Engineering Research ENGR90041/90042

This subject is ideal for students who prefer independent study and would like to have close collaboration with an academic supervisor. The subject is also suitable for students who aim to continue their studies to PhD or to have  future careers in design and research-intensive industries such as: robotic, aerospace, defense, future material, complex manufacturing, transportation development (future car, high speed train), etc.

High-quality results may lead to publication in a leading academic journal, or the students may be sent to an International conference. Having a publication in a high-quality journal or international conference opens plenty of opportunities in research-intensive industries or for PhD study. Finally, there are start-up funds from the University for any high-quality research-based project that can be applied to a commercial product.

• Completion of a minimum of 75 credit points of Level 9 subjects
• An average of H2A or above over all the Level 9 subjects.

The assessments include research proposal (week 4), non-technical presentation to lay audience (week 12), final report and oral examination (during examination period).

There are NO paper-based examinations.

At present, we have several candidate projects (see below), these projects include simulation and experimental activities. Some projects also require travels. The students interested in this subject are also encouraged to contact their preferred academics in Department of Mechanical Engineering to propose new projects.

1. An active tune-able surface to interact with turbulent boundary layers (with Prof Nicholas Hutchins)
2. Understanding deformation of alloys in extreme hydrogen environments. (with Dr Christian Brandl)
3. Vision-based Simultaneous localization and mapping (SLAM) for Conveyor Belt Cleaning Robots (with Prof Ying Tan)
4. Develop a new type of hydrogen sensor (with A/Prof Yi Yang)
5. Hydrodynamics of Ichthyosaur body (with Dr Bagus Nugroho)
6. Gravity Current Driven Smoke Dispersion In a Stratified Ambient (with Prof Andrew Ooi)
7. Simulating environmental fluid flows using an efficient Python solver (with Dr Cat Vreugdenhil )
8. Developing the fluid-physical understanding to underpin the robust design of drag-reducing surfaces (with A/Prof Daniel Chung)
9. Natural Language Processing in measuring user-designer understanding in engineering design (with Prof Katja Holtta-Otto)
10. Circular mycelium-based materials for early prototyping (with Prof Katja Holtta-Otto)
11. Post Consumer Plastic Upcycling into Makerspace Plastic Stocks (with Prof Kevin Otto)