Smart cities have become an increasingly popular idea for better managing shared and limited resources. By using advanced technology, smart cities build networks comprising humans and various systems that work collaboratively to solve problems in governance, society, and infrastructure. Smart cities analyze large amounts of data to improve efficiency in a variety of areas including transportation systems, building management, and electrical infrastructure.
In this team, students will work hands-on with various aspects of smart city research which may lead to commercial products, research papers, and technology demonstrations. Application areas include building management, traffic management, self-driving cars, and data processing systems. Students on the team will demonstrate and improve their skills in software engineering, electronics, data science, machine learning, and communication. Students are expected to have a background or interest in the following (or similar) areas: machine learning, control theory, robotics, data processing and visualization infrastructure, and sensor networks.
Projects will include:
- Scale model smart building testbed
- Scale model autonomous car
- Data ingestion and visualization infrastructure
- Intelligent traffic control testbed
- Scale model Smart city testbed
Interested? Contact Prof. Sherif Abdelwahed (firstname.lastname@example.org)