Welcome to Prof. Enrique del Castillo’s research group web site, the Engineering Statistics and Machine Learning Laboratory (ESAMLab). The laboratory conducts advanced research in statistical and machine learning methodologies across the spectrum of engineering disciplines and experimental sciences. Since its inception as the Engineering Statistics Lab, work at the ESAMLab focuses on how to build statistical models for the control and optimization of engineering systems and manufacturing processes or that provide helpful information to scientists, based on complex data. Recent work focuses on processes that generate (either through observation or experimentation) large heterogeneous datasets, specifically, data that occur along one dimensional “profiles” (functional data), data that occur in a 2D space, data in a higher-dimensional manifold (e.g., image data, 3D point cloud, 3D mesh data of surfaces or 3D voxel data) and network data. Examples of these types of data in manufacturing are shape and metrology data. The control and optimization problems we address require new methodology for experimental design, model fitting and statistical inference, resulting in contributions at the intersection of Statistical Sciences and Machine Learning.
I am always looking for strong Ph.D. students with a solid mathematical background. Send me an email to exd13@psu.edu with a transcript of your courses if interested. See also the information for “Prospective students”.
Application Areas:
Semiconductor Manufacturing, Advanced Manufacturing Processes, including 3D printing, Metrology and statistical image modeling and inference, Pharmaceutical drug development analysis, Automobile Design, Network modeling, Mathematical Biology.
Address:
The lab is located in 350 Leonhard Bldg. Send postal correspondence to:
Prof. Enrique del Castillo
Dept. of Industrial and Manufacturing Engineering, Penn State University
310 Leonhard bldg.
University Park, PA 16802