Thomas R. Kurfess
Affiliations: | 1994 | Carnegie Mellon University, Pittsburgh, PA | |
| 1994-2005 | Mechanical Engineering | Georgia Institute of Technology, Atlanta, GA | |
| 2005-2012 | Automotive Engineering | Clemson University, Clemson, SC, United States | |
| 2012- | Mechanical Engineering | Georgia Institute of Technology, Atlanta, GA |
Area:
Automotive Engineering, Mechanical EngineeringWebsite:
https://www.me.gatech.edu/faculty/kurfessGoogle:
""Thomas Kurfess""Bio:
Kurfess, Thomas Roland. Predictive control of a robotic weld bead grinding system Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 1989
Parents
Sign in to add mentor| Derek Rowell | grad student | 1989 | MIT | |
| (Commniittee Chairman) | ||||
| Daniel E. Whitney | grad student | 1989 | MIT (Biomechanics Tree) | |
| (Predictive control of a robotic weld bead grinding system) | ||||
Children
Sign in to add trainee| M. Laine Mears | grad student | 2006 | Georgia Tech |
| John Limroth | grad student | 2009 | Clemson University |
| Joshua A. Tarbutton | grad student | 2011 | Clemson University |
| Yujie Chen | grad student | 2013 | Clemson University |
| Justin L. Milner | grad student | 2014 | Clemson University |
BETA: Related publications
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Publications
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| Landers RG, Barton K, Devasia S, et al. (2020) A Review of Manufacturing Process Control Journal of Manufacturing Science and Engineering. 142 |
| Burkart R, Dugenske A, Kurfess T. (2020) Enhanced Part Accuracy Through Strain Measurement in Milling Machines Journal of Manufacturing Science and Engineering-Transactions of the Asme. 142 |
| Parto M, Saldana C, Kurfess T. (2020) Real-Time Outlier Detection and Bayesian Classification using Incremental Computations for Efficient and Scalable Stream Analytics for IoT for Manufacturing Procedia Manufacturing. 48: 968-979 |
| Parto M, Saldana C, Kurfess T. (2020) A Novel Three-Layer IoT Architecture for Shared, Private, Scalable, and Real-time Machine Learning from Ubiquitous Cyber-Physical Systems Procedia Manufacturing. 48: 959-967 |
| Guamán-Lozada D, Ahuett-Garza H, Castro-Martin AP, et al. (2020) Design and testing of a positioning system based on a quasi kinematic guide and a clamp plate suspended by compliant straps for in-line metrology systems Manufacturing Letters. 24: 19-22 |
| Collins JS, Tucker T, Kurfess T. (2019) Intensity-Based Registration With Voxel-Based Computer-Aided Manufacturing for Adaptive Machining Journal of Manufacturing Science and Engineering-Transactions of the Asme. 141 |
| Chen A, Kurfess TR. (2019) Signal processing techniques for rolling element bearing spall size estimation Mechanical Systems and Signal Processing. 117: 16-32 |
| Kim MJ, Praniewicz M, Kurfess TR, et al. (2019) Adaptive repair and digitization for hybrid manufacturing Procedia Manufacturing. 34: 154-160 |
| Praniewicz M, Kurfess TR, Saldana C. (2019) Error qualification for multi-axis BC-type machine tools Journal of Manufacturing Systems. 52: 211-216 |
| Nie Z, Lynn R, Tucker T, et al. (2019) Voxel-based analysis and modeling of MRR computational accuracy in milling process Cirp Journal of Manufacturing Science and Technology. 27: 78-92 |