Patricia Nieva, PhD, P. Eng., received her M.S. degree in mechanical engineering and her PhD degree in electrical engineering from Northeastern University, Boston, Massachusetts, US, in 1999 and 2004, respectively.
In 2005, she joined the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, Waterloo, Canada, as an Assistant Professor. She has been the Deputy Chair of her Department since 2016, and since 2018, she has been a Full Professor with the same University. She founded the Sensors and Integrated Microsystems Laboratory (SIMSLab) in 2005. She is an expert on microsensors, nanosensors, and intelligent sensor system solutions for real-time parameter monitoring. Her research involves projects such as embedded sensors for in-line performance monitoring of Lithium-Ion battery cells for electric vehicles, highly sensitive fiber-optic based salivary sensors for hormone panel testing, and nanoparticle-based plasmonic sensors to measure the concentration of proteins in blood. She is also currently leading the development of intelligent Bluetooth-based wearables that combine advanced sensing technologies with Artificial Intelligence (AI) to enable digital contact tracing of infectious diseases and continuous health monitoring. She holds one Canadian and one US patent and has authored and co-authored more than 90 journal and conference publications.
Patricia Nieva, PhD, P. Eng., received her M.S. degree in mechanical engineering and her PhD degree in electrical engineering from Northeastern University, Boston, Massachusetts, US, in 1999 and 2004, respectively.
In 2005, she joined the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, Waterloo, Canada, as an Assistant Professor. She has been the Deputy Chair of her Department since 2016, and since 2018, she has been a Full Professor with the same University. She founded the Sensors and Integrated Microsystems Laboratory (SIMSLab) in 2005. She is an expert on microsensors, nanosensors, and intelligent sensor system solutions for real-time parameter monitoring. Her research involves projects such as embedded sensors for in-line performance monitoring of Lithium-Ion battery cells for electric vehicles, highly sensitive fiber-optic based salivary sensors for hormone panel testing, and nanoparticle-based plasmonic sensors to measure the concentration of proteins in blood. She is also currently leading the development of intelligent Bluetooth-based wearables that combine advanced sensing technologies with Artificial Intelligence (AI) to enable digital contact tracing of infectious diseases and continuous health monitoring. She holds one Canadian and one US patent and has authored and co-authored more than 90 journal and conference publications.