The Recurrent Neural Network for Time-Evolving Data—Lawrence Carin, KAUST Provost

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Lecture 3

The Recurrent Neural Network for Time-Evolving Data
March 8 | 1:00 – 2:15 p.m.
Zoom link:
https://kaust.zoom.us/j/93259164124

Abstract

Time-evolving data are connected to many applications, such as prediction and analysis of financial data for investing, and analysis of dynamic-sensor data connected to human health (e.g., within an intensive-care unit). Natural written language, which consists of a sequence of characters or words, and voice, which consists of a sequence of phonemes, are also important domains for which analysis of time-evolving data is important.

In this lecture we will discuss the recurrent neural network, which is an extension of the basic neural network, for analysis of dynamic data. There has been significant recent interest in application of the Long Short-Term Memory (LSTM) recurrent neural network, which we introduce.

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Brief biography

Lawrence Carin is the new Provost at King Abdullah University of Science and Technology. Prior to joining KAUST professor Carin was the James L. Meriam Distinguished Professor of Electrical and Computer Engineering at Duke University, where he also served as the Vice President for Research. He is one of the most prolific authors in the world in the fields of machine learning and artificial intelligence, regularly publishing in the most competitive forums. Dr. Carin had taught at Duke for over 25 years, and has published nearly 400 peer-reviewed papers. 

Lawrence Carin earned the BS, MS, and Ph.D. degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University. He was ECE Department Chair from 2011-2014, the Vice Provost for Research from 2014-2019, and since 2019 he has served as Duke’s Vice President for Research. 

From 2003-2014 he held the William H. Younger Distinguished Professorship, and since 2018 he has held the James L. Meriam Distinguished Professorship. Dr. Carin’s research focuses on machine learning (ML), artificial intelligence (AI) and applied statistics. He publishes widely in the main ML/AI conferences, and he has also engaged in translation of research to practice. He was co-founder of the small business Signal Innovations Group, which was acquired by BAE Systems in 2014, and in 2017 he co-founded the company Infinia ML. He is an IEEE Fellow.

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