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Sheikh Iqbal Ahamed
Also published under:Sheikh I. Ahamed, S. I. Ahamed, Sheikh Ahamed, S. Iqbal Ahamed, Sheikha Iqbal Ahamed
Affiliation
Marquette University, USA
Topic
Machine Learning,Learning Algorithms,Convolutional Neural Network,Neural Network,Support Vector Machine,Heart Rate Variability,Machine Learning Techniques,Deep Learning,Deep Neural Network,Machine Learning Models,Mobile App,Quantum Computing,Quantum Machine,Random Forest,Action Units,Amyotrophic Lateral Sclerosis,Artificial Neural Network,Bivariate Analysis,Chronic Kidney Disease,Classical Computer,Data Management Platform,Data Security,Data Visualization,Decision Tree,Decision Tree Classifier,Disease Prediction,Empirical Mode Decomposition,Facial Action Units,Graphical User Interface,Highest Accuracy,Independent Component Analysis,Information Leakage,Internet Of Things,Junior High School,Kidney Disease,Learning Models,Level Of Addiction,Logistic Regression,Long Short-term Memory,Machine Learning Classifiers,Mental Health,PPG Signal,Patient Data,Photoplethysmography,Precision And Recall,Quantum Algorithms,Quantum Circuit,Rehabilitation Robots,Risk Of Addiction,Security Vulnerabilities,
Biography
Sheikh Iqbal Ahamed (Senior Member, IEEE) received the Ph.D. degree in computer science from Arizona State University, in 2003, under the supervision of Dr. Stephen S. Yau. He is currently a Professor and the Chair of the Department of Computer Science and the Director of the Ubicomp Research Laboratory. He has a strong performance record in research, with a career record of more than one million in external research funding. His current projects cover several state-of-the-art advances in medical computing and mobile computing. He has worked with hospitals in the U.S. and internationally on several projects and with leading healthcare companies in the healthcare industry. He has worked with several engineers, nurses, and physicians on 20 healthcare grants over the past 13 years. Projects included work with cellphones, sensors, tablets, web applications, and HIPAA-compliant cloud servers. His experience extends to working with patient populations in American Indian and Hispanic communities. His current research interests include building customized and innovative patient communication methods through technology, developing new and innovative approaches for health monitoring, pain management, mapping technologies, and activity monitoring for smartphones.