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Conrad S. Tucker, Ph.D.

Affiliations: 
2011 Industrial&Enterprise Sys Eng University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
Area:
Industrial Engineering, General Engineering, Marketing Business Administration
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"Conrad Tucker"
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Harrison Kim grad student 2011 UIUC
 (Data trend mining for predictive systems design.)

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Publications

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López CE, Cunningham J, Ashour O, et al. (2020) Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments Journal of Computing and Information Science in Engineering. 20
Arul Prakash SK, Mahan T, Williams G, et al. (2019) Detection of System Compromise in Additive Manufacturing Using Video Motion Magnification Journal of Mechanical Design. 142
Panchal JH, Fuge M, Liu Y, et al. (2019) Special Issue: Machine Learning for Engineering Design Journal of Mechanical Design. 141
Cunningham JD, Simpson TW, Tucker CS. (2019) An Investigation of Surrogate Models for Efficient Performance-Based Decoding of 3D Point Clouds Journal of Mechanical Design. 141
Stump GM, Miller SW, Yukish MA, et al. (2019) Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization Journal of Mechanical Design. 141
Bezawada S, Hu Q, Gray A, et al. (2017) Automatic Facial Feature Extraction for Predicting Designers' Comfort With Engineering Equipment During Prototype Creation Journal of Mechanical Design. 139
Lesniak K, Terpenny J, Tucker CS, et al. (2017) Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data1 Journal of Computing and Information Science in Engineering. 17
Kang SW, Tucker CS. (2017) Exploring the correlation between new function attributes mined from different product domains and market sales The Engineering Economist. 63: 113-142
Lopez CE, Tucker CS. (2017) A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications Computers in Human Behavior. 71: 42-58
Lim S, Tucker CS. (2016) A Bayesian Sampling Method for Product Feature Extraction from Large-Scale Textual Data Journal of Mechanical Design, Transactions of the Asme. 138
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