The first monograph to present the big picture of Artificial Intelligence in spectroscopy. Its rigorous mathematical basis, numerous examples, and reproducible computer calculations make it a valuable guide for theorists, practitioners, and students in chemistry and physics.
Joseph Dubrovkin
Joseph Dubrovkin gained a degree in Automatics from the Aviation Institute, Russia, in 1968, and Doctoral degrees in Technical Sciences and Physics and Mathematics from Leningrad State University, Russia, in 1979 and 1989 respectively. He was a Lecturer at the Aviation Institute and the Pharmaceutical Institute, Russia, and Western Galilee College (department of Bar-Ilan University), Israel, before retiring.
Author's books
Data Analytics in Spectroscopy
This is the first book to form the big picture of all data analytics methods in spectroscopy. Its rigorous mathematical basis, in-depth descriptions, numerous examples, and reproducible calculations make it a valuable guide for practitioners, students, and lecturers.
Data Compression in Spectroscopy
This book is the first complete overview of data compression methods in analytical spectroscopy and imaging. Its rigorous mathematical basis, detailed examples, and reproducible computer calculations make it a valuable guide for theorists, practitioners, and students.
Derivative Spectroscopy
This book sums up over half a century of research in derivative spectroscopy. For the first time, it offers the big picture of all spectroscopic and non-spectroscopic derivative methods, with reproducible calculations, serving as a practical guide for researchers and students.
Mathematical Processing of Spectral Data in Analytical Chemistry
For practitioners, researchers, and students, this book covers advanced calibration and the estimation of peak parameters in overlapping spectra. It provides easily reproducible computer calculations, making it a practical guide to analytical spectrometry and chemometrics.