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D-Index & Metrics

Computer Science

D-Index
35
Citations
5364
World Ranking
11685
National Ranking
4788

Research.com Recognitions

  • 2019 - ACM Distinguished Member
  • 2013 - ACM Senior Member

Overview

Manu Sridharan is affiliated with the University of California, Riverside in the United States. Their research spans multiple areas within computer science, with a focus on software and its performance and reliability aspects.

The main fields of study addressed in their work include:

  • Computer Science

More specifically, their research covers several subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Biomedical Engineering
  • Hardware and Architecture

Central topics in their publications include:

  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Advanced Malware Detection Techniques
  • Advanced Database Systems and Queries
  • Semantic Web and Ontologies
  • Security and Verification in Computing
  • Parallel Computing and Optimization Techniques

Their recent papers demonstrate a range of interests in software systems and programming languages, including:

  • LiveDroid: identifying and preserving mobile app state in volatile runtime environments (2020), published in Proceedings of the ACM on Programming Languages
  • Multiparty Languages: The Choreographic and Multitier Cases (2021), published in Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • Multi-Objective Design Automation for Microfluidic Capture Chips (2022), published in IEEE Transactions on NanoBioscience
  • Interactive Abstract Interpretation with Demanded Summarization (2024), published in ACM Transactions on Programming Languages and Systems
  • Automatic Root Cause Quantification for Missing Edges in JavaScript Call Graphs (Extended Version) (2022), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Manu Sridharan has frequently published in venues including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Proceedings of the ACM on Programming Languages
  • arXiv (Cornell University)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)

Frequent collaborators in their research output include:

  • Martin Kellogg
  • Michael D. Ernst
  • Narges Shadab
  • Pritam Gharat
  • Shuvendu K. Lahiri

Recognition for their work includes the following awards:

  • ACM Distinguished Member (2019)
  • ACM Senior Member (2013)

Best Publications

  • Efficient and precise datarace detection for multithreaded object-oriented programs

    Jong-Deok Choi;Keunwoo Lee;Alexey Loginov;Robert O'Callahan

  • TAJ: effective taint analysis of web applications

    Omer Tripp;Marco Pistoia;Stephen J. Fink;Manu Sridharan

  • Refinement-based context-sensitive points-to analysis for Java

    Manu Sridharan;Rastislav Bodík

  • Thin slicing

    Manu Sridharan;Stephen J. Fink;Rastislav Bodik

  • In defense of soundiness: a manifesto

    Benjamin Livshits;Manu Sridharan;Yannis Smaragdakis;Ondřej Lhoták

  • Demand-driven points-to analysis for Java

    Manu Sridharan;Denis Gopan;Lexin Shan;Rastislav Bodík

  • A micromodularity mechanism

    Daniel Jackson;Ilya Shlyakhter;Manu Sridharan

  • Snugglebug: a powerful approach to weakest preconditions

    Satish Chandra;Stephen J. Fink;Manu Sridharan

  • PSE: explaining program failures via postmortem static analysis

    Roman Manevich;Manu Sridharan;Stephen Adams;Manuvir Das

  • Correlation tracking for points-to analysis of javascript

    Manu Sridharan;Julian Dolby;Satish Chandra;Max Schäfer

  • Effective race detection for event-driven programs

    Veselin Raychev;Martin Vechev;Manu Sridharan

  • Method and apparatus for efficient and precise datarace detection for multithreaded object-oriented programs

    Jong-Deok Choi;Keunwoo Lee;Robert W. O'Callahan;Vivek Sarkar

  • Efficient construction of approximate call graphs for JavaScript IDE services

    Asger Feldthaus;Max Schafer;Manu Sridharan;Julian Dolby

  • Alias analysis for object-oriented programs

    Manu Sridharan;Satish Chandra;Julian Dolby;Stephen J. Fink

  • Race detection for web applications

    Boris Petrov;Martin Vechev;Manu Sridharan;Julian Dolby

  • F4F: taint analysis of framework-based web applications

    Manu Sridharan;Shay Artzi;Marco Pistoia;Salvatore Guarnieri

  • Scaling CFL-Reachability-Based Points-To Analysis Using Context-Sensitive Must-Not-Alias Analysis

    Guoqing Xu;Atanas Rountev;Manu Sridharan

  • Refactoring for reentrancy

    Jan Wloka;Manu Sridharan;Frank Tip

  • Debugging overconstrained declarative models using unsatisfiable cores

    Ilya Shlyakhter;Robert Seater;Daniel Jackson;Manu Sridharan

  • Dynamic determinacy analysis

    Max Schäfer;Manu Sridharan;Julian Dolby;Frank Tip

Frequent Co-Authors

Satish Chandra
Satish Chandra Association for Computing Machinery
Frank Tip
Frank Tip Northeastern University
Julian Dolby
Julian Dolby IBM (United States)
Stephen J. Fink
Stephen J. Fink Facebook (United States)
Marco Pistoia
Marco Pistoia JPMorgan Chase & Co (United States)
Koushik Sen
Koushik Sen University of California, Berkeley
Jong-Deok Choi
Jong-Deok Choi Samsung (South Korea)
Martin Vechev
Martin Vechev ETH Zurich
Rastislav Bodik
Rastislav Bodik University of Washington
Michael D. Ernst
Michael D. Ernst University of Washington

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