Jelena Vasiljevic is a Full Professor of Intelligent System at the School of Computing, Union University in Belgrade. She teaches  courses at the PhD, Master’s and undergraduate levels. At the PhD level, she teaches Analysis and Design of Genetic sequences. At the Master’s level, she teaches Bioinformatics, Robotics, Neural Networks, Fuzzy Logic and Knowledge-Based Systems. At the undergraduate level, she teaches Intelligent Systems (Artificial Intelligence), Neural networks, Genetic Algorithms and Robotics.
She is also a Scientific Associate at “Mihajlo Pupin” Institute in Belgrade, Serbia, where she works on scientific research projects related to various scientific problems, including:

• • Digital Image Processing (Application of Multifractal analysis in cancer diagnostic);
  • Telecommunications (developing more devices and software in the field of telecommunications research interests include medical image analyzing);
  • Biomedical Engineering (with practical and useful application in health improvement);
  • Managing research supported by government development grants with budget size over 400, 000 e annual (per each project, and there are two usually per year).

Recent Awards

• • Top ten Ph.D from Serbia in past several years, awarded by: Centar for Promotion of Science
    June 2016, Belgrade , Serbia;
  • The Best Researcher in 2014, awarded by Institute Mihajlo Pupin.
    Dec 2014, Belgrade , Serbia;
  • First Prize Award – Medident at International Medical Fair 2014 for Project for Cancer Diagnostic
    Oct 2014, Belgrade , Serbia;
  • Special Award on International Technical Fair, for PhD work in the area of Cancer Image Detection
    May 2014, Belgrade , Serbia;
  • One of top ten women 2014, awarded by Magazine Blic Women
    January 2015 Belgrade , Serbia
  • Female Hero , awarded for Projects in Medical Image Cancer Detection Research
    8th March 2015, Belgrade , Serbia;
  • Listed in Oxford Encyclopedia – under Successful People of Serbia;
  • Media: Multiple reports in media (TV and newspapers) as one of the best medical improvements applying technology in cancer diagnostics.