At the 2023 Gulf Coast Conference, Spectroscopy spoke with Kevin Schug of the University of Texas at Arlington, about predicting gas phase vacuum ultraviolet spectra using machine learning. This interview was one of four conducted live at GCC 2023.
Schug spoke during the 2023 Gulf Coast Conference (GCC) in Galveston, Texas, with one of his lectures being titled, "Prediction of Gas Phase Vacuum Ultraviolet Spectra using Machine Learning."
Kevin A. Schug is a Professor and Shimadzu Distinguished Professor of Analytical Chemistry at the University of Texas at Arlington. He received his Ph.D. from Virginia Tech working with the late Professor Harold McNair. He earned a B.S. Chemistry from the College of William and Mary. He has been at the University of Texas at Arlington since 2005.
Spectroscopy sat down with Hagemann to discuss the following questions:
Our interview with Schug was one of four conducted live at GCC 2023. For the other published GCC interviews, click on the links below:
Gulf Coast Conference: Elena Hagemann Discusses Using Raman and NIR to Analyze Petrochemicals
Gulf Coast Conference: John Wasson Discusses Data Retrieval From Chemical Processing Plant Streams
Gulf Coast Conference: Jean-Francois Borny Discusses Evolutions in PFAS Analysis
Identification of Body Fluid Traces for Forensic Purposes: An Interview with Igor Lednev
September 16th 2024As part of "The Future of Forensic Analysis," executive editor Jerome Workman, Jr. sat down with Igor Lednev to discuss several of his recent papers related to his spectroscopic research in forensic analysis.
The Scene of the Crime: Using NIR and UV-Vis Spectroscopy in Bloodstain Dating
September 16th 2024A recent study explores the effectiveness of near-infrared (NIR) and ultraviolet-visible (UV-vis) spectroscopy in determining the time since deposition (TSD) of bloodstains, a critical aspect of forensic investigations. By comparing these two methods, researchers aim to improve the accuracy and reliability of bloodstain dating, with potential implications for real-world forensic applications.