2024 |
4 |
Stephen Holland, Adarsh Krishnamurthy; Registration of NDE data to CAD, Norbert Meyendorf, Nathan Ida, Ripi Singh, Johannes Vrana, editors, Handbook of Nondestructive Evaluation 4.0, pp. 1–35, ISBN: 978-3-030-48200-8, Springer, 2nd ed., 2024. |
2022 |
3 |
Stephen Holland, Adarsh Krishnamurthy; Registration of NDE data to CAD, Norbert Meyendorf, Nathan Ida, Ripi Singh, Johannes Vrana, editors, Handbook of Nondestructive Evaluation 4.0, pp. 1–35, ISBN: 978-3-030-48200-8, Springer, 2022. |
2021 |
2 |
Aditya Balu, Sambit Ghadai, Gavin Young, Soumik Sarkar, Adarsh Krishnamurthy; A machine learning framework for decision support in design and manufacturing, John G. Michopoulos, Christiaan J. J. Paredis, David W. Rosen, Judy M. Vance, editors, Advances in Computing and Information in Engineering (ACIER), vol. 2, pp. 479–498, chapter 15, ASME, 2021. |
2016 |
1 |
Adarsh Krishnamurthy, Benjamin Coppola, Jared Tangney, Roy Kerckhoffs, Jeffrey Omens, Andrew McCulloch; A microstructurally-based multi-scale constitutive model of active myocardial mechanics, Structure-Based Mechanics of Tissues and Organs, pp. 439–460, Springer, 2016. |
|
||
|
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2024 |
61 |
Muhammad Arbab Arshad, Talukder Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy; Evaluating neural radiance fields (NeRFs) for 3D plant geometry reconstruction in field conditions, Plant Phenonics, 6(0235):1–17, 2024. |
|
60 |
Nabila Masud, Jaydeep Rade, Md. Hasibul Hassan, Adarsh Krishnamurthy, Anwesha Sarkar; Machine learning approaches for improving atomic force microscopy instrumentation and data analytics, Frontiers in Physics, 2024. |
|
59 |
Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy; Neural PDE solvers for irregular domains, Computer-Aided Design, 172:103709, 2024. |
|
58 |
Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy; Latent diffusion models for structural component design, Computer-Aided Design, 171:103707, 2024. |
|
57 |
Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; NeuFENet: Neural finite element solutions with theoretical bounds for parametric PDEs, Engineering with Computers:1–23, 2024. |
|
56 |
Anushrut Jignasu, Jeremy D. Rurup, Ethan B. Secor, Adarsh Krishnamurthy; NURBS-based path planning for aerosol jet printing of conformal electronics, Journal of Manufacturing Processes, 118:187–194, 2024. |
|
55 |
Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, Soumyashree Kar, Koushik Nagasubramanian, Girish Chowdhary, Sajal K. Das, George Kantor, Adarsh Krishnamurthy, Nirav Merchant, Asheesh K. Singh; Cyber-agricultural systems (CAS) for crop breeding and sustainable production, Trends in Plant Science, 2514, 2023. |
|
54 |
Kendrick Tan, Boshun Gao, Cheng-Hau Yang, Emily L. Johnson, Ming-Chen Hsu, Alberto Passalacqua, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; A computational framework for transmission risk assessment of aerosolized particles in classrooms, Engineering with Computers, 40:235–256, 2024. |
|
53 |
Cheng-Hau Yang, Kumar Saurabh, Guglielmo Scovazzi, Claudio Canuto, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; Optimal surrogate boundary selection and scalability studies for the shifted boundary method on octree meshes, Computer Methods in Applied Mechanics and Engineering, 419:116686, 2024. |
2023 |
52 |
Ajith Reddy Moola, Aditya Balu, Adarsh Krishnamurthy, Aishwarya Pawar; THB-Diff: A GPU-accelerated differentiable programming framework for THB-splines, Engineering with Computers:1–17, 2023. |
|
51 |
Xuguang Wang, Monu Jaiswal, Ashton Corpuz, Shashwot Paudel, Aditya Balu, Adarsh Krishnamurthy, Ming-Chen Hsu, Jinhui Yan; Photogrammetry-based computational fluid dynamics, Computer Methods in Applied Mechanics and Engineering, 116311, 2023. |
|
50 |
Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy; Deep learning-based 3D multigrid topology optimization of manufacturable designs, Engineering Applications of Artificial Intelligence, 126(C):107033, 2023. |
|
49 |
Jiale Feng, Mojdeh Saadati, Talukder Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy; 3D reconstruction of plants using probabilistic voxel carving, Computers and Electronics in Agriculture, 213:108248, 2023. |
|
48 |
Kumar Saurabh, Peter J. Dudenas, Eliot Gann, Veronica G. Reynolds, Subhrangsu Mukherjee, Daniel Sunday, Tyler B. Martin, Peter A. Beaucage, Michael L. Chabinyc, Dean DeLongchamp, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; CyRSoXS: A GPU-accelerated virtual instrument for polarized resonant soft X-ray scattering, Journal of Applied Crystallography, 56:868–883, 2023. |
|
47 |
Aditya Balu, Manoj R. Rajanna, Joel Khristy, Fei Xu, Adarsh Krishnamurthy, Ming-Chen Hsu; Direct immersogeometric fluid flow and heat transfer analysis of objects represented by point clouds, Computer Methods in Applied Mechanics and Engineering, 404(115742), 2023. |
|
46 |
Josh Mineroff, Balaji Pokuri, Baskar Ganapathysubramanian, Adarsh Krishnamurthy; Optimization framework for patient-specific modeling under uncertainty, International Journal for Numerical Methods in Biomedical Engineering, 39(2):1–22, 2023. |
2022 |
45 |
Aditya Balu, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy; Physics-aware machine learning surrogates for real-time manufacturing digital twin, Manufacturing Letters, 34:71–74, 2022. |
|
44 |
Jaydeep Rade, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar; Deep learning for live cell shape detection and automated AFM navigation, Bioengineering, 9(10):522, 2022. |
|
43 |
Harshil Shah, Sambit Ghadai, Dhruv Gamdha, Alex Schuster, Ivan Thomas, Nathan Greiner, Adarsh Krishnamurthy; GPU-accelerated collision analysis of vehicles in a point cloud environment, IEEE Computer Graphics and Applications, 42(5):37–50, 2022. |
|
42 |
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy; NURBS-Diff: A differentiable programming module for NURBS, Computer Aided Design, 146(103199), 2022. |
|
41 |
Aditya Balu, Sambit Ghadai, Onur Bingol, Adarsh Krishnamurthy; HyBODT: Hybrid bounded distance transform of trimmed NURBS models, Journal of Computing and Information Science in Engineering, 22(4):041008, 2022. |
|
40 |
Harshil Shah, Xin Huang, Onur Bingol, Manoj Rajanna, Adarsh Krishnamurthy; GPU-accelerated post-processing and animated volume rendering of isogeometric analysis results, Computer-Aided Design and Applications, 19(4):779–796, 2022. |
2021 |
39 |
Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy; Algorithm consistent deep learning for structural topology optimization, Engineering Applications of Artificial Intelligence, 106(104483):1–19, 2021. |
|
38 |
Sambit Ghadai, Xian Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy; Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models, 91(102038):1–13, 2021. |
|
37 |
Subhrangsu Mukherjee, Jason K. Streit, Eliot H. Gann, Kumar Saurabh, Daniel F. Sunday, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Lee J. Richter, Richard A. Vaia, Dean M. DeLongchamp; Polarized X-ray scattering measures local chain orientation in polymer-grafted nanoparticles, Nature Communications, 12(1):1–10, 2021. |
|
36 |
Prashant Singh, Rahul Singh, Aayush Sharma, Onur Bingol, Aditya Balu, Ganesh Balasubramanian, Adarsh Krishnamurthy, Soumik Sarkar, Duane D. Johnson; Neural-network model for force prediction in multi-principal-element alloys, Computational Materials Science, 198(110693):1–7, 2021. |
|
35 |
Kumar Saurabh, Boshun Gao, Milinda Fernando, Songzhe Xu, Biswajit Khara, Makrand A. Khanwale, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian; Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis, Computers and Mathematics with Applications, 97:28–44, 2021. |
|
34 |
Nathan Scheirer, Stephen Holland, Adarsh Krishnamurthy; Fiber layup generation on curved composite structures, Computer-Aided Design, 136:103031, 2021. |
|
33 |
Sambit Ghadai, Anushrut Jignasu, Adarsh Krishnamurthy; Direct 3D printing of multilevel voxel models, Additive Manufacturing, 40, 2021. |
|
32 |
Fei Xu, Emily L. Johnson, Chenglong Wang, Arian Jafari, Cheng-Hau Yang, Michael S. Sacks, Adarsh Krishnamurthy, Ming-Chen Hsu; Computational investigation of left ventricular hemodynamics following bioprosthetic aortic and mitral valve replacement, Mechanics Research Communications, 112(103604):1–12, 2021. |
2020 |
31 |
Stephen Holland, Chevonne McInnis, Rafael Radkowski, Adarsh Krishnamurthy; NDE data analysis and modeling in 3D CAD context, Materials Evaluation, 78(1), 2020. |
|
30 |
Ramin Noruzi, Sambit Ghadai, Onur Bingol, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; NURBS-based microstructure design for organic photovoltaics, Computer-Aided Design, 118, 2020. |
2019 |
29 |
Aditya Balu, Sahiti Nallagonda, Fei Xu, Adarsh Krishnamurthy, Ming-Chen Hsu, Soumik Sarkar; A deep learning framework for design and analysis of surgical bioprosthetic heart valves, Scientific Reports, 9(18560), 2019. |
|
28 |
Joshua Mineroff, Andrew McCulloch, David Krummen, Baskar Ganapathysubramanian, Adarsh Krishnamurthy; Optimization framework for patient-specific cardiac modeling, Cardiovascular Engineering and Technology, 10:553–567, 2019. |
|
27 |
Arian Jafari, Edward Pszczolkowski, Adarsh Krishnamurthy; A framework for biomechanics simulations using four-chamber cardiac models, Journal of Biomechanics, 91:92–101, 2019. |
|
26 |
Xiang Li, Adarsh Krishnamurthy, Iddo Hanniel, Sara McMains; Edge topology construction of Voronoi diagrams of spheres in non-general position, Computers & Graphics, 82:332–342, 2019. |
|
25 |
Onur Bingol, Adarsh Krishnamurthy; NURBS-Python: An open-source object-oriented NURBS modeling framework in Python, SoftwareX, 9:85–94, 2019. |
|
24 |
Onur Rauf Bingol, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy; An integrated framework for solid modeling and structural analysis of layered composites with defects, Computer Aided Design, 106:1–12, 2019. |
2018 |
23 |
Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy; Learning localized features in 3D CAD models for manufacturability analysis of drilled holes, Computer Aided Geometric Design, 62:263–275, 2018. |
|
22 |
Gavin Young, Adarsh Krishnamurthy; GPU-accelerated generation and rendering of multi-level voxel representations of solid models, Computers & Graphics, 75:11–24, 2018. |
2017 |
21 |
Chenglong Wang, Fei Xu, Ming-Chen Hsu, Adarsh Krishnamurthy; Rapid B-rep model preprocessing for immersogeometric analysis using analytic surfaces, Computer Aided Geometric Design, 52-53:190–204, 2017. |
|
20 |
Sukriti Dewan, Adarsh Krishnamurthy, Devleena Kole, Giulia Conca, Roy Kerckhoffs, Michael Puchalski, Jeffrey Omens, Heather Sun, Vishal Nigam, Andrew McCulloch; Model of human fetal growth in hypoplastic left heart syndrome: reduced ventricular growth due to decreased ventricular filling and altered shape, Frontiers in Pediatrics, 5:25, 2017. |
|
19 |
Zhongyin Hu, Xiang Li, Adarsh Krishnamurthy, Iddo Hanniel, Sara McMains; Voronoi cells of non-general position spheres using the GPU, Computer-Aided Design and Applications, 14(5):572–581, 2017. |
|
18 |
Austin J. Herrema, Nelson M. Wiese, Carolyn N. Darling, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Ming-Chen Hsu; A framework for parametric design optimization using isogeometric analysis, Computer Methods in Applied Mechanics and Engineering, 316:944–965, 2017. |
2016 |
17 |
Adarsh Krishnamurthy, Matthew J. Gonzales, Gregory Sturgeon, W. Paul Segars, Andrew D. McCulloch; Biomechanics simulations using cubic Hermite meshes with extraordinary nodes for isogeometric cardiac modeling, Computer Aided Geometric Design, 43:27–38, 2016. |
|
16 |
Ming-Chen Hsu, Chenglong Wang, Fei Xu, Austin J. Herrema, Adarsh Krishnamurthy; Direct immersogeometric fluid flow analysis using B-rep CAD models, Computer Aided Geometric Design, 43:143–158, 2016. |
2015 |
15 |
Alessio Meoli, Elena Cutrì, Adarsh Krishnamurthy, Gabriele Dubini, Francesco Migliavacca, Tain-Yen Hsia, Giancarlo Pennati; A multiscale model for the study of cardiac biomechanics in single-ventricle surgeries: A clinical case, Interface Focus, 5(2), 2015. |
|
14 |
Adarsh Krishnamurthy, Christopher Villongco, Amanda Beck, Jeffrey Omens, Andrew McCulloch; Left ventricular diastolic and systolic material property estimation from image data, Statistical Atlases and Computational Models of the Heart-Imaging and Modelling Challenges, 8896:63–73, 2015. |
2013 |
13 |
Matthew J. Gonzales, Gregory Sturgeon, Adarsh Krishnamurthy, Johan Hake, RenĂ© Jonas, Paul Stark, Wouter-Jan Rappel, Sanjiv M. Narayan, Yongjie Zhang, W. Paul Segars, Andrew D. McCulloch; A three-dimensional finite element model of human atrial anatomy: new methods for cubic-Hermite meshes with extraordinary vertices, Medical Image Analysis, 17(5):525–537, 2013. |
|
12 |
Elliot J. Howard, Roy C.P. Kerckhoffs, Kevin P. Vincent, Adarsh Krishnamurthy, Christopher T. Villongco, Lawrence J. Mulligan, Andrew D. McCulloch, Jeffrey H. Omens; Myofiber prestretch magnitude determines regional systolic function during ectopic activation in the tachycardia-induced failing canine heart, American Journal of Physiology-Heart and Circulatory Physiology, 305(2):192–202, 2013. |
|
11 |
Adarsh Krishnamurthy, Christopher T. Villongco, Joyce Chuang, Lawrence R. Frank, Vishal Nigam, Ernest Belezzuoli, Paul Stark, David E. Krummen, Sanjiv Narayan, Jeffrey H. Omens, Andrew D. McCulloch, Roy C.P. Kerckhoffs; Patient-specific models of cardiac biomechanics, Journal of Computational Physics, 244:4–21, 2013. |
|
10 |
Jared R. Tangney, Joyce S. Chuang, Matthew S. Janssen, Adarsh Krishnamurthy, Peter Liao, Masahiko Hoshijima, Xin Wu, Gerald A. Meininger, Mariappan Muthuchamy, Alice Zemlijic-Harpf, Robert S. Ross, Lawrence R. Frank, Andrew D. McCulloch, Jeffrey H. Omens; Novel role for Vinculin in ventricular myocyte mechanics and dysfunction, Biophysical Journal, 104(7):1623–1633, 2013. |
2012 |
9 |
Iddo Hanniel, Adarsh Krishnamurthy, Sara McMains; Computing the Hausdorff distance between NURBS surfaces using numerical iteration on the GPU, Graphical Models, 74(4):255–264, 2012. |
|
8 |
Yongjie Zhang, Xinghua Liang, Jun Ma, Yiming Jing, Matthew J. Gonzales, Christopher Villongco, Adarsh Krishnamurthy, Lawrence R. Frank, Vishal Nigam, Paul Stark, Sanjiv M. Narayan, Andrew D. McCulloch; An atlas-based geometry pipeline for cardiac Hermite model construction and diffusion tensor reorientation, Medical Image Analysis, 16(6):1130–1141, 2012. |
2011 |
7 |
Jazmin Aguado-Sierra, Adarsh Krishnamurthy, Christopher Villongco, Joyce Chuang, Elliot Howard, Matthew J. Gonzales, Jeff Omens, David E. Krummen, Sanjiv Narayan, Roy C. P. Kerckhoffs, Andrew D. McCulloch; Patient-specific modeling of dyssynchronous heart failure: a case study, Progress in Biophysics and Molecular Biology, 107(1):147–155, 2011. |
|
6 |
Adarsh Krishnamurthy, Sara McMains, Kirk Haller; GPU-accelerated minimum distance and clearance queries, IEEE Transactions on Visualization and Computer Graphics, 17(6):729–742, 2011. |
|
5 |
Adarsh Krishnamurthy, Sara McMains, Iddo Hanniel; GPU-accelerated Hausdorff distance computation between dynamic deformable NURBS surfaces, Computer-Aided Design, 43(11):1370–1379, 2011. |
|
4 |
Adarsh Krishnamurthy, Sara McMains; Accurate GPU-accelerated surface integrals for moment computation, Computer-Aided Design, 43(10):1284–1295, 2011. |
2009 |
3 |
Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains, Kirk Haller, Gershon Elber; Performing efficient NURBS modeling operations on the GPU, IEEE Transactions on Visualization and Computer Graphics, 15(4):530–543, 2009. |
|
2 |
Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains; Optimized GPU evaluation of arbitrary degree NURBS curves and surfaces, Computer-Aided Design, 41(12):971–980, 2009. |
2006 |
1 |
Adarsh Krishnamurthy, Mohan K. Varadarajan Soumya Karthikeyan, Chitti Venkata Krishnamurthy, Krishnan Balasubramaniam; A simulation tool for ultrasonic inspection, Journal of the Korean Society of Non-Destructive Testing, 26(3):153–161, 2006. |
|
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2024 |
50 |
Anushrut Jignasu, Kelly O. Marshall, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy; Evaluating large language models for G-code debugging, manipulation, and comprehension, IEEE LLM Aided Design Workshop (LAD), 2024. |
|
49 |
Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy; SDFConnect: Neural implicit surface reconstruction of a sparse point cloud with topological constraints, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Deep Learning for Geometric Computing (DLGC), pp. 5271–5279, 2024. |
|
48 |
Jaydeep Rade, Ethan Herron, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy; 3D reconstruction of protein structures from multi-view AFM images using Neural Radiance Fields (NeRFs), Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Deep Learning for Geometric Computing (DLGC), 2024. |
2023 |
47 |
Anushrut Jignasu, Jeremy D. Rurup, Ethan B. Secor, Adarsh Krishnamurthy; Conformal aerosol jet printing using a 3-axis printer, Proceedings of the North American Manufacturing Research Conference, vol. 35, pp. 523–528, 2023. |
|
46 |
Lijie Liu, Qing Li, Adarsh Krishnamurthy, Stephen D. Holland, Zhan Zhang; A new CADConform method to match as-built geometry with trimmed NURBS, ASNT Research Conference, 2023. |
|
45 |
Lijie Liu, Stephen Holland, Adarsh Krishnamurthy, Qing Li, Zhan Zhang; Deforming CAD models to match as-built geometry in order to facilitate fusion of nondestructive evaluation data, Annual Conference of the Institute of Industrial and Systems Engineers, vol. 1623, 2023. |
|
44 |
Anushrut Jignasu, Ethan Herron, Talukder Zaki Jubery, James Afful, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy; Plant geometry reconstruction from field data using neural radiance fields, AAAI workshop on AI for Agriculture and Food Systems (AIAFS), 2023. |
2022 |
43 |
Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy; 3D reconstruction of protein complex structures using synthesized multi-view AFM images, NeurIPS Workshop on Machine Learning in Structural Biology, 2022. |
|
42 |
Ethan Herron, Xian Yeow Lee, Aditya Balu, Balaji Sesha Sarath Pokuri, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy; Generative design of material microstructures for organic solar cells using diffusion models, NeurIPS Workshop on AI for Accelerated Materials Design (AI4Mat), 2022. |
|
41 |
Jaydeep Rade, Soumik Sarkar, Adarsh Krishnamurthy, Anwesha Sarkar; Virtual AFM: Generating synthetic 2D multi-view images from 3D protein structure, Conference of the Biomedical Engineering Society Annual Meeting, 2022. |
|
40 |
Jaydeep Rade, Aditya Balu, Ethan Herron, Anushrut Jignasu, Sergio Botelho, Santi Adavani, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy; Multigrid distributed deep CNNs for structural topology optimization, AAAI workshop on AI for Design and Manufacturing (ADAM), 2022. |
|
39 |
Ethan Herron, Anushrut Jignasu, Jaydeep Rade, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar; Fast unsupervised generative design for structural topology optimization, AAAI workshop on AI for Design and Manufacturing (ADAM), 2022. |
|
38 |
Xian Yeow Lee, Aditya Balu, Balaji Sesha Sarath Pokuri, Adarsh Krishnamurthy, Soumik Sarkar, Baskar Ganapathysubramanian; Inverse design of microstructures via generative networks for organic solar cells, AAAI workshop on AI for Design and Manufacturing (ADAM), 2022. |
|
37 |
Anjana Deva Prasad, Anushrut Jignasu, Zaki Jubery, Soumik Sarkar, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy; Deep implicit surface reconstruction of 3D plant geometry from point cloud, AAAI workshop on AI for Agriculture and Food Systems (AIAFS), 2022. |
|
36 |
Lijie Liu, Weijun Shen, Qing Li, Adarsh Krishnamurthy, Stephen D. Holland, Zhan Zhang; NDE data fusion between inconsistent geometries, ASNT Research Symposium, 2022. |
|
35 |
Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar; Concept activation vectors for generating user-defined 3D shapes, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Deep Learning for Geometric Computing (DLGC), pp. 2993–3000, 2022. |
2021 |
34 |
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde; Differentiable spline approximations, Proceedings of the Neural Information Processing Systems, 2021. |
|
33 |
Kumar Saurabh, Santi Adavani, Kendrick Tan, Masado Ishii, Boshun Gao, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian; Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources, SC Workshops Supplementary Proceedings (SCWS), pp. 79–86, 2021. |
|
32 |
Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian; Scalable adaptive PDE solvers in arbitrary domains, SC ’21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, (20), 2021. |
|
31 |
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian; Distributed multigrid neural solver on megavoxel domains, SC ’21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, (49), 2021. |
|
30 |
Jaydeep Rade, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar; AI guided measurement of live cells using AFM, Modeling, Estimation and Control Conference, vol. 54, (20), pp. 316–321, 2021. |
|
29 |
Harshil Shah, Xin Huang, Onur Bingol, Manoj Rajanna, Adarsh Krishnamurthy; GPU-accelerated animated volume rendering of isogeometric analysis results, Proceedings of the CAD Conference, pp. 177–181, Best Paper, 2021. |
|
28 |
Biswajit Khara, Aditya Balu, Ameya Joshi, Adarsh Krishnamurthy, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian; Field solutions of parametric PDEs, Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, 2021. |
2020 |
27 |
Aditya Balu, Sambit Ghadai, Soumik Sarkar, Adarsh Krishnamurthy; Orthogonal distance fields representation for machine-learning based manufacturability analysis, International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2020. |
|
26 |
Ameya Joshi, Xian Lee, Aditya Balu, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Soumik Sarkar, Chinmay Hegde; Differentiable programming for piecewise polynomial functions, NeurIPS Workshop on Learning Meets Combinatorial Algorithms, 2020. |
2019 |
25 |
Onur Rauf Bingol, Jared Taylor, Stephen D. Holland, Adarsh Krishnamurthy; De-La-Mo: A framework for structural analysis of layered composites with defects, Review of Progress in Quantitative Nondestructive Evaluation, 2019. |
|
24 |
Stephen D. Holland, Adarsh Krishnamurthy; SpatialNDE2: A library to facilitate the use of geometry in NDE modeling and data analysis, Review of Progress in Quantitative Nondestructive Evaluation, 2019. |
|
23 |
Sambit Ghadai, Xian Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy; Multi-level 3D CNN for learning multi-scale spatial features, CVPR Workshop SkelNetOn: Deep Learning for Geometric Shape Understanding, 2019. |
|
22 |
Zhan Zhang, Sambit Ghadai, Onur Bingol, Adarsh Krishnamurthy, Leonard J. Bond; A framework for 3D X-ray CT iterative reconstruction using GPU-accelerated ray casting, Review of Progress in Quantitative Nondestructive Evaluation, 2019. |
2018 |
21 |
Stephen D. Holland, Adarsh Krishnamurthy, Onur Rauf Bingol, Robert J. Grandin; Automated construction and insertion of layer-by layer finite element sub-models of damaged composites, Proceedings of the American Society for Composites, 2018. |
|
20 |
Stephen D. Holland, Rafael Radkowski, Adarsh Krishnamurthy; 2D surface parameterizations for temporal and multi-modality NDE data fusion, Review of Progress in Quantitative Nondestructive Evaluation, 2018. |
|
19 |
Robert J. Grandin, Gavin Young, Stephen D. Holland, Adarsh Krishnamurthy; GPU-accelerated depth map generation for X-ray simulations of complex CAD geometries, Review of Progress in Quantitative Nondestructive Evaluation, 2018. |
2017 |
18 |
Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar; Learning and visualizing localized geometric features using 3D-CNN: An application to manufacturability analysis of drilled holes, NIPS Symposium on Interpretable Machine Learning, 2017. |
|
17 |
Stephen D. Holland, Adarsh Krishnamurthy, Onur Rauf Bingol, Robert J. Grandin; Automated construction of layer-by-layer finite element sub-models of damaged composites based on NDE data, Proceedings of the American Society for Composites, 2017. |
|
16 |
Onur Rauf Bingol, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy; Incorporation of composite defects from ultrasonic NDE in CAD and FE models, Review of Progress in Quantitative Nondestructive Evaluation, Vol. 1806, pp. 150004, 2017. |
2016 |
15 |
Adarsh Krishnamurthy, Christopher Villongco, Jeffrey Omens, Andrew McCulloch; Patient-specific computational models show negative myocardial work is a sensitive indicator of CRT response, Proceedings of the IEEE Engineering in Medicine and Biology Conference, 2016. |
|
14 |
Zhongyin Hu, Xiang Li, Adarsh Krishnamurthy, Iddo Hanniel, Sara McMains; Voronoi cells of non-general position spheres using the GPU, Proceedings of the Computer-Aided Design Conference, 2016. |
2015 |
13 |
Sukriti Dewan, Adarsh Krishnamurthy, Roy Kerckhoffs, Heather Sun, Jeffrey Omens, Vishal Nigam, Andrew McCulloch; Human fetal growth model of hypoplastic left heart syndrome: Reduced ventricular growth due to decreased preload, Conference of the Biomedical Engineering Society Annual Meeting, Reviewer Choice Award, 2015. |
2014 |
12 |
Sukriti Dewan, Adarsh Krishnamurthy, Roy Kerckhoffs, Heather Sun, Jeffrey Omens, Vishal Nigam, Andrew McCulloch; Human fetal growth model of hypoplastic left heart syndrome: Reduced ventricular growth due to decreased preload, Proceedings of the AHA Scientific Sessions, 2014. |
2013 |
11 |
Adarsh Krishnamurthy, Christopher Villongco, David Krummen, Sanjiv Narayan, Jeffrey Omens, Roy Kerckhoffs, Andrew McCulloch; CRT response is greater in patients with larger fraction of the myocardium performing negative regional work, Proceedings of the AHA Scientific Sessions, 2013. |
|
10 |
Adarsh Krishnamurthy, Matthew Gonzales, Christopher Villongco, Gregory Sturgeon, W. Paul Segars, Roy Kerckhoffs, Andrew McCulloch; New finite-element methods for biomechanics simulations of the whole heart using cubic-Hermite meshes with extraordinary nodes, Proceedings of Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE), 2013. |
2012 |
9 |
Adarsh Krishnamurthy, Christopher Villongco, Jeffrey Omens, Roy Kerckhoffs, Andrew McCulloch; Patient-specific biomechanics models of the heart, Proceedings of the IEEE Engineering Medicine and Biology Conference (EMBC), 2012. |
2011 |
8 |
Yongjie Zhang, Xinghua Liang, Jun Ma, Yiming Jing, Matthew Gonzales, Adarsh Krishnamurthy, Paul Stark, Sanjiv Narayan, Andrew McCulloch; An atlas-based geometry pipeline for cardiac Hermite model construction, Workshop on Mesh Processing in Medical Image Analysis (MeshMed), 2011. |
2010 |
7 |
Adarsh Krishnamurthy, Sara McMains; Accurate moment computation using the GPU, Proceedings of the ACM Symposium of Solid and Physical Modeling, 2010. |
2009 |
6 |
Adarsh Krishnamurthy, Wei Li, Sara McMains; Simulation and optimization of the water-jet cleaning process, Proceedings of the ASME Design Engineering Technical Conferences, Design Automation Conference, 2009. |
|
5 |
Adarsh Krishnamurthy, Sara McMains, Kirk Haller; Accelerating geometric queries using the GPU, Proceedings of the SIAM/ACM Joint Conference on Geometric and Physical Modeling, Best Paper Finalist, 2009. |
2008 |
4 |
Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains, Kirk Haller, Gershon Elber; Performing efficient NURBS modeling operations on the GPU, Proceedings of the ACM Symposium on Solid and Physical Modeling, Best Paper - Second Place, 2008. |
2007 |
3 |
Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains; Direct evaluation of NURBS curves and surfaces on the GPU, Proceedings of the ACM Symposium on Solid and Physical Modeling, Best Poster Award, 2007. |
2006 |
2 |
Adarsh Krishnamurthy, Soumya Karthikeyan, Chitti Venkata Krishnamurthy, Krishnan Balasubramaniam; Simultsonic: a simulation tool for ultrasonic inspection, Review of Progress in Quantitative Nondestructive Evaluation, Vol. 25B, pp. 1894–1901, 2006. |
2003 |
1 |
Bharat Rangan, Adarsh Krishnamurthy, Vijay R. Raghavan; Analysis of flow and heat transfer at a finned tube in crossflow, Proceedings of ASME Summer Heat Transfer Conference, pp. 917-922, HT2003-47541, 2003. |
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2024 |
72 |
Ashton Corpuz, Mehdi Saraeian, Clayton Burkhalter, Adarsh Krishnamurthy, Ming-Chen Hsu; Effects of bicuspid aortic valve morphology on hemodynamics in the ascending aorta, World Congress on Computational Mechanics, 2024. |
|
71 |
Samundra Karki, Mehdi Shadkhah, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; Implicit geometric representation for the construction of octree-meshes for finite element analysis, World Congress on Computational Mechanics, 2024. |
|
70 |
Cheng-Hau Yang, Guglielmo Scovazzi, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; Shifted boundary method for flow simulations over complex objects, World Congress on Computational Mechanics, 2024. |
|
69 |
Adarsh Krishnamurthy; Foundational models for additive manufacturing, National Academies Workshop on Methods for Enhancing Additive Manufacturing Qualification and Certification for Defense Applications, 2024. |
|
68 |
Lijie Liu, Stephen Holland, Adarsh Krishnamurthy, Qing Li; Evaluating distortion between as-designed and as-built geometries from a superposition of resonant mode shapes, Annual Conference of the Institute of Industrial and Systems Engineers, 2024. |
|
67 |
Anushrut Jignasu, Kelly Marshall, Chinmay Hegde, Adarsh Krishnamurthy; Large language models for manufacturing automation using G-Codes, IEEE Workshop onReliable and Resilient Digital Manufacturing, 2024. |
|
66 |
Adarsh Krishnamurthy; Multiscale digital twins of plants for resilient agriculture, Plant and Animal Genome Conference, Jan 13, 2024. |
2023 |
65 |
Mehdi Saraeian, Ashton Corpuz amd Grant Neighbor, Han Zhao, David Kamensky, Adarsh Krishnamurthy, Ming-Chen Hsu; Open-source framework for in-silico studies of surgical bioprosthetic heart valves, US National Congress on Computational Mechanics, Page 823, 2023. |
|
64 |
Aishwarya Pawar, Colton Ross, Adarsh Krishnamurthy, Chung-Hao Lee, Ming-Chen Hsu; PDE-constrained surface registration for patient-specific tricuspid valve modeling in newborns with hypoplastic left heart syndrome (HLHS), US National Congress on Computational Mechanics, Page 712, 2023. |
|
63 |
Ashton Corpuz, Mehdi Saraeian, Han Zhao, David Kamensky, Adarsh Krishnamurthy, Ming-Chen Hsu; Effects of bicuspid aortic valve morphology on the hemodynamics in the ascending aorta, US National Congress on Computational Mechanics, Page 188, 2023. |
|
62 |
Ajith Reddy Moola, Aditya Balu, Adarsh Krishnamurthy, Aishwarya Pawar; Differentiable programming of THB-Splines for CAD modeling and isogeometric analysis, US National Congress on Computational Mechanics, Page 619, 2023. |
|
61 |
Sreeparna Majee, Akshita Sahni, Ricardo Roopnarinesingh, Aditya Balu, Adarsh Krishnamurthy, Debanjan Mukherjee; Distance field-based algorithms for particle contact modeling in physiological flows, US National Congress on Computational Mechanics, Page 586, 2023. |
|
60 |
Ethan Herron, Aditya Balu, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Soumik Sarkar; Generative modeling in scientific machine learning, US National Congress on Computational Mechanics, Page 825, 2023. |
|
59 |
Aditya Balu, Manoj Rajanna, Ming-Chen Hsu, Adarsh Krishnamurthy; Direct fluid flow and heat transfer analysis of objects represented by point clouds, US National Congress on Computational Mechanics, Page 385, 2023. |
|
58 |
Cheng-Hau Yang, Kumar Saurabh, Guglielmo Scovazzi, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; Optimal surrogate boundary of complex CAD models for solving PDEs using the shifted boundary method, US National Congress on Computational Mechanics, Page 1090, 2023. |
|
57 |
Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy; Multigrid deep learning for 3D structural topology optimization, US National Congress on Computational Mechanics, Page 756, 2023. |
|
56 |
Mehdi Saraeian, Grant Neighbor, Han Zhao, David Kamensky, Adarsh Krishnamurthy, Ming-Chen Hsu; Open-source in-silico studies of surgical bioprosthetic heart valves, Cardiac Physiome Workshop, 2023. |
2022 |
55 |
Aditya Balu, Emily Johnson, Chung-Hao Lee, Ming-Chen Hsu, Adarsh Krishnamurthy; Biomedical applications of a differentiable NURBS module, Isogeometric Analysis Conference, 2022. |
|
54 |
Nasla Saleem, Therin Young, Yan Zhou, Jiale Feng, Anushrut Jignasu, Aditya Balu, Talukder Z. Jubery, Patrick Schnable, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; A virtual framework for estimating canopy light interception of field-grown maize, Machine Learning for Cyber-Agricultural Systems, 2022. |
|
53 |
Shambhavi Joshi, Anushrut Jignasu, Therin Young, Dinakaran Elango, Talukder Z. Jubery, Sarah E. Jones, Aditya Balu, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh, Adarsh Krishnamurthy; Virtual reality assisted stress tolerance rating of soybean varieties, Machine Learning for Cyber-Agricultural Systems, 2022. |
|
52 |
Zebadiah Miles, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Sunil Kishore Chakrapani; Ultrasonic digital twin of additively manufactured samples, Review of Progress in Quantitative Nondestructive Evaluation, 98255, 2022. |
|
51 |
Mehdi Saraeian, Adarsh Krishnamurthy, Ming-Chen Hsu; Effect of non-sinus-matching bioprosthetic aortic valve design on coronary flow, World Congress on Computational Mechanics, Page 757, 2022. |
2021 |
50 |
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian; Distributed multigrid neural solver on megavoxel domains, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology, 2021. |
|
49 |
Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy; Algorithm consistent deep learning for structural topology optimization, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology, 2021. |
|
48 |
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy; NURBS-Diff: A differentiable programming module for NURBS, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology, 2021. |
|
47 |
Aditya Balu, Joel Khristy, Manoj R. Rajanna, Adarsh Krishnamurthy, Ming-Chen Hsu; Immersogeometric analysis of flow over point cloud representations of objects, US National Congress on Computational Mechanics, Page 8, 2021. |
|
46 |
Anushrut Jignasu, Sambit Ghadai, Adarsh Krishnamurthy; Direct fused deposition modeling (FDM) additive manufacturing of voxelized CAD models, US National Congress on Computational Mechanics, Page 443, 2021. |
|
45 |
Biswajit Khara, Aditya Balu, Ameya Joshi, Adarsh Krishnamurthy, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian; Field solutions of parametric PDEs, US National Congress on Computational Mechanics, Page 465, 2021. |
|
44 |
Cheng-Hau Yang, Kumar Saurabh, Hari Sundar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian; Massively parallel implementation of the finite cell method on incomplete octrees, US National Congress on Computational Mechanics, Page 785, 2021. |
|
43 |
Harshil Shah, Onur Rauf Bingol, Emily Johnson, Manoj Rajanna, Ming-Chen Hsu, Adarsh Krishnamurthy; Modeling and isogeometric analysis of thin layered structures using volumetric NURBS, US National Congress on Computational Mechanics, Page 839, 2021. |
|
42 |
Jaydeep Rade, Ethan Herron, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy; Physics aware machine learning for structural topology optimization, US National Congress on Computational Mechanics, Page 861, 2021. |
|
41 |
Kendrick Tan, Boshun Gao, Cheng-Hau Yang, Emily Johnson, Ming-Chen Hsu, Adarsh Krishnamurthy, Alberto Passalacqua, Baskar Ganapathysubramanian; An immersogeometric approach for transmission risk assessment in classrooms, US National Congress on Computational Mechanics, Page 894, 2021. |
|
40 |
Kumar Saurabh, Boshun Gao, Masado Ishii, Milinda Fernando, Makrand Khanwale, Biswajit Khara, Sudeep Menon, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian; Industrial scale simulations using Immersogeometric analysis on Octree meshes, US National Congress on Computational Mechanics, Page 899, 2021. |
|
39 |
Mehdi Saraeian, Arian Jafari, Remy Braun, Ming-Chen Hsu, Adarsh Krishnamurthy; Coupled left ventricular and atrial FSI simulations with bioprosthetic valves, US National Congress on Computational Mechanics, Page 932, 2021. |
|
38 |
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Adarsh Krishnamurthy; A deep learning framework for NURBS-aware CAD reconstruction from point clouds, NVIDIA GPU Technology Conference, S31506, 2021. |
|
37 |
Jaydeep Rade, Aditya Balu, Ethan Herron, Soumik Sarkar, Adarsh Krishnamurthy; Deep learning-accelerated topology optimization, NVIDIA GPU Technology Conference, S31593, 2021. |
2020 |
36 |
Anushrut Jignasu, Sambit Ghadai, Adarsh Krishnamurthy; Direct 3D printing of computer-aided design (CAD) models, National Council of Undergradauate Research Conference, 2020. |
|
35 |
Harshil Shah, Xin Huang, Onur Bingol, Adarsh Krishnamurthy; GPU-accelerated animated volume rendering of isogeometric analysis results, NVIDIA Digital GPU Technology Conference, 2020. |
|
34 |
Anjana Deva Prasad, Aditya Balu, Adarsh Krishnamurthy; CAD model reconstruction using NURBS-aware deep learning, International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Poster, 2020. |
|
33 |
Joseph Bungo, Adarsh Krishnamurthy; Accelerated computing teaching kit for university educators: Introduction and use cases, DLI Educators Roundtable, NVIDIA Digital GPU Technology Conference, vol. S22414, 2020. |
2019 |
32 |
Aditya Balu, Sahiti Nallagonda, Fei Xu, Ming-Chen Hsu, Soumik Sarkar, Adarsh Krishnamurthy; Physics consistent deep learning for bioprosthetic heart valves, International Mechanical Engineering Congress and Exposition, 2019. |
|
31 |
Aditya Balu, Cheng Hao Wu, Soumik Sarkar, Ming-Chen Hsu, Adarsh Krishnamurthy; Deep learning for dynamic deformation simulation of bioprosthetic heart valves, US National Congress on Computational Mechanics, Page 46, 2019. |
|
30 |
Arian Jafari, Anushrut Jignasu, Adarsh Krishnamurthy; Modeling the deformation of a four chamber cardiac model with pericardium, US National Congress on Computational Mechanics, Page 324, 2019. |
|
29 |
Aditya Balu, Ming-Chen Hsu, Soumik Sarkar, Adarsh Krishnamurthy; A deep-learning framework for diagnostics and design of bioprosthetic heart valves, BMES/FDA Frontiers in Medical Devices, 2019. |
|
28 |
Aditya Balu, Sahiti Nallagonda, Ming-Chen Hsu, Soumik Sarkar, Adarsh Krishnamurthy; Deep learning framework for diagnostics and patient-specific design of bioprosthetic heart valves, NVIDIA GPU Technology Conference, vol. S9455, 2019. |
2018 |
27 |
Sambit Ghadai, Aditya Balu, Xian Lee, Soumik Sarkar, Adarsh Krishnamurthy; Multi-level 3D convolutional neural network for object recognition, NVIDIA GPU Technology Conference, 2018. |
|
26 |
Arian Jafari, Edward Pszczolkowski, Adarsh Krishnamurthy; Modeling the biomechanics of a four chamber cardiac model with myocardial infarction, World Congress on Computational Mechanics, 2018. |
|
25 |
Aditya Balu, Sahiti Nallagonda, Fei Xu, Adarsh Krishnamurthy, Ming-Chen Hsu, Soumik Sarkar; Machine learning for diagnostics and patient-specific design of bioprosthetic heart valves, USACM Conference on Isogeometric Analysis and Meshfree Methods, Page 8, 2018. |
|
24 |
Onur Rauf Bingol, Nathan Schierer, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy; Automated processing for structural analysis of layered composite structures with defects, Review of Progress in Quantitative Nondestructive Evaluation, 2018. |
2017 |
23 |
Onur Rauf Bingol, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy; Integrated CAD and structural analysis of composites with defects, NDE Conference India, 2017. |
|
22 |
Chenglong Wang, Arian Jafari, Fei Xu, David Kamensky, Ming-Chen Hsu, Adarsh Krishnamurthy; Coupled left ventricular biomechanics and flow simulations with immersed FSI valves, Engineering Mechanics Institute Conference, MS 12 Abstract 934, 2017. |
|
21 |
Onur Rauf Bingol, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, Adarsh Krishnamurthy; A framework for solid modeling and structural analysis of composites with defects, Symposium on Solid and Physical Modeling, Poster Presentation, 2017. |
|
20 |
Aditya Balu, Sambit Ghadai, Soumik Sarkar, Adarsh Krishnamurthy; GPU-accelerated deep learning framework for cyber-enabled manufacturing, NVIDIA GPU Technology Conference, Session ID S7397, 2017. |
2016 |
19 |
Adarsh Krishnamurthy, Chenglong Wang, Fei Xu, Ming-Chen Hsu; Immersogeometric fluid-flow analysis using B-rep CAD models with analytic surfaces, USACM Conference on Isogeometric Analysis and Meshfree Methods, 2016. |
|
18 |
Arian Jafari, Edward Pszczolkowski, Adarsh Krishnamurthy; Cardiac isogeometric simulations using cubic Hermite meshes with extraordinary nodes, Engineering Mechanics Institute Conference, 2016. |
2015 |
17 |
Sukriti Dewan, Adarsh Krishnamurthy, Roy Kerckhoffs, Heather Sun, Jeffrey Omens, Vishal Nigam, Andrew McCulloch; Human fetal growth model of hypoplastic left heart syndrome, SIAM Conference on Computational Science and Engineering, 2015. |
|
16 |
Adarsh Krishnamurthy, Baskar Ganapathysubramnaian; Scalable manufacturing of shaped polymers, nVIDIA GPU Technology Conference, Poster Presentation, 2015. |
|
15 |
Adarsh Krishnamurthy, Christopher Villongco, Jeffrey Omens, Andrew McCulloch; Work heterogeneity predicts patient response in cardiac resynchronization therapy, US National Congress on Computational Mechanics, 2015. |
|
14 |
Sara McMains, Adarsh Krishnamurthy, Iddo Hanniel; GPU approaches to distance calculations for freeforms, SIAM Conference on Geometric and Physical Modeling, 2015. |
|
13 |
Kevin Vincent, Andrew McCulloch, Christopher Villongco, Adarsh Krishnamurthy, David Krummen; Multi-scale modeling of the failing heart: From molecule to patient, SIAM Conference on Computational Science and Engineering, 2015. |
2013 |
12 |
Adarsh Krishnamurthy, Christopher Villongco, Jeffrey Omens, Roy Kerckhoffs, Andrew McCulloch; Patient-specific computational cardiac modeling for predicting CRT response, 14th UC Systemwide Bioengineering Symposium, Poster Presentation, 2013. |
2012 |
11 |
Adarsh Krishnamurthy, Christopher Villongco, Jeffrey Omens, Roy Kerckhoffs, Andrew McCulloch; Multi-scale modeling of patient-specific ventricular geometry, fiber structure, and biomechanics, Biophysical Society Annual Meeting, Poster Presentation, 2012. |
|
10 |
Adarsh Krishnamurthy, Christopher Villongco, Jeffrey Omens, Roy Kerckhoffs, Andrew McCulloch; Acute CRT response correlates with regional variation in work density from patient-specific ventricular models, Cardiac Physiome Workshop, Poster Presentation, 2012. |
|
9 |
Adarsh Krishnamurthy, Jared Tangney, Benjamin Coppola, Roy Kerckhoffs, Jeffrey Omens, Andrew McCulloch; Multi-scale constitutive model of active myocardial mechanics, Cardiac Physiome Workshop, Poster Presentation, 2012. |
|
8 |
Adarsh Krishnamurthy, Iddo Hanniel, Sara McMains; Computing Hausdorff distances between freeforms on the GPU, NVIDIA GPU Technology Conference, Session ID 0410, 2012. |
2010 |
7 |
Adarsh Krishnamurthy, Sara McMains; GPU algorithms for NURBS minimum distance and clearance computations, NVIDIA GPU Technology Conference, Poster Presentation, 2010. |
|
6 |
Adarsh Krishnamurthy, Sara McMains; Parallel algorithms for interactive mechanical CAD, NVIDIA GPU Technology Conference, Session ID 2171, 2010. |
2009 |
5 |
Sara McMains, Adarsh Krishnamurthy; Parallel GPU algorithms for interactive CAD/CAM operations, Proceedings of the NSF Engineering Research and Innovation Conference, Poster Presentation, 2009. |
2008 |
4 |
David Dornfeld, Sara McMains, Diego Arbelaez, Miguel Avila, Adarsh Krishnamurthy, Wei Li, Yusuke Yasui; Cleanability of mechanical components, Proceedings of the NSF Engineering Research and Innovation Conference, 2008. |
|
3 |
Sara McMains, Adarsh Krishnamurthy, Rahul Khardekar, Wei Li; Design and manufacturing using GPUs, Proceedings of the NSF Engineering Research and Innovation Conference, 2008. |
2007 |
2 |
Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains, Kirk Haller, Xiaobin Wu; NURBS modeling operations on GPUs, SIAM Geometric Design and Computing Conference, 2007. |
2003 |
1 |
Sandeep Dewangan, Bharat Rangan, Adarsh Krishnamurthy, Gopichand Katragadda; Generic ultrasonic 3D ray tracing incorporating beam energy models, Review of Progress in Quantitative Non Destructive Evaluation, 2003. |
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