Faculty

Institution

Unit

Venue

Eric Miller

Professor

Tufts University

Affiliations

School of Engineering

Biomedical Engineering

Computer Science

Graduate School of Arts and Sciences

School of Arts and Sciences

Mathematics

Eric Miller is currently serving as a Biomedical Engineering Professor at Tufts University.

Honors

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Experiences

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Education

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Eric Miller

Tufts University

Professor

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materials science applied physics medical imaging biomedical imaging optical engineering engineering computer science remote sensing computer vision photoelectrochemistry optoelectronics hydrogen production energy research instrumentation computational imaging inverse problems energy engineering thin films sustainable energy technologies hydrogen energy photocatalysis earth observation image reconstruction computed tomography water splitting medical image analysis diffuse optical tomography 3d imaging energy chemistry advanced energy material medical image computing thermal engineering electronic materials earth observation data acoustical engineering buried objects geophysical research material research breast imaging image segmentation musculoskeletal research statistical signal processing cancer imaging photoelectrochemical hydrogen production bone research optical imaging image restoration musculoskeletal science hyperspectral imaging photoelectrochemical water splitting orthopaedic research energy conversion energy production electrochemical interfaces sensor arrays image denoising eeg signal processing optical metrology tissue imaging advanced energy technology sensor technology magnetic resonance images osteoarthritis initiative fiber science surface electrochemistry semiconductor devices tungsten oxide films intracranial aneurysms statistical classification buried mines energy hydrogen electrochromic behavior solar hydrogen production epidermal applications nitrogen doping linear reconstruction techniques

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Pet/Ct Imaging of Tuberculosis Lung Lesions in Marmosets Treated With Different Drug Regimens Aligns With Human Clinical Outcomes. Science Translational Medicine (2026)

pulmonary tuberculosistuberculosistuberculosis lung lesionsmedical imagingradiologycancer imagingmedicinethoracic oncologypet/ct imagingmultiple pulmonary nodulehuman clinical outcomes

Beyond Boundaries: A Location-Based Toolkit for Quantifying Group Dynamics in Diverse Contexts. Cognitive Research Principles and Implications (2025)

Seth Elkin-FrankstonJames McIntyreTad T BrunyéAaron L GardonyClifford L HancockMeghan P O'DonovanVictoria G BodeEric L Miller

location-based toolkitgroup dynamicsdiverse contextscognitive science

Parametric Level-Sets Enhanced to Improve Reconstruction (Palentir). Inverse Problems (2025)

Ege OzsarMisha KilmerEric de SturlerArvind SaibabaEric L Miller

parametric level-setsapplied mathematicsmachine learning

Salivary Biosensing Opportunities for Predicting Cognitive and Physical Human Performance. Biosensors (2025)

cognitive sciencesalivary biosensing opportunitiesneuroscienceoral biologycognitive analysisapplied cognitive psychologyhuman performancecognition

Towards Real-Time Detection of Anomalous Behavior in Crowds From Accelerometer Time Series. (2025)

sensorscomputer scienceinformation fusionaccelerometer time seriessignal processingtime seriescrowd simulationtowards real-time detectionanomaly detectionubiquitous computingdata miningoutlier detectiondata scienceanomalous behaviorstatistics

Discovering Group Dynamics in Coordinated Time Series via Hierarchical Recurrent Switching-State Models. arXiv (Cornell University) (2024)

Wojnowicz, MichaelRath, PreetishMiller, EricMiller, JeffreyHancock, CliffordO'Donovan, MeghanElkin-Frankston, SethBrunye, ThaddeusHughes, Michael C.

synchronous time seriesapplied mathematicstime seriesmachine learning

Movement Sensing Opportunities for Monitoring Dynamic Cognitive States. Sensors (2024)

Tad T. BrunyéJames McIntyreGregory I. HughesEric L. Miller

sensorsdynamic cognitive statesmotion detectionaction monitoringphysiological measurementsmovement analysiscognitive sciencesensor technology

Multi-Modal, Label-Free, Optical Mapping of Cellular Metabolic Function and Oxidative Stress in 3D Engineered Brain Tissue Models. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Yang ZhangMaria SavvidouVolha LiaudanskayaVarshini RamanathanThi BuiMatthew LindleyAsh SzeUgochukwu O. UgwuYuhang FuMatthew E. DilsizianXinjie ChenSevara NasritdinovaAonkon DeyEric L. MillerDavid L. KaplanIrene Georgakoudi

optical mappingbiomedical engineeringcellular metabolic functiontissue engineeringbrain mapping

On the Reliable Estimation of Sequential Monod Kinetic Parameters. Journal of Contaminant Hydrology (2024)

Jack L ElseyEric L MillerJohn A ChristLinda M Abriola

water qualityenvironmental engineeringwater sciencereliable estimationhydrology

Self-Supervised Anomaly Detection and a New Benchmark for X-Ray Cargo Images. 2022 IEEE International Conference on Image Processing (ICIP) (2024)

Bipin GaikwadAbani PatraCarl CrawfordEric Miller

radiographic imagingx-ray cargo imagesanomaly detectiondata scienceself-supervised anomaly detectionbiomedical imagingmachine learninginformation fusioncomputer sciencenovelty detectionradiologycomputer visionmedical imagingimage analysismedical image computingcomputational imagingdigital image processingmachine learning researchradar image processingself-supervised learning

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Eric Miller

Professor

Tufts University

Affiliations

School of Engineering

Biomedical Engineering

Computer Science

Graduate School of Arts and Sciences

School of Arts and Sciences

Mathematics

Eric Miller is currently serving as a Biomedical Engineering Professor at Tufts University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Eric Miller

Tufts University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Pet/Ct Imaging of Tuberculosis Lung Lesions in Marmosets Treated With Different Drug Regimens Aligns With Human Clinical Outcomes. Science Translational Medicine (2026)

pulmonary tuberculosistuberculosistuberculosis lung lesionsmedical imagingradiologycancer imagingmedicinethoracic oncologypet/ct imagingmultiple pulmonary nodulehuman clinical outcomes

Beyond Boundaries: A Location-Based Toolkit for Quantifying Group Dynamics in Diverse Contexts. Cognitive Research Principles and Implications (2025)

Seth Elkin-FrankstonJames McIntyreTad T BrunyéAaron L GardonyClifford L HancockMeghan P O'DonovanVictoria G BodeEric L Miller

location-based toolkitgroup dynamicsdiverse contextscognitive science

Parametric Level-Sets Enhanced to Improve Reconstruction (Palentir). Inverse Problems (2025)

Ege OzsarMisha KilmerEric de SturlerArvind SaibabaEric L Miller

parametric level-setsapplied mathematicsmachine learning

Salivary Biosensing Opportunities for Predicting Cognitive and Physical Human Performance. Biosensors (2025)

cognitive sciencesalivary biosensing opportunitiesneuroscienceoral biologycognitive analysisapplied cognitive psychologyhuman performancecognition

Towards Real-Time Detection of Anomalous Behavior in Crowds From Accelerometer Time Series. (2025)

Discovering Group Dynamics in Coordinated Time Series via Hierarchical Recurrent Switching-State Models. arXiv (Cornell University) (2024)

Wojnowicz, MichaelRath, PreetishMiller, EricMiller, JeffreyHancock, CliffordO'Donovan, MeghanElkin-Frankston, SethBrunye, ThaddeusHughes, Michael C.

synchronous time seriesapplied mathematicstime seriesmachine learning

Movement Sensing Opportunities for Monitoring Dynamic Cognitive States. Sensors (2024)

Tad T. BrunyéJames McIntyreGregory I. HughesEric L. Miller

sensorsdynamic cognitive statesmotion detectionaction monitoringphysiological measurementsmovement analysiscognitive sciencesensor technology

Multi-Modal, Label-Free, Optical Mapping of Cellular Metabolic Function and Oxidative Stress in 3D Engineered Brain Tissue Models. bioRxiv (Cold Spring Harbor Laboratory) (2024)

optical mappingbiomedical engineeringcellular metabolic functiontissue engineeringbrain mapping

On the Reliable Estimation of Sequential Monod Kinetic Parameters. Journal of Contaminant Hydrology (2024)

Jack L ElseyEric L MillerJohn A ChristLinda M Abriola

water qualityenvironmental engineeringwater sciencereliable estimationhydrology

Self-Supervised Anomaly Detection and a New Benchmark for X-Ray Cargo Images. 2022 IEEE International Conference on Image Processing (ICIP) (2024)

Bipin GaikwadAbani PatraCarl CrawfordEric Miller

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