Wayne Pilkington

Associate Professor 

Winter 2026 Schedule

Time	Monday	Tuesday	Wednesday	Thursday	Friday
8:10-8:30 AM				O   F   F     C A M P U S
8:40-9:00 AM
9:10-9:30 AM
9:40-10:00 AM
10:10-10:30 AM	EE 228-01 (26-103A)	EE 228-01 (26-103A)	EE 228-01 (26-103A)		EE 228-01 (26-103A)
10:40-11:00 AM
11:10-11:30 AM		EE Dept Mtg (20-206)	OFFICE HOUR
11:40 AM-12:00 PM
12:10-12:30 PM	EE PRC	OFFICE HOUR	EE PRC		EE PRC
12:40-1:00 PM
1:10-1:30 PM	EE Curriculum (20-206)	EE 599  MS Thesis			OFFICE HOUR
1:40-2:00 PM
2:10-2:30 PM	EE 328-01 (10-227)		EE 328-01 (10-227)		EE 328-01 (10-227)
2:40-3:00 PM
3:10-3:30 PM	OFFICE HOUR	OFFICE HOUR
3:40-4:00 PM
4:10-4:30 PM	EE 599 MS Thesis
4:40-5:00 PM
5:10-5:30 PM
5:40-6:00 PM
6:10-6:30 PM
6:40-7:00 PM
7:10-7:30 PM
7:40-8:00 PM
8:10-8:30 PM
8:40-9:00 PM
9:10-9:30 PM
9:40-10:00 PM

Biography

Wayne Pilkington is an Associate Professor in the Electrical Engineering Department, teaching in the areas of digital signal processing, linear system analysis, digital system design, and introduction to EE laboratories at Cal Poly since 2005. He received his PhD in Electrical and Computer Engineering from the University of Rochester; where he participated in research into advanced methods for improving medical ultrasound image quality and resolution using novel signal processing approaches for aberration correction.  Prior to this, during his 17-year professional career at the Eastman Kodak Company, Wayne learned all aspects of product commercialization working as a Design Engineer, Manufacturing Engineer, Quality Engineer, Advanced Development Engineer, Digital Design Group Leader, Analog Electronics and Systems Group Leader, and Program Manager in the Clinical Products and Optical Storage Products Divisions.  Wayne integrates his knowledge of hardware/software co-design, concurrent product development, and critical skills for professional success gained from these experiences into his classroom and laboratory instruction.  His ongoing research interests include recognition of healthy and pathologic indicators in biomedical (EMG,EEG,ECG) signals, medical image improvement and interpretation, and novel musical analysis, synthesis, and display methods.

Education

• Ph.D. Electrical Engineering, University of Rochester, New York (2005)
• M.S. Electrical Engineering, University of Rochester, New York (1999)
• M.S. Electrical Engineering, Rochester Institute of Technology, Rochester, New York (1989)
• B.S. Electrical Engineering, Lafayette College, Easton, Pennsylvania (1981)

Teaching and Research Interests

• Digital Signal Processing
• Digital Image Processing
• Medical Imaging
• Ultrasound Image/Signal Processing
• Digital Music