World's Best Scientists 2026 revealed!
Martin Rinard

Martin Rinard

D-Index & Metrics

Computer Science

D-Index
76
Citations
22056
World Ranking
1347
National Ranking
706

Research.com Recognitions

  • 2009 - ACM Fellow For his contributions to program analysis for parallel computing and techniques for enabling software systems to execute successfully in the face of errors and failures.
  • 1995 - Fellow of Alfred P. Sloan Foundation

Overview

Martin Rinard is affiliated with MIT in the United States and has an extensive record in computer science research, with a particular focus on artificial intelligence, economics and econometrics, management science and operations research, hardware and architecture, and computational theory and mathematics. Their work spans diverse areas with a concentration on formal methods in verification, machine learning and algorithms, and parallel computing and optimization techniques.

The scientist's research topics include:

  • Game Theory and Applications
  • Parallel Computing and Optimization Techniques
  • Formal Methods in Verification
  • Machine Learning and Algorithms
  • Adversarial Robustness in Machine Learning
  • Game Theory and Voting Systems
  • Pancreatic and Hepatic Oncology Research

Frequent co-authors in their research collaborations include Kai Jia, Limor Appelbaum, José Cambronero, Irving Kaplan, and Yichen Yang.

Their publication venues are varied but prominently feature the following journals and conferences:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • Zenodo (CERN European Organization for Nuclear Research)
  • Lecture Notes in Computer Science
  • Journal of Clinical Oncology

Some of Martin Rinard's recent papers include:

  • "Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study" (2020, European Journal of Cancer)
  • "A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data" (2023, EBioMedicine)
  • "Efficient Exact Verification of Binarized Neural Networks" (2020, arXiv (Cornell University))
  • "Doing more with less" (2021, Proceedings of the VLDB Endowment)
  • "Warp: A Hardware Platform for Efficient Multimodal Sensing With Adaptive Approximation" (2020, IEEE Micro)

Throughout their career, Martin Rinard has been recognized with notable awards such as:

  • ACM Fellow, 2009, for contributions to program analysis for parallel computing and techniques enabling software systems to execute successfully despite errors and failures
  • Fellow of Alfred P. Sloan Foundation, 1995

Best Publications

  • Concurrent constraint programming

    Vijay A. Saraswat;Martin Rinard

  • Ownership types for safe programming: preventing data races and deadlocks

    Chandrasekhar Boyapati;Robert Lee;Martin Rinard

  • Managing performance vs. accuracy trade-offs with loop perforation

    Stelios Sidiroglou-Douskos;Sasa Misailovic;Henry Hoffmann;Martin Rinard

  • The semantic foundations of concurrent constraint programming

    Vijay A. Saraswat;Martin Rinard;Prakash Panangaden

  • Automatic patch generation by learning correct code

    Fan Long;Martin Rinard

  • Information-Flow Analysis of Android Applications in DroidSafe

    Michael I. Gordon;Deokhwan Kim;Jeff H. Perkins;Limei Gilham

  • Compositional pointer and escape analysis for Java programs

    John Whaley;Martin Rinard

  • Automatically patching errors in deployed software

    Jeff H. Perkins;Sunghun Kim;Sam Larsen;Saman Amarasinghe

  • An analysis of patch plausibility and correctness for generate-and-validate patch generation systems

    Zichao Qi;Fan Long;Sara Achour;Martin Rinard

  • Enhancing server availability and security through failure-oblivious computing

    Martin Rinard;Cristian Cadar;Daniel Dumitran;Daniel M. Roy

  • Taint-based directed whitebox fuzzing

    Vijay Ganesh;Tim Leek;Martin Rinard

  • Dynamic knobs for responsive power-aware computing

    Henry Hoffmann;Stelios Sidiroglou;Michael Carbin;Sasa Misailovic

  • Staged program repair with condition synthesis

    Fan Long;Martin Rinard

  • A parameterized type system for race-free Java programs

    Chandrasekhar Boyapati;Martin Rinard

  • Verifying quantitative reliability for programs that execute on unreliable hardware

    Michael Carbin;Sasa Misailovic;Martin C. Rinard

  • Verifying quantitative reliability for programs that execute on unreliable hardware

    Michael Carbin;Sasa Misailovic;Martin C. Rinard

  • Automatic detection and repair of errors in data structures

    Brian Demsky;Martin Rinard

  • Jade: a high-level, machine-independent language for parallel programming

    M.C. Rinard;D.J. Scales;M.S. Lam

  • Quality of service profiling

    Sasa Misailovic;Stelios Sidiroglou;Henry Hoffmann;Martin Rinard

  • Control Jujutsu: On the Weaknesses of Fine-Grained Control Flow Integrity

    Isaac Evans;Fan Long;Ulziibayar Otgonbaatar;Howard Shrobe

  • An Analysis of Patch Plausibility and Correctness for Generate-And-Validate Patch Generation Systems (Supplementary Material)

    Zichao Qi;Fan Long;Sara Achour;Martin Rinard

Frequent Co-Authors

Viktor Kuncak
Viktor Kuncak École Polytechnique Fédérale de Lausanne
Alex Aiken
Alex Aiken Stanford University
Mooly Sagiv
Mooly Sagiv Tel Aviv University
Monica S. Lam
Monica S. Lam Stanford University
Henry Hoffmann
Henry Hoffmann University of Chicago
Darko Marinov
Darko Marinov University of Illinois at Urbana-Champaign
Michael D. Ernst
Michael D. Ernst University of Washington

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a wide range of online degrees and evolving careers. For students aiming to future-proof their education, consider researching the best majors for the future. Fields like computer science, data analytics, and cybersecurity consistently rank high for demand and long-term career growth.

If you’re considering advancing your credentials, there are easy masters programs to get into that still offer quality education and flexibility for working professionals. Those looking for an affordable route to the highest academic achievement should explore a cheap doctorate degree online. These programs help reduce student debt while expanding your career options.

For educators or professionals aiming to specialize in education and leadership, the cheapest edd programs online offer fast-track options. With so many flexible online pathways, it’s easier than ever to tailor your studies in computer science or related fields to match your career goals.

Best Scientists Citing Martin Rinard

Trending Scientists

Recently Published Articles