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Teddy Mantoro
Also published under:T. Mantoro
Affiliation
Media-Tech-Lab Computer Science Department, Sampoerna University, DKI Jakarta, Indonesia
Topic
Machine Learning,Learning Algorithms,Data Security,Health Sector,Health Services,Personal Data,Convolutional Neural Network,Information Technology,Internet Of Things,National Security,Artificial Intelligence,Biological Weapons,Medical Data,Random Forest,Android Application,Cybersecurity,Data Privacy,Deep Learning,F1 Score,Hash Function,Health Data,Information And Communication Technologies,Information Leakage,K-nearest Neighbor,Medical Records,National Interests,Public Key,Security Level,Support Vector Machine,Use Of Weapons,Big Data,Convolutional Layers,Convolutional Neural Network Architecture,Cybercrime,Data Augmentation,Data Transmission,Denial Of Service,Dynamic Analysis Method,Electronic Health Records,False Positive Rate,Health Security,Industrial Revolution,Neural Network,Nuclear Weapons,Patient Data,Precision And Recall,Random Forest Classifier,Secret Key,Sensor Networks,Static Analysis,
Biography
Teddy Mantoro received the B.Sc., M.Sc., and Ph.D. degrees in computer science and the Ph.D. degree from the School of Computer Science, The Australian National University (ANU), Canberra, Australia. He is currently a Computer Science Professor with Sampoerna University, Jakarta, Indonesia. He has conducted intensive work in the intelligent environment that uses computational intelligence. He developed the concept and theory of context-aware computing for the intelligent environment, and as a proof of concept, he and his lab developed many prototypes that led to many awards. His research interests include information security, pervasive computing, and intelligent environment/IoT. He received five Gold, nine Silver, and eleven Bronze medals from the National and International IT Innovation Competitions, since 2009.