Lenka Halámková
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Dr. Lenka Halámková
Texas Tech University, High Dimensional Data Analysis
Email: lenka.halamkova@ttu.edu
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Specialization: Dr. Halámková specializes in applying multivariate statistical methods, primarily machine learning algorithms, to vibrational spectroscopic data for various applications. By analyzing biological markers, she identifies patterns linked to personal attributes and conducts data analysis, statistical tests, and predictive modeling to support her findings.
Projects: Mine and Unexploded Ordinance Clearing /Terrorism WMD/Biomarkers
Selected Publications
Barney, A., Trojan, V., Hrib, R., Newland, A., Halámek, J., Halámková, L. (2025). From Spectra to Signatures: Detecting Fentanyl in Human Nails with ATR–FTIR and Machine Learning. Sensors, 25(1), 227. https://doi.org/10.3390/s25010227.
Mitu, B., Trojan, V., Hrib, R., Halámková, L. (2025). Attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) analysis of human nails: Implications for age determination in forensics. J Forensic Sci., 70: 150 – 160. https://doi.org/10.1111/1556-4029.15641.
Vyas, B., Halámková, L., Lednev, I. K. (2024). Phenotypic profiling based on body fluid traces discovered at the scene of crime: Raman spectroscopy of urine stains for race differentiation. Analyst, 149, 20: 5081 – 5090. http://dx.doi.org/10.1039/D4AN00938J.
Rania, V., Newland, A., Halámková, L., Trojan, V., Hřib, R., Halámek, J. (2024). Evaluation of Fentanyl Exposure Effects on Butyrylcholinesterase Activity as a Tool for Future On-Site Detection Methods. ACS Omega, 9, 38, 40234-40241. DOI: 10.1021/acsomega.4c06655
Greco, M., Eldridge, M., Banks, E., Halámková, L., Halámek J. (2024) Metabolite Monitoring Concept for the Biometric Identification of Individuals from the Skin Surface. Analyst, 149 (2): 350-356. https://doi.org/10.1039/D3AN01605F.
Mitu, B., Trojan, V., Halámková, L. (2023) Sex Determination of Human Nails Based on Attenuated Total Reflection Fourier Transform Infrared Spectroscopy in Forensic Context. Sensors, 23, 9412. https://doi.org/10.3390/s23239412.
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