Cybersecurity AI/ML Engineer with Forensics Focus

Mervat Adel AbouSalem

**************@*****.*** +1-223-***-**** York, PA,17402

U.S Green Card Holder Egyptian linkedin.com/in/mervat-adel-abousalem-5b2867239

Professional Summary

Cybersecurity graduate with a solid background in AI-powered security solutions, including IDS/IPS, Digital Forensics, and Network Security. Experienced with Machine Learning, Deep Learning, and Python programming through multiple academic projects. Passionate about research in emerging cyber threats and AI-driven defense mechanisms, with strong teamwork and problem-solving skills.

Skills

Cybersecurity — IDS/IPS Network Security Digital Forensics Ethical Hacking, I & Programming — Machine Learning Deep Learning Computer Vision Python, Tools —

FortiGate VM Wireshark Kali Linux TensorFlow OpenCV, Soft Skills — Analytical

Thinking Time Management Problem-Solving Teamwork & Collaboration Research Skills

Education

Delta University For Science And Technology, Bachelor of Science in Artificial Intelligence, Specialization in Cybersecurity

09/2021 – 07/2025 Gamasa, Egypt

•Gained a solid foundation in computer science, mathematics, and artificial intelligence during the first two years.

•Specialized in cybersecurity with focus on:

•Network Security & Cryptography

•Machine Learning Applications in Security

•Graduation Project: AI-Powered Real-Time Intrusion Detection and Prevention Platform using Machine Learning

•GPA: 3.335 / 4.0

Projects

AI-Based Human Detection and Tracking System,

University Project – Delta University

2022 – 2023 Spring

&Implemented a real-time human detection and tracking system using Python, OpenCV, and deep learning models.

&Designed to locate and track individuals across video frames (~30 FPS) with robustness under multiple angles and conditions.

&Applied for security, surveillance, and search & rescue use cases.

Attendance Management System Using Face Recognition, 2023 – 2024 Fall University Project – Delta University

&Built an automated attendance system using AI-based face recognition.

&Integrated real-time image processing to detect students with high accuracy.

&Reduced manual errors and improved efficiency in classroom attendance tracking.

Brain Tumor Classification and MRI Image Retrieval System, University Project – Delta University

2023 – 2024 Spring

&Designed a medical image analysis system using Deep Learning (ResNet50, VGG16).

&Implemented content-based image retrieval (CBIR) for MRI datasets.

&Improved diagnostic support with high accuracy in tumor classif

AI-Powered Real-Time Intrusion Detection and Prevention Platform,

Graduation Project – Delta University, 2025

&Developed a real-time IDS/IPS using Random Forest and ML techniques.

2024 – 2025 Fall

&Configured FortiGate VM with VLAN, SD-WAN, and firewall policies to simulate enterprise environments.

&Achieved high detection accuracy on live traffic data for proactive threat prevention.

Research Paper: Intrusion Detection and Prevention Systems (IDS/IPS) Using Machine Learning

2024 – 2025 Fall

Co-authored under supervision of Dr. Ali E. Takieldeen (Delta University, Egypt) and Dr. Fahmi Khalifa (Morgan State University, USA & Mansoura University, Egypt).

•Collaborated with a team to study and evaluate ML-driven IDS/IPS approaches.

Currently in preparation for publication in an IEEE-indexed journal (2025).

Cybersecurity — Intrusion Detection & Prevention Systems (IDS/IPS), Network Security, Digital

Forensics Programming & AI — Python, Machine Learning, Deep Learning Tools — FortiGate

VM, Wireshark, Kali Linux, OpenCV Machine Learning and Data-Driven Threat Detection —

Research in Emerging Cyber Threats and Mitigation Strategies — Soft Skills — Problem-Solving, Teamwork, Communication

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