Faculty

Institution

Unit

Venue

Prasad Kulkarni

Professor

University of Kansas

Affiliations

Engineering

Electrical Engineering & Computer Science

Prasad Kulkarni is currently serving as an Electrical Engineering & Computer Science Professor at University of Kansas.

Honors

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Experiences

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Education

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Prasad Kulkarni

University of Kansas

Professor

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computer science computer engineering parallel computing machine learning program optimization compiler technology program analysis software engineering optimizing compilers computer architecture software analysis systems engineering engineering optimization design optimization architecture genetic algorithms performance evaluation computational complexity evolutionary computation genetic programming computational optimization mathematical optimization programming languages dynamic compilation memory management information technology search-based software engineering performance tuning software security optimization phases jit compilation policy modern machines cross-layer memory management code quality profile data global optimization high performance computer architecture combinatorial optimization system software localization parallel programming mobile computing computational intelligence algorithm configuration heuristic search profiling technique embedded operating systems software architecture compiler support advanced computing software practice localization technique concurrency theory concurrent programming strain localization embedded architecture embedded machine learning string processing intelligent processing system optimization programming language implementation reverse engineering error correction failure detection malware analysis fast searches effective optimization sequences effective sequences distinct phase benchmark suite fixed optimization phase phase order space search algorithms efficient searches effective optimization-phase sequences system programming

Notable Scholarly Works

Notable Federal Grants

Collaborators

Effectiveness of Binary-Level Cfi Techniques. Lecture notes in computer science (2024)

Ruturaj K. VaidyaPrasad A. Kulkarni

computer sciencebinary-level cfi techniquesmachine learning

Exploring Errors in Binary-Level Cfg Recovery. (2024)

Anjali ParePrasad Kulkarni

digital signal processingengineeringerror correctionbinary-level cfg recovery

Survey of Techniques to Detect Common Weaknesses in Program Binaries. Cyber Security and Applications (2024)

Ashish AdhikariPrasad Kulkarni

computer sciencemalware analysisfailure detectionprogram binariessoftware analysissoftware securitycomputer securitycommon weaknesses

A Framework for Assessing Decompiler Inference Accuracy of Source-Level Program Constructs. (2023)

Jace KlinePrasad Kulkarni

computer sciencesoftware engineeringsource-level program constructsmachine learning

Survey of Techniques to Detect Cwes in Program Binaries. (2023)

Ashish AdhikariPrasad Kulkarni

computer sciencesoftware analysisprogram binaries

Detect Compiler Inserted Run-Time Security Checks in Binary Software. Lecture notes in computer science (2022)

Koyel PramanickPrasad A. Kulkarni

computer sciencesoftware securitycomputer securityinformation securitycompiler technologybinary software

Using the Strings Metadata to Detect the Source Language of the Binary. Advances in intelligent systems and computing (2022)

Ashish AdhikariPrasad A. Kulkarni

artificial intelligencecomputer sciencesource languageintelligent systemslinguisticsstrings metadataintelligent computingdata securitystring processingcomputational intelligencenatural language processingintelligent processingpattern recognitionmachine learning

Explore Capabilities and Effectiveness of Reverse Engineering Tools to Provide Memory Safety for Binary Programs. Lecture notes in computer science (2021)

Ruturaj VaidyaPrasad A. KulkarniMichael R. Jantz

memory safetycomputer scienceexplore capabilitiesreverse engineeringreverse engineering toolsbinary programsmachine learning

Exploring Impact of Profile Data on Code Quality in the Hotspot Jvm. ACM Transactions on Embedded Computing Systems (2020)

April W. WadePrasad A. KulkarniMichael R. Jantz

computer scienceembedded systemssystems engineeringembedded machine learningprofile datacomputer engineeringmobile computingcode qualityembedded architecturemachine learning

Evaluating the Effectiveness of Program Data Features for Guiding Memory Management. Proceedings of the International Symposium on Memory Systems (2019)

T. Chad EfflerBrandon KammerdienerMichael R. JantzSaikat SenguptaPrasad A. KulkarniKshitij A. DoshiTerry Jones

computer sciencememory managementprogram data featuresparallel computingprogram evaluation

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Prasad Kulkarni

Professor

University of Kansas

Affiliations

Engineering

Electrical Engineering & Computer Science

Prasad Kulkarni is currently serving as an Electrical Engineering & Computer Science Professor at University of Kansas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Prasad Kulkarni

University of Kansas

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Effectiveness of Binary-Level Cfi Techniques. Lecture notes in computer science (2024)

Ruturaj K. VaidyaPrasad A. Kulkarni

computer sciencebinary-level cfi techniquesmachine learning

Exploring Errors in Binary-Level Cfg Recovery. (2024)

Anjali ParePrasad Kulkarni

digital signal processingengineeringerror correctionbinary-level cfg recovery

Survey of Techniques to Detect Common Weaknesses in Program Binaries. Cyber Security and Applications (2024)

Ashish AdhikariPrasad Kulkarni

computer sciencemalware analysisfailure detectionprogram binariessoftware analysissoftware securitycomputer securitycommon weaknesses

A Framework for Assessing Decompiler Inference Accuracy of Source-Level Program Constructs. (2023)

Jace KlinePrasad Kulkarni

computer sciencesoftware engineeringsource-level program constructsmachine learning

Survey of Techniques to Detect Cwes in Program Binaries. (2023)

Ashish AdhikariPrasad Kulkarni

computer sciencesoftware analysisprogram binaries

Detect Compiler Inserted Run-Time Security Checks in Binary Software. Lecture notes in computer science (2022)

Koyel PramanickPrasad A. Kulkarni

computer sciencesoftware securitycomputer securityinformation securitycompiler technologybinary software

Using the Strings Metadata to Detect the Source Language of the Binary. Advances in intelligent systems and computing (2022)

Ashish AdhikariPrasad A. Kulkarni

Explore Capabilities and Effectiveness of Reverse Engineering Tools to Provide Memory Safety for Binary Programs. Lecture notes in computer science (2021)

Ruturaj VaidyaPrasad A. KulkarniMichael R. Jantz

memory safetycomputer scienceexplore capabilitiesreverse engineeringreverse engineering toolsbinary programsmachine learning

Exploring Impact of Profile Data on Code Quality in the Hotspot Jvm. ACM Transactions on Embedded Computing Systems (2020)

April W. WadePrasad A. KulkarniMichael R. Jantz

computer scienceembedded systemssystems engineeringembedded machine learningprofile datacomputer engineeringmobile computingcode qualityembedded architecturemachine learning

Evaluating the Effectiveness of Program Data Features for Guiding Memory Management. Proceedings of the International Symposium on Memory Systems (2019)

T. Chad EfflerBrandon KammerdienerMichael R. JantzSaikat SenguptaPrasad A. KulkarniKshitij A. DoshiTerry Jones

computer sciencememory managementprogram data featuresparallel computingprogram evaluation

1
2
3
4
5
10 / page

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Similar Faculty Members

Roman L Lysecky

Institution

University of Arizona

design automation

embedded system security

Michael Carbin

Institution

Massachusetts Institute of Technology

design automation

programming language theory

Keith D. Cooper

Institution

Rice University

computer science

parallel computing

Kyle C. Hale

Institution

Oregon State University

philosophy of computer science

computer architecture

Alan L. Cox

Institution

Rice University

parallel processing

parallel computing

Calvin Lin

Institution

University of Texas at Austin

memory systems

parallel computing

Yuanyuan Zhou

Institution

University of California, San Diego

computer science

systems engineering

Salim A Hariri

Institution

University of Arizona

industrial informatics

grid computing

Ronald D. Barnes

Institution

University of Oklahoma

compiler technology

computer architecture

David J Kuck

Institution

University of Illinois Urbana-Champaign

parallel programming model

parallel computing