in the price process, e.g., just
after a bubble bursts. Hence, by using a jump process,
the investors may be able to evaluate their risk, i.e.,
how much they can lose if the bubble bursts. An ultimate
goal is to
develop techniques for
the detection and proper management of catastrophes in
financial markets and the corresponding strategies for
optimal portfolio management. We extend our view to
related aspects of modelling and selection in the field
of development and improvement of living condition on
earth
G.
W. (Willi) Weber
is a Professor at IAM, METU, Ankara, Turkey. His
research in on optimization and control (continuous and
discrete), OR, financial mathematics, on life, bio and
human sciences, dynamical systems, data mining,
statistical learning, inverse problems, environment and
development; he is involved into the organization of
scientific life internationally. G.-W. Weber received
both his Diploma and Doctorate in mathematics, and
economics / business administration, at Aachen
University of Technology (RWTH Aachen), and his
Habilitation (second doctorate) at Darmstadt University
of Technology (TU Darmstadt). He held Professorships by
proxy at University of Cologne, Germany, and Chemnitz
University of Technology, Germany, before he worked at
Cologne Bioinformatics Center and then, in 2003, went to
Ankara. At IAM, METU, he is in the Programs of Financial
Mathematics, Actuarial Sciences and Scientific
Computing, he is Assistant to the Director of IAM and a
member of three further graduate schools and institutes
of METU. Further, he has affiliations at University of
Siegen (Germany), University of Ballarat (Australia),
University of Aveiro (Portugal), Malaysia University of
Technology and University of North Sumatra (Indonesia).
He has served in several national and international
projects. Gerhard-Wilhelm Weber is (co-) author of more
than 200 publications, e.g., papers and books, he has
been member in the Editorial Boards of ca. 15 journals.
G.-W. Weber got various awards, calls and distinctions.
He has been involved in the organization of numerous
international scientific events. G.-W. Weber has given
various talks and courses all over the world, and he
supervised about 60 students with their theses. He is
Honorary Chair of three EURO Working Groups (EUROPT,
EURO OR for Development and EURO WG on Societal
Complexity), he has been in leading positions of several
EURO WGs, served in preparing and fostering EURO WGs,
and supports OR in EURO and IFORS, e.g., via IFORS
Resources at its homepage. He is “Advisor to EURO
Conferences”. G.-W. Weber is a member in numerous
national OR societies and other scientific
organizations, and “Representative of German OR Society
in Turkey”. He encourages education, research and their
application, in particular, for an improvement of living
conditions and a better understanding between the
peoples.
http://www3.iam.metu.edu.tr/iam/images/7/73/Willi-CV.pdf
Collaborators:
Azer Kerimov, Efsun
Kürüm, Büsra Temocin, Azize Hayfavi, Yeliz Yolcu-Okur,
Ayse Özmen, Fatma Yerlikaya, Pakize Taylan, Vilda
Purutcuoglu, Zeynep Alparslan-Gök, Özlem Defterli, Linet
Özdamar, Chandra Sekhar Pedamallu, Diogo Pinheiro, Nuno
Azevedo, Erik Kropat, Vadim Strijov, Basak Akteke
Öztürk, Süreyya Özögür Akyüz
Stream 2
"Positive-Net Energy Buildings:
approaching future" by
Milorad Bojic
milorad.bojic@gmail.com
[Faculty
of Engineering Sciences, of Kragujevac University, 34000
Kragujevac, Serbia]
For positive net
energy building (PNEB), the paper presents need,
definition and its elements. The most important is that
PNEB should provide the maximum thermal comfort with
minimum of energy, primary energy, and exergy
consumption, and minimum of CO2 emission throughout its
life. Then, the paper presents the software for energy
simulation and optimization of PNEB. After that, the
paper describes the five examples connected to PNEB. The
first example is a simulation of a residential PNEB,
second the optimization of photovoltaics in a
residential PNEB, third the description of an the
building as power plant initiative, fourth the
description of an office PNEB, fifth description of an
archive PNEB and finally a description of a headquarter
PNEB.
 Professor Milorad Bojic was born in Belgrade, Serbia. He obtained
his Ph.D. degree in mechanical engineering from
Kragujevac University. His first degree is Bachelor of
Science in Mechanical Engineering from Belgrade
University and second Master of Science in Fluid
Mechanics from Syracuse University, USA. Dr. Bojic
served in Kragujevac University from 1974 up to now. His
current title is Full Professor in Faculty of
Engineering Science, Kragujevac University. Professor
Bojic was a visiting professor at Nagoya University,
Japan, a visiting professor at Hong Kong Politechnic
Univesity, and a research associate at Hong Kong
University. He is currently a visiting professor at
Reunion Island University in France.
Professor Bojic's
specialties include, but not limited to, thermodynamics,
heat engineering, energy efficiency, and renewable
energy engineering with special attention devoted to
solar energy. Prof. Bojic is a researcher of acclaimed
and distinguished services and contributions in the
field of energy science, Professor Bojic has won many
research awards and honorary positions in prestigious
organizations both nationally and internationally. For
instance, he was a honorary professor in Hong Kong
Politechnic Univesity; he is a member of the Engineering
Academy of Serbia and the Scientific Society of Serbia .
He is in editorial board of several journals such as
Energy International and Renewable Energy from Elsevier,
and a guest editor in Elsevier journals: Energy
Conversion and Management and Energy and Buildings. He
published over 300 papers in Energy Sciences and was
cited over 300 times. In the meantime, he participates
actively in international academic organizations and
performs advisory work to government agencies and
academic organizations.
Stream 3
"Energy Production and Distribution" by
Janos Sebestyen Janosy
jjs@aeki.kfki.hu
[MTA
KFKI Atomic Energy Research Institute, Hungary]
This special
session is supposed to bring together top researchers,
engineers and students from around the world to discuss
methodology, trends, latest developments and practical
evaluations in the fields of energy production and
distribution.
Additionally to
the traditional forms of electrical energy generation –
that means coal, gas and oil firing power plants,
nuclear power plants, and hydro power plants – new, more
environment friendly solutions are stepping in, based on
renewable energy sources. Solar cells, solar boilers,
wind turbines, burning of bio-mass in the boilers are
spreading all over the world. Presently they are
economically less attractive than the traditional forms
of electrical energy generation, but due to the fact
that they are not emitting carbon-dioxide, they are
usually heavily subsidized by the environment-conscious
governments of developed countries.
Intelligent
electrical energy distribution networks can change the
price of the electrical energy continuously, according
to the actual demand. Intelligent customer systems can
adjust their energy consumption according to the actual
price, removing significant part of the peak loads,
resulting in better, more reliable and efficient usage
of the existing electrical power networks.Bio-ethanol
and bio-diesel production, hydrogen generation does not
increase the carbon-dioxide emission, too. These fuels
are supposed to be used in the transport industry. A lot
of research is needed to work out usable
hydrogen-storage technologies suitable for cars and
trucks.
Topics:
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improvements in usage of traditional
fossil power plants, less emission of pollutants and
carbon-dioxide
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energy generation based on renewable
energy sources, integration of them into existing energy
distribution networks
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improvements in power control strategies
of fission-based nuclear power plants
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electrical power generation in
fusion-based nuclear power plants
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problems of hydrogen-based energetic
systems – production, transport and storage
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biomass, bio-ethanol and bio-diesel
production and consumption
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intelligent energy distribution systems
and consumers
Stream 4
"Energy - efficient solutions for
time-space localization in wireless sensor networks" by
Ustijana Rechkoska Shikoska, and Danco Davcev
ustijana@t-home.mk [UIST Ohri, Republic of Macedonia]
Space and time play a crucial role in
wireless sensor networks, since sensor nodes are used to
collaboratively monitor physical phenomena and their
space-time properties. Wireless sensor networks (WSN)
are envisioned to be used to fulfill complex monitoring
tasks. A number of techniques and distributed algorithms
for location estimation and time synchronization have
been developed specifically for sensor networks. Enabled
by technological advancements in wireless communications
and embedded computing, wireless sensor networks (WSNs)
were first considered for military applications, where
large-scale wireless networks of autonomous sensor nodes
would enable the unobtrusive observation of events in
the real-world. Since then, the use of sensor networks
has also been considered for various civil application
domains. The categories time and location are
fundamental for many applications of sensor networks,
due to the close integration of sensor networks with the
real world.
A similarity of time and space affects
the location estimation and time synchronization,
ranging from applications and requirements to basic
approaches and concrete algorithmic techniques. An
original approaches for space and time localization in
WSNs will be presented in this special session of the
PCO’ 2012 Conference, as well as energy-efficient
approaches, by clustering the WSNs, also other solutions
for energy efficiency concerning WSNs. In some
algorithms, a mobile beacon for both localization and
synchronization has been used, a sensor node which moves
around the sensor’s field, aware of its time and
position, equipped with a GPS receiver that has the
ability to move around the sensor field. This beacon can
be a human operator, an unmanned vehicle, an aircraft,
or a robot. A mobile beacon has been successfully
applied to solve the positioning problem. For the issue
of time-space localization algorithm, different method
could be used to synchronize nodes. The algorithms can
be implemented on different network topologies.
As an energy solution, the impact of the
clusters in the sensor network can be discussed. With
increasing the number of clusters, their influence
reffering both localization and synchronization error is
of a great importance. When no cluster is formed, energy
consumption is very large. When cluster is formed then
energy consumption reduces according to the number of
cluster. For energy efficient algorithms, clustering the
network is very important to be implemented, with an
optimal number of clusters in the network, according to
the optimizing methods. Implementing these solutions, at
particular point energy consumption is minimal for a
particular number of a cluster. A clustered WSN is
superior from the point of view of energy efficiency.
Also, other methods that influence the energy efficiency
in the WSNs can be discussed. A set of simulations will be presented to
evaluate the performance of presented solutions.
Presented approaches are energy
efficient, they reduce communication and processing
resources, saving energy and network resources,
prolonging the sensor networks lifetime
Stream 5
"Computational Intelligence and its
Applications" by Tarek Helmy
helmy@kfupm.edu.sa
[Information and Computer Science Department,
KFUPM, KSA] and Anifowose Fatai
anifowo@kfupm.edu.sa [Center
of Petroleum and Minerals, KFUPM, KSA]
This special
session will bring together top researchers,
practitioners, and students from around the world to
discuss the latest advances in the field of
Computational Intelligence and its application to
real-world problems in software engineering, power
control systems and methods of optimization, petroleum
engineering, bioinformatics, chemical informatics,
bioengineering and related fields. Computational
Intelligence (CI) techniques including but not limited
to artificial neural networks, fuzzy logic, evolutionary
algorithms, ant colony optimization, particle swarm
optimization, support vector machines, genetic
algorithms, functional networks, and especially hybrid
of various techniques. The use of computational
intelligence must play a substantial role in submitted
papers. Submissions will be peer reviewed and accepted
papers will be published in the conference proceedings
and will be index in IEEE Explore, Thomson Reuters of
ISI and SCOPUS
Topics:
We encourage
submission of papers on novel and modified hybrids and
ensembles of intelligent and machine learning techniques
for real-world problems including but not limited to:
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Power
system applications i.e. planning, designing,
distributing, operating, monitoring, etc.
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Analysis of
large bioinformatics data sets
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Soft
computing and computational intelligent techniques for
petroleum engineering tasks such as reservoir
characterization, gas components predictions, etc.
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Fuzzy and
hybrid optimization
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Evolutionary algorithm
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Biological
and medical Ontology
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Medical
image analysis and pattern recognition
Stream 6
"Heuristics Optimization" by Niaz
Ahmed Wassan
n.a.wassan@kent.ac.uk
[Business School, University of Kent, Canterbury, UK]
Heuristics Optimization methods have been
very successful in tackling variety of optimization
problems in areas such as Industry, Business, Logistics,
Computer Science, Engineering, Government etc. For this
special session we are inviting papers contributing to
methodological developments and successful
implementations of Heuristics Metaheuristics and their
hybrids. Special emphasis is on Logistics and Supply
Chains but other implementations will also be
considered.
Stream 7
"Design and Application of Shipbuilding
Parts" by Jeongju Choi
jchoi72@dau.ac.kr
[Korea]
This special session will bring together
top researchers, practitioners and students from around
the world to discuss the latest advances in the field of
the design and application of valves, fitting,
structure, rudder assembly, crane and shipbuilding
parts, and related fields. The topic of submitted paper
must be discussed about a shipbuilding parts.
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