Hammad Ali
NUST
· 2026
Email
hali.bscs22seecs@student.nust.edu.pk
Phone
923061383656
GitHub
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Academic
Program
BSCS
CGPA
3.14
Year
2026
Education
SEECS
Address
Burewala, Pakistan
DOB
—
Career
Current role
Research Assistant for the NATO SPS Program
Target role
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Skills
AI-enabled Network Security, Full Stack Web Development, Federated Learning, Edge Intelligence, 6G Networks, MERN Stack, React.js, Node.js, Express.js, MongoDB, HTML/CSS, Federated Distillation, Over-the-Air Aggregation, MITMPROXY, DDoS Dataset Generation, Deep Learning, Cryptography, Green AI
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Hammad Ali Cell: 923061383656 | Email: hali.bscs22seecs@student.nust.edu.pk LinkedIn: https://www.linkedin.com/in/hammad-ali-753b34236/ Address: SHAH FAIZ PARK, HOUSE NO. 5, STREET NO. 3,BUREWALA, DISTRICT VEHARI. , Burewala , Pakistan PROFESSIONAL PROFILE Research-driven Computer Science undergraduate at NUST (SEECS) with dual expertise in AI-enabled Network Security and Full Stack Web Development. Currently a Research Assistant for the NATO SPS Program , contributing to sustainable 6G networks via Federated Learning and Edge Intelligence. Simultaneously possesses professional software engineering experience building scalable MERN stack applications for commercial clients like Silicon Glen Embedded Systems. Selected for the prestigious MITACS Globalink Research Internship 2026, demonstrating a proven trajectory in both high-level academic innovation and practical software delivery. Key Research Experience Research Areas: 6G Wireless Networks, Federated Learning (FL), Network Security, and Cryptography. Role: Research Assistant for the NATO SPS Program (Secure-ISAC) and IPT Lab. Key Contributions: Developing energy-efficient frameworks using Federated Distillation and Over-the-Air Aggregation (UFDA). Designed an intelligent network monitoring system for real-time encrypted traffic analysis (MITMPROXY). Worked on State-of-the-Art DDoS Dataset Generation and Deep Learning-based threat detection. Publications (Under Review): “Efficient Edge Intelligence: Federated Distillation and Pruning with Over-the-Air Aggregation” (Computer Communications). “Energy-Aware Federated Distillation Framework for Sustainable Net-Zero 6G Wireless Networks” (IEEE Communications Magazine). Key Web Development Highlights Tech Stack: React.js, Node.js, Express.js, MongoDB, HTML/CSS. Experience: Full Stack Developer at Silicon Glen Embedded Systems (SGES) and Digital To Design. Projects: Developed Hospital Management Systems, Hotel Booking Systems, and custom property management solutions. EDUCATION BSCS SEECS , Islamabad , 3.14 (2022) INTERNSHIP EXPERIENCE NATO Research Assistant (Research) 01-Oct-2025 - 22-Jan-2026 Conducting research on Green AI and Federated Learning for sustainable 6G networks. Developed an energy-efficient "Federated
AI enrichment
Hammad Ali is a Computer Science undergraduate at NUST with a 3.14 CGPA, currently serving as a Research Assistant for the NATO SPS Program focusing on 6G networks and Federated Learning. He combines academic research in AI and network security with professional full-stack development experience using the MERN stack for commercial clients.
Skills (AI)
["React.js", "Node.js", "Express.js", "MongoDB", "Federated Learning", "Network Security", "6G Wireless Networks", "Deep Learning", "Full Stack Web Development", "Python"]
Status: ai_done