WiDS Kingston is an independent event that is organized by WiDS Kingston Canada as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 150+ locations worldwide, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.

A “ Glance at the past” is a project that aims to help patients who suffer from memory loss and Alzheimer's disease. Its main objective is to create a technological assistant for the patients in their daily lives to ease making normal activities, remembering names, events and people. In order to do so, an object recognition model was developed to stimulate the patients' memory and help them discover their surroundings. Inspired by the Moto "Our memory is our forever treasure " and using deep learning methods, the proposed project converts input data into comprehensive scripts.

Event on ZOOM.

Speaker Bio

Marie-Rita Hojeij received the B.E. degree in Telecommunications Engineering from the Holy Spirit University of Kaslik in 2013, and the PhD in fifth generation mobile communication systems, in 2017, from IMT Atlantique, France.

She is currently a full-time assistant professor and the orientation coordinator at the school of engineering of the Holy Spirit University of Kaslik. She has supervised a large number of Master theses. She has been the recipient of several research grants from the Lebanese National Council for Scientific Research and the Franco-Lebanese CEDRE program. She has been awarded as the best tutor in the Huawei global ICT competition 2019. She serves as reviewer for several journals (IEEE Journal on Selected Areas in Communications, IEEE Communications Letters, Signal Processing: Image Communication, Digital Signal Processing, etc.) and conferences (IEEE VTC, IEEE Globecom, IEEE ICECS, EUSIPCO, ICT, etc). She has six registered patents in Europe, USA, Japan, China, and Korea. Her current research interests include 5G systems, resource allocation, computer vision, artificial intelligence and machine learning.