World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
88
Citations
63498
World Ranking
655
National Ranking
347

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to data mining and data management systems
  • 2014 - ACM Fellow For his contributions to data mining and data stream query processing.
  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Johannes Gehrke is a researcher affiliated with Microsoft in the United States. Their work primarily spans the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research, Industrial and Manufacturing Engineering, and Communication.

The main research topics covered by Johannes Gehrke include Distributed Systems and Fault Tolerance, Advanced Database Systems and Queries, Machine Learning and Data Classification, Advanced Data Storage Technologies, Big Data and Business Intelligence, Speech and Audio Processing, and Hearing Loss and Rehabilitation.

Frequent collaborators in their research include Ross Cutler, Vishak Gopal, Ashkan Aazami, Robert Aichner, and Surajit Chaudhuri.

Johannes Gehrke has published extensively in various venues. The prevalent ones among these include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • ACM SIGMOD Record
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the Annual Hawaii International Conference on System Sciences

Selected recent papers authored or coauthored by Johannes Gehrke include:

  • "Sparks of Artificial General Intelligence: Early experiments with GPT-4" (2023), arXiv (Cornell University)
  • "The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework" (2020), arXiv (Cornell University)
  • "DSB" (2021), Proceedings of the VLDB Endowment
  • "Meeting Effectiveness and Inclusiveness in Remote Collaboration" (2021), Proceedings of the ACM on Human-Computer Interaction
  • "Design and Implementation of Hierarchical Digital Twins in Industrial Production Environments" (2023), Proceedings of the Annual Hawaii International Conference on System Sciences

The researcher has received several distinctions, including being named IEEE Fellow in 2020 for contributions to data mining and data management systems. They were also named ACM Fellow in 2014 for contributions to data mining and data stream query processing, and recognized as a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • L-diversity: Privacy beyond k-anonymity

    Ashwin Machanavajjhala;Daniel Kifer;Johannes Gehrke;Muthuramakrishnan Venkitasubramaniam

  • L-diversity: privacy beyond k-anonymity

    A. Machanavajjhala;J. Gehrke;D. Kifer;M. Venkitasubramaniam

  • Automatic subspace clustering of high dimensional data for data mining applications

    Rakesh Agrawal;Johannes Gehrke;Dimitrios Gunopulos;Prabhakar Raghavan

  • Database Management Systems

    Raghu Ramakrishnan;Johannes Gehrke

  • The cougar approach to in-network query processing in sensor networks

    Yong Yao;Johannes Gehrke

  • Gossip-based computation of aggregate information

    D. Kempe;A. Dobra;J. Gehrke

  • Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

    Rich Caruana;Yin Lou;Johannes Gehrke;Paul Koch

  • MAFIA: a maximal frequent itemset algorithm for transactional databases

    D. Burdick;M. Calimlim;J. Gehrke

  • Sequential PAttern mining using a bitmap representation

    Jay Ayres;Jason Flannick;Johannes Gehrke;Tomi Yiu

  • Big data and its technical challenges

    H. V. Jagadish;Johannes Gehrke;Alexandros Labrinidis;Yannis Papakonstantinou

  • Scaling mining algorithms to large databases

    Paul Bradley;Johannes Gehrke;Raghu Ramakrishnan;Ramakrishnan Srikant

  • Towards Sensor Database Systems

    Philippe Bonnet;Johannes Gehrke;Praveen Seshadri

  • Privacy preserving mining of association rules

    Alexandre Evfimievski;Ramakrishnan Srikant;Rakesh Agrawal;Johannes Gehrke

  • Detecting change in data streams

    Daniel Kifer;Shai Ben-David;Johannes Gehrke

  • Limiting privacy breaches in privacy preserving data mining

    Alexandre Evfimievski;Johannes Gehrke;Ramakrishnan Srikant

  • Query Processing in Sensor Networks.

    Yong Yao;Johannes Gehrke

  • Querying the physical world

    P. Bonnet;J. Gehrke;P. Seshadri

  • CACTUS—clustering categorical data using summaries

    Venkatesh Ganti;Johannes Gehrke;Raghu Ramakrishnan

  • Privacy: Theory meets Practice on the Map

    Unknown

  • Cayuga: A General Purpose Event Monitoring System.

    Alan J. Demers;Johannes Gehrke;Biswanath Panda;Mirek Riedewald

  • Query Processing for Sensor Networks

    Yong Yao;Johannes Gehrke

  • Classification and Regression Trees

    Johannes Gehrke

Frequent Co-Authors

Alan Demers
Alan Demers Cornell University
Ashwin Machanavajjhala
Ashwin Machanavajjhala Duke University
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Christoph Koch
Christoph Koch École Polytechnique Fédérale de Lausanne
Jayavel Shanmugasundaram
Jayavel Shanmugasundaram Yahoo (United States)
Daniel Kifer
Daniel Kifer Pennsylvania State University
Minos Garofalakis
Minos Garofalakis Technical University of Crete
Rajmohan Rajaraman
Rajmohan Rajaraman Northeastern University
Donald Kossmann
Donald Kossmann Microsoft (United States)
Rajeev Rastogi
Rajeev Rastogi Amazon (United States)

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