Congratulations to our 2024 Award Winners!

Three-Minute-Thesis Competition – Session A

First Place: Daniel Claassen, The University of Western Australia
Quantifying Mechanistic Model Uncertainty

Runner Up: Nardiena Pratama, The University of Queensland
Enhancing Breast Cancer Classification with LLM-Generated Textual Descriptions

People’s Choice: Fidan Karimova, The University of Queensland
Data As a Service Architecture

Three-Minute-Thesis Competition – Session B

First Place: Marcus Dyson, The University of Western Australia
Improving Forecasts of Imperfect Models using Piecewise Stochastic Processes

Runner Up: Niraj Yadav, Western Sydney University
Liquid gold: Human urine derived fertilizer

People’s Choice: Masoud Kamali, The University of Melbourne
Zero-Shot 3D Object Detection

Poster Session

First Place: Hrishi Patel, The University of Queensland
EMIT – Event-Based Masked Auto Encoding for Irregular Time Series

Runner Up: Lufan Zhang, Swinburne University of Technology
Enterprise Information Management from a Digital Forensics Perspective: Explainable AI for Enterprise Information Architecture

People’s Choice: Munia Ahamed, The University of Technology Sydney
Enhancing Seamless Manufacturing through Human-Cobot Collaboration: Optimizing Quality Assurance, Knowledge Transfer and Adoption Strategy

Who should attend the PhD School in 2024?

Are you an Australian-based PhD candidate, or planning to commence a PhD in Australia? Is data-driven analysis a major part of your research? In CIRES, we are pursuing the following goals concerning how data is acquired, managed, and utilised:

• Agility in value creation from data: To enable agile deployment of data driven solutions within IT landscapes and business processes; 
• Data curation at scale: To build new data curation methods through machine learning, crowd-sourcing and human-in-the-loop techniques to achieve data curation at scale; 
• Algorithmic transparency: To enable and promote interpretability, uncertainty quantification, unbiasedness, transparency and reproducibility into the design of learning algorithms; 
• Trusted data partnerships: To improve data literacy and trust in data linking in the wider community towards reducing barriers in data sharing and flow of knowledge; 
• Responsible use of data assets: To create and support capacity for responsible management of data assets through principled approaches to data governance, access and sharing. 

If any of our goals rings a bell, then the Information Resilience PhD School is the right place for you! The Information Resilience PhD School offers a 2.5-day program from 29 – 31 October at The University of Queensland for current or prospective PhD students interested in exploring and understanding cutting-edge data science practices, pathways towards academic or industry careers, and prospects of next-generation research in the field. The Information Resilience PhD School brings research students from Australian universities together with leading national and international researchers to enhance and invigorate research education, offering an opportunity to share and discuss research with both peers and mentors.  

What does the Information Resilience PhD School deliver?

Knowledge sharing and acquisition in data-driven research.

A series of interactive activities including keynotes, tutorials, panel discussions, workshops, and student driven 3MT and poster sessions.

Internationally renowned scholars will present techniques that enable, advance, and shape many research areas and applications today. These activities will cover the following topics (selectively listed):

• Data quality practices in the Age of AI
• Ultra-personalisation with big data
  
• The dos and don’ts with generative AI in data-drive research
• Industry engagement and entrepreneurship development
  
• The mind game between authors and reviewers in the publishing journey

Special Guest Speakers 

• Professor Felix Naumann, Hasso Plattner Institute (HPI), Germany
• Professor Lina Yao, Senior Principal Research Scientist, CSIRO’s Data61, & Conjoint Professor @ UNSW
• Professor Tim Kastelle, Director, Andrew N. Liveris Academy for Innovation and Leadership, UQ
• A/Prof Hassan Khosaravi, The University of Queensland
• Dr Xin Zheng, Griffith University
• Dr James Lewandowski-Cox, The University of Queensland Library
• With more to be announced.

Mentorship from both academia and industry

The Information Resilience PhD School will feature industry leaders and world-class researchers sharing their experience in digital transformation, stories of data-driven R&D practices, and visions on next-generation information technologies. The dedicated activities include:

• Special guest presentations
• Panel sessions hosted by industry leaders and academics
• Mentoring and advising on research and professional development
• Experience sharing by early-career researchers

Social networking

The Information Resilience PhD School offers opportunities to engage with guest speakers, build connections with peers with common research interests and establish interdisciplinary collaborations with experts across domains. Our social networking events include:

• Interactive poster and presentation sessions with awards
• Welcome Reception
• Banquet

Important Dates 

• 16th September 2024 Applications Due
• 20th September 2024 Successful Applicants Notified 
• 30th September 2024 Registration Deadline for successful applicants 
• 14th October 2024 Poster & 3MT Slide Deadline
• 29th-31st October 2024 Information Resilience PhD School 2024
  

What is CIRES?

Headquartered at The University of Queensland (UQ) in Brisbane, the ARC Centre for Information Resilience (CIRES) is built on strong foundations of responsible data science research, in collaboration with Swinburne University of Technology, and current partners Aginic, Astral Consulting, Allianz Worldwide Partners (AWP) Australia, Health & Wellbeing Queensland, Department of Education, Queensland Health, and the Queensland Police Service. The Centre brings together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets.

Watch the 2023 Highlights Video

The 2024 Information Resilience PhD School will be held at:

The University of Queensland
Brisbane

Getting to and around The University of Queensland

UQ Maps App

You may like to download the UQ Maps App which provides a detailed guide to and from locations around UQ St Lucia.

Transport & Parking

The St Lucia campus has two (2) main bus stations, the Lakes and UQ Chancellors Place. Please see our Public Transport Guide for more information on public transport options. If you are driving to campus, you can find information about parking at UQ on this website.

Banquet Directions

• Directions from PhD School room 47a-241 to UQ St Lucia City Cat Ferry Terminal.
• City Cat Ferry stops from UQ to Howard Smith Wharves.
• Directions from Howard Smith Wharves Ferry Terminal to Ciao Papi Restaurant.

Program Below, or Link to PDF

Link to 3MT Sessions Presentation Order

• Professor Felix Naumann

  Hasso Plattner Institute (HPI), Germany

  Keynote: Data Quality Practices in the Age of AI

   

  Felix Naumann studied mathematics, economy, and computer sciences at the University of Technology in Berlin and completed his PhD thesis in the area of data quality at Humboldt University of Berlin in 2000. After a PostDoc position at the IBM Almaden Research Center working on data integration topics, he became assistant professor for information integration, again at the Humboldt-University of Berlin in 2003. Since 2006 he holds the chair for Information Systems at the Hasso Plattner Institute (HPI) at the University of Potsdam in Germany. He has been visiting researcher at QCRI, AT&T Research, IBM Research, SAP, and now UQ. His research interests include data profiling, data quality and cleansing, and data integration, recorded in over 250 scientific publications. Next to numerous PC memberships for international conferences, he has organized several conferences in various roles, including VLDB 2021 as PC co-chair, and he is the Editor-in-Chief of the ACM Journal of Data and Information Quality (JDIQ). More details are at https://hpi.de/naumann/people/felix-naumann.html.

• Professor Lina Yao

  CSIRO Data61 & University of New South Wales

  Keynote: Towards Agentic Recommender Systems in the Era of LLMs
  

   

  Abstract. This talk explores the transformative impact of Large Language Models (LLMs) on the evolution of recommender systems, driving the emergence of agentic recommender systems. These cutting-edge systems function as autonomous, intelligent agents that harness the sophisticated capabilities of LLMs to continuously learn and evolve from user interactions. By delving into the latest advancements, this presentation will demonstrate how LLM-driven agents are revolutionizing user engagement and setting new standards for personalized experiences in recommender systems.

  Professor Lina Yao is a Senior Principal Research Scientist and Science Lead at CSIRO’s Data61, alongside her academic role as a Conjoint Professor at the University of New South Wales. Her research endeavours are deeply rooted in the development of generalizable, transparent, and data-efficient methodologies within the domains of data mining and deep learning. One of her specialized focuses is recommender systems, where she strives to address challenges of data scarcity, interoperability, and complexity of human behaviours. Her research delves into understanding the temporal and contextual nuances of human interactions and diverse feedback with digital platforms, enabling the development of recommendation models that perform effectively and evolve in tandem with user needs and societal trends.

• Professor Andrew Burton-Jones

  Future of Health Research Hub Lead & Professor, UQ Business School, The University of Queensland

  Writing Workshop: Reviewing and Responding to Reviewers’ Comments
  

   

  Professor Andrew Burton-Jones graduated from UQ’s Commerce program in 1998 and worked for several years in IT risk management for one of the Big-4 accounting/consulting firms. He then moved to Georgia State University in Atlanta, USA, to complete his Ph.D., followed by seven years at the University of British Columbia in Vancouver, Canada, where he became a tenured Associate Professor. He returned to UQ in May 2012.

  Andrew has extensive experience teaching IT governance and control, systems analysis and design, and digital health. He undertakes research in three areas. His first area focuses on how effectively organisations use IT. For example, he has been studying the effective use of electronic health records in health authorities. His second research area focused on improving methods to analyse and design IT systems. For example, he has examined ways to improve the specification of user requirements. His third research stream focuses on improving theories and methods used by researchers in the Information Systems discipline.

  He has published in and served on the editorial boards of many journals, including the Journal of the Association for Information Systems, Information Systems Research, MIS Quarterly, Information and Organization, and Academy of Management Discoveries. He has also served as Representative for the Americas for the Association of Information Systems and as International Representative for the Academy of Management (OCIS/CTO Division). He is a Fellow of the Association for Information Systems, Fellow of the Academy of Social Sciences of Australia, and Editor-in-Chief of MIS Quarterly (2021-2023).

• Professor Tim Kastelle

  Andrew N. Liveris Academy for Innovation and Leadership, The University of Queensland

  Presentation: Industry engagement and entrepreneurship development

   

  Tim Kastelle is Professor and Director of the Andrew N. Liveris Academy for Innovation and Leadership. The Academy’s mission is educating students with demonstrated leadership prowess, a passion for sustainability and the potential to solve problems through large-scale innovation, with the Academy also taking leadership in sustainability and innovation both locally and globally. Tim’s research, teaching and engagement work are all based on his study of innovation management. He graduated from Princeton University with a degree in economics, and his MBA and PhD were completed at UQ. He has published widely in the leading innovation journals.

  Tim is deeply committed to translating research into practice to help people and organisations create value from ideas. To this end, he writes a well-regarded innovation blog for managers and he has worked to develop innovation and leadership programs in collaboration with a wide range of organisations, such as the Commonwealth Science & Industrial Research Organisation, CSR, Meat & Livestock Australia, Teys Australia, Logan City Council, and Metro South Health.

• Dr Aneesha Bakharia

  Principal Practitioner – AI in Education, School of Electrical Engineering and Computer Science, The University of Queensland

  Technical Tutorial: LLMs for Science, Education & Interactive Apps
  

   

  Dr Aneesha Bakharia began her journey as an electronics engineer before pivoting to a career in educational software development. Her diverse experience spans across the higher education and vocational education sectors, where she has excelled in various technical, innovation project management and learning analytics roles. As an early experimenter with generative AI, Aneesha pioneered the creation of a graphic novel using AI and explored the world of chatbot prompt engineering, demonstrating her commitment to pushing the boundaries of technology.

  Currently employed at The University of Queensland, Aneesha is a Senior Lecturer in the School of Electrical Engineering and Computer Science. She was previously the Senior Manager of Learning Analytics at The University of Queensland. Her educational background includes a Bachelor’s in Microelectronic Engineering and a Master’s in Digital Design, both from Griffith University. Aneesha’s fascination with machine learning in 2010 led her to pursue a PhD in automated content analysis at Queensland University of Technology. A prolific author, Aneesha has written 9 books on programming and web development, sharing her knowledge and passion with a wider audience.

• Dr Xin Zheng

  School of Information and Communication Technology, Griffith University

  Technical Tutorial: Automating Graph Machine Learning Workflows: A Data-Centric Perspective
  

   

  Abstract: Graph neural networks (GNNs) have demonstrated a powerful ability to model and utilize graph-structured data across a wide range of real-world applications. To maximize their potential, a robust and automated workflow is essential, integrating both data-level and model-level components to support a broad spectrum of graph learning tasks.

  This tutorial explores the systematic workflow of Automated Graph Machine Learning Operations (Auto-GMLOps), focusing on three pivotal stages: (1) graph data engineering, (2) automated GNN model design, and (3) GNN model deployment, where we will dive deeply into the first and third stages in this tutorial for a graph data-centric perspective. The objective is to address the challenges of developing and deploying production-ready GNNs, ensuring practical and effective graph learning solutions.

  This Auto-GMLOps workflow not only enhances the analysis and understanding of diverse and complex graph data but also supports the creation and deployment of high-performing GNNs in various real-world scenarios.

  Xin Zheng is currently a Lecturer in the School of Information and Communication Technology at Griffith University, Australia. She completed her Ph.D. degree in the Faculty of Information Technology at Monash University, Australia, in April 2024. She earned her Bachelor’s and Master’s degrees from Dalian University of Technology in 2017 and 2020, respectively.

  Xin’s research focuses on Data-centric Machine Learning and Automated Graph MLOps, with a particular emphasis on Graph Neural Networks. Her work has been featured in prestigious journals and conferences, such as IJCV, PR, NeurIPS, ICLR, ICDM, and WWW, etc. She was also a recipient of the 2024 Postgraduate Publications Award from Monash University.

• Associate Professor Hassan Khosravi

  School of Electrical Engineering & Computer Science, The University of Queensland

  Interactive Session: Information Resilience Escape Room
  

   

  Dr Hassan Khosravi, CIRES Chief Investigator and Theme Leader, is an Associate Professor in Data Science and Learning Analytics at The University of Queensland. As a computer scientist by training, he is passionate about the role of artificial intelligence in the future of education. In his research, he draws on theoretical insights driven from the learning sciences and exemplary techniques from the fields of human-centred AI and crowdsourcing to build technological solutions that enhance student learning and experience. His past research and publications have addressed a number of diverse topics such as learning graphical models, statistical-relational learning, social network analysis, cybersecurity and game theory.

  Hassan’s teaching career includes coordinating 30 different offerings with class sizes ranging from 50 to 700, in 10 distinct courses to a total of approximately 7000 students at three top-ranked institutions: Simon Fraser University (SFU) and The University of British Columbia (UBC) in Canada, and The University of Queensland (UQ) in Australia. He has taught a range of courses including introductory programming courses, data structures and algorithms, artificial intelligence, database management systems as well as graduate-level data science courses. he also leads and teaches into a variety of formal and programs that mentor and foster the next generation of great teachers. These programs cover a wide variety of topics, including student-centred learning, active learning tools and strategies, supporting assessment design and delivery at scale, and enhancing teaching with learning analytics.

  Hassan holds a Senior Fellowship with the Higher Education Academy, which has been awarded in recognition of his contributions to effective approaches to teaching and learning as well as successful coordination, support, supervision, management and mentoring of others in relation to learning and teaching.

• Dr James Lewandowski-Cox

  UQ Copyright Officer, Office of the University Librarian, The University of Queensland

  Interactive Session: Copyright and Gen AI

   

  About: In this session we’ll talk about a few key issues in relation to copyright and Gen AI. Although Gen AI is a fast-moving area, copyright law isn’t – this can cause some problems. Bring your questions!

  James Lewandowski-Cox is a researcher in global Hip Hop studies, with a particular focus on Hip Hop in Australia and New Zealand. James completed his PhD in 2017 and currently works at The University of Queensland as the University’s Copyright Officer

• Rakalene Condon

  Group General Manager - Strategy & Governance, TechnologyOne

  Panel: Choose Your Own Adventure – Research Careers in Industry

   

  Rakalene Condon has a reputation as an innovative product and technology leader, developed over her more than 25 years in this space.  She is passionate about the power we have to change the world, both professionally and in our personal lives. At TechnologyOne, Rakalene leads the Strategy & Governance function within the product and technology division, R&D, including responsibility for Enterprise Architecture, Security & Compliance, and User Experience across the TechnologyOne ERP.   Before joining TechnologyOne, Rakalene was Head of Product for a supply-chain transparency start-up; and before that she held roles including Executive for Strategy, Performance and Operations, and Chief Technology Officer at CoreLogic International, responsible for delivery across Australia, New Zealand and the UK.

  Rakalene’s accolades are impressive, including having won a women in product award for innovative product-management. She holds a Master of Business Administration (MBA) from the Australian Graduate School of Management (AGSM); and a Bachelor of Arts (Computer Science, Japanese) and Bachelor of Business (Information Systems) from the University of Queensland.

  She firmly believes that a great team and a compelling story are key to creating market-leading solutions. Previous colleagues would say she has a knack for translating technical things and explaining them in a way that makes sense to everyone.

  In her spare time, Rakalene enjoys riding her bike with the wind in her hair or camping with her family.

• Lawrence Kusz

  Founder, Chatstat

  Panel: Choose Your Own Adventure – Research Careers in Industry

   

  Lawrence is the Founder and Managing Director of Chatstat, an AI platform dedicated to protecting youth mental health from online risks like cyberbullying and self-harm. Under his leadership, Chatstat has supported over 28,000 young Australians and recently expanded into government partnerships to address workplace psychosocial hazards. This year, he was named Social Traders Social Enterprise Pioneer of the Year.

• Dr Julien Monteil

  Manager, Applied Science, Amazon

  Panel: Choose Your Own Adventure – Research Careers in Industry

   

  Julien Monteil is an Applied Science Manager leading the Recommender Systems Team at Amazon Machine Learning Australia. Prior to that, he was a senior scientist at Amazon Machine Learning, a research scientist at AWS Networking, a research staff member at IBM Research, a postdoctoral researcher at Trinity College Dublin, and a visiting researcher at University of California at Berkeley. He has authored over 50 papers and 20 patents in various fields of research including recommender systems, transportation, machine learning and control, and has contributed to the launch of dozens of ML systems at Amazon, AWS, and IBM. He holds a PhD in Applied Mathematics from Université de Lyon in France.

• Dr Solmaz Abdi

  Senior Data Scientist, Australian Energy Market Operator (AEMO)

  Panel: Career Development – Advice from Experienced Young Researchers

   

  Solmaz Abdi is a Senior data scientist at the Australian Energy Market Operator with a Ph.D. in Computer Science from The University of Queensland. Her experience spans across different disciplines including educational technology and the energy sectors. Currently at the Australian Energy Market Operator, she directs the creation of electricity and gas demand forecasts for the National Electricity Market. Previously, Solmaz was in charge of learning analytics at The University of Queensland, focusing on initiatives that used data to enhance educational outcomes. Solmaz has a strong research background at the intersection of education and machine learning, including adaptive learning systems, recommender systems for educational applications, and the development of predictive models that enhance learner engagement and performance.

• Kim Bente

  The University of Sydney

  Panel: Career Development – Advice from Experienced Young Researchers

   

  Kim Bente is a PhD student in the School of Computer Science at The University of Sydney, Australia, where she develops probabilistic machine learning models for geoscience and climate applications. Throughout her candidature, she has focused on applications of kernel methods to the Antarctic ice sheet, including super-resolution of Antarctica’s subglacial bed topography, spatio-temporal modelling of ice loss, efficient sensor placement, and inferring causality from ice core data. Her research leverages uncertainty-aware methods like Gaussian Processes, Bayesian Optimisation or Neural Processes. Kim’s research interests include geospatial modeling, remote sensing, transfer learning, Bayesian methods, and diffusion models.

  She is supervised by Professor Fabio Ramos (NVIDIA and University of Sydney) and Associate Professor Roman Marchant (The University of Technology Sydney). Kim is also is a member of the ARC Industrial Transformation Training Centre for Data Analytics for Resources and Environments (DARE) and a proud co-founder of ML4Cryo (machine learning for the cryosphere).

• Dr Lei Han

  Queensland Police Service

  Panel: Career Development – Advice from Experienced Young Researchers

   

  Dr. Lei Han is a Senior Statistical Data Analyst at Queensland Police Service (QPS), where he leverages data science techniques to optimise decision-making outcomes. He received his PhD from The University of Queensland (UQ) in 2021, where he also worked as a Postdoctoral Research Fellow. During his time at (UQ), he was actively involved in both the School of EECS and the centre of CIRES.

  His research focused on human computation and involved designing systems that utilised crowd-sourced data to tackle real-world challenges. This included developing human-machine hybrid systems where humans assist machines while also benefiting from machine insights.

  Now at QPS, Dr. Han combines his academic background with practical experience to bridge the gap between research and industry needs, translating innovative findings into actionable insights. He continues to explore ways to apply data science to solve complex industry problems.

• Dr Rocky Chen

  CIRES PhD School Chair, The University of Queensland

  Welcome from the CIRES PhD School Chair

   

  Dr Rocky Tong Chen is the Chair of the 2024 Information Resilience PhD School, and CIRES Chief Investigator. He is currently a Senior Lecturer and ARC DECRA Fellow with the Data Science Group at The University of Queensland. He received his PhD degree in Computer Science from The University of Queensland in 2020. His research is focused on developing accurate, efficient, and trustworthy data mining solutions to discover actionable patterns and intelligence from large-scale user data to facilitate prediction and recommendation in a wide range of domains. To date, he has published 70+ peer-reviewed papers in the most prestigious conferences (e.g., KDD, SIGIR, WWW, ICDM, ICDE, AAAI and IJCAI) and journals (e.g., VLDBJ, IEEE TKDE, IEEE TNNLS, ACM TOIS and WWWJ). His publications have won 3 Best Paper Awards, 1 Best Paper Nomination, and 2 Travel Awards.

• Professor Shazia Sadiq

  Centre Director, ARC ITTC for Information Resilience, The University of Queensland

  Opening address: Introduction to CIRES and the PhD School

   

  Professor Shazia Sadiq is the CIRES Centre Director and a research and education leader in data science at The University of Queensland. Her research track record has focused on overcoming challenges that stem from disparate IT systems and result in information silos, and she has developed new methods that to tackle these challenges through integrated solutions for information quality and effective use. 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 the responsible and ethical technology developments and believe strongly that these developments require trans-disciplinary collaborations between research, industry, government and community.

• Professor Virginia Slaughter

  Dean, Graduate School, The University of Queensland

  Overview: The evolving landscape and importance of PhD training in Australia across all research domains
  

   

  Virginia Slaughter is Professor of Psychology at The University of Queensland, Australia, where she founded the Early Cognitive Development Centre. Her research focuses on social and cognitive development in infants and young children, with particular emphasis on social behaviour in infancy, theory-of-mind development and the acquisition of peer interaction skills. She is a Fellow of the Academy of the Social Sciences in Australia and a Fellow of the Association for Psychological Science.

Getting to and around The University of Queensland

UQ Maps App

Here is some information that will be helpful for visiting the St Lucia campus. You may like to download the UQ Maps App which provides a detailed guide to and from locations around UQ St Lucia.

Transport & Parking

The St Lucia campus has two (2) main bus stations, the Lakes and UQ Chancellors Place. Please see our Public Transport Guide for more information on public transport options. If you are driving to campus, you can find information about parking at UQ on this website.

Accommodation Options

There is easy and quick bus transport to UQ from suburbs like Brisbane CBD, South Bank, South Brisbane, West End, Highgate Hill, Hill End, Dutton Park and Woolloongabba. Recommended properties below:

• Oaks Apartments
• Riverside Hotel Southbank
• Amora Hotel Brisbane
• Hope Street Apartments South Brisbane
• Soda Apartments South Brisbane
• voco Brisbane City Centre

There are also properties in the St Lucia area which require 15-30 minute walk to reach to bus services to UQ:

• Jephson Hotel, Toowong
• Toowong Villas
• Essence Suites Taringa

Reimbursement

We will only reimburse accommodation nights in this date range: Sunday 27 October to Thursday 31 October.

To be able to reimburse you for your accommodation cost, you need to be able to provide a tax invoice showing the hotel’s name, address and ABN, and whether GST has been charged or not. Unfortunately, booking confirmations through online booking tools like booking.com are not acceptable for reimbursement. As much as possible, please book directly with the hotel so you can get an acceptable tax invoice on check out.

3MT Presentation Instructions

During the PhD School, you will present a 3 minute roundup of your research. There will be prizes for the Best 3 Minutes Presentations.

Email your 3MT slide in PPTX format to bigk@uq.edu.au by Monday 14 October.

3MT slide template options

Here are links to two PPTX template options. Choose BLUE or GOLD or you’re welcome to use your own design.

Preparation instructions

• One single static PPTX slide only;
• Your slide will be displayed from the beginning of your oration;
• No slide transitions, or animations;
• No additional electronic media (e.g. sound and video files) are permitted.
• Tips for effective design and use of the 3MT slide

Applications have now closed

DEADLINE: 16th September 2024 

The Information Resilience PhD School is an in-person event and open only to Australian based students. Capacity is limited to 50 attendees only. Attendees will be selected based on the relevance of their research backgrounds and interests to School topics. 

There is NO registration charge to attend the Information Resilience PhD School which will cover all event expenses including lunches and coffee breaks, and social networking activities. 

The Information Resilience PhD School is a participatory training event with attendees contributing to the program through research posters and 3MT presentations.

CIRES Travel Grants

You may indicate your interest to be considered for a CIRES Travel Grant via the online application form. Up to 25 x Travel Grants are available for Australian based students, who live outside Brisbane, to subsidise travel and 3 nights accommodation costs to attend the PhD School. The grants are worth up to a maximum of $1,000 and would be reimbursed based on receipts. 

ONLINE APPLICATION 

DEADLINE: 16th September 2024 

Important Dates 

• 16th September 2024 Applications Due
• 20th September 2024 Successful Applicants Notified 
• 30th September 2024 Registration Deadline for successful applicants 
• 14th October 2024 Poster & 3MT Slide Deadline
• 29th-31st October 2024 Information Resilience PhD School 2024

PROGRAM Dr Rocky Chen tong.chen@uq.edu.au

APPLICATIONS or TRAVEL GRANTS cires@uq.edu.au

ARC Training Centre for Information Resilience
The University of Queensland
Brisbane Qld 4072 Australia
E cires@uq.edu.au
W cires.org.au

2024 PhD School Photo Gallery

TBA: Watch the 2024 Highlights Video

TBA: 2024 Presentations on YouTube

• Professor Felix Naumann

  • Keynote Talk

  • Presentation Slides

• Professor Lina Yao

  • Keynote Talk

  • Presentation Slides

• Professor Andrew Burton-Jones

  • Writing Workshop

  • Presentation Slides

• Professor Tim Kastelle

  • Talk

  • Presentation Slides

• Dr Aneesha Bakharia

  • Technical Tutorial

  • Presentation Slides

• Dr Xin Zheng

  • Technical Tutorial

  • Presentation Slides

• Dr James Lewandowski-Cox

  • Talk

  • Presentation Slides

Panel Discussions

• Choose Your Own Adventure – Research Careers in Industry

• Career Development – Advice from Experienced Young Researchers

Seeking Project Data

• Impact of PhD Placements on Research Careers in Industry Presentation Slides
  

2024 Research Poster Gallery