Our research work entails a wide spectrum of core electrical power engineering knowledge, including Control and Signal Processing techniques and modern Communication technologies. We welcome prospective PhD students, postdoctoral researchers, and collaborators with backgrounds or interests in integrated circuit design, sensor design, signal processing, computer vision, or machine learning. Current research topics of the group include model/controller reduction, filter design techniques, robust control and singular systems. Employers are seeking graduates who are equipped with the technical skills and knowledge to adapt to and evolve with industry developments.
In the visual domain, we develop CMOS image sensors together with computer vision and deep learning methods for object recognition, action recognition, and scene understanding. Gain knowledge on advanced programming techniques, discover new computer languages and networks, learn how to build complicated electronic circuits and specialise in the design and testing of electrical devices. The main goal of this workshop is to showcase the lmct plus casino clinical and scientific utility of computational biomechanics in computer-integrated medicine. We collaborate with many leading institutions, including Harvard Medical School, Lawrence Livermore National Laboratory, AIST Japan and Fraunhofer MEVIS.
The breadth and depth covered through interdisciplinary collaborations within the faculty offers an opportunity to gain more in-depth technical knowledge and skills to tackle the current challenges and opportunities that come with an uptake of renewable energy and distributed renewable energy in microgrids. A degree in Electrical and Electronic Engineering creates opportunities for you to develop sustainable energy solutions, design new technologies, solve detailed computer problems and work with some of the world’s best minds. Other work includes the design of embedded controllers and embedded operating systems, and other simulation systems. The Robotics and Automation Laboratory has been active for more than a decade doing research on all types of autonomous mobile robots, including intelligent driving and walking robots, autonomous underwater vehicles, and unmanned aerial vehicles. Our research scope encompasses renewable energy sources, Smart grids, power electronics (especially FACTS devices), dynamic simulation and estimation of power systems, identification and design of Micro grids, network efficiency optimization, and electric vehicles.
