Scholar
Ali Alfatemi
Google Scholar ID: 5INwJxIAAAAJ
PhD Candidate
Citations & Impact
Citations
148
H-index
7
i10-index
5
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Enhancing DDoS Detection for Edge Networks with Noise-Tolerant Shallow Neural Networks' accepted for publication in IEEE Transactions on Computational Social Systems.
- Paper 'Vision-Language Integration for Image Captioning Using Vision Transformers and GPT-J' accepted for Oral Presentation at the AIPR 2025 Workshop.
- Paper 'A Two-Stage LLM-Enhanced DDoS Detection Framework for Next-Generation IoT and Edge Networks' accepted to the IEEE GLOBECOM 2025 CISS Symposium.
- Paper 'Enabling Real-Time, Explainable DDoS Mitigation via On-Premise Large Language Models and Flow Analysis' accepted at KES 2025.
- Published multiple academic papers on cybersecurity, deep learning, and computer vision in various international journals and conferences.
Research Experience
- Research areas cover AI applications in cybersecurity, large language models, machine learning and deep learning, and computer vision.
Education
- Ph.D. Candidate & Teaching Fellow in Computer & Information Science at Fordham University.
Background
- Research interests include AI for Network Security, Large Language Models (LLMs), Machine Learning & Deep Learning, and Computer Vision.
Miscellany
- Actively seeking Summer 2026 internships and full-time research scientist or ML engineer roles upon graduation in Spring 2026.
