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Research.com Recognitions

  • 2020 - OSA Fellows Vivek K Goyal Boston University, USA For outstanding inventions in computational imaging and sensing, including unprecedented demonstrations of the utility of weak, mixed, and indirect optical measurements

Overview

Vivek K. Goyal is affiliated with Boston University in the United States. Their research spans the fields of Engineering and Physics and Astronomy, with significant contributions in various subfields including Instrumentation, Structural Biology, Electrical and Electronic Engineering, Surfaces, Coatings and Films, and Acoustics and Ultrasonics.

The scientist's work focuses on several advanced topics, including:

  • Advanced Optical Sensing Technologies
  • Advanced Electron Microscopy Techniques and Applications
  • Electron and X-Ray Spectroscopy Techniques
  • Integrated Circuits and Semiconductor Failure Analysis
  • Random lasers and scattering media
  • Advancements in Photolithography Techniques
  • Remote Sensing and LiDAR Applications

Vivek K. Goyal has published extensively in multiple venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Microscopy and Microanalysis
  • IEEE Transactions on Computational Imaging
  • Conference on Lasers and Electro-Optics
  • Proceedings of the National Academy of Sciences

Selected recent papers illustrating the scope of research include:

  • "Non-line-of-sight imaging over 1.43 km," 2021, Proceedings of the National Academy of Sciences
  • "Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances," 2020, IEEE Signal Processing Magazine
  • "Compressively sampling the optical transmission matrix of a multimode fibre," 2021, Light Science & Applications
  • "High-flux single-photon lidar," 2020, Optica
  • "Source shot noise mitigation in focused ion beam microscopy by time-resolved measurement," 2020, Ultramicroscopy

The scientist has collaborated repeatedly with a group of frequent co-authors, including Minxu Peng, Akshay Agarwal, Joshua Rapp, Sheila W. Seidel, and Christopher Yu.

Vivek K. Goyal's contributions have been recognized by an award as an OSA Fellow in 2020, cited for inventions in computational imaging and sensing, particularly for work involving weak, mixed, and indirect optical measurements.

Best Publications

  • Multiple description coding: compression meets the network

    V.K. Goyal

  • Quantized Frame Expansions with Erasures

    Vivek K. Goyal;Jelena Kovačević;Jonathan A. Kelner

  • Quantized overcomplete expansions in IR/sup N/: analysis, synthesis, and algorithms

    V.K. Goyal;M. Vetterli;N.T. Thao

  • Foundations of Signal Processing

    Martin Vetterli;Jelena Kovačević;Vivek K Goyal

  • First-Photon Imaging

    Ahmed Kirmani;Dheera Venkatraman;Dongeek Shin;Andrea Colaço

  • Theoretical foundations of transform coding

    V.K. Goyal

  • Generalized multiple description coding with correlating transforms

    V.K. Goyal;J. Kovacevic

  • Compressive Sampling and Lossy Compression

    V.K. Goyal;A.K. Fletcher;S. Rangan

  • Photon-efficient imaging with a single-photon camera

    Dongeek Shin;Feihu Xu;Dheera Venkatraman;Rudi Lussana

  • Necessary and Sufficient Conditions for Sparsity Pattern Recovery

    A.K. Fletcher;S. Rangan;V.K. Goyal

  • Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors

    Dongeek Shin;Ahmed Kirmani;Vivek K Goyal;Jeffrey H. Shapiro

  • A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging

    Joshua Rapp;Vivek K Goyal

  • Multiple description transform coding of images

    V.K. Goyal;J. Kovacevic;R. Arean;M. Vetterli

  • Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing

    S. Rangan;A. K. Fletcher;V. K. Goyal

  • Quantum-inspired computational imaging

    Yoann Altmann;Stephen McLaughlin;Miles J. Padgett;Vivek K. Goyal

  • Necessary and Sufficient Conditions on Sparsity Pattern Recovery

    Alyson K. Fletcher;Sundeep Rangan;Vivek K. Goyal

  • Multiple description coding with many channels

    R. Venkataramani;G. Kramer;V.K. Goyal

  • Computational periscopy with an ordinary digital camera

    Charles Saunders;John Murray-Bruce;Vivek K Goyal

  • Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing

    Sundeep Rangan;Vivek Goyal;Alyson K Fletcher

  • Filter bank frame expansions with erasures

    J. Kovacevic;P.L. Dragotti;V.K. Goyal

  • Hybrid Approximate Message Passing

    Sundeep Rangan;Alyson K. Fletcher;Vivek K. Goyal;Evan Byrne

Frequent Co-Authors

Sundeep Rangan
Sundeep Rangan New York University
Lav R. Varshney
Lav R. Varshney University of Illinois at Urbana-Champaign
Alyson K. Fletcher
Alyson K. Fletcher University of California, Los Angeles
Jelena Kovacevic
Jelena Kovacevic New York University
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Lawrence L. Wald
Lawrence L. Wald Harvard University
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley

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