BoHyun Ahn

Also published under:Bohyun Ahn

Affiliation

Dept. of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, TX, USA

Topic

Power Grid,Distributed Energy Resources,Denial Of Service,Photovoltaic Inverter,Power Electronics,Public Key Infrastructure,Types Of Attacks,Cybersecurity,Photovoltaic System,Convolutional Neural Network,Flash Memory,Hyperledger Fabric,Internet Of Things,Inverter Control,Local Area Network,Malware,Malware Detection,Maximum Power Point Tracking,Penetration Test,Power System,Reverse Engineering,Serial Peripheral Interface,Smart Contracts,Smart Grid,Smart Inverters,Solar Power Plants,Best Practices,Binary Files,Blockchain Network,Blockchain Technology,Convolutional Neural Network Model,Cyclic Redundancy Check,Data Management,Data Pre-processing,Deep Learning,Deep Transfer Learning,Distribution System,DoS Attacks,Droop Control,Energy Storage Systems,False Data Injection Attacks,Improve Detection Accuracy,Information And Communication Technologies,Intrusion Detection,Intrusion Detection System,Long Short-term Memory,Machine Learning Models,Network Devices,One-dimensional Array,Point Of Common Coupling,

Biography

Bohyun Ahn (Graduate Student Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Minnesota State University-Mankato, Mankato, MN, USA, in 2016 and 2018, respectively. He is currently pursuing the Ph.D. degree with Texas A&M University—Kingsville, Kingsville, TX, USA.
His current research interests include cyber–physical security for distributed energy resources and industry control systems.