We’d like to welcome Hongliang Ni to CIRES! Hongliang is a PhD researcher based The University of Queensland. Her PhD project “Bias Mitigation in Human in the Loop Decision Systems” is a collaboration with CIRES partner Queensland Police Service, and supervised by Associate Professor Gianluca Demartini, Professor Shazia Sadiq, and Nick Moss (Queensland Police Service). Hongliang’s research interests include human-in-the-loop methods and graph neural networks.
Welcome Hongliang!
This project will develop a prototype system to showcase the scalability, reliability, and usability of an AI-assisted dataset builder for effective and efficient discovery and curation of multi-source and multi-modal educational data. Working in close collaboration with domain experts and end users from the Queensland Department of Education, the project team will review and investigate best practices for constructing on-demand data sets and the concept of “data as a service”. The project will also develop new methods for AI-assisted on-demand dataset builder and will evaluate with a human-centred lens. The research will result in validated methods and a prototype implementation of the system, road-tested with end users.
The advisory team for this project is Associate Professor Hassan Khosravi (Principal Advisor), Associate Professor Wojtek Tomaszewski, Professor Shazia Sadiq (Associate Advisors), and Dr Angela Ferguson (Queensland Department of Education).
For this position, CIRES is seeking a candidate with a good background in data science, data analytics, or machine learning; and proficiency in python programming language and machine learning software packages such as Pytorch. Track record of publishing high-quality conference or journal paper and experience working with and ingesting structured and unstructured date from multiple sources are desirable.
About the scholarship
Applications close 16th May 2023.
For full details and how to apply: https://lnkd.in/gD4npFr4
We’d like to welcome Hrishi Patel to CIRES! Hrishi is a PhD researcher based at The University of Queensland. He will be working on the “Expanding Data Sets to Allow Improved Critical Care for Children – Outpatient Risk Prediction” in collaboration with our government partner Queensland Health, partner investigator Dr Adam Irwin, Dr Sen Wang, and Professor Shazia Sadiq.
Hrishi has a Masters of Data Science from UQ, and a keen interest in machine learning, learning analytics, and data science teaching. Welcome Hrishi!
We’d like to welcome Pa Pa Khin to CIRES! Pa Pa is a PhD researcher based at Swinburne University of Technology. Her PhD project “Curating Systems of Engagement” is a collaboration with partner Astral Consulting, and supervised by Dr Paul Scifleet, Associate Professor Amir Aryani, and Marie Felsbourg (Astral Consulting). Pa Pa’s research interests include Enterprise Information Management, Systems of Engagement, and Knowledge Management Systems.
Welcome Pa Pa!
We are recruiting for a Level A postdoc fellow to join us in the ARC Training Centre for Information Resilience (CIRES) at The University of Queensland in sunny Brisbane, Australia. International candidates are also welcome to apply as Visa sponsorship may be available for this appointment.
As a key member of the team, you will have the opportunity to conduct innovative and reproducible research related to responsible use of data and human-centred Artificial Intelligence. You will also have the chance to supervise and develop research students, cultivate external partnerships, and contribute to the wider academic community.
This position will involve working closely with Associate Professor Hassan Khosravi, and other Centre researchers working on topics related to responsible use of data.
We are seeking a candidate with:
This position will be based in the Australian Research Council (ARC) Industrial Transformation Training Centre for Information Resilience (CIRES) at UQ, and working across multiple projects with industry and government partners, providing a wealth of experience in multi-disciplinary teams, research planning, and industry and public sector dynamics. The successful candidate will have the opportunity to work directly with the Centre’s partners, with an expected third of their time dedicated to working with partner organisations.
Applications close Monday 8th May 2023 at 11pm AEST.
This scheme will support high calibre research students for 8-12 weeks term visits to the ARC Training Centre for Information Resilience (CIRES) at The University of Queensland, and provides the opportunity to conduct joint research work on areas of mutual interest.
Successful applicants will be provided with a lump-sum to partially cover living costs in and return airfares to Brisbane.
Application Deadlines for 2023
March 22, 2023, 23:59, Anywhere on Earth.
June 22, 2023, 223:59, Anywhere on Earth.
September 22, 2023, 23:59, Anywhere on Earth.
Eligibility
1. The scheme is primarily intended for PhD students (who have already passed their Qualification Exam at their respective university). We may also accept Master’s/Bachelor students who can demonstrate strong research & development expertise to the assessment panel.
2. Your main research expertise should generally fit in the area of data science and in particular should align with the research specialisations of the CIRES centre investigators at UQ (https://cires.org.au/people/) as well as with the interests of centre industry and government partners (see current projects https://cires.org.au/research/projects/).
3. Partial co-funding from your own institution.
4. CIRES will offer funding of:
Application materials
To apply, please provide the following, sent as one PDF file to the contact address (below).
Review process
The Centre’s review panel will consider applications and aim to provide a decision within 14 business days (unless specified otherwise) following the application deadline.
Contact details
All information should be sent in an email with the subject “CIRES Visiting Student Scheme” to cires@uq.edu.au, copied to the proposed UQ-based
collaborator and your current supervisor.
If you have any questions about the scheme, please contact the Centre via cires@uq.edu.au
On 5 March, CIRES CI, A/Prof Gianluca Demartini spoke with Spencer Howson at Radio 4BC about the work CIRES is undertaking on social media platform algorithms and how harmful online content and fake news should be managed.
CIRES Centre Director Professor Shazia Sadiq was featured in the Australian Academy of Technological Sciences & Engineering’s (ATSE) Fellow Friday series. In this piece, “Preparing for the future of AI” Shazia outlines three priorities that will enable us at an individual and societal level, to fully harness the potential of generative AI. These are: Training for quality; Addressing the skills shortage; and Making AI accessible. Read the full feature here.
Congratulations to our CIRES Chief Investigator and Theme Leader Associate Professor Hassan Khosravi and The RiPPLE Team, for their Citation for Outstanding Contributions to Student Learning, which was recognised at the recent AAUT awards!
The team designed and implemented, an innovative adaptive educational system that transforms student learning into an active, social and personalised experience.
Three other UQ teachers were recognised, meaning UQ remains the most awarded university through the AAUT scheme. Read more: http://bit.ly/3IPlCvS
Welcome to Dr Hui Yin who joins CIRES as our first Postdoctoral Research Fellow at Swinburne University of Technology.
Hui’s research focus includes natural language processing, ai, machinelearning, and data mining, with an emphasis on online social media text mining. Hui received her PhD in Data Science from Deakin University in June 2022, and was a research fellow with Deakin before joining CIRES. She will work closely with Chief Investigator Associate Professor Amir Aryani, and joins our Swinburne colleagues Paul Scifleet, Chengfei Liu, Steve Petrie, and Lufan Zhang. She is looking forward to collaborating with CIRES partners and researchers across the Centre.
Welcome Hui!
Full paper “Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency” by Shaochen Yu, Lei Han, Marta Indulska, Shazia Sadiq and Gianluca Demartini accepted at TheWebConf WWW2023
We propose a novel hybrid human-machine system that leverages crowdsourcing to address syntactic format inconsistencies in an effective and cost-efficient way. We first ask crowd workers to select training examples for our inference algorithm through data selection and result validation. Then, we propose and make use of a novel rule-based learning algorithm to infer the regular expression that works for the format consistency issues in a given structured dataset. In this way, we are able to apply the created regular expression to the entire dataset to find more consistency issues. Having experts writing regular expressions is no longer required.
Welcome to Catherine Sai (Kate) who has joined CIRES for two months as a visiting PhD researcher from the Technical University of Munich. Kate has a Masters in Industrial Engineering from Karlsruhe Institute of Technology (KIT), and four years industry experience, including working as a Cognitive Computing Consultant and Data Scientist.
She is focused on data driven business process improvement, and her PhD topic focuses on the automatic identification, extraction, and in-depth comparison of process requirements from complex texts with a business actual process. During her time at CIRES, Kate will work with Associate Professor Gianluca Demartini and Professor Shazia Sadiq on a project involving the automated identification or relevant (textual) requirements based on a business process.
Kate’s excited to join forces across research institutions and countries, and is looking forward to collaborating with CIRES partners and researchers across the Centre.
Welcome Kate!
We’d like to welcome Muhammed Elyas Meguellati to CIRES! Elyas is a PhD researcher based at The University of Queensland. He will be working on the Customer Data Stories project in collaboration with our industry partner Allianz Worldwide Partners Australia, partner investigator Mr Shane Downey MPhil, Associate Professor Gianluca Demartini, and Professor Shazia Sadiq.
Elyas has a Masters Degree in applied computing from the University of Malaya, and his research interests include natural language processing and deeplearning. Welcome Elyas!!
Welcome back to 2023! We’d like to extend a very warm welcome to our first CIRES Postdoctoral Research Fellow, Junliang Yu!
Junliang is based at The University of Queensland and his work will particularly focus on dealing with data sparsity and noise problems in real-world datasets, and on promoting algorithmic transparency.
During his PhD, he published over 10 peer-reviewed papers in the most prestigious conferences including the Conference on Knowledge Discovery and Data Mining (KDD), World Wide Web (WWW), IEEE’s International Conference on Data Mining (ICDM), AAAI, the Conference on Information and Knowledge Management (CIKM), and journals including IEEE’s Transactions on Knowledge and Data Engineering (TDKE) and the International Journal on Very Large Data Bases (VLDBJ).
Junliang’s research interests are data mining and machine learning, with a particular focus on recommender systems, tiny machine learning, and self-supervised learning. He will work closely with Centre Director Professor Shazia Sadiq and CIRES Chief Investigator Associate Professor yin hongzhi.
Junliang is looking forward to building successful collaborative relationships across the Centre and making great contributions to CIRES.
Congratulations to CIRES CI, Dr Hassan Khosravi, whose work in developing the RiPPLE learning platform has received a commendation for innovation at The University of Queensland Staff Excellence Awards
The vision in developing RiPPLE has been to transform learning to be an active, social and personalised experience. Using RiPPLE, academics and students partner together to create pools of high-quality learning resources, which are used to recommend personalised content to students based on their mastery level. For more information on the platform please visit https://lnkd.in/gc75nZke
The RiPPLE project thanks the leadership teams in the UQ Institute for Teaching and Learning Innovation (ITaLI) and UQAI in UQ School of Information Technology and Electrical Engineering and in particular Karen Benson, Shazia Sadiq and Greg Winslett for their mentorship and continued support of the project.
Large cybersecurity breaches are showing the challenges ahead for Executives and Information management professionals.
Our colleagues at Swinburne University of Technology are actively engaged in industry and academic research in Information Governance (IG) and in collaboration with our partner organisation Astral invite participants for the Information Governance & Information Management Research Survey https://lnkd.in/gEWAWh3K. By participating in this survey business and government in Australia can benefit from this research to develop a better understanding of IG and and Information Management priorities on the ground.
To register your interest for future PhD projects, please email cires@uq.edu.au
More PhD scholarship opportunities with CIRES! We have two positions based at The University of Queensland. Applications close 15th January 2023.
Position 1 – Expanding Data Sets to Allow Improved Critical Care for Children – Inpatient Risk Prediction, working with Dr Sen WANG and experts from Queensland Health including Associate Professor Kristen Gibbons and Dr Adam Irwin. This project aims to provide a platform-independent decision support framework using an interpretable machinelearning approach for making effective risk predictions for paediatric patients at risk of sepsis.
Find out more and apply now: https://lnkd.in/gNSajJdg
Position 2 – Value Measurement of Data Products, working with Dr Wen Hua and global insurance company Allianz Partners Australia including partner investigator Shane Downey MPhil. This project focuses on how to maximise data driven value creation and capture, and the organisational and transformational aspects of data, algorithms, and ai. It aims to deliver a domain-agnostic framework that will build business capacity on informing and prioritising data science projects.
Find out more about this project and how to apply: https://lnkd.in/gMdt33WS
About the scholarship
Congratulations to our CIRES Centre Director Professor Shazia Sadiq on receiving a UQ Faculty Staff Excellence Award for Leadership!
Shazia has been a devoted lecturer for two decades, and an advocate for improving personalised learning and graduate outcomes. In 2012, she received an institutional award for teaching excellence and in 2016 she spearheaded the highly successful Master of Data Science program at UQ that is helping overcome skill shortages in Queensland for qualified data scientists. Shazia is also leading UQ’s AI Collaboratory, bringing together the research strengths of UQ experts spanning across several areas to present a strong portfolio of fundamental knowledge critical for the future of AI.
Shazia is passionate about the positive impact emerging technologies from data science, machine learning and artificial intelligence can have on our future. She advocates for responsible and ethical technology developments and believes strongly that these developments require trans-disciplinary collaborations between research, industry, government, and community.
As our CIRES Director, we truly appreciate Shazia’s vision in establishing the Centre, and her energy and enthusiasm for working collaboratively together to achieve great things.
To register your interest for future opportunities, please email cires@uq.edu.au
This is an exciting opportunity for a Postdoctoral Research Fellow to contribute to innovative research developments within data-driven value creation and transformation. Working with Centre Director Shazia Sadiq and Chief Investigators from the UQ Business School, Ida Asadi Someh, Marta Indulska, Andrew Burton-Jones, you’ll have the opportunity to work across multiple projects with industry and government partners, and gain valuable experience in working within multi-disciplinary teams.
This position will be based in the Australian Research Council (ARC) Industrial Transformation Training Centre for Information Resilience (CIRES) working across multiple projects with industry and government partners, providing a wealth of experience in multi-disciplinary teams, research planning, and industry and public sector dynamics. The successful candidate will have the opportunity to work directly with the Centre’s partners, with an expected third of their time dedicated to working with partner organisations.
This is a 2 year, full-time Academic Level A position, based in the Centre headquarters at the The University of Queensland‘s beautiful St Lucia Campus in Brisbane.
Applications close Monday 9th January 2023.
CIRES Centre Director Professor Shazia Sadiq from the UQ School of Information Technology and Electrical Engineering is a fellow of the Academy and joined stephen matchett from the Campus Morning Mail on the Expert Opinion podcast to discuss the Academy’s ideas on the importance of creating a skilled workforce in Australia, and how to address STEM skills shortages.
Read the full report here: https://lnkd.in/gyxUeTFR
