Dr. Safieddin Safavi-Naeini PhD

Research Scientist
Schlegel-UW Research Institute for Aging

Safieddin Safavi-Naeini is a Professor in the Electrical and Computer Engineering department and is cross-appointed to Mechanical and Mechatronics Engineering at the University of Waterloo. He is also the Director of the Centre for Intelligent Antenna and Radio Systems at the university (CIARS). CIARS features a unique multi-configuration electromagnetic radiation lab, including an anechoic chamber and terahertz measurement facility in which Professor Safavi-Naeini and his team explores terahertz radiation. In addition, Professor Safavi-Naeini holds the $4 million Natural Sciences and Engineering Research Council (NSERC)-Blackberry Senior Industrial Research Chair in Intelligent Integrated Radio/Antenna Systems and Novel Electromagnetic Media Technologies. This research chair program explores a number of generic and modular approaches essential to applying the latest advances in multi antenna structures, novel electromagnetic materials, micro- and nano-electronics and photonics, as well as efficient computational methods for the development of practical and industrially relevant approaches. Professor Safavi-Naeini’s work with terahertz technology poses a significant benefit to the pharmaceutical industry. He has devised a new process for quality control of pharmaceutical products, in which the total destruction of pills for analysis is eliminated and instead requires the use of 4D or tetrahertz cameras. This application exploits the properties of tetrahertz waves to both visualize and penetrate each pill as it comes off the production line. This penetration guarantees full chemical analysis, ensuring that all the medication produced has the intended composition. Professor Safavi-Naeini’s work with electromagnetic waves has also lead to the development of an inexpensive device for the pre-screening of skin cancer. This device uses microwave signals to illuminate the skin and test the reflection that the device receives. It is able to determine if there is a cause for concern based on the intensity of the reflected wave, which will potentially result in fewer biopsies.


Research Scientist

Schlegel-UW Research Institute for Aging

Professor
Electrical and Computer Engineering
University of Waterloo


Research Topics