Faculty

Institution

Unit

Venue

Pinar Muyan-Ozcelik

Professor

California State University, Sacramento

Affiliations

California State University, Sacramento

Engineering & Computer Science

Computer Engineering

Department of Computer Science

Pinar Muyan-ozcelik is currently serving as a California State University, Sacramento Professor at California State University, Sacramento.

Honors

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Experiences

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Education

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Pinar Muyan-Ozcelik

California State University, Sacramento

Professor

You can click a keyword to filter the displayed items

computer science computer engineering parallel computing gpu computing computer vision machine learning pattern recognition parallel programming systems engineering embedded systems signal processing machine vision branch-and-bound algorithms parallel branch-and-bound algorithm electrical engineering medical imaging computer security field programmable gate array vehicular technology automatic control high performance computer architecture combinatorial optimization computational optimization image registration gpu architecture parallel complexity theory real-time speed-limit-sign recognition deformable image registration history-based domination sequential ordering problem child-computer interaction mathematical programming discrete algorithms mobile computing data privacy software analysis data security microarchitecture adaptive radiotherapy benchmark datasets automotive security motion detection feature detection mobile learning object-oriented design programming language teaching automatic identification signal recognition real-time computing object recognition gpu cluster analysis of algorithms algorithmic efficiency sorting algorithms concurrency control concurrency (computer science) concurrency theory application analysis mobile malware mobile security mobile analytics mobile computing systems parallel processing parallel metaheuristics parallel implementation deformable registration cuda implementation traffic sign classification fpga deployment deep learning frameworks graphics processing unit design patterns teaching oop concepts fpga versus gpu speed-limit-sign recognition data leakages

Notable Scholarly Works

Notable Federal Grants

Collaborators

Mlperf Automotive. ArXiv.org (2025)

Instruction Scheduling for the GPU on the GPU. (2024)

computer sciencehigh performance computer architecturegpu architecturecomputer engineeringparallel computinggpu computinggpu clustercomputer architecture

Combining a Parallel Branch-And-Bound Algorithm With a Strong Heuristic to Solve the Sequential Ordering Problem. (2023)

combinatoricscomputer sciencebranch-and-bound algorithmsoperations researchcombinatorial optimizationparallel implementationcomputational complexityparallel branch-and-bound algorithmstrong heuristiccomputer engineeringparallel computingparallel programmingsequential ordering problemcomputational optimizationparallel processingparallel complexity theoryparallel metaheuristics

A Parallel Branch-And-Bound Algorithm With History-Based Domination. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (2022)

Taspon GonggiatgulGhassan ShobakiPinar Muyan-Özçelik

computer sciencebranch-and-bound algorithmshistory-based dominationparallel branch-and-bound algorithmparallel computingparallel programming

A Parallel Branch-And-Bound Algorithm With History-Based Domination and Its Application to the Sequential Ordering Problem. Journal of Parallel and Distributed Computing (2022)

branch-and-bound algorithmsoperations researchhistory-based dominationdiscrete algorithmssorting algorithmssequential ordering problemparallel complexity theorycomputer sciencecomputational complexityparallel branch-and-bound algorithmparallel computingparallel programmingcombinatoricsanalysis of algorithmstheory of computationalgorithmic efficiencycombinatorial optimizationmathematical programmingcomputational optimizationapplied mathematics

Accelerating Forward-Backward Sweep Power Flow Computation on the GPU. (2020)

computational engineeringhigh performance computer architecturenumerical analysismicroarchitecturecomputational mathematicsgpu architecturecomputer engineeringparallel computingparallel programminggpu computingcomputer architectureapplied mathematics

Benchmarking Deep Learning Frameworks and Investigating Fpga Deployment for Traffic Sign Classification and Detection. IEEE Transactions on Intelligent Vehicles (2019)

Zhongyi LinMatthew YihJeffrey M. OtaJohn D. OwensPinar Muyan-Ozcelik

systems engineeringtraffic sign classificationcomputer visiondeep learningfield programmable gate arrayautomotive securitybenchmark datasetsdeep learning frameworkselectrical engineeringcomputer engineeringcomputer securityfpga deploymentmachine visiontransportation engineeringvehicular technologymachine learning

Don’t Be Surprised: I See Your Mobile App Stealing Your Data. 2018 International Conference on Computing, Networking and Communications (ICNC) (2018)

Swarna GopalanAditi KulkarniArpitaben Narendrabhai ShahJun DaiJinsong OuyangPinar Muyan-OzcelikXiaoyan Sun

mobile analyticsactivity graphdata privacyinformation securitymobile computingapplication analysisdata sciencedata leakagesmobile malwarecomputer sciencedata managementoperating systemssoftware analysiscomputer securityubiquitous computingmobile computing systemsmobile securityactivity graph generationprogram analysisdata security

Fpga Versus GPU for Speed-Limit-Sign Recognition. (2018)

Matthew YihJeffrey M. OtaJohn D. OwensPinar Muyan-Ozcelik

speed-limit-sign recognitionsignal processingcomputer engineeringfpga versus gpudigital signal processingpattern recognitionfield programmable gate array

A Hands-on Cross-Platform Mobile Programming Approach to Teaching Oop Concepts and Design Patterns. (2017)

teaching oop conceptstechnologydesign patternscomputing educationobject-oriented designsoftware designprogramming language teachingdesignchild-computer interactionsoftware engineeringmobile learningeducational technology

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Pinar Muyan-Ozcelik

Professor

California State University, Sacramento

Affiliations

California State University, Sacramento

Engineering & Computer Science

Computer Engineering

Department of Computer Science

Pinar Muyan-ozcelik is currently serving as a California State University, Sacramento Professor at California State University, Sacramento.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Pinar Muyan-Ozcelik

California State University, Sacramento

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Mlperf Automotive. ArXiv.org (2025)

Instruction Scheduling for the GPU on the GPU. (2024)

computer sciencehigh performance computer architecturegpu architecturecomputer engineeringparallel computinggpu computinggpu clustercomputer architecture

Combining a Parallel Branch-And-Bound Algorithm With a Strong Heuristic to Solve the Sequential Ordering Problem. (2023)

A Parallel Branch-And-Bound Algorithm With History-Based Domination. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (2022)

Taspon GonggiatgulGhassan ShobakiPinar Muyan-Özçelik

computer sciencebranch-and-bound algorithmshistory-based dominationparallel branch-and-bound algorithmparallel computingparallel programming

A Parallel Branch-And-Bound Algorithm With History-Based Domination and Its Application to the Sequential Ordering Problem. Journal of Parallel and Distributed Computing (2022)

Accelerating Forward-Backward Sweep Power Flow Computation on the GPU. (2020)

Benchmarking Deep Learning Frameworks and Investigating Fpga Deployment for Traffic Sign Classification and Detection. IEEE Transactions on Intelligent Vehicles (2019)

Zhongyi LinMatthew YihJeffrey M. OtaJohn D. OwensPinar Muyan-Ozcelik

Don’t Be Surprised: I See Your Mobile App Stealing Your Data. 2018 International Conference on Computing, Networking and Communications (ICNC) (2018)

Swarna GopalanAditi KulkarniArpitaben Narendrabhai ShahJun DaiJinsong OuyangPinar Muyan-OzcelikXiaoyan Sun

Fpga Versus GPU for Speed-Limit-Sign Recognition. (2018)

Matthew YihJeffrey M. OtaJohn D. OwensPinar Muyan-Ozcelik

speed-limit-sign recognitionsignal processingcomputer engineeringfpga versus gpudigital signal processingpattern recognitionfield programmable gate array

A Hands-on Cross-Platform Mobile Programming Approach to Teaching Oop Concepts and Design Patterns. (2017)

1
2
10 / page