ASME

Journal of Computing and Information Science in Engineering

Yan 
Lu, Ph.D.
Yan Lu

Areas of Interest

ADDITIVE MANUFACTURING
DIGITAL TWIN
ENGINEERING INFOMATICS
MACHINE LEARNING
National Institute of Standards and Technology
Dr. Yan Lu is a member of the System Integration Division of the Engineering Lab at National Institute of Standards and Technology. She leads the Information Modeling and Testing group and is the project lead for the Data Integration and Management for Additive Manufacturing research at National Institute of Standards and Technology. Her research interest also includes smart manufacturing reference model and reference architecture, and service-oriented manufacturing. Dr. Yan Lu graduated from Tsinghua University with a BS and MS in automation control theory and from Carnegie Mellon University with a PhD in electrical and computer engineering. Before joining NIST, Dr. Lu was the head of Grid Automation and Production Operation and Optimization Research Group at Siemens Corporation, Corporate Technology. With Siemens, she has led and successfully delivered tens of million dollars of corporate funded, and government funded research projects in the areas of survivable control systems, energy automation and building energy management systems. She has published more than 140 peer reviewed journal and conference papers and was granted more than 15 patents in industry and building automation technology. Dr. Lu also worked for Seagate Research Center for two years on developing hard disk drive servo control. Dr. Yan Lu is a US expert for IEC TC 65, Co-Chair of ASTM F42.08 on AM Data, and a senior member of IEEE and a member of ASME. She is active in developing smart manufacturing and additive manufacturing standards.

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Announcements

JCISE July 2024 Spotlight: Information Embedding in Additively Manufactured Parts Through Printing Speed Control, Prof. Panchal

A recording is now available for the July 17, 2024 JCISE Spotlight talk by Professor Jitesh Panchal on paper co-authored with Karim A. ElSayed entitled “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” J. Comput. Inf. Sci. Eng. J. Comput. Inf. Sci. Eng. Jul 2024, 24(7): 071005 (10 pages) Paper No: JCISE-23-1496 https://doi.org/10.1115/1.4065089.

Announcements

JCISE June 2024 Spotlight: Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset, Prof. Soize

A recording is now available on Youtube for the June 18, 2024 Spotlight talk by Professor Christian Soize (Université Gustave Eiffel) on his paper “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset,”

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