Shadi Basurra

Affiliation

School of Computing and Digital Technology, Birmingham City University, Birmingham, U.K.

Topic

Graph Convolutional Network,Machine Learning,Neural Network,Node Embeddings,Node Representations,Active Learning,Active Learning Techniques,Age Of Cases,Analytical Capabilities,Annotation Process,Artificial Neural Network,Average Work,Breast Cancer,Breast Cancer Patients,Breast Cancer Recurrence,Breast Cancer Relapse,Building Information Modelling,Building Regulations,CIFAR-100 Dataset,Calibration Method,Calibration Process,Child Protection,Children In Need,Cluster Model,Common Framework,Communication Rounds,Computation Time,Configuration Parameters,Contribution Of Inputs,Data Augmentation,Data Privacy,Decision Support System,Deep Learning,Deep Neural Network,Department Of Education,Domain Experts,Edge Devices,Edge Weights,End Edge,Ensemble Members,Expert Feedback,Expert Review,Federated Learning,Federated Learning Algorithm,Few-shot Learning,Fine-tuning Process,Gated Recurrent Unit,General Data Protection Regulation,Genetic Algorithm Calibration,Global Model,

Biography

Shadi Basurra received the B.Sc. degree (Hons.) in computer science from the University of Exeter, U.K., the M.Sc. degree in distributed systems and networks from the University of Kent, Canterbury, U.K., and the Ph.D. degree from the University of Bath in collaboration with the University of Bristol. After completing the Ph.D. degree, he was with Sony Corporation, developing goal decision systems, he then moved on to work as a Research Fellow with the Zero Carbon Laboratory, Birmingham City University. He recently joined the Computer Science Centre, as a Senior Lecturer of software engineering with Birmingham City University. His research interests include simulation and emulation of networks (vehicular, mesh, and sensor ad hoc network), game theory, multiagent systems, multiobjective optimization, model calibration, and dynamic simulation of zero carbon design and retrofit of buildings.