World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
33863
World Ranking
3319
National Ranking
1608

Electronics and Electrical Engineering

D-Index
56
Citations
32630
World Ranking
2020
National Ranking
792

Overview

Philip Levis is affiliated with Stanford University in the United States and primarily works in the field of Computer Science. Their research spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry, and Automotive Engineering.

Their recent publications cover a variety of topics and venues. Notable recent papers include:

  • GRIP: A Graph Neural Network Accelerator Architecture, 2022, IEEE Transactions on Computers
  • GRIP: A Graph Neural Network Accelerator Architecture, 2020, arXiv (Cornell University)
  • Towards retina-quality VR video streaming, 2022, ACM SIGCOMM Computer Communication Review
  • Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning, 2020, ACM Transactions on Embedded Computing Systems
  • Receiving Colliding LoRa Packets with Hard Information Iterative Decoding, 2021, 2021 IEEE Global Communications Conference (GLOBECOM)

The topics covered in their research include Visual Attention and Saliency Detection, Image and Video Quality Assessment, Advanced Graph Neural Networks, Machine Learning in Materials Science, Graph Theory and Algorithms, Advanced Battery Technologies Research, and Retinal Imaging and Analysis.

Frequent co-authors collaborating with Philip Levis are:

  • Luke Hsiao
  • Christopher Ré
  • Brooke Krajancich
  • Gordon Wetzstein
  • Keith Winstein

They have published predominantly in the following venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Computers
  • ACM SIGCOMM Computer Communication Review
  • 2021 IEEE Global Communications Conference (GLOBECOM)

These publications illustrate a strong engagement with emerging technologies such as graph neural networks, virtual reality video streaming, embedded computing systems, and wireless communication protocols.

Best Publications

  • TOSSIM: accurate and scalable simulation of entire TinyOS applications

    Philip Levis;Nelson Lee;Matt Welsh;David Culler

  • The nesC language: a holistic approach to networked embedded systems

    Philip Levis;Robert von Behren;Matt Welsh

  • TinyOS: An Operating System for Sensor Networks

    Philip Alexander Levis;Samuel Madden;Joseph Polastre;Robert Szewczyk

  • Achieving single channel, full duplex wireless communication

    Jung Il Choi;Mayank Jain;Kannan Srinivasan;Phil Levis

  • Collection tree protocol

    Omprakash Gnawali;Rodrigo Fonseca;Kyle Jamieson;David Moss

  • Practical, real-time, full duplex wireless

    Mayank Jain;Jung Il Choi;Taemin Kim;Dinesh Bharadia

  • The nesC language: A holistic approach to networked embedded systems

    Unknown

  • Maté: a tiny virtual machine for sensor networks

    Philip Levis;David Culler

  • Trickle: a self-regulating algorithm for code propagation and maintenance in wireless sensor networks

    Philip Levis;Neil Patel;David Culler;Scott Shenker

  • Single channel full duplex wireless communications

    Mayank Jain;Jung Il Choi;Kannan Srinivasan;Philip Levis

  • Applications of self-interference cancellation in 5G and beyond

    Steven Hong;Joel Brand;Jung Choi;Mayank Jain

  • A high-resolution human contact network for infectious disease transmission

    Marcel Salathé;Maria Kazandjieva;Jung Woo Lee;Philip Levis

  • The Trickle Algorithm

    Philip Levis;Thomas Heide Clausen

  • The emergence of networking abstractions and techniques in TinyOS

    Philip Levis;Sam Madden;Joseph Polastre

  • TinyOS Programming

    Philip Levis

  • Four-Bit Wireless Link Estimation.

    Rodrigo Fonseca;Omprakash Gnawali;Kyle Jamieson;Philip Alexander Levis

  • An empirical study of low-power wireless

    Kannan Srinivasan;Prabal Dutta;Arsalan Tavakoli;Philip Levis

  • The β-factor: measuring wireless link burstiness

    Kannan Srinivasan;Maria A. Kazandjieva;Saatvik Agarwal;Philip Levis

  • Policies for dynamic clock scheduling

    Dirk Grunwald;Charles B. Morrey;Philip Levis;Michael Neufeld

  • A unifying link abstraction for wireless sensor networks

    Joseph Polastre;Jonathan Hui;Philip Levis;Jerry Zhao

  • OpenRadio: a programmable wireless dataplane

    Manu Bansal;Jeffrey Mehlman;Sachin Katti;Philip Levis

Frequent Co-Authors

David E. Culler
David E. Culler University of California, Berkeley
Prabal Dutta
Prabal Dutta University of California, Berkeley
Sachin Katti
Sachin Katti Stanford University
Scott Shenker
Scott Shenker University of California, Berkeley
Omprakash Gnawali
Omprakash Gnawali University of Houston
Rodrigo Fonseca
Rodrigo Fonseca Brown University
Peter Bailis
Peter Bailis Stanford University
David Mazières
David Mazières Stanford University

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