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International Mechanical Engineering Congress & Exposition® > Program > DOE-NSF Program Officer Panel on Advanced Manufacturing

DOE-NSF Program Officer Panel on Advanced Manufacturing

  • Huijuan Dai, DOE AMMTO (Next Generation Materials and Processes Program)
  • Linkan Bian, CMMI/Advancement Manufacturing (AM)

Program officers from Department of Energy (DOE) Advanced Materials and Manufacturing Technologies Office (AMMTO) and National Science Foundation (NSF) Advanced Manufacturing Program will discuss agency priorities and vision on advanced manufacturing, including the development of national strategic plan and resources available to the advanced manufacturing community. Program officers will discuss funding opportunities related to advanced manufacturing and answer questions from the audience.

The Next Generation Materials and Processes (NGMP) Program at DOE's AMMTO office supports Research, Development, and Demonstration (RD&D) to accelerate foundational, cross-cutting energy materials and manufacturing process technologies across the Department's mission areas. The program supports the AMMTO office’s vision of a globally dominant, innovative U.S. manufacturing and industrial base for a resilient energy system and secure supply chain.

NSF Advanced Manufacturing (AM) program supports the fundamental research needed to revitalize American manufacturing to grow the national prosperity and workforce, and to reshape our strategic industries. The AM program accelerates advances in manufacturing technologies with emphasis on multidisciplinary research that fundamentally alters and transforms manufacturing capabilities, methods and practices.


Dr. Huijuan Dai

Dr. Huijuan Dai serves as the Supervisory Program Manager for the Next Generation Materials & Processes Program in the U.S. Department of Energy (DOE) Advanced Materials and Manufacturing Technologies Office (AMMTO). Her portfolio includes research, development, and pilot demonstrations for technologies that cover smart manufacturing, additive manufacturing, high performance computing, cyber security for manufacturing, composites, highly conductive materials, and materials for harsh service conditions. Dr. Dai’s responsibilities include oversight of three Manufacturing USA institutes - the Institute for Advanced Composites Manufacturing Innovation (IACMI), the Collaborative Ecosystems Smart Manufacturing Innovation Institute (CESMII), and the Cybersecurity Manufacturing Innovation Institute (CyManII), and two user facilities - Manufacturing Demonstration Facility (MDF) and Carbon Fiber Technology Facility (CFTF) at Oak Ridge National Laboratory. Before joining DOE, Dr. Dai spent over 15 years driving industry research and technology development across the aerospace, oil and gas, and renewable energy sectors. She played a key role in shaping the vision and technology strategies for advancing and implementing emerging technologies and high-value advanced manufacturing opportunities across energy sectors. Huijuan also brings more than a decade of experience in program and team management, successfully leading multidisciplinary teams from idea generation, rapid prototyping to new technology/product introduction.

She has a Ph.D. in Materials Science from the University of Leicester in the United Kingdom, and an MBA with a specialization in Business Analytics from the University of South Carolina in the United States.

Dr. Huijuan Dai

Dr. Linkan Bian is a program director in the Advanced Manufacturing (AM) cluster of the Civil, Mechanical and Manufacturing Innovation (CMMI) Division of the US National Science Foundation (NSF). Dr. Bian’s home institution is Mississippi State University, where he is the Thomas B. & Terri L. Nusz Endowed Professor in the Industrial and Systems Engineering Department. Dr. Bian received his Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology, and B.S. in Applied Mathematics from Beijing University. Dr. Bian’s research focuses on understanding the process-structure-property relationships in additive manufacturing, as well as the investigation of how AI/ML can transform modeling and experimental approaches. Dr. Bian is the past-president of the Quality Control & Reliability Engineering (QCRE) Division of the Institute of Industrial and Systems Engineering (IISE). He is a fellow of IISE.