Haleh Shahzad
About Haleh Shahzad
Haleh Shahzad is a Senior Applied Research Scientist in Cyber Security Analytics DevOps at TELUS, based in Toronto, Canada. She holds a PhD in Electrical, Electronics, and Communications Engineering from McMaster University and has extensive experience in academia and industry.
Current Role at TELUS
Haleh Shahzad holds the position of Senior Applied Research Scientist, Cyber Security Analytics DevOps at TELUS. In this role, she is responsible for leading AI initiatives to enhance the security posture of the company and its customers. She has been with TELUS since April 2019, developing and managing a wireless network security analytics platform that operates with real-time data feeds.
Previous Experience in Academia
Haleh Shahzad has an extensive background in academia, having served as a Sessional Instructor at McMaster University in 2019 and a Guest Lecturer from 2017 to 2018. Additionally, she worked as a Teaching Assistant from 2014 to 2018 and as a Research Assistant from 2014 to 2019. Her roles included both educational responsibilities and research contributions.
Industry Experience in Iran
Before moving to Canada, Haleh Shahzad worked in Iran as a Researcher and Software Developer at Paya Phonon Mahan from 2012 to 2014. She also served as an Electronic Engineer at Pardisan from 2008 to 2009. Her industry roles provided her with hands-on experience in electronics and software development.
Educational Background
Haleh Shahzad achieved her Doctor of Philosophy (PhD) in Electrical, Electronics, and Communications Engineering from McMaster University between 2014 and 2019. Prior to that, she earned a Master of Science (M.Sc.) in the same field from Amirkabir University of Technology - Tehran Polytechnic from 2009 to 2012. Her academic journey began with a Bachelor of Science (B.Sc.) in Electronics Engineering from the University of Isfahan, completed between 2005 and 2009.
Contributions to Cybersecurity
At TELUS, Haleh Shahzad has developed new algorithms to enhance the performance of deep learning solutions in cybersecurity analytics. She also collects and refines new data sources essential for model development and analysis, and is responsible for continuous performance monitoring and re-training of cyber security models in production.