IEEE South Australia Section

Artemis exploration at the Lunar South Pole presents unique terrain challenges and a key element of safe exploration is the provision of a cislunar and lunar surface distress tracking/notification system. NASA has a requirement to safely abort lunar surface operations, including extravehicular activity (EVA), and execute all operations required for a safe return to Earth. This includes the initial location determination of injured crew members, similar to international Personnel Recovery (PR) policy. An Australian research study conducted in cooperation with the Lunar Search and Rescue (LunaSAR) team at the Goddard Space Flight Centre aims to develop an international, community-wide distress notification and tracking beacon system architecture for lunar surface users engaged in exploration in the Lunar South Pole and other areas. LunaSAR's goal is the provision of persistent, reliable, and accurate distress location and notification services to lunar surface users and human-tended surface mobility elements. An overview of LunaSAR, the study and experimental results will be presented, including plans for next year’s field trial with NASA. Applications on Earth for safety of personnel in hazardous situations includes emergency services for floods, bush fires and generally serious unplanned incidents will be discussed. Speaker(s): Mark Room: N132, Bldg: Engineering North, University of Adelaide, Engineering North Bldg, Adelaide, South Australia, Australia, 5000

Dear IEEE members and guests, The next IEEE Control, Aerospace and Electronic Systems (CAES) seminar will be on Monday, 22nd November, 2022 at 5:30 pm (Adelaide time). The speaker is Prof Puneet Singla, he will be presenting a seminar on: Information and Resource Management (INFORM) For Accurate Tracking of Resident Space Objects Space situation awareness (SSA), including space surveillance and characterization of all space objects and environments, is critical for national and economic security. SSA is the ability to detect, track and characterize passive and active space objects. In light of the large number of Resident Space Objects (RSOs), and the generally accepted notion that our knowledge about the number and nature of most of the objects is severely limited, an unmet and urgent need exists for accurate tracking and characterization of RSOs. A common example involves assigning probabilities of collision of between two different RSOs. For RSO tracking, the core information needed is the orbit parameters and their associated uncertainties specified at a given epoch. This allows for accurate forward prediction but owing to both the nonlinearity of the orbital dynamics and measurement sparsity, the uncertainty associated with RSOs orbit increases in time. Given the fact that none of the prior accidental collision between tracked objects was observed in real time as they occurred, underscores the need for SSA. This talk will focus on recent development of mathematical and computational approaches for accurate tracking of RSOs within the geostationary (GEO) regime as well as beyond GEO (XGEO). The crux of the work lies in accounting for uncertainties in orbit and sensor models, characterizing the evolution of the uncertainty of the RSO position, and integrating disparate sources of sensor data with the model output using a Bayesian framework. The probability density function associated with state uncertainty is utilized to compute effective information metrics that reflect the information gain associated with ground-based observation platforms. These data driven metrics can be used to pose an optimization problem that provides an optimal sensor schedule to yield useful observations of high valued targets in space. To accommodate the increasing number of sensors and manage the computational challenges associated with the model data fusion process, it is necessary to develop a computational engine that gracefully scales with the resolution of the desired solution. By accurately characterizing the uncertainty associated with both process and measurement models, this work offers systematic design of low-complexity model-data fusion or filtering algorithms with significant improvement in nominal performance and computational effort. Results from studies corresponding to tracking RSOs, where traditional methods either fail or perform very poorly, are considered to assess the reliability and limitations of the newly established methods. Finally, some results corresponding to application of this framework to other aerospace applications such as reachability analysis for air mobility and surveillance of an area of interest with autonomous agents such as Unmanned Air Vehicles (UAVs) equipped with various sensors will be discussed. Speaker(s): Puneet Singla Room: N132, Bldg: Engineering North, The University of Adelaide, Adelaide, South Australia, Australia, 5000, Virtual: https://events.vtools.ieee.org/m/444239

Title: Lensless 3D imaging using multicore fibers exploiting physics-informed deep neural networks towards biomedicine IEEE Distinguished Lecturer Prof Juergen Czarske from TU Dresden, Germany, will visit us in Adelaide on November 29th. He will give a Distinguished Lecturer Talk at the University of Adelaide to share his research and academic journey. Please join us at the talk. Light refreshments and food will be provided. Regards, Dr Xin Yuan (Vernon) Educational Activity Chair IEEE South Australia Section Abstract: Light has the potential to recognize the development of diseases, to prevent them or to heal them early and gently. Traditionally, however, lens-based imaging results in bulky systems. We highlight key-hole access 3D imaging with lensless multicore fiber endoscopes exploiting diffusers and physics-informed deep learning with learnable multiple Wiener net towards in brain diagnostics. The career from Clods as a Farmer to Professorship is highlighted too. Juergen grew up on a small farm and the path seemed set, but success at school and hobbies opened a new world, leading to research areas like, Deep Holography towards paradigm shifts in biomedicine, quantum imaging, classical and quantum communication. Juergen W Czarske (Fellow EOS, OPTICA, SPIE, IET, IOP) is director and full chair professor of the TU Dresden, Germany. His awards include the 2019 OPTICA Joseph-Fraunhofer-Award/Robert-M.-Burley-Prize in Optical Engineering and the 2024 SPIE Dennis Gabor Award in Diffractive Optics. Juergen fosters talented students early. The students and members of his lab have won over 100 prizes, including Bertha-Benz award of Daimler Benz Foundation (10,000 Euro). Juergen is Vice President of International Commission for Optics, ICO, and was the general chair of the world congress ICO-25, which was co-sponsored by OPTICA, SPIE, IEEE, Zeiss, DGaO-The German Branch of EOS, IUPAP. 3 Nobel laureates have delivered plenary lectures and the participants came from 5A (America, Asia, Australia, Africa and Amazing Europe). S112, Engineering South Building, The University of Adelaide, Adelaide, South Australia, Australia, 5005

IEEE South Australia Section End of the Year Dinner 2024 Adelaide Pavilion, Adelaide SA, Australia Adelaide, SA 5000 6 December 2024 IEEE South Australia Section AGM starts 5:35pm Pre-Dinner Drinks at 6:30pm and Guest Talk during Main Course Speaker(s): Associate Professor Mathias Baumert Adelaide, South Australia, Australia