The Department of Electrical and Computer Engineering has six core research areas. Explore each area by clicking on the titles below.
ECE is engaged in cutting-edge biomedical technology research, which promises to have large impact on health care and quality of life. We use engineering methods to develop new devices, algorithms, and systems to improve disease diagnostics, treatment, and health care delivery.
We are engaged in leading-edge research in many areas of communications, networking, and signal processing. We are driven by their potential impact on our society and environment. Our focus is on the design and evaluation of architectures, algorithms, protocols, and management strategies for communication systems.
Computer and Software Systems
We are living in a world where computer systems pervade every aspect of our lives. These systems range from small, embedded devices to large-scale data centres and servers. The quality of our lives thus depend on the fast and correct operation of these systems; however, the complexity of these systems necessitates the application of rigorous design and analysis principles to ensure their performance, dependability, security and usability.
Emerging Micro/Nano Technologies
An exciting and emerging field of electronics in which technologies on the scale of a billionth of a meter integrate mechanical, fluidic, biological and optical components. Nanometer scale technologies are forcing changes in the way in which we view and use communications and information.
We are dedicated to enhancing the understanding of the control, production, transmission and consumption of electrical energy by developing models, devices and software for faster and more accurate analysis of electromagnetic transients, rotating machines, distributed generation and advanced power electronic devices.
Optimization, Learning, Control
Our vision is to formulate and solve fundamental problems arising in learning systems. These problems are motivated by the needs for safety, robustness and fairness of learning algorithms in applications ranging from healthcare, robotics and transportation to economics and public policy.