Title: The Technology response to the Bushfires Royal Commission – using technology to reduce the probability of electricity fire starts
Speaker: Graeme McClure, Principal Engineer Protection, Control and Automation, AusNet Services
Date: Monday 5 October 2015
Graeme is a technical specialist on network aspects of smart grid at AusNet Services. He is responsible for AusNet Services technology review in response to the Victorian Bushfires Royal Commission. He is also the technical lead on AusNet Services self healing network, integrated Volt / Var strategy, integrating embedded generation and storage, and enhanced distribution network control. AusNet Services self-healing network has been in service for three years and has changed several aspects of operating the network. Distributed generation at AusNet Services ranges from wind farms to domestic solar. Many mid-sized embedded generators produce power from tip gas and water transfer. Integrated Volt Var control (IVVC) and embedded energy storage are seen as key technologies for the future.
Prior to working with AusNet Services, Graeme was employed as product development manager at Doble for Asia Pacific, Middle East and Africa regions. He also previously held a position as product development manager for outdoor automated distribution switchgear at ABB in Raleigh, N.C. Graeme began his engineering career as an engineer-in-training with the State Electricity Commission of Victoria and hold a degree in electrical and mechanical engineering.
The Victorian electrical distribution network is converting to resonant earthing in bushfire prone areas. The use of resonant earthed electrical distribution feeders with residual current compensation is a technology "considered worth investigation" for used on Victorian Electricity Distribution feeders to reduce the possibility of fire starts. This recommendation was made by the Victorian Bushfire Taskforce, set up by the Department of Primary Industries (DPI) Victoria and Energy Safe Victoria (ESV), in response to recommendation 27 of the 2009 Victorian Bushfires Royal Commission. This technology is characterised by its rapid response rate and extremely low residual currents that flow into a fault. Resonant earthing systems with residual current compensation are commercially used for improving network reliability and have never been evaluated for use for its ability to reduce fire starts. The presentation shall cover the performance of preliminary testing of resonant earth systems and other technology to minimise the potential for fire starts from electrical distribution line faults.
Title: Touch and feel the human-unreachable world: haptic device and haptic rendering for haptic based teleoperation systems
Speaker: Dr Guanyang Liu, Department of Mechanical Engineering and Automation, Beihang University, China
Date: Monday 7 September 2015
Dr. Guanyang Liu is an Assistant Professor in the Department of Mechanical Engineering and Automation at Beihang University in China. He is a member of State Key Lab of Virtual Reality Technology and Systems in China. He is also a visiting research fellow at Monash University. He received his Ph.D. in Robotics Institute at Beihang University. He has been working in the fields of robot deign, dimensional synthesis and optimization, artificial neural network algorithms and haptic interaction. Currently, he is focusing on the research of haptic interaction and haptic device design. His research on haptic based human motor skill training is currently funded by National Science Foundation of China (NSFC). His research on haptic based teleoperation systems is funded by National High-Tech Research and Development Program of China (863 Program). His research on haptic device design is funded by the China Academy of Space Technology (CAST). He has published more than 40 papers, and served as proposal referee for NSFC and paper referee for more than ten journals and conferences.
Based on the research of haptic interaction, physical interaction with virtual environment and human-unreachable environments is becoming a reality, to touch and feel a virtual world or real world. Whatever human-computer interaction or human-robot interaction, the research goal of haptic is to understand how haptic information can improve them, which includes haptic device design and haptic rendering algorithms. In this topic, two specially designed haptic devices for teleoperation systems are proposed, and the artificial neural network based forward kinematic solution is presented to guarantee the high update frequency of haptic loop while using an embedded control system. Genetic algorithm based dimensional synthesis is used to optimize the mechanism variables to meet all conditions and requirements. An object-based haptic control scheme is developed to provide a more identifiable force feedback for an operator to feel and grasp different objects in a teleoperation system. In this method, a pre-grasp process is defined during which the estimation of the object parameters is performed by using Hunt-Crossley dynamic models. Based on these parameters, the motion mapping coefficient of the teleoperation system is adjusted along with the difference in each object so that more refined grasp force feedback is provided.
Title: Robot Hands for the Real World
Speaker: Professor Robert D. Howe, Thinker in Residence, Deakin University; Professor of Engineering, Harvard School of Engineering and Applied Sciences
Date: Monday 21 September 2015
Robert D. Howe is Abbott and James Lawrence Professor of Engineering and Area Dean for Bioengineering at the Harvard School of Engineering and Applied Sciences. Dr. Howe founded the Harvard BioRobotics Laboratory in 1990, which investigates the roles of sensing and mechanical design and motor control, in both humans and robots. His research interests focus on manipulation, the sense of touch, and human-machine interfaces. Biomedical applications of this work include of robotic and image-guided approaches to minimally invasive surgery. Dr. Howe earned a bachelors degree in physics from Reed College, then worked as a design engineer in the electronics industry in Silicon Valley. He received a doctoral degree in mechanical engineering from Stanford University in 1990, and then joined the faculty at Harvard. Dr. Howe is a Fellow of the IEEE and the AIMBE. He is a recipient of the National Science Foundation Young Investigator Award as well as Best Paper Awards at mechanical engineering, robotics, and surgery conferences. Lab web site: http://biorobotics.harvard.edu/.
Manipulating objects in unstructured environments like homes and workplaces is challenging because object properties are not known a priori and sensing is prone to error. Research in this area has largely focused on anthropomorphic hands that are complex, fragile, and difficult to control. We are pursuing an alternate approach that focuses on the passive mechanical behavior of the hand. By integrating carefully-selected joint compliance and adaptive transmissions, we have developed a simple and inexpensive hand that can grasp objects spanning a wide range of size, shape, weight, and position, while using only one motor. The hand is constructed using polymer-based Shape Deposition Manufacturing (SDM), resulting in a robust design that can withstand large impacts. Experimental testing demonstrates that the SDM Hand can autonomously grasp objects despite large positioning errors, while keeping contact forces low. A new hand, the iHY Manipulator, combines optimized passive mechanics with five motors for precision fingertip manipulation. We have also developed a low-cost sensor suite for these hands that includes distributed tactile sensors, flexture joint sensors, and piezoelectric contact sensors. By taking advantage of intrinsic finger compliance, these sensors can rapidly and effectively acquire essential object properties without complex and precise controllers. The combined hand and sensor system can deal with a wide range of objects and tasks, enabling effective grasping and manipulation in many real-world settings.
Title: The Development of Radiopharmaceuticals in Australia
Speaker: Michael Druce, Chief Technical Officer, Nuclear Business, Australian Nuclear Science and Technology Organisation (ANSTO)
Date: Monday 3 August 2015
Michael Druce is Nuclear Business's Chief Technology Officer and Manager of Client Office activities for the new ANM Plant. He provides technical support for Nuclear Business Projects and Operations.
Michael has extensive experience in the development and manufacture of radioisotopes for both medical and industrial applications. He provides technical advice on ANSTO projects and consulting services to other organisations. He is the technical director for the new ANM Mo-99 Plant and responsible for preparing the plant for operations.
Michael holds a Bachelor of Applied Science (Chemistry) and a Master of Business Administration. He has also graduated from the Australian School of Nuclear Technology and is a Graduate of the Australian Institute of Company Directors. He has over 30 years of experience with both reactor and cyclotron based radioisotopes. He is based at ANSTO's Lucas Heights campus.
This talk will give an overview of the use of radioisotopes in medicine, both in Australia and overseas.
ANSTO, as Australia's nuclear agency has contributed significantly to its use in Australia. ANSTO now sells radioisotopes for medical applications not only across Australia and New Zealand but also exports globally with substantial sales in both the USA and Japan.
ANSTO is a government "Research and Development" organisation and all of ANSTO's major nuclear medicine products and processes have been developed internally. However, this development process was undertaken by the operating division, not by the research divisions. This initially occurred after the research divisions failed to develop the products into a market-ready state. Often "Research and Development" are banded together as if they are the same function however our experience has shown that they should be considered as separate functions and managed accordingly. The difference between the research function and the development function will be discussed.
Title: Motion sickness and thermoregulation: from humans to rats and back
Speaker: Associate Professor Eugene Nalivaiko, Director, Neurocardiology Laboratory, School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle
Date: Wednesday 1 July 2015
A/Prof Nalivaiko is a head of the Neurocardiology Laboratory at the School of Biomedical Sciences and Pharmacy of the University of Newcastle. He obtained with MD (1981) and PhD (1986) in Ukraine, and conducted his post-doctoral training at CNRS (Paris), Strasbourg University (France), St. George¹s Hospital Medical School (London) and at the Research Centre of Sanofi (Montpellier, France). In 1997 he moved to Flinders University (Adelaide) where he have established his own group, and in 2008 accepted the Senior Lecturer position at the University of Newcastle (A/Prof from 2010). Eugene's expertise in in the brain-body interaction; he is currently involved in three projects: i) mechanisms of motion sickness; ii) biomarkers of resilience; iii) link between emotions and respirations. Eugene has co-authored 72 journal publications and 2 book chapters.
Principal symptoms of motion sickness in humans include facial pallor, nausea and vomiting, and sweating. It is less known that motion sickness also affects thermoregulation, and the purpose of this talk is to present and discuss existing data related to this subject. Hypothermia during seasickness was firstly noted nearly 150 years ago, but detailed studies of this phenomenon were conducted only during the last two decades. Motion sickness-induced hypothermia is philogenetically quite broadly expressed as besides humans; it has been reported in rats, musk shrews and mice.
Evidence from human and animal experiments indicates that the physiological mechanisms responsible for the motion sickness-induced hypothermia include cutaneous vasodilation and sweating (leading to an increase of heat loss) and reduced thermogenesis. Together, these results suggest that motion sickness triggers highly coordinated physiological response aiming to reduce body temperature. This response has potential adaptive role during intoxication-induced nausea, and potentially is an accidental by-product of motion sickness. It can be accurately measured to quantify motion sickness.
I will describe our earlier studies of motion-induced hypothermia in animals, and will focus on our most recent studies of cybersickness in humans. We found that out of several physiological measures, sweating on the forehead (determined by measuring skin conductance) is the best correlate for nausea score.
Title: Computational Modeling and Simulation for Decision Making in Global Health
Speaker: Associate Professor Bruce Y. Lee, Bloomberg School of Public Health, Johns Hopkins
Date: Tuesday 30 June 2015
Bruce Y. Lee, MD, MBA is Associate Professor of International Health at the Johns Hopkins Bloomberg School of Public Health, Director of the Global Obesity Prevention Center (GOPC) at Johns Hopkins (www.globalobesity.org), and Director of Operations Research at the International Vaccine Access Center (IVAC). Dr. Lee has over 15 years of experience in industry and academia in public health operations research, which involves developing and utilizing mathematical and computational methods, models, and tools to help stakeholders better understand decision making, processes, and systems. He has been the Principal Investigator for a number of projects supported by a variety of organizations and agencies including the Bill and Melinda Gates Foundation, the National Institutes of Health (NIH), the Agency for Healthcare Quality and Research (AHRQ), UNICEF, Global Good, and the Global Fund.
His previous positions include serving as Senior Manager at Quintiles Transnational where he led teams that developed economic and operational models for a variety of clients in the pharmaceutical, biotechnology, and medical device industries, working in biotechnology equity research at Montgomery Securities, and co-founding Integrigen, a biotechnology/bioinformatics company, and serving as an Associate Professor at the University of Pittsburgh, where he founded PIHCOR (Public Health Computational and Operations Research), which is now based at Johns Hopkins.
Dr. Lee has authored over 160 scientific publications (including over 80 first author and over 35 last author) as well as three books: "Principles and Practice of Clinical Trial Medicine", "What If… ? : Survival Guide for Physician's, and "Medical Notes : Clinical Medicine Pocket Guide". He is an Associate Editor for the journal Vaccine and Area Series Editor for the Wiley Series on Modeling and Simulation. He also is a regular contributor to the Huffington Post. He and his work have garnered attention in leading media outlets such as the New York Times, Los Angeles Times, Businessweek, U.S. News and World Report, Bloomberg News, Nature Medicine, and National Public Radio (NPR). Dr. Lee received his B.A. from Harvard University, M.D. from Harvard Medical School, and M.B.A. from the Stanford Graduate School of Business. He completed his internal medicine residency training at the University of California, San Diego.
We will review some examples of our ongoing efforts to develop and utilize computational models to help a wide variety decision makers (e.g., funders/donors, policy makers, disease control officials, healthcare workers, and manufacturers) address a variety of major issues affecting health and wellness throughout the world. Examples includes models of supply chains (HERMES), healthcare systems (RHEA), communicable and non-communicable diseases, and various types of technology to inform product development.
Title: Intelligent Agent Technology for Intelligent and Autonomous Systems
Speaker: Dr Andrew Lucas, Managing Director, AOS Pty Ltd
Date: Monday 1 June 2015
Andrew Lucas is the founder and Managing Director of AOS Pty Ltd and of its subsidiaries in Cambridge, UK and Dallas. AOS specialises in the development of reasoning software for the rapidly developing field of intelligent robotics and autonomous systems. Andrew holds a Ph.D. in Aeronautical Engineering from Cambridge University, United Kingdom and a Bachelor of Engineering (1st Hons) from the University of Melbourne, Australia. He has over forty years of experience in various engineering roles in aerospace & defence, management consulting, robotic systems, artificial intelligence software, and telecommunications. Andrew started in the aerospace industry in the design team of the Nomad light turboprop, and then for Rolls-Royce, Derby. He later founded The Preston Group (now Preston Aviation Solutions, a division of Boeing). He has nearly twenty years experience in the technology of Artificial Intelligence and Software Agents and their applications in simulation and robotics.
AOS is applying Artificial Intelligence technology to unmanned vehicles, and has recently tested its "Intelligent Watch Dog", and autonomous surveillance system, in conjunction with Insitu Pacific Limited and RMIT University. AOS, together with BAE Systems, Airbus, Cobham, QinetiQ, Rolls-Royce and Thales, are partners in the UK national ASTRAEA Unmanned Air Systems program.
Autonomous and intelligent systems are now in the news on a daily basis – the Google Car, Amazon's Prime Air system for small parcel delivery, and the UK Government announcement of the trial of autonomous vehicles in three cities in 2015. Autonomous and intelligent systems rely upon the convergence of a new generation of low cost, low power consumption sensors and a new generation of reasoning software. AOS's work on intelligent software agents has led to their adoption for autonomous systems. This talk will highlight a couple of recent applications and the potential for autonomous systems in Australia's key industries of agriculture and mining.
Title: 3D Spatial Environment and Precision GNSS Navigation For Machines
Speaker: Graeme Hooper, Managing Director, GPSat Systems Australia
Date: Monday 4 May 2015
Graeme Hooper graduated Electrical Engineering from Monash University in 1980. Starting as a RF Design Engineer 1981-86 for Andrew Antennas, he then joined Rockwell International from 1987 to 1992 working in the USA on military GPS systems and equipment development. Since founding GPSat Systems Aust 1993, the company has continuously delivered innovative satellite navigation (GNSS/GPS) equipment, system solutions and technical expertise to Australian regional markets. The company's dedicated team of professional engineers with broad multidisciplinary skills in electronics, software, geomatics and information technologies, continue to deliver "frontier GNSS navigation projects", to advance 3D machine automation, air navigation infrastructure, thoroughbred race horse training, and defence navigation warfare systems to mention a few.
A background journey into the industrial 3D spatial environment and the associated use of precision GNSS navigation for mining machines will be presented. Examples associated with applications as diverse as truckless mining (e.g. the Vale S11D in South America), precision rail mounted stockpile machines subjected to mechanical skew distortion and rail ground subsidence problems, and automated remote bulk ship loading of ore will be presented. A look at the present and the future of machine 3D spatial navigation for efficient, safe automation and control of machines.
Title: Challenges and Innovations in Designing Lightweight Armours for Protected Vehicles and Critical Structures against Blasts and Impacts
Speaker: Dr Tuan Ngo, Director, Advanced Protective Technologies for Engineering Structures (APTES) Group, Department of Infrastructure Engineering, The University of Melbourne
Date: Tuesday 28 April 2015
Dr Ngo is one of Australia's leading researchers in an area of critical infrastructure protection, and as a world expert in blast and extreme loadings. He is a co-founder and Director of the internationally recognised research group in this area - the Advanced Protective Technology of Engineering Structures (APTES) Group at the University of Melbourne. Dr Ngo has attracted significant amounts of research funding (totalling more than $10M) from the ARC, CRCs, Department of the Prime Minister and Cabinet, CSIRO, DMTC and Industry. Between 2005-2009, he was the Research Manager of the ARC Research Network for a Secure Australia (RNSA), the Australia's most comprehensive network in the multi-disciplinary areas related to critical infrastructure protection from natural or human-caused disasters (including terrorist acts).
Dr Ngo has won a number of prestigious scientific awards, including the Safeguarding Australia Award (2011) for the best contribution to national security technology research and the prestigious Eureka Science Prize (2013) for Outstanding Science in Safeguarding Australia. He has been working as an expert on many government projects related to national critical infrastructure security (airports, bridges, tunnels, ports, gas and power plants, water pipelines etc.) and the protection of Australian diplomatic posts overseas. Dr Ngo is one of the pioneers in Australia carrying out research in the lightweight composite materials systems for blast and ballistic protection. Dr Ngo has been leading the research and development of advanced protective materials and systems for a number of companies in the defence, civil and security industries.
Force structure planning by tile Australian Defence Force is driving an evolution in the design and development of protected military vehicles. Future vehicle acquisition plans include vehicle that are smaller and lighter and this is influencing the types of vehicles being developed by defence companies. Engineers are faced with the challenge of minimising the weight of the vehicle while still meeting structural performance, protection levels and endurance requirements. Meeting these challenges has pushed engineers to embrace lightweight materials, explore new design concepts and take advantage of state of the art engineering tools. The underlying question is: How to mitigate the extreme blast and ballistic loads acting on critical structures to minimise damage and casualties? Much of Dr's Ngo research effort over the last 15 years has been expended to look for answers to these challenges. His presentation will highlight the innovations in designing lightweight armours for critical structures including protected vehicles for extreme blasts and impacts.
Title: Aerial Robotics – Future Opportunities and Challenges
Speaker: Kelvin Hutchinson, Remotely Piloted Aircraft
Date: Monday 20 April 2015
Kelvin Hutchinson is a serial entrepreneur, having been a property developer, angel investor in high tech companies, President of Queensland Entrepreneurs for 5 years, aviator, farmer, aerial robotics futurist and more recently patent holder for aerial robotics technologies that will allow beyond visual line of sight flight for Unmanned Aircraft Systems worldwide.
In 2002 Australia's Aviation authority CASA led the world by approving the use of aerial robots. The industry was so new that it took over 10 years before CASA and industry pioneers started to figure out how to issue pilot and business licenses and make money. In 2013 the first Aerial Robotics flying school was approved by CASA. This spearheaded exponential growth in CASA applications for new aerial robotic businesses across Australia.
Commercial success still eludes the majority of aerial robotic entrepreneurs due to a general misunderstanding of the significant part payloads and software processing play in this industry.
Who will succeed and why? Where are the opportunities for the education sector, business, government and individuals? The discussion will consider what are the catalysts, opportunities and roadblocks relevant to commercial and sustainable success.
Title: Non-Destructive Testing and Reliability Solutions for Utility Overhead Lines
Speaker: Dr Jalal Kia, Reliable Lines
Date: Wednesday 15 April 2015
Dr Jalal Kia completed his BSc in Electronics and MSc in Computer Science from Sharif University of Technology in Tehran and his PhD in Artificial Neural Networks in University of Auckland in 1993. Since then he has been involved in research and development for dairy, forestry, printing and utility power industries in the fields of Computational Intelligence, Automation, Reliability and Software Engineering. Currently, he is the CEO, founder and director of various companies including Reliable Lines that specialize in providing software, pole testing technologies, engineering and reliability solutions for utility power industry. He has developed WoodScan, PoleScan, Pole Tester and Pole Designer mobile application products. His software applications have been used in various countries to assess the condition of tens of thousands utility poles and engineering design of overhead lines.
Electrical utility and telecommunication industries have been searching for new solutions to the problem of assessing the condition of aging wooden poles. The majority of suggested solutions use a variation of non-destructive testing (NDT) technology. In this presentation, we introduce three separate technologies capable of assessing the remaining strength of wooden poles. The methods used in these devices are Time of Flight using Electro-Mechanical Acoustic Pulse, Radar Beam using Ground Penetrating Radar technology and Impulse Excitation Technique by measuring natural frequencies of the pole. Asset managers are increasingly recognising the importance of calculating the effect of extreme wind loads on overhead lines in addition to finding out the remaining strength of the poles. In this regard, we review a probabilistic load calculation method by introducing an engineering Reliability Based Design approach that ensures the overhead line structure has enough strength to withstand the extreme wind loads.
Title: MCV: A (semi-)hierarchical image labelling technique utilising MRF image models
Speaker: Dr John Mashford, CSIRO
Date: Monday 30 March 2015
John Mashford studied Mathematics, Physics and Philosophy at Melbourne University between 1975 and 1979 where obtained a BSc.(Hons.) degree. In 1980 he worked for the engineering company Nelson English, Loxton and Andrews. Between 1981 and 1984 he studied Mathematics at the State University of New York at Stony brook concentrating on Differential Geometry and Analysis (with a 7 month break living in Paris). He commenced working for CSIRO full time in July, 1985. He completed his PhD on mathematical physics part time at Melbourne University, while working full time for CSIRO, between 1992 and 2005. He ceased working for CSIRO full time in November 2014 and is currently a consultant mathematician. He has programmed in FORTRAN, C, C++, Lisp, PROLOG and Java and is familiar with the DOS, Windows and UNIX operating systems. His CSIRO research has been in the areas of operations research, artificial intelligence and mathematical modelling concentrating specifically on computer vision. He has published more than 40 papers and is a member of IEEE and ACM. He invented and implemented a method for rail route optimisation which resulted in a multimillion dollar CSIRO spinoff company and was awarded the Australian Technology Award, and also the MCV image labelling algorithm which is currently being run on CSIRO supercomputers for remote sensing applications.
In this talk the MCV (Markov concurrent vision) image labeling algorithm is described. This algorithm is a (semi-) hierarchical algorithm commencing with a partition made up of single pixel regions and merging regions or subsets of regions using a Markov random field (MRF) image model. It is an example of a general approach to computer vision called concurrent vision in which the operations of image segmentation and image classification are carried out concurrently. The output of the MCV algorithm can be a simple segmentation partition or a sequence of partitions which can provide useful information to higher level vision systems. In the case of an autoregressive Gaussian MRF the evaluation of sub-images for homogeneity is computationally inexpensive and may be effected by a hardwired feed-forward neural network. The merge operation of the algorithm is massively parallelizable.
Title: Computational Intelligence-based Systems: Architectures, Algorithms, and Applications
Speaker: Associate Professor Chee-Peng Lim, Centre for Intelligent Systems Research, Deakin University
Date: Monday 2 March 2015
Chee-Peng Lim's research interests include design and development of computational intelligence-based systems for pattern classification, data mining, condition monitoring, medical prognosis and diagnosis, manufacturing process optimization and decision support. He collaborates closely with researchers in the international arena, whereby he received the Australia-India Senior Visiting Fellowship, 2013 (by Australian Academy of Science), Australia-Japan Emerging Research Leaders Exchange Program, 2013 (by Australian Academy of Technological Sciences and Engineering), Australia Endeavour Executive Award, 2009, Commonwealth Fellowship, 2003 (University of Cambridge, UK); Fulbright Scholarship, 2002 (University of California, Berkeley, USA). To date, he has published more than 270 technical papers in journals, conference proceedings, and books, received 7 best paper awards, edited 3 books and 12 special issues in journals, and served in the editorial board of 5 international journals.
In this information age, the usefulness and applicability of computerised intelligent systems in deriving knowledge enterprise is well-recognised. As an example, search and advertising tools of Google provided $111 billion to economic activities of the USA in 2013. Computational intelligence is a broad discipline that encompasses many different methodologies inspired by human and/or animal intelligence. In this lecture, the benefits of utilising computational intelligence for designing and developing computerised intelligent systems are exemplified. Different architectures and algorithms of individual and hybrid computational intelligence models, which include artificial neural networks, fuzzy systems, and evolutionary algorithms, are explained. Applications of such computational intelligence-based systems to a number of real-world problems are demonstrated.
Title: Building Effective Simulation Programs: Going Beyond Education to Design Better Healthcare Delivery
Speaker: Associate Professor Marcus Watson, Schools of Medicine & Psychology, The University of Queensland; Executive Director, Queensland Health Clinical Skills Development Service
Date: Wednesday 11 February 2015
A/Prof Marcus Watson is the Executive Director of the Clinical Skills Development Service, Australia's largest healthcare educational and research simulation program distributed across Queensland. He is an Associate Professor of Medical Education in the School of Medicine and an Honorary Associate Professor in the School of Psychology at The University of Queensland. He has extensive knowledge of simulations and human factors in both healthcare and defence. He has experience as a developer and instructor working with computer based simulation, high end immersive simulation, serious games and distributed learning. Marcus is a contributor to the HWA NHET-Sim program and the Chair of the Board of Simulation Australia. Marcus instructs on a range of workshops including simulations development, serious games, online learning and human factors in healthcare. He has received national awards for innovation and the Jerome Ely Award for the Best Paper in Human Factors for 2004.
The use of simulations in healthcare is not new; however, changes in the way we deliver care and accumulating research into the effectiveness of simulations is increasing the application of simulations internationally. Healthcare simulations is transitioning from a focus on individual clinical skills to the application of simulations to develop clinical teams and even the redesign systems. The growth over the last five years has been dramatic yet many healthcare organisations are struggling to efficiently implement large-scale simulations programs. Examples of effective programs from the literature will be used to examine why simulations can achieve such large effects. The discussion will also cover how simulation can be used to reduce training requirements and improve patient care by using simulation to understand and test processes of care.
Title: Neuromorphic Approaches to Computing Acoustic Information
Speaker: Associate Professor Neil McLachlan, Melbourne School of Psychological Sciences, Melbourne University
Date: Monday 9 February 2015
Dr McLachlan is an Associate Professor in Psychological Sciences at The University of Melbourne and has broad professional experience in music, acoustic design, engineering, and auditory neuroscience. In 2000 he designed the World's first harmonic bells, and more recently has designed a new harmonic percussion ensemble for use in educational and a range of community contexts. To establish better design criteria for musical instrument design he has developed the first end-end neurobiological model of auditory processing. He has computationally implemented aspects of this model leading to the development of new sound segregation and recognition algorithms for hearing prosthetics and automated sensing systems.
During the 1890's Ivan Pavlov observed that dogs could be conditioned to salivate at the sound of a bell. The association of conditioned stimuli to behaviours has been studied in a wide range of animals for over a century, however practically no research has been undertaken on how animals learn to recognize sounds in the first place. This is important because sound recognition likely occurs early in auditory processing, and underpins most other auditory functions. Previous research has shown that conditioned reflexive responses to sound involve ponto-cerebellar pathways, and so these pathways likely underpin sound recognition more generally. High level computational models of these pathways have been used to recognize human speech, music, environmental sounds and animal calls, and to act as adaptive filters for integrating pitch and loudness information. This paper will outline a new neurocognitive account of the auditory pathways and provide examples of computational algorithms based on this model. More broadly, it will discuss the possibility that neuro-cognition based on memory processes may provide the operating systems for future generations neuromorphic computers based on memsistors. These computers will learn and adapt to natural environments just like animals, but can "inherit" (or share) their sense memories from other computers at any time.