John P. T. Mo is Professor of manufacturing engineering and Former Head of manufacturing and materials engineering at RMIT University, Australia, since 2007. He has been Active Researcher in manufacturing and complex systems for over 35 years and worked for educational and scientific institutions in Hong Kong and Australia. From 1996, he was Project Manager and Research Team Leader with Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO) for 11 years leading a team of 15 research scientists. He obtained his doctorate from Loughborough University, UK, and is Fellow of Institution of Mechanical Engineers (UK) and Institution of Engineers Australia.Prof. JING received his B.S. degree from Zhejiang University, Hangzhou, China, and M.S. degree and Ph.D. degree in robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, respectively. Thereafter, he received a Ph.D. degree in nonlinear systems and signal processing from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. His current research interests are generally related to nonlinear dynamics, vibration, and control focusing on theory and methods for employing nonlinear benefits in engineering, including nonlinear frequency domain methods, nonlinear system identification or signal processing, vibration control, robust control, sensor technology, energy harvesting, nonlinear fault diagnosis or information processing, bio-inspired systems and methods, bio-inspired robotics and control, etc.

• 1. Investigation into High-Efficiency and Low-Damage Machining of Ti-6Al-4V via Medium-Frequency Ultrasonic Vibration Cutting.- 2. Reliability testing with or without failures – test planning and results evaluation.- 3. Nonlinear Analysis of Geometrically Exact Shells by a Hierarchical Quadrature Element Method.- 4. Material removal mechanism of Needled C/C Composites Orthogonal Cutting.- 5. Numerical Simulation on Surface Thermal Characteristics of Very Low Earth Orbit Vehicles.- 6. Support Vector Regression-Based Prediction of Ultimate Tensile Strength in Simultaneous Double-Sided Friction Stir Welding of Aluminum Alloys.- 7. Design and Experimental Investigation of Conformal Wing using Macro Fiber Composites for Flapping-Wing Aircraft Agile Maneuver.- 8. Research on the effect of abrasive cloth flap wheel wear on the polished surface integrity of GH4169G based on experiments and finite element simulations.

John P. T. Mo is Professor of manufacturing engineering and Former Head of manufacturing and materials engineering at RMIT University, Australia, since 2007. He has been Active Researcher in manufacturing and complex systems for over 35 years and worked for educational and scientific institutions in Hong Kong and Australia. From 1996, he was Project Manager and Research Team Leader with Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO) for 11 years leading a team of 15 research scientists. He obtained his doctorate from Loughborough University, UK, and is Fellow of Institution of Mechanical Engineers (UK) and Institution of Engineers Australia.Prof. JING received his B.S. degree from Zhejiang University, Hangzhou, China, and M.S. degree and Ph.D. degree in robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, respectively. Thereafter, he received a Ph.D. degree in nonlinear systems and signal processing from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. His current research interests are generally related to nonlinear dynamics, vibration, and control focusing on theory and methods for employing nonlinear benefits in engineering, including nonlinear frequency domain methods, nonlinear system identification or signal processing, vibration control, robust control, sensor technology, energy harvesting, nonlinear fault diagnosis or information processing, bio-inspired systems and methods, bio-inspired robotics and control, etc.

• 1. Investigation into High-Efficiency and Low-Damage Machining of Ti-6Al-4V via Medium-Frequency Ultrasonic Vibration Cutting.- 2. Reliability testing with or without failures – test planning and results evaluation.- 3. Nonlinear Analysis of Geometrically Exact Shells by a Hierarchical Quadrature Element Method.- 4. Material removal mechanism of Needled C/C Composites Orthogonal Cutting.- 5. Numerical Simulation on Surface Thermal Characteristics of Very Low Earth Orbit Vehicles.- 6. Support Vector Regression-Based Prediction of Ultimate Tensile Strength in Simultaneous Double-Sided Friction Stir Welding of Aluminum Alloys.- 7. Design and Experimental Investigation of Conformal Wing using Macro Fiber Composites for Flapping-Wing Aircraft Agile Maneuver.- 8. Research on the effect of abrasive cloth flap wheel wear on the polished surface integrity of GH4169G based on experiments and finite element simulations.

John P. T. Mo is Professor of manufacturing engineering and Former Head of manufacturing and materials engineering at RMIT University, Australia, since 2007. He has been Active Researcher in manufacturing and complex systems for over 35 years and worked for educational and scientific institutions in Hong Kong and Australia. From 1996, he was Project Manager and Research Team Leader with Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO) for 11 years leading a team of 15 research scientists. He obtained his doctorate from Loughborough University, UK, and is Fellow of Institution of Mechanical Engineers (UK) and Institution of Engineers Australia.Prof. JING received his B.S. degree from Zhejiang University, Hangzhou, China, and M.S. degree and Ph.D. degree in robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, respectively. Thereafter, he received a Ph.D. degree in nonlinear systems and signal processing from the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. His current research interests are generally related to nonlinear dynamics, vibration, and control focusing on theory and methods for employing nonlinear benefits in engineering, including nonlinear frequency domain methods, nonlinear system identification or signal processing, vibration control, robust control, sensor technology, energy harvesting, nonlinear fault diagnosis or information processing, bio-inspired systems and methods, bio-inspired robotics and control, etc.

• 1. Investigation into High-Efficiency and Low-Damage Machining of Ti-6Al-4V via Medium-Frequency Ultrasonic Vibration Cutting.- 2. Reliability testing with or without failures – test planning and results evaluation.- 3. Nonlinear Analysis of Geometrically Exact Shells by a Hierarchical Quadrature Element Method.- 4. Material removal mechanism of Needled C/C Composites Orthogonal Cutting.- 5. Numerical Simulation on Surface Thermal Characteristics of Very Low Earth Orbit Vehicles.- 6. Support Vector Regression-Based Prediction of Ultimate Tensile Strength in Simultaneous Double-Sided Friction Stir Welding of Aluminum Alloys.- 7. Design and Experimental Investigation of Conformal Wing using Macro Fiber Composites for Flapping-Wing Aircraft Agile Maneuver.- 8. Research on the effect of abrasive cloth flap wheel wear on the polished surface integrity of GH4169G based on experiments and finite element simulations.