Principal Consultant
Dr. Quek Shu Ching is an engineering scientist in energy and aerospace industries for 25+ years with work exposure in US, Europe, and China. Highlights of his experience included heading multi-million-dollar programs and technical leadership for GE Global Research, Associate Professor at Tufts University and, Ming Yang Smart Energy (MYSE) as VP of Engineering for MYSE–China and President of MYSE–USA R&D center. Currently Founder / Principal Consultant of NES (NuEnergy-Solutions) and Adjunct Prof of ASU (Arizona State University).
Education / Publications / Patents
Dr Quek received his Aerospace PhD from University of Michigan, Ann Arbor. He currently holds 26 patents in the areas of wind turbine blades, physics-driven condition-based monitoring to determine component life, ceramic matrix composites, fuel cells, batteries, aircraft engines, and smart media platforms using large data hybrid models with predictive capabilities. Dr Quek also has 20 journal and conference publications.
Career deliverable-highlights include:
GE (2002-2005) – Developed an air plasma sprayed solid oxide fuel cell (SOFC) to achieve one of the world’s best performing fuel cells to date.
GE (2006-2009) – Lead and developed the world’s largest carbon fiber based jointed wind turbine (WT) blade passing on-ground and field test.
GE (2006-2009) – Developed WT blade life predictive capabilities using (composite material microfailure) physics based computational algorithms proven by experiments.
Tuft University (2010-2011) – Role of an Associate Prof for wind turbine design graduate level course.
MYSE (2012-2014) – Delivered Ming Yang Smart Energy’s first DNV/GL certification.
Nooggi (2015-2017) – Developed a method for real-time translation for live video conferencing where speech or text is synchronized with lip motion.
Nooggi (2018-2024) – Dr Quek leveraged his knowledge of machine learning and predictive analytics for large complex systems to developed a smart advertising platform.
NES (2025-Current) – Development of next generation blade tip design to suppress tip vortex generation for increased aerodynamic efficiency and lower acoustic noise.
NES (2025-Current) – Formulated a new algorithm to maximize wind farm efficiency using a hybrid physics-AI model.