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5214 search results found
  • 04.10-11.24-HST-Han

    April 10, 2024Conference Video Duration: 30:43

    Continuous, Intensified Manufacturing of Gene Delivery Vectors Enabled by High-Throughput Microfluidic Systems

  • 2.23.21-AI-Isola

    February 23, 2021Conference Video Duration: 16:58
    Phillip Isola
    Assistant Professor, Electrical Engineering and Computer Science
  • Advanced Design and Manufacturing: The Human Opportunity – Building a Skilled Technologist Workforce

    October 10, 2024Conference Video Duration: 22:53
     
    The Human Opportunity – Building a Skilled Technologist Workforce
    John Liu
    Principal Investigator, MIT Learning Engineering and Practice (LEAP),
    Digital Learning Lab Scientist and Lecturer, MIT Department of Mechanical Engineering

    Engineers, who know systems and processes, are generally separated from operators, who are often only trained on specific machines. New manufacturing technologies, whether in robotics or digital production, are transforming factory floors. Advanced manufacturing requires workers with a technician’s practical know-how and an engineer’s comprehension of processes and systems. Companies that want to move into advanced manufacturing often struggle to find people who know how to integrate technologies to optimize the whole system, manage technological advances, and drive innovation. We call this worker the “technologist.” As advanced technological manufacturing progresses, technologists will be essential in the adoption of next-generation factory systems. We believe that training programs for technologists can empower both incumbent and aspiring workers to be knowledgeable, productive, and adaptable contributors to a more robust US manufacturing economy (Liu & Bonvillian, 2024). MIT is excited to provide pathways for employees to advance in their careers, create training that allows companies to fill key roles, and build a workforce that will strengthen America’s industrial base.

  • Srinivas
    Devadas

    Edwin Sibley Webster Professor of Electrical Engineering and Computer Science
    Primary DLC
    Department of Electrical Engineering and Computer Science

    Contact

    MIT Room
    32-G844
    Phone
    (617) 253-0454
    devadas@mit.edu
  • William
    A
    Barletta

    Adjunct Professor of Physics
    Primary DLC
    Department of Physics

    Contact

    MIT Room
    26-405
    Phone
    (617) 253-6502
    barletta@mit.edu
  • Elsa
    A
    Olivetti

    Jerry McAfee (1940) Professor in Engineering
    Primary DLC
    Department of Materials Science and Engineering

    Contact

    MIT Room
    8-403
    Phone
    (617) 253-0877
    elsao@mit.edu
  • Fan
    Wang

    Professor of Brain and Cognitive Sciences
    Primary DLC
    Department of Brain and Cognitive Sciences

    Contact

    MIT Room
    46-4165A
    Phone
    (617) 258-6415
    fan_wang@mit.edu
  • Christian
    Catalini

    Research Scientist
    Primary DLC
    MIT Sloan School of Management

    Contact

    MIT Room
    E62-480
    Phone
    (617) 253-6727
    catalini@mit.edu
  • Kenneth
    A
    Smith

    Professor of Chemical Engineering, Emeritus
    Primary DLC
    Department of Chemical Engineering

    Contact

    MIT Room
    66-540
    Phone
    (617) 253-1973
    kas@mit.edu
  • February 11, 2014
    Department of Electrical Engineering and Computer Science

    CAD Methodologies in Tools for Variations-Aware Minimum Energy Design of Nanoelectronic Circuits and Systems

    Principal Investigator Duane Boning

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