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Venkata N. Padmanabhan

Venkata N. Padmanabhan

D-Index & Metrics

Computer Science

D-Index
73
Citations
43965
World Ranking
1538
National Ranking
798

Research.com Recognitions

  • 2016 - ACM Fellow For research contributions and professional leadership in networked and mobile computing systems.
  • 2009 - ACM Distinguished Member

Overview

Venkata N. Padmanabhan is affiliated with Microsoft in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a substantial focus on Computer Networks and Communications, Computer Vision and Pattern Recognition, and Artificial Intelligence.

The scientist's work covers several specific research topics, including:

  • Network Traffic and Congestion Control
  • Traffic Prediction and Management Techniques
  • Autonomous Vehicle Technology and Safety
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Personal Information Management and User Behavior
  • Usability and User Interface Design

Venkata N. Padmanabhan has contributed to a number of papers in recognized venues, including:

  • "Driving Lane Detection on Smartphones using Deep Neural Networks" (2020), published in ACM Transactions on Sensor Networks
  • "HyWay" (2023), published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Data-Driven Network Path Simulation with iBox" (2022), published in Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • "On viewing SpaceX Starlink through the Social Media Lens" (2023), published in arXiv (Cornell University)
  • "Saving Private WAN: Using Internet Paths to Offload WAN Traffic in Conferencing Services" (2024), published in Proceedings of the ACM on Networking

The scientist has published most frequently in the following venues:

  • arXiv (Cornell University)
  • ACM Transactions on Sensor Networks
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • Proceedings of the ACM on Networking

Key collaborators in their work include Debopam Bhattacherjee, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, and Sachin Ashok. The frequency of collaboration varies from two to four joint contributions.

Venkata N. Padmanabhan has received recognition including the ACM Fellow award in 2016 for research contributions and professional leadership in networked and mobile computing systems, as well as being named an ACM Distinguished Member in 2009.

Best Publications

  • RADAR: an in-building RF-based user location and tracking system

    P. Bahl;V.N. Padmanabhan

  • A comparison of mechanisms for improving TCP performance over wireless links

    Hari Balakrishnan;Venkata N. Padmanabhan;Srinivasan Seshan;Randy H. Katz

  • Impact of interference on multi-hop wireless network performance

    Kamal Jain;Jitendra Padhye;Venkata N. Padmanabhan;Lili Qiu

  • Nericell: rich monitoring of road and traffic conditions using mobile smartphones

    Prashanth Mohan;Venkata N. Padmanabhan;Ramachandran Ramjee

  • Zee: zero-effort crowdsourcing for indoor localization

    Anshul Rai;Krishna Kant Chintalapudi;Venkata N. Padmanabhan;Rijurekha Sen

  • Distributing streaming media content using cooperative networking

    Venkata N. Padmanabhan;Helen J. Wang;Philip A. Chou;Kunwadee Sripanidkulchai

  • Indoor localization without the pain

    Krishna Chintalapudi;Anand Padmanabha Iyer;Venkata N. Padmanabhan

  • On the placement of Web server replicas

    Lili Qiu;V.N. Padmanabhan;G.M. Voelker

  • Using predictive prefetching to improve World Wide Web latency

    Venkata N. Padmanabhan;Jeffrey C. Mogul

  • Enhancements to the RADAR User Location and Tracking System

    Victor Bahl;Venkat Padmanabhan

  • Analyzing and Improving BitTorrent Performance

    Ashwin R. Bharambe;Cormac Herley;Venkata N. Padmanabhan

  • An investigation of geographic mapping techniques for internet hosts

    Venkata N. Padmanabhan;Lakshminarayanan Subramanian

  • Resilient peer-to-peer streaming

    V.N. Padmanabhan;H.J. Wang;P.A. Chou

  • Analyzing and Improving a BitTorrent Networks Performance Mechanisms

    A. R. Bharambe;C. Herley;V. N. Padmanabhan

  • Statistical identification of encrypted Web browsing traffic

    Qixiang Sun;D.R. Simon;Yi-Min Wang;W. Russell

  • Improving HTTP latency

    Venkata N. Padmanabhan;Jeffrey C. Mogul

  • Estimation of link interference in static multi-hop wireless networks

    Jitendra Padhye;Sharad Agarwal;Venkata N. Padmanabhan;Lili Qiu

  • Landmark-based location of users

    Venkata N. Padmanabhan

  • PRISM: platform for remote sensing using smartphones

    Tathagata Das;Prashanth Mohan;Venkata N. Padmanabhan;Ramachandran Ramjee

  • TCP behavior of a busy Internet server: analysis and improvements

    H. Balakrishnan;V.N. Padmanabhan;S. Seshan;M. Stemm

Frequent Co-Authors

Ramachandran Ramjee
Ramachandran Ramjee Microsoft (United States)
Lili Qiu
Lili Qiu The University of Texas at Austin
Randy H. Katz
Randy H. Katz University of California, Berkeley
Jitendra Padhye
Jitendra Padhye Microsoft (United States)
Sharad Agarwal
Sharad Agarwal Microsoft (United States)
Philip A. Chou
Philip A. Chou Google (United States)
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Helen J. Wang
Helen J. Wang Microsoft (United States)
Ranveer Chandra
Ranveer Chandra Microsoft (United States)

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