Justin R. Chimka
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor - Engineering
Also affiliated: University of Pittsburgh (1997–2020); University of Oklahoma (2002–2020)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Justin R. Chimka's research focuses on the application of chemometric models for the quantification of chemical substances in environmental and water quality contexts. His recent work includes the development of second derivative chemometric models to quantify nitrite, a method designed to mitigate interferences from natural organic matter, particularly under conditions found in chloraminated drinking water distribution systems. This research contributes to environmental monitoring by providing refined analytical techniques for assessing water quality.
Chimka's scholarly contributions are reflected in his h-index of 9 and over 1,400 citations across 73 publications. He has been involved in significant federal funding, serving as a Co-PI on an NSF grant totaling $7,000,000 for the E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science. His collaborations include work with Julian L. Fairey and Ronald L. Rardin at the University of Arkansas at Fayetteville, with whom he has co-authored multiple publications. Chimka also leads a research group and has authored or co-authored textbooks on topics including categorical data analysis and time series applications in finance.
Metrics
- h-index: 9
- Publications: 73
- Citations: 1,454
Positions
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University of Arkansas Fayetteville publications 2003–2026ORCID
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Associate Professor - Engineering publications 2003–2026University of Arkansas at Fayetteville Institution web page
Selected Publications
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PFAS quantitation with diffusive gradients in thin-film passive samplers: Capturing time-weighted average concentrations around maximum contaminant levels to facilitate compliance (2026)
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Chloronitramide Anion Quantitation in Tap Waters by Ion Chromatography with Electrical Conductivity and Ultraviolet Absorbance Detection (2026)
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Budget Constrained Model Selection for Logistic Regression (2025)
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Nitrite Quantification by Second Derivative Chemometric Models Mitigates Natural Organic Matter Interferences under Chloraminated Drinking Water Distribution System Conditions (2022)
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Budget constrained model selection for multiple linear regression (2021)
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A Note on Pure Error and Its Effect on Regression Model Significance (2020)
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An "Eia" Approach To Support Laboratory Learning Environments (2020)
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Integrated Auto Id Technology For Multi Disciplinary Undergraduate Studies (I Atmus) (2020)
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Investigating Engineering Student Estimation Processes: A Pilot Study (2020)
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An On Line Rfid Laboratory Learning Environment And The Assessment Of Its Users’ Education (2020)
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Gender and Self-Selection Among Engineering Students (2018)
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Gender and Self-Selection Among Engineering Students (2018)
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Statistical effects of waterway lock unavailability on commodity flow (2018)
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Emerging investigators series: trihalomethane, dihaloacetonitrile, and total N-nitrosamine precursor adsorption by modified carbon nanotubes (CNTs) and CNT micropillars (2017)
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Revealing a Size-Resolved Fluorescence-Based Metric for Tracking Oxidative Treatment of Total N ‑Nitrosamine Precursors in Waters from Wastewater Treatment Plants (2017)
Federal Grants 1 $7,000,000 total
E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science
Collaboration Network
Top Collaborators
- Trihalomethane, dihaloacetonitrile, and total N-nitrosamine precursor adsorption by carbon nanotubes: the importance of surface oxides and pore volume
- Nitrite Quantification by Second Derivative Chemometric Models Mitigates Natural Organic Matter Interferences under Chloraminated Drinking Water Distribution System Conditions
- Improved (and Singular) Disinfectant Protocol for Indirectly Assessing Organic Precursor Concentrations of Trihalomethanes and Dihaloacetonitriles
- Revealing a Size-Resolved Fluorescence-Based Metric for Tracking Oxidative Treatment of Total N ‑Nitrosamine Precursors in Waters from Wastewater Treatment Plants
- Emerging investigators series: trihalomethane, dihaloacetonitrile, and total N-nitrosamine precursor adsorption by modified carbon nanotubes (CNTs) and CNT micropillars
Showing 5 of 7 shared publications
- An Online RFID Laboratory Learning Environment
- Read rate analysis of radio frequency identification systems for business applications
- Integrated Auto Id Technology For Multi Disciplinary Undergraduate Studies (I Atmus)
- An "Eia" Approach To Support Laboratory Learning Environments
- An On Line Rfid Laboratory Learning Environment And The Assessment Of Its Users’ Education
- Fuzzy reliability in conceptual design
- Development of a balanced scorecard for flight line maintenance activities
- A 0-1 quadratic programme for the case of missing data in regression
- Investigating Engineering Student Estimation Processes: A Pilot Study
- An Online RFID Laboratory Learning Environment
- Integrated Auto Id Technology For Multi Disciplinary Undergraduate Studies (I Atmus)
- An "Eia" Approach To Support Laboratory Learning Environments
- An On Line Rfid Laboratory Learning Environment And The Assessment Of Its Users’ Education
- Gender and Self-Selection Among Engineering Students
- Gender and Self-Selection Among Engineering Students
- Gender and Self-Selection Among Engineering Students
- Trihalomethane, dihaloacetonitrile, and total N-nitrosamine precursor adsorption by carbon nanotubes: the importance of surface oxides and pore volume
- Revealing a Size-Resolved Fluorescence-Based Metric for Tracking Oxidative Treatment of Total N ‑Nitrosamine Precursors in Waters from Wastewater Treatment Plants
- Emerging investigators series: trihalomethane, dihaloacetonitrile, and total N-nitrosamine precursor adsorption by modified carbon nanotubes (CNTs) and CNT micropillars
- Development of a balanced scorecard for flight line maintenance activities
- Statistical process control for the fractal dimension of a time series
- On quality control standards to evaluate microarray studies
- Similarity of Multivariate Methods to Establish Microarray Quality Control Standards
- On quality control standards to evaluate microarray studies
- A demerit system for binomial distributed defects applied to medication error severity data
- New Demerit Control Limits for Poisson Distributed Defects
- Type II Errors of Demerit Control Charts
- Proportional Hazards Models of Graduation
- Modeling reliability with a two-sided power distribution
- History of ordinal variables before 1980
- Comparing with Relative Accuracy Two Independent Ordinal Samples
- Revealing a Size-Resolved Fluorescence-Based Metric for Tracking Oxidative Treatment of Total N ‑Nitrosamine Precursors in Waters from Wastewater Treatment Plants
- Statistical effects of waterway lock unavailability on commodity flow
- Budget constrained model selection for multiple linear regression
- Budget Constrained Model Selection for Logistic Regression
- Budget constrained model selection for multiple linear regression
- Budget Constrained Model Selection for Logistic Regression
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