Towards Cognitive Ultrasound – we work on making (ultra)sound affordable and intelligent, from algorithm design to deployment on edge devices.
End-to-end research – from algorithm design and simulation to real-time deployment on constrained hardware.

Transducers, acoustic masks, front-end electronics and simulation tools for ultrasound acquisition.

Beamforming, aberration correction, 3D and panoramic reconstruction, flow imaging and array processing, from simulation to real-time implementation.

Point-of-care applications in musculoskeletal, lung, interventional, prosthetic control and vascular imaging.
Browser-based demos of methods developed in our group. The computation runs on our server, and no installation is required.
A JAX based differentiable simulator and beamformer, where the speed of sound and the transmit and receive apodization are optimised by gradient descent on image quality metrics, e.g., gCNR. Scene presets (QA phantom, liver, breast) are available, and an uploaded image can also be used as the scene.
Open the diffUS Demo →Peer-reviewed work in leading IEEE journals and conferences.



Toolboxes and frameworks released to the community, from beamforming to lung ultrasound analysis.

A lung ultrasound toolbox for object detection followed by image quality scoring and lung infection severity scoring.
GitHub ↗
A cloud-based software tool for automated lung ultrasound analysis, accessible via a web interface.
GitHub ↗
A toolbox for lung ultrasound video summarization – condensing long scan sequences into representative keyframes.
GitHub ↗Recognition, updates, and milestones from the Pulse Echo group.
Congratulations Madhavanunni AN for winning the Second Prize for Best Paper Award at the 2024 IEEE South Asian Ultrasonics Symposium (SAUS 2024).
Mahesh joined Singapore Institute of Technology as Associate Professor, Infocomm Technology Cluster.
Congratulations Harikrishnan Pisharody for being one of the finalists for Best Paper Award at the 2022 IEEE International Symposium on Biomedical Imaging (ISBI 2022).
Congratulations Madhavanunni AN for being a Student Paper Finalist at the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2021).
Congratulations Madhavanunni A. N. for winning the 2020 Robert F. Wagner All Conference Best Student Paper Finalist Award at the SPIE Medical Imaging Conference, Houston, USA (February 2020).

Associate Professor, Infocomm Technology Cluster
Singapore Institute of Technology
A multidisciplinary group spanning signal processing, hardware, machine learning, and clinical translation.




We welcome academic partnerships, industry collaborations, and research discussions in signal processing, biomedical imaging, and edge AI.