Bujar Raufi
Faculty : Contemporary Sciences and Technologies
Position : Associate Professor
Engagement type : Part time
Position : Associate Professor
Engagement type : Part time
Personal data
E-mail : b.raufi@seeu.edu.mkAddress : Ilindenska nn, 1200, Tetovo, Macedonia
Telephone : +389 44 356 185
Fax : +389 44 356 001
Languages ( Self-evaluated )
Albanian
Native
English
C2 - Proficient
Macedonian
C2 - Proficient
French
B2 - Upper Intermediate
Turkish
B2 - Upper Intermediate
Education
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Nov 2006 -
Sep 2011: Doctor of Computer Science
Faculty: French Faculty of Electrical Engineering
Technical University of Sofia, Sofia, Bulgaria
Specialty: Computer Systems, Complexes and Networks
Thesis: "Development and Implementation of Adaptive Web-Based Systems Using Data Mining Techniques and Semantic Web"
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Oct 2003 -
Nov 2005: Master of Science in Informatics
Faculty: Master School - Internet Software Technologies Program
New Bulgarian University, Sofia, Bulgaria
Specialty: The field of Internet Technologies
Thesis: "Development and Implementation of Online Examination System"
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2001 -
Nov 2003: Bachelor of Science in Computer Sciences
Faculty: Contemporary Sciences and Technologies
South East European University, Tetovo, Macedonia
Specialty: Computer Sciences
Publications
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Evaluation Model that Makes Comparison Between Market Demands and University Curricula Offer.
In International Journal on Information Technologies and Security, pp. 17-28.
2020.
(Link)
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Causal Reasoning Application in Smart Farming and Ethics: A Systematic Review.
In Annals of Emerging Technologies in Computing (AETiC), pp. 10-19.
2020.
(Link)
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TRANSFORMATION FROM RELATIONAL DATABASE TO NOSQL DATABASE: MIGRATION AND INTEGRATION.
3rd International Scientific Conference on Business and Economics - SEEU,
Tetovo,
2019.
(Link)
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WEB DATA SCRAPING TECHNIQUE AND PREPARATION FOR COMPARISON TECHNIQUES BETWEEN DIFFERENT DOCUMENTS.
In International Journal on Information Technologies & Security, No 2 (vol. 11), pp. 71-86.
2019.
(Link)
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Evaluation of Machine Learning Techniques for Hate Speech Detection In Mobile Platforms.
In Communication & Cognition, pp. 73-91.
2019.
(Link)
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A Systematic Mapping Study of Language Features
Identification from Large Text Collection.
IEEE,
Budva,
2019.
(Link)
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Web personalization issues in big data and Semantic Web: challenges and opportunities .
In Turk J Elec Eng & Comp Sci , pp. 2379-2394.
2019.
(Link)
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Energy Provider Data Warehouse Design and Implementation - Case Study.
IEEE,
Varna,
2019.
(Link)
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Hybrid Models of Performance Using Mental Workload and Usability Features via Supervised Machine Learning.
Springer,
Rome,
2019.
(Link)
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The Need for an Automated Model which makes Matching between Job Market Demand and University Curricula.
2018.
(Link)
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QUERY OPTIMIZATION IN MICROSOFT SQL SERVER.
In International Journal on Information Technologies & Security, pp. 13-22.
2018.
(Link)
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Comparison Between Relational and NOSQL Databases.
MIPRO,
Opatija,
2018.
(Link)
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MODELLING AND IMPLEMENTATION OF MACHINE LEARNING TECHNIQUES FOR HATE SPEECH DETECTION IN MOBILE APPLICATIONS.
Varna,
2018.
(Link)
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ANALYSIS AND COMPARISON OF DOCUMENT-BASED
DATABASES WITH SQL RELATIONAL DATABASES:
MONGODB VS MYSQL.
2018.
(Link)
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A MODEL FOR AUTOMATED MATCHING BETWEEN JOB MARKET DEMAND AND UNIVERSITY CURRICULA OFFER.
In SEEU Review, pp. 188-217.
2017.
(Link)
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Augmenting requirements gathering for people with special needs using IoT: a position paper.
ACM,
New York,
2016.
(Link)
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Knowledgebase Harvesting for User-Adaptive Systems Through Focused Crawling and Semantic Web.
ACM,
2016.
(Link)
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Web Accessibility for Visually Impaired People: Requirements and Design Issues.
In Usability- and Accessibility-Focused Requirements Engineering. Lecture Notes in Computer Science, pp. 79-96.
Springer,
2016.
(Link)
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Impact of table partitioning on the query execution performance.
2016.
(Link)
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Institutional Effectiveness Prediction Using Data Mining Techniques.
Institute of Research Engineers and Doctors,
Rome,
2016.
(Link)
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SEEU Study Programs Curricula in Linked Open Data.
Institute of Research Engineers and Doctors,
Rome,
2016.
(Link)
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Institutional Effectiveness Prediction Using Data Mining Techniques.
In Vol (3), pp. 9-13.
2016.
(Link)
Work Experience
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Sep 2017 -
Present
: Associate Professor
South East European University, Tetovo, Macedonia
Type of business or sector: Education and research
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Sep 2012 -
Sep 2017: Assistant Professor
South East European University, Tetovo, Macedonia
Type of business or sector: Education and Research
Main responsibilities: Assistant Professor in Subjects (CCS-102) - Internet Technologies and CCS6020 - Computer Graphics
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Mar 2012 -
Aug 2012: Teaching Assistant
South East European University, Tetovo, Macedonia
Type of business or sector: Education and Research
Main responsibilities: Teaching Assistant in Subjects CCS1020 - Internet Technologies and CCS6020 - Computer Graphics as well as active involvement in research and publications in the field of Adaptive Web-Based Systems, Information Retrieval, Data Mining and Semantic Web.
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Sep 2008 -
Mar 2012: Prodean for Postgraduate Studies
South East Euroepan University, Tetovo, Macedonia
Type of business or sector: Education and Research
Main responsibilities: Managing 2nd cycle studies at faculty of Contemporary Sciences and Technologies. Enforcing university and faculty regulations and policies - Helping with staff engagements and academic planning - Curriculum development - Managing Teaching observation proc
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Sep 2005 -
Sep 2008: Senior Asistant
South East European University, Tetovo, Macedonia
Type of business or sector: Education and Research
Main responsibilities: Co-taught graduate level course for undergraduate studies in subjects like: Programming, Computer Networks, Data Structures and Algorithms, Computer Application in communications,Data Mining, Multimedia Systems and Computer Graphics with OpenGL.
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Sep 2003 -
Sep 2005: Young Assistant
South East Euroepan University, Tetovo, Macedonia
Type of business or sector: Education and Research
Main responsibilities: Duties at various times which have included office hours and leading weekly computer lab exercises in subjects like: Programming, Computer Networks, Data Structures and Algorithms, Computer Application in communications,Data Mining, Multimedia Systems.