Chris Tzanis

Dr. Chris Tzanis is an Associate Professor in climate physics and dynamics at the National and Kapodistrian University of Athens, affiliated with the School of Physics and the Section of Environmental Physics-Meteorology. He earned his B.Sc., M.Sc., and Ph.D. in Physics from the same institution. With expertise in climate modeling, atmospheric physics, and machine learning, he leads the Climate and Climatic Change Group, mentoring postdoctoral researchers, PhD candidates, and master's students. His research spans climate change, nonlinear processes, air quality, and remote sensing, supported by participation in 30+ national and international projects.

• B.Sc. in Physics, National and Kapodistrian University of Athens
• M.Sc. in Environmental Physics, National and Kapodistrian University of Athens
• Ph.D. in Physics, National and Kapodistrian University of Athens

Dr. Tzanis's research focuses on the intersection of climate dynamics, atmospheric physics, and machine learning. Key areas include nonlinear processes in climate systems, urban climate effects, extreme weather patterns, and air pollution impacts. His work leverages remote sensing and climate models to address challenges in energy-climate interactions and cultural heritage preservation.

His publications highlight trends in Mediterranean climate extremes, machine learning applications for environmental data, and solar-climate linkages. Articles span topics like urban park cooling, wildfire-climate interactions, and multifractal climate analysis, reflecting interdisciplinary integration of climate physics, data science, and environmental monitoring.

Scientific Awards: None listed.

Dr. Tzanis has supervised numerous PhD and master's students through his leadership of the Climate and Climatic Change Group and secured funding for 30+ research projects in climate science, air quality, and remote sensing. He serves as Associate Editor for journals like Atmosphere and Remote Sensing.

He actively collaborates with the Hygra-CD campaign and contributes to planetary boundary layer studies, air quality modeling, and solar-climate forecasting using advanced data assimilation techniques.