World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12685
World Ranking
4294
National Ranking
2021

Research.com Recognitions

  • 2016 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Suman Nath is affiliated with Microsoft in the United States. Their research spans multiple areas within computer science, with a particular focus on software system performance and reliability as well as software testing and debugging techniques. Nath's work also intersects with political science and sociology, exploring themes such as political conflict, governance, and religion and development.

The scientist's notable recent publications include:

  • Political campaigning in West Bengal: violence, professionalisation, and communalisation, 2022, published in South Asian History and Culture
  • Party-people and local governance in an Indian state: a longitudinal study on the roots of electoral violence, 2020, published in India Review

While Nath has contributed to interdisciplinary areas involving political science, most of their publication record lies within computer science fields.

Main fields of study covered by their research are:

  • Computer Science

Subfields of study include:

  • Computer Networks and Communications
  • Information Systems
  • Software
  • Political Science and International Relations
  • Sociology and Political Science

Several topics frequently addressed in their body of work are:

  • Software System Performance and Reliability
  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Advanced Malware Detection Techniques
  • Politics and Conflicts in Afghanistan, Pakistan, and Middle East
  • Political Conflict and Governance
  • Religion, Society, and Development

Suman Nath has collaborated recurrently with various co-authors, including:

  • Chetan Bansal
  • Tanakorn Leesatapornwongsa
  • Subhasish Ray
  • Manish Shetty
  • Sean Bowles

Some of Nath's work appears alongside these collaborators in venues such as the Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, and the Proceedings of the 44th International Conference on Software Engineering.

Selected recent papers involving Nath or their collaborators include:

  • FlakeRepro: automated and efficient reproduction of concurrency-related flaky tests, 2022, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • DeepAnalyze, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Building AI Agents for Autonomous Clouds: Challenges and Design Principles, 2024, arXiv (Cornell University)

The scientist's publications are frequently found in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • South Asian History and Culture
  • Proceedings of the 44th International Conference on Software Engineering
  • Computer

Suman Nath has been recognized by the Association for Computing Machinery, holding distinctions as an ACM Senior Member since 2011 and an ACM Distinguished Member awarded in 2016.

Best Publications

  • Energy-aware server provisioning and load dispatching for connection-intensive internet services

    Gong Chen;Wenbo He;Jie Liu;Suman Nath

  • Synopsis diffusion for robust aggregation in sensor networks

    Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary Anderson

  • IrisNet: an architecture for a worldwide sensor Web

    P.B. Gibbons;B. Karp;Y. Ke;S. Nath

  • Synopsis diffusion for robust aggregation in sensor networks

    Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary R. Anderson

  • Differentially private aggregation of distributed time-series with transformation and encryption

    Vibhor Rastogi;Suman Nath

  • SenseWeb: An Infrastructure for Shared Sensing

    W.I. Grosky;A. Kansal;S. Nath;Jie Liu

  • PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps

    Shuai Hao;Bin Liu;Suman Nath;William G.J. Halfond

  • Tributaries and deltas: efficient and robust aggregation in sensor network streams

    Amit Manjhi;Suman Nath;Phillip B. Gibbons

  • Associating geographic-related information with objects

    Suman K. Nath

  • FlashDB: dynamic self-tuning database for NAND flash

    Suman Nath;Aman Kansal

  • Rethinking Database Algorithms for Phase Change Memory

    Shimin Chen;Phillip B. Gibbons;Suman Nath

  • ACE: exploiting correlation for energy-efficient and continuous context sensing

    Suman Nath

  • Data Management in the Worldwide Sensor Web

    M. Balazinska;A. Deshpande;M.J. Franklin;P.B. Gibbons

  • Cache-and-query for wide area sensor databases

    Amol Deshpande;Suman Nath;Phillip B. Gibbons;Srinivasan Seshan

  • Fast approximate correlation for massive time-series data

    Abdullah Mueen;Suman Nath;Jie Liu

  • SensorMap for Wide-Area Sensor Webs

    S. Nath;Jie Liu;Feng Zhao

  • IrisNet: an internet-scale architecture for multimedia sensors

    Jason Campbell;Phillip B. Gibbons;Suman Nath;Padmanabhan Pillai

  • DECAF: detecting and characterizing ad fraud in mobile apps

    Bin Liu;Suman Nath;Ramesh Govindan;Jie Liu

  • Brahmastra: driving apps to test the security of third-party components

    Ravi Bhoraskar;Seungyeop Han;Jinseong Jeon;Tanzirul Azim

  • Automatic and scalable fault detection for mobile applications

    Lenin Ravindranath;Suman Nath;Jitendra Padhye;Hari Balakrishnan

Frequent Co-Authors

Jie Liu
Jie Liu Harbin Institute of Technology
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Feng Zhao
Feng Zhao Microsoft (United States)
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Aman Kansal
Aman Kansal Microsoft (United States)
Amol Deshpande
Amol Deshpande University of Maryland, College Park
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Mohamed F. Mokbel
Mohamed F. Mokbel University of Minnesota
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Ranveer Chandra
Ranveer Chandra Microsoft (United States)

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