Ahmad Mani‐Varnosfaderani
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: University of Bern (2012); Sharif University of Technology (2009–2014); Consejo Superior de Investigaciones Científicas (2020); University of British Columbia (2022–2023); Tarbiat Modares University (2014–2026); Institute of Environmental Assessment and Water Research (2020); Arkansas Children's Nutrition Center (2025–2026); Institute for Research in Fundamental Sciences (2018)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ahmad Mani‐Varnosfaderani's research focuses on the application of chemometric and machine learning methods for the analysis and classification of various substances. His work involves developing and employing techniques such as Fourier-transform infrared (FT-IR) spectroscopy, ion mobility spectrometry, and fluorescence spectroscopy, often in combination with pattern recognition and sparse chemometric approaches. These methods have been applied to diverse matrices, including juice samples, rice varieties, lime juice, grape seed oil, and saffron, for purposes of quality control, authentication, and fraud detection.
Recent publications also indicate an interest in deriving structure-activity relationships for molecular models using machine learning, as well as pilot studies investigating breath biomarkers for disease status in individuals with cystic fibrosis. His scholarship metrics include an h-index of 18, with 88 total publications and 999 citations. Collaborations include shared publications with researchers such as Renny S. Lan, Sree V. Chintapalli, Brian D. Piccolo, and Colin D. Kay, all at the University of Arkansas for Medical Sciences.
Metrics
- h-index: 18
- Publications: 87
- Citations: 1,002
Selected Publications
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Integrating fingerprint prediction and physicochemical property filtering to annotate unknown metabolites from high-resolution MS/MS spectra (2026)
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MS2FinProp_Data_Files (2026)
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MS2FinProp_Data_Files (2026)
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Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery (2025)
Collaboration Network
Top Collaborators
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
- Beyond the Known Metabolome: Predictive Strategies for Dark Matter Discovery
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