News
Mar 14, 2023
Dahiya Publishes Book on Sensory Systems for Robotic Applications
ECE Professor Ravinder Dahiya has published a book on “Sensory Systems for Robotic Applications.”
Mar 13, 2023
Wang Receives Additional Funding for Army Research Office Young Investigator Award
ECE Associate Professor Yanzhi Wang has received $450,000 in additional funding for his Young Investigator Award from Army Research Office.
Mar 10, 2023
We Need People with Different Perspectives to Solve Problems
BioE Assistant Professor Mona Minkara speech at the United Nations about the need for visually impaired people in the field of science earned her a standing ovation.
Mar 09, 2023
Xie Awarded NIIMBL Grant for mRNA Vaccine Potency Assessment and Prediction
Wei Xie, assistant professor of mechanical and industrial engineering, has received an award from the National Institute for Innovation in Manufacturing Biopharmaceuticals for “Advanced FISH Assay and Mechanism Hybrid Surrogate to Improve mRNA Vaccine Potency Assessment and Prediction.”
Mar 08, 2023
Training the Coming Generation of Grid-Interactive Efficient Building Operators
CEE Assistant Professor Michael Kane received a $750,000 award from the US Department of Energy to develop a training program for vocational technology high schools and community colleges that improves entry-level building operators’ literacy in grid-interactive efficient buildings.
Mar 08, 2023
College of Engineering Students Wins Campus Statistics Canada Hackathon at Toronto Campus
Toronto Campus COE students win Statistics Canada sponsored Hackathon.
Mar 08, 2023
Opening Doors for the DeafBlind Community
Bioengineering student Nick Scaperdas, E’24, is working with a group of students from the Sherman Center’s Generate program to develop a doorbell that can be used by DeafBlind individuals.
Mar 08, 2023
Shrivastava Awarded Patent for Developing Self-powered Machine Learning Vision Architecture for Edge IoT application
ECE Assistant Professor Aatmesh Shrivastava was awarded a patent for “Self-powered analog computing architecture with energy monitoring to enable machine-learning vision at the edge.”