Suryansh Kumar

I am an Assistant Professor of Visual Computing and Computational Media at Texas A&M University College Station, where I also direct the Visual and Spatial Gradient Lab. I primarily research 3Dcomputer vision, Visual AI, and Robotic Automation. As a researcher, I am fascinated by how numerical construction can precisely represent the perceptual concepts of images, such as 3D scene geometry, motions, lights, material, and color. I aim to use these mathematical concepts to enable machines for a broader adoption using visual data. My fascination led me to explore well-developed computing fields like computer vision, artificial intelligence, computer graphics, and robotics. My research in computer vision and computer graphics aims to introduce new methods for visual representation learning, photogrammetry, and dynamic scene modeling. In AI and robotics, my research seeks to solve real-world robotic automation problems by leveraging the benefits of deep neural networks in learning visual representation and decision-making tasks.