Research archive · 2024—2026

Papers, code, and project pages.

Research spanning optical time-of-flight sensing, computational imaging, differentiable rendering, neural fields, Gaussian splatting, and multimodal 3D reconstruction.

06

Selected publications

03

First / co-first author

02

Public codebases

2026 ACM Transactions on Graphics · SIGGRAPH Asia Featured

SDR-ToF: Million Optical Depth Samples per Second Using Software-Defined Radio

Ramchander Bhaskara*, Dhawal Sirikonda*, Omkar Vengurlekar*, Juhyeon Kim, Joseph Lazarro, Suren Jayasuriya, Adithya Pediredla

* Equal contribution

RF-coherent optical depth sensing with commodity software-defined radios at megahertz rates, enabling sub-millimeter precision, vibration analysis, audio recovery, and high-speed depth scanning.

Time-of-FlightOptical sensingRF systems
2026 13th International Conference on 3D Vision · Oral Featured

SH-SAS: An Implicit Neural Representation for Complex Spherical-Harmonic Scattering Fields for 3D Synthetic Aperture Sonar

Omkar Vengurlekar, Adithya Pediredla, Suren Jayasuriya

An implicit neural representation of complex acoustic scattering with spherical harmonics, trained directly from raw 1D time-of-flight measurements without intermediate beamforming.

Neural fieldsSynthetic aperture sonar3D reconstruction
2025 IEEE Transactions on Pattern Analysis and Machine Intelligence Featured

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion

Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher Metzler, Suren Jayasuriya, Adithya Pediredla

Differentiable Gaussian splatting for camera-sonar fusion that uses acoustic depth constraints to address missing-cone ambiguity and improve geometric reconstruction.

Gaussian splattingSensor fusionDifferentiable rendering
2025 Antenna Measurement Techniques Association Symposium

Reconstructing Microwave Synthetic Aperture Images Using Neural Fields

Cecilio Obeso, Kavian Zirak, Omkar Vengurlekar, Suren Jayasuriya, Mohammadreza F. Imani

Neural-field reconstruction for microwave synthetic-aperture measurements, connecting physics-based sensing with continuous scene representations.

Microwave imagingNeural fieldsInverse problems
2025 CVPR · Neural Fields Beyond Conventional Cameras Workshop

ToFGS: Temporally-Resolved Inverse Rendering with Gaussian Splatting for Time-of-Flight

Omkar Vengurlekar, Aaron Saju Augustine, Suren Jayasuriya

A temporally resolved inverse-rendering framework that reconstructs scenes from transient time-of-flight measurements using Gaussian splatting.

Transient imagingGaussian splattingInverse rendering
2024 IEEE OCEANS · Halifax

A Hybrid ViT-CNN Architecture for Volumetric Target Classification with Sub-Bottom SAS Data

Gregory D. Vetaw, Omkar S. Vengurlekar, Daniel C. Brown, Suren Jayasuriya

A hybrid vision-transformer and convolutional architecture for volumetric target classification in challenging sub-bottom synthetic-aperture sonar data.

Vision transformersVolumetric classificationSonar