Joshua Rapp

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About

I am currently a Principal Research Scientist at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA. I received my Ph.D. in electrical engineering from Boston University in 2020, during which I was supported by a Draper Fellowship. Following my PhD, I was a postdoctoral researcher at Stanford University.

My research lies at the intersection of optics, electronics, signal processing, mathematical modeling, and computer vision. A large emphasis of my work is in improving 3D reconstruction methods, including single-photon lidar, FMCW lidar, optical coherence tomography, radiation source localization, and seeing around corners.

News

December 2021

🏆 I'm honored to have won the 2021 Best PhD Dissertation Award from the IEEE Signal Processing Society! The award will officially be presented at ICASSP 2022 in Singapore.

July 2021

🎤 Invited talk for UCLA's Warren Grundfest Lecture in Computational Imaging: "One photon at a time: Compensating for non-ideal electronics in lidar imaging"

June 2021

💼 I've started a new position as a Research Scientist on the Computational Sensing team at Mitsubishi Electric Research Laboratories.

January 2021

📄 High-Flux Single-Photon Lidar appears in Optica, demonstrating how Markov chain modeling can mitigate dead times in both single-photon detectors and timing electronics.

December 2020

🏆 I'm thrilled to have my 2017 paper "A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging" selected for the 2020 IEEE Signal Processing Society Young Author Best Paper Award! The award will be officially presented at ICASSP 2021 in Toronto.

November 2020

📄 Seeing Around Corners with Edge-Resolved Transient Imaging published in Nature Communications!

📄 Dithered depth imaging, describing how depth resolution can be improved in quantization-limited time-of-flight systems, is published in the "3D Image Acquisition and Display: Technology, Perception and Applications" feature issue of Optics Express.

July 2020

📄 Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances published in IEEE Signal Processing Magazine

May 2020

🏆 My PhD dissertation won the Outstanding Dissertation Award - Electrical Engineering from the BU ECE Department

January 2020

💼 Started a postdoc at Stanford in the Computational Imaging Lab

🎓 Officially graduated with my PhD in Electrical Engineering from Boston University

July 2019

📄 Excited to have two papers published in the same issue of IEEE Transactions on Signal Processing: Estimation From Quantized Gaussian Measurements: When and How to Use Dither and Dead Time Compensation for High-Flux Ranging

October 2018

🏆 Won a Best Student Paper Award at ICIP 2018 for a paper on dither in lidar systems

September 2017

📄 Paper on single-photon lidar in high ambient light published in IEEE Transactions on Computational Imaging: A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging

Education & Training

Stanford University

Postdoctoral Researcher, Electrical Engineering

2020 - 2021

Boston University

Ph.D., Electrical Engineering

Dissertation: Probabilistic Modeling for Single-Photon Lidar

2014 - 2020

Tufts University

B.S., Electrical Engineering

2010 - 2014

Press

Feb. 2022: Joshua Rapp wins 2021 IEEE Signal Processing Society Best Ph.D. Dissertation Award, BU Center for Information & Systems Engineering

Dec. 2021: Joshua Rapp wins Best Dissertation Award from the IEEE Signal Processing Society, MERL News

Feb. 2021: Success in a Major Key, Tufts School of Engineering

Jan. 2021: New Frontiers in Self-Driving Cars, BU Center for Information & Systems Engineering

Dec. 2020: Joshua Rapp wins the 2020 IEEE SPS Young Author Best Paper Award, BU Center for Information & Systems Engineering

Dec. 2020: New imaging technique uses corners to see around corners, BU College of Engineering

Oct. 2018: The Depth of Depth Measurement, BU College of Engineering

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