Peter F. Driessen

Professor Peter F. Driessen is a faculty member in the Department of Electrical and Computer Engineering at the University of Victoria, with a cross-appointment in the School of Music. He holds a BSc and PhD from the University of Victoria and is a Professional Engineer (PEng). His research focuses on communication systems, signal processing, control, and interdisciplinary projects in computer music and wireless technologies. Key areas include audio/video signal processing, radio propagation, sound recording, and multimedia systems. He leads the University of Victoria Propagation Laboratory, which explores radio wave propagation and Amateur radio integration with engineering education. His work spans theoretical research and applied projects like ECOSat satellite systems, software-defined radio (SDR), and innovative musical instruments such as the Radio Drum. He supervises undergraduate and graduate projects in these domains through ELEC 499 courses. Notable contributions include the APEGBC Editorial Board Award for Best Paper (2002) and patents in wireless networking and signal processing. His teaching includes courses in signal analysis and electromagnetics, and he collaborates on interdisciplinary programs like the Music/Computer Science degree.

Education:

• BSc in Electrical Engineering, University of Victoria
• PhD in Electrical Engineering, University of Victoria

Research Interests:

• Audio and video signal processing for music and media
• Software-defined radio and Amateur radio technologies
• Satellite communication and ground station development
• Gesture-based interfaces and musical instrument design
• Error mitigation in streaming audio/video
• Optical and microwave-photonic systems

Labs & Collaborations:

• Propagation Laboratory (radio wave research)
• UVic Experimental Radio Group (Amateur radio club)
• UVic Satellite Design Team (ECOSat projects)
• UVic Centre for Aerospace Research

Grants & Awards:

• APEGBC Editorial Board Award (2002)
• Multiple US patents in wireless systems and signal processing