Project Esculape
The purpose of this project is to
develop a system to collect and verify in real-time statistical indicators
using Internet and JAVA. Statistics from pilot countries (CCE/NIS) to be
transferred to international organizations will be selected and classified
together with standard indicators.
The system should be able to collect
and verify statistical indicators in the following domains: Population dynamics, nutrition, infectious
agents, genetic evolution and adaptation, physical environment, social and
economical environment, education and life style, medical care, diseases. These
domains are often referred to as the variables of public health.
The indicators are the statistical
indicators used in the following International Organizations: UN, World Bank,
IMF, OECD, FAO, ILO, WHO, WMO, UNIDO, UNESCO, OMC, EUROSTAT.
The general objectives are:
-
To create a simple and secure system to collect and verify, in real time,
statistical data from countries to international organizations. We will use internet and advanced
technologies like JAVA, CORBA, and artificial intelligence.
-
To help developing countries learn about the standard indicators used in
international organizations to measure, among others, economic, social, and health
evolution by creating a classification for these indicators and an internet
accessible knowledge base.
-
To lower transfer cost of statistics from countries to international
organizations.
-
To simplify, in the future, statistical data integration in the given subjects
by creating a codification of standard indicators.
-
To speed up statistical knowledge diffusion by developing a real-time collection methodology using Internet and artificial intelligence.
-
To simplify the work of researchers, economists, epidemiologists, consultants,
etc. by identifying, locating, and classifying all standard indicators
available for their research.
We propose to create an
international classification (codification) of standard indicators and to
gather knowledge, independent of countries, on these indicators. This codification will guide us in codifying
the specific selected country indicators which we want to collect with the
system. The resulting codification will
help create our system which consists of two main parts: a contribution system
and a control system. The contribution
interface will allow statisticians to enter data relative to the indicators
they want to send to the international organizations, and will format and
secure a proper message before sending it to various control systems located in
target international organizations. The
control system will decode the message and check the accuracy of the statistics
sent. It will acknowledge the sender of its decision. If the data is correct, it will be forwarded to the local
databases. If not, an error message
will be sent back to the sender and a special procedure will take place.
As the project is linked to several research topics,
we present a brief overview of the current state of knowledge in each area
including ways to collect statistical data, harmonization process and data
integration, and public health
variables.
A large number of methods are used by international
organizations to collect national data, from simple paper sheets to complicated
network applications using standard EDI messages. To obtain a good quality data international organizations like
Eurostat recommend centralizing the data at the national level, verifying it
and then putting it in a system which will format the proper EDI messages
before sending them via a computer network to the international organizations. Since sometimes the same data is needed in
different organizations like Eurostat, the OECD, IMF or World Bank, a specific
organization has been set up in order to have the work done only once in the
country of origin. For example,
Eurostat can send data that it has collected to the OECD which in turn can
integrate them, and then send a wider range of data to other organizations in
the USA.
In an unpublished article, « Presentation of a system
to collect and distribute statistical indicators... », 1997, Pierre
Genevier compares the problem of collecting financial rates to the problem of
collecting statistical data. He
recommends creating a codification of all standard indicators and a knowledge
base for these indicators in order to design a unique real-time collection
system, based on internet, for all international organizations, and to
facilitate data transfer and integration.
He also describes solutions which have already been implemented in
financial markets to different subproblems.
EBES EEG6-Statistics, a group of expert in the field,
which defined several EDIFACT norms to transfer statistical data, described in
their « GESMES/ECOSER User guide 1995 » (Eurostat), the following
future processes of harmonization for
economical data:
1) Recommendation of a list of standard indicators
2) Standardization of concepts, names, and calculation
methods
3) Unique codification and identification of this
concepts
4) Agreement on responsible organization for the
maintenance of indicators
We agree on these recommendations, but in order to
improve integration of data between different domains, we suggest going beyond
the sphere of economical data and applying the same recommendations to a
greater number of topics.
We recall two important steps in the harmonization
process: ICD, International Classification of Diseases, (end of last century)
and SNA, System of National Accounting, (1993).
A series of articles published in the Oxford Textbook
of Public Health, (1991), describe the different relations between the above
listed domains and public health. Here
we cite just the titles of the articles.
William Brass, « Population dynamics ». J.S. Garrow, « Nutrition ». A. S. Monto, G. I. Higashi, et C. F. Marrs,
« Infectious Agents ». A.
Allison, « Genetic evolution and
adaptation ». Michio
Hashimoto, « Physical
environment ». Nicky Hart,
« The social and economic environment and human health ». Lawrence green and Denise
Simons-Morton, « Education and
life style ». M. Hobbs et K. Jamrozik,
« Medical care and Public health ».
A classification and database of indicators related to
public health have been implemented at the OECD, by the Health Politics
unit. The number of indicators studied
is about 800, limited to OECD member
countries.
Description
of the research objectives, use measurable (quantitative) terms as far as
possible.
The general objectives are:
- To
create a simple and secure system to collect and verify, in real time,
statistical data from countries to international organizations. The system will be based on the internet and
advanced technologies JAVA, CORBA, and artificial intelligence.
- To
help developing countries learn about the standard indicators used in
international organizations to measure among others, economic, social, and
health evolution by creating a classification for these indicators and an
internet accessible knowledge base.
- To
lower transfer cost of statistics from countries to International
organizations.
- To
simplify, in the future, statistical data integration in the given subjects by
creating a codification of standard indicators.
- To
speed up statistical knowledge diffusion by developing a real-time collection methodology using Internet and artificial intelligence.
- To
simplify the work of researchers, economists, epidemiologists, consultants,
etc. by identifying, locating, and classifying all standard indicators
available for their research.
- To
create a methodology (and an associated pilot system for CCE/NIS partner
countries) to collect and verify, in real-time, statistical indicators. The real-time collection is made possible
with Internet, its associated technologies, and artificial intelligence.
- To create a unique
codification or international classification (code and list) of all statistical
standard indicators in the given subjects which are used in international
organizations - including both industrialized and developing country indicators
- and a knowledge base for these
indicators.
Researchers often refer to the above listed domains as
the variables of public health.
However, we will not limit our classification to indicators which have a
known relation to public health. We
will classify all indicators used in every domain.
- To
develop a system which is independent of country and international organization
information systems, platforms, and database systems, and can collect any kind
of statistical data and ‘metadata’.
We want to use, as much as possible, advanced
technologies, international standards and norms like EDI, 3-tier architecture,
middleware CORBA, and JAVA.
The contribution to fundamental sciences such as
demography, economy, nutrition, geography, medicine, sociology is difficult to
quantify. However, we estimate that
identifying, locating, classifying all standard indicators and making knowledge
for these indicators available will simplify the research work of all
scientists in the given fields, making this a significant contribution to these
fundamental sciences.
The contribution to the field of computer science and
in particular information systems is also significant, although similar systems
have already been implemented in the private sector at very high cost. Private networks, like the Reuters network,
have given us the possibility of creating such information systems. Now with the use of internet and its
associated technologies, we can design and implement a world wide information
system at a very low cost. Exploitation
costs are also very low because transfer is ‘free’ with internet.
The project is related to the following underlying
themes of this year’s call for proposal:
- It
contributes to the involvement of CCE/NIS in the Global Information Society
because the idea of the project is to create one system for all international
organizations using the global network Internet. The system will be developed by CCE/NIS partners.
- It follows
the recommendations of the September 1996 EU/CCE Prague action plan, which
describe the importance of developing the capability of exchanging data with
other administrations. The system will
facilitate the exchange of data with international organizations, but it could
also be used within the country to exchange statistical data.
- A great
deal of knowledge on statistical indicators will be gathered. This knowledge
will then be stored and made available through Internet for all
researchers. Therefore, we will work on
the development of a research network.
- The
specific topics for this year ‘Information Access’ and ‘Interface’ are also
part of the project. We will facilitate
access to ‘metadata’ and will develop a contribution interface.
- We also
have in our consortium the industry participation, with SMEs in Poland and EU.
We believe the project should be financed because it
will be useful for international and national organizations which exchange
statistical indicators. It will also be
useful to a large number of scientists who will be able to refer to the
knowledge we had gathered.
Many data collection techniques are used by
international organizations, but most of the advanced techniques are reserved
for specific indicators which are collected more often (mostly economical
data). Here we will give an advanced
collection technique to departments or organizations which must collect their
data by diskette or e-mail.
The cooperation of international organizations to
acquire some of the knowledge and information on indicators would facilitate
our work, since the EU (or at least member countries) is part of every
organization mentioned, we believe that the EU financing and the objective of
the project designed to simplify the transfer of data would justify the
cooperation we suggest.
- The
creation of a list and codification of
standard indicators for all organizations, countries, and given domains is an
innovation which will facilitate statistical data transfer and integration
world wide.
- The
use of Internet and its associated technologies allows us to create a unique
system for all national and international organizations. A unique input could lead to several output
messages, for example, the same data could be sent to different international
organizations or even another entity of the national producer on
intranets. This will be an innovation
and alternative to some present solutions which consists of sending data to a specific organization which sends
it to other organizations. As mentioned
earlier, Eurostat transmits data to OECD which in turn transmits it to USA.
The approach
The
global approach which consists of creating a general classification or
codification for all international organizations and countries is justified by
the use of the global internet network.
Every organization is linked by the same network, Internet, therefore if
we use this network as the primary technology for our information system, we
can create a unique system for all organizations. This means that we can develop a system for a larger number of
users, and thereby obtain a better cost/user ratio. Communication costs are lower with Internet, and some Internet
technologies are still cheaper like browsers, for example.
The use of an expert system to verify data in real
time allows us to speed up processing of the information. Often data is first centralized to be
verified within the country and then formatted before being transferred. The expert system will allow us to eliminate
the time consuming verification phase.
Sub-projects
The project has 3 sub-projects:
1)
The creation of the international classification (list and codification) of
standard indicators for all countries, international organizations and listed
domains, the gathering of knowledge,
independent from countries, on these indicators, and the codification of
specific country indicators to be transferred to international organization and
the gathering of knowledge on these indicators.
2)
The design and implementation of an expert system to control the accuracy of
incoming data. Expert rules and
knowledge will be stored in two knowledge bases, one on standard indicators and
one on selected indicators which are collected in specific partner
countries. The control system will use
the two knowledge bases containing rules given by specialists.
3)
The design and implementation of a unique contribution interface to enter all
types of statistical indicators using JAVA and Internet. The design of a transfer and security
system.
The requirements
As statisticians often work with spreadsheets (like
Excel) or databases, it is essential to develop a user-friendly interface which
allows drag and drop, copy/paste, DDE link
from spreadsheet to interface.
The interface will create a message depending on the type of the
indicators. It will crypt (secure) the
message and send it to several control systems placed in various international
organizations. The control system will
decode the message, control accuracy of data and send back an acknowledgment
(good or bad depending on the expert system decision). Few other functions should be handled by the
interface.
Classification of indicators and acquisition of
knowledge
To
create the codification and to gather knowledge we will:
- Make a list of
industrialized and developing country indicators used by international
organizations.
-
Identify standard indicators, types of indicators, and calculation methodology.
-
Identify, if applicable, similar indicators with different names, intermediate
indicators used to calculate standard indicators, indictors with the same name
but different meanings.
-
Create a list and codification of all standard indicators for all countries and
domains listed (estimation < 10000).
-
Attach to the list the main knowledge on this indicators independent of
countries.
-
Simultaneously, make a list of selected country indicators which international
organizations would like to collect with the system, and which we want to
include in our pilot system, differentiate standard and intermediate
indicators, and codify them in relation to the standard indicators
codification. Gather main knowledge on this indicators.
To acquire knowledge we will use a large variety of
sources: interview with experts, books, research reports, technical reports,
project sponsors, end users, operational managers, conference proceedings, case
libraries, reference manuals.
Main technologies
Architecture 3-Tier.
This
architecture 3-Tier is more appropriate than the client/server architecture for
our problem because the logic of the expert system is very complex and because
we want to create an evolvable systems.
It brings us many advantages:
-
Separation between the IHM and the process.
-
Possibility to support client JAVA and non-JAVA.
- The
possibility to change database technologies or servers without changes on
client.
- A
better control of performance, because the servers are easier to upgrade than
the client, and because we can control communication between client and server.
-
Strong possibility reuse of specific objects
This architecture 3-tier offers also these advantages
with internet:
-
Better performance due to a faster protocol than Http or ODBC, and an IHM
lighter, because we leave the logic on the sever.
- A
better security handling, because the server has no restriction due to security
rules of the applets and the server can control the access to databases.
- A
lower administration cost.
JAVA.
The
language JAVA is chosen because it is a WEB technology which brings many
advantages:
- The
portability of source code, bytecode, and OS/hardware.
- The
compatibility (Java Compatibility Kit, 100% Pure Java).
- A
warranty against evolution of technology.
- Can
also be used on proprietary machines.
CORBA.
We
propose to use CORBA because it is defined by the OMG (More than 700
members). It is the standard for
interoperability of objects:
-
Supports different language.
-
Supports different platforms.
- and network communication.
Corba makes no difference between local or distant
objects.
UML.
UML
is often referred to as the method which will replace the Booch, OOSE, and OMT,
or as a synthesis of these methods. It
is now being presented to the OMG group for standardization.
EDI.
Several
standard messages for statistical data (CUSDEC/INTAT, GESMES, CLASET, RDRMES)
have been designed by different groups to normalize transfer of data between
organizations. We want to make use of,
as much as possible, the structure of these messages.
Tools and equipment
We will need a special tool for the expert
system. The choice of this tool will be
made after the specification. To
program the interface we can choose from various systems. At this point, we prefer Visibroker for
JAVA, CORBA 2.0 ORB, over Microsoft solutions or other ORBs.
We will also buy two NT stations, and a
visio-conference system for each partner.
These equipment expenditures are mentioned in the A2 costs list.
In
this section, we split the main tasks of each partner, starting with the three
EU partners who will work on the classification and knowledge acquisition in
close relation with international organizations. The three CCE/NIS partners will work on the implementation of the
different systems.
Partner 1.
Pierre Genevier , France, EU
1) Would be in charge, with partner, 2 and 3, of
creating the list and codification (or classification international) of
standard indicators. He would be responsible, in particular, for the study of
indicators produced by the following organizations: OECD, FAO, WHO, UNESCO.
2) Would also participate in the specifications and
design of the sub-systems contribution interface and expert system with
partners 4, 5 and 6.
3) Would acquire knowledge about standard indicators
and selected indicators produced and received by its given organizations.
4) Would test knowledge and assist users of its given
organizations in the first phase of exploitation.
Partner 2.
MetaDynamics Ltd, England, EU
1) Would be in charge, with partner 1 and 3 of
creating the list and codification (or classification international) of
standard indicators. He would be
responsible in particular for the study of indicators produced by the following
organizations World Bank, IMF, UNIDO, OMC.
2) Would
participate in the specifications and design of the sub-systems transfer
and expert system with partners 4, 5 and 6.
3) Would acquire knowledge about standard indicators
and selected indicators produced or received by its given organizations.
4) Would test knowledge and assist users of its given
organizations in the first phase of exploitation.
Partner 3.
Aristotle University, Greece, EU
1) Would be in charge with partner 1 and 2 of creating
the list and codification (or classification international) of standard
indicators. He would be responsible in
particular for the study of indicators produced by the following organizations
UN, EUROSTAT, ILO, WMO.
2) Would participate in the specifications and design
of the sub-system security and expert system with partner 4, 5 and 6.
3) Would acquire knowledge about standard indicators
and selected indicators produced or received by its given organizations. Would be specially in charge of charge of
the gathering of knowledge on selected country indicators to be collected with
the system. (Partner 3 will put three years in the project in comparison with
one year for 1 and 2).
4) Would test knowledge and assist users of its given
organizations in first phase of exploitation.
Partner 4.
Arkus Electronics, Poland
1) Would be in charge of designing and
implementing the expert system
(standard and selected country indicators) which controls incoming data. This includes the inference engine, various
interfaces, the cache system to receive data, and the knowledge bases on
indicators.
2) Would assist users in the first phase of
exploitation.
Partner 5. Y University of Rousse, Bulgaria,
Scientific coordinator.
1) Would be in charge of designing and implementing
the contribution interface using JAVA.
Several possible masks depending of the type of indicators and metadata
to be entered would be developed, as well as specific functions (drag and drop,
DDE links, copy/paste, etc.).
2) Would be in charge of designing the transfer and
security systems, i.e. designing the security architecture (firewalls),
choosing cryptographic systems, implementing the structure of message to be
used for different indicators and metadata as well as appropriate
protocols.
3) Would assist users in the first phase of
exploitation.
Partner 6.
Institute for Informatics and Automation Problems, National Academy of Sciences, Armenia.
1) Would write specifications of the different sub-systems, the control
system, the contribution interface, and security and transfer systems.
2) Would participate in the analysis and design phase
of these systems with partners 5 and 4.
3) Would test the different applications.
4) Would adapt the interface to the country.
Partners 1, 2 and 3, responsible for the sub-project
1(classification), will be in frequent contact with international
organizations, and therefore, they will assist partner 6 for the specifications
of the systems. They will conduct a
user needs assessment. Aristotle
University will work also on the selected country indicators which should be
collected at first by the system.
Aristotle University team will collect the specific knowledge for these
indicators.
Partner 4, responsible for the sub-project 2 (control
system), will work closely with partner 5, responsible for sub-project 3
(contribution).
Partner 6, responsible for the specifications of all
systems, will act as technical project leader and assist partners, 4 and 5 in
the analysis and design of the systems, as well as the testing. He will liaise with various normalization
groups to make sure that the system conforms to international standard norms.
As coordination is a very important part of the
project, a significant part of the budget is reserved for traveling. Every international organization will be
visited at least once within the three years of the project. On-site discussion and visits with end
users, managers and experts will also take place.
We will agree on a set of indicators that should be
transferred by the system (not more than
20 000 at first for all organizations) and on a set of basic
requirements for both the contribution and control systems. The work associated with the requirements
should not exceed the work time allocated for the project. We have planned enough time to implement a
feasible and friendly user solution (pilot system).
The acquisition of
knowledge on standard and selected statistical indicators will be done
in cooperation with the information bureau, statistics division, and specific
users of each international
organizations. The amount of knowledge we could gather being almost
infinite, we will also have to agree on a reasonable amount of knowledge to be
acquired.
Eu partners will be in frequent contact with
users. As they are responsible for
knowledge acquisition, they will have to transmit the knowledge gained
during their work to CCE/NIS partners
who will then create an appropriate system.
Possible synergy between the work of certain
international organizations and our work should be identified as soon as
possible for the mutual benefit of all parties concerned.
A monthly report will be written by a different
partner every month to ensure effective communication. This report will contain follow-up on the
work done, will justify eventual delays with respect to the planning. All communications will be issued in
English.
Scientific exchange will take place during the
coordination meeting. All partners will
be responsible for presenting the
technological evolution in their research field. These exchanges are particularly important in an environment like
Internet where new technologies continuously arise.
Four coordination meetings are planned where each
partner will present a summary of the work done. These meetings will take place after 6 , 12, 21, and 30
months. The dates and places will be
determined according to the partner schedules.
Work meetings may take place between partners if
needed. This will depend on the
attribution of specific tasks. The
training of users will be done by the partners.
Work meetings will take place every fifteen days
through a visio-conference system using Internet. The visio-conferences will also facilitate communication and
allows unplanned meetings on special topics.
The coordinator has several years experience in the
fields of software development, information systems and statistics. For the past few years, he has conducted the
research which motivates the project, found the partners and set up the project
proposal.
He will organize coordination meetings, will be in
contact with the European commission, and oversee project progress.
See on the previous
page, diagram 1.
Cooperation activities are the following. CCE/NIS partner will develop a system for
international organizations. These same
international organizations will cooperate by giving some of their knowledge to
make the system more efficient. EU
partners will act as an interface between CCE/NIS and international
organizations. They will have frequent
contact with both sides and should understand the needs and limits associated
with both functions. These cooperative
activities would be financed by the European Commission.
The three CCE/NIS partners will also have to cooperate
actively with each other because the two systems are linked and they must
follow standard international recommendations.
Partner 6 in charge of specification will answer for the quality of the
system.
The three EU partners will also have to cooperate with
each other to produce the international classification of standard indicators,
to identify same indicators used in different organizations, and to combine
their research.
As far as the financial transactions are concerned, we
plan to have a special bank account in ECU for the project which would allow us
to follow the spending more accurately.
The European Commission could transfer the project money to this account
and then the money would be dispersed to the partners. Labor costs could be paid out twice a year,
while specific spending, like equipment would be withdrawn when needed. The project coordinator will maintain a
project expenses book. Every six
months, a summary of expenses would be prepared and discussed with the EU
coordinator.
Indicate the results and achievements which are
expected and mention the ways how the project activities and results will be
disseminated, including foreseen seminars and publications.
The real-time statistical indicators collection system
The first expected result is to have a system to
collect statistical data. Since we will
work with the main international organizations, they will be informed of our
project and the expected result. The
contribution interface will be translated to the various languages used in
CCE/NIS region at first.
The international classification of standard
indicators
The second result is to have a classification and
knowledge on standard indicators. We
will disseminate these results through internet by creating an internet
interface to our expert system. This
system will be given to the body responsible for coordinating statistical work
between international organizations.
More knowledge can be gathered and the control system efficiency can be improved through accompanying
measures or additional projects.
Finally, we should write several papers, one
concerning the entire project, and one for each sub-project.
Pierre
Genevier
53 Rue de L’Amiral Mouchez
75013
Paris
France
Tel.
& fax:(33) 01 45 81 31 42
e-mail:
PGenevier@wanadoo.fr
Professional Experience
Dow Jones Telerate France, Paris 96
Worked on contribution problems.
(project ‘Focus France’)
Reuters AG, Munich, Germany 94-96
Worked on the project Dedis
(Hypobank, Munich) for the development of RIDS (Reuters Internal Dealing
System) and KOUGAR (Cross rates calculator and rates server) applications.
Department of Essonne, Evry, France 91-93
Coordinated several projects.
Schwarzkopf, Poitiers, France 89-91
Responsible for applications in
marketing, sales, accounting, logistics, finance,
purchasing. Managed the data processing team.
Schwarzkopf, Paris 87-89
Preparation of monthly marketing and sales statistics.
Clemson university 85-87
Taught mathematics to 1st and 2nd year students.
Education
81-82 Northwestern State University
(Louisiana, USA)
83-85 Bachelor
of Science in Mathematics and Computer Sciences.
Member
of the Phi Kappa Phi honor society.
82-83 Military
service.
85-87 Clemson University (South Carolina,
USA)
Master
of Science in Mathematical Sciences.
91-92 Conservatoire National Des Arts et Métiers (Paris)
Business
Classes: Financial analysis, financial
products and markets, long and
short
term financing.
Languages and Publications
French:
Native language.
English: Fluent.
German:
Working knowledge.
Co-authored
two articles on a scheduling problem in American journals, 1989 and 1991.
Researched
(1993-1997) and wrote an article (unpublished) on a statistical data
integration problem 1997. Project
proposal to the INCO-COPERNICUS program.
MetaDynamics Ltd, England.
MetaDynamics is committed to assisting organizations
in reaching their maximum
advantage. We specialize in the analysis of complex
operational problems and
provide solutions which increase the efficiency and
effectiveness of
operations. To do this, we tackle problem areas
through a scientific approach
known as Operational Research.
MetaDynamics, through its international world class
professionals, provides
the best skills, the latest information systems to
handle the most complex
problems, and the training required to enable our
clients to use the
Operational Research Team's unique solutions to
maximize their advantage.
MetaDynamics specializes in maximizing the efficiency
and effectiveness of
operations within organizations. It achieves this
through its exclusive team
of specialists - the Operational Research Team - who
are professionals in
providing optimal solutions to the client/client
company.
MetaDynamics:
Undertakes initial investigations into the functional
area which is
under-performing as well as a complete review of other
areas which may be
affected - thereby assisting management with the
formulation of the problem.
Designs the proposed solution method given the
quantitative and qualitative
constraints and subjective elements involved.
Provides, if required, the relevant information
systems technology which will
produce the most advantageous solution, manage the new
system and thereby
enable the client to continue achieving the desired
results.
Advises the client on implementation and maintenance
of the solution.
MetaDynamics provides a wide spectrum of services,
some of which include:
•Advanced Statistical Analysis
•Risk Analysis and the Management of Risk
•Combinatorial Optimization
•Corporate Restructuring
•Decision Analysis & Resource Allocation Analysis
•Material Requirements Planning
•Production Planning
•Advanced Stock Control
•Analysis & Design of Information Systems
•Computerised Operations Simulations
•Strategic Consulting & Problem Structuring
•Software Design
•Financial Portfolio Optimization
•Forecasting
•Software Engineering
•Neural Networks & Artificial Intelligence
Researcher
assigned to the project.
Phokion S.
Georgiou BBA MSc
Director
Education
& Professional Experience
Mr. Georgiou's education spanned three continents, culminating with a Bachelor in Business
Administration from the University of Missouri and a Master of Science degree in Operational Research from the London School of
Economics.
In 1988 he took up
residency in London and began a
successful career which focused on
analyzing, designing and managing processes of change within large corporations, namely
Hilton International,
General Electric, the Government
of The United Kingdom and Grand Metropolitan.
His work tackled a broad spectrum of corporate and
organizational needs some of which included the design of efficiency indicators, the effective turnaround of problematic joint
ventures, and the assessment of corporate cultures and their effectiveness on
shareholder value. He is currently
involved in enhancing the Decision and
Organizational Processes of the London
Metropolitan Police.
Whilst maintaining full time employment, Mr. Georgiou
graduated in 1993 with top results from the University of London's Qualifying
Course in Operational Research and was offered a place on the Masters program at the London School of Economics.
He graduated from the LSE in 1995 with an MSc in Operational Research, specializing
in strategic approaches to problem solving, namely System Dynamics and Problem
Structuring Methods. He also specializes in Experimental Design, Advanced
Statistical Analysis, Spreadsheet Modeling and Database Design. Mr. Georgiou's
extensive project management skills have been used successfully in organizing
European, national and commercial projects.
Mr. Georgiou maintains strong links with the LSE. He lectures at the School in Operational Research as well
as participates in research/consultancy projects. He is a member of the Operational Research Society, the
international body at the forefront of Operational Research applications, and
is also involved in designing Internet Web Sites to further the dissemination
of Operational Research. He speaks
several European languages and has lived throughout Africa, Europe and the
United States.
In 1996, Mr. Georgiou formed MetaDynamics.
Aristotle University, Greece.
The Aristotle University of Thessaloniki is the
largest University of
Greece. Our expert team comprises of statisticians,
economists,
mathematicians information systems analysts and
experts in the business
restructuring area. We have provided consultancy
services to a large
number of small and medium enterprises in Greece and
developed our
training activities to a large extent.
The Aristotle University of Thessaloniki (AUTH) during
the last six
years has started with considerable success a very
ambitious informatics
and communication development program facing problems
such as
introduction, acceptance and development of new
technologies. The
objective is to achieve the maximum positive influence
towards the
change of social and economic structure.
The Economics and Business Administration Department
of the University
has as basic aim the study of strategic and financial
problems that are
concerning most of the industry sector in Greece. Some
of the academic
staff have a recognized consulting reputation and they
are often
confronted with problems of this nature.
The Highway Engineering Laboratory has a primary
orientation the study
of transport related problems. The majority of the
scientific staff is
planners or engineers. The Laboratory co-operates with
various Greek and
foreign organizations in studies and research projects
in Greece and
abroad.
b) Consultancy to Industry
For many years the Aristotle University of
Thessaloniki has worked
closely with many sectors of Industry and Commerce to
mutual benefit.
This has often taken the form of joint research
projects. However, the
University also provides consultancy to Industry and
Commerce, making
its expert staff and specialist facilities available
on a commercial
basis.
A consultancy contract can involve a feasibility
study, new product
development, optimization and cost reduction, problem
solving, modeling
and technology transfer. Contracts can vary in size.
They can range from
a major study involving all stages of analysis, design
and manufacture
and perhaps involving several people for a year or
more, to running a
specialist bespoke course for a single company lasting
one week. A
contract can be as small as one person working for
half a day providing
expert advice.
All the departments can act this way, however some of
them have taken
the step of creating special units (Laboratories,
Centers) and contact
points. Many of these units have been in operation for
well over ten
years and have considerable experience of working with
industry and
commerce and have an excellent reputation with their
customers. Some of
them have been recognized as Centers of Excellence.
Researchers
assigned to the project.
------------------------------------------------------------------------
Professor
Grigorios Tsagas
------------------------------------------------------------------------
Born 1 9 3 5, V l a s t i, K o z a n i, Greece.
Married, name of wife Julie.
Four children, Dianna, Sandy, Georgina, Mark.
E d
u c a t i o n
1963-1965
Ph.D. with top honors
(Differential Geometry), Aristotle University of Thessaloniki, Thessaloniki. Greece.
1955-1960
Diploma in Mathematics
with top honors.
Aristotle University of Thessaloniki, Thessaloniki, Greece.
E m
p l o y m e n t
1976-now
Full Professor, Department of
Mathematics, School of Technology, University of Thessaloniki, Thessaloniki, Greece
(elected unanimous).
1970-1975
Full Professor, Department
of Mathematics, University of Patras,
Greece (elected unanimous).
1969-1970
Research Associate, Department of Mathematics, University of Bonn, Germany.
1968-1969
Lecturer, Department of
Mathematics, University of Thessaloniki, Thessaloniki, Greece.
1966-1968
Research Associate, Department of Mathematics,
University of California Berkeley,
California, U.S.A.
1963-1966
Teaching and Research
Assistant, Department of Mathematics, University of Thessaloniki, Thessaloniki,
Greece.
E u
r o p e a n p r o j e c t s e x p e r i e n c e
1997 onwards
Coordinator of the of the INTAS
European Union sponsored
project: «Concurrent
heuristics in data analysis and prediction». This operational research project
involves the cooperation between Greece, UK, Spain, Russia and Armenia. 1997 onwards Partner in the MEDCAMPUS
European Commission
Initiative. This European Union
programme involves U.K., Greece, Turkey and Cyprus and
deals with the training of local
authorities on financial and political decisions.
1996
Co-ordinator of the EU-sponsored "Business
Administration"
training programme for Greek immigrants from the ex-Soviet Union. 1995
a)Partner in the MEDCAMPUS
European Commission
Initiative. This European Union programme involves
U.K., Greece, Turkey and Cyprus
and deals with
the training of local
authorities on financial and political decisions.
b)Co-ordinator
of the EU-sponsored "PROJECT MANAGEMENT" training
programme.
c)Co-ordinator
of the EU-sponsored "Use of information technology in
graphical environment" training programme.
1992-1993
Co-ordinator of the following EU-sponsored training programmes:
a)"Econometrics, Mathematics
of Operational Research
and Systems
Analysis with the use of Information Technology".
b)"Training of unemployed women in Business Administration".
c)"Training of personnel in order to cope with the problems of the
old-age".
d)"Co-operation
between Enterprises and
Universities: Training in
CAD-CAM and business administration"
e)"Graduate training in
Business Administration,
Marketing, Economics and how
to organise and
manage effectively small and medium enterprises".
1991-1992
Co-ordinator of the
EU - sponsored programme
"Econometrics, Mathematics of Operational
Research and Systems Analysis
with the use of Information Technology".
A w
a r d s
1.
Visiting Professor, University of Thessalia, Volos, Greece, 1990-1993.
2.
Visiting Professor, University of Dortmund, Germany, 1986-1987.
3.
Visiting Research Fellow, University
of Melbourne, Australia, July-October 1984.
4.
Visiting Professor, University of Thrace, Xanthi, Greece, 1975-1977.
5.
Visiting Mathematician, Department of Mathematics, University of
California, Berkeley, California,
U.S.A September-October 1974.
6.
Visiting Professor, University of Minnesota, Minneapolis. July-August
1974.
7.
Research Associate, University of Bonn, Germany, 1969-1970.
8.
N.A.T.O. Research fellowship, Berkeley, California, U.S.A. 1966-1968.
R e
f e r e e
1.
Bulletin of the Greek Mathematical Society.
2.
Mathematica Balkanica.
3.
Proceedings of the American Mathematical Society.
M e
m b e r s h i p
1.
American Mathematical Society.
2. Greek
Mathematical Society.
3. Tensor
Society
R e
v i e w e r
1.
Mathematical Reviews
2.
Zentralblatt fur Mathematik
O f
f i c i a l P o s i t i o n s
1. Member
of the Research Committee of A.U.T.
2. Member
of the Senate for the New Technical University of Crete, 1977-1981.
3. Dean of
the School of Technology, University of Thessaloniki, 1979-1980.
4. Senator
of the University of Thessaloniki, 1978-1979.
P u
b l i c a t i o n s
1. 210
Scientific papers.
2. 32
Scientific books.
O t
h e r U n i v e r s i t y a c t i v i t i e s
1. Invited
and participated in
more than 150
University Congresses and gave
conference talk.
2.
Supervised 16 Doctor degrees (Ph.D’s) Thesis and participated as an
examiner to others (3 of them abroad).
3. Editor
of International Conferences’s Proceedings.
J o
u r n a l E d i t o r
1.
Algebras, Groups and Geometries.
C o
n g r e s s O r g a n i z e r
1.
International workshops a)
"Differential Geometry, Global Analysis and Lie Algebras"
and b) Mathematics and Aristoteles, Thessaloniki 1997
2.
International workshop "Differential Geometry, Global
Analysis and Lie Algebras", Thessaloniki 1996.
3.
International workshop "Differential Geometry, Global
Analysis and Lie Algebras", Thessaloniki 1995.
4.
International workshop "Differential Geometry, Global
Analysis and Lie
Algebras", Thessaloniki 1994.
5.
International workshop "Differential Geometry, Global
Analysis and Lie Algebras", Thessaloniki 1993.
6.
International workshop "Differential Geometry and Global
Analysis", Thessaloniki
1992.
7.
International workshop "Lie
Groups, Lie Algebras
and their
Applications", Thessaloniki 1991.
8.
International Congress by UNESKO "Applications of Mathematics
in Socio- Economic Development",
Thessaloniki 1980.
9. International
Congress by UNESKO "Applied Mathematics" Thessaloniki 1976.
10.
International Congress to the Honour of Professor Karatheodori, Athens
1972.
11.
International Mathematical Congress in Patra, Greece 1971.
P r
o c e e d i n g s
1.
International workshops a)
"Differential Geometry, Global Analysis and Lie Algebras"
and b) Mathematics and Aristoteles, Thessaloniki 1997
2.
International workshop "Differential Geometry, Global
Analysis and Lie Algebras", Thessaloniki 1996.
3.
International workshop "Differential Geometry, Global
Analysis and Lie Algebras", Thessaloniki 1995.
4.
International workshop "Differential Geometry, Global
Analysis and Lie Algebras", Thessaloniki 1994.
5.
International workshop "Differential Geometry, Global
Analysis and Lie Algebras",
Thessaloniki 1993.
6.
International Congress in
"Applications ofMathematics
in Socio-Economic
Development", Thessaloniki 1980.
7.
International Congress in "Applied Mathematics", Thessaloniki
1976.
8.
International Congress to the Honour of Professor Karatheodori, 1972.
------------------------------------------------------------------------
Spyros
Kiartzis Research Associate
------------------------------------------------------------------------
SPYROS J. KIARTZIS
Dipl. Electr. Engineer
( December 1996 )
10 Arionos Str.
543 51 Thessaloniki
email: kiartzis@amphipolis.ee.auth.gr
PERSONAL
DATA
Date of Birth
29 January 1969
Place of Birth Thessaloniki, Greece
Family Status Single
Citizenship Greek
EDUCATION
1987-1992
Aristotle University of Thessaloniki, Diploma in Electrical
Engineering. (GPA = 7.2 / 10.0).
Summer 1988
Summer School on Chaos and Nonlinear Dynamic Systems, Aegean
University, Samos.
October 1992
Ph.D. Candidate in Dept. of Electrical and Computer
Engineering, Aristotle University of Thessaloniki.
Dissertation Title: "Artificial Intelligence Applications in Power
Systems". Directed byProf. A. G. Bakirtzis.
March 1992 Student in Department of Economics, School of
Law and
Economics, Aristotle University of Thessaloniki.
EMPLOYMENT
HISTORY
· research associate, Department of Electrical and
Computer Engineering, Aristotle University of Thessaloniki, funded research
topic "Short Term Load Forecasting using Neural Networks and Fuzzy Neural
Networks", co-sponsored by the PPC and the Greek Secretary General of
Research and Technology, (10/92 - present).
· working as professional engineer in the private
sector, (11/92 -present).
· lecturer at the 2nd I.E.K. of Thessaloniki, (2/93 -
7/95).
· participated in engineering design and project
management team under Prof. P. Dokopoulos, advising the "METON. -
THESSALIKI. - NORTH HELLAS.
- N. KAMATAKIS" Consortium for the construction
of "Thessaloniki Sewage Treatment Plant", (8 - 11/95).
TEACHING
EXPERIENCE
At Aristotle Univ.:teaching assistant for the courses
of Electrical
Economy, Power Systems Fundamentals, Power Systems
Analysis and Artificial Intelligence Applications.
At 2nd I.E.K. :lecturer on topics of industrial
applications, control and measurements, circuit theory, electric machines and
power electronics theory.
PUBLICATIONS 16
papers
------------------------------------------------------------------------
Konstantinos
Kanellopoulos Research Associate
------------------------------------------------------------------------
4, G. Konstantinidi Street
Marital Status: Single
546 40 Thessaloniki, Nationality: Greek
GREECE
Mother tongue: Greek
tel: +30_31_821-328
Other languages: English , German
Date of birth: 21/04/1969
E-mail: kanelo@vergina.eng.auth.gr
Place of birth:
Thessaloniki, Greece
Military status: Financial Second Lieutenant of the
Reserve
WORK
EXPERIENCE / AFFILIATIONS
1.
Aristotle University of Thessaloniki, Greece. School of Technology,
Division of Mathematics Currently
Project Consultant under the supervision of Professor G. Tsagas. Work
involvement as a consultant in the following projects:
a)
Reinforcement of the research infrastructure of the Aristotle
University. Contract agreement: September 1 1996 - August 31 1997.
b) INTAS
project «Concurrent heuristics in data analysis and prediction».
2.
Educational Center of the Aristotle University of Thessaloniki. Lecturer in "Business
Administration". September - December 1996.
3. Export
Credit Guarantee Department, Harbour Exchange Square, Docklands, London:
Responsible for assessing the financial performance criteria under which the
Export Credits Guarantee Department is charged by the U.K. Minister of Industry
and Commerce to operate. June 1995 - September 1995.
4.
Hellenic Army (Financial Services), Thessaloniki, Greece. Responsible
for the approval of money distribution to six military units in Northern
Greece. Co-responsible for the auditing of the finance department annual
budget. January1993 - September 1994.
EDUCATION
1994-1995:
University of London, London School of Economics and Political Science
(L.S.E.): Master of Science, in "Operational Research and Information
Systems"
1988-1992:
Aristotle University of Thessaloniki, Greece, School of Science,
Department of Mathematics. BSc in Mathematics. Final Grade: (8.45 out of 10).
Awarded 3 scholarships from the National Scholarship Foundation during the first 3 years of undergraduate
studies.
PROFESSIONAL
TRAINING
1. Greek
Military School of Officers, Centre of
Training for war materials and maintenance and Centre for training in Economics
23/11/92 until 6/6/93 Experience through practice: in (Central Treasury of the
Army) 7/6/1993 until 23/10/1994.
2. Greek
Productivity Centre. September 1992 - November 1992. Topic: "Object
Oriented Programming with Pascal and
C++"
3.
Ruprecht-Karls Universität, Heidelberg, Germany. Summer 1991,
Internationaler Ferienkurs für Deutsche Sprache und Kultur.
PUBLICATIONS
/ RESEARCH WORK 5
------------------------------------------------------------------------
Charalambos
Spathis, Research Associate
------------------------------------------------------------------------
ADDRESS: Home: 17, A. Symeonidou Str., 546 39 Thessaloniki Greece, Tel.: (031 )
849416
Office: Aristotle's University, Department of
Economics Division of Business Ádministratiïn
540 06 Thessaloniki, Greece Tel.: (031 ) 996465, Fax:
(031 ) 996452
PERSONAL
DATA: Married,
three children
Date of Birth: 17/ 11 / 1960
Nationality: Greek
EDUCATION
1996 : Ph. D. Aristotle’s University of Ô
Thessaloniki, Greece, Department of Economics, Division of Business
Administration, Major Field: Management Accounting.
1995: M.A.
Aristotle's University of Thessaloniki, Greece, Department of Economics, Division of Business
Administration, Major Field: Managerial Economics.
1993: Diploma in Professional and Technical Education,
School of Thessaloniki (SELETE).
1988: B. Sc.
Aristotle’s University of Thessaloniki, Greece, Department of Economics,
Division ïf Business Administratiïn, Major Field: Economics.
1984: Diplïma
in Accounting, technical Education Institution
PROFESSIONAL
ACTIVITIES
1984 -1991 :HELLENIC STEEL Co., Accounting and Costing
Departments
1991 - today:
AGELINA" A. PAPAKONSTANTINOY INDUSTRY S.A., Accounting
Department.
1988 - today: Auditor and Financial Cïnsõltant in
various enterprises
1992 - today:
Co-ordinator in various feasibility Studies and Investments Proposals
ACADEMIC
AND OTHER EXPERIENCE
1990 - today:
Research Assistant and Instructor of Financial and Ìanagement
Accounting, Auditing, Computerised Accounting in Aristotle's University of
Thessaloniki, Greece, Department of Economics, Division of Business
Administration
1992 - today:
Assistant Professor of Accounting in Technical Education Institution
Thessaloniki
1995 -1996: Teacher of Economics in High School
Thessaloniki
1991 - today: Professor- of Accounting, Cost
Accounting, Auditing, Taxation, in Private Educational Institution of
Thessaloniki
1992 - today:
lnstructor of Business Ñlanning, Computerised Accounting in European
Training Programs
1993 -1994:
Instructor of Taxation and Auditing in Greek National Centre
ïf Public Ìanagement Thessaloniki
LANGUAGES
English, German.
PUBLICATIONS 3
papers
Arkus Electronics
History
1995-1997 |
IT project coordination and realization In
last two years the company cooperated in realization of several IT projects
for industry. It was necessary for the projects goals to provide knowledge on different subjects like artificial intelligence, data analysis and visualization, Internet, etc. |
1994 |
Establishing two software departments Dynamic growth of the company was started with its first software department, focusing on design and implementation of Artificial Intelligence based systems. In the same year Virtual Reality department was distinguished. |
1993 |
Cooperation with Technical University of
Wroclaw Initially, Arkus Electronics was founded by two Technical University graduates: Jaros³aw Adamczyk and Pawel Klonecki. They decided to continue close cooperation with the Univesisty in the field of Artificial Intelligence. |
Activities
The goal Arkus Electronics’s goal is to provide the
latest solutions in the fields of computer
aided management, production and
computer technology. The company
continuously extends its software experience into different fields of programming like industry process monitoring, finance
systems, Internet solutions. |
The European Dimension Starting from late 1994, the company established closer contacts with several EU institutions and companies. One of the results is „The European Information Technology Prize Winner 1996” award. |
Education and promotion of Artificial Intelligence In the meantime Arkus Electronics has been frequently present at international software fairs (CEBIT’95, CEBIT’96, CEBIT’97, SYSTEMS’96), where the company used to the ideas concerning Artificial Intelligence - especially Artificial Neural Networks, Genetic Algorithms and Expert Systems. |
Achievements
AI
problems |
Neural Network Simulator Orka v3.0
awarded The European IT Prize’97 Winner in Brussels |
Virtual
reality |
Project coordination &
realization for PepsiCo Int. |
Detailed
Information
Company name |
Arkus Electronics |
Executives |
Jaroslaw
Adamczyk president Pawel
Klonecki vice-president |
Business premises |
50-123
Wroclaw, ul. Olawska 2, , Poland e-mail:
arkus@arkus.wroc.pl |
Number of Employees |
45 |
|
|
Researchers
assigned to the project.
Jaroslaw
Adamczyk
Company: Arkus
Electronics
Tel.: (+48 71) 343-88-81, e-mail: jarek@arkus.wroc.pl
Present
Tasks
Since 1995 |
Project
Consultant |
Since 1994 |
Management
Director of software company |
Main
Past Professional Experience
1994-1996 |
Associated
researcher |
1992-1994 |
Management and
coordination |
1989-1991 |
Micro-processor
system designer |
Memberships
Since 1995 |
PANC (Polish
association for networking and computerization) Consultant in the field of „IT
Applications”. |
Since 1995 |
Research Team
(Wroclaw Technical University) |
Since 1993 |
Arkus
Electronics, Poland |
Achievements
and Publications
European IT Prize’96 |
Participation in coordination of „Orka” project realization (Neural
Network Simulator awarded The European IT Prize’96 Winner). |
Pepsi-cola International |
Coordination of Virtual Reality advertisement project. The realization
included software and hardware solutions. |
Conference in |
Delegate for The EU - South Africa Electronics Business Forum,
Supported by the European Commission. |
Who’s Who of Professionals |
Selection for inclusion in the 1997 edition of International Who’s Who
issued by American |
Orka 4.0 Manual |
Coordination and participation in creation of the manual for GA and
ANN computing. |
Virtual City |
Reviewing and coordination of multimedia project for municipality of
Wroclaw. |
Education
1987-1992 |
Technical
University of Wroclaw |
1983-1987 |
Secondary
school |
Languages:
English |
Good skilled, written and spoken. |
Polish |
Native language |
Marcin
Biliñski
Company: Arkus
Electronics
Education
1989-1995 |
Technical
University of Wroclaw |
1992/93 |
T.E.I.
Technical Educational Institute (Thessalonike, Greece) |
1985-1989 |
Secondary
school (XIV LO in Wroclaw named Belgian Polonia) |
Jobs
from 1.01.1994 |
Arkus
Electronics, Wroclaw Working as a programmer, software designer and
finally project manager. Among others participating in designing and
realization of „Orka ” project (Neural Network Simulator awarded The European
IT Prize’96 Winner). Specialist in filed of genetic and evolutionary
algorithms. |
from 1.02.1996 |
Technical
University of Wroclaw Working as a lecturer at Technical
Cybernetic Institute and as a scientific staff in the team dealing with „Evolutionary processes and behavior of
small populations”. |
01.08.1993-31.12.1993 |
Baza, Wroclaw |
Professional
experiences
AI problems: |
Neural Networks, Expert systems, Evolutionary algorithms |
Knowledge representation: |
Object oriented representation, Relational databases |
Programming languages: |
C/C++, Pascal, Java |
Operational Systems: |
Windows 3.1/95/NT |
Languages:
English |
Good skilled, written and spoken. |
German |
Basic level of knowledge. |
Pawel
Klonecki
Company: Arkus
Electronics
Present
Tasks
Since 1995 |
Project
Technical Manager |
Since 1994 |
Scientific Staff Assistance as a scientific staff
and consultant in Institute of Control and Systems Engineering at Wroc³aw
Technical University. |
Main
Past Professional Experience
1995-1996 |
Management
Director |
1994-1995 |
Researcher |
1992-1994 |
Researcher |
1989-1991 |
Developer |
Memberships
Since 1993 |
Arkus
Electronics, Poland Permanent member of president body of Arkus
Electronics. |
Since 1996 |
PANC (Polish
Association for Networking and Computerization) Consultant in
the field of „Software Technologies”. |
Since 1994 |
Research Team
(Wroclaw Technical University) |
Achievements
and Publications
European IT Prize’96 Winner |
Participation in designing and realization of „Orka ” project (Neural
Network Simulator awarded The European IT Prize’96 Winner) |
Kwartalnik
Elektroniki |
Finite difference method application to microstrip transmission lines |
XI
International Conference on System Science 1992 |
Genetic algorithms in optimization problems |
Journal of
Empirical Text Research 1994 |
Simulation der Selbstorganisation kultureller Prozesse |
Studium
Generale – Universitis Wratislaviensis 1995 |
Artificial Culture - simulation |
Education
1989-1992 |
Technical
University of Wroclaw |
1985-1990 |
Technical
University of Wroclaw |
1981-1985 |
Secondary
school |
Languages:
English |
Good Written and spoken |
Polish |
Native language |
University
of Rousse, Bulgaria.
1.1. Although the University of Rousse was founded as
strictly
specialised at the beginning, it had a high national meaning because only
at Rousse agricultural machine and
electroengineers were educated.
The foundation of HMEI Varna, HMEI Gabrovo and the
subsidiary of the
Sofia University in Plovdiv narrowed its national
importance. At
present the University of Rousse is a typical regional
university
because 50-80% of the students come from the region of
Rousse. This
tendency will last for a long time because of the
existing economic
crisis.
This fact shows the necessity of diversification of
education so that
the needs of the region are satisfied. This is
partially done by
developing of the specialities agriculture, law,
business and
management, pedagogic, kinesitherapy and European Studies. What
follows is a urgent necessity of stabilising the
faculties where these
specialities are being developed.
1.2. The city
of Rousse is situated in a rich agricultural region
and the only faculty of Mechanisation of Agriculture
(FMA) exists
since 40 years at the University of Rousse. Concerning
the changes in
economy and partly in agriculture, the faculties have
to be
re-oriented to the new realities enlarging the
activities and renewing
the teaching method. The FMA is the only faculty that
depends on the
fundamental changes. Taking this into consideration,
this faculty has
to be entirely changed.
1.3. However
ranked on the third place, this statement and the
conclusions drawn from it are of vital importance for the University
of Rousse. The city is not only the centre of a rural
region but there
used to be much industry here as well. Regression
causes the decrease
in the
number of factories and, of course, there is no need of
engineers. That is why the main conclusion for the
University of
Rousse is to preserve the engineering facilities and
the highly
qualified people working there.
1.4. The
University of Rousse has worked closely and has supported
methodologically for a long time the three colleges in
Silistra,
Jambol and Razgrad. These institutes have to merge,
having in mind the
terms of the law for higher education which postpones
the bachelors
degree. It is necessary to gain experience and to be
assisted by the
West European countries that traditionally develop
this degree.
1.5. Thanks
basically to the active co-operation with British
universities within the TEMPUS Scheme, two
specialities referring to
the BEng degree already exist at the University of
Rousse. They are
the Information Technologies, the Integrated
Engineering .
Researchers assigned to the project.
Emil Ivanov Gizdarski, Ph.D., Senior lecturer
EDUCATION
1994 Ph.D.
in Computer Engineering, Technical university of Sofia
1987 M.Sc. in Computer Science,
University of Rousse
1986 B.Sc.
in Computer Engineering, University of Rousse
WORK EXPERIENCE
1996 Vice
head of research
1995 Senior
lecturer Dept. of CS., University of Rousse
1992-1995 Lecturer Dept. of CS, University of Rousse
1989-1992 Assistant Professor Dept. of CS, University of Rousse
1987-1989 Research Student ISIB, University of Rousse
INTERNATIONAL EXPERIENCE
TEMPUS IMG-10-13-93
TEMPUS S_JEP 11392
“Restructuring Degree Courses in Computing”
CURRENT RESEARCH INTERESTS
fault-tolerant systems;
CAD, CAM, EDA, object oriented programming
Ognian Zdravkov Topalov, M.Sc, Lecturer
EDUCATION
1988 M.Sc. University of
Rousse, Computer Systems Department
WORK EXPERIENCE
1996-1998 Visiting research in University of
Pusan, Korea
1991 Lecturer,
Dept. of CS., University of
Rousse
1988-1991 Assistant professor , University of
Rousse, Computer Systems Department
INTERNATIONAL EXPERIENCE
TEMPUS S_JEP 07653
“Inter-University Center for Modern Educational Technologies”
TEMPUS S_JEP 11392
“Restructuring Degree Courses in Computing”
INTERESTS AND ACTIVITIES
Artificial intelligence,
Neurone networks, Object Oriented
Programming
Assembler, Pascal,
Visual C++, Java, Visual Basic and Delphi program languages.
Tsvetozar Stefanov Georgiev, M.Sc, Lecturerc
EDUCATION
1990 M.Sc. University of
Rousse, Computer Systems Department
WORK EXPERIENCE
1997 Lecturer,
University of Rousse, Computer Systems Department
1995-1997 Assistant professor , University of
Rousse, Computer Systems Department
1991-1995 Research assistant, University of
Rousse, Institute of Scientific Development
INTERNATIONAL EXPERIENCE
TEMPUS S_JEP 07653
“Inter-University Center for Modern Educational Technologies”
TEMPUS S_JEP 09349
“Inter-University Foreign Language Training Network”
TEMPUS S_JEP 11392
“Restructuring Degree Courses in Computing”
INTERESTS AND ACTIVITIES
Object Oriented
Programming, Industrial Automation,
Multimedia Application Development
Assembler, Pascal,
Visual Basic, Delphi and OpenScript program languages.
Orlin Dimitrov Mirchev, M.Sc
EDUCATION
1987 M.Sc.
Technival University of Sofia, Dept.
of Computer science
WORK EXPERIENCE
1995 NOVELL
4.1 Administrator & System supervisor, UNION BANK, Rousse
1994-1995 Leader of SOFTWARE DEPARTMENT, Bank High Sys Ltd., Sofia
1990-1994 Leader of SOFTWARE DEPARTMENT, Delta Instruments Ltd. Sofia
1987-1990 Assistant professor , TU of
Sofia, Dept. of ELECTRICAL MEASURING
INTERNATIONAL EXPERIENCE
UNIDO Project “Automatic
meteorological system & databases”
INTERESTS AND ACTIVITIES
Database for IBM PC
based systems, CAD/CAM Applications,
Industrial software
Industrial remote control systems,
Communications, Network
Supervising
Pascal, C/C++,
Institute for Informatics and Automation Problems
National Academy of Sciences and Yerevan State University
Republic of Armenia
The Institute was established in 1957. It has a number
of divisions with
a total number of about 186 people employed (among
them researchers -
116, D. Sc - 10, Cand. Sc. - 50).
For many decades the Institute carried out fundamental
investigations in
the areas of Informatics and Computer Science and
Intelligence Systems
Design on base of these investigations. Besides the
Institute is engaged
in training of high-leveled specialists in these
areas. All divisions
teach students and postgraduates as well as have their
own research
projects. In the last years we have started studying
and the development
of new Programming Intelligent Tools on base of
mathematics - grounded
methods. Currently the Institute acts as the Internet
Provider of the
Scientific Network of Armenia including many research
organizations and
universities.
Current investigations are in the field of:
* Discrete Mathematics, Modeling and Optimization
* Coding Theory and Information Theory
* Mathematical Logic and Theory of Algorithms
* Automaton Theory and Industrial Systems
* Artificial Intelligence and Management Support
Systems
* Pattern Recognition and Image Analysis
* Software Engineering, Distributed Information
Systems
International contacts
Important research and development projects have been
initiated in
cooperation with: Research Institute of Automation and
Computer
Sciences of
Hungarian Academy of Sciences since 1975 and Technical
University of Darmstadt, Germany since 1990.
The Institute collaborates successfully with the
University of Osaka,
Japan, University of Tampere, Finland, Computer Center
of Academy of
Sciences of Russia, National Technical University of
Athens, Greece.
Besides it participates in a number of cooperative
projects with EIATCS,
NATO Science Division and INTAS.
Address: P.Sevak 1, 375014 Yerevan,
Armenia, tel: 28-58-12, http://ipia.sci.am
C2.1. A brief Curriculum Vitae of the principal
scientific staff
involved
in the proposal
Researchers
assigned to the project.
1. Yuri H. Shoukourian, Prof., Dr.
Society Membership
Full Member of the Armenian Academy of Sciences.
Member of
the Informatics Committee of the Russian Academy of Sciences.
Member of
the Software Committee of the Russian Academy of Sciences.
Member of
the European Association of Theoretical Computer Science.
Correspondent of Central&Eastern European Initiatives Committee of
IEEE
Computer Society.
EDUCATION
Candidate of
Phys.- Mathematical Sciences in Mathematical Cybernetics
Institute of
Cybernetics of Ukrainian Academy of Sciences, Kiev, 1968.
Thesis: On
the optimization of automaton with terminal state.
Doctor of
Technical Sciences in Software
Engineering, Institute of
Cybernetics of Ukrainian Academy
of Sciences Kiev, Ukraine, 1982.
Thesis:
Automata-based methods of analysis and optimization in the
computer
aided design for microprogramming structure.
EMPLOYMENT
1980-1986 Yerevan
Institute of Mathematical Machines,
Chief of the Department
of the Software Engineering.
1986 - present Institute
for Informatics and Automation Problems of
Armenian
National Academy of Sciences, Yerevan.
Director,
Head of the Department of CAD and Automata
Theory.
1985 - present Yerevan
State University. Professor.
1995 - present Vice-President
of Armenian National Academy of Sciences
RESEARCH INTERESTS
Theory: Automata theory, theoretical programming,
computer aided design.
Software Engineering: Programming languages,
microprogramming,
parallel computation.
MAIN ACHIEVEMENTS
1.
Development of techniques for optimization of the speed of
discrete converters (d.c. is a system consisting of
two interacting
components - automata with terminal state and
information environment)
in the class of equivalence to with respect operator
semigroup over
information environment. Proof of solvability of
optimization problem
for new classes d.c. Development of (decision) table
program model and
the method optimization by means of acyclic partition
automata.
2.
Development of formal models for microprogramming processors and
methods for their verification (system of the full
functional tests,
correctness, generation of the diagnostic tests).
Development of the
testing technique for programs on the base of
specification language.
3.
Development of methods for
parallelization automata via
compaction outputs, which are elements of free
commutative semigroups
and investigation of decision problems for languages
processes in
oriented graphs.
APPLIED RESEARCH
1. Program
system for simulation of the microprogramming processors,
microcode generation, PC program for verification of
logical circuits
and microprogramm scheduling
2. CAD
system for main-frame and minicomputers, which have been
design in the Yerevan Institute of Mathematical
Machines.
3. Extension
of multitasking operation system for fault-tolerant
minicomputer complex.
4.
Radiomodems fragment for Armenian scientific network for the link
with INTERNET.
PROJECTS
1.
Participant in INTAS project number INTAS-93-1702 "Efficient
Symbolic Computing" in collaboration with 10
other universities from the
European Union and 8 institutions from the former
Soviet Union.
2.
Participant in NATO project for telecommunications development in
Armenia.
2. Ms. Hasmik Ghazaryan
Senior Researcher, Laboratory of Discrete Analysis
& Modeling Technologies,
Institute for Informatics and Automation Problems,
National Academy of Sciences, Yerevan State
University,
P.Sevak Str.,1, 375044, Yerevan, Armenia,
Tel.: +3742 283170.
M.Sc. - 1993, Computer Center AS, Yerevan,
Mathematics, Diploma - 1990, Yerevan State University.
Main field: Software Engineering. Other fields: Logic,
Combinatorics.
Current research interests: Information acquisition
and analysis.
Number of papers in refereed journals: 5,
Number of communications to scientific meetings: 4.
3. Mr. Koriun Markaryan
Senior Researcher, Laboratory of Discrete Analysis
& Modeling Technologies,
Institute for Informatics and Automation Problems,
National Academy of Sciences, Yerevan State
University,
P.Sevak Str.,1, 375044, Yerevan, Armenia,
Tel.: +3742 283170, Fax.: +3742 285812
M.Sc. - 1995, Computer Center AS, Yerevan,
Mathematics, Diploma - 1992, Yerevan State University.
Main field: Data Bases. Other fields: Software
Engineering.
Current research interests: Management Support
Systems.
Number of papers in refereed journals: 3,
Number of communications to scientific meetings: 2.
4. Ms. Irina Arsenyan (Akopova)
Senior Researcher, Laboratory of Discrete Analysis
& Modeling Technologies,
Institute for Informatics and Automation Problems,
National Academy of Sciences, Yerevan State
University,
P.Sevak Str.,1, 375044, Yerevan, Armenia,
Tel.: +3742 283170, Fax.: +3742 285812
M.Sc. - 1982, Computer Center AS, Yerevan,
Mathematics, Diploma - 1977, Yerevan State University.
Main field: Discrete Modeling. Other fields: Logic,
Combinatorics.
Current research interests: Distributed Artificial
Intelligence.
Number of papers in refereed journals: 11,
Number of communications to scientific meetings: 15.