Faculty

Institution

Unit

Venue

Saptarshi Sengupta

Assistant Professor

San Jose State University

Affiliations

College of Science

Department Of Computer Science

Saptarshi Sengupta is currently serving as a College Of Science Assistant Professor at San Jose State University.

Honors

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Experiences

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Education

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Saptarshi Sengupta

San Jose State University

Assistant Professor

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machine learning data science computer science predictive analytics machine learning research public health deep learning information fusion epidemiology image analysis big data health informatics medical image computing scene interpretation life prediction machine learning models lithium-ion batteries epidemiological parameters covid-19 diagnosis biomedical informatics molecular diagnostics virus research medical virology machine vision computational imaging data privacy knowledge discovery life cycle assessment health technology digital medicine scientific computing brain tumor research primary investigation computational epidemiology disease detection disease surveillance infectious disease modelling ensemble algorithms forensic identification facial recognition system facial reconstruction face detection service life prediction real-time monitoring big data storage reliability prediction ai healthcare health system analysis health care analytics health data data classification prediction modelling datacenter-scale computing smart infrastructure convolutional neural networks biosignal processing blood pressure health monitoring feature detection autoencoders learning models preliminary detection facial features hyper-parameter optimization forensics applications bidirectional lstm networks hard disk drives useful life estimation knee osteoarthritis force platform brain cancer survivability interactive web-based tool machine learning model workplace absenteeism hard disks

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Learning for Non-Invasive Blood Pressure Monitoring: Model Performance and Quantization Trade-Offs. Electronics (2025)

machine learningmachine learning modelsblood pressureconvolutional neural networksquantization trade-offsbiosignal processingdeep learningmedical image computingmachine learning researchdata sciencedigital medicinecomputer sciencemodel performance

Survival Analysis for Cancers of the Brain, Cns and Bone Using Retrieval Augmented Generation on the Seer Database. Proceedings of the AAAI Symposium Series (2025)

neurologygliomasradiation oncologyneuroimagingsurvival analysiscancer researchbrain tumor researchcancer imagingoncologyseer databaseneuro-oncologyretrieval augmented generationbrain lesiononcologic imaging

Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures. Annual Conference of the PHM Society (2024)

Pooja KrishanRohan MohapatraSanchari DasSaptarshi Sengupta

time seriessmart infrastructuredata scienceadversarial attacksconnected infrastructures

The State of Lithium-Ion Battery Health Prognostics in the Cps Era. arXiv (Cornell University) (2024)

Shinde, GauravMohapatra, RohanKrishan, PoojaGarg, HarishPrabhu, SrikanthDas, SanchariMasum, MohammadSengupta, Saptarshi

public healthcps eraprognostic evaluationenergy storagelithium-ion batteries

2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications. IEEE Access (2023)

Gangothri SanilKrishna PrakashSrikanth PrabhuVinod C. NayakSaptarshi Sengupta

computational imagingscene interpretationforensics applicationsdata scienceforensic identificationimage analysiscognitive sciencemachine learningfacial recognition systemfacial featuresfacial reconstructioncomputer visionhyper-parameter optimizationmachine visiondigital image processingpattern recognitionmedical image computingface detectioncomputer scienceinformation fusion

De-Sate: Denoising Self-Attention Transformer Encoders for LI-Ion Battery Health Prognostics. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Gaurav ShindeRohan MohapatraPooja KrishanSaptarshi Sengupta

scientific computingpredictive analyticsscene interpretationmachine learninghealth monitoringself-attention transformer encodersdeep learningautoencodersmachine learning researchimage analysisdata sciencefeature detectionbig datacomputer sciencehealth scienceslithium-ion batteriesinformation fusion

Determining the Temporal Factors of Survival Associated With Brain and Nervous System Cancer Patients: A Hybrid Machine Learning Methodology. International Journal of Healthcare Management (2023)

Gopal NathAustin CourseyJoseph EkongElham RastegariSaptarshi SenguptaAsli Z. DagDursun Delen

biomedical data scienceshort-term variabilitysurvival analysisneurologycancer carecancer managementneuroimagingmachine learninghealth scienceshealth systemsbiostatisticshealth care managementprognosiscomputational statisticsquantitative science studiestemporal factorsoncologybiomedical analysismortality

Large-Scale End-Of-Life Prediction of Hard Disks in Distributed Datacenters. (2023)

Rohan MohapatraAustin CourseySaptarshi Sengupta

hard diskslarge-scale end-of-life predictiondatacenter-scale computingdistributed datacentersforecastingcomputer science

TFBEST: Dual-Aspect Transformer With Learnable Positional Encoding for Failure Prediction. arXiv (Cornell University) (2023)

Mohapatra, RohanSengupta, Saptarshi

machine learninglearnable positional encodingdeep learningdata sciencedual-aspect transformercomputer sciencefailure prediction

An Interactive Web-Based Tool for Predicting and Exploring Brain Cancer Survivability. Healthcare Analytics (2022)

Gopal NathAustin CourseyYang LiSrikanth PrabhuHarish GargShaymal C. HalderSaptarshi Sengupta

public healthpredictive analyticsdigital healthbrain cancer survivabilityhealth services researchlife predictionhealth carehealth care analyticshealth datahealth informaticsai healthcareinteractive web-based toolhealth system analysishealth scienceshealth technologyhealth policy

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Saptarshi Sengupta

Assistant Professor

San Jose State University

Affiliations

College of Science

Department Of Computer Science

Saptarshi Sengupta is currently serving as a College Of Science Assistant Professor at San Jose 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

Saptarshi Sengupta

San Jose State University

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Deep Learning for Non-Invasive Blood Pressure Monitoring: Model Performance and Quantization Trade-Offs. Electronics (2025)

Survival Analysis for Cancers of the Brain, Cns and Bone Using Retrieval Augmented Generation on the Seer Database. Proceedings of the AAAI Symposium Series (2025)

Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures. Annual Conference of the PHM Society (2024)

Pooja KrishanRohan MohapatraSanchari DasSaptarshi Sengupta

time seriessmart infrastructuredata scienceadversarial attacksconnected infrastructures

The State of Lithium-Ion Battery Health Prognostics in the Cps Era. arXiv (Cornell University) (2024)

Shinde, GauravMohapatra, RohanKrishan, PoojaGarg, HarishPrabhu, SrikanthDas, SanchariMasum, MohammadSengupta, Saptarshi

public healthcps eraprognostic evaluationenergy storagelithium-ion batteries

2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications. IEEE Access (2023)

Gangothri SanilKrishna PrakashSrikanth PrabhuVinod C. NayakSaptarshi Sengupta

De-Sate: Denoising Self-Attention Transformer Encoders for LI-Ion Battery Health Prognostics. 2021 IEEE International Conference on Big Data (Big Data) (2023)

Gaurav ShindeRohan MohapatraPooja KrishanSaptarshi Sengupta

Determining the Temporal Factors of Survival Associated With Brain and Nervous System Cancer Patients: A Hybrid Machine Learning Methodology. International Journal of Healthcare Management (2023)

Gopal NathAustin CourseyJoseph EkongElham RastegariSaptarshi SenguptaAsli Z. DagDursun Delen

Large-Scale End-Of-Life Prediction of Hard Disks in Distributed Datacenters. (2023)

Rohan MohapatraAustin CourseySaptarshi Sengupta

hard diskslarge-scale end-of-life predictiondatacenter-scale computingdistributed datacentersforecastingcomputer science

TFBEST: Dual-Aspect Transformer With Learnable Positional Encoding for Failure Prediction. arXiv (Cornell University) (2023)

Mohapatra, RohanSengupta, Saptarshi

machine learninglearnable positional encodingdeep learningdata sciencedual-aspect transformercomputer sciencefailure prediction

An Interactive Web-Based Tool for Predicting and Exploring Brain Cancer Survivability. Healthcare Analytics (2022)

Gopal NathAustin CourseyYang LiSrikanth PrabhuHarish GargShaymal C. HalderSaptarshi Sengupta

1
2
10 / page