AI-driven networking
AI-native orchestration, semantic communication, and deep reinforcement learning for resource-aware wireless and 5G/6G systems.
Researcher · Educator · Inventor
Abdullatif Albaseer, PhD
Intelligence belongs in the network.
Researcher at the intersection of artificial intelligence, networks, and cybersecurity.
I design learning systems that coordinate across connected devices, operate under network constraints, and strengthen critical infrastructure.
01 / RESEARCHResearch impactIdeas translated into evidence.
57+peer-reviewed publications
16h-index
6granted US patents
HBKUPhD institution
Research agenda
Networks that learn, adapt, and defend.
Three connected lines of inquiry shape the work: intelligence inside the network, intelligence protecting the network, and intelligence distributed across the network.
AI for cybersecurity
Learning-based intrusion detection, adversarial defense, and collaborative protection for IoT, smart grids, and critical infrastructure.
Distributed learning over networks
Federated and edge learning engineered for privacy, energy efficiency, scheduling, fairness, and convergence.
Selected work
Recent research with a clear direction.
20262026202620262024
IEEE Transactions on Network and Service Management
Incentive-Driven Honeypot Defense: A Multi-Agent DRL Framework for Securing Smart Grid Networks
IEEE Transactions on Consumer Electronics
Proactive Smart-Grid Defense: DRL-Powered Moving Target Defense Against False Data Injection Attacks
IEEE Transactions on Machine Learning in Communications and Networking
Personalized Federated Learning with Adaptive Transformer Pruning and Hypernetwork-Driven Personalization in Wireless Networks
IEEE Access
TFD-Video: Threshold-Aware Federated Deepfake Detection for Video Forensics
IEEE Transactions on Network and Service Management
FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks
Trajectory
Research depth, built across institutions and systems.
Experience
Postdoctoral Research Fellow
Hamad Bin Khalifa University
Visiting Scholar, Smart Grid Lab
Texas A&M University at Qatar
Graduate Research Assistant
Hamad Bin Khalifa University
Education
PhD in Computer Science and Engineering
Hamad Bin Khalifa University, Doha, Qatar
MSc in Computer Networks
King Fahd University of Petroleum and Minerals
BSc in Computer Science
Thamar University, Yemen
Beyond research
Teaching, service, and continuous development.
Teaching
Wireless Network SecurityInstructor, Spring 2024
Computer Networks and CybersecurityTeaching assistant and course support
ABET and academic supportAssistant, 2020–2022
Academic contribution
Peer reviewReviewer for journals and conferences in networking, security, and machine learning.
PatentsSix granted US patents related to intelligent networks and connected systems.
Research collaborationSmart cities, IoT, smart grids, 5G/6G, federated learning, and edge intelligence.
Development
Deep Learning SpecializationNeural networks, optimization, and applied machine learning
Network and security trainingAdvanced wireless networks, cybersecurity, and research methods
Collaborate
Build networks that can think and defend.
For research collaboration, teaching, or professional inquiries, start with a direct email.
abdullatif2009@gmail.com