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Centre for Intelligent Systems Research

CISR Research Seminar Series - 2012

  CISR presentation
blue star Professional development
yellow star Keynote lecture
purple star External presentation
red star No presentation

Seminars will be held at 12pm in the CISR Breakout Area (except where otherwise indicated)

Date Presenter Presentation/topic
Monday 17th December Khashayar Khoshmanesh External presentation  Manipulation of nano/micro/macro particles in microfluidics under dielectrophoresis 


Dielectrophoresis, the induced motion of dielectric particles in non-uniform electric fields enables the manipulation of particles in microfluidic systems. This presentation reviews the application of dielectrophoresis for manipulation, separation, immobilisation and characterisation of nano/micro/macro scale particles in microfluidic systems. Several applications are demonstrated, including: (i) the forced assembly of silicon naoparticles to build a suspended optical waveguide, (ii) separation of polystyrene beads based on their size, (iii) separation of cells based on their cytoplasmic properties or size, (iv) characterising the response of cells under drugs, and (v) immobilisation and imaging of embryonic organisms in microfluidics.

Monday 10th December Gorkem Acaroglu External presentation  Technology as a subject in dramatic theatre 


Theatre Director and Deakin PhD Candidate, Gorkem Acaroglu will describe her year long practical research project, funded by the Australia Council Inter-Arts' Panels' Artlab Initiative.

The MRPL examines the use of technology as a subject in dramatic theatre, where the technology (such as robots and avatars) plays an equal role as actor on stage with human actors in traditional text based theatre.

Gorkem is working with a team of actors, designers and other artists to explore technology's role in the classic play Ghosts by Henrik Ibsen. The team have so far spent two weeks in a motion capture lab, they will now spend one week at CISR and next year will hope to work in a games lab, culminating in a presentation at the International Symposium of Electronic Arts (ISEA) in Sydney June 2013.

Monday 3rd December Matthew Watson Condensing a priori knowledge for recognition based augmented reality 


The talk covers some of my research on generating and refining a priori knowledge for use in the recognition and pose estimation of objects. I'll overview some methods and results.

Thursday 29th November

B. Bahadori External presentation  Carbon Capture and Sequestration 


More than 20 years of professional experience in research, prefeasibility and feasibility study, front-end engineering, design & construction, detailed engineering, quality control & management, leadership, execution and technical support for Oil & Gas and Energy (onshore, offshore, upstream & downstream) in worldwide international organisations such as BP, Technip, Total and other similar industries. More than 5 years research activities on gas separation including three years PhD studies were funded by the Polymer Network of West-France. PhD studies focussed on membrane preparation by cold plasma RPECVD (Remote Plasma Enhanced Chemical Vapour Deposition). The new method and innovation on plasma reactor led to the introduction in to the market of the new selective membrane following the diffusivity in mass transfer.


Carbon capture and sequestration is an emerging industry under development and is significantly supported by developed countries to reduce greenhouse gas emission. The main source of carbon is the energy sector, particularly in Victoria. Australia's coal-fired power generation sector suffers from low efficiency and high CO2 emissions. Carbon capture and sequestration for retrofit and new energy generation is considered to be the best option for emission reduction. The Australian government is funding demonstration projects and research on new technologies and research at a level of more than a billion dollars to meet its emission targets for 2025 and 2050. The capture process is based on solvent based absorption, membrane-solvent and adsorption process technologies. The main goal for research in carbon capture and sequestration is to reduce the capture cost whether via Post-Combustion Capture (PCC), integrated process in gasification or other integrated processes like IGCC and IDGCC.

Monday 26th November James Zhang Some thoughts on simulation emulation and system verification 


The talk covers some thoughts and lessons from personal experiences of programming simulation /emulation models. A few case studies are presented. It also touches some preliminary work on system verification, which is to make sure the system works the way described in the design specification.

Monday 19th November Margaret Kumar Professional Development  Understanding Language 


This seminar is a general introduction to the functional nature of language and its use. It will discuss how language is applied to research writing. It will explore linguistic terms and punctuation. It will be basically a refresher course to familiarise you with the general terminology and rules associated with each item of sentence structure; for example, items such as punctuation, articles and prepositions. The session reviews various forms of sentence structure and how to use them effectively in academic writing. In the process, various tips and strategies for effective writing will be outlined.

Monday 12th November Tim Black An Epic journey: Mongol Rally in pictures 


3 men, a 1.3 Lt Car, 20,000 Km, 17 Countries, No map, all for Charity.

Every Australian has a dream of doing an epic driving adventure, but some of us have a dream of having an epic driving adventure all in the name of a good cause.

Unfortunately, most never make it... but are happy to watch it on Top Gear.

Three men, not-so-young, not-so-athletic, and not-so-likely-to-set-a-world-driving-record, have refused to give up on that dream (but still watch Top Gear) and have nominated themselves for the 2012 Mongol Rally.

This team is The Men Who Stare At Camels, a Mongol Rally Team for 2012.

In July 2012 Tim headed off to drive across 1/3 of the Earth's surface, driving from Prague (Czech Republic) to Ulaanbaatar (Mongolia), which was 20,000 km of adventuring bliss through deserts, mountains and grasslands. All this was done for charity, with no set route, no guides, and no support crew, all in a tiny car designed to never leave the flat, well groomed roads of inner city suburbia. Join Tim for a picture filled talk about this epic journey, full of pot holes, police officers, burning holes in the ground, breakdowns and of course staring at camels.

Monday 29th October Prof. Tyrone Fernando External presentation  Functional Observers and its Applications 


Tyrone Fernando obtained his bachelor of engineering with honours and the degree of doctor of philosophy from the University of Melbourne in 1990 and 1996 respectively. In 1996 he joined the University of Western Australia, School of Electrical Electronic and Computer Engineering (EECE) where he is currently a Professor. He was the Deputy Head of School in 2009 and 2010. He has also been the chair of EECE Teaching and Learning committee for three consecutive years from 2008-2010. His research interests are in control theory and application of control theory to biomedical engineering and Power systems. He has served as an Associate Editor for IEEE Transactions on Information Technology in Biomedicine and also as guest editor for the journal of Optimal Control Applications and Methods. He is a senior member of the IEEE


The design of linear functional observer for time-invariant systems has been a well-researched topic for over four decades. In this presentation I will outline some of the latest developments in the area. I will also introduce the concept of Functional Observability/Detectability and show that those are special cases of Functional Observability/Detectability. Examples on how to design Functional Observers when the pair (A,C) is not Observable/Detectable will be shown. I will also discuss briefly the application of Functional observers to the Load Frequency control problem and target tracking.

Monday 22nd October Rashid Ahmad External presentation  Development & Applications of Absorbable Materials for Surgical Operations with Special Reference to "MedianSternotomy" using simulation techniques in conjunction with confirmatory tests 


Dr Rashid Ahmad, holds Ph.D. (Dr.-Ing.) degree in numerical mechanics area from Technical University Hannover, Germany and M.Sc. Engineering (Dipl.-Ing.) in Structural Analysis field from Technical University Darmstadt, Germany.

Rashid has more than 30 years international industry experience in CAE/ Simulation with various international companies in various positions - Ford, BTR, Delphi and Boeing - both mechanical structures and human beings accidents & injuries, including active and passive safety measures. He is currently research academic (visitor) at IMF. He is an Australian living since 1982 in Highton.

For the last three and half years, he has been working to understand in depth the "human body" from engineering/structural mechanics point of view with the aim:

  • To "transplant" the simulation technology from pure mechanical world - automotive & aerospace - to the human body.
  • To develop multi-discipline team involving specialists from engineering and medical disciplines.
  • To communicate and understand better the technical language of medical specialists - Cardiothoracic Surgeons, MRI & CT-Scan and other Medical Imaging Specialists.


The project aims to use the simulation technology along with confirmatory testing to develop and apply absorbable materials in surgical operations. The research also aims to develop person specific methods & materials, as every person is different and has different medical history. Initially we have selected to work upon a 50 % percentile adult male. Our current focus is thorax area and heart surgery - "Sternotomy" . We need a very detailed geometry of the specific person loaded into a CAD system. It is done by segmenting the MRI-data from the specific person. From a verified CAD-model, a detailed Finite Element Model will be developed and correlated to the test results from MRI-Lab. Once the FE-Model is correlated, it can be used initially for parametric study.

For further study, we need to understand the behaviour of various materials involved more precisely. From Structural Mechanics point of view, human being is made of very complex materials with very complex connections among various body parts. Material laws and their numerical formulation need to be researched in vivo. New absorbable materials for surgical operations can be then developed using the simulation technique and verified through confirmatory tests. The use of animal and human trial for development phase of materials and methods for surgical operation can be reduced significantly. Human specific implants and surgical operations can be provided within 72 hours from the point of time knowing the required MRI-Scan and medical history. Pre- and post-surgical complications can be better understood and minimised.

We have all the ethics approvals both from Deakin University and Barwon Heath and going through the trial runs with the selected Volunteer at MRI-Lab from Geelong Hospital (Barwon Health) for MRI-data acquisition.

Current research team consists of staff from Deakin University, Barwon Health and Institute of Continuum Mechanics, Technical University Hannover, Germany.

Monday 15th October Steve McAtee External presentation  Process monitoring using 3D scanning in a manufacturing environment 


Steve McAtee graduated Mechatronic Engineering in 2000 from Curtin University WA. He worked for ADAM Technology in Perth developing photogrammetry software aimed at mining 2001 - 2006. He joined a US start-up company based in Las Vegas IC3D 2007-2009 developing mining and construction management systems. In 2009 he joined Zoomorphix to develop a 3d graphics engine for online interactive testing. In 2011 Splat Concepts was started aimed at developing and promoting a variety of software systems for various industries including mining, construction and manufacturing. 2009 - 2013 Masters degree in Engineering at Swinburne.


Automated manufacturing systems have developed significantly in the last few years, but they still remain fragile and unreliable under many conditions. The objective of this research is to develop an industry acceptable system that can identify problems that occur in a manufacturing system by comparing the manufacturing simulation with a three dimensional scan of the real environment. The types of problems that the system can identify are related to object positioning. The simulation scan comparison (SSC) algorithms compare a simulation of a manufacturing process to a 3D scan of an environment. This allows for unknown objects to be isolated from the 3D scan and determines if the required components of the simulation are present. The unknown objects are compared to an existing path of a robotic manipulator to determine if they could cause a collision. If any objects are missing from the simulation or a potential collision is detected the real system operating in parallel with the simulation can be stopped or rerouted to continue the process.

The results demonstrate that the SSC algorithms are capable of detecting several failure conditions of a manufacturing process. These conditions include detecting unknown objects that block a path and simulated objects being missing from the environment. Unknown objects can be isolated and compared to an existing path to see if they cause a collision. Known objects can be matched to the scan and shown that they exist in the scene or shown to be missing from the scene. The results demonstrate that the SSC algorithms can operate at 4Hz to detect and track unknown objects in the environment.

Monday 8th October Bruce Gunn Professional Development  Examination of a CRC proposal: What went right and what went wrong 


The CAST CRC developed a proposal for the extension of the joint research effort in 2011/12. This presentation will examine the detail required to develop a CRC proposal looking at the requirements for; program themes, project outputs, the research projects and the impact tracker. After the paperwork was completed, a select group of management and participants are interviewed by the CRC panel. The proposal put together by CAST was judged to be of high quality and of significant importance and economic impact, but the proposal was not successful. The presentation will highlight what the main concerns from the CRC panel and the direction for CRC proposals are going.

Monday 1st October Jin Wang Biomedical Time Series Analysis based on Bag-of-Words Representation 


Automatic analysis of biomedical time series such as electroencephalogram (EEG) and electrocardiographic (ECG) signals has attracted great interest in the community of biomedical engineering due to its important applications in medicine. In this work, a simple yet effective Bag-of-Words (BoW) representation that is able to capture both local and global structure similarity information is proposed for biomedical time series representation. In particular, similar to the bag-of-words model used in text document domain, the proposed method treats a time series as a text document and extracts local segments from the time series as words. The biomedical time series is then represented as a histogram of codewords, each entry of which is the count of a codeword appeared in the time series.

Furthermore, a probabilistic topic model that was originally developed for text document analysis was extended to discover latent structural similarity of the time series. The topic model which aims to discover underlying themes of a large collection of documents naturally models the generative process of words (segments) in the time series. Although the temporal information between local segments is ignored, structural similarity information is well captured attributing to the statistic nature of the topic model.

Monday 24th September Geoffrey W McCarthy External presentation  Tactical Flight Simulation with Authentic Imposed Acceleration: Psychophysiology and Training Value 


Founder of AvMedSafe, Geoffrey W McCarthy has over 30 years experience in human factors and aviation medicine with recognized expertise in the areas of aviation safety, human acceleration, impact tolerance, aircrew health and preventive medicine, air sickness desensitization, and psychophysiology. Geoff has previously held senior leadership positions as Chief Medical Officer of large healthcare delivery networks, has managed a private family medicine practice and has served in the U.S. Air Force as pilot-physician and CEO of USAF hospital systems.

Retired from the US Air Force, Colonel Geoff McCarthy was one of few Pilot-Physicians who actively flew military aircraft and simultaneously held Flight Surgeon status. After graduating from the USAF Academy, he flew fighters for several years, including a combat tour in Viet Nam. Later while in medical school, he resumed flying the F-100 and later A-10 in the Massachusetts Air National Guard and continued flying while in private medical practice. A chance to be the first F-16 Pilot-Physician brought him back to active duty. He analyzed the problem of G-Induced Loss of Consciousness and minimized fatal accidents from this previously obscure phenomenon. Later while an exchange officer with the Royal Air Force at Farnborough, UK, he verified that previous negative G-force exposure exacerbates this problem. His other interests include spatial disorientation, motion sickness, human tolerances to impact, and fear of flying. He has flown over 4000 hours in single-seat jets, and is author of several papers, plus numerous articles in the Journal of Human Performance in Extreme Environments, Flying Safety, and other periodicals. Geoff is the Associate Editor, Book Reviews, for Aviation Space and Environmental Medicine, and a peer reviewer for this journal. A Fellow of both the Aerospace Medical Association and the American Academy of Family Practice, he is also a Diplomat in Aviation Medicine, Royal College of Physicians and an elected member of the Royal Aeronautical Society, and an Assistant Professor of Community Health, Wright State University.


Unlike airline training simulators, tactical simulators are useful for skill acquisition, but actual flight is necessary for skill maturity and proficiency. Centrifuges have been used for decades to study acceleration and to train aircrew in the Anti-G Straining Maneuver (AGSM). Advances in structural design, flight dynamics modeling, and display fidelity have resulted in integrated training devices that impose both authentic tactical tasking and corresponding acceleration. However, normal pilot head motion in such simulators generates Coriolis forces that produce motion artifact and simulator sickness.

Friday 14th September Prof. Anthony Maciejewski External presentation  An overview of the research in Electrical and Computer Engineering at Colorado State University 


Anthony A. (Tony) Maciejewski received the B.S., M.S., and Ph.D. degrees in Electrical Engineering in 1982, 1984, and 1987, respectively, all from The Ohio State University. From 1988 to 2001, he was a Professor of Electrical and Computer Engineering at Purdue University. In 2001, he joined Colorado State University where he is currently the Head of the Department of Electrical and Computer Engineering. He has co-authored over 200 technical publications in the areas of robotics and high-performance computing and served on eight journal editorial boards and over 80 conference program committees. He is a Fellow of IEEE and currently serves on the Board of Governor's for the Systems, Man, and Cybernetics Society and is Vice-President Elect of Financial Activities for the Robotics and Automation Society. A complete up-to-date vita is available at


The first half of this talk will give a brief introduction to the department of electrical and computer engineering at Colorado State University and highlight some of the research activities of its faculty. The second half will focus on several research topics that are related to robotics and optimization, specifically, fault tolerant motion planning for robots, influence of robots on pedestrian dynamics, pose detection for robot vision, and resource allocation in high performance computing systems.

Monday 10th September Shady Mohamed Haptically Enabled Art Realisation (HEAR) 


The HEAR - Haptic-Enabled Art Realization research project proposes a technological platform that will allow blind and visually impaired people to physically 'feel' the visual information contained within 2D visual art. Aside from facilitating equity and access to the visual arts the ability to perceive and interact with the visual information contained within generic 2D images offers wider reaching benefits.

Monday 3rd September Marwa Hassan Aly Hassan Quantifying Heteroskedasticity 


A heteroskedastic data suffers from a noise with a time variant variance. This type of noise imposes many challenges on regression, estimation and forecasting applications. Detecting heteroskedasticity in times series relies mainly on statistical hypothesis tests to detect the change in variance of the regression residuals. However, these tests do not quantify how heteroskedastic a time series is. Quantified heteroskedasticity facilitate an early warning tool for analysts to monitor chaotic behaviour at early stages. Additionally, having a quantified measure of heteroskedasticity allows us to study the heteroskedastic noise more thoroughly rather than considering it as a fact to be accounted for.

Monday 27th August Michael Johnstone Quality Data Collection & Tracking System for Manufacturing SMEs 


A manufacturing enterprise's productivity is influenced by the quality of their products and processes. Rework, scrap, recalls and failures lower productivity and profitability. Recording and reporting on production and quality performance is a fundamental enabler to improving productivity. The Quality Tracking System (QTS) is a generic software platform, innovatively providing SMEs the ability to collect, store and view production and quality data on the shop floor. Analysis of data using QTS will provide real-time insight into the production process performance and where improvements may be made, following the principles of continuous improvement.

Monday 20th August Hamid Abdi Reliable fault tolerant workspace of robotic manipulators 


There are many applications for which reliable and safe robots are desired. For example, assistant robots for disabled or elderly people and surgical robots are required to be safe and reliable to prevent human injury and task failure. However, different levels of safety and reliability are required for different tasks so that understanding the reliability of robots is paramount. Currently, it is possible to guarantee the completion of a task when the robot is fault-tolerant and the task remains in the fault-tolerant workspace. The traditional definition of fault-tolerant workspace does not consider different reliabilities for the robotic manipulator's different joints. The aim of this presentation is to extend the concept of a fault-tolerant workspace to address the reliability of different joints. Such an extension can offer a wider fault-tolerant workspace while maintaining the required level of reliability. This is achieved by associating a probability with every part of the workspace to extend the fault-tolerant workspace. As a result, reliable fault-tolerant workspaces are introduced by using the novel concept of conditional reliability maps. Such a reliable fault-tolerant workspace can be used to improve the performance of assistant robots while providing the confidence that the robot remains reliable for completion of its assigned tasks.
Monday 13th August Garry Stewart External presentation  Dance and robotics: an example of artistic machine/body integration 


Garry Stewart , who is currently Thinker in Residence at the Deakin Motion.Lab, has built an outstanding international reputation for creating distinctive dance vocabulary and high-risk collaborative works that explore the transformative potential of technology. His work tours extensively throughout the world. He has been commissioned by Theatre de la Ville (Paris), The Joyce Theatre (New York), the Southbank Centre (London), Rambert Dance Company, Bare Bones Dance Company, the Royal New Zealand Ballet, Birmingham Royal Ballet,Ballet de l'Opera National du Rhin, Royal Flanders Ballet, Ballet du Rhin, and the Australian Ballet. Garry Stewart's expertise in dance technology is one of the most extensive of any major international choreographer, with collaborations that include Canadian robotics artist Louis-Philippe Demers, New York dance photographer Lois Greenfield, New York architectural firm Diller Scofidio + Renfro (DS+R), and CM Films. His 2012/13 projects include a commission by the Australian Ballet involving 3D architectural design and a 3D dance film for IMAX.

In 2001, he was awarded a Centenary Medal from the Australian Government for his service toAustralian society and dance. He has been awarded the biennial Sir Robert Helpmann Fellowship from the NSW Ministry for the Arts, an Australia Council Fellowship to research dance and new media technologies, and two fellowships from the Australian Choreographic Centre, and has led ADT to a total of 21 awards since 2002. Routledge Publishing included Garry's biography in the revised edition of Fifty Contemporary Choreographers which provides a unique guide to today's most important dance-makers.


Garry Stewart is one of the few contemporary dance artists to have made a major work incorporating robots. Garry will discuss the process of making Devolution with Canadian robotics artists Louis-Phillippe Demers. Devolution used large and small scale robots, and robotic prosthetics worn by dancers, to create a unique performance exploring the relationship between machine and body. The work won the Helpmann Awards Best New Australian Work and Best Lighting in 2006.

Monday 6th August A/Prof. Chee Peng Lim Soft Computing Models and Their Applications 


In this talk, the background of data processing and analysis methods and the impacts of data analysis will first be presented. Then, a number of soft computing models that are useful for intelligent data analysis, which include artificial neural networks, fuzzy systems, evolutionary algorithms, and their hybrid models, will be introduced. The applicability of soft computing models to undertaking complex problems in different domains will be demonstrated. These include case studies in medical prognosis and diagnosis, fault detection and condition monitoring, optimisation of production planning and scheduling, as well as image segmentation and fusion.

Monday 30th July Vu Le Airport Security Checkpoint - Quantifying the Impact of Shoe Scan Technology 


A number of terrorist attempts such as the shoe bomb incident of 25 December 2009 have shown that airport security checkpoints remain vulnerable, raising the level of concern amongst air travelers. These incidents have initiated a major movement in security screening equipment enhancement across airports worldwide. The shortcoming with these enhanced technological equipment and accompanying operational procedures is that it can reduce the overall system performance. The challenging task is to find operating criterion that minimises the impact to the overall performance level.

This research investigates the operational impact of introducing shoe scan technology at security checkpoints (SCP). The problem has been modelled using discrete event simulation, where each individual element's process is stochastically modelled. The paper examines the level of impact on three different shoe scan configurations inside the SCP.

It was found that using the embedded primary scan configuration would provide a feasible solution and have minimal impact to the checkpoint operation. Under this configuration the throughput is reduced by approximately 1/6 passenger for every change in alarm rate subjected under a 100% population scans. 90% percent of passenger still move through the system within five minutes. This configuration utilises existing walk through metal detector operators for the shoe scanning operation, thus minimising the overall operating cost.

Monday 23rd July John McCormick Using unsupervised neural networks as associative memory to respond to human movement gestures 


Unsupervised neural networks are a useful means of finding associations and patterns in datasets even in the absence of a known problem. This seminar will briefly discuss the use of unsupervised networks for learning features of dance movement with a view to developing capability for an artificial performing agent to perform with a live dancer. Steph Hutchison, a dancer who has recently completed her MA thesis at Deakin, will be performing in a short trial.

Monday 9th July

GTP Conference Room
Simon Choppin External presentation  Potential applications of depth cameras in Sport, Biomechanics and human motion analysis 


Dr. Simon Choppin is a sports engineering researcher with The Centre for Sports Engineering Research (CSER) at Sheffield Hallam University, an internationally renowned centre of excellence for research and consultancy with over 110 years of cumulative experience. The centre focuses on developing fundamental understanding of the complex sporting environment and the creation of new innovative technologies. Dr. Choppin specialises in impact dynamics, high speed video and data modelling. His PhD at Sheffield University investigated tennis racket dynamics and involved working with the International Tennis Federation. In 2006 he developed a novel 3D method of racket and ball tracking, which was used at a Wimbledon qualifying tournament. His resulting paper won an award at the 2007 'Tennis Science and Technology' conference.


Simon currently works with colleagues Drs Jon Wheat and Ben Heller at looking at the potential of consumer level depth cameras (such as the Microsoft Kinect) in sport, biomechanics and human motion analysis. The Kinect's benefits of low cost and high functionality have seen it be adopted in a number of research areas. His presentation will focus on their work so far and their chosen applications in body scanning, human tracking and segment tracking. Three specific accuracy studies have been conducted to assess the Kinect's viability in these chosen domains. Initial results have been positive and the group continue to work to create specific applications which take advantage of the numerous benefits of a cheap depth camera system.

Monday 2nd July

Ahmad Hossny Minimising Impact of Bounded Uncertainty on Scheduling Algorithms 


Uncertainty of data is a challenging issue in sequencing and scheduling as it increases costs and risks, such issue is usually handled either by preventive or reactive techniques depending on the problem nature. Bounded uncertainty provides only the upper and lower bounds around each value without any information in between like probability density function or fuzzy membership function which make such techniques not useful. This research minimizes the impact of bounded uncertainty by finding sequence of tasks better optimising the cost function. It uses interval computation rather numerical computation introducing the concept that applying interval calculations then approximate the end result will give less uncertain results than approximating the values before doing the calculations.

Monday 25th June Prof. Alexander Plakhov External presentation  Mathematical retroreflectors 


PhD (1986) and Dr.Sci. (2011) from the Moscow State University (Russia).

1984-1996: Researcher at the Institute of Physics and Technology, Moscow
1996-1997: Associate Professor, Moscow State Technical University
1998-1999: Invited Professor, Universidade Estadual do Norte Fluminense, Campos-RJ, Brazil
1999-2007: Associate Professor, University of Aveiro, Portugal
2007-2009: Research Lecturer, University of Aberystwyth, UK
2009-present: Auxiliary Professor, University of Aveiro, Portugal
2011-present: Senior Researcher, Institute for Information Transmission Problems, Russia

More than 50 articles in peer-reviewed journals

Research interests: Dynamical systems, billiards, optimal mass transportation, Newtonian aerodynamics


A retroreflector is an optical device reversing the direction of all (or a large part of) incident beams of light. Retroreflectors are widely used in real life, for example, in road safety. The most popular retroreflector with specular surface is the so-called cube corner. It is not perfect, however, since it sends a significant part of incident beams of light in a wrong direction. In the talk we present a collection of 'nearly perfect' retroreflectors based on light reflection and discuss their properties.

Monday 18th June Samer Hanoun Multicriteria Scheduling - A lexicographical Approach 


This talk presents a scheduling problem with two criteria, where the primary (dominant) criterion is the minimisation of material waste and the secondary criterion is the minimisation of the total tardiness time. The decision maker does not authorise trade-offs between the criteria. In view of the nature of this problem, a hierarchical (lexicographical) optimisation approach is followed. An effective greedy heuristic is proposed to minimise the material waste and a simulated annealing (SA) algorithm is developed to minimise the total tardiness time, subjective to the constraint computed for the primary criterion. The solution accuracy is compared with the optimal solution obtained by complete enumeration of randomly generated problem sets. From the results, it is observed that the greedy heuristic produces the optimal solution and the SA solution does not differ significantly from the optimal solution.
Monday 11th June Mojdeh Nasir Fuzzy Prediction of Pedestrian Steering Behaviour with Local Environmental Effects 


This research focuses on prediction of pedestrian walking paths in indoor public environments during normal and non-panic situations. The aim is to incorporate uncertain and non-precise aspects of pedestrian interaction with the environment to enhance steering behaviour modelling. The proposed model introduces a fuzzy logic framework to predict the impact of environmental stimuli within a pedestrian's field of view on movement direction. The environment is treated as a set of discrete attractions and repulsions. Attractive and repulsive effects of the surrounding environment, which drive the pedestrian to select next step position, are quantified by social force method. A high flow corridor in an office is considered for the case study. Stochastic simulation is used to generate walking trajectories and calculate a dynamic contour map of environmental stimuli in each step. To verify the simulation results and gain a better insight into the problem, a dataset defining walking trajectories of 25 participants passing through that hallway was collected using motion tracking sys-tem. Results demonstrate a strong correlation between real data and simulated results.
Monday 4th June Abbas Khosravi Optimizing The Quality of Bootstrap-based Prediction Intervals 


The bootstrap method is one of the most widely used methods in literature for construction of confidence and prediction intervals. A new method is proposed for improving the quality of bootstrap-based prediction intervals generated for neural network point forecasts. The core of the proposed method is a prediction interval-based cost function, which is used for training neural networks. A simulated annealing method is applied for minimization of the cost function and adjustment of neural network parameters. The developed neural networks are then used for estimation of the target variance. Through experiments and simulations it is shown that the proposed method can be used to construct better quality bootstrap-based prediction intervals. The optimized prediction intervals have narrower widths with a greater coverage probability compared to traditional bootstrap-based prediction intervals.

Monday 28th May Mohammed Hossny Measuring the Capacity of Image Fusion 


Multisource image fusion is usually achieved by repeatedly fusing source images in pairs. However, there is no guarantee on the delivered quality considering the amount of information to be squeezed into the same spatial dimension. This paper presents a fusion capacity measure and examines the limits at which fusing more images will not add further information. The fusion capacity index employs Mutual Information (MI) to measure how far the histogram of the examined image is from a uniformly distributed histogram of a saturated image.

Monday 21st May Husaini Aza Mohd Adam Haptic Visualisation and Rendering of 2D images 


This research project investigates the ability for human participants to feel the visual information contained within 2D visual art. Haptic interaction is utilised as the basis for the development of mapping algorithms allowing participants to feel the visual information contained within 2D images. The human user will grasp a haptic interface with one or both hands and then 'feel' forces and vibrations representing colour, intensity and other visual elements of 2D images. The ability of visually impaired and able sighted users to perceive the visual information using the mapping algorithms and haptic interfacing will be evaluated.
Monday 14th May A/Prof. Hamidreza Saligheh Rad External presentation  Quantifying Proton Density in Cortical Bone In-Vivo: Technical Design and Clinical Study 


Hamidreza Saligheh Rad, PhD from Queen's University, ECE (communications; 2001-2005); visiting research scholar at Harvard Medical School (cardiac MRI; 2006-08); research faculty at UPenn Medical Center (pulse sequence and RF pulse design in MRI; 2008-2011); assistant professor at Tehran University of Medical Sciences (MR physics and signal processing, quantitative MRI/MRS; 2011-present).


Bone contains a significant fraction of water that is not detectable with ordinary Cartesian magnetic resonance imaging (MRI) sequences. The advent of ultra-short echo-time (UTE) methods allows recovery of this sub-millisecond T2* water. In this work, we have developed a new 3D hybrid-radial ultra-short echo time (3D HRUTE) imaging technique based on slab-selection by means of half-sinc pulses, variable-TE slice-encoding, and algorithms for quantification. The protocol consists of collecting two datasets differing in TR, from which T1 is extracted, which is needed for quantification. No soft-tissue suppression was used to preserve SNR of the short-T2 bone water (BW) protons. Critical for quantification is correction for spatial variations in reception field and selection of the endosteal boundary for inclusion of pixels in the BW calculation. Reproducibility, evaluated in 10 subjects, covering the age range from 30 to 80 years, yielded an average coefficient of variation of 4.2% and intra-class correlation coefficient of 0.95. Lastly, experiments in specimens by means of graded deuterium exchange showed that approximately 90% of the detected signal arises from water protons, whose relaxation rates (1/T1 and 1/T2*) scale linearly with the isotopic volume fraction of light water after stepwise exchange with heavy water.

Monday 7th May Lei Wei Recent advances of integrating haptics and Kinect into DI-Guy 


Much of the state-of-the-art commercial simulation software focuses on providing realistic animations and convincing artificial intelligence to avatars within a scenario. Research on enhancing the interactivity and immersion of such simulation is not generally as highly refined. Based on the research of our user-study, we identify that it is desirable for simulation software to have improved interaction between users and the scenario. The more intuitive interactions that the system has, the better the immersive experience will be. Based on this idea, we propose a pipeline to effectively integrate haptics as well as Kinect into the DI-Guy simulation environment, with the goal of improving user interactivity with the avatars in the scenario. By implementing such a pipeline, simulation packages will be capable of not only enhancing control over certain actions of avatars, but also providing realistic force feedback to the user.

Monday 30th April Vera Roshchina External presentation  Invisibility in geometrical optics and open problems in Newtonian aerodynamics 


2000-2005: Undergraduate degree in Mathematics and System Programming from Saint-Petersburg State University (Russia)

2005-2009: Ph.D. in Applied Mathematics from the City University of Hong Kong

2009-2012: Invited Researcher (on Ciencia 2008 grant by the Foundation for Science and Technology of Portugal) at the Research Centre in Mathematics and Applications, University of Evora, Portugal

Since April 2012: CRN Research Fellow at the University of Ballarat

Research interests: Dynamical systems, Nonsmooth Optimization, Real Complexity


We show that it is possible to construct solid piecewise smooth bodies invisible in one and two directions (in the sense of billiards/geometrical optics) and demonstrate a fractal body invisible in three directions. Several open problems in Newtonian Aerodynamics (related to minimal/maximal resistance of bodies in rarefied media) will be presented as well.

Monday 23rd April Asim Bhatti Unified spike sorting framework using multi scale-space principle component analysis 


In vitro multichannel recordings from neurons have been used as important evidence in neuroscientific studies to understand the fundamentals of neural network mechanisms in the brain. Consequently, accurate detection and sorting of neural activity waveforms becomes a key requirement for creating meaningful machine brain interfaces and to understand the working principles of neural networks. Number of spikes detection and sorting algorithms are proposed based on the variance maximisation of the sum of distances between the waveform clusters. Wavelet coefficients are also employed to exploit the time-frequency localisation and scale-space representation of the waveforms [1, 2] however in a very simple way.

To exploit the maximum potential of wavelet transform and available statistical technique, we propose a unified framework for unsupervised neural spike clustering. Proposed framework exploits the features of wavelets scale-space representation and time-frequency localisation through the use of wavelet transform modulus maxima (WTMM). WTMM are translation invariant high profile multiscale wavelet coefficients that remain unaltered by the shifted versions of the same action potential spike. Multiscale principle component analysis minimises the dimensionality of the raw data at different scales prior to clustering. Principle component analysis provides variance-distribution of the waveforms at different scales and spaces, generated by wavelets transform, and help in estimating the optimised number of clusters.

Monday 16th April Prof. Ray Ogden External presentation  Biomechanics and magneto-sensitive elastomers 


University Education
Cambridge University, graduated in Mathematics (1966), PhD in Solid Mechanics (1970)

Science Research Council Research Fellow, University of East Anglia (1970-72)
Lecturer/Reader in Mathematics, University of Bath (1972-80)
Professor of Mathematics, Brunel University (1981-84)
George Sinclair Professor of Mathematics, University of Glasgow (1984-2010)
Head of Mathematics Department, University of Glasgow (1986-94)
6th Century Chair in Solid Mechanics, University of Aberdeen (2010-2012)
George Sinclair Professor of Mathematics, University of Glasgow (2012-)

Awards and Distinctions
Elected Fellow of the Royal Society of Edinburgh (1987)
Warner T. Koiter Medal of the American Society of Mechanical Engineers (2005)
Elected Fellow of the Royal Society of London (2006)
William Prager Medal, Society of Engineering Science (2010)

Executive Editor, IMA Journal of Applied Mathematics (1988-98)
Solid Mechanics Editor, International Journal of Non-Linear Mechanics (2005-)
Currently Editorial Board Member of 10 other international journals

Research Interests
Nonlinear elasticity theory and its applications. Mechanics of rubberlike materials, soft
biological tissues, fibre-reinforced materials. Nonlinear magnetoelasticity and
electroelasticity. Residual stress effects in acoustoelasticity.

More than 200 papers in international journals, and several books, including the ‘Non-linear
Elastic Deformations’ (1984, re-issued in 1997 by Dover).

Visiting Appointments
Visiting Professor appointments for various periods in Austria, Australia, Canada, France,
Greece, Ireland, Italy, Poland, South Africa, Spain, Sweden, USA.



Professor Ray Ogden

Monday 16th April Prof. David Y Gao External presentation  Canonical duality and Triality: Unified understanding complex systems and challenging problems 


Professor Gao received his B.A. in Manufacturing/Material Science, M.A. in Aerospace Engineering. His PhD was obtained from Tsinghua University in Engineering Mechanics and Applied Math. Since then, he has held research and teaching positions in different institutes including MIT (Math), Yale (Engineering), Harvard (Math), the University of Michigan, and Virginia Tech. Currently, he is the Alexander Rubinov Chair Professor at the University of Ballarat, Australia.

Professor Gao's research interests range over nonconvex/nonsmooth analysis and mechanics, operations research, scientific computation, modeling, simulation, optimization and control of complex systems. He has published one research monograph (454 pp), one handbook, seven books, and about 130 scientific and philosophic papers. His main research contributions include a canonical duality-triality theory, several mathematical models in engineering mechanics and material science, a series of complete solutions to a class of nonconvex/nonsmooth problems in nonlinear analysis and mechanics, and some deterministic methods/algorithms for solving certain NP-hard problems in global optimization and computational science. The main part of the canonical duality theory, i.e., the complementary-dual variational principle he proposed in 1997 is playing an important role in large deformation solid mechanics.

Professor Gao is an editor-in-chief for Springer Encyclopedia of Duality, Springer book series of Advances in Mechanics and Mathematics, and Taylor & Francis book series of Optimization and Control of Complex Systems. He serves as an associate editor for several journals of applied math, optimization, solid mechanics, dynamical systems, and industrial and management engineering. Currently he is the Secretary-General and Vice President of International Society of Global Optimization


Complex systems theory is a multidisciplinary scientific field which studies the common properties of systems that are considered fundamentally complex. The fundamental difficulty in complex systems theory is mainly due to nonsmooth and nonconvexity. In static systems, the nonconvexity usually leads to multi-solutions in the related governing equations. Each of these solutions represents certain possible state of the system. How to identify the global and local stability and extremality of these critical solutions is a challenge task. It turns out that many nonconvex problems in global optimization and computational science are considered to be NP-hard. In nonlinear dynamics, the so-called chaotic behavior is due to nonconvexity of the objective functions. In complex systems, even some qualitative questions such as regularity and stability are considered as the outstanding open problems.

In this talk, the speaker will first present some fundamental principles for modeling complex systems. Based on the definitions of objectivity and isotropy in continuum physics, a potentially powerful canonical duality theory is naturally developed. Based on the traditional oriental philosophy and some basic rules in systems theory, he will show a unified framework in complex systems and a fundamental reason that leads to challenging problems in different fields, including chaotic dynamics, NP-hard problems in global optimization, and the paradox of Buridan's donkey in decision sciences. By using the canonical duality theory, a unified analytical solution form can be obtained for a large class of problems in nonconvex systems and global optimization, both global and local optimality conditions can be identified by a triality theory. For many nonconvex variational problems, the global optimal solutions are usually nonsmooth, and cannot be captured by any traditional Newton-type direct approaches. Applications will be illustrated by certain well-known challenging problems in analysis (such as phase transitions and control of chaotic systems) and NP-hard problems in global optimization and computational science (such as integer programming, network optimization, and TSP etc). Finally, some open problems and very recent solutions regarding the triality and unified theory will be addressed.

The speaker hopes this talk will bring some new insights into complex systems theory and decision science.


Professor David Y Gao

Monday 2nd April Zhenying Guan 3-D Locomotion Biomimetic Robot Fish with Haptic Feedback 


Underwater exploration is becoming the focus of many scientific research projects. The superior swimming ability of fish, and the great tactile ability of human beings, gave scientists the idea of developing haptic robot fish systems. These would help expand human competence to discover the mystery of the underwater world. The primary goal of this thesis is to develop a biomimetic robot fish and to build a novel haptic robot fish system based on the kinematic modeling and CFD hydrodynamic analysis of the robot fish. Four contributions of the thesis are:
  • The functional biomimetic robot fish based on the prototype of a carangiform fish was developed
  • The kinematic modeling of the robot fish by using Mathematics® software was built
  • The three-dimensional (3D) computational fluid dynamic simulation of the biomimetic robot fish has been proceeded by Fluent® 6.3.26, where User-Defined Function (UDF) was used to define the movement of the robot fish and Dynamic Mesh was used to mimic the fish swimming in water
  • A novel haptic robot fish system was established using the data of CFD hydrodynamic analysis and the kinematic modeling of force feedback
Monday 26th March Fuleah Abdul Razzaq Rapid MRI using Compressive Sensing 


Medical imagery is crucial for diagnosis and treatment. Many imaging techniques are currently being implemented in hospitals. Magnetic Resonance Imaging (MRI) is used to capture images of internal systems of the human body. It has an edge over other techniques; it differentiates clearly between all kinds of tissues, which make it extremely useful for brain and cancer. However, process is time-consuming and can take several minutes to acquire one image. The primary focus of this research is to reduce the time taken during MR imaging process using the compressing sensing theory. This theory is based on the idea that in every image the actual amount of information is far lesser than what we traditionally measure. So, most of it can be discarded with negligible compromise on image quality. This research will explore how the compressive sensing can be utilized effectively in Rapid MRI imaging.

Monday 19th March May Thandar Modelling and Analysis of future distributed automotive manufacturing systems 


Australian designed lightweight modular vehicle (AutoCRC) project will utilize distributed automotive manufacturing processes by different supply chain members. Diverse and distributed supply chains introduce risks to performance of assembly lines and optimal assembly line designs (ALD). Even material requirement planning (MRP) and enterprise resource planning (ERP) systems with their incompleteness of data become an additional source of risk. Modern manufacturing practices such as implementing Just-In-Time (JIT) principles fail to manage risks which can lead to supply chain disruptions. Robust and flexible ALDs, resilient from risks attributed to variations in supply, demand, process and parts, will be needed for AutoCRC.

This research will investigate better decision making technique for automotive supply chain risk management under imprecise data and variability using model-based decision support methodologies. Therefore, this research aims to construct models to make better or equivalent predictions with inadequate supply chain information, using nonparametric, multivariate probability density estimations by kernel method and discrete event simulation. Finally, the model will analyse efficiency, profitability, sensitivity to materials availability and manage risk of the overall system to reduce supply chain vulnerability.

Monday 12th March Daniel Lowe Augmented Reality Training Environment for Microrobotic Cell Injection 


Microrobotic cell injection is an area of growing research interest. Operators typically rely on limited visual feedback to perceive the microscale environment, and despite lengthy training times procedure success rates often remain low. Our work aims to enhance operator performance by developing a simulated training environment that provides users with improved visual and haptic feedback. It is suggested that operators can use this environment to engage in cost-effective, offline training and later transfer their skills to a physical system. This presentation explores our progress towards creating an augmented reality environment to facilitate offline operator training.

Monday 5th March Ben Horan Robotics as a Tool to Teach Electronics in a Common First Year Engineering Course 


Undertaking a broad range of fundamental introductory courses is often an essential part of Undergraduate Engineering education. These courses are also often part of a first year common to students of different Engineering disciplines. This research investigates the use of robotics as a tool to augment the practical component of a first year introductory Electronics course. The robots were utilised to provide physical demonstration of the purpose of simple electronic circuits. The approach was implemented to a class comprising students from a diverse range of disciplines. The approach aimed to simultaneously increase student engagement and to improve the learning experience for students studying Electronics-related disciplines as well as those majoring in Mechanical and Civil Engineering. An evaluation study was performed to determine the effectiveness of the approach. A two part data collection instrument was implemented to gain data from students. One part of the data collection instrument asked students quantitative and qualitative questions, and their self-perceptions demonstrated that the robot practicals had a highly positive effect on students' interest and learning. It is suggested that is partly due to most students' excitement with the notion of robotics. The other part of the data collection instrument used the Felder-Silverman model to determine preferred learning styles and possible relations between characteristics of the robot practicals and positive effects on students' interest and learning.

Monday 27th February Luke Nyhof EEG & BCI Systems 


The performance of electroencephalograph (EEG)-based brain-computer interface (BCI) systems is susceptible to external influences, typically due to movement of the subject. Static flight simulators are the norm for this type of measurement in reduced risk flight training; however modern day simulators require a new level of realism. Next-generation flight simulators, such as the Deakin University Haptically Enabled Universal Motion Simulator, expose the pilot to external 'G' forces by physical moving the entire cockpit and pilot, motions which increase the likelihood of unwanted EEG artefacts. The filtering techniques are based on a custom designed approach to overcome the dynamic nature of the flight simulator; the techniques are based on Extended Kalman Filters to accommodate for the non-linearity of the EEG acquired signals.

Monday 20th February Michael Fielding The OzBot finds it's haptics 


Mick will be talking about some of the work CISR has undertaken in the area of haptics and robotics within the Defence sector, with a particular focus on the OzTouch system. This talk is the second in a two part series on what happens behind the black doors downstairs in the 'Defence Lab', following on from James Mullins' presentation titled "The OzBot mobile platform - 7 years of development".

Monday 13th February James Mullins The OzBot mobile platform - 7 years of development 


James will be talking about the advances and challenges involved with the design, development and marketing of the CISR OzBot platform. He will talk about the development process, the technologies involved, timeframes and future opportunities. The OzBot series of police and military robots have been developed by a team of CISR engineers specifically for Australian conditions and needs. This talk is the first in a two part series on what happens behind the black doors downstairs in the 'Defence Lab'.

Monday 6th February Nong Gu Blind Signal Processing: Methods and Application 


Blind signal processing (BSP) is an emerging area of research in signal processing with many potential applications. The basic of objective of the BSP is to recover a set of source signals from a set of observations that are mixtures of the sources with no, or very limited knowledge about the mixture structure and source signals. Depending on the model to be studied, the BSP problem could be classified into two groups, which are blind source separation and blind equalization respectively. Some recent progresses in the research of BSP will be covered in this talk.


Deakin University acknowledges the traditional land owners of present campus sites.

27th February 2015