AI for network security
Lightweight, noise-tolerant, data-efficient, and LLM-enhanced models for flow-level DDoS detection across edge, IoT, and resource-constrained networks.
PaperPh.D. Candidate · AI/ML Researcher
Robust AI for security, vision, and intelligent systems.
I am a Computer Science Ph.D. candidate at Fordham University developing robust and efficient machine-learning systems for network security, computer vision, and multimodal intelligence. My research spans lightweight and noise-tolerant DDoS detection, data-efficient learning, LLM-enhanced network analysis, foreground-centric visual recognition, and vision–language generation.
My work combines empirical evaluation with research software, from data-efficient network-defense models to end-to-end visual-recognition pipelines.
Seeking academic and industry research roles · Available May 2027
Research
Focus areas
Robust and data-efficient machine learning
Learning strategies for noisy, imbalanced, or limited data using augmentation, meta-learning, compact architectures, and multi-model decision fusion.
PaperComputer vision and multimodal AI
Foreground-centric fine-grained recognition and vision–language generation that reduce background bias, capture subtle visual differences, and produce context-aware descriptions.
PaperFeatured research system
warbler_yolo
warbler_yolo turns unannotated field images into an end-to-end fine-grained recognition workflow. It segments and crops foreground subjects, creates standardized data splits, then trains and evaluates a YOLO11 classifier through a command-line pipeline.
Academic research
Selected peer-reviewed publications
Academic record
Education, appointments, and service
- Ph.D.
- Computer ScienceFordham University · Expected May 2027
- M.S.
- Computer ScienceSouth China University of Technology · 2021
- Appointment
- Teaching FellowFordham University · 2025–present
- Teaching
- CISC 1100: Structures of Computer ScienceFordham University · Fall 2025 and Spring 2026 · Syllabi: Fall 2025 PDF · Spring 2026 PDF
- Fellowship
- AI Summer Research FellowFordham University · Summer 2025
- Internship
- Student Research InternTsinghua Shenzhen International Graduate School · 2021–2022
- Service
- Peer reviewerIEEE TNSM · Information Fusion · Scientific Reports · IJCNN 2025
- Patent
- CN113537358B · InventorCancer subtype identification via multi-omics data integration · Patent record ↗
Contact
Research collaboration and opportunities
I welcome focused conversations about academic opportunities, research collaboration, and applied AI roles.
aalfatemi@fordham.edu