Ahmed Ismail Ebada

Affiliation

Department of Information Systems, Faculty of Computers and Artificial Intelligence, Damietta University, Damietta, Egypt

Topic

3D Mesh,Affine Transformation,Apache Spark,Armadillo,Batch Mode,Big Data,Big Data Analytics,Binary Bits,Bit Error Rate,Blood Pressure,Cardiovascular Disease,Common Attacks,Concealed Information,Confusion Matrix,Current Smokers,Data Security,Data Streams,Decimal Number,Decimal Places,Diastolic Blood Pressure,Disease Prediction,Electronic Health Record Data,Electronic Health Records,Embedding Algorithm,Encrypted Message,Even Number,Hadoop Distributed File System,Heart Rate Data,Higher Peak Signal-to-noise Ratio,Human Visual System,Illustrative Example,Internet Of Things,Learning Algorithms,Least Significant Bit,Lower Mean Square Error,Machine Learning,Machine Learning Models,Mean Square Error,Medical Data,Medical Data Analysis,Medical Devices,Microsoft Azure,Odd Number,Optimal Support Vector Machine,Original Objective,Peak Signal-to-noise Ratio,Physical Sensations,Public Key,Secret Key,Secret Message,

Biography

Ahmed Ismail Ebada is currently a Researcher, the Technical Project Manager, and the CTO/Co-Founder in Munich, Germany. He has been working in the industrial research area. His research interests include the IoT, edge, wearables, biosensors, AI, speech recognition, cloud computing, big data analysis, robotics, and entrepreneurship. He has served as an Associate Editor and a Peer-Reviewer for IEEE, Elsevier, and Nature (Springer). His motto is, science is a way to improve people’s lives, neither a tool for philosophy nor fame.