Faculty

Institution

Unit

Venue

Austin Brockmeier

Assistant Professor

University of Delaware

Affiliations

College of Engineering

Department of Computer and Information Sciences

Department of Electrical and Computer Engineering

Austin Brockmeier is currently serving as a College Of Engineering Assistant Professor at University of Delaware.

Honors

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Experiences

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Education

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Austin Brockmeier

University of Delaware

Assistant Professor

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neuroscience machine learning computational neuroscience cognitive neuroscience data science systems neuroscience computer science electrophysiology neurophysiology electrical engineering knowledge discovery biomedical informatics health informatics neural engineering speech processing waveform analysis computational intelligence machine learning research similarity search neural science document clustering eeg signal processing acoustic signal processing acoustic modeling computational imaging information fusion machine vision scientific computing health information science quantitative science studies medical internet research digital medicine mechanical science biomedical imaging neuroscience of aging research synthesis medical decision making citation analysis semi-supervised learning biomedical text mining biomedical data science automatic classification brain stimulation kernel methods game ai similarity measure content similarity detection semantic similarity sparse representations multilinear subspace learning audio signal processing neuroinformatics knowledge data engineering data engineering knowledge engineering health data adaptive control dynamic positioning shape modeling geometry generation systematic reviews user study reference prioritisation pico recognition label propagation optimized microstimulation sensory prosthesis naturalistic cortical responses kernel-based metric learning recurrent waveforms adaptive inverse control nearest neighbor interpolation metric learning similarity measurements tensor-product-kernel framework self-tuned descriptive document multidisciplinary ai informatics machine intelligence biomedical engineering biomedical computing memetic computing signal processing advanced intelligent system

Notable Scholarly Works

Notable Federal Grants

Collaborators

885 Bo12 – Developing a Post-Concussion Injury Prediction Model. (2024)

Thomas BuckleyMelissa AndersonAustin BrockmeierWei Qian

traumaconcussioninjury preventionneurosciencerehabilitationorthopaedic surgery

Integrative Data Analysis to Identify Persistent Post-Concussion Deficits and Subsequent Musculoskeletal Injury Risk: Project Structure and Methods. BMJ Open Sport & Exercise Medicine (2024)

Melissa AndersonClaudio Cesar ClarosWei QianAustin BrockmeierThomas A Buckley

traumastatisticsintegrative data analysishealth sciencesathletic trainingconcussionproject structureinjury preventiondata sciencepersistent post-concussion deficitshuman performancesport medicinesport scienceexercise science

Mri-Based Whole-Brain Elastography and Volumetric Measurements to Predict Brain Age. Biology Methods and Protocols (2024)

Claudio Cesar Claros-OlivaresRebecca G ClementsGrace McIlvainCurtis L JohnsonAustin J Brockmeier

elastographyvolumetric measurementsneuroimagingneurosciencebrain mappingneuroscience of agingbiomedical imagingmedical imagingbrain imagingbrain agemri-based whole-brain elastography

Uncovering Key Predictive Channels and Clinical Variables in the Gamma Band Auditory Steady-State Response in Early Stage Psychosis – a Longitudinal Study. Acta Neuropsychiatrica (2024)

Kristina M. HoltonAmy HigginsAustin J. BrockmeierMei-Hua Hall

psychopathologypsychotic disordersbehavioral disordersneuropsychiatryauditory imageryneuropsychologytranslational psychiatryhearing lossauditory modelinghearing researchkey predictive channelsneuroscienceclinical variablesneurologypsychiatric researchpsychiatryearly stage psychosissoundaudiologyauditory physiologyspeech processing

Exploring the Influence of Functional Architecture on Cortical Thickness Networks in Early Psychosis – a Longitudinal Study. NeuroImage (2023)

Kristina M. HoltonShi Yu ChanAustin J. BrockmeierDost ÖngürMei-Hua Hall

brain organizationneurodevelopmental disorderscognitive architectureneurophysiologybrain imagingchild neurologyneurosciencecognitive scienceearly psychosiscentral nervous systemsystems neurosciencecortical remodelingbiological psychiatryfunctional architecturecortical thickness networksneuropsychopharmacologypsychiatrydevelopmental cognitive neuroscienceneuropsychological functioningneuroimagingcognitive neuroscience

Mechanical Property Based Brain Age Prediction Using Convolutional Neural Networks. bioRxiv (Cold Spring Harbor Laboratory) (2023)

Rebecca G. ClementsClaudio Cesar Claros-OlivaresGrace McIlvainAustin J. BrockmeierCurtis L. Johnson

engineeringmechanical sciencemachine learningneurosciencemechanical engineeringbrain age predictioncognitive neurosciencecomputational neurosciencemechanical properties

The Representation Jensen-RéNyi Divergence. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)

Jhoan Keider Hoyos OsorioOscar SkeanAustin J. BrockmeierLuis Gonzalo Sanchez Giraldo

computer scienceacoustic signal processingpattern recognitionmachine learningspeech acousticsrepresentation jensen-renyi divergencedigital signal processingspeech technologydata scienceacoustic modelingsignal processingaudiologyspeech processingaudio electroacoustics

Training a Machine Learning Model for Underwater Chemical Source Localization in Simulated Turbulent Flows. OCEANS 2022, Hampton Roads (2022)

Hau PhanMichael J. WardlawBruce KimAustin J. Brockmeier

oceanographychemical engineeringmachine learningsimulated turbulent flowsmarine engineering

Exploring Latent Networks in Resting-State Fmri Using Voxel-To-Voxel Causal Modeling Feature Selection. arXiv (Cornell University) (2021)

Hassan BakerAustin J. Brockmeier

voxel-to-voxel causalresting-state fmrimachine learningneuroimagingneurosciencelatent networkslatent modeling

Local and Sparse Linear Causal Models for Fmri Resting-State Signals. (2021)

Hassan BakerAustin J. Brockmeier

neuroimagingneurosciencecausal modelsbrain imagingfmri resting-state signalscausal inference

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Austin Brockmeier

Assistant Professor

University of Delaware

Affiliations

College of Engineering

Department of Computer and Information Sciences

Department of Electrical and Computer Engineering

Austin Brockmeier is currently serving as a College Of Engineering Assistant Professor at University of Delaware.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Austin Brockmeier

University of Delaware

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

885 Bo12 – Developing a Post-Concussion Injury Prediction Model. (2024)

Thomas BuckleyMelissa AndersonAustin BrockmeierWei Qian

traumaconcussioninjury preventionneurosciencerehabilitationorthopaedic surgery

Integrative Data Analysis to Identify Persistent Post-Concussion Deficits and Subsequent Musculoskeletal Injury Risk: Project Structure and Methods. BMJ Open Sport & Exercise Medicine (2024)

Melissa AndersonClaudio Cesar ClarosWei QianAustin BrockmeierThomas A Buckley

Mri-Based Whole-Brain Elastography and Volumetric Measurements to Predict Brain Age. Biology Methods and Protocols (2024)

Claudio Cesar Claros-OlivaresRebecca G ClementsGrace McIlvainCurtis L JohnsonAustin J Brockmeier

elastographyvolumetric measurementsneuroimagingneurosciencebrain mappingneuroscience of agingbiomedical imagingmedical imagingbrain imagingbrain agemri-based whole-brain elastography

Uncovering Key Predictive Channels and Clinical Variables in the Gamma Band Auditory Steady-State Response in Early Stage Psychosis – a Longitudinal Study. Acta Neuropsychiatrica (2024)

Kristina M. HoltonAmy HigginsAustin J. BrockmeierMei-Hua Hall

Exploring the Influence of Functional Architecture on Cortical Thickness Networks in Early Psychosis – a Longitudinal Study. NeuroImage (2023)

Kristina M. HoltonShi Yu ChanAustin J. BrockmeierDost ÖngürMei-Hua Hall

Mechanical Property Based Brain Age Prediction Using Convolutional Neural Networks. bioRxiv (Cold Spring Harbor Laboratory) (2023)

Rebecca G. ClementsClaudio Cesar Claros-OlivaresGrace McIlvainAustin J. BrockmeierCurtis L. Johnson

engineeringmechanical sciencemachine learningneurosciencemechanical engineeringbrain age predictioncognitive neurosciencecomputational neurosciencemechanical properties

The Representation Jensen-RéNyi Divergence. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)

Jhoan Keider Hoyos OsorioOscar SkeanAustin J. BrockmeierLuis Gonzalo Sanchez Giraldo

Training a Machine Learning Model for Underwater Chemical Source Localization in Simulated Turbulent Flows. OCEANS 2022, Hampton Roads (2022)

Hau PhanMichael J. WardlawBruce KimAustin J. Brockmeier

oceanographychemical engineeringmachine learningsimulated turbulent flowsmarine engineering

Exploring Latent Networks in Resting-State Fmri Using Voxel-To-Voxel Causal Modeling Feature Selection. arXiv (Cornell University) (2021)

Hassan BakerAustin J. Brockmeier

voxel-to-voxel causalresting-state fmrimachine learningneuroimagingneurosciencelatent networkslatent modeling

Local and Sparse Linear Causal Models for Fmri Resting-State Signals. (2021)

Hassan BakerAustin J. Brockmeier

neuroimagingneurosciencecausal modelsbrain imagingfmri resting-state signalscausal inference

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10 / page

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biocybernetics

signal processing

Armando Barreto

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industrial informatics

computer engineering

Fillia Makedon

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University of Texas at Arlington

computing environment

memetic computing

Hualou Liang

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neural networks

applied artificial intelligence

Malek Adjouadi

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