Curriculum Vitae
Kate Arkhangelskaya embarked on her Ph.D. journey in January 2024, delving into explainable AI, in-network computing, and haptic communication. With a robust background as a software engineer in diverse applications, she aims to integrate practical insights into her research pursuits. Prior to joining CETI as a researcher, she worked as a Research Assistant at the Chair of Industrial Design and Engineering, leading data analysis and machine learning for the veiio project. In 2022, she attained her Masters in Computer Science from Saarland University, exploring neural network explainability and disentanglement in her thesis. Concurrently, she contributed to research on Domain Adaptation for Question Answering at DFKI and Core Sets for Deep Learning at CISPA Helmholz Center for Cybersecurity.
Projects/Cooperation within CeTI you are already involved in:
veiio
What is your research interest?
Explainable machine learning for in-network computing and human-machine collaboration
What motivated you to do what you do today?
Desire to make ethical, but practical contributions to society combined with curiosity about learning processes, nature of knowledge and love of science in general.
What do you find particularly interesting about CeTI?
The interdisciplinary approach, the aim to improve lives of people and the people themselves.
To which question have you not found an answer lately?
How do I get a couple more hours in the day to do everything I find interesting without moving to Venus (I do not like the climate there).
How do you spend your free time?
Aquiring too many hobbies, especially the ones that involve fiber arts.
