Manufacturing Intelligence Research
& Advanced Geometry Evaluation

Core Research Themes

Intelligent Manufacturing

Machine learning models use sensor and image data to predict the quality of additively manufactured parts. Models use transfer learning to make predictions across a variety of part designs. 

computer vision

Advanced Metrology

Computer vision automatically extracts precise measurements from images and 3D part scan data. Autonomous measurements enable rich data sets that are leveraged for part qualification.

Computational Geometry

Software identifies constituent geometry elements in part designs. These elements are used to cluster similar part designs, evaluate manufacturability, and recommend design modifications. 

At the MIRAGE Lab, we envision a future where advanced manufacturing processes are seamlessly integrated with cutting-edge software technologies to revolutionize the quality and precision of manufactured parts. Our goal is to be at the forefront of research and innovation, developing techniques that enhance the capabilities of advanced manufacturing (particularly additive manufacturing) through the power of computer vision, machine learning, and artificial intelligence. We strive to cultivate a collaborative environment that nurtures the growth of exceptional researchers and provides unparalleled professional development opportunities for students and young professionals.

Research Lab

MIRAGE Lab investigates novel methods for leveraging data and software tools to enable more efficient and intelligent manufacturing processes. We predominantly focus on industrial grade additive manufacturing, sometimes referred to as “3D printing,” with applications ranging from aerospace and electronics to pharmaceuticals and personalized medical devices.

Our team comprises exceptional researchers having diverse backgrounds and prior experiences. We are always seeking new members to join our team. Interested individuals are encouraged to find out more and connect with current members.

2025 lab photo
mcgregor headshot

Principal Investigator

Davis J. McGregor

Assistant Professor - Mechanical Engineering | University of Maryland, College Park

Davis J. McGregor, Ph.D. is Director of the MIRAGE Lab, Assistant Professor of Mechanical Engineering at the University of Maryland, College Park, and Fischell Fellow at the Fischell Institute for Biomedical Devices.

Dr. McGregor is interested in how software and data can be leveraged to improve manufacturing and part qualification. He investigates methods for automating metrology of diverse part geometries using computer vision and computational geometry, and is developing machine learning models for rapidly qualifying additively manufactured parts. He is especially interested in developing models for qualifying part designs that have never previously been made, enabling first-time-right manufacturing strategies for additive manufacturing.

Before joining the University of Maryland in 2023, Dr. McGregor was Staff Manufacturing Scientist at Fast Radius, which was acquired by SyBridge Technologies in December 2022. While there, he led the development of manufacturing intelligence algorithms and the framework for continuous feedback and improvement of machine learning models.

Dr. McGregor received a Ph.D. from the University of Illinois Urbana-Champaign. He has published 17 journal articles with over 400 citations, and holds one US patent related to leveraging machine learning for advanced manufacturing.

Applications

Aerospace

Automotive

Electronics

MEDICAL DEVICES

PHARMACEUTICALS

Consumer Goods

Industry & Research Partners

Our mission

  • Engage in collaborative projects that address industry needs and drive technological advancements in smart manufacturing and applied AI.
  • Implement our research findings and tools in industry scenarios and have tangible impact in five to ten years.

 

Interested in Working with Us?

News

ICAM 2024 speaker promo slide

June 2025: MIRAGE member, Ayush, recently presented his research at the SPIE Optical Metrology conference in Munich, Germany. His talk was titled "Automated metrology for additively manufactured parts using deep learning and computer vision."

ICAM 2024 speaker promo slide

June 2025: MIRAGE is excited to welcome Christine as one of the five selected REF Institute Summer Research Interns! Read more.

ICAM 2024 speaker promo slide

May 2025: I'm thrilled to announce the publication of our latest research paper in npj Advanced Manufacturing and the granting of our US patent on a revolutionary approach to "fingerprinting" or identifying the source of 3D printed parts!