Ten leading r researchers recognized with Connaught Innovation Awards
Published: March 29, 2021
Ten r researchers are receiving Connaught Innovation Awards to help them accelerate the development and commercialization of their promising technologies.
The winning projects were selected for their strong socio-economic and commercial potential and are expected to make a positive impact on society.
“One hundred years ago the world-changing discovery of insulin at the r sparked a century of health innovation and advances by r researchers,” said Ted Sargent, r's vice-president, research and innovation, and strategic initiatives. “That legacy continues through programs such as the Connaught Innovation Awards – and the transformative research these fund today.
“From medical devices that allow us to better study the gut microbiome, to advances in sustainability that will make our planet a healthier place to live, this year’s winners are making important contributions locally and globally through their research – and I look forward to seeing the impact of their work.”
The winners are:
- Mansoor Barati of the department of materials science and engineering: Process Scale-up for a Novel Method of Nickel Extraction
- Eric Diller of the department of mechanical and industrial engineering: Non-invasive Sampling in the Gut using a Magnetic Capsule
- Levente Diosady of the department of chemical engineering and applied chemistry: Iron Fortification of Tea Beverages
- Roman Genov of the Edward S. Rogers Sr. department of electrical and computer engineering: Energy-Efficient Coded-Exposure-Pixel Cameras for Accurate Imaging without Motion Artifacts
- Patrick Gunning of the department of chemical and physical sciences: Picomolar HDAC6 Inhibitors for the Treatment of Hematological Malignancies
- Emma Master of the department of chemical engineering and applied chemistry: 2-ZYME: Two-Step Biocatalytic Conversion for Underused Biorefinery Side-Streams to Glucaric Acid
- Prasanth Nair of the Institute for Aerospace Studies: Computational Framework for Fast Uncertainty Quantification and Decision Analytics
- Taufik Valiante of the department of surgery: Implantable Neuromodulation Device for Comparative Medicine in Canine and Human Epilepsy
- Yu Sun of the department of mechanical and industrial engineering: Development of an Automated System for Blastocyst Biopsy with Minimal Invasiveness in IVF Clinics
- Xiao Yu (Shirley) Wu of the Leslie Dan Faculty of Pharmacy: Development of a Nanotechnology-based Platform for the Central Nervous System (CNS) Diseases
