izv. prof. dr. sc. Marina Bagić Babac

Associate professor, Department of Applied Computing

Function: Vice-Head of the Department

Location:
D-373
Public phone number:
6129-864
Internal phone number:
364
E-mail:
E-mail
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Special Issue Editor (call for papers): Advanced Retrieval-Augmented Generation Systems Based on Large Language Models

Selected scientific publications:

 

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Biography

Marina Bagić Babac is an Associate Professor at the Department of Applied Computing, where she is actively engaged in artificial intelligence research, contributing to multiple international projects that explore human thoughts and emotions using machine learning and natural language processing. She has mentored many theses at undergraduate, graduate, and doctoral levels, primarily in topics related to artificial intelligence and machine learning.

She earned her Dipl.Ing. degree from the Department of Telecommunications at the Faculty of Electrical Engineering and Computing, with an emphasis on scientific research. Early in her career, she worked as a C/C++ programmer at STROM Telecom in Prague.

She holds a Master of Science degree for her thesis titled "Formal Model for Specifications of Mobile Telecommunication Agents" and a Ph.D. for her dissertation "Verification of Dynamic Epistemic Properties in Multi-Agent Systems". During her postgraduate studies, she furthered her research at the Faculty of Electrical Engineering, Computing and Informatics at the University of Maribor and the Faculty of Computing and Informatics at the University of Ljubljana.

In addition to her technical background, she completed a Master’s degree in journalism (Press and Public Relations) at the Faculty of Political Science.

She actively contributes to the academic community as a program committee member for several international conferences, an editorial board member for various journals, and a reviewer for numerous international publications.

Teaching

University undergraduate

University graduate

Postgraduate doctoral study programme

Competences

  • Computational and artificial intelligence
    Artificial intelligence Machine learning Statistical learning Predictive models Artificial neural networks
  • Systems, man, and cybernetics
    Natural languages Natural language processing Sentiment analysis Emotion recognition  Affective computing
  • Computers and information processing
    Crowdsourcing Social computing Network theory (graphs) Data acquisition User-generated content Data analysis Data collection Data integration Data preprocessing Text processing Crowdsourcing Social computing Data mining Text analysis Text mining
  • Mathematics
    Machine learning algorithms Statistical analysis