Faculty

Institution

Unit

Venue

Krishnaprasad Thirunarayan

Professor of Computer Science and Engineering

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

Krishnaprasad Thirunarayan is currently serving as a College Of Engineering And Computer Science Professor of Computer Science and Engineering at Wright State University.

Honors

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Experiences

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Education

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Krishnaprasad Thirunarayan

Wright State University

Professor of Computer Science and Engineering

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computer science data science machine learning natural language processing communication social media information retrieval behavioral sciences informatics semantic web mass communication knowledge discovery information technology knowledge representation and reasoning mental health online information knowledge management computational intelligence health technology social medium data ontology (information science) biomedical informatics social medium mining respiratory medicine mobile computing social medium monitoring social medium intelligence news analytics medical internet research digital mediums biomedical text mining computational semantics information extraction web semantics knowledge-based systems scholarly communication suicide trust management ai healthcare data retrieval machine vision addictive behaviors substance use sensor technology data stream mining biomedical data science bibliometrics classification method health data child health linked data ontology research machine perception unsupervised machine learning massive data processing web intelligence automatic summarization news semantics semantic predications asthma management personalized health actionable insights harassment research twitter users biomedical literature clinical notes suicide risk social intelligence sensor applications automatic emotion identification early intervention knowledge-aware assessment social media platforms social streams city traffic events identifying personal communication

Notable Scholarly Works

Notable Federal Grants

Collaborators

HYPERCELL: Advancing Cell Type Classification With Hyperdimensional Computing. (2024)

Hossein MohammadiMaziyar BaranpouyanKrishnaprasad ThirunarayanLingwei Chen

computational biologyhyperdimensional computingcomputer science

Personalized Bayesian Inference for Explainable Healthcare Management and Intervention. 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024)

Utkarshani JaiminiKrishnaprasad ThirunarayanManinder KalraRobin DawsonAmit Sheth

personalized medicinebayesian inferencepersonalized treatmentsbayesian hierarchical modelinghealthcare big datahealth informaticsbayesian analysismachine learning researchexplainable healthcare managementcausal inferencebiostatisticsdata sciencemachine learningindividualized medicinehealth care management

CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index. Sensors (2023)

Hossein MohammadiKrishnaprasad ThirunarayanLingwei Chen

cognitive scienceintelligent sensor systemsinterpretabilitycomputer vision

Enhancing Rare Cell Type Identification in Single-Cell Data: An Innovative Gene Filtering Approach Using Bipartite Cell-Gene Relation Graph. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (2023)

Maziyar BaranpouyanHossein MohammadiHojjat Torabi GoudarziKrishnaprasad ThirunarayanLingwei Chen

bioinformaticscell biologysingle-cell data

K-Perm: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. arXiv (Cornell University) (2023)

Raj, KanakRoy, KaushikGaur, Manas

persona-adaptive queriesdynamic knowledge retrievalmachine learningcommunication

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients Admitted With Heart Failure. (2023)

Ankita AgarwalTanvi BanerjeeWilliam L. RomineKrishnaprasad ThirunarayanLingwei ChenMia Cajita

biomedical informaticsclinical evidencehealth informaticsbiomedical text mininghospital medicinemachine learningbiostatisticsdata scienceheart failureclinical case presentationlife predictionclinical presentationclinical notessurvival analysisbiomedical analysisstatistics

Contributors. Elsevier eBooks (2022)

Ron AltermanJeffrey E. ArleKerry BradleySergio CanaveroSteven M. FalowskiChad W. FarleyYakov GologorskyJianwen Wendy GuH. Louis JournéeJohn KastOlga KhazenJoachim K. KraussVignessh KumarMark LentRobert M. LevyAndres M. LozanoCharles MackelGeorge T. MandyburBryan L. McLaughlinDaniel R. MerrillAlon Y. MogilnerGabi MolnarGuillermo A. MonsalveRichard B. NorthYunseo Linda ParkJohn ParkerShrey PatelJulie G. PilitsisFrancisco A. PonceJason E. PopeAdolfo Ramirez-ZamoraLouis J. RasoJoshua M. RosenowJay L. ShilsPeter SingleKonstantin V. SlavinMichael D. StaudtMark M. SteckerHuy Q. Truong

Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study. JMIR Public Health and Surveillance (2022)

Usha LokalaFrancois LamyRaminta DaniulaityteManas GaurAmelie GyrardKrishnaprasad ThirunarayanUgur KursuncuAmit Sheth

ontology development studydrug abuse ontologyweb-based dataontology (information science)data miningdata sciencepublic healthepidemiology

Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. 2022 26th International Conference on Pattern Recognition (ICPR) (2022)

Amanuel AlamboTanvi BanerjeeKrishnaprasad ThirunarayanMichael Raymer

pattern recognitionbiomedical informaticscomputational intelligenceknowledge representation and reasoningbiomedical text miningnatural language processingcomputer scienceautomatic summarizationmachine learningbibliometricsdata scienceinformation extractionknowledge managementinformation retrievalknowledge discoverybiomedical literature

Improving the Factual Accuracy of Abstractive Clinical Text Summarization Using Multi-Objective Optimization. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022)

Amanuel AlamboTanvi BanerjeeKrishnaprasad ThirunarayanMia Cajita

medicinefactual accuracynatural language processingmachine learningbiomedical engineeringmulti-objective optimization

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Krishnaprasad Thirunarayan

Professor of Computer Science and Engineering

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

Krishnaprasad Thirunarayan is currently serving as a College Of Engineering And Computer Science Professor of Computer Science and Engineering at Wright State 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

Krishnaprasad Thirunarayan

Wright State University

Professor of Computer Science and Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

HYPERCELL: Advancing Cell Type Classification With Hyperdimensional Computing. (2024)

Hossein MohammadiMaziyar BaranpouyanKrishnaprasad ThirunarayanLingwei Chen

computational biologyhyperdimensional computingcomputer science

Personalized Bayesian Inference for Explainable Healthcare Management and Intervention. 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024)

Utkarshani JaiminiKrishnaprasad ThirunarayanManinder KalraRobin DawsonAmit Sheth

CVII: Enhancing Interpretability in Intelligent Sensor Systems via Computer Vision Interpretability Index. Sensors (2023)

Hossein MohammadiKrishnaprasad ThirunarayanLingwei Chen

cognitive scienceintelligent sensor systemsinterpretabilitycomputer vision

Maziyar BaranpouyanHossein MohammadiHojjat Torabi GoudarziKrishnaprasad ThirunarayanLingwei Chen

bioinformaticscell biologysingle-cell data

K-Perm: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. arXiv (Cornell University) (2023)

Raj, KanakRoy, KaushikGaur, Manas

persona-adaptive queriesdynamic knowledge retrievalmachine learningcommunication

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients Admitted With Heart Failure. (2023)

Ankita AgarwalTanvi BanerjeeWilliam L. RomineKrishnaprasad ThirunarayanLingwei ChenMia Cajita

Contributors. Elsevier eBooks (2022)

Drug Abuse Ontology to Harness Web-Based Data for Substance Use Epidemiology Research: Ontology Development Study. JMIR Public Health and Surveillance (2022)

Usha LokalaFrancois LamyRaminta DaniulaityteManas GaurAmelie GyrardKrishnaprasad ThirunarayanUgur KursuncuAmit Sheth

ontology development studydrug abuse ontologyweb-based dataontology (information science)data miningdata sciencepublic healthepidemiology

Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. 2022 26th International Conference on Pattern Recognition (ICPR) (2022)

Amanuel AlamboTanvi BanerjeeKrishnaprasad ThirunarayanMichael Raymer

Amanuel AlamboTanvi BanerjeeKrishnaprasad ThirunarayanMia Cajita

medicinefactual accuracynatural language processingmachine learningbiomedical engineeringmulti-objective optimization

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Virginia Tech

library hi tech

research library

Naren Ramakrishnan

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Virginia Tech

applied artificial intelligence

multidisciplinary ai

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Rice University

medical expert system

machine learning algorithms

Kai Shu

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ai adoption

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multidisciplinary ai

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