Research focus
Research themes
Space exploration is not only the frontier of technology innovation but is now also an important economic frontier. In 2018, the Canadian space industry generated $5.7B in revenue, employed 9,567 people nationwide (64% are HQP), and supported 20,891 jobs – a workforce multiplier of 2.18. Moreover, the market demand for AI in space exploration and for space robotics were both valued at US$2B globally in 2018. They are expected to grow at an annual rate of 7.25% and 8% over 2019-2026 respectively. The emerging commercial space economy, estimated at $1 trillion, will create jobs for HQP in Science, Technology, Engineering, and Mathematics (STEM) fields. In 2019, the Canadian government announced its participation in the NASA Lunar Gateway project to return humans to the Moon. This $2B+ investment will extend Canada’s leadership in space robotics. This new wave of space exploration is creating a surging demand in Canada and internationally for HQP with smart space robotics training.
Technical courses
Introduction to Artificial Intelligence: Designed to introduce the basics of AI to trainees who may not have a technical background in AI and computer science. The course will cover the basic concepts of AI with a focus on machine learning techniques, such as deep learning and reinforcement learning. It will introduce AI in different industrial applications such as computer vision, autonomous decision making, robotic path planning, and control. The trainees will complete the course with a demonstration of AI in action through a mini-project. Prerequisites include linear algebra, probability, and Python programming.
Fundamentals of Computer Vision: The course will cover fundamentals of computer vision in image formation, camera imaging geometry, feature detection, and classification, pose and motion estimation, and tracking. It will focus on developing basic methods for the applications that include finding targets in images, depth recovery from a stereo, image stabilization, automated alignment, tracking, and action recognition. Prerequisites include linear algebra, vector calculus, probability, and Python programming.
Autonomous Robotic System: This course will provide the basic concepts and algorithms required to operate robotics in complex environments with a focus on the nature of autonomous behaviour and decision-making capabilities by robots. Students will learn algorithmic approaches for robot perception, localization, and path planning with the Robot Operating System for demonstrations and hands-on activities. Prerequisites include linear algebra, vector calculus, dynamics, and Python programming.
Systems Engineering for Space Exploration: Using Model-Based Systems Engineering (MBSE) techniques throughout, this course will train HQP in the systems engineering approach to management and technical disciplines that optimize system effectiveness, enhance project success, and reduce risk. It will cover the underlying theoretical framework of systems engineering, project costs, schedule, and factors such as technical value, size, complexity, and quality. No prerequisite is needed.
Professional courses
Techno-society: Ethics of Emerging Technology: This new course is to help HQP understand the far-reaching ethical implications of emerging technologies of AI and AR, the new capabilities they afford, and their potential to affect the exercise of basic human rights. It will prepare HQP, as decision-makers, technology developers, scholars, and technology users. Students will learn the profound responsibility they have in future technological developments, potential impacts, the potential for abuse, and the future orientation of knowledge societies, ethical standards, and laws. Important network contacts will be shared among HQP.
Commercialization, Project Leadership & Communication: This new course will prepare HQP for collaborative team leadership with project management and communication skills. They will learn about enhancing the value proposition of novel technologies, overcoming barriers to adoption, strategic partnerships, and venture creation. Through mini-projects, HQP will develop business leadership and marketing skills, with a focus on the commercialization and sustainability of SMART-ART innovations. HQP will improve their interpersonal communication skills for both technical and non-technical audiences, learn how to influence and guide team members, acquire conflict resolution techniques, and consider multiple ethical principles.