Nada Alaaeldin Abdalfattah (Nada Aladdin)

👋 Hi, I’m Nada!

📄 Experience

Lecturer (Part-time)
Applied Science Private University (ASU)
Oct 2025 – Present

Research Assistant (RA)
Jordan University of Science and Technology (JUST)
Jan 2025 – Present

🎓 Education

Master of Science (M.S.) in Computer Engineering
Feb 2022 - Feb 2025
Jordan University of Science and Technology (JUST)
Graduated with a GPA of 4.00/4.00, ranked among the top students in my class.

Bachelor of Science (B.S.) in Computer Engineering
Sep 2017 - Feb 2022
Jordan University of Science and Technology (JUST)

💻 Projects

Classification of Reconnaissance Attacks in IoT Networks Using the CICIoT2023 Dataset by Leveraging Machine Learning, Advanced Operating Systems Project - 2024 : Objective: Enhanced the detection and classification of Reconnaissance (Recon) attacks using machine learning techniques with the CICIoT2023 dataset. Results: Achieved the highest detection accuracy of 90% using the XGBoost algorithm, outperforming other algorithms like Random Forest (89%), Decision Tree (86%), K-Nearest Neighbors (71%), Adaptive Boosting (67%), Support Vector Machine (60%), and Naive Bayes (24%).
Analyzing Different Machine Learning Models to Predict Queue Waiting Time in Queuing Systems, Modeling and Performance Project - 2024 : Conducted research involving the development and implementation of various machine learning models to predict queue waiting times. The project included a thorough literature review to inform model selection and methodology. Utilized features such as arrival time, service start time, service finish time, and queue length. Evaluated model performance using multiple metrics to ensure accuracy and reliability. Results: Achieved an R-squared value of 99% with an Artificial Neural Network (ANN). Secured an R-squared value of 97% with a Feed-forward Neural Network (FNN).
Task Management Software System using React.js and Tailwind CSS, System Software and Design Project - 2023 : Developed a multifunctional task management system, which included features such as user authentication, task and project management, team collaboration tools, notifications, real-time chat, and analytics. Implemented a RESTful API to ensure cross-platform compatibility and enable integration with other systems. Despite having no prior web application development experience, I successfully learned and applied new technologies that demonstrate strong problem-solving skills and adaptability to create an effective and secure project management tool.
Enhancing Topological Sort using OpenMP, Parallel Computing Course Project - 2023 : Objective: a research study focused on optimizing the performance of the topological sort algorithm by leveraging parallel processing techniques. Skills Gained: Parallel programming, algorithm optimization, OpenMP, performance analysis.
The Evaluation of Customised Chess: Applying Alpha-Beta Pruning, Artificial Intelligence and Machine Learning Project - 2022 : Objective: Conducted research and developed a customized chess game utilizing the Alpha-Beta pruning algorithm and an evaluation function incorporating material balance and pieces’ square table (PST). This research-based project involved designing an intelligent decision-making mechanism that evaluates the number and types of pieces on the board along with their positional values. Awarded Best Project in a class-wide competition for demonstrating superior algorithm efficiency and decision-making capability.
Implementation Modular using VHDL, Embedded Real-Time System Project - 2022 : Designed and simulated a logic circuit using VHDL. Developed the RTL schematic in Vivado 2020.2, then verified the design through simulation. Tools: VHDL, Vivado 2020.2, Simulation Software.
Graduation Project: Pill Reminder Device (PRD) - 2021: Designed and developed a Pill Reminder Device using Arduino to assist elderly patients with chronic diseases in managing their medication schedules effectively. • Purpose: The PRD helps organize medication intake according to doctor-prescribed schedules, reducing the risk of missed doses and medication errors. • Impact: Aims to reduce medical errors, decrease case fatality rates, and provide peace of mind for both patients and caregivers by ensuring medications are taken as prescribed.

📝 Research Experience

Master’s Thesis: Efficient Software-only Recovery Technique for Systems with Non-Volatile Main Memory (ESRA)
Jordan University of Science and Technology 2022 - 2025
Supervisor: Dr. Mohammad Alshboul
Status: under review
Collaborative Paper: Efficient Crash-safe Sorting for Systems with Non-Volatile Main Memory
Jordan University of Science and Technology 2022 - 2025
with Batool Al Qayyam
Status: Published in a Q1 journal (Future Generation Computer Systems), DOI: 10.1016/S0167-739X(25)00523-0.

📝 Research Interests

Non-Volatile Main Memory
Computer Architecture
Software Systems
Operating Systems
High-Performance Computing (HPC)
Parallel Computing
Memory Management
Machine Learning
Deep Learning

💡 Skills

      - Programming Languages: 
          C++, C, C#, Python, Java, Verilog, VHDL.
          
      - Operating Systems:
          Linux (Ubuntu), Windows.
          
      - Hardware and Systems:
          Embedded Systems, Microcontrollers, FPGA Programming, Computer Architecture.
          
      - Tools and Technologies:
          GitHub, MATLAB, Visual Studio, and LaTeX.
      - Database:
          SQL.
      
      - Simulation Tools:
          Gem5, ChampSim (Used for research).    
          
      - Terminal Proficiency:
          Command Line Interface (CLI), scripting on both Linux (Bash) and Windows (Command Prompt).  
          
      - Parallel Programming:
          OpenMP for parallelizing code in C.
          
      - Mendix Rapid Application Developer (RAD) Certification:
          Certificate Number: 88123.
          
      - IEEE / Certificate of Attendance:
          The Artificial Intelligence Day(IEEE-Aug2019).

📄 References

Available upon request

🔗 Connect with Me

👤 About Me

I’m a Computer Engineering graduate with a passion for software development. I enjoy working on projects that combine my technical skills with problem-solving. I’m always eager to learn new technologies and contribute to innovative solutions.

I like learning new skills, especially technical ones, and I also enjoy fitness. I follow a structured workout routine — it helps me stay disciplined and focused in other parts of my life too.