Elena Ikonomovska - Department of Knowledge Technologies

Elena Ikonomovska - Department of Knowledge Technologies

Elena Ikonomovska
Curriculum vitae
Occupation: Research Assistant
Affiliation: Jozef Stefan Institute - Ljubljana; and Faculty of Electrical Engineering and
Information Technologies - Skopje
Address: Jamova cesta 39, SI-1000 Ljubljana, Slovenia
E-mail: elena.ikonomovska@ijs.si
Education
Expected : April 2012
Doctoral degree in Information and Communication Technologies, PhD (2009 - today)
Thesis: Learning Regression Trees and Ensembles from Evolving Data Streams
Jožef Stefan International Postgraduate School, Ljubljana, Slovenia
Master of Science degree in Electrical Engineering, M. Sc. Eng. (2006 - 2009)
Thesis: Efficient Incremental Learning of Regression and Model Trees from Data
Streams
Major: Science and Computer Engineering
Final average grade: 10.00
Faculty of Electrical Engineering and Information Technologies - Skopje,
University Ss Cyril and Methodius, Skopje, Macedonia
University degree in electrical engineering, Dipl. Eng. (2001 - 2006)
Thesis: Algorithm Tabu-Search
Major: Computer science and Automation
Final average grade: 9.81
Faculty of Electrical Engineering - Skopje,
University Ss Cyril and Methodius, Skopje, Macedonia
Working Experience
From January 2006 till October 2009 I was working at the Faculty of Electrical
Engineering and Information Technologies in Skopje, Republic of Macedonia. My
position was teaching assistant until July 2006.
From October 2006 till October 2009 I was young teaching and research assistant at the
Faculty of Electrical Engineering and Information Technologies in Skopje. I was
responsible for conducting laboratory and auditory exercises, as well as for mentoring
students, organizing exams and performing evaluations on the following courses:
Structured Programming, Object Oriented Programming, Visual Programming,
Introduction to Internet, and Programming Methodologies.
Currently I'm working at the Jožef Stefan Institute as a research assistant at the
Department of Knowledge Technologies (E-8), funded by the Slovenian Research Agency
ARRS.
Research Experience
My research interests are on mining massive and streaming data, approximate aggregate
queries on data streams, on-line regression trees and ensembles, mining and processing
multi-relational data streams. Currently I am working on my PhD thesis as a young
researcher at the Jožef Stefan Institute, at the Department of Knowledge Technologies.
My supervisor is Prof. Dr. Sašo Džeroski from the Jožef Stefan Institute and my cosupervisor is Prof. Dr. João Gama from the LIAAD-INESC Porto L.A. Lab.
Currently I’m involved in the following research projects: Advanced Machine Learning
Methods for Automated Modeling of Dynamic Systems, Knowledge Discovery from
Ubiquitous Data Streams (PTDC/EIA/098355/2008) and Large Scale Information
Extraction and Integration Infrastructure for Supporting Financial Decision Making
(FIRST - http://project-first.eu/).
In the period from January 2008 till May 2008 I visited the LIAAD-INESC Porto L.A.
lab and worked on research problems in the area of learning from data streams under the
supervision of Prof. Dr. João Gama. During this stay I was involved in the European
Coordinated Action KDubiq (IST/FET 021321) aimed at discovering new challenges for
knowledge discovery (data mining) in the fields of ubiquitous computing.
During my doctoral studies I spent one month in 2010 on a research stay at the LIAADINESC Porto L.A. Lab. due to the continuous collaboration with Prof. Dr. João Gama. In
December 2010 I visited the Catholic University of Leuven and in 2011 I spent one
month on a research stay at the robotics laboratory SwarmLab, at the Department of
Knowledge Engineering (DKE), Maastricht University, where we initiated collaboration
on common research interests. Currently I'm visiting the Computer Science department of
the University of California Santa Cruz.
I had the opportunity to attend the 2nd European Summer School on Knowledge
Discovery for Ubiquitous Computing held at the University of Porto, 2-9 March 2009 in
Porto, and the Advanced International Doctoral School on Data Exchange, Integration
and Streams held in Dagstuhl, Germany, from 7 - 12 November 2010.
I have attended and have given talks at: the 28th International Conference on Machine
Learning, June 2011; the Ph.D. Workshop at the EDBT/ICDT International Joint
Conference, March 2011; the 26th Annual ACM Symposium on Applied Computing 2011,
March 2011; the 14th European Conference on Machine Learning, Principles and Practice
of Knowledge Discovery in Databases, September 2010; the 12th International
Conference on Discovery Science, October 2009; the 11 th International Conference on
Discovery Science, October 2008; the 8th National Conference with International
participation ETAI07, September 2007
Services
I was in the organization committee of the 8 th and the 9th National Conferences (ETAI07
and ETAI09). I have served as PC member for the following events:
•
ACM SAC 2012 Data Streams Track - The 27th Annual ACM Symposium on
Applied Computing
•
KDBI@EPIA2011 - International Workshop on Knowledge Discovery and
Business Intelligence
•
HIMoA 2011 - International Workshop on Managing Health Information in
Mobile Applications
•
ACM SAC 2011 Data Streams Track - The 26th Annual ACM Symposium on
Applied Computing
•
UDM 2010 - International Workshop on Ubiquitous Data Mining
Publications
Original scientific articles:
1. IKONOMOVSKA, Elena, GAMA, João. Learning model trees from data streams.
Lect. notes comput. sci., 2008, vol. 5255, str. 52-63. [COBISS.SI-ID 23331879]
2. IKONOMOVSKA, Elena, GAMA, João, SEBASTIÃO, Raquel, GJORGJEVIK,
Dejan. Regression trees from data streams with drift detection. Lect. notes
comput. sci., 2009, vol. 5808, str. 121-135. [COBISS.SI-ID 23302695]
3. IKONOMOVSKA, Elena, GAMA, João, DŽEROSKI, Sašo. Learning model
trees from evolving data streams. Data mining and knowledge discovery, 2011,
vol. 23, no. 1, str. 128-168, doi: 10.1007/s10618-010-0201-y. [COBISS.SI-ID
24647719]
Published scientific conference contributions:
1. IKONOMOVSKA, Elena, CHORBEV, Ivan, GJORGJEVIK, Dejan, MIHAJLOV,
Dragan. The adaptive tabu search and its application to the quadratic assignment
problem. V: BOHANEC, Marko (ur.), GAMS, Matjaž (ur.), RAJKOVIČ,
Vladislav (ur.), URBANČIČ, Tanja (ur.), BERNIK, Mojca (ur.), MLADENIĆ,
Dunja (ur.), GROBELNIK, Marko (ur.), HERIČKO, Marjan (ur.), KORDEŠ,
Urban (ur.), MARKIČ, Olga (ur.), MUSEK, Janek (ur.), OSREDKAR, Mari Jože
(ur.), KONONENKO, Igor (ur.), NOVAK ŠKARJA, Barbara (ur.). Zbornik 9.
mednarodne multikonference Informacijska družba IS 2006, 9. do 14. oktober
2006, (Informacijska družba). Ljubljana: Institut "Jožef Stefan", 2006, str. 27-30.
[COBISS.SI-ID 23923751]
2. IKONOMOVSKA, Elena, GJORGJEVIK, Dejan. A data mining approach to
performance refinement of a heuristic algorithm. V: STANKOVSKI, Mile J. (ur.).
VIII. Nacionalna konferencija so megunarodno učestvo ETAI, september 19-21
2007, Ohrid, Republika Makedonija. ETAI 2007 : zbornik na trudovi. Skopje:
Združenie za elektronika, telekomunikacii, avtomatika i informatika na Republika
Makedonija, 2007, str. 16-2-16-8. [COBISS.SI-ID 23924775]
3. IKONOMOVSKA, Elena, LOSKOVSKA, Suzana, GJORGJEVIK, Dejan. A
survey of stream data mining. V: STANKOVSKI, Mile J. (ur.). VIII. Nacionalna
konferencija so megunarodno učestvo ETAI, september 19-21 2007, Ohrid,
Republika Makedonija. ETAI 2007 : zbornik na trudovi. Skopje: Združenie za
elektronika, telekomunikacii, avtomatika i informatika na Republika Makedonija,
2007, str. 16-2-16-8. [COBISS.SI-ID 23924519]
4. MADŽAROV, Gjorgji, GJORGJEVIK, Dejan, IKONOMOVSKA, Elena. Stebla
od mašini so nosečki vektori za prepoznavanje na primeroci. V: STANKOVSKI,
Mile J. (ur.). VIII. Nacionalna konferencija so megunarodno učestvo ETAI,
september 19-21 2007, Ohrid, Republika Makedonija. ETAI 2007 : zbornik na
trudovi. Skopje: Združenie za elektronika, telekomunikacii, avtomatika i
informatika na Republika Makedonija, 2007, str. 16-3-16-8. [COBISS.SI-ID
23924263]
5. IKONOMOVSKA, Elena, DELEV, Tomče, DIMOV, Zoran, GJORGJEVIK,
Dejan. Web sistem za elektronsko podnesuvanje i recenziranje na trudovi na
naučna konferencija. V: STANKOVSKI, Mile J. (ur.). VIII. Nacionalna
konferencija so megunarodno učestvo ETAI, september 19-21 2007, Ohrid,
Republika Makedonija. ETAI 2007 : zbornik na trudovi. Skopje: Združenie za
elektronika, telekomunikacii, avtomatika i informatika na Republika Makedonija,
2007, str. 17-5-17-10. [COBISS.SI-ID 23924007]
6. IKONOMOVSKA, Elena, GJORGJEVIK, Dejan, LOSKOVSKA, Suzana. Using
data mining technique for coefficient tuning of an adaptive tabu search. V: The
International Conference on Computer as a tool, Warsaw, Poland, September 912, 2007. Region 8 Eurocon 2007 : proceedings. Piscataway, NJ: IEEE Service
Center, [2007], str. 707-713. [COBISS.SI-ID 23923495]
7. IKONOMOVSKA, Elena, GAMA, João, DŽEROSKI, Sašo. Incremental option
trees for handling gradual concept drift. V: PECHENIZKIY, Mykola (ur.),
ŽLIOBAITÉ, Indre (ur.). HaCDAIS 2010 : proceedings of the First International
Workshop on Handling Concept Drift in Adaptive Information Systems:
importance, challenges and solutions, held in conjunction with EMCL/PKDD
2010, September 24, 2010, Barcelona, Spain. [S. l.: s. n.], 2010, str. 17-27.
http://wwwis.win.tue.nl/hacdais2010/hacdais2010_proceedings.pdf. [COBISS.SIID 24191527]
8. IKONOMOVSKA, Elena. Regression on evolving multi-relational data streams.
V: Electronic conference proceedings. Uppsala: ACM, 2011, 7 str. [COBISS.SIID 24645927]
9. IKONOMOVSKA, Elena, GAMA, João, DŽEROSKI, Sašo. Incremental multitarget model trees for data streams. V: Proceedings of the 26th Annual ACM
Symposium on Applied Computing 2011, Taichung, Taiwan, March 21 - 24, 2011.
[S. l.]: ACM, cop. 2011, str. 988-993. [COBISS.SI-ID 24646439]
10. IKONOMOVSKA, Elena, GAMA, João, ŽENKO, Bernard, DŽEROSKI, Sašo.
Speeding up Hoeffding-based regression trees with options : a. V: GETOOR, Lise
(ur.), SCHEFFER, Tobias (ur.). Proceedings of the Twenty-eighth International
Conference on Machine Learning : [Bellevue, Washington, USA, June 28 - July 2,
2011]. [Madison: International Machine Learning Society], 2011, str. 537-552.
[COBISS.SI-ID 25110311]
Technical Skills
I have excellent programming skills in C, C++ and C#, Visual C, HTML/CSS, ASP.NET,
MFC, good programming skills in JAVA, JSP, Python and Prolog; excellent shell
scripting; and experience in working with Microsoft SQL Server, Microsoft Visual
Studio, Eclipse, MATLAB and all the operating systems (MS WINDOWS
2000/XP/Vista/7, Linux, Solaris, Ubuntu...).
Prizes and honors
I was continuously awarded during the undergraduate studies and honored for graduating
as third best in the generation with an average grade of 9.81. I won several prizes (1st
place, 3rd place and several recognitions) on the National Competitions in Physics and in
Informatics in the period from 1997 till 2001.
I got the Best submission award at the EDBT/ICDT Ph.D. Workshop 2011 collocated
with the EDBT/ICDT Joint Conference, held March 21-25, 2011 in Uppsala, Sweden.
Society memberships
I am a member of the high-IQ society MЕNSА-Мacedonia from 15.03.2001, a member
of the Engineering Society in Macedonia, and of the SIGAPP, SIGMOD and SIGKDD
ACM interest groups.
Languages
Native language: Macedonian. English and Serbian (excellent written and spoken
fluency), Greek (basic written and average spoken fluency) and Slovenian (average
written and spoken fluency).