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Gina C. Adam
Also published under:G. C. Adam, Gina Adam, G. Adam
Affiliation
Electrical and Computer Engineering, George Washington University, Washington DC, USA
Topic
Memristive Devices,Circuit Design,Decision Tree,Deep Neural Network,Hardware Implementation,Intrusion Detection,Detection Accuracy,Device Model,Information Leakage,Neural Network,Non-volatile Memory,Power Consumption,Compact Model,Crossbar Array,Device Behavior,Internet Of Things,Interpolation Method,Network Intrusion Detection,Neural Network Training,Operational Amplifier,Root Mean Square Error,Tree Nodes,Tree Size,Accuracy Drop,Accuracy Of Network,Accuracy Of Neural Network,Accurate Tree,Actuator,Analog Hardware,Arbitrary Waveform Generator,Autoencoder,Baseline Algorithms,Behavior Policy,Benchmark,Binary Decision Tree,Biosignal Processing,CMOS Technology,Co-design Approach,Communication Network,Compact Embedding,Complex Circuits,Computational Memory,Computational Resource Requirements,Conductance States,Constrained Environments,Control Circuit,Correlation Function,Cryogenic Temperatures,Deep Learning,Deep Neural Network Classifier,
Biography
Gina C. Adam ([email protected]) received her B.Sc. degree in applied electronics from the University Politehnica of Bucharest, Bucharest, Romania, in 2010, and her Ph.D. degree in electrical and computer engineering from the University of California, Santa Barbara, CA, USA, in 2015. From 2016 to 2018, she was a research scientist with the National Institute for Research and Development in Microtechnologies, Voluntari, Romania, and a visiting scholar with the École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. She is currently an assistant professor of electrical and computer engineering with the School of Engineering and Applied Science, George Washington University, Washington, DC 20052 USA. Her research interests include resistive switching devices and their use in memory storage, computing, and communications applications. She is a Senior Member of IEEE.