
Assistant professor with solid background in machine learning and artificial intelligence. Mentoring undergraduate and postgraduate students. Interested in research collaborations, especially, multidisciplinary ones.
Programming: Python, C, Java, Matlab, C# and
Teaching
Research Paper Writing
Student Mentoring
Curriculum Development
Web Programming: HTML,CSS, Javascript, and PHP
SQL
Big Data Analysis: Map reduce using Java Hadoop framework, Pig, Hive, and Scala
SQL
Parallel Programming using OpenMP and MPI
Paper Review
Leadership
1. Elreedy, D., Atiya, A.F. and Shaheen, S.I., 2021. Novel pricing strategies for revenue maximization and demand learning using an exploration–exploitation framework. Soft Computing, 25(17), pp.11711-11733.
2. Elreedy, D., Atiya, A.F. and Shaheen, S.I., 2021. Multi-step look-ahead optimization methods for dynamic pricing with demand learning. IEEE Access, 9, pp.88478-88497.
3. Elreedy, D. and Atiya, A.F., 2019. A comprehensive analysis of synthetic minority oversampling technique (SMOTE) for handling class imbalance. Information Sciences, 505, pp.32-64.
4. Elreedy, D., F. Atiya, A. and I. Shaheen, S., 2019. A novel active learning regression framework for balancing the exploration-exploitation trade-off. Entropy, 21(7), p.651.
5. Elreedy, D. and Atiya, A.F., 2019, June. A novel distribution analysis for smote oversampling method in handling class imbalance. In International Conference on Computational Science (pp. 236-248). Springer, Cham.
6. Elreedy, D., Atiya, A.F., Fayed, H. and Saleh, M., 2018. A framework for an agent-based dynamic pricing for broadband wireless price rate plans. Journal of Simulation.
7. El-Reedy, D.A., Atiya, A.F., Fayed, H.A. and Saleh, M., 2014, December. Optimized static pricing approach for revenue maximization in telecommunications. In 2014 10th International Computer Engineering Conference (ICENCO) (pp. 57-60). IEEE.
8. Elreedy D, Atiya, A.F. and Fayed, H, 2015, Agent-Based Dynamic Pricing for Wireless Services, a Poster paper presented by me in NetMob15 Organized by MIT Media Lab.
9. Ibrahim, M.N., Mahmoud, M.N. and El-Reedy, D.A., 2016. Bel-Arabi: advanced Arabic grammar analyzer. International Journal of Social Science and Humanity, 6(5), p.341.
Advances in Mathematical Physics.