World's Best Scientists 2026 revealed!

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Computer Science

D-Index
61
Citations
16222
World Ranking
3049
National Ranking
1491

Overview

Gautam Das is affiliated with The University of Texas at Arlington in the United States. Their research spans multiple disciplines with a primary focus on Computer Science and Medicine. Within these areas, their work has touched on various subfields including Artificial Intelligence, Signal Processing, Information Systems, Computational Theory and Mathematics, and Computer Networks and Communications.

The scientist's work centers on key topics such as Data Management and Algorithms, Data Quality and Management, Obstructive Sleep Apnea Research, Neuroscience of respiration and sleep, Machine Learning and Algorithms, Web Data Mining and Analysis, and Rough Sets and Fuzzy Logic.

Frequent collaborators include Abolfazl Asudeh, Suraj Shetiya, Saravanan Thirumuruganathan, Azade Nazi, and Nick Koudas, reflecting sustained research partnerships in their publications.

The venues in which Gautam Das has published repeatedly are diverse, demonstrating engagement with both contemporary conferences and journals. Regular publication venues include:

  • arXiv (Cornell University)
  • IEEE Consumer Electronics Magazine
  • Proceedings of the VLDB Endowment
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • Proceedings of the International AAAI Conference on Web and Social Media

Notable recent papers authored or co-authored by Gautam Das include:

  • "EasyBand: A Wearable for Safety-Aware Mobility During Pandemic Outbreak" (2020), IEEE Consumer Electronics Magazine
  • "Combining SARS-CoV-2 Proofreading Exonuclease and RNA-Dependent RNA Polymerase Inhibitors as a Strategy to Combat COVID-19: A High-Throughput in silico Screening" (2021), Frontiers in Microbiology
  • "Characterization of nanocellulose production by strains of Komagataeibacter sp. isolated from organic waste and Kombucha" (2021), Carbohydrate Polymers
  • "When Do We Need the Blockchain?" (2020), IEEE Consumer Electronics Magazine
  • "Astrid" (2020), Proceedings of the VLDB Endowment

In addition to articles, Gautam Das has a contribution to book literature, publishing with Springer Nature the book titled "Intelligence Enabled Research" in 2022.

Best Publications

  • DBXplorer: enabling keyword search over relational databases

    Sanjay Agrawal;Surajit Chaudhuri;Gautam Das

  • DBXplorer: a system for keyword-based search over relational databases

    S. Agrawal;S. Chaudhuri;G. Das

  • Rule discovery from time series

    Gautam Das;King-Ip Lin;Heikki Mannila;Gopal Renganathan

  • On sparse spanners of weighted graphs

    Ingo Althöfer;Gautam Das;David Dobkin;Deborah Joseph

  • Group recommendation: semantics and efficiency

    Sihem Amer-Yahia;Senjuti Basu Roy;Ashish Chawlat;Gautam Das

  • Finding Similar Time Series

    Gautam Das;Dimitrios Gunopulos;Heikki Mannila

  • Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems

    Deepak Puthal;Nisha Malik;Saraju P. Mohanty;Elias Kougianos

  • The Discrete Basis Problem

    P. Miettinen;T. Mielikainen;A. Gionis;G. Das

  • NEW SPARSENESS RESULTS ON GRAPH SPANNERS

    Barun Chandra;Gautam Das;Giri Narasimhan;Jose Soares

  • Dynamic sample selection for approximate query processing

    Brian Babcock;Surajit Chaudhuri;Gautam Das

  • Automated Ranking of Database Query Results

    Sanjay Agrawal;Surajit Chaudhuri;Gautam Das;Aristides Gionis

  • Optimized stratified sampling for approximate query processing

    Surajit Chaudhuri;Gautam Das;Vivek Narasayya

  • Planar Spanners and Approximate Shortest Path Queries among Obstacles in the Plane

    Srinivasa Rao Arikati;Danny Z. Chen;L. Paul Chew;Gautam Das

  • Euclidean spanners: short, thin, and lanky

    Sunil Arya;Gautam Das;David M. Mount;Jeffrey S. Salowe

  • Answering top-k queries using views

    Gautam Das;Dimitrios Gunopulos;Nick Koudas;Dimitris Tsirogiannis

  • Mining Time Series Data

    Chotirat Ann Ratanamahatana;Jessica Lin;Dimitrios Gunopulos;Eamonn J. Keogh

  • Overcoming limitations of sampling for aggregation queries

    S. Chaudhuri;G. Das;M. Datar;R. Motwani

  • A fast algorithm for constructing sparse euclidean spanners

    Gautam Das;Giri Narasimhan

  • The Move-Split-Merge Metric for Time Series

    Alexandra Stefan;Vassilis Athitsos;Gautam Das

  • Time-series similarity problems and well-separated geometric sets

    Béla Bollobás;Gautam Das;Dimitrios Gunopulos;Heikki Mannila

  • Probabilistic ranking of database query results

    Surajit Chaudhuri;Gautam Das;Vagelis Hristidis;Gerhard Weikum

Frequent Co-Authors

Nick Koudas
Nick Koudas University of Toronto
Sihem Amer-Yahia
Sihem Amer-Yahia Grenoble Alpes University
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Vagelis Hristidis
Vagelis Hristidis University of California, Riverside
Heikki Mannila
Heikki Mannila Aalto University
Cong Yu
Cong Yu Google (United States)
Michiel Smid
Michiel Smid Carleton University
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Aristides Gionis
Aristides Gionis Royal Institute of Technology

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