Artificial Intelligence and Complex Dynamical Systems

Giorgos Tsironis is Professor of Physics at the Department of Physics of the University of Crete in Greece, affiliated researcher at the Institute of Electronic Structure and Laser of FORTH and also the Director of the Institute of Theoretical and Computational Physics of the University of Crete. He is also visiting faculty in the School of Engineering and Applied Sciences of Harvard University. He obtained his PhD in Theoretical Condensed Matter and Statistical Physics from the University of Rochester in USA in 1987. He was then a postdoctoral associate at the University of California San Diego and the Fermi National Accelerator Laboratory before becoming an assistant professor of Physics at the University of North Texas while also affiliated with the Superconducting Super Collider Laboratory. He joined the Department of Physics of the University of Crete in 1994 as associate professor and became professor in 2000. During his carrier he was long-term visiting faculty in numerous institutions such as University of Barcelona in Spain, Technion in Haifa, Israel, Nazarbayev University in Kazakhstan, Cambridge University in the UK and Harvard University in USA. He has been affiliated with Los Alamos National Laboratory and a frequent visitor of its Center for Nonlinear Studies for many decades.

His research interests are in the areas of condensed matter physics, statistical mechanics, nonlinear physics, complexity, biological physics and metamaterials. In 1997 he was awarded the international Stephanos Pnevmatikos award for his "many contributions to nonequilibrium statistical mechanics and the theory of solitons in non-linear lattices, with applications to molecular crystals and biophysics". His recent research focus involves the role of nonlinearities and breathers in superconducting as well as quantum metamataterials. He has published over 200 papers in refereed journals while he (co-)organized a number of international conferences, workshops and advanced summer schools in the area of statistical mechanics and non-linear physics.

In recent year his research and teaching is focusing in the use of artificial intelligence (AI) in complex systems. He established a sequence of two undergraduate courses "Introduction to Data Science and Machine Learning" that are being taught at the University of Crete and also established a Master program at the Greek Open University on Data Science and Machine Learning. He taught the research course on "AI and Complex Dynamical Systems" at Harvard and the University of Crete. He has used AI in medical and biological applications, such as cardiology, COVID-19 virus spreading and neurodegenerative diseases, in detecting chimeras in complex, spatiotemporal networks as well as in quantum targeting processes.