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Awards

The Douglas R. Colton Medal for Research Excellence

Colton Medal

CMC Microsystems recognizes excellence in Canadian micro-nano research by Canada’s National Design Network through its annual Douglas R. Colton award. Established in honour of the founding president of CMC Microsystems, this award includes a medal and a monetary prize of $4,500.

Faculty, students or alumni who have successfully completed a Master’s or PhD degree in a Canadian university within the previous three calendar years are eligible for this award.

View the Nomination Guidelines  

2020 Winner

ColtonWinner_Briggs_2020

Dr. Kyle Briggs (University of Ottawa)

Dr. Kyle Briggs of the University of Ottawa has been awarded the 2020 Douglas R. Colton Medal for Research Excellence. Dr. Briggs co-invented the controlled breakdown method of fabricating solid-state nanopores. These tiny holes are approximately the same size as DNA or typical protein molecules, and allow scientists to study single biomolecules, one at a time. This innovation allows nanopores to be fabricated for a fraction of the cost of any method that preceded it and allows for integration into previously impossible devices, opening up new potential applications that were believed to be inaccessible.

View past Colton Medal winners

TEXPO

TEXPO Student Competition and Exposition

Established by CMC Microsystems, TEXPO offers graduate students in Canada’s National Design Network a unique opportunity to demonstrate their novel applications of micro-nano technologies to industry representatives and academic peers.

Students are invited to take part in TEXPO and compete for a total of $12,500 in awards in four categories:

2021 Winners

Excellence in Nanofabrication Award

Mahyar GhavamiMohammad Maadi

University of Alberta
Supervisor: Roger Zemp

Fabrication of Novel Realistic Capacitive Micromachined Ultrasonic Transducer (CMUT) Arrays for Medical Imaging and Therapeutic Applications

Sponsored by: Raith America, Inc.

Brian L. Barge Microsystems Integration Award

Laurent Chiasson-PoirierMathieu BergeronGuillaume Dion

Université de Sherbrooke 
Supervisor: Julien Sylvestre

Integrating processing and sensing in MEMS for biomechanical analysis 

We propose a new type of sensor which couples a capacitive accelerometer with a non-linear silicon beam resonator. This novel neuromorphic MEMS sensor combines sensing with a processing capability on a single silicon device. A machine learning method known as reservoir computing is used to adapt the output of the neuromorphic MEMS sensor to a target signal derived from the acceleration imposed on the device. To prove its capabilities, it is trained to differentiate a pathologic gait from a normal gait while acceleration waveforms of human walks are reproduced physically on a vibration shaker.

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Industrial Collaboration Award


Mahdi Behdani
University of Alberta
Supervisor: Rashid Mirzavand

A Miniaturized Portable Over-the-Air Measurement System for Characterization of 5G Integrated Communication Systems

Sponsored by: COMSOL

A portable near field (NF) measurement system is implemented in a mini anechoic chamber to debug and characterize the integrated devices deployed in the fifth generation (5G) communication technology. In this system, the NF data of the device under test (DUT) is acquired through novel methods and the obtained data is utilized to evaluate the performance of various wireless sub-systems such as micro-millimeter wave circuits and integrated antennas. The main advantage of the proposed setup over the conventional systems is its capability to characterize Integrated (Reconfigurable, Active, Phase Array …) Antennas where there is no access to the antenna to measure, separately. Since the integrated antennas are planed to be deployed in large scale in 5G technology, providing the telecommunication companies with such an economical measurement setup enables them to test their wireless products quickly and accurately, which is critical for those who are seeking opportunities in the 5G market.

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Micro-Nanosystems Design Award


Rahul Gulve
University of Toronto
Supervisor: Roman Genov

Energy-efficient Coded-Exposure-Pixel (CEP) Cameras for Accurate Computational Imaging without Motion Artifacts

Sponsored by: GLOBALFOUNDRIES

View past TEXPO winners

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