Topic
- Computing and Processing
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- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
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- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
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- English for Technical Professionals
Yonatan Gizachew Achamyeleh
Affiliation
Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA
Topic
Internet Of Things,Abstract Syntax Tree,Attack Detection,Binary Analysis,Binary Code,Binary Function,Bit-width,Call Graph,Classification Task,Computational Resources,Control Flow Graph,Deep Learning,Design Space,Design Space Exploration,Distributed Denial Of Service,Extra Information,Fast Inference,Fast Training,Function Calls,Graph Convolution,Graph Learning,Graph Neural Networks,Hierarchical Graph Neural Network,Hierarchical Neural Network,High-dimensional,Information Leakage,Internet Of Things Devices,Internet Of Things Networks,Internet Of Things Systems,Intrusion Detection,Intrusion Detection System,Learning Algorithms,Lower Dimension,Machine Learning,Machine Learning Models,Malware Detection,Matching Model,Negative Samples,Neural Network,Parallel Operation,Positive Samples,Random Generation,Random Vector,Raspberry Pi,Reverse Engineering,Security Vulnerabilities,Semantic,Source Code,Support Vector Machine,Training Efficiency,
Biography
Yonatan Gizachew Achamyeleh received the B.S. degree in electrical engineering from Korea Advanced Institute of Science and Technology, Daejeon, South Korea, in 2021. He is currently pursuing the Ph.D. degree in computer engineering with the University of California at Irvine, Irvine, CA, USA.
He has previously interned with Siemens Technology, Princeton, NJ, USA, and Intel Labs, Hillsboro, OR, USA. He is a member of the Autonomous and Intelligent Cyber-Physical Systems Lab. His research focuses on the security aspects of embedded and cyber–physical systems, especially in sectors, such as manufacturing, IoT, and healthcare.
He has previously interned with Siemens Technology, Princeton, NJ, USA, and Intel Labs, Hillsboro, OR, USA. He is a member of the Autonomous and Intelligent Cyber-Physical Systems Lab. His research focuses on the security aspects of embedded and cyber–physical systems, especially in sectors, such as manufacturing, IoT, and healthcare.