Biography
Aleksandra Pavlović is employed at The Academy of Applied Studies Polytechnic, Belgrade, as lecturer. At the end of 2022, she defended her doctoral dissertation at the department of Industrial Engineering and Engineering Management at the Faculty of Technical Sciences, University of Novi Sad. She is the author of a large number of scientific and professional papers, and a participant in numerous scientific conferences and meetings. Her special interest focuses on Foreign Direct Investments and its impact on economic growth and environmental degradation in the Republic of Serbia and region.
Conference contributions 1
AI IN DIGITAL TWINS
Digital twin is a dynamic, virtual replica of a physical object, process, or systems. AI (Artificial Intelligence) represents the capability of computer systems to perform tasks that typically require human cognition, as reasoning, problem-solving and learning. It operates by processing large amounts of data through complex algorithms to identify patterns, make predictions and automate processes. AI combined with digital twins creates specific added value. The use of generative AI increases the power of the digital twin technology. By leveraging AI algorithms like machine learning (ML), neural networks and generative AI, these digital, virtual replicas analyze real-time IoT data, predict future states and behaviors, and autonomously optimize physical assets, simultaneously saving time and resources. The listed transforms digital twins from passive 3D model into active, so called autonomous problem-solvers. AI-powered digital twins technology is revolutionizing cloud computing by providing dynamic, intelligent models, that replace real physical systems. By connecting real-time IoT sensor data with ML, AI enables these digital replicas to predict equipment failures, optimize workflows, simulate "what-if" scenarios, dramatically reducing downtime and costs across industries. With ML, as the field od AI, and generative AI systems can continuously learn, predict equipment failures, compare various scenarios and suggest demand optimizations. Agentic AI can independently monitor conditions and execute control signals. Key industry applications of mentioned technology include: intelligent manufacturing, smart cities, robotics, logistics, energy and power grids, aerospace, healthcare.