Visar Shehu
Faculty : Contemporary Sciences and Technologies
Position : Full Professor
Engagement type : Full time
Position : Full Professor
Engagement type : Full time
Languages ( Self-evaluated )
Albanian
Native
English
C2 - Proficient
Macedonian
C2 - Proficient
Serbian
C1 - Advanced
Croatian
C1 - Advanced
Turkish
B1 - Intermediate
Education
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Jan 2007 -
Oct 2012: Doctor in Computer Sciences
Faculty: Contemporary Sciences and Technologies
South East European University, Tetovo, Macedonia
Specialty: Computer Vision, Data Mining
Thesis: "Evaluation and Implementation of a Computer Vision Based Natural Interaction System"
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Jan 2006 -
Jul 2007: Master of Science in Computer Sciences
Faculty: Computer Science
Indiana University Purdue University Indianapolis, Indianapolis, Indiana
Thesis: "Biomedical Knowledge Visualization"
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Oct 2001 -
Jul 2005: Bachelor of Science in Computer Science
Faculty: Communication Sciences and Technologies
South East European University, Tetovo, Macedonia
Publications
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Multi-Agent and Retrieval-Augmented Techniques for Data Quality: A Systematic Literature Review.
UBT International Conferenc,
Prishtina,
2025.
(Link)
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Geospatial XR for Disaster Response: Implementation and Compatibility Issues.
MECO,
Budva,
2025.
(Link)
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Improving Situational Awareness During Natural Disasters Using XR Technologies.
IEEE,
Salento,
2025.
(Link)
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Visar Shehu
Anomaly Detection on Multivariate Sensing Time Series Data for Smart Aquaculture.
Springer Nature Switzerland,
Switzerland,
2024.
(Link)
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Bert Based Named Entity Recognition for the Albanian Language.
In Interdisciplinary Journal of Research and Development, pp. 7.
2024.
(Link)
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Anomaly detection on univariate sensing time series data for smart aquaculture using K-means, isolation forest, and local outlier factor.
12th Mediterranean Conference on Embedded Computing,
2023.
(Link)
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TË KUPTUARIT E TË DHËNAVE .
SEEU,
Tetovo,
2023.
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Automatic Hate Speech Detection using Natural Language Processing: A state-of-the-art literature review.
12th Mediterranean Conference on Embedded Computing (MECO 2023), IEEE Conference Publications,
Budva, Montenegro,
2023.
(Link)
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Evaluation and Verification of NLP Datasets for the Albanian Language.
IEEE Xplore,
Istanbul,
2023.
(Link)
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Selected chapters in VR/AR.
SEEU,
Tetovo,
2022.
(Link)
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Introduction to VR development with Unity.
SEEU,
Tetovo,
2022.
(Link)
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A Glimpse Towards Fake News Detection in Social Media During Emergencies.
SEEU,
Tetovo,
2021.
(Link)
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Improving Employee Recruitment Through Data Mining.
Springer,
Naples, Italy,
2018.
(Link)
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A PROPOSED MODEL FOR PEER ASSESSMENT IN THE DIGITAL AGE: LEVERAGING SOCIAL MEDIA PLATFORMS.
In SEEU Review, pp. 173-187.
2018.
(Link)
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Towards Intelligent Disaster Response Systems.
Entrenova,
Split,
2018.
(Link)
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Sequential Pattern Mining Model of Performing Video Learning History Data to Extract the Most Difficult Learning Subjects.
Entrenova,
Split,
2018.
(Link)
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Detecting Bias in Media - a Data Mining Approach.
ISTI,
Tirana,
2017.
(Link)
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Empowering Data Driven Journalism in Macedonia.
ACM,
New Jersey,
2016.
(Link)
Work Experience
-
Oct 2018 -
Present
: Associate Professor
South East European University, Tetovo, Macedonia
Type of business or sector: Education and Research
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Oct 2013 -
Oct 2018: Assistant Professor
South East European University, Tetovo
Type of business or sector: Education and Research
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Aug 2007 -
Oct 2013: Assistant
South East European University, Tetovo, Macedonia
Type of business or sector: Education and Research
Main responsibilities: Assistant in the faculty of Contemporary Sciences and Technologies.
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Sep 2006 -
Jul 2007: IT Support Consultant
UITS - University IT Services, Indiana University, Indianapolis, Indiana
Type of business or sector: Information Technologies
Main responsibilities: Provide technical support and consulting services in the field of IT technologies and systems.
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Jan 2005 -
Dec 2005: Lead Business Application Development
Xhumkar Computers, Struga, Macedonia
Type of business or sector: Information Technologies
Main responsibilities: Development of Windows Applications. Porting legacy DOS applications to new technologies.