Artificial Intelligence in Higher Education: Generative AI, Personalized Learning, Digital Transformation explores how artificial intelligence is reshaping modern higher education. Edited by Michail Kalogiannakis, Michail Papadakis, and Vassilis Lampropoulos, the book examines the growing role of generative AI technologies in teaching, learning, assessment, research, and university administration. The book discusses how AI-powered systems can support personalized learning experiences, adaptive educational environments, and data-driven decision-making in universities. It also analyzes the opportunities and challenges associated with digital transformation in higher education, including ethical concerns, academic integrity, privacy, and the future role of educators. Key topics include: Generative AI applications in education Personalized and adaptive learning systems AI-assisted teaching and assessment Learning analytics and intelligent tutoring systems Digital transformation strategies for universities Ethical and social implications of AI in education Future trends in educational technology This book is intended for researchers, educators, graduate students, instructional designers, and professionals interested in educational technology and artificial intelligence in higher education.