I have a PhD in Computer Science and Electrotechnics and work at the Faculty of Electronic Engineering as an assistant professor. I teach courses that are strongly connected with Data Science, the Industrial Internet of Things, Modern Control of Industrial Processes, and Intelligent control. Additionally, I am the Chief of the Laboratory for Intelligent Control in the Control Systems Department. My instructional expertise encompasses courses strongly connected with Data Science, the Industrial Internet of Things, Deep Learning, Machine Learning in Python, Modern Control of Industrial Processes, and Intelligent Control. By imparting practical knowledge in these areas, I empower students to excel in their chosen fields. With over 45 published scientific papers, my research primarily revolves around Data Science, Deep Learning, and their practical applications. For more information, you can explore my research work at the following link: https://www.researchgate.net/profile/Miroslav_Milovanovic/research .
How on-device and cloud AI will foster the advancement and scalability of next-generation generative AI experiences
In both analytics and machine learning (ML), the value of data cannot be overstated. Understanding its importance is essential for unlocking its full potential and driving informed decision-making, enhancing business processes, and exploring new opportunities across various industry sectors.
Exploring the integration and impact of microcontrollers and Edge AI across various industries.
What to Consider When Selecting Your Edge AI Hardware and Software.
An Overview of the Different Edge AI Platforms.