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.

Omkar Shailendra Vengurlekar

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

Python C++ C CUDA R MATLAB Java Bash

Frameworks & Libraries

PyTorch Keras TensorFlow Optix OpenGL Fast.AI OpenCV Scikit NLTK NumPy Pandas Flask

Machine Learning & AI

CNN Transformers RNN LSTM GAN FCN Diffusion Models VAE KAN

Data Visualization

Tableau Microsoft PowerBI Seaborn Origin-Pro GraphPad

High-Performance Computing

Batch Scripting GPU Clusters Python Multi-Processing Dask Cython

Other Tools

Git Docker Unreal Engine Blender LaTeX

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