Rasha Kashef

Rasha Kashef serves as Associate Professor at Toronto Metropolitan University, teaching courses including BME506 (Introduction to Software), COE628 (Operating Systems), COE691 (Software Requirements Analysis), and EE8225 (IoT Analytics). Her academic trajectory spans faculty positions at AAST Institute (2009-2011), University of Waterloo departments (2011-2016), and IVEY Business School (2016-2019), complemented by research roles at Microsoft Corp.

Her educational foundation includes:

• Ph.D. in Electrical and Computer Engineering, University of Waterloo (2008)
• Bachelor’s degree, Alexandria University Faculty of Engineering (2000; Best Student Award recipient)

Dr. Kashef’s research integrates advanced computational methodologies across critical domains:

• Core expertise in Machine Learning and Big Data analytics for complex system modeling
• Specialized applications in Healthcare informatics and Revenue management
• Technical innovation in IoT infrastructure and Distributed Computing architectures
• Cross-disciplinary work in Operations Research and Autonomous Systems

Her publication record demonstrates evolving focus from foundational clustering techniques (2009-2010) to cooperative learning frameworks (2017) and security-oriented big data applications (2019), reflecting consistent contributions to data science scalability and robustness.

Award highlights include:

• Dean’s SRC Award and IEEE Best Paper Awards (2024)
• Roger’s Cybersecure Fellowship (2023)
• Multiple Waterloo graduate scholarships and teaching awards

No information is available regarding student advising, research grants, or laboratory leadership in the provided materials.