Faculty

Institution

Unit

Venue

Richard B Sowers

Professor of ISE & Mathematics

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Mathematics

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Richard B Sowers is currently serving as a College Of Liberal Arts & Sciences Professor of ISE & Mathematics at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Richard B Sowers

University of Illinois Urbana-Champaign

Professor of ISE & Mathematics

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applied mathematics stochastic process mathematics stochastic partial differential equations stochastic calculus nonlinear dynamics stochastic differential equations stochastic dynamical systems dynamical systems statistical mechanics differential equations physiological measurements probability theory rehabilitation kinesiology partial differential equations statistical physics asymptotic analysis nonlinear phenomena boundary value problems stochastic phenomena nonlinear analysis movement disorders neurorehabilitation nonlinear science finance research hamiltonian system movement analysis large deviations ergodic theory difference equations digital medicine gait analysis health monitoring spectral theory filtering technique state estimation financial mathematics empirical finance financial network analysis pathological gait stochastic geometry linear systems stochastic systems portfolio optimization diffusion process random perturbation random perturbations numerical mathematics vehicle system dynamics traffic models mathematical statistical physic financial networks anomalous diffusion statistical signal processing fall prevention discrete-time linear systems large deviations analysis large deviations principle markov kernel gaussian process demand response intelligent energy system smart energy credit markets hamiltonian theory reaction-diffusion equation nonlinear filtering discrete-time filtering mean exit times random heat kernels deep learning approach motor impairment severity persistent homology non-gaussian initial conditions large deviations principles financial stability financial engineering finance

Notable Scholarly Works

Notable Federal Grants

Collaborators

Continuous Heart Rate Recovery Monitoring With Ecg Signals From Wearables: Identifying Risk Groups in the General Population. IEEE Journal of Biomedical and Health Informatics (2025)

Ayse DoganAlka BishnoiRichard B. SowersManuel E. Hernandez

human monitoringwearable sensorsheart rate recoveryslower hrrhealth policyhealth technologyphysiological measurementscardiovascular fitnessdigital healthpatient monitoringcardiovascular researchwearable systemsdigital medicinewearable technologyhealth sciencesecg signalshealth monitoring

Extending Anxiety Detection From Multimodal Wearables in Controlled Conditions to Real-World Environments. Sensors (2025)

Abdulrahman AlkurdiMaxine HeJonathan CernaJean CloreRichard SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

feature-based modelsmachine learning researchwearable sensorsmachine learningbiostatisticsdata scienceaffective computingphysiological measurementswearable systemscontrolled conditionshealth technologywearable technologyhealth monitoring

Objective Anxiety Level Classification Using Unsupervised Learning and Multimodal Physiological Signals. Smart Health (2025)

Maxine HeJonathan CernaRoshni MathewJiaqi ZhaoJennifer ZhaoEthan EspinaJean L. CloreRichard B. SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

affective neuroscienceemotional responsesanxiety disordersneuroscienceaffective computingphysiological measurementsemotion recognitionpsychologyaffectmultimodal physiological signalsemotionsunsupervised learning

Review of ML Approaches in Anxiety Detection From In-Lab to In-The-Wild. (2025)

Maxine HeAbdulrahman AlkurdiJean L. CloreRichard B. SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

anxiety detectioncomputational intelligencemachine learning researchml approachesmental health monitoringaffective neurosciencemachine learning modelsmachine learninganxiety disordersdata scienceaffective computingemotion recognitionpsychologydata-driven predictionemotionsdeep learning

Physical, Social and Cognitive Stressor Identification Using Electrocardiography-Derived Features and Machine Learning From a Wearable Device. (2024)

Maxine HeJonathan CernaAbdul AlkurdiAyse DoganJennifer ZhaoJean L. CloreRichard SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

classification methodwearable devicedifferent stressorsmachine learningdata sciencephysiological measurementsdigital healthhealth technologydigital medicinewearable technologyhealth sciencesmental health monitoringhealth monitoring

Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors. Applied Sciences (2024)

Abdulrahman AlkurdiJean CloreRichard SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

noisemachine learning researchmachine learning modelscomputer scienceanxiety disordersmachine learningdata scienceaffective computingphysiological measurementsemotion recognitionnoisy datawearable systemswearable technologyanxiety detectionemotionsmental health monitoringgaussian noise

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments. Sensors (2023)

Mehar SinghPrithvi PrakashRachneet KaurRichard SowersJames Robert BrašićManuel Enrique Hernandez

machine learning modelswearable technologymovement disordersneurologyrehabilitationdeep learning approachphysiological measurementsmotor impairment progressionassistive technologykinesiologymotor impairment severitymachine learning researchneurorehabilitationmachine learningparkinson's diseaserehabilitation roboticsdigital medicinedeep learningdata augmentation

A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson’s Disease. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023)

Prithvi PrakashRachneet KaurJoshua LevyRichard SowersJames BrašićManuel E. Hernandez

kinesiologymotor impairment severitydeep learning approachmachine learning researchneurorehabilitationwearable technologymachine learningparkinson's diseasemovement disordersconvolutional neural networksphysiological measurementsmotor disordersdeep learning approachesneurologydigital medicinerehabilitationdeep learningneural network (machine learning)

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. IEEE Transactions on Biomedical Engineering (2023)

Rachneet KaurJoshua LevyRobert W. MotlRichard SowersManuel E. Hernandez

neurorehabilitationneurological functioningneuroscienceneurological functionmovement disorderspathological gaitcentral nervous systemcomputational neurosciencemultiple sclerosisrehabilitationneuroimagingdeep learningms gait

Side Boundary Potentials for a Kolmogorov-Type Pde. arXiv (Cornell University) (2023)

Sowers, Richard

side boundary potentialsnumerical analysisparabolic equationsabstract and applied analysisapplied mathematicsdifference equationshyperbolic conservation lawsapproximate boundary potentialpartial differential equationsnumerical method for partial differential equationdifferential equationsboundary value problemsboundary conditionnonlinear hyperbolic problem

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Richard B Sowers

Professor of ISE & Mathematics

University of Illinois Urbana-Champaign

Affiliations

College of Liberal Arts & Sciences

Department of Mathematics

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Richard B Sowers is currently serving as a College Of Liberal Arts & Sciences Professor of ISE & Mathematics at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Richard B Sowers

University of Illinois Urbana-Champaign

Professor of ISE & Mathematics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Continuous Heart Rate Recovery Monitoring With Ecg Signals From Wearables: Identifying Risk Groups in the General Population. IEEE Journal of Biomedical and Health Informatics (2025)

Ayse DoganAlka BishnoiRichard B. SowersManuel E. Hernandez

Extending Anxiety Detection From Multimodal Wearables in Controlled Conditions to Real-World Environments. Sensors (2025)

Abdulrahman AlkurdiMaxine HeJonathan CernaJean CloreRichard SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

Objective Anxiety Level Classification Using Unsupervised Learning and Multimodal Physiological Signals. Smart Health (2025)

Maxine HeJonathan CernaRoshni MathewJiaqi ZhaoJennifer ZhaoEthan EspinaJean L. CloreRichard B. SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

Review of ML Approaches in Anxiety Detection From In-Lab to In-The-Wild. (2025)

Maxine HeAbdulrahman AlkurdiJean L. CloreRichard B. SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

Physical, Social and Cognitive Stressor Identification Using Electrocardiography-Derived Features and Machine Learning From a Wearable Device. (2024)

Maxine HeJonathan CernaAbdul AlkurdiAyse DoganJennifer ZhaoJean L. CloreRichard SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors. Applied Sciences (2024)

Abdulrahman AlkurdiJean CloreRichard SowersElizabeth T. Hsiao-WeckslerManuel E. Hernandez

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson’s Disease for Use in Tele-Assessments. Sensors (2023)

Mehar SinghPrithvi PrakashRachneet KaurRichard SowersJames Robert BrašićManuel Enrique Hernandez

Prithvi PrakashRachneet KaurJoshua LevyRichard SowersJames BrašićManuel E. Hernandez

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. IEEE Transactions on Biomedical Engineering (2023)

Rachneet KaurJoshua LevyRobert W. MotlRichard SowersManuel E. Hernandez

Side Boundary Potentials for a Kolmogorov-Type Pde. arXiv (Cornell University) (2023)

Sowers, Richard

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