Mridul Aanjaneya
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About MeI am an Associate Professor in the Department of Computer Science at Rutgers University, and a member of the Computational Biomedicine Imaging and Modeling Center (CBIM). I joined the department in 2017 after completing my doctoral studies in Computer Science from Stanford University in 2013, under the supervision of Ronald Fedkiw, followed by postdoctoral studies at the University of Wisconsin-Madison, where I was advised by Eftychios Sifakis. I finished my undergraduate studies in Computer Science and Engineering from the Indian Institute of Technology Kharagpur in 2008. I feel fortunate to be a recipient of the Ralph E. Powe Junior Faculty Enhancement Award 2019, sponsored by Oak Ridge Associated Universities (ORAU), and the NSF CAREER Award 2023. I am interested in the areas of computer graphics, scientific computing, programming languages and robotics. Specifically, I develop numerical methods in computational physics that can benefit from the compute power available on modern workstations, by leveraging accelerations both at the algorithmic and systems level. Recently, we have started applying these techniques for learning unknown physical parameters for motion planning and control in robotics, and for designing correctly-rounded implementations of elementary functions for new floating-point variants. My long term goal is to enable 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. At Rutgers, I direct the Laboratory for Interactive Virtual Environments (LIVE). If you are a prospective graduate student interested in joining our lab, please apply to the Ph.D. program in Computer Science at Rutgers University, and mention my name in your application. If you would like to apply for a postdoc position, please email me your CV directly. |
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Symposium on Computer Animation (SCA) 2023Together with Chenfanfu Jiang, I co-chaired the 22nd ACM SIGGRAPH/Eurographics Symposium on Computer Animation, that was held in-person at UCLA from August 4-6, 2023. Fully accepted papers were published in the journal Proceedings of the ACM in Computer Graphics and Interactive Techniques (PACMCGIT). Congratulations to the winners of the Best Paper Awards, Sebastian Starke for winning the SCA Doctoral Dissertation Award, and Kui Wu for winning the SCA Early Career Researcher Award! |
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
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A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing
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Spectral Reordering for Faster Elasticity Simulations
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Maximum Consensus Floating Point Solutions for Infeasible Low-dimensional Linear Programs with Convex Hull as the Intermediate Representation
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Real-time Height-field Simulation of Sand and Water Mixtures
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A Generalized Constitutive Model for Versatile MPM Simulation and Inverse Learning with Differentiable Physics
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Real2Sim2Real Transfer for Control of Cable-driven Robots via a Differentiable Physics Engine
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An Interactive Framework for Visually Realistic 3D Motion Synthesis using Evolutionarily-trained Spiking Neural Networks
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Bioinspired Dynamic Control of Amphibious Articulated Creatures with Spiking Neural Networks
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Fast Polynomial Evaluation for Correctly Rounded Elementary Functions using the RLIBM Approach
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Progressive Polynomial Approximations for Fast Correctly Rounded Math Libraries
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Giga Graph Cities: Their Buckets, Buildings, Waves, and Fragments
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An Efficient B-Spline Lagrangian/Eulerian Method for Compressible Flow, Shock Waves, and Fracturing Solids
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Model Identification and Control of a Low-cost Mobile Robot with Omnidirectional Wheels using Differentiable Physics
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A Recurrent Differentiable Engine for Tensegrity Robots
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A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data
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A-ULMPM: An Adaptively Updated Lagrangian Material Point Method for Efficient Physics Simulation without Numerical Fracture
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Interactive Simulation of Disease Contagion in Dynamic Crowds
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A Lagrangian Particle-based Formulation for Coupled Simulation of Fracture and Diffusion in Thin Membranes
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Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots
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A Unified Second-Order Accurate in Time MPM Formulation for Simulating Viscoelastic Liquids with Phase Change
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Graph Cities: Their Buildings, Waves, and Fragments
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An Approach to Generate Correctly-Rounded Math Libraries for New Floating-Point Variants
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On a Generalized Energy Conservation/Dissipation Time Finite Element Method for Hamiltonian Mechanics
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A Novel Discretization and Numerical Solver for Non-Fourier Diffusion
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IQ-MPM: An Interface Quadrature Material Point Method for Non-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids
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Constraint Bubbles and Affine Regions: Reduced Fluid Models for Efficient Immersed Bubbles and Flexible Spatial Coarsening
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A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
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An Adaptive Variational Finite Difference Framework for Efficient Symmetric Octree Viscosity
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An Efficient Geometric Multigrid Solver for Viscous Liquids
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Dexterous Manipulation and Control with Volumetric Muscles
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An Efficient Solver for Two-way Coupling Rigid Bodies with Incompressible Flow
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Power Diagrams and Sparse Paged Grids for High Resolution Adaptive Liquids
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Volumetric Muscle Controller
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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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