Faculty

Institution

Unit

Venue

Subhash Bagui

Distinguished University Professor

University of West Florida

Affiliations

Intelligent Systems & Robotics

Department Of Math And Statistics

Department Of Statistics And Mathematics

Department Of Systems Science

Hal Marcus College of Science and Engineering

Department of Mathematics and Statistics

Division of Academic Affairs

Hal Marcus College of Science and Engineering

University of West Florida

Subhash Bagui is a Distinguished University Professor at the University of West Florida. He earned his Ph.D. from the University of Alberta, an M.S. from the Indian Statistical Institute, and a B.Sc. from the University of Calcutta. His research focuses on data science, machine learning, and statistical theory, with recent work emphasizing GAN-based minority data augmentation for imbalanced intrusion detection using the UWF-ZeekData22 dataset, hybrid ARIMA and decision-tree forecasting models for cyberattack detection in MITRE ATT&CK-labeled Zeek logs, and theoretical explorations of Cramer-Rao lower bounds and uniformly minimum variance unbiased estimators. His latest publications appear in Technologies, Electronics, and Future Internet.

Honors

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Experiences

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Subhash Bagui

University of West Florida

Distinguished University Professor

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data science statistics computer science data mining knowledge discovery machine learning pattern recognition network analysis machine learning research classification method computer security analytics big data computational statistics intrusion detection systems information forensics data classification internet traffic analysis network traffic measurement threat detection information security computational intelligence biomedical informatics anomaly detection granular computing cluster computing statistical pattern recognition botnet detection information fusion discrete algorithms cyber conflict mercury biogeochemistry intelligent classification global networks marine pollution cyber threat intelligence mercury chemistry class imbalances big data infrastructures earth science digital medicine atmospheric environment marine chemistry network performance traffic monitoring outlier detection big data acquisition target prediction predictive toxicology concept drift ck framework atmospheric deposition mitre att traffic prediction big data architecture massive data processing knowledge discovery process machine learning models rational drug design hit identification character recognition learning to rank network robustness machine-learning algorithms time-related features unsw‐nb15 dataset rare cyber‐attacks major ions inter-annual variability imbalanced cybersecurity data ratios using bsmote identifying rare attacks discovery tactics multistage generalization predictive accuracy double autocorrelation distribution theory biostatistics statistical computing cluster analysis statistics education

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hybrid Time Series Forecasting Model Combining Arima and Decision Trees to Detect Attacks in Mitre Att Ck Labeled Zeek Log Data. Electronics (2026)

decision treespredictive analyticsforecastingmitre attdata sciencetime serieszeek log datastatistics

A Hybrid Time Series Forecasting Model Combining Arima and Decision Trees to Detect Attacks in Mitre Att&Ck Labeled Zeek Log Data. (2026)

predictive analyticsforecastingfault forecastingnonlinear time seriesdata sciencetime seriesintrusion detection systemssignal processingsystem safetyforecasting methodology

A Systematic Ablation Study of Gan-Based Minority Augmentation for Intrusion Detection on Uwf-Zeekdata22. Electronics (2026)

detection techniqueanomaly detectioncomputer sciencedata scienceintrusion detectionintrusion detection systemsgan-based minority augmentationsystematic ablation study

Class-Specific Gan Augmentation for Imbalanced Intrusion Detection: A Comparative Study Using the Uwf-Zeekdata22 Dataset. Future Internet (2026)

machine learning researchclass imbalancesimbalanced intrusion detectioncomputer sciencemachine learningadversarial machine learningdata scienceuwf-zeekdata22 datasetintrusion detection systemsdata augmentationclass-specific gan augmentationgenerative adversarial networksdeep learningneural network (machine learning)

Class-Specific Gan-Based Minority Data Augmentation for Cyberattack Detection Using the Uwf-Zeekdata22 Dataset. Technologies (2026)

computer sciencemachine learninggenerative adversarial networksdata scienceadversarial machine learningcyberattack detectionuwf-zeekdata22 datasetdata augmentationinformation forensicsdeep learningneural network (machine learning)

Class-Specific Gan-Based Minority Data Augmentation for Cyberattack Detection Using the Uwf-Zeekdata22 Dataset. (2026)

machine learning researchcomputer sciencemachine learningdata sciencedeep learningdata augmentation

Exploring Cramer-Rao Lower Bounds and Uniformly Minimum Variance Unbiased Estimators (Umvue): Counterexamples. (2026)

Analyzing Performance of Data Preprocessing Techniques on Cpus vs. Gpus With and Without the Mapreduce Environment. Electronics (2025)

map-reducehigh performance computer architecturecomputer architecturecomputer sciencedata scienceparallel computingparallel programmingdata preprocessing techniquesmapreduce environmentgpu computingdata-intensive computing

Analyzing Performance of Data Preprocessing Techniques on Cpus vs. Gpus With and Without the Mapreduce Environment. (2025)

map-reducecomputer scienceparallel computingparallel programminggpu computingdata-intensive computing

Bahadur–Kiefer Type Representations for Smoothed Conditional Quantile Estimators. Calcutta Statistical Association Bulletin (2025)

applied mathematicsstatistical methodologycomputational statisticsstatistical theorystatistical inferenceapplied statisticsstatistics

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Subhash Bagui

Distinguished University Professor

University of West Florida

Affiliations

Intelligent Systems & Robotics

Department Of Math And Statistics

Department Of Statistics And Mathematics

Department Of Systems Science

Hal Marcus College of Science and Engineering

Department of Mathematics and Statistics

Division of Academic Affairs

Hal Marcus College of Science and Engineering

University of West Florida

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Subhash Bagui

University of West Florida

Distinguished University Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Hybrid Time Series Forecasting Model Combining Arima and Decision Trees to Detect Attacks in Mitre Att Ck Labeled Zeek Log Data. Electronics (2026)

decision treespredictive analyticsforecastingmitre attdata sciencetime serieszeek log datastatistics

A Hybrid Time Series Forecasting Model Combining Arima and Decision Trees to Detect Attacks in Mitre Att&Ck Labeled Zeek Log Data. (2026)

predictive analyticsforecastingfault forecastingnonlinear time seriesdata sciencetime seriesintrusion detection systemssignal processingsystem safetyforecasting methodology

A Systematic Ablation Study of Gan-Based Minority Augmentation for Intrusion Detection on Uwf-Zeekdata22. Electronics (2026)

detection techniqueanomaly detectioncomputer sciencedata scienceintrusion detectionintrusion detection systemsgan-based minority augmentationsystematic ablation study

Class-Specific Gan Augmentation for Imbalanced Intrusion Detection: A Comparative Study Using the Uwf-Zeekdata22 Dataset. Future Internet (2026)

Class-Specific Gan-Based Minority Data Augmentation for Cyberattack Detection Using the Uwf-Zeekdata22 Dataset. Technologies (2026)

Class-Specific Gan-Based Minority Data Augmentation for Cyberattack Detection Using the Uwf-Zeekdata22 Dataset. (2026)

machine learning researchcomputer sciencemachine learningdata sciencedeep learningdata augmentation

Exploring Cramer-Rao Lower Bounds and Uniformly Minimum Variance Unbiased Estimators (Umvue): Counterexamples. (2026)

Analyzing Performance of Data Preprocessing Techniques on Cpus vs. Gpus With and Without the Mapreduce Environment. Electronics (2025)

Analyzing Performance of Data Preprocessing Techniques on Cpus vs. Gpus With and Without the Mapreduce Environment. (2025)

map-reducecomputer scienceparallel computingparallel programminggpu computingdata-intensive computing

Bahadur–Kiefer Type Representations for Smoothed Conditional Quantile Estimators. Calcutta Statistical Association Bulletin (2025)

applied mathematicsstatistical methodologycomputational statisticsstatistical theorystatistical inferenceapplied statisticsstatistics

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5
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10 / page