Machine learning and computation-enabled intelligent sensor design

Prof. Aydogan Ozcan’s Lab, in collaboration with Dr. Asad Madni, as well as Drs. Zach Ballard and Calvin Brown of Prof. Ozcan’s Lab, has published a Perspective on Intelligent Sensor Design at Nature Machine Intelligence. The new perspective article outlines the role of computation and machine learning in designing future sensing systems, with examples in genomics, biosensing, diagnostics, and hyperspectral sensors. The article builds upon Dr. Ballard’s dissertation work which was completed at UCLA under the guidance of Dr. Aydogan Ozcan and Dr. Asad Madni, who are co-authors.