Faculty

Institution

Unit

Venue

Fred Beyette

Professor

University of Georgia

Affiliations

College of Engineering

School of Electrical & Computer Engineering

Fred Beyette is currently serving as a College Of Engineering Professor at University of Georgia.

Honors

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Experiences

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Education

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Fred Beyette

University of Georgia

Professor

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optoelectronics electrical engineering photonics optical engineering engineering applied physics electronics microelectronics instrumentation semiconductors biomedical engineering power electronics neuroimaging fpga design vlsi technology optical switching sensor technology filter design field programmable gate array semiconductor devices cerebrospinal fluid semiconductor technology environmental monitoring databases neuroradiology micro-electromechanical systems optical switch lightwave technology solid-state electronics eeg signal processing micro technology cerebral spinal fluid point-of-care device diagnosis respiratory medicine electronic materials precision engineering physiological measurements computer-aided diagnosis parallel processing embedded sensing intermittently connected device health technology environmental technology sensor design medical electronics emergency management clinical measurements micromachines micromechanics guided-wave optic fatigue management medical technology in-situ conversion engineering courses hands-on labs emergency department optoelectronic parallel processing signal processing system cmos photodetectors optoelectronic circuits ruptured cerebral aneurysm blood serum electroanalytical chemistry advanced manufacturing technologies healthcare value sensor applications international emergency medicine point-of-care testing biomedical technologies electronic engineering electronic circuits biomarker partitioning eccrine sweat gland bismuth electrodes zinc detection technology patient monitoring digital health

Notable Scholarly Works

Notable Federal Grants

Collaborators

AI and Predictive Modeling. (2024)

Yazan AlqudahHakki SevilNishan PanthaLauren SandersOlcay KursunMahmoud DarwichJasneet KaurM KhanRaspberry ShowdownBetween DockerLxc LxdBenjamin KidwellNilanjana RaychawdharyJesse ClaibornePaul RodriguezSambit BhattacharyaGideon PopoolaJuan CouderOmar OchoaVijay GurbaniJose PozueloChristopher BeamNicholas KakavitsasGanesh KumarCarson MonscheinMd FarhadurEric GamessRamon CardonaMfon OkpokAbdissa GezahegnAstha ThapaJustin LoganJagruti SahooJason ZhengJavier GascónDwight RichardsAntonio VelazquezAbhinandan ChowdhurySpyros AndreouHrishikesh DuttaAmit KumarYiluo DengChristopher ReidJustin BakerSuchir SantoshChristopher SchultzMunshi BasitHongbin WangYi ZouSharief BabikirGeeta SandeepJakob SkipperArup GhoshMd RahmanMamunur RashidAaron WilhiteMaohua LiuFred Beyette

human-ai interactionartificial intelligencepredictive modelingcomputational intelligencemachine learningcomputer science

Best Performance With Fewest Resources: Unveiling the Most Resource-Efficient Convolutional Neural Network for P300 Detection With the Aid of Explainable AI. Machine Learning with Applications (2024)

Maohua LiuWenchong ShiLiqiang ZhaoFred R. Beyette

convolutional neural networksbest performanceartificial intelligencedeep learningdata scienceobject detectionfewest resourcesmachine learningexplainable ai

Detection of Unfocused Eeg Epochs by the Application of Machine Learning Algorithm. Sensors (2024)

Rafia AkhterFred R. Beyette

unfocused eeg epochsmachine learning algorithmsensorseeg signal processingdata sciencemachine learning

Enhancing P300 Feature Extraction Through Multi-Scale Separable Convolution. SoutheastCon (2024)

Maohua LiuFaraz AhmadJianwei HaoMuhammad MehmoodIshfaque AhmedFred R. Beyette

feature extractionmachine learningcomputer visionmulti-scale separable convolutiondeep learningpattern recognitioncomputer science

Establishing Qualitative Inquiry to Understand Student Experiences in Online Experimentation (Work in Progress). (2024)

Andrew JacksonBeshoy MorkosFred BeyetteAmy RaglandDominik May

higher educationstudent experiencesqualitative researchqualitative inquiryeducationeducational researchonline experimentation

Fatigue Analysis in Assembly Line Workers Using Brain Computer Interface. SoutheastCon (2024)

Faraz AhmadMaohua LiuFred R. Beyette

fatigue analysishuman-computer interactioncomputational neurosciencebrain computer interfacebraincomputer interfaceneuroscience

Intricate Anomaly Detection in Time Series by Caculating Shift of Non-Gaussianity. SoutheastCon (2024)

Maohua LiuDe YangFaraz AhmadFred R. Beyette

anomaly detectiontime seriesintricate anomaly detectiondata science

Real-Time Non-Gaussianity Evaluation for Anomaly Detection in Noisy Power Grid Data Stream. (2024)

Maohua LiuFaraz AhmadIrshad AhmadFred R. Beyette

power system analysissystems engineeringdata streamsreal-time non-gaussianity evaluationanalyticselectrical engineeringanomaly detectiondata science

Switching From Hands-on Labs to Exclusively Online Experimentation in Electrical and Computer Engineering Courses. 2020 ASEE Virtual Annual Conference Content Access Proceedings (2024)

Dominik MayBeshoy MorkosAndrew JacksonFred BeyetteNathaniel HunsuJoachim WaltherAmy Ingalls

computer engineeringengineering educationhands-on labselectrical engineeringonline experimentation

Transfer Learning for P300 Speller: An Alignment Approach for Cross-Subject P300 Data. SoutheastCon (2024)

Maohua LiuFaraz AhmadFred R. Beyette

systems engineeringsequence alignmentdata miningnatural language processingdata sciencetransfer learningmachine learning

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Fred Beyette

Professor

University of Georgia

Affiliations

College of Engineering

School of Electrical & Computer Engineering

Fred Beyette is currently serving as a College Of Engineering Professor at University of Georgia.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Fred Beyette

University of Georgia

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

AI and Predictive Modeling. (2024)

human-ai interactionartificial intelligencepredictive modelingcomputational intelligencemachine learningcomputer science

Maohua LiuWenchong ShiLiqiang ZhaoFred R. Beyette

convolutional neural networksbest performanceartificial intelligencedeep learningdata scienceobject detectionfewest resourcesmachine learningexplainable ai

Detection of Unfocused Eeg Epochs by the Application of Machine Learning Algorithm. Sensors (2024)

Rafia AkhterFred R. Beyette

unfocused eeg epochsmachine learning algorithmsensorseeg signal processingdata sciencemachine learning

Enhancing P300 Feature Extraction Through Multi-Scale Separable Convolution. SoutheastCon (2024)

Maohua LiuFaraz AhmadJianwei HaoMuhammad MehmoodIshfaque AhmedFred R. Beyette

feature extractionmachine learningcomputer visionmulti-scale separable convolutiondeep learningpattern recognitioncomputer science

Establishing Qualitative Inquiry to Understand Student Experiences in Online Experimentation (Work in Progress). (2024)

Andrew JacksonBeshoy MorkosFred BeyetteAmy RaglandDominik May

higher educationstudent experiencesqualitative researchqualitative inquiryeducationeducational researchonline experimentation

Fatigue Analysis in Assembly Line Workers Using Brain Computer Interface. SoutheastCon (2024)

Faraz AhmadMaohua LiuFred R. Beyette

fatigue analysishuman-computer interactioncomputational neurosciencebrain computer interfacebraincomputer interfaceneuroscience

Intricate Anomaly Detection in Time Series by Caculating Shift of Non-Gaussianity. SoutheastCon (2024)

Maohua LiuDe YangFaraz AhmadFred R. Beyette

anomaly detectiontime seriesintricate anomaly detectiondata science

Real-Time Non-Gaussianity Evaluation for Anomaly Detection in Noisy Power Grid Data Stream. (2024)

Maohua LiuFaraz AhmadIrshad AhmadFred R. Beyette

power system analysissystems engineeringdata streamsreal-time non-gaussianity evaluationanalyticselectrical engineeringanomaly detectiondata science

Switching From Hands-on Labs to Exclusively Online Experimentation in Electrical and Computer Engineering Courses. 2020 ASEE Virtual Annual Conference Content Access Proceedings (2024)

Dominik MayBeshoy MorkosAndrew JacksonFred BeyetteNathaniel HunsuJoachim WaltherAmy Ingalls

computer engineeringengineering educationhands-on labselectrical engineeringonline experimentation

Transfer Learning for P300 Speller: An Alignment Approach for Cross-Subject P300 Data. SoutheastCon (2024)

Maohua LiuFaraz AhmadFred R. Beyette

systems engineeringsequence alignmentdata miningnatural language processingdata sciencetransfer learningmachine learning

1
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5
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10 / page

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Hamed Dalir

Institution

University of Florida

optical logic gate

photonic integrated circuit

Wilfrido Alejandro Moreno

Institution

University of South Florida

engineering

mems transducers

Volker Sorger

Institution

University of Florida

cryptographic hardware

memetic computing

Wolfgang Porod

Institution

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nanocomputing

circuit concepts

Zoya Popovic

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University of Colorado Boulder

electrical engineering

microwave technology

Mona Zaghloul

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George Washington University

electronic circuit

analog behavioral modeling

Jan Van der Spiegel

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electrical engineering

vlsi circuit

Magdy Bayoumi

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computer engineering

cognitive radio

Andreas Andreou

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electrical engineering

optoelectronics

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photonic crystal

waveform synthesis