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Dave, Rushit

Minnesota State University--Mankato

Affiliations

College of Graduate Studies and Research

Rushit Dave is a Senior Professor at Minnesota State University–Mankato. His research focuses on machine learning, deep learning, and neural networks, with specific applications in computer and information security, pattern recognition, and data science. His recent work explores adaptive traffic signal control using deep reinforcement learning and V2I communication, comparative ML models for glioblastoma survival prediction, and machine learning for detecting harmful online behavior. He has also investigated continuous authentication using novel datasets and AI-based home security systems)Skip the intro.

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Dave, Rushit

Minnesota State University--Mankato

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computer science machine learning data science machine learning research computer security pattern recognition information security neural network (machine learning) deep learning biometrics data security computational intelligence identity-based security authentication access control convolutional neural networks intelligent computing mobile computing authentication protocol ubiquitous computing soft biometrics technology systems engineering communication security image representation usable privacy data privacy multi-factor authentication deepfakes soft computing affective computing iot data analytics authentication authorization vehicular technology health technology biomedical informatics feature learning iot security iot system activity recognition recurrent neural networks automotive security emotion recognition biometric authentication continuous user authentication deep learning approaches machine vision multimedia modeling hospital environment iot forensics iot challenge threat detection mobile security cloud computing security video interpretation human monitoring mobile sensing facial expression recognition embedded machine learning smart computing pattern recognition application information extraction biomedical text mining named-entity recognition healthcare environment deep learning techniques deep learning applications mouse dynamics traditional machine learning aging machine learning iot cybersecurity methods modern analysis cloud platform palm print authentication close look machine learning algorithms autonomous cars

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparative Analysis of ML Models for Survival Prediction of Glioblastoma. Journal of Computer and Communications (2026)

biostatisticsstatistical methodologypredictive analyticsbiomedical informaticsprognostic evaluationprognosisgliomasbrain tumor researchstatisticsdisease classificationmodel selectioncomparative analysisprediction modellingsurvival analysisoncologyneuro-oncology

Smarter Intersections: A Deep Reinforcement Learning Approach to Adaptive Traffic Signal Control Using V2I Communication. (2026)

computer sciencesystems engineeringintelligent vehiclestraffic signal controldeep reinforcement learningreinforcement learning

Comparative Research in Sentiment Analysis Using Machine Learning Technique. Journal of Data Analysis and Information Processing (2025)

content analysislinguisticsmultimodal sentiment analysiscomparative methodologysemantic evaluationcomparative researchmachine learning researchcomputational intelligencedata scienceaffective computingnatural language processingtext miningintelligent classification

Decoding Sentiment: How Machine Learning Maps Emotions Across Domains. International Journal of Computer Applications (2025)

affective computingemotion recognitionmultimodal sentiment analysisaffective neuroscienceemotionssemantic evaluationmachine learning researchcomputational intelligencedata sciencecognitive sciencenatural language processingmachine learning

Machine Learning for Identifying Harmful Online Behavior: A Cyberbullying Overview. Journal of Computer and Communications (2025)

Rikin ShresthaRushit Dave

harmful online behaviorcomputational social sciencemachine learningcyber crimecomputer sciencerumor spreadingcriminologypublic healthsocial mediainterpersonal violencecyberbullying overviewbehavioral sciencessocial impactbullyingharm reductioncybercrimemachine learning researchabuse detectionviolent behavioronline information

AI-Based Home Security System. International Journal of Computer Science and Information Technology (2024)

artificial intelligencecomputer sciencehome networkintelligent systemsintelligent computinginformation securitycomputer securitycyber-physical systemsdata securitycommunication securityhome automationphysical securitysystem safety

Your Device May Know You Better Than You Know Yourself -- Continuous Authentication on Novel Dataset Using Machine Learning. arXiv (Cornell University) (2024)

machine learning toolscomputer sciencemulti-factor authenticationcontinuous authenticationdata privacynovel datasetauthentication access controlidentity-based securityauthentication protocolinformation securitycomputer securitydata securitybiometricsmachine learning researchdata sciencemachine learning

Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and Svm. (2023)

convolutional neural networksdeep learningneural network (machine learning)machine learning researchdata sciencemachine learning

Hybrid Deepfake Detection Utilizing Mlp and LSTM. (2023)

convolutional neural networksdeep learningrecurrent neural networkssoft computingneural network (machine learning)machine learning researchimage representationdeepfakespattern recognitionmachine learning

Leveraging Deep Learning Approaches for Deepfake Detection: A Review. (2023)

convolutional neural networksdeep learning approachesdeep learningfeature learningneural network (machine learning)machine learning researchdeepfakespattern recognitionmachine learning

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Dave, Rushit

Minnesota State University--Mankato

Affiliations

College of Graduate Studies and Research

Honors

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Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dave, Rushit

Minnesota State University--Mankato

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparative Analysis of ML Models for Survival Prediction of Glioblastoma. Journal of Computer and Communications (2026)

Smarter Intersections: A Deep Reinforcement Learning Approach to Adaptive Traffic Signal Control Using V2I Communication. (2026)

computer sciencesystems engineeringintelligent vehiclestraffic signal controldeep reinforcement learningreinforcement learning

Comparative Research in Sentiment Analysis Using Machine Learning Technique. Journal of Data Analysis and Information Processing (2025)

Decoding Sentiment: How Machine Learning Maps Emotions Across Domains. International Journal of Computer Applications (2025)

Machine Learning for Identifying Harmful Online Behavior: A Cyberbullying Overview. Journal of Computer and Communications (2025)

Rikin ShresthaRushit Dave

AI-Based Home Security System. International Journal of Computer Science and Information Technology (2024)

Your Device May Know You Better Than You Know Yourself -- Continuous Authentication on Novel Dataset Using Machine Learning. arXiv (Cornell University) (2024)

Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and Svm. (2023)

convolutional neural networksdeep learningneural network (machine learning)machine learning researchdata sciencemachine learning

Hybrid Deepfake Detection Utilizing Mlp and LSTM. (2023)

Leveraging Deep Learning Approaches for Deepfake Detection: A Review. (2023)

convolutional neural networksdeep learning approachesdeep learningfeature learningneural network (machine learning)machine learning researchdeepfakespattern recognitionmachine learning

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