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ORCIDVijay S. Kumar
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2020 – today
- 2023
[c19]Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi:
A Practical Entity Linking System for Tables in Scientific Literature. SDU@AAAI 2023- [c18]Varish Mulwad, Vijay S. Kumar, Jenny Weisenberg Williams, Tim Finin, Sharad Dixit, Anupam Joshi:
Towards Semantic Exploration of Tables in Scientific Documents. ESWC Workshops 2023 - [c17]Vijay S. Kumar, Varish Mulwad, Jenny Weisenberg Williams, Tim Finin, Sharad Dixit, Anupam Joshi:
Knowledge Graph-driven Tabular Data Discovery from Scientific Documents. VLDB Workshops 2023 - [i2]Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi:
A Practical Entity Linking System for Tables in Scientific Literature. CoRR abs/2306.10044 (2023) - 2022
- [i1]Varish Mulwad, Andrew Crapo, Vijay S. Kumar, James Jobin, Alfredo Gabaldon, Nurali Virani, Sharad Dixit, Narendra Joshi:
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text. CoRR abs/2202.13739 (2022) - 2021
- [c16]Vijay S. Kumar, Sharad Dixit, Kareem S. Aggour
, Jenny Weisenberg Williams, Paul Cuddihy:
On-demand Knowledge Graphs for Standards-Based Power Grid Data Provisioning. IEA/AIE (2) 2021: 485-492 - [c15]Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour, Pengyuan Wang, Philip J. Hart, Weizhong Yan:
Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective. ISGT 2021: 1-5 - 2020
- [c14]Paul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit:
FDC Cache: Semantics-driven Federated Caching and Querying for Big Data. IEEE BigData 2020: 1493-1502
2010 – 2019
- 2019
- [c13]Kareem S. Aggour, Vijay S. Kumar, Paul Cuddihy, Jenny Weisenberg Williams, Vipul Gupta, Laura Dial, Timothy Hanlon, Justin Gambone, Joseph Vinciquerra:
Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing. IEEE BigData 2019: 1729-1738 - [c12]Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour:
NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning. DEEM@SIGMOD 2019: 10:1-10:4 - 2017
- [c11]Justin McHugh, Paul E. Cuddihy, Jenny Weisenberg Williams, Kareem S. Aggour, Vijay S. Kumar, Varish Mulwad:
Integrated access to big data polystores through a knowledge-driven framework. IEEE BigData 2017: 1494-1503 - 2015
- [c10]Kareem S. Aggour, Vijay S. Kumar, Dipen P. Sangurdekar, Lee A. Newberg, Chinnappa D. Kodira:
A highly parallel next-generation DNA sequencing data analysis pipeline in Hadoop. BIBM 2015: 756-763 - 2012
- [c9]Abhishek Verma, Ludmila Cherkasova, Vijay S. Kumar, Roy H. Campbell:
Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle. NOMS 2012: 900-905 - 2010
- [j4]Vijay S. Kumar, Tahsin M. Kurç, Varun Ratnakar, Jihie Kim, Gaurang Mehta, Karan Vahi, Yoon-Ju Lee Nelson, P. Sadayappan, Ewa Deelman, Yolanda Gil, Mary W. Hall, Joel H. Saltz:
Parameterized specification, configuration and execution of data-intensive scientific workflows. Clust. Comput. 13(3): 315-333 (2010)
2000 – 2009
- 2009
- [j3]Tahsin M. Kurç, Shannon Hastings, Vijay S. Kumar, Stephen Langella, Ashish Sharma, Tony Pan, Scott Oster, David Ervin, Justin Permar, Sivaramakrishnan Narayanan, Yolanda Gil, Ewa Deelman, Mary W. Hall, Joel H. Saltz:
HPC and Grid Computing for Integrative Biomedical Research. Int. J. High Perform. Comput. Appl. 23(3): 252-264 (2009) - [c8]Vijay S. Kumar, P. Sadayappan, Gaurang Mehta, Karan Vahi, Ewa Deelman, Varun Ratnakar, Jihie Kim, Yolanda Gil, Mary W. Hall, Tahsin M. Kurç, Joel H. Saltz:
An integrated framework for performance-based optimization of scientific workflows. HPDC 2009: 177-186 - [c7]Vijay S. Kumar, Tahsin M. Kurç, Joel H. Saltz, Ghaleb Abdulla, Scott R. Kohn, Celeste Matarazzo:
Architectural implications for spatial object association algorithms. IPDPS 2009: 1-12 - 2008
- [j2]Vijay S. Kumar, Sivaramakrishnan Narayanan, Tahsin M. Kurç, Jun Kong, Metin N. Gurcan, Joel H. Saltz:
Analysis and Semantic Querying in Large Biomedical Image Datasets. Computer 41(4): 52-59 (2008) - [j1]Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Tony C. Pan, Sunny K. Chow, Stephan Lamont, Maryann E. Martone, Joel H. Saltz:
Large-Scale Biomedical Image Analysis in Grid Environments. IEEE Trans. Inf. Technol. Biomed. 12(2): 154-161 (2008) - [c6]Vijay S. Kumar, Mary W. Hall, Jihie Kim, Yolanda Gil, Tahsin M. Kurç, Ewa Deelman, Varun Ratnakar, Joel H. Saltz:
Designing and parameterizing a workflow for optimization: A case study in biomedical imaging. IPDPS 2008: 1-5 - 2007
- [c5]Vijay S. Kumar, Tahsin M. Kurç, Jun Kong, Ümit V. Çatalyürek, Metin N. Gurcan, Joel H. Saltz:
Performance vs. accuracy trade-offs for large-scale image analysis applications. CLUSTER 2007: 100-109 - [c4]Bhupesh Bansal, Ümit V. Çatalyürek, Jacqueline Chame, Chun Chen, Ewa Deelman, Yolanda Gil, Mary W. Hall, Vijay S. Kumar, Tahsin M. Kurç, Kristina Lerman, Aiichiro Nakano, Yoon-Ju Lee Nelson, Joel H. Saltz, Ashish Sharma, Priya Vashishta:
Intelligent Optimization of Parallel and Distributed Applications. IPDPS 2007: 1-6 - 2006
- [c3]Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Sunny K. Chow, Stephan Lamont, Maryann E. Martone:
Imaging and visual analysis - Large image correction and warping in a cluster environment. SC 2006: 79 - 2005
- [c2]Benjamin Rutt, Vijay S. Kumar, Tony Pan, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Yujun Wang:
Distributed Out-of-Core Preprocessing of Very Large Microscopy Images for Efficient Querying. CLUSTER 2005: 1-10 - [c1]Ümit V. Çatalyürek, Shannon Hastings, Kun Huang, Vijay S. Kumar, Tahsin M. Kurç, Stephen Langella, Sivaramakrishnan Narayanan, Scott Oster, Tony Pan, Benjamin Rutt, Xi Zhang, Joel H. Saltz:
Supporting Large Scale Medical and Scientific Datasets. PARCO 2005: 3-14
Coauthor Index
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