Fast Monte Carlo Domain Sampling for Discrete Field Value Estimation. - Krishnan Suresh; Jovan Zagajac (Symposium on Solid Modeling and Applications, 1997)

A computing strategy for applications involving offsets, sweeps, and Minkowski operations. - Eugene E. Hartquist; Jai Menon 002; Krishnan Suresh; Herbert B. Voelcker; Jovan Zagajac (Comput. Aided Des., 1999)

Automating the CAD/CAE dimensional reduction process. - Krishnan Suresh (Symposium on Solid Modeling and Applications, 2003)

Generalization of the Mid-Element Based Dimensional Reduction. - Krishnan Suresh (J. Comput. Inf. Sci. Eng., 2003)

Simplified engineering analysis via medial mesh reduction. - Murari Sinha; Krishnan Suresh (Symposium on Solid and Physical Modeling, 2005)

Automated symmetry exploitation in engineering analysis. - Krishnan Suresh; Ameya Sirpotdar (Eng. Comput., 2006)

Estimating the impact of large design changes on field problems. - Sankara Hari Gopalakrishnan; Krishnan Suresh (Symposium on Solid and Physical Modeling, 2007)

A formal theory for estimating defeaturing-induced engineering analysis errors. - Sankara Hari Gopalakrishnan; Krishnan Suresh (Comput. Aided Des., 2007)

Randomized Algorithms for Large scale SVMs - Vinay Jethava; Krishnan Suresh; Chiranjib Bhattacharyya; Ramesh Hariharan (CoRR, 2009)

An analysis strategy for swept solids. - Rakesh Vemulapally; Krishnan Suresh (Eng. Comput., 2009)

Algebraic Dimensional Reduction for Microfluidic Simulation. - Joshua Danczyk; Krishnan Suresh (J. Comput. Inf. Sci. Eng., 2009)

Efficient and Automated Analysis of Potentially Slender Structures. - Kavous Jorabchi; Joshua Danczyk; Krishnan Suresh (J. Comput. Inf. Sci. Eng., 2009)

Algebraic reduction of beams for CAD-integrated analysis. - Kavous Jorabchi; Joshua Danczyk; Krishnan Suresh (Comput. Aided Des., 2010)

Dual Representation Methods for Efficient and Automatable Analysis of 3D Plates. - Vikalp Mishra; Krishnan Suresh (J. Comput. Inf. Sci. Eng., 2010)

CAD-integrated analysis of 3-D beams: a surface-integration approach. - Wa'el Abdel Samad; Krishnan Suresh (Eng. Comput., 2011)

A dual-representation strategy for the virtual assembly of thin deformable objects. - Vikalp Mishra; Krishnan Suresh (Virtual Real., 2012)

Assembly-Free Large-Scale Modal Analysis on the Graphics-Programmable Unit. - Praveen Yadav; Krishnan Suresh (J. Comput. Inf. Sci. Eng., 2013)

Large Scale Finite Element Analysis Via Assembly-Free Deflated Conjugate Gradient. - Praveen Yadav; Krishnan Suresh (J. Comput. Inf. Sci. Eng., 2014)

Support structure constrained topology optimization for additive manufacturing. - Amir M. Mirzendehdel; Krishnan Suresh (Comput. Aided Des., 2016)

A robust combinatorial approach to reduce singularities in quadrilateral meshes. - Chaman Singh Verma; Krishnan Suresh (Comput. Aided Des., 2017)

αMST: A robust unified algorithm for quadrilateral mesh adaptation in 2D and 3D. - Chaman Singh Verma; Krishnan Suresh (Comput. Aided Des., 2018)

A fast matrix-free elasto-plastic solver for predicting residual stresses in additive manufacturing. - Bhagyashree C. Prabhune; Krishnan Suresh (Comput. Aided Des., 2020)

Generalizations of non-uniform rational B-splines via decoupling of the weights: theory, software and applications. - Alireza H. Taheri; Saeed Abolghasemi; Krishnan Suresh (Eng. Comput., 2020)

A Review of Methods for the Geometric Post-Processing of Topology Optimized Models. - Subodh C. Subedi; Chaman Singh Verma; Krishnan Suresh (J. Comput. Inf. Sci. Eng., 2020)

Multi-Material Topology Optimization Using Neural Networks. - Aaditya Chandrasekhar; Krishnan Suresh (Comput. Aided Des., 2021)

AuTO: A Framework for Automatic differentiation in Topology Optimization. - Aaditya Chandrasekhar; Saketh Sridhara; Krishnan Suresh (CoRR, 2021)

Second Order Defeaturing Error Estimator of Porosity on Structural Elastic Performance in Manufactured Metallic Components. - Shiguang Deng; Carl Soderhjelm; Diran Apelian; Krishnan Suresh (CoRR, 2021)

Estimation of Elastic Behavior of Cast Metal Components Containing Process Induced Porosity. - Shiguang Deng; Carl Soderhjelm; Diran Apelian; Krishnan Suresh (CoRR, 2021)

Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks. - Aaditya Chandrasekhar; Krishnan Suresh (CoRR, 2021)

Approximate Length Scale Filter in Topology Optimization using Fourier Enhanced Neural Networks. - Aaditya Chandrasekhar; Krishnan Suresh (Comput. Aided Des., 2022)

Topology optimization under thermo-elastic buckling. - Shiguang Deng; Krishnan Suresh (CoRR, 2022)

Multi-constrained topology optimization via the topological sensitivity. - Shiguang Deng; Krishnan Suresh (CoRR, 2022)

Multi-constrained 3D topology optimization via augmented topological level-set. - Shiguang Deng; Krishnan Suresh (CoRR, 2022)

Stress constrained thermo-elastic topology optimization with varying temperature fields via augmented topological sensitivity based level-set. - Shiguang Deng; Krishnan Suresh (CoRR, 2022)

GM-TOuNN: Graded Multiscale Topology Optimization using Neural Networks. - Aaditya Chandrasekhar; Saketh Sridhara; Krishnan Suresh (CoRR, 2022)

Towards tangled finite element analysis over partially inverted hexahedral elements. - Bhagyashree C. Prabhune; Krishnan Suresh (CoRR, 2022)

A Generalized Framework for Microstructural Optimization using Neural Networks. - Saketh Sridhara; Aaditya Chandrasekhar; Krishnan Suresh (CoRR, 2022)

FluTO: Graded Multiscale Fluid Topology Optimization using Neural Networks. - Rahul Kumar Padhy; Aaditya Chandrasekhar; Krishnan Suresh (CoRR, 2022)

Integrating material selection with design optimization via neural networks. - Aaditya Chandrasekhar; Saketh Sridhara; Krishnan Suresh (Eng. Comput., 2022)

Surface approximations using generalized NURBS. - Alireza H. Taheri; Krishnan Suresh (Eng. Comput., 2022)

Graded multiscale topology optimization using neural networks. - Aaditya Chandrasekhar; Saketh Sridhara; Krishnan Suresh (Adv. Eng. Softw., 2023)

Isoparametric Tangled Finite Element Method for Nonlinear Elasticity. - Bhagyashree C. Prabhune; Krishnan Suresh (CoRR, 2023)

TOMAS: Topology Optimization of Multiscale Fluid Devices using Variational Autoencoders and Super-Shapes. - Rahul Kumar Padhy; Krishnan Suresh; Aaditya Chandrasekhar (CoRR, 2023)

Computing a Sparse Approximate Inverse on Quantum Annealing Machines. - Sanjay Suresh; Krishnan Suresh (CoRR, 2023)

FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network. - Aaditya Chandrasekhar; Amir M. Mirzendehdel; Morad Behandish; Krishnan Suresh (Comput. Aided Des., 2023)

Optimal Box Contraction for Solving Linear Systems via Simulated and Quantum Annealing. - Sanjay Suresh; Krishnan Suresh (CoRR, 2024)

TreeTOp: Topology Optimization using Constructive Solid Geometry Trees. - Rahul Kumar Padhy; Pramod Thombre; Krishnan Suresh; Aaditya Chandrasekhar (CoRR, 2024)

FluTO: Graded multi-scale topology optimization of large contact area fluid-flow devices using neural networks. - Rahul Kumar Padhy; Aaditya Chandrasekhar; Krishnan Suresh (Eng. Comput., 2024)

On why mesh untangling may not be required. - Bhagyashree C. Prabhune; Krishnan Suresh (Eng. Comput., 2024)

Voroto: multiscale topology optimization of voronoi structures using surrogate neural networks. - Rahul Kumar Padhy; Krishnan Suresh; Aaditya Chandrasekhar (Eng. Comput., 2025)