PhD
ORCiD: 0000-0002-5770-3706
Skills
Software: Microsoft Office Word, Excel and PowerPoint.
Programs:
Chemical Analysis Equipment: Quantum Cascade Laser (QCL).
Projects
- Docking and Molecular Dynamic of Microalgae Compounds as Potential Inhibitors of Beta-Lactamase (2022)
- API Content and Blend Uniformity Using Quantum Cascade Laser Spectroscopy Coupled with Multivariate Analysis (2021)
- A LabVIEW based virtual instrument system for mid infrared laser spectroscopy measurements (2021)
- Self-assembly and supramolecular isomerism in 1D metal–organometallic networks based on transition-metal assemblies from 1, 1′-ferrocene-dicarboxylic acid and ancillary (2021)
- Anomaly identification during polymerase chain reaction for detecting SARS-cov-2 using artificial intelligence trained from simulated data (2020)
- Modulated-laser source induction system for remote detection of infrared emissions of high explosives using laser-induced thermal emission (2020)
- Self-Simulated Learning Artificial Intelligence for the Detection of High Explosives in Soil by Mid Infrared Laser Spectroscopy (2020)
- Artificial intelligence assisted mid-infrared laser spectroscopy in situ detection of petroleum in soils (2020)
- Estimación de la relación entre el perfil de la onda del pulso cardíaco y la presión arterial a través de un sistema digital de monitoreo de pulsaciones por minutos (2020)
- Mid-infrared laser spectroscopy detection and quantification of explosives in soils using multivariate analysis and artificial intelligence (2020)
- Surface persistence of trace level deposits of highly energetic materials (2019)
- Quantum cascade laser back‐reflection spectroscopy at grazing‐angle incidence using the fast Fourier transform as a data preprocessing algorithm (2019)
- Enhanced RDX detection studies on various types of substrates via tunable quantum cascade laser spectrometer coupled with grazing angle probe (2019)
- Mid-infrared laser spectroscopy applications I: Detection of traces of high explosives on reflective and matte substrates (2019)
- Classical least squares-assisted mid-infrared (MIR) laser spectroscopy detection of high explosives on fabrics (2019)
- Mid-Infrared Laser Spectroscopy Applications in Process Analytical Technology: Cleaning Validation, Microorganisms, and Active Pharmaceutical Ingredients in Formulations (2018)