**About the Editors**

### **Moulay A. Akhloufi**

Moulay A. Akhloufi has a Bachelor of Science in Physics from University Abdelmalek Essaadi (Morocco) and a Bachelor of Engineering from Telecom Saint-Etienne (France). He received his Master's and Ph.D. in Electrical Engineering from Ecole Polytechnique of Montreal and Laval University, respectively. He also holds an MBA from Laval University. He is currently Associate Professor in Computer Science, Head of the Perception, Robotics, and Intelligent Machines (PRIME) research group, and Director of the Center for Artificial Intelligence NB Power at Universite de ´ Moncton (Canada). Before joining Universite de Moncton in 2016, he worked in the computer vision ´ industry with Matrox ES (imaging division) and in technology transfer in machine vision and robotics with CRVI inc. His research interests are in the areas of artificial intelligence, computer vision and intelligent robotic systems. Professor Akhloufi is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and member of the Society of Photo-Optical Instrumentation Engineers (SPIE).

#### **Mozhdeh Shahbazi**

Mozhdeh Shahbazi (PhD, PEng) holds a BSc degree in survey engineering, MSc in photogrammetry engineering, and PhD in remote sensing. Her expertise is in the areas of computer vision, deep learning, photogrammetry, sensor integration and self-calibration, and robot vision. She joined the Department of Geomatics Engineering at the University of Calgary as a professor in 2016. Since 2018, she has been an adjunct professor at York University. In 2019, she took on the role of the lead scientist at the Centre de Geomatique du Qu ´ ebec. During this period of the ´ academic profession, she secured over CAD 5 million R&D funding as the principal investigator and project lead of competitive grants using which she established two research laboratories and a technology access center and trained over 30 highly qualified personnel. She became a machine learning specialist at Genetec Inc in 2021. In this role, she designed algorithms and software related to intelligent surveillance. In 2022, she joined the government of Canada as a computer vision and photogrammetry scientist where she is developing automated techniques for geo-referencing and processing historical images to extract various statistics related to the natural resources of the country. As part of her voluntary activities, she has been a secretary of the International Society of Photogrammetry and Remote Sensing, vice president of the Canadian Remote Sensing Society, associate editor of Canadian Journal of Remote Sensing, and co-editor in chief of Drone Systems and Applications. She has been an active participant and organizer of STEM outreach programs such as NSERC Chairs for Women in Science and Engineering, Women in Data Science, and Cyber Mentor.
