Dr. Khatuna Kakhiani is a research scientist developing new training activities, organizing on-site and online training events, researching and teaching in the domains of artificial intelligence (AI), machine learning (ML), deep learning (DL), and high-performance computing (HPC).

Holding a PhD from the Karlsruhe Institute of Technology (KIT) in physical chemistry, Dr. Kakhiani’s scientific interests include artificial intelligence/deep learning, high-performance data analytics, quantum computing, green computing, exascale computing and high-performance computing in combination with multiscale modeling and simulation, reaction kinetics and dynamics, quantum chemistry, and materials modeling.

Teaching activities

Deep Learning day at ONLINE COURSE: From Machine Learning to Deep Learning: a concise introduction (2021)

ONLINE COURSE: Deep Learning and GPU programming using OpenACC (2020)

Deep Learning and GPU programming using OpenACC (2019)

Invited Lecture: "High Performance Computing (HPC) for chemistry and materials science" Conference Day of informatica feminale. (August 1, 2019)