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Prof. Al Hero editor of new book: Big Data over Networks

The book explores the principles underpinning large-scale information processing over networks and the crucial interaction between big data and its associated communication, social and biological networks.| Short Read
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Alfred O. Hero, III, John H. Holland Distinguished University Professor of EECS and R. Jamison and Betty Williams Professor of Engineering, is co-editor of the book, Big Data over Networks, published by Cambridge University Press, along with Prof. Shuguang Cui (Texas A&M), Prof. Zhi-Quan Luo (U. Minnesota), and Prof. José Moura (CMU).

The book explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. Written by experts in the diverse fields of machine learning, optimisation, statistics, signal processing, networking, communications, sociology and biology, this book employs two complementary approaches: first analysing how the underlying network constrains the upper-layer of collaborative big data processing, and second, examining how big data processing may boost performance in various networks. The book is designed for graduate students, scientific researchers and industry practitioners.

Prof. Hero is an internationally recognized expert in the field of signal and image processing. His recent research interests are data science, bioinformatics and personalized health, statistical signal processing and imaging, correlation mining, statistical machine learning and pattern recognition, wearable wireless sensors, sensor networks, and sensor management. He is co-director of the Michigan Institute for Data Science (MIDAS).


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The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read