Nadeen has a bachelor's degree in computer science, she was actively working to spread her beliefs about open-source culture during the academic years and was the first lady to become an official member of Ubuntu and Fedora-Project ambassador in the Middle East, and she was also a member of GWITA (Google Women In Technology Ambassador). Nadeen started her professional career as a Linux system administrator, then moved to one of the biggest challenges in her career as an automation lead in Vodafone in parallel with being R&D team lead and hard researcher. Currently, she is working as an IT Infrastructure Architect at SAP and preparing her Master’s thesis in Machine Learning in which she decided to develop a smart automation solution to predict and solve infrastructure related issues.

Shima is a research scientist in natural language processing at Fraunhofer, Germany. Being interested in both theory and practice of computer science, she entered the Bachelor’s degree program in this field of study at Tehran Polytechnic University, Iran. She received her M.Sc. degree from the same university in 2014. She obtained her Ph.D. degree in machine learning and natural language processing at TU Dresden, Germany.

Sarah studied physics at the Technical University of Dresden, where she got excited about machine learning when writing her master's thesis in CERN data analysis. After receiving her master's degree in 2016, she joined a research center for data-driven business in Graz to dive deeper into the field of data science. There she focused on deep learning algorithms, especially the application of deep reinforcement learning for autonomous driving. Since October 2018, Sarah works on utilizing machine learning to solve problems in retail and logistics at Otto Group Solution Provider in Dresden.