Dr. Rasha Kashef received her Ph.D. from the University of Waterloo, Department of Electrical and Computer Engineering in 2008. She is a professional engineer in Ontario. She worked as Assistant Professor at the school of computing at the AAST institute in 2009-2011. She also worked as a research...
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Dr. Rasha Kashef received her Ph.D. from the University of Waterloo, Department of Electrical and Computer Engineering in 2008. She is a professional engineer in Ontario. She worked as Assistant Professor at the school of computing at the AAST institute in 2009-2011. She also worked as a research associate at Microsoft Corp. In 2010 she succeeded with her machine learning research, and she received the “Early Researcher Award.” Her research interests span the use of machine learning in big data analysis in different applications including healthcare, revenue management, and software engineering. She worked as a post-doctoral fellow at the department of applied mathematics at the University of Waterloo from 2011 until 2013. She also joined the department of management science at the University of Waterloo from 2013-2016. she had been hired as an assistant professor at the IVEY Business School in Management science group with a focus on data analytics from 2016-2019.
Rasha Kashef is a champion of charting your own path. As a young adult, Kashef was drawn by the prestige of a medical career and influenced by physicians within her family to follow in their footsteps and become a doctor. It was thanks to her father, a math teacher, that Kashef discovered engineering. “It turns out, I really like mathematics, and engineering is my path. I adore analytics,” she says.
Kashef’s skill in mathematics has been the catalyst of her success in the field of data analytics. Through her research, she applies machine learning techniques to unlock the hidden meaning in big data, with applications in marketing, e-commerce, software systems and health care. “There’s a lot of information in data, and no one can understand it. But if you analyze it and discover that hidden information, that’s where we help decision makers to reach an accurate conclusion.”
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