Faculty

Institution

Unit

Venue

Tanvi Banerjee

Associate Professor

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

Tanvi Banerjee is currently serving as a College Of Engineering And Computer Science Associate Professor at Wright State University.

Honors

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Experiences

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Education

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Tanvi Banerjee

Wright State University

Associate Professor

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machine learning health sciences public health data science wearable technology health technology social media computer vision sickle cell disease digital health communication health informatics pattern recognition health monitoring sensors online information ehealth respiratory medicine sensor technology ai healthcare scholarly communication knowledge discovery physiological measurements computational intelligence biomedical informatics machine vision fuzzy clustering smart health fuzzy clustering techniques medical internet research educational psychology activity recognition sensor health patient monitoring social medium data internet science topic models wearable sensors depth images caregiver assessment information technology knowledge management fuzzy logic emerging infectious diseases sensor design mobile health news analytics fall prevention monitoring technology smart sensors sensor arrays biomedical technologies covid-19 pandemic social medium mining biomedical text mining science education asthma management feasibility study personalized health hospital rooms older adults clinical notes sleep quality vital signs knowledge-based systems cyber conflict digital mediums activism disease transmission disease surveillance rumor spreading video understanding ieee transactions exploratory study vital signals iot quality control dementia technology health policy

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Chest X-Ray Diagnostics via Multi-Modal Neural Networks With Attention. (2024)

Douglas TownsellTanvi BanerjeeLingwei ChenMichael Raymer

radiologyattentionmedical imagingdiagnostic imagingchest x-ray diagnosticsmulti-modal neural networksmachine learning

Debias-Clr: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Ankita AgarwalTanvi BanerjeeWilliam L. RomineMia Cajita

algorithmic biashealthcare applicationsbiasalgorithmic fairnessdata sciencecontrastive learning

Extraction of Patients Subpopulations With Psychiatric Symptoms Using a Transformer Architecture. (2024)

Benjamin HolmesMichael RaymerTanvi Banerjee

psychiatric symptomspsychiatric disordersmental healthpatients subpopulationsdiagnosistransformer architecturepsychiatryclinical psychiatrypsychiatric care

Extraction of Patient Subpopulations Using Transformer-Encoded Vectors. (2024)

Benjamin HolmesMichael RaymerTanvi Banerjee

deep learningdigital medicinepatient subpopulationshealth informaticsimage analysiscomputational medicinemachine learningmedical systemsmedical imagingbiostatisticsmedical image computingmachine visionpatient tracking systemmedical image analysisbiomedical informaticsbiomedical engineeringdisease mappingtransformer-encoded vectorsvector processingcomputer science

Measuring Skin Temperature as an Indicator for Cognitive Flow Using a Wrist-Worn Wearable. (2024)

William RomineTanvi BanerjeeNoah Schroeder

cognitive flowwearable technologyskin temperaturewrist-worn wearablehealth sciences

Accelerating Additive Manufacturing Process Design for Energy Conversion Materials Using In-Situ Sensing and Machine Learning. (2023)

Joy GockelTanvi BanerjeeSaniya LeBlancJoe WalkerJohn Middendorf

additive manufacturingenergy conversionenergy conversion materialsmanufacturingin-situ sensingengineering

A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students. Sensors (2023)

Josephine GraftWilliam RomineBrooklynn WattsNoah SchroederTawsik JawadTanvi Banerjee

sensor technologypreliminary studywearable technologyelectrophysiologysensor arrayssmart sensorsintermittently connected devicewrist-worn multiparameter sensorcognitive flow statessensor designsensorseducational psychologyuniversity-level studentscognitive scienceoptoelectronicsneuroscienceinstrumentationbehavioral sciences

Dynamic Topic Modeling to Mine Themes and Evolution During the Initial Covid-19 Vaccine Rollout. Health Behavior and Policy Review (2023)

Amkita AgarwalEmily BurwellWilliam RomineTanvi Banerjee

public healthhealth communicationpolicy developmenthealth planningcovid-19scholarly communicationcovid-19 pandemicpublic policysocial mediahealth educationtopic modelsevolutionary dynamicsonline informationbehavior change (public health)health policy

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

clinical presentationheart failurebiomedical informaticshospital medicineclinical case presentationclinical evidencesurvival analysishealth informaticsbiomedical text miningbiostatisticsstatisticsbiomedical analysisdata scienceclinical notesmachine learninglife prediction

Pain Forecasting Using Self-Supervised Learning and Patient Phenotyping: An Attempt to Prevent Opioid Addiction. arXiv (Cornell University) (2023)

Padhee, SwatiBanerjee, TanviAbrams, Daniel M.Shah, Nirmish

public healthpharmacologyopioid addictionpatient phenotypingdeep learningaddictionself-supervised learningmachine learninghealth sciences

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Tanvi Banerjee

Associate Professor

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

Tanvi Banerjee is currently serving as a College Of Engineering And Computer Science Associate Professor 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

Tanvi Banerjee

Wright State University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Chest X-Ray Diagnostics via Multi-Modal Neural Networks With Attention. (2024)

Douglas TownsellTanvi BanerjeeLingwei ChenMichael Raymer

radiologyattentionmedical imagingdiagnostic imagingchest x-ray diagnosticsmulti-modal neural networksmachine learning

Debias-Clr: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Ankita AgarwalTanvi BanerjeeWilliam L. RomineMia Cajita

algorithmic biashealthcare applicationsbiasalgorithmic fairnessdata sciencecontrastive learning

Extraction of Patients Subpopulations With Psychiatric Symptoms Using a Transformer Architecture. (2024)

Benjamin HolmesMichael RaymerTanvi Banerjee

psychiatric symptomspsychiatric disordersmental healthpatients subpopulationsdiagnosistransformer architecturepsychiatryclinical psychiatrypsychiatric care

Extraction of Patient Subpopulations Using Transformer-Encoded Vectors. (2024)

Benjamin HolmesMichael RaymerTanvi Banerjee

Measuring Skin Temperature as an Indicator for Cognitive Flow Using a Wrist-Worn Wearable. (2024)

William RomineTanvi BanerjeeNoah Schroeder

cognitive flowwearable technologyskin temperaturewrist-worn wearablehealth sciences

Accelerating Additive Manufacturing Process Design for Energy Conversion Materials Using In-Situ Sensing and Machine Learning. (2023)

Joy GockelTanvi BanerjeeSaniya LeBlancJoe WalkerJohn Middendorf

additive manufacturingenergy conversionenergy conversion materialsmanufacturingin-situ sensingengineering

A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students. Sensors (2023)

Josephine GraftWilliam RomineBrooklynn WattsNoah SchroederTawsik JawadTanvi Banerjee

Dynamic Topic Modeling to Mine Themes and Evolution During the Initial Covid-19 Vaccine Rollout. Health Behavior and Policy Review (2023)

Amkita AgarwalEmily BurwellWilliam RomineTanvi Banerjee

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

Pain Forecasting Using Self-Supervised Learning and Patient Phenotyping: An Attempt to Prevent Opioid Addiction. arXiv (Cornell University) (2023)

Padhee, SwatiBanerjee, TanviAbrams, Daniel M.Shah, Nirmish

public healthpharmacologyopioid addictionpatient phenotypingdeep learningaddictionself-supervised learningmachine learninghealth sciences

1
2
3
4
5
10
10 / page

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Similar Faculty Members

Krishnaprasad Thirunarayan

Institution

Wright State University

computer science

data science

Bobak Mortazavi

Institution

Texas A&M University

machine learning

health sciences

Marjorie Skubic

Institution

University of Missouri

rehabilitation

geriatrics

Zhijun Yin

Institution

Vanderbilt University

multidisciplinary ai

data science

Nabil Alshurafa

Institution

Northwestern University

wearable technology

health sciences

Iqbal Ahamed

Institution

Marquette University

information security

pervasive computing

Mihail Popescu

Institution

University of Missouri

pattern recognition

medical epidemiology

Peter Washington

Institution

University of Hawaii at Manoa

applied artificial intelligence

ai healthcare

Amir Rahmani

Institution

University of California, Irvine

systems engineering

health sciences

Shwetak N. Patel

Institution

University of Washington

embedded system

pervasive computing