Maycom Cezar Valeriano
Center for Natural and Human Sciences · Federal University of ABC
Research Interests
Machine Learning, SERS spectroscopy, Raman Spectroscopoy, Biofuels, Biosensors, Biosensing.
Biography
Possesses expertise in developing machine learning routines for processing instrumental data, spectroscopic techniques (Raman, IR, etc.), atomic spectrometry, data processing, and water treatment processes. Internship Experience: AguaLev Technology (FORTLEV Group): Assisted in the development and execution of projects involving reverse osmosis and radial capacitive deionization equipment, development of water and wastewater treatment systems, research and development of new products related to the sanitation market, and administrative activities. Graduate Studies: Master's in Chemistry (UFABC): Supported by the Human Resources Program of the National Petroleum Agency (PRH-ANP/FUNDEP), developed methodologies for evaluating biodiesel stability parameters using Raman spectroscopy associated with machine learning. Ph.D. Studies: Currently developing plasmonic biosensors from noble metals synthesized in deep eutectic solvents and their applications using machine learning.
Education
Master in Chemistry
Recent Google Scholar Publications
- Deep Eutectic Solvent Ag Nanoparticle Plasmonic Platform for Sensing in Hydrophobic Media
- Single-step extraction & plasmonic sensing of sulphur in fuels using machine learning analysis of RGB images
- Water Content Compliance of Biodiesel Assessed by Raman Spectroscopy and Machine Learning Classifiers
- Human health risk assessment and concentration of Al, Mn, Fe, Cu, Zn, Se, As, Cd, Pb, Hg, Rb, and REEs in chocolate
- Improving 5-halouracils SERS detection driven by Watson & Crick pairing recognition. A spectroscopic & DFT study
Links
- ORCID https://orcid.org/0000-0001-8479-9259
- Google Scholar https://scholar.google.com/citations?user=yAn0IwEAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None