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. 鈥淚t turns out, I really like mathematics, and engineering is my path. I adore analytics,鈥� she says.
Kashef鈥檚 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. 鈥淭here鈥檚 a lot of information in data, and no one can understand it. But if you analyze it and discover that hidden information, that鈥檚 where we help decision makers to reach an accurate conclusion.鈥�
飩�&苍产蝉辫;
鈥淚 aim for success. When I want to achieve something, I don鈥檛 give up easily.鈥�
- Dean鈥檚 SRC Award, 2024
- Roger鈥檚 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, 鈥淎dopting Big Data Analysis in The Agricultural Sector: Financial and Societal impacts鈥�, Book Title: IoT and Analytics for Agriculture, published by Springer, Accepted on June 2019.
- Kashef, R.F, Warraich, M., 鈥淗omogenous Vs. Heterogeneous Distributed Data Clustering鈥�, Book Title: Studies on Big Data, published by Springer, In press, to be published December 2019.
- Kashef, R.F, Gencarelli, M. 鈥淐lassification of Outlier鈥檚 Detection Methods Based on Quantitative or Semantic Learning鈥�, Book Title鈥� 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, 鈥淓nsemble-Based Anomaly Detection Using Cooperative Learning鈥�, Journal of Machine Learning, Proceedings of Machine Learning Research, PMLR, Volume 71, pp 43-55, December 2017.
- Kashef, R.F, Kamel, M.S., 鈥淐ooperative Clustering 鈥�, Journal of Pattern Recognition, PR (43), No. 6, pp: 2315鈥�2329, 2010.