Houman Hanachi

Background

About Houman Hanachi

As a Mechanical Engineer (Ph.D, P.Eng.) with over two decades of experience spanning industry and academia, I excel at identifying and addressing complex engineering challenges. My expertise lies in Prognostics and Predictive Maintenance, Machine Learning and Physics-based Predictive Modeling, Gas Turbine Performance Modeling, and Test Rig Design and Development. I specialize in working closely with clients to identify and define core challenges, ensuring alignment on problem-solving goals. By leveraging existing tools and supplier-provided solutions or developing custom methodologies, I deliver innovative and tailored approaches to meet unique needs. I also liaise with suppliers to ensure accurate implementation and resolution of identified problems. Throughout my career in the Automotive, Aerospace, and Energy sectors, I have led interdisciplinary teams, driven technological innovation, and designed and implemented solutions to enhance productivity, performance, and reliability while reducing operational costs. Highlights of my expertise: • Development of Machine Learning-based Digital Twin for gas turbine performance prediction. • Advancing Prognostics and Health Management (PHM) techniques to enhance availability and reliability. • Designing and developing performance and endurance test machines, saving costs and enhancing efficiency. • Strategic Industry-Academia collaborations for cutting-edge research and training. • Integrating and customizing solutions to address specific client challenges. I am deeply passionate about developing and leveraging advanced technologies to solve intricate engineering problems and mentoring the next generation of engineers. Let’s connect to explore collaboration opportunities or discuss innovations in predictive maintenance, machine learning, or corresponding engineering R&D.