Faculty

Institution

Unit

Venue

Xunfei Jiang

Associate Professor

California State University--Northridge

Affiliations

College of Engineering and Computer Science

Center for Engineering and Computer Science Research and Education

College of Engineering & Computer Science

Center for Engineering and Computer Science Research and Education

Xunfei Jiang is currently serving as a Center For Engineering And Computer Science Research And Education Associate Professor at California State University--Northridge.

Honors

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Experiences

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Education

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Xunfei Jiang

California State University--Northridge

Associate Professor

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computer science systems engineering data science machine learning thermal modeling information retrieval distributed systems parallel computing signal processing vehicular technology thermal management storage systems applied mathematics data mining energy efficiency energy storage digital signal processing thermal engineering databases data security communication security intelligent vehicles distributed processing distributed computing thermal analysis software certification intelligent traffic management traffic monitoring data center management vehicle detection recommender systems information technology precision agriculture field robotics cluster computing machine vision machine learning research computational intelligence biomedical informatics network analytics influence model network simulation network performance network operations distributed data processing energy storage systems parallel storage computer data storage database theory database processing geographic information retrieval query analysis query optimization real-time application scheduling analysis software verification authentication protocol verification and validation cluster science workload management voronoi diagram transport infrastructure scalable influence maximization independent cascade model energy-efficient informed prefetching hybrid storage system storage clusters thermal-aware file assignment solid state drives internal parallelism write performance towards two-phase scheduling hybrid storage clusters energy-efficient gpu-intensive workload predictive energy-aware management vlos compliance solution big data intelligent systems natural computing infrastructure engineering cloud computing system science scientific computing computer engineering memetic computing cyber-physical systems computer architecture computational engineering spatial databases informatics engineering web services intelligent computing industrial informatics data modeling parallel programming data management high performance computer architecture data integration networked system design computing education theoretical computer science service computing scientific data theory of computation modeling and simulation scalability computational science technology systems modeling system software analytics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Pointpillars With Background Filtering for Faster Roadside Vehicle Detection and Classification. (2026)

A Self-Attention Enhanced Deep Learning Framework for Fatigue Prediction. (2026)

deep learningfatigue managementrecurrent neural networksfatigue predictionneural network (machine learning)machine learning researchcomputational intelligencedata sciencemachine learning

Stress Detection Through Sleep-Based Physiological Signals: An Integrated Semi-Supervised and Supervised Learning Approach. (2026)

learning approachhealth monitoringsleepstress (biology)neurosciencesleep-based physiological signalsstress biomarkersdata scienceaffective computingstress detection

Thermal-Aware Energy-Efficient Workload Scheduling for Data Centers. (2026)

A Comparative Analysis of Object Detection Models for Plant Leaf Counting Under Overlapping Foliage Conditions. (2025)

plant leaf countingbotanycomparative analysisimage analysisobject detection models

Evaluating Privacy and Utility of Synthetic Tabular Data With Membership Inference Attacks. (2025)

Reducing Exposure Bias in Deep Learning Models for GPU Temperature Prediction in Data Centers. (2025)

Sliding Window Based Physical Activity Classification Using Smart Wearable Data. (2025)

sensorshealth monitoringphysical activity classificationwearable technologyphysical activitykinesiologyubiquitous computingphysiological measurementsdata scienceactivity recognitionwearable systems

3D Vehicle Detection in Roadside Traffic Flow Using Complex-Yolo. (2024)

systems engineeringcomputer visionadvanced driver-assistance systemintelligent transportation systemsobject detectionmachine visionvehicle detectiontransportation engineeringimage analysisvehicular technologyautomotive tracking

A Real-Time Traffic Monitoring System Based on Yolov8 for Vehicle Detection and Classification. (2024)

systems engineeringintelligent vehiclesadvanced driver-assistance systemintelligent transportation systemsintelligent traffic managementpattern recognitionvehicle detectionvehicular technologyautomotive trackingtraffic monitoring

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Xunfei Jiang

Associate Professor

California State University--Northridge

Affiliations

College of Engineering and Computer Science

Center for Engineering and Computer Science Research and Education

College of Engineering & Computer Science

Center for Engineering and Computer Science Research and Education

Xunfei Jiang is currently serving as a Center For Engineering And Computer Science Research And Education Associate Professor at California State University--Northridge.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Xunfei Jiang

California State University--Northridge

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Pointpillars With Background Filtering for Faster Roadside Vehicle Detection and Classification. (2026)

A Self-Attention Enhanced Deep Learning Framework for Fatigue Prediction. (2026)

deep learningfatigue managementrecurrent neural networksfatigue predictionneural network (machine learning)machine learning researchcomputational intelligencedata sciencemachine learning

Stress Detection Through Sleep-Based Physiological Signals: An Integrated Semi-Supervised and Supervised Learning Approach. (2026)

learning approachhealth monitoringsleepstress (biology)neurosciencesleep-based physiological signalsstress biomarkersdata scienceaffective computingstress detection

Thermal-Aware Energy-Efficient Workload Scheduling for Data Centers. (2026)

A Comparative Analysis of Object Detection Models for Plant Leaf Counting Under Overlapping Foliage Conditions. (2025)

plant leaf countingbotanycomparative analysisimage analysisobject detection models

Evaluating Privacy and Utility of Synthetic Tabular Data With Membership Inference Attacks. (2025)

Reducing Exposure Bias in Deep Learning Models for GPU Temperature Prediction in Data Centers. (2025)

Sliding Window Based Physical Activity Classification Using Smart Wearable Data. (2025)

sensorshealth monitoringphysical activity classificationwearable technologyphysical activitykinesiologyubiquitous computingphysiological measurementsdata scienceactivity recognitionwearable systems

3D Vehicle Detection in Roadside Traffic Flow Using Complex-Yolo. (2024)

A Real-Time Traffic Monitoring System Based on Yolov8 for Vehicle Detection and Classification. (2024)

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10 / page