Team
José C. M. Outeiro, Ph.D.
Full Professor
DEAM LAB DIRECTOR
Bio:
Professor José C. M. Outeiro is researcher and educator with a career in Mechanical Engineering, particularly in the field of Advanced Manufacturing. He holds a full professorship position at the University of North Carolina at Charlotte.
Throughout his career, he has held positions at various institutions across Europe and the United States. These include appointments at the Arts et Metiers Institute of Technology in France, Karlsruhe Institute of Technology in Germany, the University of Kentucky in the U.S.A., and the Catholic University of Portugal. He was awarded Fellow of the esteemed International Academy of Production Engineering (CIRP).
Dr. Outeiro has expertise of over 25 years in machining and hybrid processes, especially focused on the quality of the product concerning the surface integrity, part distortion and the functional performance and lifespan of components. He has developed a strong expertise on process modeling using multiphysics/multiscale approaches and Machine Learning to be integrated in Digital Twins (DTs).
Professor Outeiro's actively contributes to the scientific community by serving on editorial boards of renowned journals and scientific committees of conferences. He has also mentored numerous Ph.D., Master's, and undergraduate students. His achievements have been recognized with several awards and distinctions.
AFFILIATED FACULTY
Bio:
Research Interests: Plasticity Theory and Application to Metal Forming and Shear-Flow Localization Problems. Dynamic Behavior of Materials Finite-Element and Finite-Difference Methods in Solid Mechanics.
Bio: Dr. Greis’s research at UNC Charlotte focuses on how digital technologies and AI are transforming the design, engineering, and manufacturing of complex parts and systems. Central to her work is the integration of data, digital models, and AI to enable intelligent manufacturing through cyber-physical systems with learning-enabled digital twins. This allows for smart shop floor control, enhancing productivity and responsiveness. She is a leader in the NSF-funded “Future Manufacturing: A Network for Cybermanufacturing in Machining” initiative, aimed at advancing U.S. manufacturing. Dr. Greis has led projects with top agencies and companies, received numerous awards, and advises on digital technology adoption in manufacturing. She holds degrees from Princeton and Brown and previously worked at Bell Laboratories, where she secured a patent for diagnostics in complex systems.
Research Interests: Artificial Intelligence and Digital Twins; Smart Manufacturing and Industry 4.0; Machine Learning for Machining and Manufacturing Systems; New Technologies for Advanced Manufacturing.
Bio: Taner Tunc's expertise lies in advanced manufacturing processes, especially in multi-axis machining and robotic manufacturing. He has extensive research, development and application experience in both academia and industry. His academic background includes a BSc in Mechanical Engineering from Middle East Technical University (Ankara, Turkiye) and an MSc and PhD from Sabancı University (Istanbul, Turkiye), where his research centered on machining process modeling, particularly 5-axis milling, a critical process in aerospace and energy generation industries.
Research Interests: Physics-based modelling of machining processes; Tool path generation; Machining of thin-walled parts and robotic machining, with a focus on improving the accuracy and efficiency of manufacturing processes.