Mohammad Abdullah Al Faruque

Also published under:Mohammad Al Faruque, M. A. Al Faruque, Mohammad Abdullah al Faruque, Mohammad A. Al Faruque, Mohammad Abdulah Al-Faruque

Affiliation

Department of Computer Science, University of California, Irvine, CA, United States
Department of Electrical Engineering and Computer Science, University of California, Irvine, CA, United States

Topic

Neural Network,Autonomous Vehicles,Energy Efficiency,Graph Neural Networks,Internet Of Things,Search Space,Convolutional Neural Network,Cyber-physical Systems,Design Space Exploration,Edge Devices,Energy Consumption,Energy Gain,Learning Algorithms,Multilayer Perceptron,Time Series Data,Anomaly Detection,Attention Mechanism,Autonomic System,Binary Analysis,Binary Code,Classification Task,Communication Network,Computing Units,Control Flow Graph,Data Fusion,Deep Learning,Deep Neural Network,Design Space,Domain Shift,Dynamic Neural Network,Edge Computing,Fast Inference,Fast Training,Graph Convolution,Graph Convolutional Network,Graph Learning,Graph Neural Network Model,Graphical Representation,Hardware Security,High-dimensional,Information Leakage,Internet Of Things Devices,Internet Of Things Systems,Intrusion Detection,Joint Optimization,Multi-sensor System,Multivariate Time Series,Neural Architecture Search,Node Embeddings,Parallel Operation,

Biography

Mohammad Abdullah Al Faruque (Senior Member, IEEE) received the Ph.D. degree in computer science from Karlsruhe Institute of Technology, Karlsruhe, Germany, in 2009.
He is currently an Associate Professor with the University of California at Irvine, Irvine, CA, USA, where he is directing the Embedded and Cyber-Physical Systems Lab. His current research is focused on the system-level design of embedded and cyber-physical systems with a special interest in model-based design.
Dr. Al Faruque is the Senior Member of ACM.