Ph.D. researcher · Arizona State University
I’m Omkar Vengurlekar, a computational imaging researcher working across differentiable rendering, neural scene representations, time-of-flight sensing, and 3D reconstruction.
Patents
Two U.S. provisional applications translate high-speed optical sensing and physics-guided 3D reconstruction into protectable technology.
View filing detailsInventorsAdithya Pediredla, Ramchander Bhaskara, Dhawal Sirikonda, Omkar Vengurlekar, Juhyeon Kim, Joseph Lazzaro, Suren Jayasuriya
InventorsOmkar Vengurlekar, Adithya Pediredla, Suren Jayasuriya
Research spectrum
My work spans the full imaging pipeline: I build sensing hardware, model how signals propagate, write differentiable renderers, and optimize scene representations on the GPU.
I design sensing systems that recover depth, vibration, and hidden structure from time-of-flight, Schlieren, and multi-camera measurements.
I connect physics-based image formation to optimization—building forward models, adjoints, and inverse renderers for optical and acoustic scenes.
I write custom CUDA and OptiX systems for high-throughput simulation, reconstruction, and analysis across unconventional sensing modalities.
Selected publications
* 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.
Research toolkit
I own the pipeline from calibrated capture and signal processing to differentiable simulation and GPU reconstruction.
Sensing
ToF · Schlieren · RGB · Multimodal
Representation
Gaussian splats · Neural fields · Spherical harmonics
Compute
CUDA · OptiX · PyTorch · JAX · Dr.Jit
Open to research collaborations