College of Science and Engineering Honours Projects - Available to commence February and/or July 2020
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College of Science and Engineering Honours Projects Available to commence February and/or July 2020
Preface
The projects listed in this booklet are available at the time of publishing. We will endeavour to update
the list as new projects become available or as places are filled. This list is intended to be an initial guide
to assist students to choose areas of preference. The final details of a project proposal must be
established by consultation with your potential supervisor. If you are interested in any of these projects
you need to contact the supervisor directly to discuss both the project details and your suitability to
undertake the project.
Staff members will, in addition, be happy to talk about any alternative project ideas you may have
considered, however there is no guarantee that they will have the capacity to take you on.
Application process
Applications for semester 1, 2020 opened on Monday 23 September 2019 and close on Monday 2
December 2019 (late applications up until 17 January 2020 will be accepted however equal
consideration of preferred supervisor/project will not be guaranteed).
Before applying you will need to have spoken with potential supervisors about the projects that they
have available.
If you are an internal, external or international student applying for a 1 year Honours Program you can
apply online. Please enter the correct 1 year study code HBSC or HBIT or HBDTI or HBAGIS or HBEM to
select the correct 1 year course.
If you are enrolled in a 4 year program and are applying to progress through to your Honours year,
please complete the internal honours application form.
If you require any further information regarding studying Honours, please contact the relevant College
Honours coordinator listed below.
Discipline Coordinator Email
Computer Science Brett Wilkinson brett.wilkinson@flinders.edu.au
Biotechnology Peter Anderson peter.anderson@flinders.edu.au
Mathematics Iwan Jensen iwan.jensen@flinders.edu.au
Natural Sciences Jean-Marc Hero jeanmarc.hero@flinders.edu.au
Physics & Molecular Sciences Mike Perkins mike.perkins@flinders.edu.au
1Projects listed by teaching program
Design, IT, Mathematics and Science Communication
Medical image segmentation ....................................................................................................................... 7
Classification of breast cancer histology images using Deep Learning techniques ...................................... 7
Medical image segmentation using CNN ...................................................................................................... 8
Importance of modules in hierarchical games/warfare ............................................................................... 8
Analytical and computational studies of lattice walk generating functions ................................................. 9
Computer simulations of non-equilibrium models in statistical physics ...................................................... 9
BCI for outreach .......................................................................................................................................... 10
Brain Connectivity in Auditory-Visual Speech............................................................................................. 10
Disease Diagnosis from EEG using Machine Learning ................................................................................ 11
LED Brain Project......................................................................................................................................... 11
AI:AudioVisual Speech/Face Emotion/Expression Recognition/Generation .............................................. 12
AI:Applications of Machine Learning and Neural Networks in Forensics ................................................... 12
AI:Embodied Conversational Agents for Health Interventions and Training.............................................. 13
AI:Improved chance-correct Machine Learning and Boosting algorithms ................................................. 13
AI:Multimedia Robot World ........................................................................................................................ 14
AI:Speech driven applications ..................................................................................................................... 14
Improved high efficiency programming language for multimodal AI, IoT and Robotics ............................ 15
Decision support for hospital patient flow optimisation ............................................................................ 15
Patient flow data clustering and modular hospital design ......................................................................... 16
Augmented reality decision support system and training application for blood transfusion services ...... 16
Augmented reality music studio ................................................................................................................. 17
Brain-computer interfaces and video games .............................................................................................. 17
Interacting with games in a serious and meaningful way .......................................................................... 18
Virtual environments and the user ............................................................................................................. 18
Digital footprints of university students ..................................................................................................... 19
Sentiment (Behaviour) Analysis: Student Mental Wellness ....................................................................... 19
The effect of data quality on patient match rates ...................................................................................... 20
Natural Sciences (including Biology and Environment)
Advancing hydro(geo)logical process understanding and modelling for impact assessment.................... 21
Conservation management and genetic rescue of Yarra pygmy perch ...................................................... 21
Restoration genomics and the adaptive potential of small populations .................................................... 22
2Farming systems, invertebrate biodiversity and ecosystem services......................................................... 22
Ticks and lizards (various projects) ............................................................................................................. 23
Effects of stormwater harvesting on street trees' amelioration of summer microclimate in Adelaide..... 24
Understanding abalone health through gill histopathology ....................................................................... 24
Determining groundwater discharge at Sellick's Beach.............................................................................. 25
Impacts of the Carmichael coal mine on groundwater dependent ecosystems ........................................ 25
"Kitchen oceanography": scientific experiments for the classroom .......................................................... 26
A study of atmospheric cyclones in the South East Tropical Indian Ocean (SETIO) ................................... 26
Upwelling of particulate matter in deep submarine canyons .................................................................... 27
Forensic DNA typing: transfer and persistence studies .............................................................................. 27
Detection of latent DNA.............................................................................................................................. 28
Ancestry informative SNPs.......................................................................................................................... 28
Studies of past sea level variations in Fraser Island (QLD) using foraminifera ........................................... 29
Beach and nearshore dynamics .................................................................................................................. 29
Tattoo and body piercing: knowledge of practitioners in Australia and the UK ........................................ 30
Assessing cockroaches' capacity to spread gastrointestinal worms........................................................... 30
Components of vaping liquid ...................................................................................................................... 31
Food safety and 5 star rating schemes ....................................................................................................... 31
Lead in soil in metro Adelaide..................................................................................................................... 32
Methamphetamine residue in cars............................................................................................................. 32
Bioremediation of methamphetamine contaminated surfaces using microbes ........................................ 33
Remediation of methamphetamine contaminated surfaces using UV and ozone..................................... 33
Identifying novel metal storage proteins in rice to assist in improving seed nutrition .............................. 34
Origins of remnant populations of Acanthocladium dockeri in SA............................................................. 34
Physiological determinants of broom (Cytisus scoparius (L.) Link) abundance in the Adelaide Hills ......... 35
The effects of environment on harvester ant preferences for Kangaroo grass ......................................... 35
The mechanisms associated with micronutrient retranslocation of zinc and iron to developing
cereal seeds .............................................................................................................................................. 36
The role of the plant phloem in salt detoxification .................................................................................... 36
Investigation of coastal groundwater: Seawater-freshwater interactions in complex settings................. 37
Disinfection resistance of mycobacterium avium complex and its control in swimming pools ................. 37
Hospital tap water as a source of antimicrobial resistant hospital acquired infections............................. 38
Microbial pathogens present in reuse water aerosols ............................................................................... 38
Risk management of misting systems for opportunistic pathogens in biofilm .......................................... 39
3Physical and Molecular Sciences (including Biotechnology)
Aquaporins as anemone toxins................................................................................................................... 40
Enzymes in Fish Gut Health......................................................................................................................... 40
Measuring volatile organic compounds to monitor fish tissue quality ...................................................... 41
Novel Breath tests for Environmental Enteric Dysfunction detection ....................................................... 41
Transgenic rice with higher Fe and Zn levels ............................................................................................. 42
Function of plant innate immune receptors ............................................................................................... 42
Biological membranes................................................................................................................................. 43
Determining sea spray compositions .......................................................................................................... 43
Dye sensitized solar cells............................................................................................................................. 44
Nano clusters for fabrication of solar fuels................................................................................................. 44
New marine anti-biofouling surfaces.......................................................................................................... 45
Eco-friendly preparation of organic solar cells ........................................................................................... 45
Nanoparticles for polymer solar cells ......................................................................................................... 46
Printing polymer solar cells......................................................................................................................... 46
Synthesis of electron acceptor polymers for all-polymer solar cells .......................................................... 47
Synthesis of water/alcohol soluble polymers for solar cells....................................................................... 47
Condensed matter/many-body physics ...................................................................................................... 48
Lattice Gases ............................................................................................................................................... 48
Theoretical nuclear and elementary particle physics ................................................................................. 49
Antiseptic and disinfectant resistance in the hospital superbug Staphylococcus aureus .......................... 49
Multidrug resistance in the sexually-transmitted human pathogen Neisseria gonorrhoeae .................... 50
Survival of the fittest; Acinetobacter persistence strategies ...................................................................... 50
Tools for chemical biology and drug delivery ............................................................................................. 51
Synthesis and applications of sustainable polymers .................................................................................. 51
Mitochondria, growth, Reactive Oxygen Species (ROS) and environmental stress in legumes ................. 52
The effects of antimicrobial fatty acids on bacterial physiology ................................................................ 52
The role of zinc during infection ................................................................................................................. 53
Investigating indirect methods to calibrate the spring constant of atomic force microscope
cantilevers ................................................................................................................................................ 53
Measuring the diameter of carbon nanotubes using atomic force microscopy ........................................ 54
Utilising the thermal noise of microcantilevers to calibrate the atomic force microscope ....................... 54
A bugs life: Eating Steel and Making Rotten Egg Gas ................................................................................. 55
Fe 2p Multiplet Structure of Iron Sulfides .................................................................................................. 55
Spatial arrangement of nitrifiers in biofilm using FISH and annular reactors ............................................ 56
The Nanoreactor ......................................................................................................................................... 56
4Investigating clandestine synthesis of illegal drugs .................................................................................... 57
Forensic Chemistry...................................................................................................................................... 57
Forensic Chemistry/Biology ........................................................................................................................ 58
Are you drinking that? Microplastics in Water ........................................................................................... 58
Model membrane systems ......................................................................................................................... 59
Quantification and identification of microplastics in wastewater streams ................................................ 59
Surface Characterisation of X-ray emitters ................................................................................................. 60
Aquatic curtain coatings to reduce biofilm growth .................................................................................... 60
Effect of natural extracts in the destabilisation of biofilms ........................................................................ 61
Microbial ecology of ozone/GAC for optimising biological filtration ......................................................... 61
Surface Specific Biofilm Growth.................................................................................................................. 62
Chemical characterisation of the shrew attracting excretion from Nepenthes lowii ................................ 62
Synthesis of Novel Heterocyclic Compounds (Project 1 & Project 2) ......................................................... 63
Characterisation of Indigenous Australian pigments and analysis of cultural heritage ............................. 63
Nuclear forensics of uranium materials ...................................................................................................... 64
Quantitative analysis of environmental radiation ...................................................................................... 64
Analysing malignant plastics in museum collections .................................................................................. 65
Development of a surface carbon hybridisation imaging analysis platform .............................................. 65
Optimising the structure, morphology and electron transport properties of carbon nanomaterial
based coatings for thermoelectric applications ....................................................................................... 66
Understanding the links between deposition and solidification mechanisms and overall materials
properties in 3D printed metals ............................................................................................................... 66
Development of next generation vehicle dynamics control systems ......................................................... 67
Accelerating enzymatic reactions under flow for the pharmaceutical industry ........................................ 67
Continuous flow chemistry under external electric and magnetic fields ................................................... 68
Redefining organic synthesis under continuous flow ................................................................................. 68
Thin film microfluidics - fundamental and applications ............................................................................. 69
Molecular approaches to Sustainable Food production and quality .......................................................... 69
Effects of phages on the wound microbial communities ........................................................................... 70
Biomarker evaluation and quantification in urine and sweat for chronic diseases monitoring ................ 70
Personalised medical device with aggregation-induced emission features ............................................... 71
Synthesis AIEgen biosensors with thin film technologies ........................................................................... 71
Chemical and spectroscopic investigation of blood and bruises ................................................................ 72
Breathing Bad - Distinguishing between methamphetamine contamination of houses due to
smoking versus synthesis ......................................................................................................................... 72
5Breathing Bad - Adsorption and release of methamphetamine from household items - a health
and safety issue ........................................................................................................................................ 73
Food and drink provenancing - "Food forensics" ....................................................................................... 73
Determining extent of similarity between multiple samples for forensic or environmental
investigations ........................................................................................................................................... 74
Mass spectrometers for forensic, environmental and medical investigations........................................... 74
Computer program to visualise extent of similarity between multiple samples from different
geographic origin...................................................................................................................................... 75
Forensic toxicology - New analytical techniques for new drugs................................................................. 75
Determining metal uptake and structural weakness in corals under changing environmental
conditions ................................................................................................................................................. 76
Drilling down on the genetic aberration cause of Autistic Spectrum Disorder .......................................... 76
Detection and discrimination of explosives and precursors....................................................................... 77
6Design, IT, Mathematics and Science Communication
Medical image segmentation Classification of breast cancer
histology images using Deep
Learning techniques
Commencing: February 2020
Commencing: February 2020
Principal Supervisor: Dr Mariusz Bajger
Principal Supervisor: Dr Mariusz Bajger
Email: mariusz.bajger@flinders.edu.au
Email: mariusz.bajger@flinders.edu.au
Project summary
In these projects we will look at the methods of Project summary
segmentation suitable for large images. The most The project will focus on applications of
robust segmentation techniques usually involve Convolutional Neural Networks (CNN) to
criterion based on image texture which makes classification of stained breast biopsy images.
them computationally expensive or even Different network architectures and parameters
prohibitive. To overcome this issue subsampling is would be considered to achieve state-of-the-art
often used. This however leads to loose of performance with classification of tissues into
information present in the original image which classes such as normal, benign, malignant. Publicly
may be critical for further image analysis tasks. available databases would be used to evaluate
Some recent methods have been proposed to deal performance of the designed networks. The
with this issue for scene images. In this project we accuracy of such systems is currently about 75-85%
will look at ways of applying these methods to leaving significant room for improvement. The
medical images. project requires access to a PC with a decent GPU.
Location Location
Flinders University - Tonsley Flinders University - Tonsley
Assumed knowledge Assumed knowledge
Basic knowledge of mathematics (first year Basic knowledge of probability, linear algebra and
University level); good programming skills statistics; good programming skills
Further information Further information
flinders.edu.au/people/mariusz.bajger flinders.edu.au/people/mariusz.bajger
7Design, IT, Mathematics and Science Communication
Medical image segmentation using Importance of modules in
CNN hierarchical games/warfare
Commencing: February 2020 Commencing: February 2020
Principal Supervisor: Dr Mariusz Bajger Principal Supervisor: A/Prof Vladimir Ejov
Email: mariusz.bajger@flinders.edu.au Email: vladimir.ejov@flinders.edu.au
Project summary Project summary
Recently, several systems based on CNNs have To design mathematical models and software to
been proposed to segment medical images. determine the probability of winning a sports
Systems like V-net, U-net and similar, already show competition from any given score on the basis of
impressive performance on some natural scene given elementary probabilities of winning a point,
images, light microscopy images or MRIs. In this relative to various sports. Derive explicit formulae
project we will look at the techniques of data for the outcome and compare them with the
augmentation and their impact on the system recursive approach. Determine importance of
performance. We may also look at the methods of hierarchical events during the competition.
filter visualization to improve understanding of
underlying feature space. The project requires
Location
access to a PC with a decent GPU.
Flinders University - Tonsley
Location
Assumed knowledge
Flinders University - Tonsley
Probablity and statistics topics
Assumed knowledge
Further information
Basic knowledge of probability, linear algebra and
statistics; good programming skills Based on further development of the ideas
introduced in
Further information researchbank.swinburne.edu.au/file/edbea937-
273d-4a0c-b0ae-
flinders.edu.au/people/mariusz.bajger
60edea4489c8/1/Tristan%20Barnett%20Thesis.pdf
8Design, IT, Mathematics and Science Communication
Analytical and computational Computer simulations of non-
studies of lattice walk generating equilibrium models in statistical
functions physics
Commencing: February or July 2020 Commencing: February or July 2020
Principal Supervisor: Dr Iwan Jensen Principal Supervisor: Dr Iwan Jensen
Email: iwan.jensen@flinders.edu.au Email: iwan.jensen@flinders.edu.au
Project summary Project summary
Counting the number of combinatorial objects a(n) Non-equilibrium models originating in statistical
of size n and finding the generating function of the physics has been used extensive to study a range of
sequence is a fundamental pursuit of phenomena such a population growth including
combinatorics. A time honoured approach is to the spreading of infectious diseases, forest fires,
generate the sequence numerically and then try to catalytic chemical processes etc. An example is the
"guess" the generating function or one may find simple birth-death process in which individuals can
functional equations satisfied by the generating reproduce asexually and die. Embedded on a
function. A number of specific projects related to lattice the reproduction is constrained since a new
models of polymer physics is on offer with individual can only arise on an empty site of the
computational and/or analytical components to lattice.
meet the interests of any student.
Location
Location Flinders University - Tonsley
Flinders University - Tonsley
Assumed knowledge
Assumed knowledge Experience with coding in C or Python
Experience with Matlab or Mathematica, real and
complex analysis.
Further information
For a computational project, experience with flinders.edu.au/people/iwan.jensen
coding in C or Python
Further information
flinders.edu.au/people/iwan.jensen
9Design, IT, Mathematics and Science Communication
BCI for outreach Brain Connectivity in Auditory-
Visual Speech
Commencing: February or July 2020 Commencing: February or July 2020
Principal Supervisor: Dr Trent Lewis Principal Supervisor: Dr Trent Lewis
Email: trent.lewis@flinders.edu.au Email: trent.lewis@flinders.edu.au
Project summary Project summary
The Brain Signals Lab at Flinders does some cool Speech is a multimodal activity that relies on both
work with brain signals. The problem to be auditory and visual sensory input, particularly to
addressed here is how to make that work enhance understanding speech in noisy situations.
accessible to a broader audience, but mostly to This project would investigate the underlying brain
school aged children. Some effort has been put mechnisms by applying connectivity and graph
towards developing some straight forward brain analysis, and also machine learning to EEG to
computer interfaces (BCIs) that have shown some examine the causal relationships between the
promise. For example the “turn a light on with your activities of brain regions involved in auditory-
brain” used the change in the brain’s Alpha rhythm visual speech processing of sentences and during
to trigger an event that switch a wifi light switch on varying levels of acoustic noise.
or off. This project would investigate ways to
creatively display brain activity through either BCIs Location
or visualisation.
Flinders University – Tonsley
Location
Assumed knowledge
Flinders University – Tonsley
A level of programming proficiency
Assumed knowledge
Further information
Some knowledge of either programming,
visualization or signal processing flinders.edu.au/people/trent.lewis
Further information
flinders.edu.au/people/trent.lewis
10Design, IT, Mathematics and Science Communication
Disease Diagnosis from EEG using LED Brain Project
Machine Learning
Commencing: February or July 2020 Commencing: February or July 2020
Principal Supervisor: Dr Trent Lewis Principal Supervisor: Dr Trent Lewis
Email: trent.lewis@flinders.edu.au Email: trent.lewis@flinders.edu.au
Project summary Project summary
There are particular brain-based disorders that do The goal of the LED Brain Project is to develop a
not have any brain structural abnormalities that brain sculpture that reflects in real-time the
can be detected using modern brain imaging activity in a person’s brain. A prototype has been
technologies. However, functionally we might be developed that demonstrate the various stages
able to detect subtle differences that lead to the involved in the system, but there still much
behaviours such as psychosis, anxiety, depression, refinement to reach the end product. The stages in
or dementia. We currently have an EEG dataset the project can be roughly broken down into
that was collected from a variety people with • Modelling
different disorders. The goal of this project is to o Software
investigate different machine learning algorithms o 3D Printing
for classifying and categorizing the EEG data from • Hardware
this dataset. o Electronics
o Power
Location o Computing
Flinders University – Tonsley o Enclosure Design
• Software
o Hardware communication
Assumed knowledge
o User Interface
Programming
Location
Further information Flinders University – Tonsley
flinders.edu.au/people/trent.lewis
Assumed knowledge
Some knowledge around programming, 3D
modelling, signal processing
Further information
flinders.edu.au/people/trent.lewis
11Design, IT, Mathematics and Science Communication
AI:AudioVisual Speech/Face AI:Applications of Machine
Emotion/Expression Learning and Neural Networks in
Recognition/Generation Forensics
Commencing: February or July 2020 Commencing: February or July 2020
Principal Supervisor: Prof David Powers Principal Supervisor: Prof David Powers
Email: david.powers@flinders.edu.au Email: david.powers@flinders.edu.au
Project summary Project summary
This group of projects aims to add the dimension of This group of projects is carried out with
emotion and expression to avatar and speech cooperation and cosupervision from the Forensics
generation as well as to the understanding of the Institute.
humans the talk to. DNA: Projects include automatically classifying
• AVSpeechRec - speech recognition is still brittle DNA from electropherograms, identifying DNA-
and emotion, expression and accent are often contamination on surfaces to swap, counting the
regarded as noise, but adding lip-reading can number of cells in a sample.
improve resilience in high noise condition, and Handwriting/Speech/Text: Identifying people by
rather than try to factor out emotion and the handwriting or speech samples, identifying the
expression, why not try to recognize the author of an anonymous note or call, quantifying
emotions and expressions. the likelihood that a particular person is the author
• AVSpeechGen - a model for recognizing a particular note, call or text.
speech, emotions and expressions can also be Computer Security applications.
used to add this dimension to avatar speech.
Location
Location Flinders University – Tonsley (AIRL+MMRF)
Flinders University – Tonsley (AIRL+MMRF)
Assumed knowledge
Assumed knowledge Some knowledge of a Matlab, Weka, C++ or Python
Some knowledge of a Matlab, Weka, C++ or Python toolbox for Machine Learning, Neural Networks,
toolbox for Machine Learning, Neural Networks, Natural Language or Speech processing
Natural Language or Speech processing
Further information Further information
flinders.edu.au/people/david.powers flinders.edu.au/people/david.powers
Artificial Intelligence and Language Technologies Sydney North Health Network
Cognitive Linguistics and Psycholinguistics Flinders Forensic Science cleans up at Awards
The Talking Thinking Teaching Head
12Design, IT, Mathematics and Science Communication
AI:Embodied Conversational Agents AI:Improved chance-correct
for Health Interventions and Machine Learning and Boosting
Training algorithms
Commencing: February or July 2020 Commencing: February or July 2020
Principal Supervisor: Prof David Powers Principal Supervisor: Prof David Powers
Email: david.powers@flinders.edu.au Email: david.powers@flinders.edu.au
Project summary Project summary
Flinders is well known for its Talking Head and Current Machine Learning algorithms and Neural
Health Technologies. Important projects include Networks tend top optimize some form of accuracy
teaching social skills to children with autism, (maximizing) or error (mininizing) in a way that is
providing companionship, advice and audiovisual easily biased when one of the classes occurs much
memory assistance to people with dementa, more than the other. They also tend to be defined
providing counselling to people with social or fundamentally for the two-class dichotomous case.
health problems, and providing training to health When a multiclass problem is trained per class with
professionals in the motivational interviewing such a classifier, most if not all of the classifiers will
techniques that can help people realize the import be facing exactly the kind of imbalance they are
and effect of their problems, help them own the worst at. Later stages of learning on a balanced
treatment program, and help them to properly dataset can also become imbalanced.
follow the recommended regime. Tasks • design a classifier/booster to optimize
• implement dialogue informedness
• animate AV demos
Location
Location Flinders University – Tonsley (AIRL+MMRF)
Flinders University – Tonsley (AIRL+MMRF)
Assumed knowledge
Assumed knowledge Some knowledge of alorithms and ideally a Matlab,
Background in interactive application development Weka, C++ or Python toolbox for Machine Learning
for mobile and/or fixed platforms. A background in or Neural Networks.
artificial intelligence/intelligent systems would be
helpful.
Further information
flinders.edu.au/people/david.powers
Further information
Artificial Intelligence and Language Technologies
flinders.edu.au/people/david.powers
Sydney North Health Network
13Design, IT, Mathematics and Science Communication
AI:Multimedia Robot World AI:Speech driven applications
Commencing: February or July 2020 Commencing: February or July 2020
Principal Supervisor: Prof David Powers Principal Supervisor: Prof David Powers
Email: david.powers@flinders.edu.au Email: david.powers@flinders.edu.au
Project summary Project summary
This group of projects aims to provide support for This group of projects offers a top student the
grounded learning by giving the learner access to a opportunity to work with one of our award winning
virtual and/or real world. start up companies as well as partners in health
• Virtual world - program animated characters and education.
and objects to behave in proactive of reactive • YourAmigo is known as the world leader in
ways in a virtual world, make animated integral search optimisation due to its
vignettes matching a story (represented using patented deep web technologies.
a tree structure as might be generated from • YourAnswer, it's new sibling was awarded the
natural language texted) WorldWide Most Exciting Tech Award at etail
• Real world - recognize how real world 2019 for its voice over phone search
correlates of animated characters and objects technology and shopping experience.
more (e.g. 3D print/scan to transfer between • Clevertar commercializes our Thinking Talking
worlds) and generate story (tree or text) Teaching Head avatar technologies and has a
• Hybrid world - virtual+real teaching situation particular focus on health applications and
customer service.
Location
Flinders University – Tonsley (AIRL+MMRF) Location
Flinders University – Tonsley (Startups in CBD)
Assumed knowledge
Background in interactive application development Assumed knowledge
for mobile and fixed platforms, including ideally 3D Background in interactive application development
graphical design, rendering or interpretation (e.g. for mobile and fixed platforms. Some background
of camera input or Kinect of Realsense) in artificial intelligence/intelligent systems would
be helpful.
Further information
flinders.edu.au/people/david.powers Further information
Artificial Intelligence and Language Technologies flinders.edu.au/people/david.powers
Cognitive Linguistics and Psycholinguistics youramigo.com/ l youranswer.io/ l clevertar.com/
The Talking Thinking Teaching Head Sydney North Health Network
14Design, IT, Mathematics and Science Communication
Improved high efficiency Decision support for hospital
programming language for patient flow optimisation
multimodal AI, IoT and Robotics Commencing: February or July 2020
Commencing: February or July 2020
Principal Supervisor: Dr Shaowen Qin
Principal Supervisor: Prof David Powers Email: shaowen.qin@flinders.edu.au
Email: david.powers@flinders.edu.au
Project summary
Many of Australia’s public hospitals operate at, or
Project summary
near, full capacity, which is commonly assumed to
Current programming languages are extremely risk the emergence of significant delays during the
inefficient in their memory usage when it comes to admission process for emergency arrivals, and the
dynamic memory and constructs like extensible need to cancel or delay planned admissions to
arrays or lists, object-oriented programming and create further capacity. This project aims to
API layering. The kinds of programs that used to develop and validate predictive models for hospital
run in a few Kb can now get to Gb, and memory occupancy and test "what-if" interventions for
leaks will eventually bring any modern OS to a minimising congestion episodes using advance data
standstill. analysis and simulation modelling approaches.
Matrix/Array Functional Inductive Applicative
(MAFIA) programming combines the best points of Location
languages like C, Haskell, Matlab, Perl & Prolog by
Flinders University - Tonsley
defining a pointer-free array/stream-based OO
model that directly exploits the paging features of
modern CPU. Assumed knowledge
Data analysis and system modelling skills
Location
Flinders University – Tonsley (AIRL+MMRF) Further information
flinders.edu.au/people/shaowen.qin
Assumed knowledge
Some knowledge of Matlab &/or Prolog &
Programming Language Concepts/Theory of
Computation, as well as Computer Architecture,
Operating Systems & Computer Networks
(knowledge of x64 arch/os and Linux very useful)..
Further information
flinders.edu.au/people/david.powers
15Design, IT, Mathematics and Science Communication
Patient flow data clustering and Augmented reality decision support
modular hospital design system and training application for
blood transfusion services
Commencing: February or July 2020
Commencing: February 2020
Principal Supervisor: Dr Shaowen Qin
Email: shaowen.qin@flinders.edu.au Principal Supervisor: Dr Brett Wilkinson
Email: brett.wilkinson@flinders.edu.au
Project summary
This project aims to develop a modular hospital Project summary
design to optimise its service delivery. Data Develop and evaluate a mobile based AR system
mining/machine learning techniques will be that will support practitioners in surgery theatres
applied to analyse hospital patient flow data for to interpret and make decisions on trace results
identification and characterization of clusters at from blood tests during surgery and transfusion
various abstraction levels (module, process, and processes. There will be opportunities to observe
end-to-end care stream) along with their surgical procedure to understand the use of the
responsibilities and interfaces. The objective is to current technology and how the AR app will assist
examine the existing hospital operations and in decision making. Work will be conducted in
recommend pathways to evolve the hospital to a partnership with ROTEM at the FMC.
modular structure for improved patient flow as
well as quality and safety of care.
Location
Flinders University - Tonsley
Location
Flinders University - Tonsley
Assumed knowledge
Students should have confident skills in
Assumed knowledge
programming, UX design and software engineering
Data analysis skills; programming; object oriented as acquired through topics (or equivalent)
analysis and design COMP2711, COMP2741, COMP3712, COMP3751,
ENGR2792, ENGR3791
Further information
flinders.edu.au/people/shaowen.qin Further information
flinders.edu.au/people/brett.wilkinson
16Design, IT, Mathematics and Science Communication
Augmented reality music studio Brain-computer interfaces and
video games
Commencing: February 2020 Commencing: February 2020
Principal Supervisor: Dr Brett Wilkinson Principal Supervisor: Dr Brett Wilkinson
Email: brett.wilkinson@flinders.edu.au Email: brett.wilkinson@flinders.edu.au
Project summary Project summary
Development and evaluation of a handheld AR Gamepads, mouse, keyboards, wheels, or joysticks
system to produce musical tracks. Create a marker are all natural interaction devices for games… but
based system that would allow the player to what about your brain? This project will look at
introduce various aspects of a musical piece the capabilities of existing hardware to provide
(percussion, strings, etc., tempo, pitch, etc.) as “brain-based” input into an interactive gaming
individual markers into a scene captured by the experience. The project will require the student to
camera of a tablet. design an interaction framework for an existing
game or develop a game built around a brain
The intention is to create an experience for a
interface. Evaluation of the effectiveness of the
performer that allows a visualisation of the music
input mechanic will be investigated through
to be displayed dynamically while the markers are
experimentation.
moved within the scene.
Location
Location
Flinders University - Tonsley
Flinders University - Tonsley
Assumed knowledge
Assumed knowledge
Confident skills in game design, programming, UX
Confident skills in programming, UX design and
design and software engineering as acquired
software engineering as acquired through topics
through topics (or equivalent) COMP2711,
(or equivalent) COMP2711, COMP2741,
COMP2741, COMP3751, COMP3752, COMP3802,
COMP3712, COMP3751, ENGR2792, ENGR3791
ENGR2792, ENGR3791
Further information
Further information
flinders.edu.au/people/brett.wilkinson
flinders.edu.au/people/brett.wilkinson
17Design, IT, Mathematics and Science Communication
Interacting with games in a serious Virtual environments and the user
and meaningful way
Commencing: February 2020 Commencing: February 2020
Principal Supervisor: Dr Brett Wilkinson Principal Supervisor: Dr Brett Wilkinson
Email: brett.wilkinson@flinders.edu.au Email: brett.wilkinson@flinders.edu.au
Project summary Project summary
Controllers and the way a gamer interacts with a What are the next stages for virtual reality? What
game can create beneficial and meaningful types of experiences are users looking for? How
immersive experiences. As a traditional player of can we engage with these virtual worlds in an
video games we may take for granted the use of a immersive, meaningful way? This project is flexible
standard console controller. What type of and will accommodate students who are interested
affordances need to be applied for those players in HCI, digital media creation, game development,
who do not have the same capacity as us? What or related areas. The project will look to explore
type of devices are required for specialised game- possibilities associated with VR and other mixed
based training tasks? This project will encourage reality environments.
the student to explore the use of controllers for
games and look at how they could be modified or
Location
removed to enable engaging play for appropriate
audiences. Flinders University - Tonsley
Location Assumed knowledge
Flinders University - Tonsley Confident skills in game design, programming, UX
design and software engineering as acquired
through topics (or equivalent) COMP2711,
Assumed knowledge COMP2741, COMP3751, COMP3752, COMP3802,
Confident skills in game design, programming, UX ENGR2792, ENGR3791
design and software engineering as acquired
through topics (or equivalent) COMP2711,
Further information
COMP2741, COMP3751, COMP3752, COMP3802,
ENGR2792, ENGR3791 flinders.edu.au/people/brett.wilkinson
Further information
flinders.edu.au/people/brett.wilkinson
18Design, IT, Mathematics and Science Communication
Digital footprints of university Sentiment (Behaviour) Analysis:
students Student Mental Wellness
Commencing: February 2020 Commencing: February 2020
Principal Supervisor: Prof Trish Williams Principal Supervisor: Prof Trish Williams
Email: trish.williams@flinders.edu.au Email: trish.williams@flinders.edu.au
Project summary Project summary
Footprints create a picture of what each person Research shows that the wellbeing of university
does online and from the use of information and students is at risk. Starting a university education is
communication technology (ICT). As a result, data a time of great change. Poor mental wellness can
is available from all aspects of our lives creating a have a significant personal cost, impacting the
personal digital footprint and can be sources of ability of students to complete studies and can
information about an individual’s behaviour. As negatively impact future prospects.
part of the Campus Mental Wellness project, this
The aim of this project is to identify student
will further existing research into building maps of
conversations on one or more social media
digital footprints university students.
platforms and determine what these conversations
can tell us about student engagement, student
Location retention and ultimately student wellness.
Flinders University – Tonsley Example: Can predictors of Student Wellbeing be
identified from Twitter conversations.
Assumed knowledge
Understanding of basic communications Location
technology and networking; Simple mapping and Flinders University – Tonsley
analysis skills
Assumed knowledge
Further information Basic programming skills, data analysis, interest in
flinders.edu.au/people/trish.williams artificial intelligence
Flinders Digital Health Research Centre
Further information
flinders.edu.au/people/trish.williams
Flinders Digital Health Research Centre
19Design, IT, Mathematics and Science Communication
The effect of data quality on
patient match rates
Commencing: February 2020
Principal Supervisor: Prof Trish Williams
Email: trish.williams@flinders.edu.au
Project summary
Correct patient matching is critical as increasing
numbers of systems are exchanging data. The
ability to match patient data is essential to provide
quality and appropriate healthcare. However, in
the complex healthcare environment whilst
systems are inter-operable there is little research
into how the quality of data impacts patient
matching success rates. The project aims to
understand how errors and variations in the quality
of patient data in the sending and/or receiving
information systems.
Location
Flinders University – Tonsley
Assumed knowledge
An understanding of data quality and data
governance concepts; Data science and analytical
skills; Basic statistical knowledge
Further information
flinders.edu.au/people/trish.williams
Flinders Digital Health Research Centre
20Natural Sciences (incl Biology and Environment)
Advancing hydro(geo)logical Conservation management and
process understanding and genetic rescue of Yarra pygmy
modelling for impact assessment perch
Commencing: February or July 2020 Commencing: February 2020
Principal Supervisor: Prof Okke Batelaan Principal Supervisor: Prof Luciano Beheregaray
Email: okke.batelaan@flinders.edu.au Email: luciano.beheregaray@flinders.edu.au
Project summary Project summary
For research interest in: Genomic approaches can play a major role in
conservation. We are working in the emerging field
• Regional groundwater modelling
of restoration genomics to address genetic
• Catchment hydrology and distributed problems typically found in small populations while
hydrological modelling attempting to restore biodiversity to the wild. This
• GIS and Remote sensing applications in project is part of a multi-institutional effort to
hydrological modelling restore the lineage of Yarra pygmy perch, a native
• Groundwater dependent ecosystems species that went extinct in the Murray-Darling
• Groundwater recharge and discharge Basin and is now represented only in captivity. The
estimation work might include analyses of reproductive
• Groundwater/surface water interaction condition, growth rates and genomic variation in
• Ecohydrology the MDB and in a recently translocated coastal
lineage.
contact me and we can discuss a project in more
detail.
Location
Location Flinders University - Bedford Park
Flinders University - Bedford Park
Assumed knowledge
Assumed knowledge Background knowledge in ecology, evolution
None listed and genetics
Further information
Further information
flinders.edu.au/people/okke.batelaan
flinders.edu.au/people/luciano.beheregaray
molecularecology.flinders.edu.au/
Molecular Ecology Lab
21Natural Sciences (incl Biology and Environment)
Restoration genomics and the Farming systems, invertebrate
adaptive potential of small biodiversity and ecosystem services
populations
Commencing: February 2020
Commencing: February 2020
Principal Supervisor: Prof Corey Bradshaw
Principal Supervisor: Prof Luciano Beheregaray Email: corey.bradshaw@flinders.edu.au
Email: luciano.beheregaray@flinders.edu.au
Project summary
Project summary NB: This project is in collaboration with Dr Maarten
Understanding the potential of wild populations to van Helden at SARDI and will be co-supervised by
respond to the selective pressures imposed by A/Prof Stewart Walker at Flinders.
humans is a major research priority. This project In ‘conventional’ broad-acre farming the use of
will combine genomic and environmental datasets pesticides does not only reduce pests but also
to infer parentage and adaptive potential in a influences other (beneficial) organisms, changing
reintroduced population of a threatened fish. It will the services they can provide. Organic farming uses
contribute to a large research program funded by no synthetic pesticides or fertilizers and overall
the Australian Research Council that investigates management is very different (varieties, soil
evolutionary potential of small populations in management).
nature. The outcomes will help evaluate and We aim to obtain benchmarks on the invertebrate
improve local and ecosystem-level initiatives communities and related ecosystem services of
towards the sustainable management of aquatic pairs of organic and conventional paddocks using
biodiversity. sampling, trapping and sentinel systems, for
designing future factorial experiments to identify
Location how management changes shift communities and
ESS.
Flinders University - Bedford Park
Location
Assumed knowledge
SARDI/Uni of SA Waite Campus
Background knowledge in ecology, evolution
and genetics
Assumed knowledge
Curiosity, motivation, basic knowledge of
Further information
entomology and agriculture
flinders.edu.au/people/luciano.beheregaray
Molecular Ecology Lab Further information
flinders.edu.au/people/corey.bradshaw
flinders.edu.au/people/stewart.walker
22Natural Sciences (incl Biology and Environment)
Evaluation of the performance of a Ticks and lizards (various projects)
large high rate algal pond for
wastewater treatment Commencing: February and July 2020
Commencing: February 2020 Principal Supervisor: A/Prof Mike Gardner
Email: michael.gardner@flinders.edu.au
Principal Supervisor: Prof Howard Fallowfield
Email: howard.fallowfield@flinders.edu.au Project summary
I have several potential projects depending on
Project summary students interests. These can involve more or less
We have championed the acceptance of high rate fieldwork and more or less genetics and genomics.
algal ponds (HRAPS) for wastewater treatment in All the projects involve work on lizards either from
SA. HRAPs are shallow, mixed ponds where algae a long term study on sleepy lizards and their ticks,
provide photosynthetic oxygen to bacteria, which or on the establishment of a new population of the
mineralise organic carbon thereby providing CO2 endangered pygmy bluetongue lizard. I have
to the algae. Nutrients are removed by the growth several projects involving genes of the Major
of algae. Federal funding enabled construction of Histocompatibility Complex (MHC) which are
two 5000m2 HRAPs for treatment of wastewater at involved in the immune response and mate choice
Peterborough, SA. This is a unique facility in and also on the analysis of SNP data sets. Organise
Australia. This project will characterise the a time to meet with me to discuss your interests.
hydrodynamics of the HRAP and determine HRAP
nutrient, E.coli and F-RNA coliphage removal. Location
Flinders University - Bedford Park
Location Field sites – mid-north SA
Flinders University - Bedford Park Labs at SA Museum
Assumed knowledge Assumed knowledge
Microbology, microbial ecology or water chemistry An interest in molecular ecology. Enthusiasm.
Writing skills.
Further information
Further information
flinders.edu.au/people/howard.fallowfield
flinders.edu.au/people/michael.gardner
waterpathogens.org/node/3354
Lab of Evolutionary Genetics and Sociality
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