Youssef Ibrahim

Ph.D. Student

Phone Number: 519-243-3000 extension 3393
E-mail: ibrahi9@uwindsor.ca


General Information

Education
1999 - Ph.D, Electrical and Computer Engineering
University of Windsor, Windsor, Ontario
1996 - 1999 Master of Engineering (Computer Engineering) Cairo University
Cario, Egypt
1989 - 1993 Bachelor of Science (Computer & Control Engineering) Ain Shams University
Cairo, Egypt

Thesis: Ultra Low-Noise Arithmetic using Cellular Neural Networks

In this work we develop circuit architectures for mixed-signal applications where the presence of digital switching noise is a major problem; for example, digital circuitry adjacent to sensitive biosensors. We describe methods for building ultra low-noise binary arithmetic circuits using analog cellular neural networks (CNNs), essentially implementing asynchronous digital circuits but replacing uncontrolled digital switching transitions with smooth analog transitions. Each node in our asynchronous architectures uses controlled current sources driving into capacitors; providing both low current and voltage time derivatives (di/dt and dv/dt) and, as a result, reducing both instantaneous and average system and cross-talk noise.

Supervisors: Dr. G.A.Jullien, Dr. W.C. Miller

Publications:
[1] J.J. Yeboah Jr., Y. Ibrahim, G.A. Jullien, and J.W. Haslett, "Ultra low noise arithmetic using cellular neural networks," Micronet Workshop 2004, April 26 & 27, 2004, Aylmer, Quebec
[2] Y. Ibrahim, A. Darwish, and S. Shaheen, "Energy Matching Based on Deformable Templates," The IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-99, USA

Awards:
2003 - 2004 Ontario Graduate Scholarship.
2001 - 2003 University of Windsor Tuition Waiver Scholarship.
1999 The Award of Distinction in Higher Studies, Egypt.

 



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