Visar Shehu

Education

• 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"
  
  
• Jan 2006 - Jul 2007: Master of Science in Computer Sciences
  Faculty: Computer Science
  Indiana University Purdue University Indianapolis, Indianapolis, Indiana
  Thesis: "Biomedical Knowledge Visualization"
  
  
• Oct 2001 - Jul 2005: Bachelor of Science in Computer Science
  Faculty: Communication Sciences and Technologies
  South East European University, Tetovo, Macedonia
  
  

Publications

• Visar Shehu, Adriana Mijushkovic, Adrian Besimi. Empowering Data Driven Journalism in Macedonia. In Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on Social Informatics 2016. ACM, New Jersey, USA, 8 / 2016. (Download)
  
  
• Adrian Besimi, Visar Shehu. Improving Quality of Service at Seeu Through Advanced Data Analysis and Visualization. In SEEU Review Volume 9 Issue 2, pp. 9 - 27. De Gruyter, Berlin, 11 / 2014. ISBN 1857-8462. (Download)
  
  
• Arben Hajra, Fidan Limani, Visar Shehu. Improving Quality of Teaching and Self Assessment Using Automatic Tools. In SEEU Review Volume 9 Issue 2, pp. 133. De Gruyter, Berlin, 11 / 2014. ISBN 1857-8462. (Download)
  
  
• Faton Mehmedi, Visar Shehu, Adrian Besimi. A Platform for Automatic Assessment of Programming Assignments. In SEEU Review. SEEU Review, Tetovo, Macedonia, 6 / 2014. (Download)
  
  
• Visar Shehu, Adrian Besimi, Nuhi Besimi. Applied Cosine Similarity Algorithm in Politics: The Case of Macedonian Parliament. In 12th International Conference - e-Society, pp. 170-177. IADIS, Madrid, Spain, 2 / 2014. ISBN 978-989-8704-03-0. (Download)
  
  
• Visar Shehu, Agni Dika. Curve similarity measurement algorithms for automatic gesture detection systems. In MIPRO, 2012 Proceedings of the 35th International Convention, pp. 973-976. MIPRO, Opatija, Croatia, 5 / 2012. ISBN 978-1-4673-2577-6. (Download)
  
  
• Visar Shehu, Agni Dika. Object class recognition using range of multiple computer vision algorithms. In MIPRO, 2011 Proceedings of the 34th International Convention, pp. 909-912. MIPRO, Opatija, Croatia, 5 / 2011. ISBN 978-1-4577-0996-8. (Download)
  
  
• Visar Shehu, Agni Dika. Using real time computer vision algorithms in automatic attendance management systems. In Information Technology Interfaces (ITI), 2010 , pp. 397-402. Cavtat, Croatia, 6 / 2010. ISBN 978-1-4244-5732-8. (Download)
  
  
• Visar Shehu, Adrian Besimi, Lejla Abazi, Mehmetali Shaqiri. Usability Issues While Building a new LMS. In Information Technology Interfaces, 2009. ITI '09, pp. 317-322. Cavtat, Croatia, 6 / 2009. ISBN 978-953-7138-15-8. (Download)
  
  
• Adrian Besimi, Visar Shehu, Lejla Abazi, Zamir Dika. Managing security in a new Learning Management System (LMS). In Information Technology Interfaces, 2009. ITI '09. Proceedings of the ITI 2009 31st International Conference on, pp. 337-342. Cavtat, Croatia, 6 / 2009. ISBN 978-953-7138-15-8. (Download)
  
  

Work Experience

• Oct 2013 - Present : Assistant Professor
  South East European University, Tetovo
  Type of business or sector: Education and Research
  
  
• 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.
  
  
• 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.
  
  
• 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.