Integrated circuits have seen an explosion in the numbers of the transistors and extreme scaling in their sizes. Today’s ICs can have trillions of transistors at Nano-scale sizes. In this talk, we will discuss how machine learning can be used to solve these problems of scale and if machines are intelligent enough to make themselves. We will also discuss how creativity and innovation in Electronic Design Automation can be used to solve other problems seen in the world.
Vice President, Engineers and Geoscientist BC
Executive Director of Lower Mainland Biomedical Engineering, providing biomedical engineering services to the lower mainland regional health authorities. She has over 20 years of experience in biomedical engineering, and 9 years of experience leading collaborative change initiatives transforming primary and community care delivery in BC. Carol has her undergraduate degree in engineering chemistry from Queen’s University, a master's degree in clinical engineering from the University of British Columbia, and a master's degree in leadership and training from Royal Roads University. She has served on Engineers and Geoscientists BC’s Council, Standing Awards Committee, Interview Panel, ASTTBC Joint Committee, and the Audit Committee.
Professor, University of Calgary;
NSERC Chair, Women in Science and Engineering (Prairie Region)
Laleh Behjat is a Professor at the Department of Electrical and Computer Engineering at the University of Calgary, Canada, and NSERC Chair for Women in Science and Engineering (Prairie Region). Her research focuses on developing mathematical techniques and software tools for automating the design of digital integrated circuits. She has won several awards for her work. Laleh is passionate about increasing the status of women in science, technology, engineering, and mathematics (STEM) and works towards building a more inclusive, equitable and just society.
Integrated circuits have seen an explosion in the numbers of the transistors and extreme scaling in their sizes. Today’s ICs can have trillions of transistors at Nano-scale sizes. In this talk, we will discuss how machine learning can be used to solve these problems of scale and if machines are intelligent enough to make themselves. We will also discuss how creativity and innovation in electronic design automation can be used to solve other problems seen in the world.