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I am interested in low-dimensional geometric topology, with a focus on knot theory, quantum invariants of 3-manifolds, and knot homologies --especially in relation to concordances and 4-dimensional smooth topology. I recently got interested in the deep connections, usually provided by combinatorial algebraic topology, between discrete structures --such as matchings and discrete Morse functions-- and their smooth counterparts. As a side interest, I try to apply techniques from topological data analysis to knot theory.

Shakes an imaging expert that leads a strong deep learning, artificial intelligence (AI) focused research team interested in medical image analysis and signal/image processing applied to many areas of science and medicine. He received his Ph.D in Theoretical Physics from Monash University, Melbourne and has been involved in applying machine learning in medical imaging for over a decade.

Shakes’ past work has involved developing shape model-based algorithms for knee, hip and shoulder joint segmentation that is being developed and deployed as a product on the Siemens syngo.via platform. More recent work involves deep learning based algorithms for semantic segmentation and manifold learning of imaging data. Broadly, he is interested in understanding and developing the mathematical basis of imaging, image analysis algorithms and physical systems. He has developed algorithms that utilise exotic mathematical structures such as fractals, turbulence, group theoretic concepts and number theory in the image processing approaches that he has developed.

He is currently a Senior Lecturer and leads a team of 20+ researchers working image analysis and AI research across healthcare and medicine. He currently teaches the computer science courses Theory of Computation and Pattern Recognition and Analysis.

Summary of Research:

• My current research at UQ is as Professor in this School (teaching AGRC3040 Crop Physiology) and as an Affiliate Professor of QAAFI. Since 2020, with full-time appointment at UQ, my research portfolio has included multiple projects in applications of machine learning and artificial intelligence into the ag domain. This area is developing rapidly and across UQ, I am engaging with faculty in multiple schools (ITEE, Maths and Physics, Mining and Mech Engineering) as well as in the Research Computing Centre to develop new projects and training opportunities at the interface of field agriculture and these new digital analytics.
• My career research has been around genetic and environment effects on physiology of field crops, particularly where drought dominates. Application of quantitative approaches (crop simulation and statistical methods) and phenotyping (aerial imaging, canopy monitoring) to integrate the understanding of interactions of genetics, growth and development and the bio-physical environment on crop yield. In recent years, this work has expanded more generally into various applications in digital agriculture from work on canopy temperature sensing for irrigation decisions (CSIRO Entrepreneurship Award 2022) through to applications of deep-learning to imagery to assist breeding programs.
• Much of this research was undertaken with CSIRO since 1996. Building on an almost continuous collaboration with UQ over that time, including as an Adjunct Professor to QAAFI, Prof Chapman was jointly appointed (50%) as a Professor in Crop Physiology in the UQ School of Agriculture and Food Sciences from 2017 to 2020, and at 100% with UQ from Sep 2020. He has led numerous research projects that impact local and global public and private breeding programs in wheat, sorghum, sunflower and sugarcane; led a national research program on research in ‘Climate-Ready Cereals’ in the early 2010s; and was one of the first researchers to deploy UAV technologies to monitor plant breeding programs. Current projects include a US DoE project with Purdue University, and multiple projects with CSIRO, U Adelaide, La Trobe, INRA (France) and U Tokyo. With > 8500 citations, Prof Chapman is currently in the top 1% of authors cited in the ESI fields of Plant and Animal Sciences and in Agricultural Sciences.

Dr Archie Chapman is an Associate Professor in Computer Science in the School of IT and Electrical Engineering.

Archie develops and applies principled artificial intelligence, game theory, optimisation and machine learning methods to solve large-scale and dynamic allocation, scheduling and queuing problems. His recent research has focused on applications of these techniques to problems in future power systems, such as integrating large amounts of renewable power generation and using batteries and flexible loads to provide power network and system services, while making best use of legacy network and generation infrastructure.

Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the University of Southampton (2009-2010), where he completed his PhD.

Dr Monica Chien has multidisciplinary training in marketing, psychology and tourism, and has an extensive background in hospitality. She has won multiple awards for her teaching and research, and has been invited as a visiting scholar to universities in Japan.

Dr Chien’s scholarly interest and expertise lie in the field of Consumer Behaviour, and she is an active researcher in the associated fields of traveller behaviour, sports fan behaviour, resident study, branding and marketing communications with demonstrated research impact on industry, government and policy both within Australia and internationally. She has particular expertise and interest in experimental studies, and has published in leading international marketing and tourism journals.

Dr Chien has conducted research and consultancy with industry and government, leading several international and national projects. She is currently investigating how sport scandals affect sponsoring brands and stakeholders in sport. Her recent projects also examine the nexus between international education and tourism, as well as residents’ response to tourism and mega-event development.

Jen Jen Chung is an Associate Professor in Mechatronics within the School of Information Technology and Electrical Engineering at The University of Queensland. Her current research interests include perception, planning and learning for robotic mobile manipulation, algorithms for robot navigation through human crowds, informative path planning and adaptive sampling. Prior to working at UQ, Jen Jen was a Senior Researcher in the Autonomous Systems Lab (ASL) at ETH Zürich from 2018-2022 and was a Postdoctoral Scholar at Oregon State University researching multiagent learning methods from 2014-2017. She completed her Ph.D. on information-based exploration-exploitation strategies for autonomous soaring platforms at the Australian Centre for Field Robotics in the University of Sydney. She received her Ph.D. (2014) and B.E. (2010) from the University of Sydney.

My research explores how Virtual and Augmented Reality technologies enable users to better understand and interact with complex data. I also focus on the engineering and evaluation of interactive visualisation systems and the design of Augmented Reality interfaces for industry applications. I have authored 60+ publications in top-ranked Human Computer Interaction and Information Visualisation conference proceedings and journals, including in ACM CHI, ACM UIST, ACM ISS, IEEE InfoVis/TVCG, IEEE VR.

In 2021 and 2022, I was nominated Australia’s Field Leader researcher in Computer Graphics (The Australian Research magazine yearly ranking).

my research interests are in the design of diagnostic medical devices and new applications for those devices

Prof Crozier is the director of Biomedical Engineering at UQ. He holds a higher doctorate in engineering for his work in improving the technology of imaging equipment. Stuart was elelcted as a fellow of the institute of physics (UK) in 2004 and hold many national and international grants relating to medical imaging and medical devices.

Yi Cui received his B. Eng. and M.Eng. degrees from Southwest Jiaotong University, Chengdu, China, in 2009 and 2012, respectively, and received the Ph.D. degree in Electrical Engineering at University of Queensland, Brisbane, Australia, in 2016.

Dr Cui has been a Research Associate in the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA since 2016. Currently, he is an Honorary Research Fellow in the School of Electrical Engineering and Computer Science, University of Queensland, Australia. His research interests include wide-area monitoring and control, data analytics and cyber-security of smart grids, condition assessment and fault diagnosis of power transformers.

Shane Culpepper is Professor of Artificial Intelligence at the University of Queensland in St. Lucia, Australia. Before joining the University of Queensland in 2023, Professor Culpeper held a continuing academic position at RMIT University in Melbourne, Australia. He received his PhD in Computer Science from the University of Melbourn in 2008. His research focuses primarily on building better Search and Recommendation Systems. Over his 16 year career, Professor Culpepper has supervised 19 PhD students and co-authored more than 120 peer reviewed papers with 127 different research collaborators on problems such as algorithm efficiency and scalability, new machine learning algorithms for search and recommendation systems, and evaluating search and recommendation engine quality. Professor Culpepper is also an active member in the international research community. In the last 5 years, he has been a program co-chair for international conferences such as SIGIR and CIKM, and co-organized conferences such as WSDM and SWIRL. Professor Culpepper previously held an ARC DECRA fellowship in 2013 as well as an RMIT Vice-Chancellor's Princpal Researcher fellowship in 2017. Before joining the University of Queensland. Professor Culpepper was the founding director of the Centre for Information Discovery and Data Analytics at RMIT University. In total, he has been a chief investigator on 11 reseach grants totalling ~$3.5 Million AUD. For more information, see his personal hoomepage.

Dr. Gianluca Demartini is an Associate Professor in Data Science at the University of Queensland, Australia. His main research interests include Information Retrieval, Semantic Web, and Human Computation. His research is currently funded by the Australian Research Council, the Swiss National Science Foundation, Meta, Google, and the Wikimedia Foundation. He received Best Paper Awards at the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) in 2023, AAAI Conference on Human Computation and Crowdsourcing (HCOMP) in 2018, at the European Conference on Information Retrieval (ECIR) in 2016 and 2020, and the Best Demo award at the International Semantic Web Conference (ISWC) in 2011. He has published more than 200 peer-reviewed scientific publications including papers at major venues such as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI. He is an ACM Senior Member, ACM Distinguished Speaker, and a TEDx speaker.

Before joining the University of Queensland, he was a Lecturer at the University of Sheffield in UK, post-doctoral researcher at the eXascale Infolab at the University of Fribourg in Switzerland, visiting researcher at UC Berkeley, junior researcher at the L3S Research Center in Germany, and intern at Yahoo! Research in Spain. In 2011, he obtained a Ph.D. in Computer Science at the Leibniz University of Hannover in Germany focusing on Semantic Search.

Pratap is an IP Strategist and Patent researcher. He has expertise in dealing with Intellectual Property issues in relation to emerging technologies such as Artificial Intelligence (AI), 3D bioprinting and synthetic biology. He is currently a Postdoctoral fellow at TC Bernie School of Law, University of Queensland, Australia. Pratap pursued his PhD from the Centre for Law and Genetics, University of Tasmania, Australia where his research was focused on "Patenting issues related to Bioprinted tissues and Bioinks." In 2018, he was invited by Govt. of Japan to assist the Japanese Patent Office (JPO) in harmonizing Japanese Patent Law in relation to AI. In 2017, he completed his Master of Law (LLM) in Intellectual Property from the World Intellectual Property Organization (WIPO), Geneva and the Queensland University of Technology, Australia. He is the recipient of the prestigious International Fellowship offered by WIPO. He holds a Master's degree in Genomics from the Central University of Kerala, India and a Bachelor’s degree in Biotechnology, Microbiology, and Chemistry from Acharya Nagarjuna University, India. Pratap also holds a Postgraduate Diploma in Patent informatics from the Academy of Scientific and Innovative Research (AcSIR) at the CSIR Unit of Research and Development of Information Products (URDIP), India and worked as a Patent researcher in the same.

Please note: I am NOT taking any new Ph.D. students!

I am an Honorary Research Fellow at the UQ's School of ITEE, primarily focusing on Mixed Reality, Empathic Computing, and Human-Computer Interaction. Please visit my personal website for more details about me and my work.

I am a proponent of "for good" research with these technologies and aim to create a positive societal impact with my research. I believe in designing solutions for users and accordingly putting users ahead of the technology. Most of my work involves user research and statistics.

Before joining the University of Queensland in August 2018, I was a Research Fellow at the Empathic Computing Laboratory (UniSA) working with one of the world leaders of Augmented Reality Prof. Mark Billinghurst between 2015 and 2018. Earlier, I held postdoctoral positions at the University of Tasmania, Worcester Polytechnic Institute (USA), and James Cook University. Earlier I completed my Ph.D. under the supervision of Prof. Christian Sandor and Prof. Bruce Thomas at the University of South Australia with a thesis titled Perceptual characteristics of visualizations for occluded objects in handheld augmented reality. During this time I did a research internship at the TU Munich under the supervision of Prof. Gudrun Klinker. I regularly serve as an organizer and a peer-reviewer of multiple international conferences and journals related to my research interests.

Originally, I was born in Kolkata, India (and lived there for 25 years) and now live in Brisbane, Australia with my wife and daughter! When not working, I enjoy spending time with my family and playing Cricket in the summer.

Dr Chelsea Dobbins is a Senior Lecturer within the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland. Before relocating to Australia, Dr Dobbins was a full-time continuing Senior Lecturer within the Department of Computer Science at Liverpool John Moores University (LJMU) in the UK (2013-2018). She has a background in Software Engineering and expertise in Digital Signal Processing, Applied Machine Learning and Human-Computer Interaction. Her research focuses on the detection of emotion using smartphones/wearable sensors and personal informatics. This includes areas such as lifelogging, affective computing, pervasive computing, digital health, human computer interaction, machine learning, mobile computing, mobile/wearable sensors, human digital memories, signal processing, and physiological computing. Her research has been supported by the UK's Engineering and Physical Sciences Research Council (EPSRC) for work related to developing a mobile lifelogging platform to detect negative emotions during real-life driving. In 2016 she received an ACM Computing Review Notable Article award for work related to mining multivariate temporal smart mobile data.

Skye Doherty is expert in using creative and design-led research methods to explore alternative futures and address wicked problems. Her work has addressed issues in journalism, law, education, and disaster resilience, among others and has led to both conceptual and practical outcomes. Her design artefacts include the NewsCube, an award-winning storytelling tool and Vim, a tangible energy story. She has developed frameworks for journalism innovation and used codesign to design media for bushfire resilience and to improve the experiences of injured workers, a project that led to legislative change. Her current project – Wicked Thinking – uses speculative news to envision the futures of complex issues.

She leads the Global Change Scholars Program in the UQ Graduate School – a year-long PhD experience focused on research collaboration and impact. She also leads the Advocacy and the Public Good theme within the Centre for Communication and Social Change and is a member of the Human-Centred Computing research group in the School of Computer Science and Electrical Engineering. She came to academic research after an international career as a journalist and her experience spans leading international media companies and as well as startups.

Dr Fred Fialho Teixeira is an architect, media artist and senior lecturer at University of Queensland, School of Architecture, Design and Planning. He has been working in the fields of computational architecture and immersive environments for the last 20 years. He has been awarded the Dean's Fellowship from the University of California and Media Arts and Technology Fellowship where he initiated is PhD on innovative biological-based design strategies at the California Nano Systems Institute. Additionally he co-established and developed an international research program on the studies of Perception of Space in Architecture and Culture and the UQ Visualisation Lab with a focus on the used of immersive technologies and extended realities (VR/AR/XR). With over 50 publications on design methods and research in digital design and fabrication, his research focuses on bio-augmented spaces through the experiential traits of immersive media and spatial computing strategies. He's an alumni of the Architectural Association, School of Architecture (AA) and accredited architect by Royal Institute of British Architects (RIBA) and Portuguese Chamber of Architects (OA) and also practiced for high profile offices such as Zaha Hadid Architects. Through his innovative strategies he designed over 30 projects from which he was internationally awarded within biology, art and architectural domains. Presently his research work on spatial computation combines the use of mixed reality and advanced manufacturing to enable the next generation of built environments.

Memberships

Architectural Association, School of Architecture (UK),Royal Institute of British Architects (UK), Chamber of Architects (PT), Australian Smart Communities Association (AU).

Gordon holds a PhD in Chemical Engineering from the University of Cape Town, South Africa, which focused on the application of machine vision, image processing and machine learning algorithms for modelling grade in froth flotation systems.

Gordon spent ten years working for the Victorian Government developing technical computing and modelling solutions. These included the development of the Environmental Systems Modelling Platform, a tool that aims to bring multiple environmental models and datasets into a single easy to use software package, and the development of the Native Vegetation Regulations Tool, to calculate the interactions between proposed clearings and models of rare and threatened species, and thereby determine the required offset credits. More recently, Gordon worked as a data scientist at the Victorian Centre for Data Insights, where he worked with a team focused on delivering innovative data driven solutions across the government sector.

Gordon now applies his data analytics, modelling and technical computing skills at the JKMRC where he works with the Advanced Process Prediction and Control group developing tools for improved time series analysis and visualisation of industrial data and comminution process models.

Marcus Gallagher is an Associate Professor in the Artificial Intelligence Group in the School of Information Technology and Electrical Engineering. His research interests are in artificial intelligence, including optimisation and machine learning. He is particularly interested in understanding the relationship between algorithm performance and problem structure via benchmarking. My work includes cross-disciplinary collaborations and real-world applications of AI techniques.

Dr Gallagher received his BCompSc and GradDipSc from the University of New England, Australia in 1994 and 1995 respectively, and his PhD in 2000 from the University of Queensland, Australia. He also completed a GradCert (Higher Education) in 2010.

Dr Trish Gilholm is a dedicated data scientist, statistician and early-career researcher within the Children's Intensive Care Research Program, Child Health Research Centre. Her research focuses on the application of advanced statistical methods and machine learning techniques to paediatric critical care. With a PhD in Statistics from Queensland University of Technology, her research focuses on personalised predictive modelling to improve outcomes for critically ill children. Dr Gilholm has made significant contributions through her work on projects that include the evaluation of sepsis screening tools, the use of adaptive designs in paediatric critical care clinical trials, and machine learning models to predict long-term educational and developmental outcomes for PICU survivors.

Dr. Gilholm's work has been recognised with numerous awards, including the Executive Dean Commendation for Outstanding Doctoral Thesis Award and Best Oral Presentation at the 2022 and 2021 Children’s Health Research Symposiums. She has published her work in leading journals including Intensive Care Medicine and Pediatric Critical Care Medicine. She is actively involved in mentoring, teaching, and supervision of research students.

Dr. Glencross' research interests are in computer graphics, human computer interaction and the application of these areas to real industry problems.

Glencross is director for teaching and learning in the school of EECS and leads the Graphics and Visualisation theme in the Centre for Energy Data Innovation, where she directs research into tools and technologies to support decision making in the Energy sector. With a background in industry focused research, her work in computer graphics has been supported through industry contracts and research council funding. Her work has had commercial impacts across computer games, visual effects, displays, mobile phones and image-based capture technologies.

She previously led the technical product management of a Graphics Processor Unit at ARM Ltd (UK), the intellectual property for which is deployed in mobile phone handsets. Glencross co-founded two UK-based technology startups; as research director of Pismo Software, she led innovation in automated 3D content creation pipelines for Virtual Reality interior design for Yulio Inc. As director for research at a smart heating company, Glencross led the research and development of an advanced intelligence heating system device.

She serves the computer graphics community as SIGGRAPH 2023 Emerging Technologies Chair. She is also member of the steering committee of the ACM PACM journals, and associate editor of the Computers & Graphics journal. She is recognised as a senior member of the ACM.