Evangelia Chrysochoou is a post doctoral researcher in the Hellenic Institute of Transport at the Centre for Research and Technology Hellas. She completed a post doctoral fellow at Université Laval (Québec, Canada) in 2017. She completed her PhD at University of Thessaly (Volos, Greece) in 2015. She majored in applied mathematics and holds a MSc in operations research and statistics from Aristotle University of Thessaloniki Greece. She has more that ten years’ experience in research and development, and have worked in more than 20 research project in CERTH/HIT. Currently she is working on development of applied mathematics to derive machine learning algorithms for the detection of driver / rider state(with emphasis on fatigue/drowsiness, inattention /distraction, stress and emotions) monitoring in the context of H2020 project ADAS&ME. Her major research interests include applying operations research to transportation research and integrated logistics, stochastic optimization, queuing theory as well as big data, data analytics and meaningful visualization of data. She is aptitude for mathematics and enjoys solving real – world engineering problems applying optimization techniques. Her interests are in developing exact methods and math-heuristic for the family of Vehicle Routing Problems. Her work has been published in international academic journals (such as Journal of the Transportation Research Board) and presented in international conferences (such as Transportation Research Board Annual Meetings TRB, European Conference on Operational Research EURO - INFORMS).