Vijay S. Kumar

According to our database, Vijay S. Kumar authored at least 24 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Knowledge Graph-driven Tabular Data Discovery from Scientific Documents.

Vijay S. Kumar, Varish Mulwad, Jenny Weisenberg Williams, Tim Finin, Sharad Dixit, Anupam Joshi

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Towards Semantic Exploration of Tables in Scientific Documents.

Varish Mulwad, Vijay S. Kumar, Jenny Weisenberg Williams, Tim Finin, Sharad Dixit, Anupam Joshi

Proceedings of the Joint Proceedings of the ESWC 2023 Workshops and Tutorials co-located with 20th European Semantic Web Conference (ESWC 2023), 2023

A Practical Entity Linking System for Tables in Scientific Literature.

Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi

Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

2022

Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text.

Varish Mulwad, Andrew Crapo, Vijay S. Kumar, James Jobin, Alfredo Gabaldon, Nurali Virani, Sharad Dixit, Narendra Joshi

CoRR, 2022

2021

Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective.

Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour, Pengyuan Wang, Philip J. Hart, Weizhong Yan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

On-demand Knowledge Graphs for Standards-Based Power Grid Data Provisioning.

Vijay S. Kumar, Sharad Dixit, Kareem S. Aggour, Jenny Weisenberg Williams, Paul Cuddihy

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020

FDC Cache: Semantics-driven Federated Caching and Querying for Big Data.

Paul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning.

Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing.

Kareem S. Aggour, Vijay S. Kumar, Paul Cuddihy, Jenny Weisenberg Williams, Vipul Gupta, Laura Dial, Timothy Hanlon, Justin Gambone, Joseph Vinciquerra

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Integrated access to big data polystores through a knowledge-driven framework.

Justin McHugh, Paul E. Cuddihy, Jenny Weisenberg Williams, Kareem S. Aggour, Vijay S. Kumar, Varish Mulwad

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

A highly parallel next-generation DNA sequencing data analysis pipeline in Hadoop.

Kareem S. Aggour, Vijay S. Kumar, Dipen P. Sangurdekar, Lee A. Newberg, Chinnappa D. Kodira

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2012

Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle.

Abhishek Verma, Ludmila Cherkasova, Vijay S. Kumar, Roy H. Campbell

Proceedings of the 2012 IEEE Network Operations and Management Symposium, 2012

2010

Parameterized specification, configuration and execution of data-intensive scientific workflows.

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

Clust. Comput., 2010

2009

HPC and Grid Computing for Integrative Biomedical Research.

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

Int. J. High Perform. Comput. Appl., 2009

Architectural implications for spatial object association algorithms.

Vijay S. Kumar, Tahsin M. Kurç, Joel H. Saltz, Ghaleb Abdulla, Scott R. Kohn, Celeste Matarazzo

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

An integrated framework for performance-based optimization of scientific workflows.

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

Proceedings of the 18th ACM International Symposium on High Performance Distributed Computing, 2009

2008

Large-Scale Biomedical Image Analysis in Grid Environments.

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

IEEE Trans. Inf. Technol. Biomed., 2008

Analysis and Semantic Querying in Large Biomedical Image Datasets.

Vijay S. Kumar, Sivaramakrishnan Narayanan, Tahsin M. Kurç, Jun Kong, Metin N. Gurcan, Joel H. Saltz

Computer, 2008

Designing and parameterizing a workflow for optimization: A case study in biomedical imaging.

Vijay S. Kumar, Mary W. Hall, Jihie Kim, Yolanda Gil, Tahsin M. Kurç, Ewa Deelman, Varun Ratnakar, Joel H. Saltz

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007

Intelligent Optimization of Parallel and Distributed Applications.

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

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Performance vs. accuracy trade-offs for large-scale image analysis applications.

Vijay S. Kumar, Tahsin M. Kurç, Jun Kong, Ümit V. Çatalyürek, Metin N. Gurcan, Joel H. Saltz

Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007

2006

Imaging and visual analysis - Large image correction and warping in a cluster environment.

Vijay S. Kumar, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Sunny K. Chow, Stephan Lamont, Maryann E. Martone

Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

2005

Supporting Large Scale Medical and Scientific Datasets.

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

Proceedings of the Parallel Computing: Current & Future Issues of High-End Computing, 2005

Distributed Out-of-Core Preprocessing of Very Large Microscopy Images for Efficient Querying.

Benjamin Rutt, Vijay S. Kumar, Tony Pan, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Yujun Wang

Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005