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Liviu Singher

-Author of articles in NDT.net here
-Posted 11 Forum Messages here
-Received 1 Like for Messages here
... is Male, is married, has 3 childreen

-Author of articles in NDT.net here
-Posted 11 Forum Messages here
-Received 1 Like for Messages here
... is Male, is married, has 3 childreen

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Address:Quality Assurance & Reliability, Technion, Haifa 32000
City:
Country:Israel
Email Address:
Institution:Technion

Education Degrees:B.Sc., M.Sc., Ph.D.
Work in or as:R & D,
Main Method or Other:NDT Wide, NDT

Liviu Singher
Lecturer, B.Sc. 1985 (Electrical Engineering); M.Sc. 1988 (Electrical Engineering- Electrooptics); D.Sc. 1994 (Quality Assurance - Electrooptics and Ultrasonics), all in Technion.
After receiving his doctorate in Quality Assurance and Reliability at theTechnion, Haifa, Israel, he filled a research position at the departmentof Agricultural and Biological Engineering, Purdue University. His research at Purdue included the development of sensing technologies which permit chemicals to be applied site-specifically on plants. He integrates image processing with optical pattern recognition techniques to form a real-time, cost-effective machine vision technology capable of detecting features of plants or pests, which indicate treatment is justified. The development of this intelligent machine vision system is intended to push the use of computerized image processing in agriculture. Another important aspect is the embedding of machine vision systems as a component of quality management systems.
His current research is aimed to study and develop novel techniques for non-destructive testing and evaluation which are implemented in the new quality assurance management era. Quality assurance essentially meets customer demand and quality standards. Food products need to be on-line controlled through objective and fully automated production systems, asfar as quality standards are concerned. The proposed techniques are basedon non-invasive non-contact testing conducted mainly by electrooptical and ultrasonic methods. The expected significance is both academic and applied. Advantages are cost efficient and more effective quality control.His research also includes development of sensors for Precision Farming which allows the replacement of the idea of average farming with specific treatment to specific areas.
Expertice in:Non-Invasive Non-Destructive Testing, Pattern recognition, Electro-opticalcomputing/signal processing, Ultrasonic inspection.


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Profile created 1998-Nov-01, updated 2016-Oct-10, Login to Edit

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