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Mohamed Adel Serhani
Also published under:M. Serhani, M. Adel Serhani, Mohamed Serhani, M. A. Serhani
Affiliation
College of Computing and Informatics, UoS, UAE
Topic
Convolutional Neural Network,Internet Of Things,Federated Learning,Data Privacy,Data Security,Deep Learning,Global Model,Internet Of Things Devices,Machine Learning,Neural Network,Blockchain Technology,MNIST Dataset,Machine Learning Models,Model Aggregation,Model Performance,Updated Model,Wireless Body Area Networks,Anomaly Detection,Artificial Intelligence Applications,Base Station,Big Data,Central Server,Client Participation,Cloud Computing,Combined Score,Communication Overhead,Convolutional Neural Network Model,Cyber-physical Systems,Data Storage,Deep Q-network,Digital Twin,Distributed Denial Of Service,Dynamic Selection,Edge Computing,Edge Server,Encryption And Decryption,Energy Consumption,Energy Transmission,Federated Learning Algorithm,Improve Model Performance,Integration Of Artificial Intelligence,Intrusion Detection System,Learning Algorithms,Local Training,Local Updates,Long Short-term Memory,Long Short-term Memory Model,Mobile App,Mobile Edge Computing,Multi-armed Bandit,
Biography
Mohamed Adel Serhani received the Ph.D. degree in computer engineering from Concordia University, in 2006. He is currently a Professor with the College of Computing and Informatics, University of Sharjah. He has published over 180 refereed publications, including journals, conferences, a book, and book chapters. His research interests include federated learning, cloud for data intensive e-health applications, services, SLA enforcement in cloud data centers, big data value chain, cloud federation and monitoring, non-invasive smart health monitoring, management of communities of web services, and web services applications and security. He has a large experience earned throughout his involvement and management of different research and development projects. He has served as an Organizer and the Technical Program Chair/Co-Chair for many international conferences and workshops (e.g., IWCMC’23, BDSIC’23, SERVICES’21, ICWS’20, AI-PA’2020, IIT’13, NDT’12, and WMCS’12).