Vladan Devedzic

University of Belgrade, Faculty of Organizational Sciences
Serbian Academy of Sciences and Arts, Department of Technical Sciences

Biography

Vladan Devedžić is a Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences.
He is the founder and Head of the research group focused on Artificial Intelligence (GOOD OLD AI research network). He is also the founder of the Artificial Intelligence Laboratory at his home faculty.

Since 2021, he has been a corresponding member of the Serbian Academy of Sciences and Arts (SASA) at the Department of Technical Sciences.

According to the list of world’s top scientists, published by Stanford University, he is among 0.6% of the most cited researchers in the “career” category in the field of Artificial Intelligence (for the period 1996-2024).

Vladan Devedžić’s continuous professional goal is to bring together ideas from the field of Artificial Intelligence / Intelligent Systems and Software Engineering. His current interests include artificial intelligence, programming education, software engineering, and technology-enhanced learning.
He has authored/co-authored about 400 research papers, published in international and national journals or presented at international and national conferences, as well as six books on intelligent systems and software engineering. Some of his papers have been selected by foreign editors and published in books on artificial intelligence systems. He has also given more than 20 invited talks, keynote talks and plenary talks at international conferences, as well as more than 20 tutorials.

His international research cooperation and collaboration record includes universities and research institutes from EU, USA, Canada, Japan, Australia, New Zealand, India and China. More recently, he has also initiated collaborations with universities in South America.

Keynote speech title

Red rAIn is pouring down

Abstract

Artificial Intelligence (AI) is a permanent presence, and education is already integrating it. Teachers leverage generative AI (GenAI) to design and evaluate assignments, create interactive learning programs, produce engaging materials, and much more. Administrative staff use GenAI tools to develop and manage budgets, analyze and generate ideas, establish and modify policies, among other uses.

However, a key question remains: what AI topics should be taught, at what educational levels, and how? This question is made more difficult by the rapid developments and changes in the AI field, which creates a challenge for educators and administrators to continuously update their courses and study programs to keep pace with the field’s evolution.

This presentation will illustrate this difficulty using examples from existing courses and pedagogical approaches, suggesting possible strategies for creating and maintaining AI curricula. It will also touch upon in-demand jobs in the AI industry, indicating the knowledge and skills that employers seek when advertising positions.