Mark Embrechts

About

Mark J. Embrechts is Chief Scientist at CardioMag Imaging, Inc. CardioMag developed highly accurate technology for the early detection of ischemia by measuring the magnetic field of the hearth, a technology protected by 13 patents (2 pending). Mark Embrechts is also a professor in the Department of Mechanical, Aerospace, and Nuclear Engineering (MANE) at Rensselaer. Mark is also a Full Professor of Industrial and Systems Engineering (ISE) at Rensselaer Polytechnic Institute, Troy NY. Prof. Embrechts is a frequent guest professor at the Department of Electrical Engineering / Computer Science at the University of Kassel, Deutschland. Prof. Embrechts joined the Nuclear Engineering Department at Rensselaer in 1983 and was previously an AWU-DOE fellow, Staff Member and Laboratory Director's Fellow at Los Alamos National Laboratory (1981-1983). He is a pioneer in introducing neural networks, data mining, big data analytics, genetic algorithms, and computational intelligence to the Graduate Engineering Curriculum at Rensselaer and has been teaching courses related to these topics and data-driven engineering since 1988. He has worked as a consultant or staff member at Los Alamos National Laboratory, Oak Ridge National Laboratory, the Max Planck Institute for Plasma Physics (Munich, Germany), the Paul Scherrer Institute (Switzerland), TransScan (Israel), CardioMag Imaging (Schenectady), the World Bank (D.C. Headquarters), Nikkei Research (Japan), MetaLogic (Belgium), KODAK (USA), and General Electric (Schenectady, USA). He was Guest Professor of Materials Science at the University of Leuven in 1990 and 2008 (Belgium), Visiting Professor of Electrical Engineering (University of Porto, Portugal) in 2007 and spent eight months on sabbatical leave in the Center for Economical Studies at the University of Leuven in 1991. Dr. Embrechts authored more than 250 journal articles and archival publications, holds 4 patents on ischemia detection from MagnetoCardiography, and is organizer or member of the organizing committee of numerous professional meetings and conferences. Dr. Embrechts co-authored Exchange Rate Theory: Chaotic Models of Foreign Exchange Markets. He edited 11 books, published 19 Book Chapters, and is currently writing 4 books related to Nuclear Energy and Quantum Physics. Dr. Embrechts is past president of the New York Northeastern Section of the American Nuclear Society. He is a member of IEEE, the Royal Flemish Engineering Society, INFORMS, American Society for Engineering Education, and Sigma XI. Dr. Embrechts supervised 25 Master's students and 16 Ph.D. Students during his tenure at Rensselaer. He was member of 80 doctoral committees. Past Students include a vice president at Goldman Sachs, A Vice President at Oracle, A Vice President at Citi, A Vice President at Suez, A Chief data Officer at Schlumberger, several CEOs and several professors worldwide. Publications

Research

Other Focus Areas

Data Mining, Big Data, Neural Networks, Genetic Algorithms, Computational Intelligence, Biocomputing, Drug Design, Big Data for Renewable Energy, Statistics

Publications

The following is a selection of recent publications in Scopus. Mark Embrechts has 164 indexed publications in the subjects of Computer Science, Engineering, Energy.

Ling Wang, Joshua Goldwag, Megan Bouyea, Jonathan Barra, Kailie Matteson, Niva Maharjan, Amina Eladdadi, Mark J. Embrechts, Xavier Intes, Uwe Kruger, Margarida Barroso
iScience
, 26
, 2023
.
Uwe Kruger, Xun Wang, Mark J. Embrechts, Ali Almansoori, Juergen Hahn
Control Engineering Practice
, 121
, 2022
.
Mark J. Embrechts, Fabrice Rossi, Frank Michael Schleif, John A. Lee
Neurocomputing
, 141
, 2014
, pp.1-2
.
Christopher J. Gatti, Mark J. Embrechts
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings
, 2014
, pp.135-140
.
Jorge M. Santos, Mark Embrechts
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, 8495 LNCS
, 2014
, pp.41-50
.
Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton
ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
, 2013
, pp.221-226
.
Mark J. Embrechts, Jorge M. Santos, Jonathan D. Linton
ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
, 2013
, pp.167-172
.
Paulo Cortez, Mark J. Embrechts
Information Sciences
, 225
, 2013
, pp.1-17
.
Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts
Expert Systems with Applications
, 40
, 2013
, pp.1407
.
Jonathan D. Linton, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts
Expert Systems with Applications
, 40
, 2013
, pp.1408-1409
.

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