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Ramesh Raskar

Ramesh Raskar

D-Index & Metrics

Computer Science

D-Index
105
Citations
47378
World Ranking
285
National Ranking
156

Research.com Recognitions

  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Ramesh Raskar is affiliated with MIT in the United States and has a significant record of research contributions primarily in the field of Computer Science. Their research output includes 161 publications, with a focus on various subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases, Information Systems, and Radiology, Nuclear Medicine and Imaging.

Their work extensively covers topics related to Privacy-Preserving Technologies in Data, Cryptography and Data Security, COVID-19 Digital Contact Tracing, Adversarial Robustness in Machine Learning, COVID-19 epidemiological studies, Advanced Optical Sensing Technologies, and Stochastic Gradient Optimization Techniques.

Ramesh Raskar has contributed to multiple research venues, frequently publishing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mayo Clinic Proceedings
  • Journal of Behavioral Data Science
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Significant recent papers authored or co-authored include:

  • Advances and Open Problems in Federated Learning, 2020, Foundations and Trends® in Machine Learning
  • FedML: A Research Library and Benchmark for Federated Machine Learning, 2020, arXiv (Cornell University)
  • On Unlimited Sampling and Reconstruction, 2020, IEEE Transactions on Signal Processing
  • Privacy in Deep Learning: A Survey, 2020, arXiv (Cornell University)
  • Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study, 2021, BMJ

Frequent co-authors collaborating with Ramesh Raskar include Praneeth Vepakomma, Ayush Chopra, Abhishek Singh, Sheshank Shankar, and Rohan Sukumaran. Their collaboration counts range from 14 to 36 joint publications.

Ramesh Raskar has also been recognized as a Fellow of the Alfred P. Sloan Foundation in 2009.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Spatial Augmented Reality: Merging Real and Virtual Worlds

    Oliver Bimber;Ramesh Raskar

  • Image-based visual hulls

    Wojciech Matusik;Chris Buehler;Ramesh Raskar;Steven J. Gortler

  • The office of the future: a unified approach to image-based modeling and spatially immersive displays

    Ramesh Raskar;Greg Welch;Matt Cutts;Adam Lake

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

    Ilke Demir;Krzysztof Koperski;David Lindenbaum;Guan Pang

  • Designing Neural Network Architectures using Reinforcement Learning

    Bowen Baker;Otkrist Gupta;Nikhil Naik;Ramesh Raskar

  • Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy

    Robert Prevedel;Young-Gyu Yoon;Maximilian Hoffmann;Maximilian Hoffmann;Maximilian Hoffmann;Nikita Pak

  • Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging.

    Andreas Velten;Thomas Willwacher;Otkrist Gupta;Ashok Veeraraghavan

  • Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing

    Ashok Veeraraghavan;Ramesh Raskar;Amit Agrawal;Ankit Mohan

  • Coded exposure photography: motion deblurring using fluttered shutter

    Ramesh Raskar;Amit Agrawal;Jack Tumblin

  • Fast separation of direct and global components of a scene using high frequency illumination

    Shree K. Nayar;Gurunandan Krishnan;Michael D. Grossberg;Ramesh Raskar

  • Shader Lamps: Animating Real Objects with Image-Based Illumination

    Ramesh Raskar;Greg Welch;Kok-Lim Low;Deepak Bandyopadhyay

  • Active Printed Materials for Complex Self-Evolving Deformations

    Dan Raviv;Wei Zhao;Carrie McKnelly;Athina Papadopoulou

  • Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting

    Gordon Wetzstein;Douglas Lanman;Matthew Hirsch;Ramesh Raskar

  • iLamps: geometrically aware and self-configuring projectors

    Ramesh Raskar;Jeroen van Baar;Paul Beardsley;Thomas Willwacher

  • Distributed learning of deep neural network over multiple agents

    Otkrist Gupta;Ramesh Raskar

  • Multi-projector displays using camera-based registration

    R. Raskar;M.S. Brown;Ruigang Yang;Wei-Chao Chen

  • Deep Learning the City: Quantifying Urban Perception at a Global Scale

    Abhimanyu Dubey;Nikhil Naik;Devi Parikh;Ramesh Raskar

  • Streetscore -- Predicting the Perceived Safety of One Million Streetscapes

    Nikhil Naik;Jade Philipoom;Ramesh Raskar;César Hidalgo

  • FedML: A Research Library and Benchmark for Federated Machine Learning

    Chaoyang He;Songze Li;Jinhyun So;Mi Zhang

  • Split learning for health: Distributed deep learning without sharing raw patient data

    Praneeth Vepakomma;Otkrist Gupta;Tristan Swedish;Ramesh Raskar

Frequent Co-Authors

Gordon Wetzstein
Gordon Wetzstein Stanford University
Paul Beardsley
Paul Beardsley Weta Digital
Boxin Shi
Boxin Shi Peking University
Paul Henry Dietz
Paul Henry Dietz Misapplied Sciences, Inc.
Oliver Bimber
Oliver Bimber Johannes Kepler University of Linz
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Rogerio Feris
Rogerio Feris IBM (United States)
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Jingyi Yu
Jingyi Yu ShanghaiTech University

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