Faculty

Institution

Unit

Venue

Vasant Honavar

Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

Vasant Honavar is currently serving as a Computer Science And Engineering Professor at Pennsylvania 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

Vasant Honavar

Pennsylvania State University

Professor

You can click a keyword to filter the displayed items

machine learning computer science artificial intelligence data science bioinformatics molecular biology natural language processing informatics systems engineering computational intelligence ontology (information science) semantic web data mining knowledge discovery information technology classification method structural biology computational biology protein science decision science protein bioinformatics protein structure prediction structural bioinformatics rna biology ontology engineering classifier systems machine learning research intelligent computing learning classifier system qualitative preferences scientific computing databases supervised learning modular ontologies feature selection support vector machines incremental learning computational learning theory data classification attribute value taxonomies web service modeling agent-based models decision tree learning distributed learning intrusion detection web service composition unsupervised learning automated reasoning machine vision biomedical informatics network security adversarial machine learning routing protocols network routing algorithm network routing abstraction (computer science) amino acid sequence sequence classification iterative reformulation constructive neural network protein sequences connectionist networks evolutionary computation logic in computer science interface science genetic algorithms rna structure prediction computational genomics service discovery information extraction description logics connectionism linear b-cell epitopes rna-binding sites protein-protein interface residues neural networks data integration knowledge representation and reasoning health informatics materials informatics brain informatics biomedical ontologies biomedical data integration

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Learning Within Tabular Data: Foundations, Challenges, Advances and Future Directions. arXiv (Cornell University) (2025)

Ren, WeijieyingZhao, TianxiangHuang, YuqingHonavar, Vasant

deep learningmachine learningdata sciencefuture directionstabular data

Abstract Po2-09-06: Interaction of Racial Disparities on Outcomes and Toxicities Associated With Treatment of Her2+Breast Cancer- a Trinetx Database Study. Cancer Research (2024)

Monali VasekarJustin PetucciAvnish KatochVasant Honavar

outcomes researchsurgical oncologyclinical researchgynecologic oncologycancer biologycancer researchpharmacologycancer treatmentbreast cancerbreast oncologyracial disparitiesoncologycancer carecancer managementcancer imaginghealth sciencesnovel data sourcetrinetx database studyradiation oncologymedicinal research

Can Machine Learning Predict Late Seizures After Intracerebral Hemorrhages? Evidence From Real-World Data. Epilepsy & Behavior (2024)

Alain LekoubouJustin PetucciTemitope Femi AjalaAvnish KatochJinpyo HongSouvik SenLeonardo BonilhaVernon M ChinchilliVasant Honavar

neuroinformaticsneurologyintracerebral hemorrhagesearly diagnosismachine learningneuroimagingpredictive learningneuroscienceneurological disorderscomputer-aided diagnosisepilepsybehavioral sciencespredict late seizures

Corrigendum to “Performance of an Open Machine Learning Model to Classify Sleep/Wake From Actigraphy Across ∼24-Hour Intervals Without Knowledge of Rest Timing” [Sleep Health 9 (2023) 596-610]. Sleep Health (2024)

Daniel M. RobertsMargeaux M. SchadeLindsay MasterVasant G. HonavarNicole G. NahmodAnne-Marie ChangDaniel GartenbergOrfeu M. Buxton

rest timinghealth sciencessleep medicinemachine learningsleep

ESACL: An Efficient Continual Learning Algorithm. Society for Industrial and Applied Mathematics eBooks (2024)

Weijieying RenVasant G Honavar

machine learningcomputer scienceengineeringapplied mathematics

GEOMCLIP: Contrastive Geometry-Text Pre-Training for Molecules. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024)

Teng XiaoChao CuiHuaisheng ZhuVasant G. Honavar

deep learningmolecular graphicsmachine learningcomputational biologybioinformaticsmolecular informaticsmolecular structurebiomolecular engineeringmachine learning researchmolecular modellinggeometric learningbiomedical text miningmolecular computingtext recognitionmolecular biologymolecular sciencesystems biologycontrastive geometry-text pre-trainingbiomedical informatics

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Junjie LiangWeijieying RenHanifi SaharVasant Honavar

deep learningcomputer sciencecomputational intelligencepattern recognitiongaussian analysismachine learningintelligent computinglongitudinal datacognitive sciencedata sciencepsychometricsmachine intelligencemachine visionartificial intelligencemachine learning researchsupervised learningkernel methods

Large Datasets From Electronic Health Records Predict Seizures After Ischemic Strokes: A Machine Learning Approach.. medRxiv (Cold Spring Harbor Laboratory) (2024)

Alain LekoubouJustin PetucciTemitope Femi AjalaAvnish KatochSouvik SenVasant Honavar

neurologydeep learninglarge-scale datasetsischemic strokeshealth sciencesmachine learningstrokedata sciencelarge datasetsbenchmark datasetsepilepsy

Real World Study of Racial Disparities Associated With Toxicities of Sacituzumab Govitecan.. Journal of Clinical Oncology (2024)

Shista PriyadarshiniJustin PetucciAvnish KatochVasant HonavarMonali K. Vasekar

pharmacologytoxicologyreal world studyracial disparitiessacituzumab govitecanoncologyradiation oncologypublic healthcancer care

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. IEEE Journal of Biomedical and Health Informatics (2023)

Amogh Subbakrishna AdisheshaLily JakielaszekFariha AzharPeixuan ZhangVasant HonavarFenglong MaChandra BelaniPrasenjit MitraSharon Xiaolei Huang

knowledge managementtopic modelshealth informaticsuser interestsonline health communitiescommunicationmass communicationnatural language processingknowledge discoverydata scienceinformaticsforecastingtopic tag predictionssocial sciencesbiomedical informatics

1
2
3
4
5
38
10 / page

Vasant Honavar

Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

Vasant Honavar is currently serving as a Computer Science And Engineering Professor at Pennsylvania 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

Vasant Honavar

Pennsylvania State University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Learning Within Tabular Data: Foundations, Challenges, Advances and Future Directions. arXiv (Cornell University) (2025)

Ren, WeijieyingZhao, TianxiangHuang, YuqingHonavar, Vasant

deep learningmachine learningdata sciencefuture directionstabular data

Abstract Po2-09-06: Interaction of Racial Disparities on Outcomes and Toxicities Associated With Treatment of Her2+Breast Cancer- a Trinetx Database Study. Cancer Research (2024)

Monali VasekarJustin PetucciAvnish KatochVasant Honavar

Can Machine Learning Predict Late Seizures After Intracerebral Hemorrhages? Evidence From Real-World Data. Epilepsy & Behavior (2024)

Alain LekoubouJustin PetucciTemitope Femi AjalaAvnish KatochJinpyo HongSouvik SenLeonardo BonilhaVernon M ChinchilliVasant Honavar

Daniel M. RobertsMargeaux M. SchadeLindsay MasterVasant G. HonavarNicole G. NahmodAnne-Marie ChangDaniel GartenbergOrfeu M. Buxton

rest timinghealth sciencessleep medicinemachine learningsleep

ESACL: An Efficient Continual Learning Algorithm. Society for Industrial and Applied Mathematics eBooks (2024)

Weijieying RenVasant G Honavar

machine learningcomputer scienceengineeringapplied mathematics

GEOMCLIP: Contrastive Geometry-Text Pre-Training for Molecules. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024)

Teng XiaoChao CuiHuaisheng ZhuVasant G. Honavar

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Junjie LiangWeijieying RenHanifi SaharVasant Honavar

Large Datasets From Electronic Health Records Predict Seizures After Ischemic Strokes: A Machine Learning Approach.. medRxiv (Cold Spring Harbor Laboratory) (2024)

Alain LekoubouJustin PetucciTemitope Femi AjalaAvnish KatochSouvik SenVasant Honavar

neurologydeep learninglarge-scale datasetsischemic strokeshealth sciencesmachine learningstrokedata sciencelarge datasetsbenchmark datasetsepilepsy

Real World Study of Racial Disparities Associated With Toxicities of Sacituzumab Govitecan.. Journal of Clinical Oncology (2024)

Shista PriyadarshiniJustin PetucciAvnish KatochVasant HonavarMonali K. Vasekar

pharmacologytoxicologyreal world studyracial disparitiessacituzumab govitecanoncologyradiation oncologypublic healthcancer care

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. IEEE Journal of Biomedical and Health Informatics (2023)

Amogh Subbakrishna AdisheshaLily JakielaszekFariha AzharPeixuan ZhangVasant HonavarFenglong MaChandra BelaniPrasenjit MitraSharon Xiaolei Huang

1
2
3
4
5
38
10 / page

Similar Faculty Members

Xiangliang Lynn Zhang

Institution

University of Notre Dame

evolutionary data mining

optimization-based data mining

Sun-Yuan Kung

Institution

Princeton University

computer science

machine learning

Cornelia Caragea

Institution

University of Illinois Chicago

language resource

multidisciplinary ai

Wei Wang

Institution

University of California, Los Angeles

big data

biomedical informatics

Yanqing Zhang

Institution

Georgia State University

computer science

machine learning

Doina Caragea

Institution

Kansas State University

biomedical informatics

text analytics

Victor S. Sheng

Institution

Texas Tech University

machine learning

computer science

Aidong Zhang

Institution

University of Virginia

data mining

machine learning

Zoran Obradovic

Institution

Temple University

big data acquisition

big data

Vladik Kreinovich

Institution

University of Texas at El Paso

computer science

applied mathematics

Similar Faculty Members

Xiangliang Lynn Zhang

Institution

University of Notre Dame

evolutionary data mining

optimization-based data mining

Sun-Yuan Kung

Institution

Princeton University

computer science

machine learning

Cornelia Caragea

Institution

University of Illinois Chicago

language resource

multidisciplinary ai

Wei Wang

Institution

University of California, Los Angeles

big data

biomedical informatics

Yanqing Zhang

Institution

Georgia State University

computer science

machine learning

Doina Caragea

Institution

Kansas State University

biomedical informatics

text analytics

Victor S. Sheng

Institution

Texas Tech University

machine learning

computer science

Aidong Zhang

Institution

University of Virginia

data mining

machine learning

Zoran Obradovic

Institution

Temple University

big data acquisition

big data

Vladik Kreinovich

Institution

University of Texas at El Paso

computer science

applied mathematics