Ionut Anghel

Ionut Anghel is an Associate Professor at the Department of Computer Science within the Faculty of Automation and Computer Science at Technical University of Cluj-Napoca, Romania. His research spans smart energy systems, blockchain applications, healthcare technologies, and artificial intelligence, with numerous publications in high-impact journals and conferences from 2008 to 2025. He maintains strong collaborative relationships with researchers across Europe, particularly with Tudor Cioara, Ioan Salomie, and Marcel Antal.

Dr. Anghel's research interests focus on the intersection of computer science and energy systems, with particular emphasis on smart grid optimization, peer-to-peer energy trading mechanisms, blockchain applications for energy management, and AI-driven solutions for healthcare. His work demonstrates a consistent trajectory from foundational research in data center optimization to current cutting-edge work on federated learning for renewable energy prediction and AI-assisted healthcare solutions. His recent publications show increasing focus on integrating large language models with digital twin technologies for energy applications.

His scholarly contributions demonstrate significant impact in both theoretical frameworks and practical implementations, with publications in IEEE Access, Sensors, Future Internet, and other reputable venues. The breadth of his work spans from theoretical game theory applications to concrete healthcare platform implementations, reflecting a versatile research portfolio that bridges multiple domains.

Dr. Anghel has been actively involved in European research initiatives, particularly those focused on energy systems and healthcare technologies, with recent work examining transitional care pathways and cognitive decline management through innovative technological approaches.