A dedicated researcher and educator with a passion for cloud computing, optimization algorithms, and deep learning, Dr. Dina Awny Amer focuses her research on the application of advanced computational techniques to address real-world challenges, particularly in workload distribution and task scheduling.
Having earned her PhD in Computer and Systems Engineering, where her thesis explored workload distribution on cloud computing resources with a focus on performance evaluation and enhancement. She completed her Master's degree specializing in maximum power point tracking algorithms in photovoltaic systems, and her undergraduate degree in Computers and automatic control Engineering from Tanta University.
Dr. Dina serves as an Assistant Professor at the Faculty of Computer Studies, Arab Open University, El-Sorouk, Egypt. She is skilled in teaching diverse areas including optimization algorithms, data and image encryption, task scheduling, deep learning, pattern recognition, and cloud computing.
With a strong foundation in both theoretical and practical aspects of computational systems. She is also a peer reviewer for the Supercomputing Journal.
1.
Computer
programming 1 (C++ and python)
2.
Data
structure and algorithms (C++)
3.
Object
Oriented Programming in JAVA
4.
Operating
systems
5.
Linux
operating system with red-hat (system admin I)
6.
Linux
and Shell Programming
7.
Software
Engineering
8.
Computer
network
9.
Network
devices
10.
Introduction
to artificial intelligence
11.
Digital
image processing
12.
Computer
organization and architecture
13.
Logic
and digital circuits
14.
Logic
design
15.
Introduction
to computer science
16.
Introduction
to database systems
Ø Assistant Professor at Faculty of
Computer Studies, Arab Open University, El-Sorouk, Egypt. (from September 2025)
2021 to 2025
Ø Assistant Professor at Department of Computer Science, Higher Technological
(HTI), 10th of Ramadan city (Mar. 2022 – August 2025)
Ø (Oct. 2022 to Oct. 2024) Assistant
professor at Egyptian Chines College for Applied Technology (ECCAT)
Ø (Spring. 2024) Assistant professor at the
Egyptian Chinese university faculty of engineering & technology
Ø (2024/2025 year) Assistant professor at El-Sewedy
University of Technology
2021 to 2022
Ø Lecturer assistant in Department of Computer Science, Higher Technological (HTI), 10th
of Ramadan city.
1.
Amer, D.A., Ibrahim, N.Y., Ibrahim, I.K. et
al. Intelligent eyes on water: YOLOv11-based real-time drowning detection
system. J Supercomput 81, 1242 (2025). https://doi.org/10.1007/s11227-025-07732-7
2. Amer, D.A., Soliman, S.A., Hassan, A.F. et al. Enhancing
connectivity and coverage in wireless sensor networks: a hybrid comprehensive
learning-Fick’s algorithm with particle swarm optimization for router node
placement. Neural Comput & Applic (2024). https://doi.org/10.1007/s00521-024-10315-x
Ahmed Fathy, Dina A. Amer, Mujahed Al-Dhaifallah. Modified tunicate
swarm algorithm-based methodology for enhancing the operation of partially
shaded photovoltaic system. Alexandria Engineering Journal (2023), https://doi.org/10.1016/j.aej.2023.08.030.
4.
Amer,
D.A., Attiya, G. & Ziedan, I. An efficient multi-objective scheduling
algorithm based on spider monkey and ant colony optimization in cloud
computing. Cluster Comput (2023). https://doi.org/10.1007/s10586-023-04018-6.
5. Dina.A. Amer, Attiya, G.,
Ziedan, and A. A. Nasr. ” Elite learning
Harris hawks optimizer for multi-objective task scheduling in cloud computing,”
J. Supercomputing (2021). https://doi.org/10.1007/s11227-02103977-0.
6. Dina. A. Amer, G. Attiya, I.
Ziedan and A. A. Nasr, "Employment of Task Scheduling based on Water Wave
Optimization in Multi Robot System," International Conference on
Electronic Engineering (ICEEM), 2021, pp. 1-6, doi:10.1109/ICEEM52022.2021.9480617.
7. Dina. A. Amer, G. Attiya, I.
Ziedan and A. A. Nasr. “A New Task Scheduling Algorithm based on Water Wave
Optimization for Cloud Computing”. International Journal of Computer
Applications 183(3):65-75, May21, doi:
10.5120/ijca2021921320.
8. Ibrahim Ziedan, Ahmed Fathy and Dina Amer “Improved Teaching
Learning Based Optimization Algorithm Based Maximum Power Point Trackers for
Photovoltaic system”. Electr. Eng.
Springer, September 2018, Vol. 100, Issue 3, pp. 1773–1784. https://doi.org/10.1007/s00202-017-0654-8.
9. Ibrahim Ziedan, Ahmed Fathy and Dina Amer, “An Improved Teaching
Learning Based Optimization Algorithm for Simulating the Maximum Power Point
Tracking Controller in Photovoltaic System”. EIJIST, October 2016, Vol. 21, pp.
9-18.
