Canada
Concordia University
Large language models, Small Language Models, Reinforcement Learning, Agentic Systems, Model Orchestration
Internet of Things (IoT) and Edge Computing, Federated Learning (FL), Trust, task scheduling, Dynamic Deep Q-Network (Dynamic-DQN)
Human mobility, Commuting flow prediction, Graph Neural Network, Geographic and semantic adjacency
Multi-valued model checking, Intelligent systems (IS), Trust, Lattice-valued propositional logics, Uncertainty, Inconsistency
Deep reinforcement learning, Crowdsourcing, Blockchain, MLaaS, DRLaaS
Dandelion Weed, Labeling, Semantic segmentation, Convolution Neural Network, Loss Functions
Fairness, Multi-agent Reinforcement Learning, Federated Learning, demographic bias, Privacy
Multi-valued model checking, Autonomous monitoring systems, Trust protocols, Lattice-valued logics
Motion Planning, Multi-Agent Proximal Policy Optimization (MAPPO), Graph neural networks (GNNs), Multi-Agent Systems (MAS), Transformers
