Mridul Aanjaneya
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About MeI will be joining the Department of Computer Science at Rutgers University as a tenure-track Assistant Professor starting Fall 2017. Previously, I was a postdoctoral researcher in the Department of Computer Sciences at the University of Wisconsin-Madison. I have a Ph.D. in Computer Science from Stanford University, where I was advised by Prof. Ronald Fedkiw. During graduate school, I also worked as a consultant in the Spatial Technologies team at the Nokia Research Center. Prior to joining Stanford, I graduated from the Indian Institute of Technology Kharagpur with a B. Tech. in Computer Science and Engineering. As an undergraduate, I also spent two wonderful summers as a research intern in the GEOMETRICA team at INRIA Sophia Antipolis. I am interested in the areas of computer graphics, scientific and high-performance computing, computational physics, robotics, biomechanics, computational geometry and their applications in the physical sciences and engineering. Some of my recent work has focused on pushing the limits of current numerical algorithms for capturing small scale details in solid and fluid simulations by leveraging accelerations both at the algorithmic and systems level. More broadly, I am interested in the design of next generation algorithms that can facilitate interdisciplinary collaboration with researchers in engineering and medicine for understanding phenomena that are intractable by current means. Outside of work, I enjoy running, rock climbing, hiking, watching movies, and playing piano. |
Power Diagrams and Sparse Paged Grids for High Resolution Adaptive Liquids
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A scalable Schur-complement fluids solver for heterogeneous compute platforms
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Towards Positivity Preservation for Monolithic Two-way Solid-Fluid Coupling
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Simulating Phase-Change Phenomena Using Gradient Augmented Level Set Approach
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Non-manifold Level Sets: A multivalued implicit surface representation with applications to self-collision processing
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A comparative study of four fluid-solid coupling methods for applications in ground vehicle mobility
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SPGrid: a sparse paged grid structure applied to adaptive smoke simulation
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Efficient Denting and Bending of Rigid Bodies
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A Monolithic Mass Tracking Formulation for Bubbles in Incompressible Flow
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A Hybrid Lagrangian-Eulerian Formulation for Bubble Generation and Dynamics
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A Monolithic Mass Tracking Formulation for Bubbles in Incompressible Flow
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Method and Apparatus for Providing Perspective-based Content Placement
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Diffuse reflection diameter and radius for convex-quadrilateralizable polygons
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Metric Graph Reconstruction from Noisy Data
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3D City Modeling from Street-Level Data for Augmented Reality Applications
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Mass and Momentum Conservation for Fluid Simulation
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Metric Graph Reconstruction from Noisy Data
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Image Webs: Computing and Exploiting Connectivity in Image Collections
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Tromino tilings of domino-deficient rectangles
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Directly Visible Pairs and Illumination by Reflections in Orthogonal Polygons
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Triangulating the Real Projective Plane
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