Joshua Rapp


I am currently a 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.


December 2021

πŸ† 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

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

January 2021

πŸ“„ 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.Β 

December 2020

πŸ† 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

πŸ“„ Seeing Around Corners with Edge-Resolved Transient Imaging published in Nature Communications!

πŸ“„ 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

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

May 2020

πŸ† My PhD dissertation won the Outstanding Dissertation Award - Electrical Engineering from the BU ECE Department

January 2020

πŸ’Ό Started a postdoc at Stanford in the Computational Imaging Lab

πŸŽ“ Officially graduated with my PhD in Electrical Engineering from Boston University

July 2019

πŸ“„ 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

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

September 2017

πŸ“„ 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


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