Faculty

Institution

Unit

Venue

Richard B Sowers

Professor of ISE & Mathematics

UIUC

Affiliations

College of Liberal Arts & Sciences

Department of Mathematics

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Industrial & Enterprise Systems Engineering

Richard B Sowers is currently serving as a College Of Liberal Arts & Sciences Professor of ISE & Mathematics at Uiuc.

Honors

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Experiences

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Education

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Richard B Sowers

UIUC

Professor of ISE & Mathematics

You can click a keyword to filter the displayed items

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 smart energy intelligent energy system demand response 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 finance financial stability financial engineering

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

health policycardiovascular researchhuman monitoringhealth monitoringdigital healthwearable sensorswearable technologyecg signalsheart rate recoveryhealth technologypatient monitoringslower hrrphysiological measurementsdigital medicinehealth scienceswearable systemscardiovascular fitness

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

biostatisticshealth monitoringwearable sensorswearable technologycontrolled conditionshealth technologymachine learning researchphysiological measurementsdata scienceaffective computingfeature-based modelswearable systemsmachine learning

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

emotion recognitionaffectunsupervised learningneuroscienceemotionsphysiological measurementsemotional responsesaffective computingaffective neuroscienceanxiety disorderspsychologymultimodal physiological signals

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

emotion recognitiondata-driven predictionmachine learning modelsdeep learningemotionsml approachesmachine learning researchcomputational intelligencedata scienceaffective computinganxiety detectionaffective neurosciencemental health monitoringanxiety disorderspsychologymachine 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

health monitoringdigital healthwearable technologywearable deviceclassification methodhealth technologyphysiological measurementsdifferent stressorsdata sciencedigital medicinemental health monitoringhealth sciencesmachine learning

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

computer scienceemotion recognitiongaussian noisenoisy datawearable technologymachine learning modelsemotionsmachine learning researchphysiological measurementsdata scienceaffective computinganxiety detectionmental health monitoringanxiety disorderswearable systemsmachine learningnoise

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 modelsmachine learningdeep learningdeep learning approachparkinson's diseasephysiological measurementsmotor impairment progressionneurorehabilitationrehabilitation roboticswearable technologymotor impairment severitykinesiologyrehabilitationneurologymovement disordersassistive technologymachine learning researchdata augmentationdigital medicine

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

neurologyconvolutional neural networksdeep learning approachesdeep learningwearable technologymotor impairment severitydeep learning approachparkinson's diseasemovement disorderskinesiologyneural network (machine learning)motor disordersmachine learning researchphysiological measurementsdigital medicineneurorehabilitationrehabilitationmachine 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

ms gaitmultiple sclerosisdeep learningneurological functioningcentral nervous systemneurosciencemovement disorderspathological gaitneurological functioncomputational neuroscienceneuroimagingneurorehabilitationrehabilitation

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

Sowers, Richard

difference equationshyperbolic conservation lawsboundary value problemsabstract and applied analysisnumerical method for partial differential equationnonlinear hyperbolic problemnumerical analysisboundary conditionparabolic equationsside boundary potentialsapproximate boundary potentialpartial differential equationsdifferential equationsapplied mathematics

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Richard B Sowers

Professor of ISE & Mathematics

UIUC

Affiliations

College of Liberal Arts & Sciences

Department of Mathematics

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Industrial & Enterprise Systems Engineering

Richard B Sowers is currently serving as a College Of Liberal Arts & Sciences Professor of ISE & Mathematics at Uiuc.

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

UIUC

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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