Faculty

Institution

Unit

Venue

R H Campbell

ABBASI PROF EMERITUS

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

R H Campbell is currently serving as a Siebel School Of Computing And Data Science ABBASI PROF EMERITUS at Uiuc.

Honors

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Experiences

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Education

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R H Campbell

UIUC

ABBASI PROF EMERITUS

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computer science distributed systems systems engineering system software computer engineering scalability operating systems computer security information security software engineering data security ubiquitous computing mobile computing software analysis communication security networked system design parallel computing data science software design service computing system safety cluster computing programming languages pervasive computing parallel programming data privacy human-computer interaction context-aware pervasive system high performance computer architecture pervasive environment ubiquitous application network security intelligent user interfaces operating system security map-reduce system programming distributed middleware object-oriented design adaptive middleware secure computing massive data processing file systems mobile security cloud computing security middleware system context management scalable computing access control object-oriented programming concurrency (computer science) fault tolerance distributed file systems component-based software engineering mobile devices data-intensive computing context awareness component system object-oriented modeling real-time computer graphics automated software engineering context model active spaces automatic configuration active space pervasive computing environment physical spaces active networks alert preferences design patterns class hierarchy object-oriented system physical space saga project path expressions intel cat architecture neural networks federated learning cloud computing automated machine learning computational intelligence intelligent computing informatics machine learning big data advanced intelligent system neural network (machine learning)

Notable Scholarly Works

Notable Federal Grants

Collaborators

Dual Modal Photoacoustic/Ultrasound Localization (Paul) Imaging for Monitoring Blood Brain Barrier Disruption (Conference Presentation). (2025)

Shensheng ZhaoSayantani BasuJi ShiKewei SongSiripun PunYang ZhaoHuynh HuanRoy H. CampbellYun-Sheng Chen

computational imagingconference presentationadvanced imagingmedical ultrasoundbiomedical imagingmedical imagingbiomedical engineeringradiologybiophotonicsoptical imagingultrasound

Abstract 4164: Hybrid Photoacoustic Imaging and Fast Ultrasound Localization Microscopy to Probe the Tumor Microenvironment. Cancer Research (2024)

Shensheng ZhaoSayantani BasuRoy H. CampbellYang ZhaoYun-Sheng Chen

tumor growthcomputational imagingabstract 4164cancer imagingtissue imagingbiological imagingtumor hypoxiaadvanced imagingmedical image computingmedical ultrasoundbiomedical imagingmedical imagingdiagnostic imagingradiologyfunctional imagingbiomedical engineeringultrasound

An Unsupervised Framework for Comparing Sars-Cov-2 Protein Sequences Using Llms. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Sayantani B. LittlefieldRoy H. Campbell

computational biologybioinformaticssequence modellingmolecular informaticslarge language modelsprotein bioinformaticsviral structural proteininfluenzasurface glycoprotein sequenceslanguage modelsinfectious diseasesmedical virologysiamese neural networknatural language processingcovid-19virus researchimmunologysars-cov-2general virologybiomedical informatics

Prediction, Prognosis and Monitoring of Neurodegeneration at Biobank-Scale via Machine Learning and Imaging. medRxiv (Cold Spring Harbor Laboratory) (2024)

Anant DaduMichael TaNicholas J TustisonAli DaneshmandKen MarekAndrew B SingletonRoy H CampbellMike A NallsHirotaka IwakiBrian AvantsFaraz Faghri

machine learningpatient stratificationbrain imagingneurodegenerative diseasesalzheimer's diseaseneuroradiologyparkinson's diseaseneurosciencemedical image computingmolecular neurodegenerationdementiamachine learning researchneuroimaging biomarkersquantitative markerneurologygeriatric neurologyneuroimagingneuroscience of agingbiomedical informatics

Welcome From the Technical Program Chairs. IEEE International Conference on Pervasive Computing and Communications (2024)

Toby CumberbatchJohn Gershenson

computer sciencecomputing educationphilosophy of computer sciencehuman-computer interactiontechnical program chairs

Whole-Brain Functional Photoacoustic/Ultrasound Localization (Paul) Imaging for Monitoring Blood-Brain Barrier Modulation. Research Square (2024)

Yun-Sheng ChenShensheng ZhaoSayantani BasuJi ShiKewei SongPun SiripunHuan HuynhYang ZhaoRoy Campbell

blood flow dynamicsneurologydeep learningtissue imagingneuroradiologybiological imagingblood flowneuroimagingadvanced imagingcerebral blood flowbiomedical imagingmedical imagingtranslational imagingradiologyfunctional imagingbiomedical engineeringultrasound

Application of Aligned-Umap to Longitudinal Biomedical Studies. Patterns (2023)

Anant DaduVipul K. SatoneRachneet KaurMathew J. KoretskyHirotaka IwakiYue A. QiDaniel M. RamosBrian AvantsJacob HestermanRoger GunnMark R. CooksonMichael E. WardAndrew B. SingletonRoy H. CampbellMike A. NallsFaraz Faghri

scientific datainformation visualizationbiostatisticsbiomedical data analysisdata sciencebiomedical data integrationuniform manifold approximationdata and information visualizationunderlying data structureexciting patternsvisualizationbiomedical data sciencebiomedical analysisbiomedical informatics

Detection of Novel Covid-19 Variants With Zero-Shot Learning. 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2023)

Sayantani BasuRoy H. CampbellKarrie Karahalios

deep learningbioinformaticsnew variantsbiostatisticsmachine learningcomputational biologyzero-shot learningsiamese neural networkmolecular informaticsdata sciencebiomedical data sciencefew-shot learninggenome biologymachine learning researchmolecular diagnosticsneural network (machine learning)biomedical informatics

A Deep Learning Approach to Identify Seizure-Prone and Normal Patients From Their Eeg Records. medRxiv (Cold Spring Harbor Laboratory) (2022)

Sayantani BasuRoy H. Campbell

neuroinformaticsdeep learningeeg recordmachine learningneurosciencedata sciencemachine learning researchrecurrent neural networkslstm modeleeg signal processingneural network (machine learning)deep learning approach

Classifying Covid-19 Variants Based on Genetic Sequences Using Deep Learning Models. Springer series in reliability engineering (2022)

Sayantani BasuRoy H. Campbell

deep learningcomputer sciencebioinformaticsmachine learningnatural language processingsequence modellingdata sciencemulti-class classifier modelcorona virus diseasevector sizemachine learning researchneural network (machine learning)machine learning modelsbiomedical informatics

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R H Campbell

ABBASI PROF EMERITUS

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

R H Campbell is currently serving as a Siebel School Of Computing And Data Science ABBASI PROF EMERITUS 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

R H Campbell

UIUC

ABBASI PROF EMERITUS

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Dual Modal Photoacoustic/Ultrasound Localization (Paul) Imaging for Monitoring Blood Brain Barrier Disruption (Conference Presentation). (2025)

Shensheng ZhaoSayantani BasuJi ShiKewei SongSiripun PunYang ZhaoHuynh HuanRoy H. CampbellYun-Sheng Chen

computational imagingconference presentationadvanced imagingmedical ultrasoundbiomedical imagingmedical imagingbiomedical engineeringradiologybiophotonicsoptical imagingultrasound

Abstract 4164: Hybrid Photoacoustic Imaging and Fast Ultrasound Localization Microscopy to Probe the Tumor Microenvironment. Cancer Research (2024)

Shensheng ZhaoSayantani BasuRoy H. CampbellYang ZhaoYun-Sheng Chen

An Unsupervised Framework for Comparing Sars-Cov-2 Protein Sequences Using Llms. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Sayantani B. LittlefieldRoy H. Campbell

Prediction, Prognosis and Monitoring of Neurodegeneration at Biobank-Scale via Machine Learning and Imaging. medRxiv (Cold Spring Harbor Laboratory) (2024)

Anant DaduMichael TaNicholas J TustisonAli DaneshmandKen MarekAndrew B SingletonRoy H CampbellMike A NallsHirotaka IwakiBrian AvantsFaraz Faghri

Welcome From the Technical Program Chairs. IEEE International Conference on Pervasive Computing and Communications (2024)

Toby CumberbatchJohn Gershenson

computer sciencecomputing educationphilosophy of computer sciencehuman-computer interactiontechnical program chairs

Whole-Brain Functional Photoacoustic/Ultrasound Localization (Paul) Imaging for Monitoring Blood-Brain Barrier Modulation. Research Square (2024)

Yun-Sheng ChenShensheng ZhaoSayantani BasuJi ShiKewei SongPun SiripunHuan HuynhYang ZhaoRoy Campbell

Application of Aligned-Umap to Longitudinal Biomedical Studies. Patterns (2023)

Detection of Novel Covid-19 Variants With Zero-Shot Learning. 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2023)

Sayantani BasuRoy H. CampbellKarrie Karahalios

A Deep Learning Approach to Identify Seizure-Prone and Normal Patients From Their Eeg Records. medRxiv (Cold Spring Harbor Laboratory) (2022)

Sayantani BasuRoy H. Campbell

Classifying Covid-19 Variants Based on Genetic Sequences Using Deep Learning Models. Springer series in reliability engineering (2022)

Sayantani BasuRoy H. Campbell

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