Welcome to Postdoctoral Research Fellow, Lei Han

Welcome to Dr Lei Han who joins CIRES as a Postdoctoral Research Fellow at The University of Queensland.

Lei joined the Centre in April 2023 and his passion lies in developing innovative solutions in the field of Data Science, with a particular interest in Crowdsourcing and Human Computation. He received his PhD from The University of Queensland in 2021, and was a postdoctoral research fellow at School of ITEE before joining CIRES. He will work closely with Associate Professor Gianluca Demartini and Professor Shazia Sadiq.

Lei is excited about the prospect of collaborating with colleagues who possess diverse backgrounds and areas of expertise across the Centre. He believes that such collaborations have the potential to drive valuable advances in Human-in-the-loop Artificial Intelligence. By working together, sharing knowledge and resources, and leveraging different perspectives, he is confident that they can develop innovative solutions to complex problems and make significant contributions to the field.

Welcome Lei!

Welcome to PhD Researcher, Jorge Retamales

We’d like to welcome Jorge Retamales to CIRES! Jorge has joined the Centre as a PhD Researcher in April 2023 and is based at The University of Queensland. He holds a Masters Degree in Information Management from the University of Washington. He has extensive working experience in Analytics, with his previous role as Head of Statistics for JUNJI in Chile, a government department in the early education sector.  Jorge’s PhD project “Developing Analytics-Driven Organisations” is a collaboration with business partner Aginic and supervised by Dr. Ida Asadi Someh, Professor Marta Indulska, and Emma Freya (Aginic).

He is excited about helping organizations effectively use their data products and capabilities for value creation, through collaborating with colleagues and CIRES industry partners.

Welcome Jorge!

PhD Scholarship – Allianz Worldwide Partners Australia

Applications closed 21st June 2023.

 

PhD Scholarship at UQ with Allianz Worldwide Partners Australia

Value Measurement of Data Products
Full details and how to apply

Another excellent PhD scholarship opportunity at The University of Queensland! Applications are now open for our Value Measurement of Data Products project, working with Dr Rocky Tong Chen, Dr Wen Hua, Professor Shazia Sadiq, Shane Downey MPhil, and Charon Abbott in collaboration with our industry partner Allianz Partners.

This project will challenge and extend the current body of knowledge on value of data products including computation, human effort and perceived value, and deliver a domain-agnostic framework that will build business capacity on informing and prioritising data science projects.

We are looking for someone with a good understanding of concepts from data science, business process, applied statistics, numerical linear algebra, and machine learning. This project also requires proficiency in Python programming language and machine learning software packages, as well as experience in data processing and data analysis.

You’ll gain real-world experience during your PhD and undertake the equivalent of a 12-month placement with Allianz.

Applications close 21st June 2023.

For full details and how to apply: https://lnkd.in/gMdt33WS

In collaboration with global insurance company, Allianz Worldwide Partners (AWP) Australia, this project will challenge and extend the current body of knowledge on value of data products including computation, human effort and perceived value, and deliver a domain-agnostic framework that will build business capacity on informing and prioritising data science projects. This project focuses on how to maximise data-driven value creation and capture and is one of two CIRES projects with AWP Australia related to organisational and transformational aspects of data, algorithms, and AI.

For this position, the successful candidate is expected to have a good understanding of concepts from data science, business process, applied statistics, numerical linear algebra, and machine learning. This project also requires proficiency in Python programming language and machine learning software packages, as well as experience in data processing and data analysis.

About the scholarship

  • An ARC Stipend Scholarship, tax exempt and indexed annually, $36,161 per annum and top-up scholarship from $5,000 per annum, for 3.5 years, as well as a minimum $5,000 per annum in project support funds
  • For international students, you will also receive a UQ Tuition Fee Waiver Scholarship
  • The opportunity to work at one of Australia’s leading research and teaching institutions, The University of Queensland
  • Real-world experience as you undertake a one-year (equivalent) placement with the industry partner or government partner
  • The opportunity to be part of the ARC Training Centre for Information Resilience (CIRES) under the leadership of renowned computer scientist Professor Shazia Sadiq

 

 

 

Welcome to PhD Researcher, Hongliang Ni

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!

PhD Scholarship – Queensland Department of Education

Applications closed 16th May 2023.

 


PhD Scholarship at UQ with the Queensland Department of Education

On-demand Dataset Builder

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 TomaszewskiProfessor 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

  • An ARC Stipend Scholarship, tax exempt and indexed annually, $36,161 per annum and top-up scholarship from $5,000 per annum, for 3.5 years, as well as a minimum $5,000 per annum in project support funds
  • For international students, you will also receive a UQ Tuition Fee Waiver Scholarship
  • The opportunity to work at one of Australia’s leading research and teaching institutions, The University of Queensland
  • Real-world experience as you undertake a one-year (equivalent) placement with the industry partner or government partner
  • The opportunity to be part of the ARC Training Centre for Information Resilience (CIRES) under the leadership of renowned computer scientist Professor Shazia Sadiq

Applications close 16th May 2023.

For full details and how to apply: https://lnkd.in/gD4npFr4

Welcome to PhD Researcher, Hrishi Patel

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!

Welcome to PhD Researcher, Pa Pa Khin

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!

Postdoctoral Research Fellow position at UQ

Applications closed 8th May 2023.

 


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:

  • Completion or near completion of a PhD in computer science or information technology fields
  • Demonstrated expert knowledge and experience in developing AI and machine learning methods
  • A track record of peer-reviewed publications in high-impact journals or premiere conferences relevant to responsible use of data and AISee the full position description and how to apply: https://lnkd.in/gktUKq-cApplications close monday 8th May 2023 at 11.00 pm AEST Apply at https://lnkd.in/g9mY9Asy or contact me directly for more information about the position.

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.

Apply now

Applications close Monday 8th May 2023 at 11pm AEST.

Call for Applications: 2023 Visiting Student Scheme

Applications are now open for the 2023 CIRES Visiting Student Scheme.

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:

  • AUD 5,000 for an 8 week visit, and,
  • AUD 6,000 for a 12 week visit.

Application materials

To apply, please provide the following, sent as one PDF file to the contact address (below).

  • A 1-2 page research proposal (in line with the proposed duration of stay), including clearly planned outcomes. Please indicate the linkage between the proposal and the research conducted by one or more members of CIRES. The proposed research should be of high quality, for example something that could be published at a top conference or journal.
  • A 1-2 page CV highlighting key achievements, plus a full publications list (for journal papers, please indicate the impact factor; for conference papers, please refer to http://portal.core.edu.au/conf-ranks/ to find the rank of the conference, if available).
  • Evidence that you have contacted at least one CIRES Chief Investigator and obtained their agreement to be your potential supervisor during your visit. Your research proposal should be reviewed and agreed by your potential local supervisor before submitting your application.
  • A draft budget of the expected costs and required funding.
  • Separately, as a final step, your supervisor must provide a letter of support, emailed directly to the contact address (below), including details of the provided co-funding. Please note that an application will not be considered complete until such a letter is received.

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 

ATSE #FellowFriday featuring Professor Shazia Sadiq

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.

2022 Australian Awards for University Teaching

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 Postdoctoral Research Fellow, Dr Hui Yin

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!

The Web Conf 2023 – Accepted Paper from CIRES

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 Visiting PhD Researcher, Catherine Sai

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!

Welcome to PhD Researcher, Muhammed Elyas Meguellati

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 to Postdoctoral Research Fellow, Dr Junliang Yu

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.

CIRES CI Dr Hassan Khosravi wins UQ Staff Excellence Award

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.

Information Governance and Management Survey 2022-23

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.

PhD Scholarships at UQ in 2023

Applications closed 15 January 2023.

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

  • An ARC Stipend Scholarship, tax exempt and indexed annually, $34,938 per annum and top-up scholarship from $5,000 per annum, for 3.5 years, as well as a minimum $5,000 per annum in project support funds
  • For international students, you will also receive a UQ Tuition Fee Waiver Scholarship
  • The opportunity to work at one of Australia’s leading research and teaching institutions, The University of Queensland
  • Real-world experience as you undertake a one-year (equivalent) placement with the industry partner or government partner
  • The opportunity to be part of the ARC Training Centre for Information Resilience (CIRES) under the leadership of renowned computer scientist Professor Shazia Sadiq