Dr. Vladimir Orlyanchik is currently the Group Leader of the Manufacturing Systems Analytics Group at Oak Ridge National Laboratory (ORNL). The group develops data driven technologies to monitor, improve, and control advanced manufacturing processes, with a particular focus on supporting part qualification and certification. Its research spans the full manufacturing data lifecycle, including sensors and instrumentation, data acquisition, multimodal data integration, AI/ML analytics, digital twins, and manufacturing data management. The group works to connect heterogeneous data from manufacturing equipment, in-situ sensors, process parameters, and post-process characterization to develop predictive models, identify part-quality relationships, and enable real-time, data informed process optimization and control.
Dr. Orlyanchik interdisciplinary expertise spans experimental physics, sensor technologies, data analytics, and machine learning. Before joining ORNL, he worked in a variety of R&D settings focused on sensing technologies, data-driven analysis, and complex physical systems. At ORNL, his research advances the use of multimodal sensing, AI/ML, and digital technologies to enhance monitoring, control, and qualification of advanced manufacturing processes, including additive manufacturing and Directed Energy Deposition. His work integrates experimental science, instrumentation, data science, and software development to transform manufacturing data into actionable insights for part qualification and process optimization.
