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Mel Siegel is a Professor Emeritus at the Robotics Institute of Carnegie Mellon University. His research interests are centered around the design and integration of sensing devices, as well as measurement and control systems, particularly in robotics. His past projects include the development of sensors for biotechnology process control and innovative methods for managing electrical power transmission system faults. Siegel has also focused on mobile robots for aircraft inspections, addressing significant issues in using robots to automate visual inspections affected by the weather and structural stresses. His notable work includes the study of 3D-stereoscopic display systems to enhance virtual reality presentations and improve the inspection capabilities within aircraft maintenance. Additionally, he has contributed to the modeling of complex illumination systems for automotive lighting. With his vast experience, he has mentored numerous students in both PhD and Master's programs, contributing significantly to the advancement of robotics and sensor technologies.
Carnegie Mellon University • Pittsburgh, PA
Teaching and researching in the field of robotics, focusing on sensor integration and control systems.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.