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Pia is Geologist (Hons) from the University of Chile. She worked as a Geomet consultant in Chile before joining SMI as a PhD student. She holds an MSc degree where she studied the physicochemical impacts of gangue minerals in comminution chemical environment and during her PhD’s project she investigated the influence of different textural arrangements over the minimum breakage energy of altered granite rocks. She has experience in data processing, image analysis, geometallurgical modelling, geochemical modelling, samples-test selection for circuit optimisation. Currently, she is Research Office at SMI-JKMRC for the Advance Process Prediction and Control (APPCO) Program

Brian C. Lovell, born in Brisbane, Australia in 1960, received his BE in Electrical Engineering (Honours I) in 1982, BSc in Computer Science in 1983, and PhD in Signal Processing in 1991, all from the University of Queensland (UQ). Currently, he is the Project Leader of the Advanced Surveillance Group at UQ. Professor Lovell served as the President of the International Association of Pattern Recognition from 2008 to 2010, is a Senior Member of the IEEE, a Fellow of the IEAust, Fellow of the Asia-Pacific AI Association, and has been a voting member for Australia on the Governing Board of the International Association for Pattern Recognition since 1998.

He is an Honorary Professor at IIT Guwahati, India; an Associate Editor of the Pattern Recognition Journal; an Associate Editor-in-Chief of the Machine Learning Research Journal; a member of the IAPR TC4 on Biometrics; and a member of the Awards Committee and Education Committee of the IEEE Biometrics Council.

In addition, Professor Lovell has chaired and co-chaired numerous international conferences in the field of pattern recognition, including ICPR2008, ACPR2011, ICIP2013, ICPR2016, and ICPR2020. His Advanced Surveillance Group has collaborated with port, rail, and airport organizations, as well as several national and international agencies, to develop technology-based solutions for operational and security concerns.

His current research projects are in the fields of:

• Artificial Intelligence
• StyleGAN
• Stable Diffusion
• Deep Learning
• Biometrics
• Robust Face Recognition using Deep Learning
• Masked Face Recognition for COVID-19 Pandemic
• Adversarial Attacks on AI Systems
• Digital Pathology
• Neurofibroma Detection and Assessment
• Object Detection with Deep Learning

I am actively recruiting PhD students in Artificial Intelligence to work with my team. If you are interested and have a strong record from a good university, with a publication in a good conference such as CVPR, ICCV, ECCV, or MICCAI please send your CV to me. Full Scholarships (Tuition and Living) can be awarded within one month for truly exceptional candidates.

I am currently a lecturer at the University of Queensland, where I conduct research in the field of Information Retrieval. My research focuses on efficient and effective representations for large-scale search engines, including indexing, compression, and retrieval. I am also interested in understanding how to measure improvements in the end-to-end search pipeline, including system-oriented effectiveness measurements and user behaviour analysis. I have a broad interest in empirical experimentation, operating systems, data structures, and algorithms.

Previous Positions

• From February 2020 to January 2022 I worked as a postdoctoral research fellow on an ARC discovery project with Professor Alistair Moffat at the University of Melbourne.
• I completed my PhD at RMIT University under the guidance of Professor J. Shane Culpepper and Professor Falk Scholer.

Dr. Sabine Matook is a Professor in Information Systems at the UQ Business School, University of Queensland. She received her doctoral degree from the Technische Universität (TU) Dresden, Germany.

Research

Sabine's research interests focus on the creation, adoption, and use, and consequences of effective use of IT artifacts in the two areas of information systems development (ISD) and social media. Within the context of ISD, she seeks to understand why and how the behaviors of teams and individuals dynamically shape the design and development of the IT artifact, including technology-mediated teams (including human-AI hybrids). Her interests also motivate the work on affordances and influences of social IT artifacts (e.g., social media) on and by users in the real and the virtual world.

In 2022, Sabine was recognized for her excellence in publications with the UQ Business School Research Award.

Sabine is a Senior Research Fellow with the Weizenbaum Institute for the Networked Society - The German Internet Institute. She has also held visiting positions at the University of Arizona (Eller College of Management), Georgia State University (Robinson College of Business), the University of Louisville, Vienna University of Economics and Business Administration (Austria), and the University of La Serena (Chile).

Her research is funded by Australian Research Council (ARC) Discovery Project (single CI) Grants in the fields of Sabine's expertise, especially information systems development and social media.

Sabine's 2023 ICIS paper, coauthored with Nadia Bello Rinaudo and Alan Dennis, about "AI Algorithms and Time Experience in Social Media: Explaining Discontinued Use" received the Best-Paper Runner's up award (selected from more than 200 accepted short papers).

Dr. Matook's work has appeared in MIS Quarterly, Journal of Management Information Systems, European Journal of Information Systems, Information Systems Journal, the Journal of Strategic Information Systems, the International Journal of Operations & Production Management, the Journal of Business Research, Decision Support Systems, and the Scandinavian Journal of Information Systems. Over the years, Sabine Matook has presented numerous research papers at international conferences, including the ICIS, ECIS, and PACIS.

Teaching and Learning

Sabine Matook is a passionate educator and a champion for work-integrated learning in higher education. She received the 2022 UQ Citation for Outstanding Contributions to Student Learning and the 2021 Teaching Excellence Award of the UQ Faculty BEL on "Enhancing Employability". She was also awarded the 2021 UQ Business School Award for "Innovation in Large Courses". In February 2024, Sabine was recognised by the 2023 Australian Awards for University Teaching (AAUT) with a Citation for Outstanding Contributions to Student Learning for "For innovatively designing a digital work-integrated learning partnership approach that enhances students' employability in Business Information Systems while inspiring them to ‘give-back’ to community organisations."

She is a Senior Fellow of Advance HE -- which indicates an advanced level of professional standing regarding her expertise in teaching and learning in higher education. In 2022, Sabine was appointed to the HEA@UQ Review Panel as an Assessor.

Sabine Matook produced in 2023 a train-the-trainer workshop for low-code development for the AIS Digital Academy.

Sabine also engages in the scholarship of teaching with a focus on digital employability through citizen development. Her work is currently under review in high-quality academic journals, whereas Sabine published initial findings at the 2021 Australasian Conference on Information Systems and, in 2024, at the Journal of Information Technology.

An opinion piece at The Conversation about "How work-integrated learning helps to make billions in uni funding worth it" and an article in the Campus Section of the Times Higher Education about "Helping students to see the future career value of their work-integrated learning" reached a large readership and influenced the practices of educators in Australia and internationally.

Service

Sabine Matook received the 2021 AIS Technology ATLAS Award. This award is given to those individuals who have made the most significant contributions toward the intellectual infrastructure of the Association for Information Systems (AIS). In 2022, Sabine was awarded the AIS Vision Award to recognize her contributions to the vision of the Association for Information Systems.

She is an Associate Editor for MIS Quarterly (MISQ), a Senior Editor for the European Journal of Information Systems (EJIS) and for the journal AIS Transactions on Replication Research (TRR), a member of the editorial review board for Information System Research, and has been an Associate Editor for Information Systems Journal (ISJ).

Sabine Matook is the AIS Council Secretary for The Association for Information Systems (Sep 2021- 2025).

In 2019, Dr. Matook served on the Expert Panel 'Information Systems' that reviewed the 2019 Australian Business Deans Council Journal Quality List, and in 2022, she served on the Expert Panel that reviewed the 2020 journal ranking list of the Australian Council of Professors and Heads of Information Systems (ACPHIS)

Sabine Matook was the program chair for the European Conference on Information Systems (ECIS) in 2022 and 2021 and 2019. In addition, she served repeatedly as track chair for the International Conference on Information Systems (ICIS) [2023, 2029, 2015], the European Conference on Information Systems (ECIS) [2024,2020], Pacific-Asian Conference on Information Systems (PACIS) in [2024, 2022, 2020], and the Australasian Conference on Information Systems [2018, 2019].

I study design as a collaborative process that materialises alternative social futures. Those futures are sometimes new products, systems, services, infrastructures and technologies. But they can also be social contracts, agreements, processes, ways of working and new possibilities for our collective lives together.

I currently lead research projects in three broad domains: designing advocacy, designing the materials of participation, and augmenting skill and expertise through design.

The designing advocacy project has worked with a range of stakeholders with reduced agency such as people with mental health needs, chronic illnesses, injured workers, and other stigmatised or at-risk groups. We have developed methods for the inclusion of their perspectives in design processes, insights about their specific conditions and needs, critical analyses of how they are conceptualised from the perspectives of technologists and service providers, and design proposals for services and technologies that amplify their agency.

The designing the materials of participation project develops formats and processes for participatory design—the inclusion of stakeholders in the design of systems that will affect the organisation of their work and life. In this project we study how technologies and systems are used in microanalytic detail, analysing how tools and materials shape people's interactions. We use this understanding as a basis for the design of new methods and processes (and sometimes new matierals) for involving people in the design process, and giving them greater autonomy over the systems they will use.

The augmenting skill and expertise through design project studies specialist work practices for the purposes of developing technology support for that work. We have worked with aeromedical teams, audiologists, passport officers, emergency first responders, quick service chefs, primary school teachers, and other professional contexts of use to understand the local and particular skills that enable those workplaces to function effectively and collaboratively. We use these understandings to inform the deisgn of technologies and work practices that support, and preserve, those core professional skills.

The constants across these projects relate to the design process—the methods used to understand people, identify design opportunities, facilitate collaboration between project stakeholders, champion users' contexts and requirements, prototype early solutions, evaluate concepts in the field, and build new technologies. This results in a variety of research contributions: new design methods and perspectives that have been tailored for specific contexts of use, identification of the potentials and limitations of different approaches to design and analysis, the discovery of context-specific issues for the design of new systems, new understandings of people, their work and contexts of use, and the design and evaluation of bespoke technologies.

Professor Mobli is a structural biologist and a group leader at the University of Queensland's Australian Institute for Bioengineering and Nanotechnology (AIBN). He is well known internationally for his contributions to the basic theory of multidimensional nuclear magnetic resonance and its applications to resolving the molecular structure of peptides and proteins, as well as studying their physiochemical properties and function. Mehdi's contributions to the field has been recognised by being appointed an Executive Editor of the AMPERE society's journal "Magnetic Resonance", and to the advisory board of the international Biological Magnetic Resonance Data Bank (BMRB) as well as serving on the board of directors of the Australia and New Zealand Society for Magnetic Resonance (ANZMAG). He is a former ARC Future Fellow and recipient of the ASBMB MERCK medal, the Australia Peptide Society's Tregear Award, the ANZMAG Sir Paul Callaghan medal and the Lorne Proteins Young Investigator Award (now Robin Anders Award).

Prof. Mobli's research group focuses on characterising the structure and function of receptors involved in neuronal signalling, with a particular focus on developing new approaches for the discovery and characterisation of modulators of these receptors through innovations in bioinformatics, biochemistry and and biophysics. This work has led to publication of more than 100 research articles attracting over 6,000 citations.

Peyman Moghadam is an Adjunct Associate Professor at the University of Queensland (UQ). He is a Principal Research Scientist at CSIRO Data61 as well as Professor (Adjunct) at the Queensland University of Technology (QUT). He leads the Embodied AI Research Cluster at CSIRO Data61, working at the intersection of Robotics and Machine learning. He is also the Spatiotemporal AI portfolio Leader at the CSIRO's Machine Learning and Artificial Intelligence (MLAI) Future Science Platform and oversees research and development of MLAI methods for scientific discovery in spatiotemporal data streams. In 2022, he served as a Visiting Professor at ETH Zürich. In 2019, he held a Visiting Scientist appointment at the University of Bonn. Peyman has led several large-scale multidisciplinary projects and won numerous awards, including CSIRO's Julius Career Award, National, and Queensland state iAward for Research and Development, CSIRO’s Collaboration Medal and the Lord Mayor’s Budding Entrepreneurs Award. His current research interests include self-supervised learning for robotics, embodied AI, 3D multi-modal perception (3D++), robotics, and computer vision.

Dr Moni holds a PhD in Artificial Intelligence & Data Science in 2014 from the University of Cambridge, UK followed by postdoctoral training at the University of New South Wales, University of Sydney Vice-chancellor fellowship, and Senior Data Scientist at the University of Oxford. Dr Moni then joined UQ in 2021. He also worked as an assistant professor and lecturer in two universities (PUST and JKKNIU) from 2007 to 2011. He is an Artificial Intelligence, Computer Vision & Machine learning, Digital Health Data Science, Health Informatics and Bioinformatics researcher developing interpretable and clinical applicable machine learning and deep learning models to increase the performance and transparency of AI-based automated decision-making systems.

His research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving humans explainable AI models through feature visualisation and attribution methods. He has applied these techniques to various multi-disciplinary applications such as medical imaging including stroke MRI/fMRI imaging, real-time cancer imaging. He led and managed significant research programs in developing machine-learning, deep-learning and translational data science models, and software tools to aid the diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His research interest also includes developing Data Science, machine learning and deep learning algorithms, models and software tools utilising different types of data, especially medical images, neuroimaging (MRI, fMRI, Ultrasound, X-Ray), EEG, ECG, Bioinformatics, and secondary usage of routinely collected data.

• I am currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students.

Dr. Morteza Namvar is a senior lecturer at UQ Business School, specializing in Business Information Systems. With a background in computer science and IT engineering, he brings valuable expertise to his research on Machine Learning (ML) and Natural Language Processing (NLP) in business settings. Morteza is passionate about exploring the applications of ML, NLP and LLM in organizational contexts. In his research program, he mentors several PhD and HDR students in leveraging these technologies to drive innovation and efficiency across various business domains. He has successfully secured funding for multiple ML and NLP projects and has disseminated his findings through publications in esteemed journals and conferences in IS and computer science. Dedicated to cultivating the next generation of ML enthusiasts, Morteza’s teaching focuses on ML development using Python, equipping students with the skills and confidence needed to thrive in the dynamic field of ML.

Dr Evgenii Nekhoroshev is a Postdoctoral Research Fellow at the School of Chemical Engineering and a member of the Pyrometallurgy Innovation Centre led by Prof. Evgueni Jak.

He graduated with a Master in Chemistry (chemical thermodynamics) from Lomonosov's Moscow State University, Deparment of Chemistry in 2012. His Master's Thesis was "Thermodynamic optimization of the NaOH-Al(OH)3-Na2SiO3-H2O system for applications in Bayer's process of bauxite treatment" as part of a bigger project initiated in collaboration with Rusal company aimed at utilisation/valorisation of red mud residues accumulated during the production of aluminium oxide from bauxite ores.

In 2019, he completed a PhD in Metallurgical Engineering at Ecole Polytechnique of Montreal, Canada within The Centre For Research in Computational Thermodynamics (CRCT), where he acquired expertise in FactSage software, multicomponent database development, and was included in the list of official collaborators of FactSage. His PhD thesis was "Thermodynamic optimization of the Na2O-K2O-Al2O3-CaO-MgO-B2O3-SiO2 system" sponsored by Glass Consortium including Corning and SCHOTT glass producers. The purpose of the database he developed was to assist the industry in designing new glasses with special properties: chemically hardened glasses (smartphones), technical glasses with high thermal and chemical resilience (boron-containing glasses), chemically inert glasses, etc.

Short after receiving his PhD, Dr Evgenii Nekhoroshev accepted a position at The University of Queensland as part of the Pyrometallurgy Innovation Centre's team where he has an official title of Theme Leader in Thermodynamic Computations, combining his broad expertise in metallurgy, chemical engineering, applied mathematics, and programming.

Dr Evgenii Nekhoroshev has always been passionate about formalisation and automation of big research tasks. He started working on developing an automated solver for thermodynamic optimisation during his PhD thesis which was improved and finalised using the ideas of Prof. Evgueni Jak about real-time derivative matrix optimization and sensitivity analysis applicable to large multicomponent systems. His contribution to the Centre allowed to make transition to a continuous optimization approach when experimental and modelling streams of work in the Centre are efficiently combined together. It allows to include the most recent experimental datasets into a self-consistent database update with minimal time delays.

Dr Antonio Padilha L. Bo completed the BEng and MSc at the University of Brasília, Brazil, in 2004 and 2007, respectively, and he was awarded the PhD from the University of Montpellier, France, in 2011. From 2011 to 2019, he has been a tenured assistant professor in electrical engineering at the University of Brasilia, Brazil, where he coordinated Project EMA (Empowering Mobility and Autonomy), which is one of the teams that took part in the Cybathlon competition in 2016 and 2020. He has co-authored over 75 peer-reviewed publications, including awards from societies such as IFAC, IFESS, and MICCAI.

Over the past ten years, Dr Bo has been engaged in research projects concerning the development of technology dedicated to healthcare, particularly in the design of systems to be directly used by a patient in rehabilitation or assistive settings. Every effort featured strong experimental work and was conducted in close collaboration with local rehabilitation centers. In his work, tools from neuroengineering, robotics, control, virtual reality, and instrumentation are often integrated to create devices and algorithms to sense and control human motion. For instance, he has used wearable sensors to segment and estimate parameters of human movement in real-time, a technique that may lead to novel rehabilitation protocols. More importantly, his work has also focused on developing closed-loop control strategies for electrical stimulation applications and prosthetic/orthotic devices. Some examples include systems based on superficial electrical stimulation to enable persons with spinal cord injury to exercise using the lower limbs (e.g. in cycling or rowing) and to attenuate the effects of pathological tremor in essential tremor and Parkinson's Disease.

His long-term research goal is to develop and evaluate the use of noninvasive technology, including electrical stimulation, robotics, virtual reality, and wearable devices, for improving rehabilitation and assistance for persons with motor disabilities.

Dr Sathish Periyasamy is a Research Fellow at a Queensland Brain Institute and Senior Scientist at Queensland Centre for Mental Health Research. He is currently building and focusing on Systems/Genomic Medicine and conducting research in the interface of systems genetics and psychiatry. He is involved in studying the mechanisms of (patho-)physiological processes in psychiatric disorders using a unique combination of educational experience coupled with over twenty-five years of computer programming and eleven years of computational biology experience in biomedicine. Over the past 20 years, his experience working in chemical, biological and medical domains has enabled him to focus on the interface of basic and clinical research and contribute to translational research. From 2011 to 2014, he was involved in cancer genetics research at King Abdullah International Medical Research Centre, KSA. As the bioinformatics lead, with interdisciplinary skills and expertise at the interface of computational intelligence, systems biology, and quantitative/psychiatric genetics, He has been contributing to psychiatric genetics research since 2014 in Professor Bryan Mowry’s lab.

His current research areas include:

• Bioinformatics, Systems Biology and Statistical Genetics - Developing and applying GWAS, post-GWAS bioinformatics, cross-population genetic association and systems genetics approaches.
• Psychiatric Genomics
  • Common and rare variant association studies in schizophrenia using data generated from DNA microarray and whole-exome/whole-genome sequencing technologies.
  • Post-GWAS bioinformatics approaches to characterise risk variants discovered in schizophrenia GWAS.
  • Cross-population genetic association approaches in schizophrenia.
• Computational Intelligence – Developing conventional and visible deep learning models for biomedicine.
• Developing genetic resources for Indigenous Oceanic populations

Javad Pool is a Postdoctoral Research Fellow at The University of Queensland. He completed his PhD in Business Information Systems at UQ Business School in 2022, with a focus on data privacy and the effective use of information systems, specifically in the digital health context. By employing a combination of qualitative and quantitative research methodologies, Javad has conducted studies in a wide range of organizational and technological contexts, including healthcare, artificial intelligence, digital health, and social media. His work includes the development of inductive and theory-driven models, contributing to the existing body of knowledge on the effective use of information systems and health informatics research. Passionate about collaboration, Javad seeks to engage with diverse stakeholders, encompassing multidisciplinary researchers, industry professionals, and government partners, to advance research on information resilience and data protection practices. His research endeavors to better understand and address socio-technical challenges within information systems use, including data governance, privacy risks, cybersecurity, data breaches, data protection, misinformation, and responsible use of data.

Dr Portmann's research interests are in the area of Computer Networks and Information Security.

Dr Portmann received his PhD in Electrical Engineering from the Swiss Federal Institute of Technology (ETH) in Zurich in 2003. His research interests are in overlay and Peer-to-peer networks and network security.

Employment History:

2013 - present Associate Professor ITEE/UQ

2009 – 2013 Senior Lecturer ITEE/UQ

2004 – 2008 Lecturer ITEE/UQ

2003 – 2004 Research Manager, School of Electrical Engineering and Telecommunications, UNSW

2002 – 2003 Senior Research Officer, School of Electrical Engineering and Telecommunications, UNSW

Dr Josephine Previte’s research focuses on issues related to the use of qualitative and digital methodologies in marketing and health service research, gender and embodiment issues in social marketing practice and social technology influences on consumer behaviour.

She has worked on a broad range of social marketing projects including alcohol consumption, breastfeeding, breastscreening, blood donation and new technology use to deliver social marketing services. Her research interests in social marketing, technology and consumption contexts has led to publications in academic journals, book chapters and conference papers, and delivered findings to invited speaking engagements.

Dr David Pullar's research interests are in: Geographical Information Science (Spatial analysis, Spatial modelling languages and frameworks, 3D visualisation, Environmental database applications) and Landscape Modelling (Catchment hydrology, Landuse change, Landscape dynamics).

David Pullar received his PhD from the University of Maine in 1994. His current research projects are in the fields of:

Incorporating Level Set Methods in Geographical Information Systems (GIS) for Land-Surface Process ModellingUsing Spatial Simulation to Create a Process Classification of Provincial BioregionsEnvironmental Database Management and IntegrationHis collaborators include:Coastal CRCIntelligent Real-time Imaging and Sensing (IRIS)The Ecology CentreHigh Performance Computing, VisAC Lab

Dr. Markus Rambach's research interests are in the field of quantum optics, especially on single photon sources to create photonic qubits and qudits.

Markus was born and raised in a small alpine town in Austria, before doing his BSc and MSc at the University of Innsbruck (Austria). He did his undergrad in Physics, before completing an MSc in experimental quantum physics in the prestigious group of Pro. Rainer Blatt. Here, is where he met a young renegade Brit who had just completed his PhD in the research group of Prof. Andrew White at the University of Queensland. Inspired by the stories, Markus decided to have a look for himself and moved to Brisbane, where he completed his PhD with Andrew in 2017. After a short intermezzo for a Postdoc in Scotland, he moved back to Brisbane 2019 and has been a research fellow at UQ ever since. Markus' research interests are in the weird but beautiful world of quantum physics, where he is investigating ways to make the upcoming quantum internet a reality. Over the years he has worked with verious single photon platforms and used them for quantum information experiments. Recently he changed gear and is now investigating the infinitely-sized space of higher-dimensional quantum systems, so-called qudits.

Markus enjoys community engagement, be it as chair of the SMP Early and Mid-Career Academics Committee or as a member of the EQUS Public Engagement Committee. He particular likes the sparks in people's eyes when they start to understand a concept or idea.

I am a postdoc at the Computational Imaging Group, led by Steffen Bollmann. I recently finished my Ph.D. in Computational Imaging at UQ. Specifically, my Ph.D. work involved predicting the functional organization of the human visual cortex from underlying anatomy using geometric deep learning. To tackle this and other research questions, I am leveraging my interdisciplinary background in Biophysics (Bachelor's degree; University of Sao Paulo, Brazil), Neuroscience (Master's degree; Federal University of ABC, Brazil), and now the intersection of AI and imaging. I am interested in (geometric) deep learning, vision, neuroscience, and explainable and fair AI research.