Skip to main content

Upcoming Events

July CIC and ITTC Research Seminar

Date: July 29, 2019

Time: 2:00 - 3:30 pm

Location: Think Space, Building 103, Room 109, Curtin University, Bentley

|

July CIC and ITTC Research Seminar

Dr Maria Wolters presents The Hidden Stories of Missing Data

Abstract:

Missing data is often regarded as a nuisance. It is seen as something that occurs when people are careless when entering data, when users fail to understand simple procedures, or indeed when patients fail to comply with monitoring regimes. In this talk, I would like to argue against that view.

Instead, I suggest that missing data are a valuable indicator of problems with the underlying system. I will review the emerging literature that shows that missing data – be it missed entries in the Electronic Health Record, because a patient did not attend their appointment, or missed readings in a tele-monitoring service – usually point to a worsening of health, and unpack the implications of systemic sources of missing data on the use of wearables for health monitoring.

Bio:

Dr Maria Wolters is a Reader (Associate Professor) in Design Informatics at the University of Edinburgh and a Faculty Fellow at the Alan Turing Institute for Data Science and Artificial Intelligence, London, where she specialises in missing health data.

She has published over 85 peer reviewed papers in Human-Computer Interaction, eHealth, and Computational Linguistics. She is a Subcommittee Chair of the 2020 ACM SIGCHI conference on human-computer interaction, and on the Programme Committee of the ACM SIGASSETS conference on accessible technology.

The presentation will follow with a networking opportunity.

August CIC Research Seminar

Date: August 5, 2019

Time: 2:00 - 3:00 pm

Location: Innovation Central Perth- Building 216 Room 204, Curtin University, Bentley

|

August CIC Research Seminar

Dr. Shihui Feng presents How Complexity Thinking Can Contribute to Learning Science

Abstract:

A holistic and newly systematic approach is required to understand individual learning in terms of the interactive effects of various actors (e.g. teachers, peers, parents as well as various levels of the self, agency and social nature of the individual) and technological artefacts in the learning context. The demand for measuring learning behaviour during the process rather than the learning outcomes afterwards is critical to timely effective interventions and facilitations.

Complexity, as a scientific and computational framework, offers the theoretical and methodological basis for discovering the hidden structures and modelling the non-linear dynamics of emergent behaviour in physical, biological, social, economic and technological systems.

This presentation will introduce the basic concept and principles of complex systems and discuss the connections and implications of complexity for understanding the dynamic and evolving learning behaviours across micro, meso and macro levels.

Bio:

Dr. Shihui Feng is currently a Lecturer in the Division of Information and Technology Studies at the Faculty of Education at the University of Hong Kong. Her research interest is on studying social behaviour, complex system, and social resilience in cyberspace. In particular, she is interested in studying the social effects on individual and collective behaviour with self-administrated data and large-scale online data from a network perspective.

She received her Ph.D. degree in 2018 from the University of Hong Kong. Prior to that, she received the Master of Science in system engineering and engineering management at the Chinese University of Hong Kong and Bachelor of Science in information management and information system at East China Normal University. She has also received training on complex systems, network analysis, and humanitarian responses from Santa Fe Institute, CMU, and Harvard.

The presentatioon will be followed by a networking opportunity

RNT August 2019

Date: August 8, 2019

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT August 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO

RNT September 2019

Date: September 12, 2019

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT September 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO

RNT October 2019

Date: October 10, 2019

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT October 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO

RNT November 2019

Date: November 14, 2019

Time: 10:30 - 11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT November 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO

 


Past Events

If you are interested in any further information on our past events feel free to contact the CIC team.

July CIC Research Seminar

Date: July 19, 2019

Time: 2:00 - 3:30 pm

Location: Innovation Central Perth- Building 216 Room 204, Curtin University, Bentley

|

July CIC Research Seminar

Dr. Shihui Feng presents Network Approaches to Understanding Social Interactions and Social Effects in Learning

Abstract:

Network science as an emerging and highly interdisciplinary field with the theoretical and methodological foundations drawn from physics, graph theory, sociology, and social psychology provides us a set of effective approaches to make sense of various complex systems in the real world. Learning can be regarded as a form of system-level social activity, in which interconnections and interdependences of multiple learning actors and artefacts are present. Network theories and methods offer approaches to analysing the underlying structural properties of social interactions at both individual and system levels. It can further provide insights into the dynamic changes of individual decision makings and performance influenced by social connections in learning.

This presentation will introduce the seminal studies of network science, basic network concepts and measurements, as well as two empirical studies on employing network approaches to studying peer advising relationship and group coordination and task allocation in collaborative learning.

Bio:

Dr. Shihui Feng is currently a Lecturer in the Division of Information and Technology Studies at the Faculty of Education at the University of Hong Kong. Her research interest is on studying social behaviour, complex system, and social resilience in cyberspace. In particular, she is interested in studying the social effects on individual and collective behaviour with self-administrated data and large-scale online data from a network perspective.

Dr Feng received her Ph.D. degree in 2018 from the University of Hong Kong. Prior to that, she received the Master of Science in system engineering and engineering management at the Chinese University of Hong Kong and Bachelor of Science in information management and information system at East China Normal University. She has also received training on complex systems, network analysis, and humanitarian responses from Santa Fe Institute, CMU, and Harvard.

Besides academic life, she enjoys playing piano and good food.

The presentation will be followed by a networking opportunity

RNT July 2019

Date: July 11, 2019

Time: 10:30 -11:30 am

Location: Innovation Central Perth, Building 216 level 2

RNT July 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO

ResBaz Perth 2019

Start date: July 2, 2019

End date: July 4, 2019

Time: 9am-5pm

Location: Curtin University Medical School, B410, Bentley Campus

ResBaz Perth 2019

About ResBaz:

The Research Bazaar (ResBaz) is a worldwide festival promoting the digital literacy emerging at the centre of modern research. Throughout 2019 events will be held at a number of university campuses around the globe.

Perth’s ResBaz is a low-cost, 3-day intensive festival and (un-)conference where researchers come together to up-skill in next generation digital research tools and scholarship. In the spirit of a marketplace or bazaar, ResBaz is a highly participatory event where researchers from many different disciplines can learn, share knowledge and skills, and have fun.

ResBaz Perth 2019 will be held at Curtin University from July 2-4.

Training Available:

We are planning to run several parallel streams this year to cater to new as well as more seasoned learners. Training 1 will include the following options:

  • Intro to the command line and Version Control (Git)
  • Intro to structured data
  • Intro to Docker

Training 2 will be run on days 2 and 3 and includes (the level in the brackets refers to your familiarity with programming and not your knowledge of the topic):

  • Data analysis and visualisation with Python (beginner level)
  • Data analysis and visualisation with R (beginner level)
  • Intro to Machine Learning (intermediate to advanced level)
  • Genomics (specialisation, intermediate level)
  • Humanities, Arts, and Social Sciences (HASS specialisation, beginner level)

RNT June 2019

Date: June 13, 2019

Time: 10.30am-11.30am

Location: Innovation Central Perth, Building 216 level 2

RNT June 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO

CIC seminar 4 June 2019

Date: June 4, 2019

Time: 9.30am - 11.30am

Location: Innovation Central Perth, Curtin University, Building 216, Level 2

|

CIC seminar 4 June 2019

Meet Cray’s Frontier, Shasta, and ClusterStor

presented by David Kelly, CRAY Senior System Engineer

 

Abstract
Meet Frontier – Oak Ridge National Lab’s new supercomputer for the exascale era.

Oak Ridge’s new exascale supercomputer will be able to perform 1.5 quintillion operations per second – the equivalent of solving 1.5 quintillion math operations every second. The supercomputer – named Frontier, using Cray’s new “Shasta” architecture – will support a wide range of scientific applications for advanced modelling and simulation and the application of high-performance data analytics and artificial intelligence to advance scientific knowledge.

In this talk we will cover the Shasta hardware and software, and the ClusterStor storage subsystem, and give some examples of the Aurora and Frontier exaflop systems that have been announced. This is followed by time for Q&A.

Bio
David has over 40 years of experience in high performance and real-time computing systems and has expertise encompassing all aspects of the system life cycle from requirements analysis, infrastructure design, hardware sizing, capacity planning, continuity planning, integration planning and benchmarking, through to configuration management, change management and problem management for mature systems. He has developed a wide range of system-level software, including device drivers and operating systems modules, high-throughput archiving utilities, control systems, and video-on-demand software. One of his more interesting projects was writing the real-time Linux-based data acquisition subsystems for the Australian Synchrotron. David works as a Senior Systems Engineer with Cray, helping to ensure that Cray’s high-performance computing systems are able to meet all the demands of Cray’s wide range of customers.

Optus-Curtin Centre of Excellence in AI Seminar Series – Seminar 2

Date: May 24, 2019

Time: 9.30am - 11am

Location: Curtin University, Building 103, ThinkSpace

|

Optus-Curtin Centre of Excellence in AI Seminar Series – Seminar 2

Particle filtering, data assimilation, and new fluctuation and stability results for ensemble state estimators in high-dimensions

Abstract: Ensemble filtering is a data assimilation method for filtering in high-dimensional state-space models arising in, e.g., fluid mechanics, weather forecasting, and geophysical sciences. In this talk I will introduce ensemble/particle filtering methods. I will relate classical particle Bayesian filters with so-called ensemble state estimators. I will present one particular ensemble filtering method as a mean-field McKean-Vlasov-type particle interpretation of a certain nonlinear diffusion.

Bio: A.N. Bishop currently holds a joint position with the School of Biomedical Engineering at UTS and the CSIRO at the Australian Technology Park in Sydney. Until recently, Dr. Bishop held an ARC DECRA Fellowship (originally at the ANU for 3 years, and then at UTS for 3 years). Prior to joining UTS, Dr. Bishop held academic positions at the Australian National University (ANU) in Canberra, Australia, and the Royal Institute of Technology (KTH) in Stockholm, Sweden.

Optus-Curtin Centre of Excellence in AI Seminar Series – Seminar 1

Date: May 23, 2019

Time: 2.30pm - 3.30pm

Location: Curtin University, Building 216, ICP Level 2

|

Optus-Curtin Centre of Excellence in AI Seminar Series – Seminar 1

Modelling and Analysis of Opinion Dynamics on Social Networks

Abstract: Social network analysis is a rich and exciting area of interdisciplinary research that has been tackled by many different scientific communities. Opinion dynamics is a popular topic which uses mathematical models to describe how opinions change as individuals interact over a network. Two recent developments are presented from the perspective of a systems and control engineer, giving some insight into how individual-level processes combine with network-level interactions to determine the evolution, including limiting values, of opinions in the network.

Bio: Mengbin Ye was born in Guangzhou, China. He received the B.E. degree (with First Class Honours) in mechanical engineering from the University of Auckland, Auckland, New Zealand in 2013, and the Ph.D. degree in engineering at the Australian National University, Canberra, Australia in 2018. He is currently a postdoctoral researcher with the Faculty of Science and Engineering, University of Groningen, Netherlands.

He has been awarded the 2018 Springer PhD Thesis Prize, and was Highly Commended in the Best Student Paper Award at the 2016 Australian Control Conference. His current research interests include opinion dynamics and social networks, consensus and synchronisation of Euler-Lagrange systems, and localisation using bearing measurements.

RNT May 2019

Date: May 9, 2019

Time: 10.30am-11.30am

Location: Innovation Central Perth, Building 216 level 2

RNT May 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO

CIC seminar April 16 2019

Date: April 16, 2019

Time: 1:00pm-2:30pm

Location: Think Space, Building 103 Room 109, Bentley Campus, Curtin University

|

CIC seminar April 16 2019

Overview of the United States Air Force Office of Scientific Research

Presented by Dr Peter Friedland

Abstract:

The Air Force Office of Scientific Research (AFOSR), a part of the Air Force Research Laboratory (AFRL), is the basic research manager for the United States Air Force. In this presentation, Dr Friedland will give an overview of AFOSR including its research areas of interest and its programs through which international researchers can interact with AFOSR and AFRL. In particular, Dr Friedland will highlight several of the major research partnerships they have in place with Australian scientists in computer and cognitive science, including a joint program with Australian Defence Science and Technology to fund research projects with coPIs in the US and Australia.

Bio:

Peter Friedland’s career has focused on interdisciplinary technology research, development, and application with substantial accomplishments in academia, industry, and government. He received his PhD in Computer Science from Stanford in 1980 for pioneering artificial intelligence research in the areas of planning, knowledge representation, and expert systems. He applied this work to the then emerging discipline of molecular genetics leading to the creation of a user community of several thousand academic and industrial scientists, and the funding of a NIH-sponsored National Research Resource, BIONET. He also co-founded two companies while at Stanford: IntelliGenetics, the first bioinformatics company, and Teknowledge, the first expert systems technology and training company. Both became public companies in the early 80’s. In 1987, Dr. Friedland joined NASA Ames Research Center to create what became the government’s largest and most highly-regarded Intelligent Systems R&D laboratory. The hallmark of the laboratory was the ability to simultaneously conduct state-of-the-art research while also fielding applications to all of the primary NASA missions and Centers. He left Ames in 1995 to form and lead his third company, Intraspect Software, an early knowledge management systems provider, employing 200 staff with sales of over $30M. Dr. Friedland rejoined Ames in 2003 as Chief Technologist where he supervised a wide range of technology development activities in emerging areas like nanotechnology. He also chaired several NASA-wide committees and studies in such areas as core competencies for NASA Centers and technology transition from basic research to fielded applications. He is now an independent technology strategist and consultant with a majority of his time spent as a scientific advisor to the Air Force Office of Scientific Research (AFOSR). His specific areas of emphasis for AFOSR are strategy and tactics for international research investments in all disciplines, and creation of new programs in computer and cognitive science. Dr. Friedland is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and a recipient of the NASA Outstanding Leadership Medal, the AAAI Distinguished Service Award, and the Feigenbaum International Medal for Expert Systems Applications.

Includes networking opportunity and afternoon tea.

RNT April 2019

Date: April 11, 2019

Time: 10.30am-11.30am

Location: Innovation Central Perth, Building 216 level 2

RNT April 2019

Our monthly Research Networking Tea (RNT) offers a great opportunity for researchers to hear about updates and news relating to the CIC while enjoying a spread of cakes and healthy snacks. The RNT is also regularly joined by Innovation Central staff and visitors from e.g. CSIRO