Chrissanthi Angeli is a distinguished academic, researcher, and professor in the field of Artificial Intelligence, Intelligent Systems, and Electrical and Electronics Engineering. She is currently affiliated with the Department of Electrical and Electronics Engineering at the University of West Attica, Greece. With a strong academic background and extensive international research experience, Professor Angeli has established herself as a respected scholar in intelligent diagnostic systems and AI-driven engineering applications. Professor Angeli completed her MSc in Intelligent Systems from the University of Plymouth and earned her PhD in Intelligent Fault Detection Techniques from the University of Sussex. Throughout her academic career, she has contributed significantly to the development of expert systems, real-time monitoring technologies, simulation-based fault diagnosis, and intelligent control systems. Her research work has been widely published in prestigious international journals, conference proceedings, and scientific books. She has actively collaborated with researchers from different countries and has contributed to interdisciplinary advancements involving artificial intelligence, automation, control systems, machine learning, transformer-based text summarization, and emergency information systems. Professor Angeli has also served as an associate editor, reviewer, editorial board member, and international program committee member for numerous reputed international journals and conferences. With decades of academic excellence and scientific contribution, Professor Angeli continues to play an important role in advancing intelligent engineering technologies and promoting innovative AI applications in both industrial and research environments.

The research interests of Chrissanthi Angeli include: Artificial Intelligence and Intelligent Systems Expert Systems and Knowledge-Based Systems Intelligent Fault Detection and Diagnosis Real-Time Monitoring and Control Systems Hydraulic Systems Modelling and Simulation Automation and Industrial Control Applications Machine Learning and Neural Networks Data-Driven Diagnostic Techniques Transformer-Based Text Summarization Social Media Data Analysis and Natural Language Processing Emergency Information and Disaster Management Systems Computational Intelligence and Simulation Technologies AI Applications in Engineering and Industrial Processes Her work focuses on developing intelligent, reliable, and real-time solutions for complex engineering and computational problems through the integration of artificial intelligence, modelling, and automation technologies.