About Michael Ruppert

Michael Ruppert is a Postdoctoral Research Associate with the School of Electrical Engineering and Computing. His research interests include the control, estimation and self-sensing of microelectromechanical (MEMS) systems such as piezoelectric microcantilever and nanopositioning systems for multifrequency and single-chip atomic force microscopy.

ARC Funding Success

Prof Andrew Fleming, A/Prof Yuen Yong and Dr Michael Ruppert from the Precision Mechatronics Lab contributed to securing a $438,000 ARC Linkage Infrastructure Equipment & Facilities (LIEF) grant for A femtosecond laser micromachining facility for a wide range of materials at the University of Griffith. With the benefit of the facility’s unique capabilities, the research [...]

The Art of Problem Solving Exhibition, Newcastle Museum

The Precision Mechatronics Lab is showcasing some of their research on Microelectromechanical sytems (MEMS) related to high-resolution atomic force microscopy at the The Art of Problem Solving at the Newcastle Museum. The exhibition showcases UON’s most exciting engineering and computing innovations - like sensor gloves that teach sign language, a heart rate monitor for cows, [...]

Mark Balenzuela: Accurate Gaussian Mixture Model Smoothing using a Two-Filter Approach

Date & Venue Tuesday, 04 December 2018, 11:00am EF122 Abstract Gaussian Mixtures (GMs) can be used as a universal density approximator. As such, they can capture multimodal, skewed, and heavy-tailed characteristics of densities describing dynamic behaviour, which appear throughout finance, robotics, and fault detection. In this seminar, we consider smoothing for a class of state-space [...]

Jarrad Courts – Larger Scale Nonlinear State space System Identification

Date & Venue Thursday, 01 November 2018, 02:00PM EF122 Abstract System identification for large scale continuous time nonlinear state space models, as common in mechatronics applications, remains a challenging task. Existing system identification methods can be deficient for complex nonlinear problems and computationally do not scale well on large problems, the focus of this work [...]

David Harcombe – Nanoscale Demodulation and Sensing

Date & Venue Wednesday, 17 October 2018, 02:00PM EF122 Abstract Conventional high-speed amplitude demodulation techniques are compared and shown to be incompatible with multifrequency atomic force microscopy (MF-AFM), due to a lack of sensitivity to multiple frequency components. Novel model-based methods including a Kalman and Lyapunov filter are proposed, which alleviate this issue while maintaining very high bandwidths. Additionally, mass-sensing [...]

Nathan Bartlett – Multi-Extended Target Tracking

Date & Venue Thursday, 04 October 2018, 02:00PM EF122 Abstract Extended targets are targets which potentially generate more than one measurement per time step. They are encountered in numerous applications, spanning from vehicle tracking with automotive radar, pedestrian tracking using laser range sensors, and surface vessel tracking with marine X-band radar. The generation of multiple [...]

Ben Routley – Optics for Engineers

Date & Venue Thursday, 20 September 2018, 02:00PM EF122 Abstract In this talk, the basic principles of optical design will be explained. Measurement techniques typically used by engineers will be covered. The talk focuses on the practical aspects and will skip most of the maths. A brief overview of the usage of CAD software packages [...]

Omid Tayefeh – Exposure Planning for Scanning Laser Lithography

Date & Venue Friday, 31 August 2018, 10:30AM EF122 Abstract Lithography is the process of selectively exposing optically sensitive materials during semiconductor fabrication. One issue with standard projection lithography is the high cost of infrastructure and mask sets. These costs may be prohibitively expensive for prototyping and low-volume production. Scanning-beam lithography methods are attractive alternatives [...]

Johan Dahlin – A software approach to Machine learning

Date & Venue Thursday, 16 August 2018, 02:00PM EF122 Abstract Machine learning is currently a hot research area which also is getting a lot of attention in the media. Many are talking about artificial intelligence and how automation will change the world and put people out of work. As a community, machine learning is built [...]

Hamed Sadeghian – Nano-Mechatronics Instrumentations to Probe Interactions at the Nano-scale

Date & Venue Tuesday, 17 July 2018, 02:00PM EF122 Abstract Understanding the interactions of matter at nano-scale has become the key for the success of several applications. In nanoelectronics or semiconductor industry, it helps for better manufacturing (higher resolution towards sub-10 nm structures, more complex structures) and reliable nanometrology and nano-inspection (for improving the yield [...]

Go to Top