The AIoT Edu Academy has successfully completed the first week of its program, marking the end of the theoretical phase and establishing a strong foundation for the upcoming practical activities.
During the first week, participants attended a series of online sessions covering key topics in Artificial Intelligence of Things (AIoT), with a focus on real-world applications across multiple domains.
Application of AIoT systems in medicine
Program overview, AIoT in medicine (WHC), practical AIoT examples and AI on the Edge introduction, Artificial Intelligence in Medicine.
AIoT-based Drone Systems
Theoretical foundations of AIoT-based drone systems, hardware design and implementation, real-world drone applications.
Application of AIoT in Systems for Predicting and Managing Natural and Man-Made Disasters
A session focused on applying AIoT technologies for disaster prediction, early warning systems and intelligent management of natural and man-made crises.
Legal aspects of AI application
A lecture addressing legal frameworks, ethical challenges and regulatory issues in the application of artificial intelligence.
The program opened with Prof. Dr. Radovan Stojanović, who presented “Application of AIoT Systems in Medicine with Emphasis on Wearable Healthcare (WHC)”, introducing how intelligent embedded systems are applied in modern healthcare. This was complemented by practical AIoT examples presented by Jovan Đurković.
In addition, Azra Rastoder, Stanka Mišeljić and Dubravka Šćekić introduced the concept of AI on the Edge, presenting key tools and frameworks for AIoT systems, along with an introduction to their upcoming practical experiment on fall detection, which will be further developed during the hands-on phase.
The healthcare perspective was further enriched by Prof. Dr. Vesna Miranović, pediatric cardiologist, who provided a clinical view on the application of artificial intelligence in medicine.
The program continued with a session on AIoT-based drone systems, delivered by Prof. Dr. Marko Simeunović and Dejan Jokić (MoDrone), combining theoretical foundations with real hardware insights and examples of drone development.
Applications of AIoT in smart agriculture were presented by Prof. Dr. Vesna Maraš, Vasilije Mirović (Plantaže) and Jovan Đurković (MECOnet), focusing on sensor-based monitoring and data-driven decision making for sustainable agricultural systems.
The theoretical phase also addressed AIoT applications in disaster prediction and management, presented by Dejan Jokić (Burch University Sarajevo) and Duško Petrović (Digit Montenegro), highlighting intelligent systems for early warning, monitoring, and risk mitigation
In addition to technical domains, the program included a session on the legal and ethical aspects of AI applications, delivered by Matija Stojanović, emphasizing the importance of responsible and compliant deployment of AI systems.
With the theoretical phase now completed, the AIoT Edu Academy moves into the next stage — on-site practical sessions and team-based project work, where participants will begin developing real AIoT solutions.
The successful completion of the first week confirms the academy’s mission to connect theory, technology and real-world systems in a dynamic and interdisciplinary learning environment.
More information:
🔗All the recorded lectures and materials can be found on the AIoT Edu Academy’s dedicated website.
🤝Join our LinkedIn group: https://www.linkedin.com/groups/14524509/
🤝 Co-financed by the Innovation Fund of Montenegro