Soundar Kumara

Affiliations:

Pennsylvania State University, State College, PA, United States

Area:

Industrial Engineering, Computer Science

Parents

Rangasami L. Kashyap	grad student	1985	Purdue (E-Tree)
Colin Linton Moodie	grad student	1985	Purdue (E-Tree)
(Artificial Intelligence Techniques in Facilities Layout Planning: The Development of an Expert System)

Children

Sagar Kamarthi	grad student	1994	Penn State (E-Tree)
Jaehong Suh	grad student	2001	Penn State
Mazin M. Al Hamando	grad student	2005	Penn State
Craig A. Nowack	grad student	2005	Penn State
Kaizhi Tang	grad student	2005	Penn State
Christopher N. Carrino	grad student	2006	Penn State
Seog-Chan Oh	grad student	2006	Penn State
Jindae Kim	grad student	2008	Penn State
Seung K. Moon	grad student	2008	Penn State
Chang-Soo Ok	grad student	2008	Penn State (E-Tree)
Rodrigo Caliz Ospino	grad student	2010	Penn State
Faith Cavdur	grad student	2010	Penn State
Vinay Satish Kumar	grad student	2010	Penn State
Satama Sirivunnabood	grad student	2010	Penn State
Jung-Woon Yoo	grad student	2010	Penn State
Liying Cui	grad student	2011	Penn State
Behdad Masihtehrani	grad student	2011	Penn State
David M. Sudit	grad student	2012	Penn State (E-Tree)
Supreet R. Mandala	grad student	2013	Penn State
Deepak Agrawal	grad student	2017	Penn State

Collaborators

BETA: Related publications

Publications

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Yang H, Liu R, Kumara S. (2020) Self-organizing network modelling of 3D objects Cirp Annals-Manufacturing Technology. 69: 409-412
Liu M, Basu S, Kumara S. (2019) Quantifying manufacturability of component geometries using shape descriptors Procedia Cirp. 84: 462-467
Chen CB, Yang H, Kumara S. (2018) Recurrence network modeling and analysis of spatial data. Chaos (Woodbury, N.Y.). 28: 085714
Kan C, Yang H, Kumara S. (2018) Parallel computing and network analytics for fast Industrial Internet-of-Things (IIoT) machine information processing and condition monitoring Journal of Manufacturing Systems. 46: 282-293
Wu D, Jennings C, Terpenny J, et al. (2017) A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests Journal of Manufacturing Science and Engineering. 139
Agrawal D, Chen CB, Dravenstott RW, et al. (2016) Predicting Patients at Risk for 3-Day Postdischarge Readmissions, ED Visits, and Deaths. Medical Care
Yang H, Tang K, Liu X, et al. (2016) A user-centred approach to information visualisation in nano-health International Journal of Bioinformatics Research and Applications. 12: 95-115
Bastian ND, Fulton LV, Griffin PM, et al. (2016) A casualty network analysis in non-major combat operations Journal of Defense Modeling and Simulation. 13: 95-108
Madireddy M, Kumara S, Medeiros DJ, et al. (2015) Leveraging social networks for efficient hurricane evacuation Transportation Research Part B: Methodological. 77: 199-212
Hatim Q, Shao G, Rachuri S, et al. (2015) A Simulation-based Methodology of Assessing Environmental Sustainability and Productivity for Integrated Process and Production Plans Procedia Manufacturing. 1: 193-204

Soundar Kumara

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