Faculty

Institution

Unit

Venue

Sanjay Ranka, Ph.D

Distinguished Professor

University of Florida

Affiliations

Herbert Wertheim College of Engineering

Department of Computer & Information Science & Engineering

Department of Materials Science & Engineering

Sanjay Ranka, Ph.d is currently serving as a Computer & Information Science & Engineering Distinguished Professor at University of Florida.

Honors

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Experiences

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Education

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Sanjay Ranka, Ph.D

University of Florida

Distinguished Professor

You can click a keyword to filter the displayed items

computer science machine learning systems engineering parallel computing data science computer engineering computer vision transportation engineering pattern recognition parallel programming vehicular technology scientific computing distributed computing traffic management computer architecture high performance computer architecture parallel processing informatics scheduling (computing) bioinformatics distributed systems older adults traffic engineering data compression vehicle technology energy optimization parallelizing compiler neural networks synthetic aperture radar machine vision later adulthood knowledge discovery programming languages distributed processing compiler technology scheduling problems mobility 3d computer vision earth observation data data classification massively-parallel computing transportation system management parallel software traffic intersections health technology computational optimization energy minimization earth observation gpu computing physiological measurements mobile computing computational intelligence real-time monitoring health monitoring classification method energy control supercomputer architecture fortran 90d hypercube algorithms evolutionary computation knowledge engineering data engineering anomaly detection scheduling (production processes) fault tolerance automated vehicles cgh data practical hierarchical model adaptive problems parallel computation fortran 90d/hpf intelligent intersection connection-oriented networks validation study linear block codes usability study cluster computing massive data processing data-intensive computing data mining data intensive applications optimization-based data mining grid computing biomedical informatics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Clustering. Cambridge University Press eBooks (2025)

Zhen “Leo” Liu

computer scienceclusteringdata classificationsecond editionunsupervised machine learningneural network (machine learning)machine learning researchcomputational intelligencedata sciencedata miningpattern recognitionmachine learning

A Data-Driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. 2022 IEEE Intelligent Vehicles Symposium (IV) (2024)

Aotian WuYash RanjanRahul SenguptaAnand RangarajanSanjay Ranka

computer sciencedata-driven predictiontraffic simulationsignalized intersectionsprobabilistic traffic predictiontraffic predictiondata modelingdata miningmodeling and simulationdata sciencedata-driven optimizationapplied mathematics

A General Framework for Error-Controlled Unstructured Scientific Data Compression. (2024)

Qian GongZhe WangViktor ReshniakXin LiangJieyang ChenQing LiuTushar M. AthawaleYi JuAnand RangarajanSanjay RankaNorbert PodhorszkiRick ArchibaldScott Klasky

general frameworkscientific computingunstructured datadata compressiondata sciencescientific datadata managementscientific data management

An Efficient Semi-Automated Scheme for Infrastructure Lidar Annotation. IEEE Transactions on Intelligent Transportation Systems (2024)

Aotian WuPan HeXiao LiKe ChenSanjay RankaAnand Rangarajan

efficient semi-automated schemecomputer sciencesystems engineeringtransportation system managementintelligent systemsinfrastructure lidar annotationcomputer visiondata annotation3d computer visiontraffic managementannotation serviceintelligent computingindustrial informaticscomputer engineeringnatural language processingtransportation engineeringvehicular technologymachine learning

Attention Based Machine Learning Methods for Data Reduction With Guaranteed Error Bounds. arXiv (Cornell University) (2024)

Li, XiaoLee, JaemoonRangarajan, AnandRanka, Sanjay

data reductionattentionguaranteed error boundsdata sciencemachine learning

Coordinating Corridors. CRC Press eBooks (2024)

Yashaswi KarnatiDhruv MahajanTania BanerjeeRahul SenguptaClay PackardRyan CasburnNithin AgarwalJeremy DilmoreAnand RangarajanSanjay Ranka

Data Analytics and Machine Learning for Integrated Corridor Management. (2024)

Yashawi KarnatiDhruv MahajanTania BanerjeeRahul SenguptaPackard ClayRyan CasburnNithin AgarwalJeremy DilmoreAnand RangarajanSanjay Ranka

traffic predictionintegrated corridor managementdata sciencemachine learning

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads. arXiv (Cornell University) (2024)

Yousefzadeh, NooshinSengupta, RahulRanka, Sanjay

spatial analysisnetwork sciencegraph theorytransportation planningtraffic modelstemporal networkstraffic predictiontransport network analysisurban arterial roadsdata sciencenetwork analysismachine learning

Estimating Turning Movement Counts. CRC Press eBooks (2024)

Yashaswi KarnatiDhruv MahajanTania BanerjeeRahul SenguptaClay PackardRyan CasburnNithin AgarwalJeremy DilmoreAnand RangarajanSanjay Ranka

motion controlnumerical simulationshuman movementmovement countsmotor controlmechanical engineeringmovement disorderskinesiologymobilitymotion detectionbiometricsmovement analysismotion analysiskinematicsrehabilitationphysiological status

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. arXiv (Cornell University) (2024)

Li, XiaoLee, JaemoonRangarajan, AnandRanka, Sanjay

temporal datadata modelingdata compressiondata sciencescientific dataspatiotemporal scientific datalossy compression

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Sanjay Ranka, Ph.D

Distinguished Professor

University of Florida

Affiliations

Herbert Wertheim College of Engineering

Department of Computer & Information Science & Engineering

Department of Materials Science & Engineering

Sanjay Ranka, Ph.d is currently serving as a Computer & Information Science & Engineering Distinguished Professor at University of 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

Sanjay Ranka, Ph.D

University of Florida

Distinguished Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Clustering. Cambridge University Press eBooks (2025)

Zhen “Leo” Liu

A Data-Driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. 2022 IEEE Intelligent Vehicles Symposium (IV) (2024)

Aotian WuYash RanjanRahul SenguptaAnand RangarajanSanjay Ranka

A General Framework for Error-Controlled Unstructured Scientific Data Compression. (2024)

Qian GongZhe WangViktor ReshniakXin LiangJieyang ChenQing LiuTushar M. AthawaleYi JuAnand RangarajanSanjay RankaNorbert PodhorszkiRick ArchibaldScott Klasky

general frameworkscientific computingunstructured datadata compressiondata sciencescientific datadata managementscientific data management

An Efficient Semi-Automated Scheme for Infrastructure Lidar Annotation. IEEE Transactions on Intelligent Transportation Systems (2024)

Aotian WuPan HeXiao LiKe ChenSanjay RankaAnand Rangarajan

Attention Based Machine Learning Methods for Data Reduction With Guaranteed Error Bounds. arXiv (Cornell University) (2024)

Li, XiaoLee, JaemoonRangarajan, AnandRanka, Sanjay

data reductionattentionguaranteed error boundsdata sciencemachine learning

Coordinating Corridors. CRC Press eBooks (2024)

Yashaswi KarnatiDhruv MahajanTania BanerjeeRahul SenguptaClay PackardRyan CasburnNithin AgarwalJeremy DilmoreAnand RangarajanSanjay Ranka

Data Analytics and Machine Learning for Integrated Corridor Management. (2024)

Yashawi KarnatiDhruv MahajanTania BanerjeeRahul SenguptaPackard ClayRyan CasburnNithin AgarwalJeremy DilmoreAnand RangarajanSanjay Ranka

traffic predictionintegrated corridor managementdata sciencemachine learning

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads. arXiv (Cornell University) (2024)

Yousefzadeh, NooshinSengupta, RahulRanka, Sanjay

Estimating Turning Movement Counts. CRC Press eBooks (2024)

Yashaswi KarnatiDhruv MahajanTania BanerjeeRahul SenguptaClay PackardRyan CasburnNithin AgarwalJeremy DilmoreAnand RangarajanSanjay Ranka

Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. arXiv (Cornell University) (2024)

Li, XiaoLee, JaemoonRangarajan, AnandRanka, Sanjay

temporal datadata modelingdata compressiondata sciencescientific dataspatiotemporal scientific datalossy compression

1
2
3
4
5
49
10 / page

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medical image computing

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