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Australia experienced one of its deadliest and most widespread bushfire seasons at the start of 2020.

Globally, fires engulfed areas that had never previously been burnt, including the dense tropical Amazon Rainforest and the city of Los Angeles on the westcoast of the United States.

翱苍别听Doctor of Philosophy (Engineering)聽graduate turned robotics visionary, Vera Somers, is hoping her research will one day help detect bushfire prone areas and survey at-risk areas by creating drones for bushfire surveillance and ultimately intervention.

鈥淭he large-scale impacts and real-world risks make bushfire research extremely important 鈥� this last bushfire season stresses how vital this research is,鈥� said Ms Somers, who joined the University of Sydney from the Netherlands to complete a PhD in aerospace engineering at the Australian Centre for Field Robotics under the supervision of Professor Ian Manchester.

Ms Somers hopes UAVs and automation can offer faster and more efficient situational awareness, potentially making firefighting efforts safer by containing fires before they become uncontrollable.

鈥淎lthough many fire propagation models and simulators already exist, the link connecting them to automated decision making and UAV path planning is still missing,鈥� she said.

鈥淲e use optimisation methods to study how bushfires spread and how to control them. By creating risk maps and UAVs we can find the areas most in need of monitoring, and then use this information to deploy targeted resource allocation for both prevention and firefighting.

鈥淲e actually model and control the spread of fire in a similar way to the modelling of epidemics. It is fascinating how both bushfires and epidemics 鈥� as well as other spreading processes 鈥� have very similar underlying models.鈥�

Ms Somers also recently assisted the post-bushfire effort by helping rebuild fences that had been lost in the January 2020 fires.

Amrit Sethi, who joined the University of Sydney from India and is both a graduate of a Bachelor of Mechatronic Engineering (Space) and recipient of the University Medal, is working with clean energy expert and aerospace engineer from the School of Aerospace, Mechanical and Mechatronic Engineering, Associate Professor Dries Verstraete in the development of a technology that aims to extend the lifetime of hydrogen fuel cells.

鈥淩ising pollution levels and their impact on climate change highlight the need for clean energy sources鈥� said Mr Sethi, who is the recipient of an International Strategic Scholarship and is currently completing a Doctor of Philosophy (Engineering) in aerospace engineering.

鈥淗ydrogen fuel cells produce clean energy by combining hydrogen and oxygen with water being the only by-product, he said.

鈥淗owever their short lifetimes do not justify their high costs for many real-world applications. My research focuses on developing a prognostics and health monitoring framework that can help extend the lifetime of hydrogen fuel cells to make them more efficient, hopefully leading to a wide-scale industrial adoption.

鈥湼咔甯＠�片 is based on the use of machine learning techniques that identify short-term and long-term fuel cell health issues, which can then be used to improve the fuel cell's lifetime.

鈥淭apping clean energy sources is the need of the hour, and with my research, I aspire to help the world be a little greener.鈥�

As part of a research group within the School of Aerospace, Mechanical and Mechatronic Engineering聽led by Professor Ben Thornber focused on improving the landing operations of vertical take-off and landing aircraft,聽Doctor of Philosophy (Engineering) candidate聽Jack (Hee Sung) Park has developed a lightning-fast computational method able to assist both manned and unmanned aircraft operate and land on platforms such as large ships, oil rigs and various-sized buildings.

鈥淭he landing of helicopters and other aircraft on platforms such as ships, oil rigs and urban buildings is inherently risky," said Mr Park, who joined the University of Sydney from Handong University, South Korea in 2018.

"My research aims to better understand how aircraft descend and ascend in various conditions to improve their safety and performance.聽

鈥淧revious simulations have required complex recalibration, whereas the method we have developed computes simulations in a fraction of the time.

鈥淚 hope my research results in an accurate and computationally efficient way of predicting helicopters and unmanned air vehicle aerodynamics.鈥�

As part of the Intelligent System Transport Group led by Australian Centre for Field Robotics researcher Emeritus Professor聽Eduardo Nebot, Colombian Doctor of Philosophy (Engineering)聽candidate Julie Stephany Berrio Perez is developing an algorithm that helps autonomous vehicles鈥� in-built mapping systems detect changes in the environment and reflect those changes into the map so they can navigate roads safely.

"One of the requirements for autonomous vehicles to be able to operate persistently in typical urban environments is to maintain high accuracy position information over time,"聽said Ms Berrio Perez.

"In other words, the capability of an autonomous vehicle鈥檚 mapping and localisation system must adapt to changes in the environment.鈥澛�

"A map for autonomous driving applications which is created today might not be entirely valid next month, or even next week due to changes in the environment caused by construction sites, speed zone changes, new pedestrian paths, changing signals and new road infrastructure.

"Autonomous vehicle maps require continuous updates to operate safely. An alteration of the surroundings could cause the vehicle to stop operating autonomously or even cause an accident.

"It is then indispensable to have an algorithm capable of reflecting environmental changes on the vehicle's map."

Ms Berrio Perez鈥檚 work has been implemented on the聽, which was collected for more than a year. The autonomous, electrical vehicle was retrofitted with multiple sensors and was driven on a weekly basis around the University of Sydney campus.聽