Keynote speakers

prof. dr Vladan Devedžić
Professor of Computer Science and Software Engineering at FON

Title: AI: Living is Easy with Eyes Closed

Abstract: Everybody's talking about Artificial Intelligence (AI). The hype is evident, and there is virtually no AI-free area any more – business, technology, military, agriculture, medicine, industry, law, arts, media, education, even sports and politics, all seem to be labeled 'AI', one way or another. However, does everyone who's talking about AI really understand what it is and what underlies it? Have they ever read any textbook on AI? Can they explain why they label products, actions, events and jobs 'AI'? What does a job in the area of AI look like? What does a job in another area look like if they say the job requires AI skills? Are the systems labeled 'AI' solid, robust, autonomous? If they are intelligent, how intelligent are they? How does one measure the intelligence of AI systems? What are the criteria to declare a system intelligent and not to discard it as dumb? Can AI go wrong, or rogue? Do clear trends in the development of AI as a field emerge or not? This talk touches upon questions like these, but it doesn't take sides; it rather indicates a variety of different views.


Vladan Devedžić is a Professor of Computer Science and Software Engineering at FON – School of Business Administration, University of Belgrade, Serbia. He also used to teach several Computer Science courses at the School of Electrical Engineering, University of Belgrade, as well as at the Military Academy of Serbia (ex Yugoslav Military Academy).

Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA)

His long-term professional objective is to bring close together ideas from the broad fields of Artificial Intelligence / Intelligent Systems and Software Engineering. His current professional and research interests include programming education, software engineering, intelligent software systems and technology-enhanced learning (TEL).

He is the founder and the chair of the GOOD OLD AI research network.
prof. dr Marko Suvajdžić
Associate professor of Digital arts & sciences, University of Florida

Title: Blockchain protocol and its mechanics: What is Blockchain, its recent history, and its uses

Abstract: The lecture will present foundations and functions of blockchain technologies, with the main focus on their integration into business systems. We will present the various blockchain protocols, discuss their expected development, and give recommendations on how to choose the protocol that best suits business needs. Further, we will discuss the possible applications of blockchain technologies in various domains that rely on the integration with AI and virtual reality, such as arts and creative industries, gaming, and metaverse. Finally, we will present the main results of projects conducted at the Blockchain Lab, University of Florida.


Marko is a diverse thinker with 25+ years of achievement in academia and the creative digital research and production space. His experience includes a range of digital startups and educational projects from artificial Intelligence-intensive video game titles for major corporate clients to co-founding five of his own startups. 

Marko is an Associate Professor in Digital Arts and Sciences, he is the Associate Director of the Digital Worlds Institute, and the founding director of Blockchain Lab at the University of Florida. His research at the University of Florida has been awarded over $8M in grant money to date. 

Marko’s work has been featured at Talks at GoogleTedX Salon, and he was a keynote speaker at the Game Developers Conference in San Francisco. He has lectured internationally at schools and conferences in the USA, UK, India, Australia, Turkey, UAE, Norway, China, and Japan

prof. dr Dejan Milojčić
Technologist at Hewlett Packard Labs, Palo Alto, CA

Title: Technology Predictions

Abstract: IEEE Computer Society (IEEE CS) has unveiled its annual Technology Predictions, addressing the long-lasting influence of the pandemic on tech advancements, new technology fundamentals, and anticipated trends shaping the industry for 2022 and beyond. No one can say with 100% certainty what path the future of technology will take, but IEEE CS experts in the field offer useful insights and predictions into some of the most influential possibilities. The top three tech trends that are anticipated to dominate in 2022 are datacentric AI, remote medicine, and health, safety, and wearable biomedical technologies.

Converging technologies increasingly play crucial roles in disruption and are becoming essential for our survival. Predicting technologies helps address pandemic impacts and concerns; it goes well beyond hypothetical exercise. The 2022 Technology Predictions provides a deep dive into each prediction with analysis of specific problems and current demands; the opportunities for the technology; the impact the technology will have on the public, products, services, and related technologies; and the sustainable solutions and business opportunities that it could potentially inhibit and/or enable.


Dejan Milojičić is a distinguished technologist and director at Hewlett Packard Labs, Palo Alto, CA [1998-present]. Previously, he worked in the OSF Research Institute, Cambridge, MA [1994-1998] and Institute "Mihajlo Pupin", Belgrade, Serbia [1983-1991]. He received his PhD from the University of Kaiserslautern, Germany (1993); and his MSc/BSc from Belgrade University, Serbia (1983/86). His research interests include systems software, distributed computing, systems management, and High Performance Computing. Dejan has over 200 papers, 2 books and 71 patents. Dejan is an IEEE Fellow (2010), ACM Distinguished Engineer (2008), and HKN and USENIX member. Dejan was on 8 PhD thesis committees, and he mentored over 50 interns. Dejan was president of the IEEE Computer Society (2014), IEEE presidential candidate in 2019, editor-in-chief of IEEE Computing Now (2008-2012) and IEEE Distributed Systems Online (2008-2009) and he has served on many editorial boards and TPCs. Dejan led large industry-government-university collaborations, such as Open Cirrus (2007-2011) and New Operating System (2014-2017).