Hi, I'm Omkar Vengurlekar
Second Year Ph.D. Student
Computer Engineering at Arizona State University
I am a Second-year Ph.D. student in Computer Engineering at Arizona State University. My research interests lie in computer vision, computer graphics, parallel-computing, and deep learning. I am passionate about developing robust and efficient algorithms for real-world applications. I specialize in designing algorithms for Implicit Neural representation, Novel View Synthesis, Volumetric Rendering and 3D Reconstruction. I am particularly interested in developing solutions for complex computer vision challenges using deep learning, computational imaging and rendering techniques.
I have gained valuable research experience through visiting Dartmouth College (Computer Science) as a visiting Researcher, where I worked on brainstorming and developing novel algorithms for None-Line-of-Sight Imaginging and 3D Reconstruction. I have also gained industry experience through insternship at Rain AI where I worked on developing efficient algorithms using GPU based parallel computing which helps me to developing robust and low latency algorithms for rendering and image processing applications.
Recent Publications
SH-SAS: An Implicit Neural Representation for Complex Spherical-Harmonic Scattering Fields for 3D Synthetic Aperture Sonar
Omkar Vengurlekar, Adithya Pediredla, Suren Jayasuriya
13th International Conference on 3D Vision 2026 (3DV) (Oral)
ToFGS: Temporally-Resolved Inverse Rendering with Gaussian Splatting for Time-of-Flight
Omkar Vengurlekar, Aaron Saju Augustine, Suren Jayasuriya
CVPR 2025 - 2nd Workshop on Neural Fields Beyond Conventional Cameras
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
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
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
IEEE OCEANS 2024-Halifax
RSSI filtering methods applied to localization using Bluetooth low energy
Aditya Kaduskar*, Omkar Vengurlekar*, Varunraj Shinde*
International Journal of Recent Technology and Engineering (IJRTE)
Areas of Expertise
Computer Vision
- • Multi-View Geometry
- • Spatial Awareness in Diffusion Models through priors
- • Image Segmentation
- • Object Detection
- • Image Classification
- • Medical Image Analysis
Computer Graphics
- • Implicit Neural Representation
- • Complex Signal Representation with Spherical Harmonics
- • Novel View Synthesis
- • Volumetric Rendering
- • 3D Reconstruction
- • Rendering Techniques
Machine Learning
- • Deep Learning Model Development
- • CNN, RNN, LSTM Architectures
- • Fourier Neural Operators
- • Physics-based Deep Learning
- • Transfer Learning & Fine-tuning
- • Multimodal Learning
Computational Imaging
- • RAW Image Processing
- • HDR Imaging
- • Super-Resolution
- • Doppler Imaging Techniques
- • Automated Photo Enhancement
- • Multi-Camera System Analysis
AI Research & Development
- • Novel Algorithm Design
- • Research Paper Publication
- • Experimental Setup & Data Collection
- • Performance Optimization
- • Cross-disciplinary AI Applications
High-Performance Computing
- • GPU-accelerated Computing
- • Parallel Processing
- • Large-scale Data Analysis
- • Optimization for Real-time Applications
- • Cloud Computing Integration
Technical Skills
Programming Languages
Frameworks & Libraries
Machine Learning & AI
Data Visualization
High-Performance Computing
Other Tools
Awards & Recognition
Ira Fulton Fellowship
Arizona State University ECEE
Highly competitive fellowship for Ph.D. students
2025
Travel Grant
ACM SIGGRAPH
Awarded for participating at SIGGRAPH 2024, Denver
2024
Travel Grant
IEEE ICCP
Awarded for presenting at ICCP 2024, Switzerland
2024