Dr. Rasha Kashef
Areas of Academic Interest
Data science
Smart systems
Big Data analytics
Artificial intelligence
Recommendation systems
Management science
Simulation and modelling
Distributed computing
Education
| Year | University | Degree |
|---|---|---|
| 2008 | University of Waterloo | PhD |
| 2004 | Arab Academy for Science and Technology | MSc |
| 2001 | Alexandria University | BSc |
Spotlight
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.”
“I aim for success. When I want to achieve something, I don’t give up easily.”
- Dean’s SRC Award, 2024
- Roger’s Cybersecure Fellowship, 2023
- Nominated MITACS Supervisor Award, 2022
- Best Paper awards, IEEE AIIoT, IEEE ICMISI, IEEE IEMtronics, 2024
- Meritorious Candidate, NSERC Industrial Research and Development Fellowship (IRDF), 2012-2014 (Declined)
- Exceptional Researcher Award, Academy for Science and Technology and Maritime Transport, 2010
- The University of Waterloo Doctoral Thesis Completion Award, 2008
- Female Doctoral Scholarship, University of Waterloo, 2008
- Kashef, R.F, “Adopting Big Data Analysis in The Agricultural Sector: Financial and Societal impacts“, Book Title: IoT and Analytics for Agriculture, published by Springer, Accepted on June 2019.
- Kashef, R.F, Warraich, M., “Homogenous Vs. Heterogeneous Distributed Data Clustering”, Book Title: Studies on Big Data, published by Springer, In press, to be published December 2019.
- Kashef, R.F, Gencarelli, M. “Classification of Outlier’s Detection Methods Based on Quantitative or Semantic Learning”, Book Title” Combating Security Challenges in the Age of Big Data: Powered by State of the Art AI Techniques, published by Springer, In press, to be published December 2019.
- Kashef, R.F, “Ensemble-Based Anomaly Detection Using Cooperative Learning”, Journal of Machine Learning, Proceedings of Machine Learning Research, PMLR, Volume 71, pp 43-55, December 2017.
- Kashef, R.F, Kamel, M.S., “Cooperative Clustering “, Journal of Pattern Recognition, PR (43), No. 6, pp: 2315–2329, 2010.