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dejan.gjorgjevikj@finki.ukim.mk

Summary

Роден е 1967 година во Скопје. Дипломирал, магистрирал и докторирал на Електротехничкиот факултет во Скопје во 1992, 1997 и 2004 година, соодветно. На Институтот за компјутерска техника и информатика при Електротехничкиот факултет во Скопје е вработен во 1992 година како помлад асистент. Во 2004 и 2009 година е избран во звањата доцент и вонреден професор, соодветно, а во 2014 во редовен професор. Одговорен е за 6 предмети на додипломски и четири предмети на магистерски студии. Автор е на преку 70 научни и стручни трудови објавени на домашни и меѓународни конференции и списанија. Учествувал во десетина апликативно истражувачки мултилатерални и билатерални проекти со повеќе универзитети од Европската унија. Член е на IEEE од 1991 и на ACM од 1997 година. Полињата на неговиот научно-истражувачки интерес вклучуваат: препознавање на облици, софтверско инженерство, машинско учење и напредни веб технологии.

Повеќе информации можете да најдете на следниов линк.

Рецензија - ЛИНК.
Одлука за избор - ЛИНК

Associations

Линк до асоцијацијата (здружението)	Име на асоцијацијата (здружението)
	Institute of Electrical and Electronics Engineers (IEEE)
	Association for Computing Machinery (ACM)
http://www.ict-act.org	ICT-ACT
http://www.etai.org.mk	Друштво за електроника , телекомуникации, информатика и автоматика - ЕТАИ

Books

Наслов на книгата	Издавач
Комбинирање на класификатори за препознавање на примероци	Машински факултет - Скопје, ISBN 9989-2131-8-6

Publications

Име на трудот	Место	Држава
ASGRT-Automated report generation system	M. Gusev and P. Mitrevski (Eds.): Communications in Computer and Information Science, Vol. 83, ICT Innovations 2010	Germany
Ensembles of Binary SVM Decision Trees	ICT Innovations 2010 (Editor M. Gusev), Web proceedings	Macedonia
Efficient Two Stage Voting Architecture for Pairwise Multi-label Classification	Advances in Artificial Intelligence, Proceedings of 23rd Australia Joint Conference on Artificial Intelligence	Australia
Hierarchical Classification оf Magnetic Resonance Images	Proceedings of the 11th International Multiconference INFORMATION SOCIETY - IS 2010 Ljubljana	Slovenia
Towards Improving Magnetic Resonance Image Classification	18th Telecommunications forum TELFOR 2010, TELFOR 2010	Serbia
Place-Tags, Discovering and Promoting Places Through Mobile Phones and Collaborative Filtering	Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces	Croatia
Heartbeat Tracking Application for Mobile Devices - Arrhythmia Recognition Module	Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces	Croatia
Classification of Magnetic Resonance Images	Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces	Croatia
Evaluation of Distance Measures for Multi-class Classification in Binary SVM Decision Tree	Artificial Intelligence and Soft Computing, 10th International Conference	Poland
Regression Trees from Data Streams with Drift Detection	Joao Gama, Vitor Santos Costa, Alipio Mario Jorge and Pavel B. Brazdil (eds.) Lecture Notes in Computer Science, Vol. 5808/2009, pp. 121-135, Discovery Science, 12th International Conference	Portugal
Multi-Class Classification Using Support Vector Machines In Decision Tree Architecture	Proceedings of EUROCON 2009, pp. 306-313	Russia
Multi-class Classification using Support Vector Machines in Binary Tree Architecture	International Scientific Conference UNITECH`08, Proceedings Volume-I, ISSN 1313-230X, pp. 413-418	Bulgaria
A Multi-Class SVM Classifier Utilizing Binary Decision Tree	Proceedings of the 11th International Multiconference INFORMATION SOCIETY-IS 2008 Ljubljana	Slovenia
Comparison of Automatic Shot Boundary Detection Algorithms Based On Color, Edges and Wavelets	Proceedings of the 11th International Multiconference INFORMATION SOCIETY-IS 2008 Ljubljana	Slovenia
Web-based Medical Image Retrieval System	Proceedings of Information Society – IS 2007	Slovenia
A Data Mining Approach to Performance Refinement of a Heuristic Algorithm	Proceedings of 8th National Conference with International Participation, ETAI 2007	Macedonia
A Survey of Stream Data Mining	Proceedings of 8th National Conference with International Participation, ETAI 2007	Macedonia
Using Data Mining Technique for Coefficient Tuning of an Adaptive Tabu Search	Proceedings of EUROCON 2007	Poland
The Adaptive Tabu Search and Its Application to the Quadratic Assignment Problem	Proceedings of 9th International Multiconference - Information Society 2006	Slovenia
Handwritten Digit Recognition by Combining SVM Classifiers	Proceedings of EUROCON 2005	Serbia
Handwritten Digit Recognition using Classifier Cooperation Schemes	Proceedings of the 2nd Balkan Conference in Informatics, BCI 2005	Macedonia
Methods of Combining SVMs Applied to Handwritten Digit Recognition	Proceedings of 7th National Conference with International Participation ETAI 2005	Macedonia
An Efficient Three-Stage Classifier for Handwritten Digit Recognition	Proceedings of 17th Int. Conference of Pattern Recognition, ICPR2004	UK
Cooperation of Support Vector Machines for Handwritten Digit Recognition Trough Partitioning of the Feature Set	Proceedings of 6th National Conference with International Participation ETAI 2004	Macedonia
AktivX.net: WEB application for software activation	Proceedings of 6th National Conference with International Participation ETAI 2004	Macedonia
Software Protection Using Activation Procedure	Proceedings of 6th National Conference with International Participation ETAI 2004	Macedonia
Decision Fusion and Reliability Control in Handwritten Digit Recognition System	Journal of Computing and Information Technology-CIT
Combining SVM Classifiers for Handwritten Digit Recognition	Proceedings of 16th Int. Conference of Pattern Recognition, ICPR2002	Canada
Handwritten Digit Recognition Using Statistical and Rule Based Decision Fusion	Proceedings of 11th Mediterranean Electrotehnical Conference - MALECON 2002	Egypt
Handwritten Digit Recognition by Combining SVM Using Rule-Based Reasoning	Proceedings of the 23th International Conference on INFORMATION TECHNOLOGY INTERFACES ITI 2001	Croatia
A Simple System for Automatic Exam Scoring Using Optical Mark Reader	Proceedings of Second Balkan IFAC International Symposium APPLIED AUTOMATIC SYSTEMS	Macedonia
Hybrid HMM?ANN System for Speech Recognition of Macedonian Language	Proceedings of 5th National Conference with International Participation ETAI 2000	Macedonia
Korektor M - A Software Package for Spell Checking and Hyphenation of Macedonian Texts	Proceedings of 5th National Conference with International Participation ETAI 2000	Macedonia
System for Digital Processing, Storage and Internet Publishing of Printed Textual Documents	Proceedings of 5th National Conference with International Participation ETAI 2000	Macedonia
Weighted Voting of Multiple ALN Classifiers for OCR	Proceedings of the 20th International Conference on Information Technology Interfaces	Croatia
Word Candidate Generation in Cyrilic OCR Based on ALN Classifiers	Proceedings of 9th Mediterranean Electrotehnical Conference - MALECON 1998	Israel
Speech Synthesizer Based on Time Domain Syllable Concatenation	Proceedings of the Speech and Computer SPECOM97	Romania
Text-to-Speech Conversion for Macedonian as Part of a System for Support of Humans with Damaged Sight	Proceedings of the 18th International Conference on Information Technology Interfaces	Croatia
Character Shape Preclassification in Mixed Script OCR for Macedonian Language	Proceedings of the 18th International Conference on Information Technology Interfaces	Croatia
A System for support of Humans with Damaged Sight: Text-to-Speech Conversion for Macedonian	Simpozijum o racunarskim naukama I informatici, Zbornik radova YU INFO 96	Serbia
Computer System for Support of Humans with Damagef Sight:Subsystem for Optical Character Recognition of Printed Cyrillic Text	Simpozijum o racunarskim naukama I informatici, Zbornik radova YU INFO 95	Serbia
Lindermayer system application on the human kidney arterial system	Proceedings of the 12th International Congress of the Europian Federation for Medical Informatics	Portugal
Computerized Aiding System for Humans with Damaged Sight	1st Balkan IFAC-type Conference on Applied Automatic systems, Preprints of Synopsis papers	Macedonia
CD-ROM BBS for distribution of freeware programs	t-ti tematski ETAI simpozium so megunarodno ucestvo, Preprint na referatski sinopsisi	Macedonia
State with CIM education at Faculty of Electrical Engineering at Skopje	Workshop on CIM Education Proceedings	Austria
Lindenmayer Systems Application on Human Body Organs	VI Simpozijum o informacionim tehnologijama	Bosna & Hercegovina
Graphical Interpreter of Lindenmayer Systems	Zbornik radova xxxvi konferencije o elektronici, telekomunikacija, automatizaciji I nuklearnoj tehnici	Serbia
Properties of Scattering Singularities in Modified Sinai`s Billiard	XI Annual Information Workshop "Dynamic Days"	Germany
A Multi-class SVM classifier utilizing binary decision tree	Informatica - An International Journal of Computing and Informatics	Slovenia
Dual Layer Voting Method for Efficient Multi-Label Classification	Lecture Notes in Computer Science, Vol. 6669/2011, pp. 232-239	Spain
Hierarchical Classification Architectures Applied to Magnetic Resonance Images	Proceedings of the 33rd International Conference on Information Technology Interfaces - ITI 2011, pp. 501-506	Croatia
A No-Reference Ringing Metric Based on Machine Learning Techniques	Proceedings of 10th International Conference, ETAI 2011	Macedonia

Projects

Име на проектот	Финансирано од
Wireless Campus for Strengthening of Student Services	TEMPUS UM JEP
Efficient Interactive User Interfaces for Visualization and Real-Time Process Monitoring in Medical Praxis	National Science Foundation of Macedonia
Combining and Optimizing Classifiers for Pattern Recognition	National Science Foundation of Macedonia
Interactive Multimedia Systems for Learning	National Science Foundation of Macedonia
Multimedia Methods for Preservation and Presentation of Special Collections	National Science Foundation of Macedonia
Establishment of an Open Distant Learning Center in Skopje	PHARE-Multi Country Programe
Image Processing and Modeling in Medicine	National Science Foundation of Macedonia and Research Council of Slovenia
Quality of Electrical Energy in the Republic of Macedonia	National Science Foundation of Macedonia
Multimedia Databases and their 3D visualization	National Science Foundation of Macedonia
System for Support of Humans with Damaged Sight	National Science Foundation of Macedonia
Innovation and Knowledge Management towards eStudent Information System	TEMPUS

Software Engineering (3+1+1)

1. General Information

The second cycle studies in software engineering aim to provide quality and top European education and training of software engineers who will be able to bear the technical and economic responsibility of designing, developing, using and maintaining complex software systems. Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, designing, developing and running software projects, including their business aspects.

Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
Study Program Name: Academic Second Cycle Software Engineering Studies
Scientific-research area: technical-technological (2)
Field: Computer Science and Informatics (212)
Area: Software Engineering
The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
Duration of studies: 2 or 4 semesters .
One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
The first semester consists of subjects, while the second has a smaller number of subjects and is reserved for the final project, ie. for the master's thesis.
Admission Requirements : Completed undergraduate studies in the field of informatics or computer technology and informatics with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
First semester: 3 compulsory courses and 2 electives, one of which may be from the University list.
Second semester: 1 compulsory and 1 elective, which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and a final project of 18 ECTS
1 ECTS credit corresponds to 30 hours of total work engagement
The number of contact hours is 4
The academic title or degree obtained after graduation is

- Master in Information Science and Computer Engineering in the field of Software Engineering

2. Introductory layer

The introductory layer is intended for students who study for less than four years or have earned less than 240 credits from previous studies.

Table 1: List of introductory layer items

РБ	Subject	Semester	ECTS
1	Mandatory subject 1 From Table 2	VII	6
2	Mandatory subject 2 From Table 2	VII	6
3	Mandatory subject 3 From Table 2	VIII	6
4	Mandatory subject 4 From Table 2	VIII	6
5	Elective course 1 ¹	VII	6
6	Elective 2 ¹	VII	6
7	Elective course 3 ¹	VII	6
8	Elective 4 ¹	VIII	6
9	Elective course 5 ¹	VIII	6
10	Selection from the university list of free courses	VIII	6

[1] Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Elective courses can be selected from the proposed list of courses of the study program, Table 2, or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in software engineering. Only one free choice of subject is allowed which is on the university list of subjects for the first year of two-year postgraduate studies.

Table 2: List of items

РБ	Code / Subject	Semester	ECTS	Prerequisite²
1	CSEW522 Advanced Web Design	VII	6	no
2	CSEW519 Mobile platforms and programming	VII	6	Object-Oriented Programming
3	CSEW702 Web based systems	VII	6	Network Programming
4	CSEW514 Implementation of Free and Open Source Systems	VII	6	no
5	CSEW313 Advanced Programming	VII	6	Object-Oriented Programming
6	CSEW704 Integrated Systems Design	VIII	6	Databases
7	CSES602 Security of computer systems	VIII	6	Operating Systems
8	CSES616 Mobile Applications	VIII	6	Object-Oriented Programming
9	CSES631 Software Quality and Testing	VIII	6	Software Engineering
10	CSES634 ICT Project Management	VIII	6	no

[2] The titles of the courses are given according to the curricula of the undergraduate studies at the Faculty of Information Technologies and Computer Engineering, UKIM, Skopje. Students who have graduated from other institutions will have to show passed exams in subjects appropriate to the above in order to meet the prerequisites for the respective subject.

After the successful completion of all ten courses and 60 credits, the student with previously acquired 180 ECTS credits (or completed three-year studies) continues with the courses from the second academic year of postgraduate studies - Table 3 (IX and X semester).

3. Studies

Table 3: List of Postgraduate Courses

РБ	CODE / Subject	Semester	M / E	ECTS
1	SI-Z-01 Software lifecycle management	IX	M	6
2	SI-Z-02 DevOps software development	IX	M	6
3	СE-M-03 Software Design Templates	IX	M	6
4	Elective	IX	E	6
5	Elective	IX	E	6
6	SI-Z-04 Software quality management	X	M	6
7	Elective	X	E	6
8	Master Thesis	X	M	18

At least one elective should be chosen from the offered electives in Table 4. At most one of the electives can be chosen from the University list of master's degree programs. A maximum of two electives can be selected from the courses offered in the other second cycle studies at the Faculty of Information Sciences and Computer Engineering.

Table 4: Electives

РБ	New code / Subject	Semester	ECTS
1	SI-I-01 Time series analysis and forecasting	IX	6
2	SI-02 Design of video games and special effects	IX	6
3	СE-E-03 Medical Informatics	IX	6
4	СE-E-04 Multimedia and scalable web	IX	6
5	СИ-И-05 Model based software Engineering	IX	6
6	SI-06 Critical systems software engineering	X	6
7	СE-E-07 Engineering Ethics	X	6
8	SI-08 ERP Business Systems Engineering	X	6
9	СE-E-09 Software reliability	X	6
10	СE-E-10 Shape Recognition	X	6
11	SI-I-11 Decision Support Systems	X	6
12	СE-E-12 System Integration	X	6
13	СE-E-13 Software Architectures	X	6
14	IS-I-06 Analysis and Design of Information Systems	IX	6
15	IT-Z-02 Advanced mobile and web applications	IX	6
16	ITMW01 Advanced Software Project Management	IX	6
17	IT-I-05 Data visualization	IX	6
18	КН-M-03 Formal methods	IX	6
19	IT-Z-03 Internet Security & Privacy	IX	6
20	IS-I-14 Multimodal interaction	X	6
21	IS-I-18 Intelligent mobile applications	X	6
22	ITMS01 Advanced Software Requirements Engineering	X	6

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this link .

Statistics for data analysis (3+1+1)

1. General Information

This program is designed to train staff with solid statistical knowledge with a focus on the newly recognized field of data science. The curriculum combines rigorous statistical theory with broader practical experience in applying statistical models to data work. Graduates will be in high demand. Most students are expected to be employed as statisticians, analysts and data experts within private and public institutions providing statistical consultations.

Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
Title of the study program: Second cycle academic studies in Statistics for Data Analysis
Scientific-research area: technical-technological / natural mathematical
Field: Informatics / Mathematics
Areas: Mathematical Statistics and Operations Research, Data Processing, Applied Mathematics and Mathematical Modeling, Programming, Artificial Intelligence, Algorithms, Information Processing .
The value of postgraduate studies is 120 ECTS credits.
Duration of studies: 4 semesters .
One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
Requirements for enrollment : according to the competition announced by the university, completed undergraduate studies in information science, computer or related fields with a minimum of 180 credits.
Introductory Layer : The introductory layer is the first two semesters in which students are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
Third semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
Fourth semester : 1 Mandatory course and 1 elective course, the elective course can be from the University list (only if in the first semester the courses are selected at the Faculty level) and the final project - master's thesis from 18 ECTS.
1 ECTS credit corresponds to 30 hours of total work engagement.
The number of contact hours is 4.
The academic title or degree obtained upon completion of the studies is Master of Science in Information Science - Statistics for Data Analysis

Master of Science in Informatics - Statistics for Data Analytics

2. Introductory layer

The first year of study is the introductory layer for students whose studies lasted less than four years, ie students who gained 180 credits from previous studies. Students must pass differential exams that will enable them to enter the basics of mathematics and computer science needed to successfully complete their studies.

Table 1: List of subjects in the first year of study

РБ	CODE / Subject	Semester	M / E	ECTS
1	Mandatory subject 1 from Table 2	VII	M	6
2	Mandatory subject 2 from Table 2	VII	M	6
3	Mandatory subject 3 from Table 2	VII	M	6
4	Mandatory subject 4 from Table 2	VII	M	6
5	Elective course 1 *	VII	E	6
6	Mandatory subject 5 from Table 2	VIII	M	6
7	Mandatory subject 6 from Table 2	VIII	M	6
8	Mandatory subject 6 from Table 2	VIII	M	6
9	Elective course 5 *	VIII	E	6
10	Selection from the university list of free courses	VIII	E

Elective courses can be selected from the proposed list of courses of the study program (Table 2), or from the proposed lists of courses from the introductory layer of other study programs of the Faculty of Information Sciences and Computer Engineering. The selection of courses should be made in accordance with the previous knowledge of the candidate and the necessary knowledge to continue with the postgraduate studies in statistics for data analysis. When choosing courses, the student should coordinate with the head of the study program. A free choice of subject is also allowed, which is on the university list of subjects for the first year of two-year postgraduate studies.

* Selection from the lists of subjects from the introductory layer of all master studies at the Faculty of Information Sciences and Computer Engineering

Table 2: List of recommended courses in the first year of study

РБ	New code / Subject	Semester	ECTS
1	F18L1W011 Discrete Mathematics	VII / VIII	6
2	F18L1S013 Calculus	VII	6
3	F18L2W006 Probability and statistics	VII	6
4	F18L3W035 Linear Algebra and Applications	VII	6
5	F18L3W008 Introduction to Data Science	VII	6
6	F18L3W161 Social Networks and Media	VII	6
7	F18L3W108 Internet of Things	VII	6
8	F18L3W004 Databases	VII	6
9	F18L3W068 Computing in the Cloud	VII	6
10	F18L3S036 Machine learning	VIII	6
11	F18L3S150 Data Mining	VIII	6
12	F18L3S163 Statistical Modeling	VIII	6
13	F18L3S157 Data warehousing and analytics	VIII	6
14	F18L1S023 Business Statistics	VIII	6
15	F18L3W076 Introduction to time series analysis	VIII	6

Table 3: List of Postgraduate Courses in Statistics for Data Analysis

РБ	CODE / Subject	Semester	M / E	ECTS
1	SNP-Z-1 Data analysis with statistical packages	IX	M	6
2	SDP-Z-3 Bayesian data analysis	IX	M	6
3	SDP-Z-4 Data preparation and research	IX	M	6
4	Elective item from Table 4	IX	E	6
5	Elective item from Table 4	IX	E	6
6	SNP-Z-2 Regression Models	X	M	6
7	Elective item from Table 4	X	E	6
8	Master Thesis	X	M	18

Table 3 lists the electives from the Statistics for Data Analysis study program. In addition to these courses, the student can choose from all elective courses, defined for all study programs, from the second cycle that are serviced by the faculty. It is allowed to choose one elective subject from the university list nand free electives.

Table 4: Optional list of offered items

РБ	New code / Subject	Semester	ECTS
1	Methods of statistical locking	IX	6
2	Concepts and application of big data	IX	6
3	Analysis and forecasting time series	IX	6
4	Advanced algorithms	IX	6
5	Modeling and fusing	IX	6
6	Information Processing in Biological Systems	IX	6
7	Analysis of data from related systems	IX	6
8	Text Data Processing	IX	6
9	Optimization methods	IX	6
10	Data processing in bioinformatics	IX	6
11	Network Analysis	IX	6
12	Ambiental intelligence	IX	6
13	Web of the Future	IX	6
14	Statistical Programming	X	6
15	Statistical Learning	X	6
16	Multidimensional statistical analysis	X	6
17	Numerical methods for data science	X	6
18	Statistical research skills: editing , reporting and visualization of data	X	6
19	Business Analytics	X	6
20	Random processes	X	6
21	Big Data Modeling and Management	X	6
22	Discovering knowledge in big graph data	X	6
23	Open and related data	X	6
24	Modern Simulations and Modeling	X	6
25	Computational paradigms in the Internet of Things	X	6
26	Data analysis from mobile sensors / sources	X	6
27	Intelligent mobile applications	X	6

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this link .

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д-р Дејан Ѓорѓевиќ

Software Engineering (3+1+1)

Statistics for data analysis (3+1+1)

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Nevena Ackovska Ph.D.

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Panche Ribarski Ph.D.

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д-р Дејан Ѓорѓевиќ

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Nevena Ackovska Ph.D.

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