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Prof. Enrique Del Castillo | Industrial Engineering | Best Researcher Award

Prof. Enrique Del Castillo, Pennsylvania State University, United States

Dr. Enrique del Castillo, a Distinguished Professor in the Industrial and Manufacturing Engineering Department at Penn State, boasts a remarkable career at the intersection of statistics and industrial engineering. His research, backed by over $2.3 million in funding from entities like NSF, General Motors R&D, and Netflix, spans process optimization, statistical process control, time series analysis, Bayesian Statistics, and machine learning.

πŸ‘¨β€πŸ« Academic Leadership:

Director of the Engineering Statistics and Machine Learning Laboratory. Member of the Operations Research Program Committee at PSU. Affiliated member of the Institute for Computational and Data Sciences. Faculty in the Computational Science Graduate minor at PSU.

πŸ“š Academic Appointments:

Distinguished Professor of Industrial Engineering at Penn State. Professor of Statistics (joint appointment) at the Eberly School of Science, PSU.

🌍 International Engagements:

Member of the Scientific Advisory Committee at the Institute for Data Science and Artificial Intelligence, University of Navarra, Spain. Advisory board member at the Department of Industrial Engineering, Mexican Institute of Technology (ITAM), Mexico City. Fulbright Scholar and Visiting Researcher at the University of Coimbra, Portugal (2019).

πŸ† Awards and Honors:

Youden Award for the best paper in the Technometrics journal (2022). Fellow of the Royal Statistical Society (2019). NSF CAREER Award recipient. Distinguished Professor of Engineering at Penn State.

πŸ“– Textbooks:

“Process Optimization with Multiple Response Variables, a Predictive Distribution Approach with R and Stan” (2023) – In preparation. “Process Optimization: A Statistical Approach” (2007). “Statistical Process Adjustment for Quality Control” (2002).

πŸ“š Editorship:

Co-editor of “Bayesian Process Monitoring, Control, and Optimization” (2006). Co-editor of “Run to Run Process Control for Semiconductor Manufacturing” (2000).

Professional Profiles:

The impact of her research is evident in citation metrics and indices from Google Scholar:

  • Cited by: All – 7317.
  • Citations – 7317.
  • h-index – 43.
  • Documents – 238.

A prolific researcher making meaningful contributions to the academic world!

Research Focus πŸš€:

Prof. Enrique Del Castillo, based at Pennsylvania State University, stands as a trailblazer in statistical methodology for industrial engineering. His prolific research, evidenced by over 500 citations in numerous pivotal works, spans diverse areas. Notably, his focus on “Modified Desirability Functions for Multiple Response Optimization” and “Process Optimization: A Statistical Approach” reflects his significant contributions to optimization methodologies. From addressing dual response problems to seminal works in semiconductor manufacturing control, Prof. Del Castillo’s expertise traverses nonlinear programming, distribution fitting, and adaptive control systems. His enduring impact extends to pioneering literature reviews and e-Handbooks, shaping statistical methods in academia and industry. πŸŒπŸ†

πŸŽ“ Publications Top Note:


Enrique Del Castillo | Industrial Engineering | Best Researcher Award

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