Dr. Gaetano Di Caterina is a lecturer in the Department of Electronic and Electrical Engineering at the University of Strathclyde and a fellow of the HEA. Having completed a PhD in video analytics for smart surveillance, in the Centre for Signal and Image Processing, within the EEE Department at Strathclyde, his background and areas of expertise reside in signal, image and video processing, with particular emphasis on biosignal and imaging, and multi-dimensional signals. He is the Director of the Neuromorphic Sensor Signal Processing Lab in the EEE Department, supervising PhD students and PostDoc researchers working on various applications within these broad research areas. He is the Principal Investigator and Co-Investigator on various projects in collaboration with national and international partners, and he is also Course Director of the MSc in Machine Learning and Deep Learning, at the University of Strathclyde. His current research interests are in Neuromorphic Engineering, Machine Learning and Deep Learning, Digital Signal Processing, and Embedded Systems.
Dr. Gaetano Di Caterina is a lecturer in the Department of Electronic and Electrical Engineering at the University of Strathclyde and a fellow of the HEA. Having completed a PhD in video analytics for smart surveillance, in the Centre for Signal and Image Processing, within the EEE Department at Strathclyde, his background and areas of expertise reside in signal, image and video processing, with particular emphasis on biosignal and imaging, and multi-dimensional signals. He is the Director of the Neuromorphic Sensor Signal Processing Lab in the EEE Department, supervising PhD students and PostDoc researchers working on various applications within these broad research areas. He is the Principal Investigator and Co-Investigator on various projects in collaboration with national and international partners, and he is also Course Director of the MSc in Machine Learning and Deep Learning, at the University of Strathclyde. His current research interests are in Neuromorphic Engineering, Machine Learning and Deep Learning, Digital Signal Processing, and Embedded Systems.