Turgay Temel

Turgay Temel, received his PhD in 2002 in the area of hybrid-mode circuit design based on multi-valued logic and higher radices. In the field, he just completed a state-funded project which aims at using analog-wise information processing with digital concepts as a microarchitecture. The project was the first in this field in literature to his knowledge. His research interest diversifies, which spans to machine learning, neuroscience, biomedical engineering, sensor networks, biologically-inspired system and circuit design and high-performance circuit design. Recently, he has been focusing on reconfigurable analog systems with the hope that major units of intelligence can be emulated in an evolvable manner. The sensor development for biological information processing and bio-sensor systems have been at the core of his current scope. He has also developed unsupervised learning, i.e. clustering, techniques and currently working on single-step methods for high-performance pattern recognition.

Publications

System and Circuit Design for Biologically-Inspired Intelligent Learning
System and Circuit Design for Biologically-Inspired Intelligent Learning
Turgay Temel. © 2011. 412 pages.
Despite significant research and studies in biologically-inspired circuit design, the capability of the biological creatures still excels that of artificially human-made systems...
Biologically-Inspired Learning: An Overview and Application to Odor Recognition
Biologically-Inspired Learning: An Overview and Application to Odor Recognition
Turgay Temel. © 2011. 34 pages.
A general overview of biologically-inspired learning in the paradigm of artificial neural systems is described. In order to have the reader become familiar with fundamentals...
Biologically-Inspired Learning and Intelligence: Analog Circuit Design with Fuzzy Inference
Biologically-Inspired Learning and Intelligence: Analog Circuit Design with Fuzzy Inference
Turgay Temel. © 2011. 32 pages.
Since biologically-inspired intelligent systems with learning and decision-making capabilities vastly act upon comparison among inputs, the ability to select those inputs which...