Hi, my name is Jelena and this is my homepage

Jelena's picture

University of Belgrade
FOS - Faculty of Organizational Sciences (School of Business Administration)
Department of Software Engineering
Jove Ilica 154,
11000 Belgrade

Phone: +381-11-3950853
email: jeljov@gmail.com, jeljov@fon.rs

You can find me on the Social Web:
  Twitter   del.icio.us   LinkedIn

And the Semantic Web: FOAF

Bio Sketch

Jelena Jovanovic is an Associate Professor at the Department of Software Engineering, University of Belgrade, Belgrade, Serbia. She received her B.S., M.Sc. and PhD degrees in Informatics and Software Engineering from the Department of Information Systems and Technologies, University of Belgrade in 2003, 2005, and 2007, respectively.

She is teaching undergraduate and postgraduate courses in programming and applied artificial intelligence. As a researcher, for years, she was primarily focused on semantic technologies, particularly, Semantic Web / Linked Data technologies, and their application in the educational domain. In the last few years she is more into statistical / machine learning methods and techniques, social network analysis, and other computational approaches that allow for data analysis and extraction of meaningful information from unstructured data. She is particularly interested in combining these methods and techniques (machine intelligence) with large-scale knowledge bases (collected human intelligence) for better understanding of the learning process. Her interests also include how the insights obtained from the data can be effectively communicated to teachers and/or learners, as a meaningful feedback.
She is a member of the GOOD OLD AI, LS3@Ryerson, and InterLab research networks.

Research Interests

Semantic Technologies; Technology-Enhanced Learning; Applied Machine Intelligence, especially, Learning Analytics; Social Network Analysis

Current Position

Associate Professor at the Department of Software Engineering, FOS - Faculty of Organizational Sciences, University of Belgrade.
Working on the following modules:
   — Programing 2 (undergraduate course)
   — Intelligent Systems (undergraduate course)
   — Applied Artificial Intelligence (masters course)
   — Social Network Analysis (masters course)
   — Artificial Intelligence (PhD course)
   — Requirements Engineering (PhD course)

Recent Projects

Disciplinary Discourse Analytics for Deep Learning   
GRASS - Grading Soft Skills (LLP EU project)
Knowledge-Driven Information Extraction from the Web