Faculty

Institution

Unit

Venue

Elham Buxton

Associate Professor

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

Department Of Computer Science

Computer Science

Department Of Computer Science

Data Analytics

Elham Buxton is currently serving as a College Of Health, Science And Technology Associate Professor at University of Illinois-Springfield.

Honors

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Experiences

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Education

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Elham Buxton

University of Illinois-Springfield

Associate Professor

You can click a keyword to filter the displayed items

data science applied mathematics machine learning predictive analytics bioinformatics technological forecasting forecasting methodology antibody engineering epidemiology pediatrics decision theory adolescent health longitudinal studies population health clinical epidemiology soft computing child nutrition pediatric obesity machine learning research affective computing protein science behavioral education image representation multimedia information processing scientific computing quantitative science studies general systems statistical methodology computational statistics nonlinear dynamics preventive pediatrics child health recurrent neural networks economic forecasting multimodal sentiment analysis emotion recognition curriculum development classroom instruction microarray data analysis feature engineering structural bioinformatics intelligent forecasting financial time series analysis probabilistic forecasting nonlinear time series high-throughput screening ethical analysis ethic education professional ethics pattern analysis geometric learning technology management technology assessment nuclear safety bayesian decision theory central illinois region multiple logistic regression association rule mining sales tax curriculum model biological sequential data deep sequencing key residues scfv antibody variants protein language models metalloproteinase inhibitors low-n engineering de bruijn graphs high throughput screening scfv antibody applied artificial intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ethics Continuing Education Events at Association for Behavior Analysis International Annual Conventions (2016-2024): A Topic Modeling Analysis. Behavior Analysis in Practice (2026)

behavioral educationeducationprofessional ethicsethical analysisethicsethical leadershipethic education

LGQ: Learnable Geometric Quantization for Image Tokenization. Open MIND (2026)

computer sciencegeometric learningmultimedia information processingdigital image processingpattern analysisimage representationimage analysisapplied mathematics

Risks Create a Jagged Frontier of Llm Productivity Gains Across Computer Occupations. SSRN Electronic Journal (2026)

workforce developmentmanagement information systemstechnology assessmenttechnologytechnological forecastingtechnology managementinformation technologymanagement

When-Is-Learning-Warranted: Sc26 Poster Submission (Rpost128S1). Zenodo (CERN European Organization for Nuclear Research) (2026)

nuclear sciencetechnologynuclear chemistrynuclear safety

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using Timesnet. IEEE Access (2025)

computer sciencepredictive analyticsnonlinear time seriesforecastingintelligent forecastingprobabilistic forecastingde bruijn graphsneural network (machine learning)data scienceforecasting methodologyfinancial time series analysisapplied mathematicstime series

Engineering Single-Chain Antibody Fragment (Scfv) Variants Targeting a Disintegrin and Metalloproteinase-17 (Adam-17). Biomolecules (2025)

protein scienceimmunologyantibody engineeringprotein engineeringbiomolecular engineering

Multivariate De Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting. arXiv (Cornell University) (2025)

functional data analysisstatistical methodologypredictive analyticsquantitative analysis (finance)forecastingscientific computingstatisticstechnological forecastinggeneral systemsdata modelingcomputational statisticsdata sciencenonlinear dynamicsquantitative science studiesapplied mathematicstime seriesstatistical models

An Extended De Bruijn Graph for Feature Engineering Over Biological Sequential Data. Machine Learning Science and Technology (2024)

Mert Onur CakirogluHasan KurbanParichit SharmaM Oguzhan KulekciElham Khorasani BuxtonMaryam Raeeszadeh-SarmazdehMehmet M Dalkilic

microarray data analysisbiological sequential datafeature engineeringdata sciencebioinformaticsmachine learning

Determining Key Residues of Engineered Scfv Antibody Variants With Improved Mmp-9 Binding Using Deep Sequencing and Machine Learning. Computational and Structural Biotechnology Journal (2024)

Masoud KalantarIfthichar KalantherSachin KumarElham Khorasani BuxtonMaryam Raeeszadeh-Sarmazdeh

deep sequencingkey residuesbioinformaticsbiochemistrystructural bioinformaticsbiotechnologyscfv antibody variantsstructural biologymachine learning

Elucidating Key Determinants of Engineered Scfv Antibody in Mmp-9 Binding Using High Throughput Screening and Machine Learning. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Masoud KalantarIfthichar KalantherSachin KumarElham Khorasani BuxtonMaryam Raeeszadeh-Sarmazdeh

biological engineeringhigh-throughput screeningscfv antibodyimmunologyantibody engineeringprotein engineeringpharmacologyhigh throughput screeningmachine learning

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Elham Buxton

Associate Professor

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

Department Of Computer Science

Computer Science

Department Of Computer Science

Data Analytics

Elham Buxton is currently serving as a College Of Health, Science And Technology Associate Professor at University of Illinois-Springfield.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Elham Buxton

University of Illinois-Springfield

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ethics Continuing Education Events at Association for Behavior Analysis International Annual Conventions (2016-2024): A Topic Modeling Analysis. Behavior Analysis in Practice (2026)

behavioral educationeducationprofessional ethicsethical analysisethicsethical leadershipethic education

LGQ: Learnable Geometric Quantization for Image Tokenization. Open MIND (2026)

computer sciencegeometric learningmultimedia information processingdigital image processingpattern analysisimage representationimage analysisapplied mathematics

Risks Create a Jagged Frontier of Llm Productivity Gains Across Computer Occupations. SSRN Electronic Journal (2026)

workforce developmentmanagement information systemstechnology assessmenttechnologytechnological forecastingtechnology managementinformation technologymanagement

When-Is-Learning-Warranted: Sc26 Poster Submission (Rpost128S1). Zenodo (CERN European Organization for Nuclear Research) (2026)

nuclear sciencetechnologynuclear chemistrynuclear safety

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using Timesnet. IEEE Access (2025)

Engineering Single-Chain Antibody Fragment (Scfv) Variants Targeting a Disintegrin and Metalloproteinase-17 (Adam-17). Biomolecules (2025)

protein scienceimmunologyantibody engineeringprotein engineeringbiomolecular engineering

Multivariate De Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting. arXiv (Cornell University) (2025)

An Extended De Bruijn Graph for Feature Engineering Over Biological Sequential Data. Machine Learning Science and Technology (2024)

Mert Onur CakirogluHasan KurbanParichit SharmaM Oguzhan KulekciElham Khorasani BuxtonMaryam Raeeszadeh-SarmazdehMehmet M Dalkilic

microarray data analysisbiological sequential datafeature engineeringdata sciencebioinformaticsmachine learning

Determining Key Residues of Engineered Scfv Antibody Variants With Improved Mmp-9 Binding Using Deep Sequencing and Machine Learning. Computational and Structural Biotechnology Journal (2024)

Masoud KalantarIfthichar KalantherSachin KumarElham Khorasani BuxtonMaryam Raeeszadeh-Sarmazdeh

deep sequencingkey residuesbioinformaticsbiochemistrystructural bioinformaticsbiotechnologyscfv antibody variantsstructural biologymachine learning

Elucidating Key Determinants of Engineered Scfv Antibody in Mmp-9 Binding Using High Throughput Screening and Machine Learning. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Masoud KalantarIfthichar KalantherSachin KumarElham Khorasani BuxtonMaryam Raeeszadeh-Sarmazdeh

biological engineeringhigh-throughput screeningscfv antibodyimmunologyantibody engineeringprotein engineeringpharmacologyhigh throughput screeningmachine learning

1
2
10 / page