Our Quantum and Nanotechnologies Research Centre's Detection and Automation team specializes in micro and nano sensing device fabrication, including universal sample delivery, electronic signal routing for device controls and optoelectronic and optomechanic signal readout and data analysis.
The team has experience applying this expertise in researching and developing advanced adaptive optics for astronomy, electrochemical pathogen sensors, optomechanic mass sensing, and lab-on-a-chip devices.
Projects
Principal areas of expertise and facilities
- Electrochemical sensor design, fabrication, and systematic testing
- Microfluidic system design and fabrication, with on-board sensor integration
- Micro-electromechanical system (MEMS) and nano-electromechanical system (NEMS) device design, fabrication, and testing
- Novel nanoelectronic devices with targeted new functions in sensing
- Prototyping and integration
- Programming of systems for data acquisition (DAQ), control, transmission, and analysis
Our experts
Adam Bergren
Team Lead
- Analytical chemistry
- Nanoelectronics
- Optoelectronics
Email: Adam.Bergren@nrc-cnrc.gc.ca
Telephone: 780-641-1762
Abebaw Jemere
- Microfluidics
- Sensors development
- Electrochemical, mass and fluorescent-based detections
Miro Belov
- Electronics
- Optics
- Fabrication and prototyping
Rajesh Pillai
- Analytical chemistry
- Electrochemistry
- Surface modifications
- Organic electronics
Bryan Szeto
- Electronic measurement (DAQ)
- Data acquisition and processing
- Micro/nano-fabrication
- Vacuum systems
Wayne Hiebert
- Optomechanics
- Devices
Michael Bergen
- Programming
- Automation
- Machine learning
Nikola Pekas
- Microfabrication
- Microfluidics
- Sensors and actuators
- Optical microscopy
- Magnetics and electronics
Byoungyoul Park
- MEMS and adaptive optics
- MEMS actuators and magnetic field sensors
- Microfabrication
- 3D-printed electronics
Narges Shaabani
- Microfluidics
- Electrochemistry
Mehdi Nosrati
- Microwave and millimeter-wave engineering
- Design and fabrication of sensors