Karen Faulds to Receive Charles Mann Award at SciX 2019
The Charles Mann Award for Applied Raman Spectroscopy will be presented to Karen Faulds on Tuesday, October 15, at the SciX 2019 conference in Palm Springs, California.
Karen Faulds
The Charles Mann Award for Applied Raman Spectroscopy will be presented to Karen Faulds on Tuesday, October 15, at the SciX 2019 conference in Palm Springs, California. Faulds is a professor in the Department of Pure and Applied Chemistry at the University of Strathclyde (Glasgow, Scotland). She is also the head of Bionanotechnology and Analytical Chemistry at the university.
Faulds’s area of expertise is in the development of Raman and surface-enhanced Raman scattering for novel analytical detection strategies, and in particular, multiplexed bioanalytical applications. She has published more than 130 works and holds five patents. Her research group’s work has been recognized with the Nexxus Award (2009), the RSC Joseph Black Award (2013), and the Craver Award (2016). She was named a Fellow of the Royal Society of Chemistry (2012), a Fellow of the Society of Applied Spectroscopy (2017), and a Fellow of the Royal Society of Edinburgh (2018), and she he has given over 70 invited talks at national and international conferences located in Thailand, Japan, China, Russia, India, Canada, and the United States.
The Charles Mann Award for Applied Raman Spectroscopy is given to an individual who has demonstrated advancements at a conference presented by the Federation of Analytical Chemistry and Spectroscopy Societies (FACSS) in the field of applied Raman spectroscopy or has demonstrated dedication to the advancement of the Raman spectroscopy program at a conference presented by FACSS and the American Society for Testing and Materials Raman subcommittee.
To learn more about Karen Faulds, please see Spectroscopy’s interview with her here.
AI, Deep Learning, and Machine Learning in the Dynamic World of Spectroscopy
December 2nd 2024Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.
Diffuse Reflectance Spectroscopy to Advance Tree-Level NSC Analysis
November 28th 2024Researchers have developed a novel method combining near-infrared (NIR) and mid-infrared (MIR) diffuse reflectance spectroscopy with advanced data fusion techniques to improve the accuracy of non-structural carbohydrate estimation in diverse tree tissues, advancing carbon cycle research.
Mass Spectrometry for Forensic Analysis: An Interview with Glen Jackson
November 27th 2024As part of “The Future of Forensic Analysis” content series, Spectroscopy sat down with Glen P. Jackson of West Virginia University to talk about the historical development of mass spectrometry in forensic analysis.
