Computational Sensing
Utilizing computation to improve sensing capabilities.
Our research in the area of computational sensing focuses on signal acquisition and design, signal modeling and reconstruction algorithms, including inverse problems, as well as array signal processing techniques.
Quick Links
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Researchers
Petros T.
Boufounos
Hassan
Mansour
Pu
(Perry)
Wang
Dehong
Liu
Philip V.
Orlik
Toshiaki
Koike-Akino
Joshua
Rapp
Yanting
Ma
Kieran
Parsons
Saviz
Mowlavi
Ye
Wang
Wael H.
Ali
Anthony
Vetro
Jianlin
Guo
Radu
Corcodel
Vedang M.
Deshpande
Siddarth
Jain
Chungwei
Lin
Suhas
Lohit
Pedro
Miraldo
Kuan-Chuan
Peng
Abraham P.
Vinod
Yebin
Wang
Kenji
Inomata
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Awards
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AWARD MERL’s Paper on Wi-Fi Sensing Earns Top 3% Paper Recognition at ICASSP 2023, Selected as a Best Student Paper Award Finalist Date: June 9, 2023
Awarded to: Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos and Petar Popovski
MERL Contacts: Petros T. Boufounos; Toshiaki Koike-Akino; Pu (Perry) Wang; Ye Wang
Research Areas: Artificial Intelligence, Communications, Computational Sensing, Dynamical Systems, Machine Learning, Signal ProcessingBrief- A MERL Paper on Wi-Fi sensing was recognized as a Top 3% Paper among all 2709 accepted papers at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Co-authored by Cristian Vaca-Rubio and Petar Popovski from Aalborg University, Denmark, and MERL researchers Pu Wang, Toshiaki Koike-Akino, Ye Wang, and Petros Boufounos, the paper "MmWave Wi-Fi Trajectory Estimation with Continous-Time Neural Dynamic Learning" was also a Best Student Paper Award finalist.
Performed during Cristian’s stay at MERL first as a visiting Marie Skłodowska-Curie Fellow and then as a full-time intern in 2022, this work capitalizes on standards-compliant Wi-Fi signals to perform indoor localization and sensing. The paper uses a neural dynamic learning framework to address technical issues such as low sampling rate and irregular sampling intervals.
ICASSP, a flagship conference of the IEEE Signal Processing Society (SPS), was hosted on the Greek island of Rhodes from June 04 to June 10, 2023. ICASSP 2023 marked the largest ICASSP in history, boasting over 4000 participants and 6128 submitted papers, out of which 2709 were accepted.
- A MERL Paper on Wi-Fi sensing was recognized as a Top 3% Paper among all 2709 accepted papers at the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). Co-authored by Cristian Vaca-Rubio and Petar Popovski from Aalborg University, Denmark, and MERL researchers Pu Wang, Toshiaki Koike-Akino, Ye Wang, and Petros Boufounos, the paper "MmWave Wi-Fi Trajectory Estimation with Continous-Time Neural Dynamic Learning" was also a Best Student Paper Award finalist.
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AWARD Joshua Rapp wins Best Dissertation Award from the IEEE Signal Processing Society Date: December 20, 2021
Awarded to: Joshua Rapp
MERL Contact: Joshua Rapp
Research Areas: Computational Sensing, Signal ProcessingBrief- Joshua Rapp has won the 2021 Best PhD Dissertation Award from the IEEE Signal Processing Society.
The award recognizes a PhD thesis completed on a signal processing subject within the past three years for its relevant work in signal processing while stimulating further research in the field.
Dr. Rapp completed his PhD at Boston University in 2020 with a thesis entitled "Probabilistic Modeling for Single-Photon Lidar." The dissertation tackles challenges of the acquisition and processing of 3D depth maps reconstructed from time-of-flight data captured one photon at a time.
The award will be presented at the 2022 IEEE International Conference on Image Processing (ICIP) in France.
- Joshua Rapp has won the 2021 Best PhD Dissertation Award from the IEEE Signal Processing Society.
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AWARD Petros Boufounos Elevated to IEEE Fellow Date: January 1, 2022
Awarded to: Petros T. Boufounos
MERL Contact: Petros T. Boufounos
Research Areas: Computational Sensing, Signal ProcessingBrief- MERL’s Petros Boufounos has been elevated to IEEE Fellow, effective January 2022, for “contributions to compressed sensing.”
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society. Each year, following a rigorous evaluation procedure, the IEEE Fellow Committee recommends a select group of recipients for elevation to IEEE Fellow. Less than 0.1% of voting members are selected annually for this member grade elevation.
- MERL’s Petros Boufounos has been elevated to IEEE Fellow, effective January 2022, for “contributions to compressed sensing.”
See All Awards for Computational Sensing -
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News & Events
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NEWS MERL Congratulates Recipients of 2027 IEEE Technical Field Awards in Signal Processing Date: October 22, 2026
Where: Piscataway, NJ
MERL Contacts: Petros T. Boufounos; Jonathan Le Roux; Anthony Vetro
Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Signal Processing, Speech & AudioBrief- IEEE has announced the recipients of two prestigious 2027 IEEE Technical Field Awards sponsored by Mitsubishi Electric Research Laboratories (MERL).
The 2027 IEEE James L. Flanagan Speech and Audio Processing Award will be presented to Chin-Hui Lee, Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. Lee is recognized for "contributions to and leadership in technologies that enable automatic speech and speaker recognition, including innovations in adaptive learning and discriminative training."
The 2027 IEEE Fourier Award for Signal Processing will be presented to Nicholas Dimitrios Sidiropoulos, Louis T. Rader Professor of Electrical and Computer Engineering at the University of Virginia. Sidiropoulos is recognized for "contributions to signal processing methods for analyzing complex data and identifying patterns in multiple dimensions."
The IEEE James L. Flanagan Speech and Audio Processing Award was established in 2002 to recognize outstanding contributions to the advancement of speech and/or audio signal processing. The IEEE Fourier Award for Signal Processing was established in 2012 to recognize outstanding contributions to signal processing outside the areas of speech and audio.
MERL is proud to sponsor these awards, recognizing outstanding researchers whose contributions advance the field of signal processing and its applications. MERL congratulates the 2027 recipients on their achievements.”
- IEEE has announced the recipients of two prestigious 2027 IEEE Technical Field Awards sponsored by Mitsubishi Electric Research Laboratories (MERL).
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NEWS Petros Boufounos elected Vice President–Conferences of the IEEE Signal Processing Society Date: June 24, 2026
MERL Contact: Petros T. Boufounos
Research Areas: Computational Sensing, Signal ProcessingBrief- MERL's Distinguished Research Scientist and IEEE Fellow Dr. Petros Boufounos has been elected Vice President–Conferences of the IEEE Signal Processing Society (SPS) for the 2027–2029 term. In this role, he will serve on the SPS Board of Governors and chair the SPS Conferences Board, overseeing the Society’s conferences, workshops, and other technical meeting activities.
See All News & Events for Computational Sensing -
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Research Highlights
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Internships
See All Internships for Computational Sensing -
Openings
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ST0175: Postdoctoral Research Fellow - Quantum Technologies
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SA0297: Postdoctoral Research Fellow - AI for Science
See All Openings at MERL -
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Recent Publications
- , "Radar Sensing in Industrial and Mobile Robotics: A Review", IEEE Sensors Journal, September 2026.BibTeX TR2026-145 PDF
- @inproceedings{Pandharipande2026sep,
- author = {Pandharipande, Ashish and Wang, Pu and Hakobyan, Gor},
- title = {{Radar Sensing in Industrial and Mobile Robotics: A Review}},
- booktitle = {IEEE Sensors Journal},
- year = 2026,
- month = sep,
- url = {https://www.merl.com/publications/TR2026-145}
- }
- , "Deep-Unfolded Autofocus Imaging for Distributed MIMO Radar", IEEE International Conference on Image Processing (ICIP), September 2026.BibTeX TR2026-128 PDF
- @inproceedings{Terada2026sep,
- author = {Terada, Tsubasa and Mansour, Hassan and Boufounos, Petros T. and Takahashi, Ryuhei},
- title = {{Deep-Unfolded Autofocus Imaging for Distributed MIMO Radar}},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2026,
- month = sep,
- url = {https://www.merl.com/publications/TR2026-128}
- }
- , "Effect of Coil Geometry on Sensitivity Distribution in Field-Free Line Magnetic Particle Imaging", Scientific Report, August 2026.BibTeX TR2026-115 PDF
- @article{Washino2026aug,
- author = {Washino, Masaomi and Lin, Chungwei and Matsuda, Tetsuya and Seino, Satoshi and Nakagawa, Takashi and Kiwa, Toshihiko},
- title = {{Effect of Coil Geometry on Sensitivity Distribution in Field-Free Line Magnetic Particle Imaging}},
- journal = {Scientific Report},
- year = 2026,
- month = aug,
- url = {https://www.merl.com/publications/TR2026-115}
- }
- , "AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition", Machine Learning: Science and Technology, DOI: 10.1088/2632-2153/ae8638, Vol. 7, No. 045025, July 2026.BibTeX TR2026-116 PDF Software
- @article{Botvinick-Greenhouse2026jul,
- author = {Botvinick-Greenhouse, Jonah and Ali, Wael H. and Benosman, Mouhacine and Mowlavi, Saviz},
- title = {{AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition}},
- journal = {Machine Learning: Science and Technology},
- year = 2026,
- volume = 7,
- number = 045025,
- month = jul,
- doi = {10.1088/2632-2153/ae8638},
- url = {https://www.merl.com/publications/TR2026-116}
- }
- , "Waveforms in 6G and Beyond", IEEE Communications Standards Magazine, DOI: 10.1109/MCOMSTD.2026.3681093, Vol. 10, No. 2, pp. 96-97, June 2026.BibTeX TR2026-099 PDF
- @article{Yuan2026jun,
- author = {{Yuan, Weijie and Wang, Pu and Ahmadi, Hamed and Liu, Bryan}},
- title = {{Waveforms in 6G and Beyond}},
- journal = {IEEE Communications Standards Magazine},
- year = 2026,
- volume = 10,
- number = 2,
- pages = {96--97},
- month = jun,
- doi = {10.1109/MCOMSTD.2026.3681093},
- issn = {2471-2833},
- url = {https://www.merl.com/publications/TR2026-099}
- }
- , "Robust Current Fault Signature Extraction for Train Traction Motors", 2026 IEEE Transportation Electrification Conference & Expo, DOI: 10.1109/ITECEATS66641.2026.11592837, June 2026.BibTeX TR2026-080 PDF
- @inproceedings{Liu2026jun2,
- author = {Liu, Dehong and Iwawaki, Tomoyuki and Hirakida, Ken and Matsui, Yoshiki and Wang, Yebin},
- title = {{Robust Current Fault Signature Extraction for Train Traction Motors}},
- booktitle = {2026 IEEE Transportation Electrification Conference \& Expo},
- year = 2026,
- month = jun,
- publisher = {IEEE},
- doi = {10.1109/ITECEATS66641.2026.11592837},
- issn = {2473-7631},
- isbn = {979-8-3315-8773-4},
- url = {https://www.merl.com/publications/TR2026-080}
- }
- , "Single View Camera-Based Dynamic Airflow Sensing", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP55912.2026.11463737, May 2026, pp. 11542-11546.BibTeX TR2026-038 PDF
- @inproceedings{Tandi2026may,
- author = {Tandi, Kevin and Ali, Wael H. and Rapp, Joshua and Mansour, Hassan},
- title = {{Single View Camera-Based Dynamic Airflow Sensing}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2026,
- pages = {11542--11546},
- month = may,
- publisher = {IEEE},
- doi = {10.1109/ICASSP55912.2026.11463737},
- url = {https://www.merl.com/publications/TR2026-038}
- }
- , "Heatmap-to-SMPL Multi-View Radar Transformer for Multi-Person 3D Pose Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP55912.2026.11463668, May 2026.BibTeX TR2026-040 PDF
- @inproceedings{Kato2026may,
- author = {Kato, Sorachi and Wang, Pu and Fujihashi, Takuya and Markham, Andrew},
- title = {{Heatmap-to-SMPL Multi-View Radar Transformer for Multi-Person 3D Pose Estimation}},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2026,
- month = may,
- publisher = {IEEE},
- doi = {10.1109/ICASSP55912.2026.11463668},
- issn = {2379-190X},
- isbn = {979-8-3315-6701-9},
- url = {https://www.merl.com/publications/TR2026-040}
- }
- , "Radar Sensing in Industrial and Mobile Robotics: A Review", IEEE Sensors Journal, September 2026.
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Videos
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Software & Data Downloads
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Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition -
Radar-based 3D Pose Estimation using Transformer -
multi-view Radar object dEtection with 3D bounding boX diffusiOn -
Radar dEtection TRansformer -
Millimeter-wave Multi-View Radar Dataset -
Learned Born Operator for Reflection Tomographic Imaging -
Convergent Inverse Scattering using Optimization and Regularization -
Generalization in Deep RL with a Robust Adaptation Module
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