Neveen Shlayan (EE), Mili Shah (Math), Dirk Luchtenburg (ME), Ben Davis (ChE)
The Autonomy of “Smart” Cities is a cross-disciplinary course that is dedicated to finding technology-based solutions to some of the most pressing issues that are currently facing our cities. This course will focus on closed-loop systems in order to explore a more sustainable transportation, energy, and urban agricultural structures that promote the autonomy of our communities and enhance the livability of our cities. Students will be expected to develop complete solutions (design and implementation) integrating ideas and concepts from different disciplines such as: design, ML, Robotics, IoT, hardware design, vision, lighting, and control theory.
- Self-Drive: an autonomous vehicle project.
- Net-Zero-Surrey: designing a sustainable transportation solution for more livable future cities.
- Urban Agriculture: enabling the urban community to produce their own food.
- Robotics Arms: modeling human motion with robotics arms.
- Drones: sling load and cooperative drones