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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.

Jen Jen Chung is an Associate Professor in Mechatronics within the School of Electrical Engineering and Computer Science 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.

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. Azadeh Ghari-Neiat is a Senior Lecturer in Software Engineering at the University of Queensland. Her research interests lie at the intersection of the Internet of Things (IoT), Mobile Computing, Crowdsourcing, and Cybersecurity. Her work focuses on enhancing connectivity and security in modern computing environments through innovative crowdsourcing solutions. She completed her PhD in Computer Science from RMIT University in 2018. Prior to joining UQ, Dr. Ghari-Neiat held academic positions at Deakin University as a Senior Lecturer and at the University of Sydney as a postdoctoral research fellow and casual lecturer.

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.

I bring industry and academic experience in working on quantum error mitigation, quantum error correction, and quantum control theory to enable quantum computing demonstrations on near-term hardware. I am currently investigating the feasibility of combining error mitigation and error correction techniques with quantum machine learning algorithms at the University of Queensland. With Sally Shrapnel and partnering with the Queensland Digital Health Center (QDHeC), we are analysing the operational robustness of quantum machine learning, with an eye to digital health use-case discovery and testing. Prior to this, I worked on execution of dynamic circuits for error mitigation and quantum error correction applications at IBM Quantum (US) for three years. My work resulted in 3 patents and being recognised as one of IBM Research’s Top Technical Contributors in 2023 globally. I have also designed classical algorithms for noise filtering and prediction for trapped ions at the Quantum Control Laboratory in the University of Sydney, winning ARC EQUS inaugural Director’s Medal in Australia in 2019.

I am a computational biologist with a centre-wide research role in the ARC Centre of Excellence for Plant Success in Nature and Agriculture, based here at UQ. I spend my time researching new computational techniques for predicting complex quantitative traits by integrating multiple layers of 'omics data (amongst dozens of other things!).

Areas of interest:

• Machine Learning, AI and high performance computing to learn and exploit functional connectivity in biological data
• Gene Expressions networks
• Multiplex networks, information propagation and perturbation
• Genomic Prediction

My goal is to aid crop and forestry breeders in selecting parental lines more accurately, which gives us a pathway to improving certain plant species. I also spend time developing new data analysis techniques that are being applied to human disease and conditions such as Autism and substance addiction.

David completed his PhD at Australian National University in 2017, focusing on the genome-wide basis of foliar terpene variation in Eucalyptus. He then undertook a postdoc at Oak Ridge National Laboratory, a US Dept of Energy lab with a focus on big data. After a stint as a staff scientist at Oak Ridge, David arrived at the Centre of Excellence in 2023 in the role of a Senior Research Fellow.

Dr Jessica Korte is passionate about the ways good technology can improve lives. To ensure technology is “good”, she advocates involving end users in the design process; especially when those people belong to “difficult” user groups - which usually translates to “minority” user groups. Her philosophy for technology design (and life in general) is that the needs of people who are disempowered or disabled by society should be considered first; everyone else will then benefit from technology that maximises usability. Her research areas include Human-Computer Interaction, Machine Learning, and Participatory & Collaborative Design.

Jessica was drawn to research by a desire to explore some of the ways technology and design can empower and support people from marginalised groups. She has worked with Deaf children and members of the Deaf community to create a technology design approach, and successfully organised and run international workshops on Pushing the Boundaries of Participatory Design, leading to the World’s Most Inclusive Distributed Participatory Design Project.

Jessica has recently been awarded a TAS DCRC Fellowship to create an Auslan Communication Technologies Pipeline, a modular, AI-based Auslan-in, Auslan-out system capable of recognising, processing and producing Auslan signing.

Jessica is currently looking to recruit research students with an interest in exploring topics in an Auslan context, including machine learning, natural language processing, chatbots, video GAN, or procedural animation.

Gayan Lankeshwara is a postdoctoral research fellow in the Power, Energy and Control Engineering research group at The University of Queensland, Australia. He received the B.Sc.Eng. (Hons.) and M.Sc.Eng. degrees in electrical and electronic engineering from the University of Peradeniya, Sri Lanka, in 2016 and 2021, and a Ph.D. degree in electrical engineering from The University of Queensland, Brisbane, QLD, Australia, in 2023. His research interests include grid integration of distributed energy resources, active distribution network management and machine learning applications in power systems.

Dr Kai Li Lim is the inaugural St Baker Fellow in E-Mobility at the UQ Dow Centre for Sustainable Engineering Innovation. Specialising in data science, engineering, and emerging technologies, Dr Lim focuses on real-time vehicle telematics, infrastructure management, and computer vision-based autonomous driving.

At UQ, Dr Lim's research centres on electric vehicle (EV) usage and charging patterns to inform adoption policies and strategies. His work includes examining trends for incentive design and assessing the environmental and economic impacts of EVs. Dr Lim's current focus is on charging reliability and addressing EV drivers' pain points. His research has been featured in academic, industry, and media publications, facilitating discussions with various stakeholders.

Dr Lim has published a range of articles, book chapters, and conference papers in reputable venues. He has delivered invited talks and appeared in media outlets such as ABC, Courier Mail, and The Conversation. Collaborating with various UQ schools, including Civil Engineering, Electrical Engineering and Computer Science (EECS), Economics, and Environment, Dr Lim has secured funding for projects on topics like carbon emissions offset after EV uptake and evaluating price incentives for EV charging using real-time data.

In addition to his work at UQ, Dr Lim collaborates closely with the UC Davis Electric Vehicle Research Center, where he recently completed a six-month visiting fellowship on EV charging. He engages in speaking events and networking opportunities centred on sustainability and transportation innovation, delivering keynote speeches at conferences and industry roundtables.

Dr Lim holds a BEng (Hons) degree in electronic and computer engineering from the University of Nottingham, an MSc degree in computer science from Lancaster University, and a PhD degree from The University of Western Australia, supported by the Australian Government under the Research Training Programme.

Janet R. McColl-Kennedy is Professor of Marketing, UQ Business School, and Lead, Innovation Pathways Program, FaBA (Australia's Food and Beverage Accelerator), Trailblazer Universities program, The University of Queensland, Brisbane, Australia.

Professor McColl-Kennedy is an Honorary Visiting Professor and Fellow, Cambridge Service Alliance, Institute for Manufacturing, in the Department of Engineering, the University of Cambridge, UK. Research Collaborators | Cambridge Service Alliance. She is also the Founding Co-Lead of the Service Innovation Alliance (SIA) Research Hub at the Business School, The University of Queensland. SIA is a multidisciplinary research hub focusing on Customer Experience, Service Innovation and Sustainability, with an emphasis on AI, digital transformation and service design.

Janet embodies scholarly excellence. She is an elected Fellow of the prestigious Academy of the Social Sciences in Australia (ASSA) in 2022 for her distinguished contribution to the social sciences. She is also a Distinguished Fellow of the Australian and New Zealand Marketing Academy (ANZMAC) having "demonstrated outstanding contributions to the Academy and also demonstrated eminence in the Marketing discipline through research, scholarship, education and leadership". https://anzmac.org/fellows/

In 2024 Professor Janet McColl-Kennedy was appointed to the Australian Research Council (ARC) College of Experts based on her exemplary sustained track record of obtaining and leading her teams to the successful completion of their respective programs of research. The ARC College of Experts plays a very important role for the ARC and the research community more broadly. Appointees assign external assessors and help rank and moderate ARC grant applications that have been submitted under the National Competitive Grants Program (NCGP). They also assist with recruitment of new assessors and provide advice for peer review reforms to the ARC. This appointment is recognition of her international standing and contributions to research both in Australia and internationally.

Professor McColl-Kennedy was recognised in the "Highly Cited Researcher Awards for 2021", released by Clarivate™. This outstanding achievement is for those who are pioneers in their field, demonstrated by the production of multiple highly cited papers that rank in the top 1% by citations for the field and year in the Web of Science™. She received a commendation by UQ’s Vice Chancellor Deborah Terry. “This is a very significant achievement that reflects the outstanding quality and impact of their research.” Only two persons in Australia were listed in the “Economics and Business” category, Janet being the only academic in Marketing in Australia to receive this award. In 2023 and 2024 she was ranked in the World's Best Business and Management Scientists by Research.com. https://research.com/scientists-rankings/business-and-management/au

Professor Janet McColl-Kennedy has made a significant research contribution to the discipline of Marketing, specifically in her research area of “Services”. With over 200 publications (91 being refereed international journal articles, 21 book chapters/books, 6 industry articles, white papers, and reports, 14 workbooks and 73 refereed international conference papers), Professor McColl-Kennedy is not only a leading senior marketing academic in Australia, she is internationally recognised as a leading researcher in Service Science. Her research interests focus on customer experience management and measurement, and the role of digital technology, AI, customer insights and choice preferences, customer complaining behaviour and customer value co-creation. She has particular expertise in health care services. Professor McColl-Kennedy is dedicated to nurturing the next generation of researchers mentoring over 20 PhD and honours students.

Janet leads several cross disciplinary and international research teams, obtaining over $83.9 million in competitive research grants, including 20 years of continuous funding from the prestigious Australian Research Council (ARC).

She has a H index of 60 (Google scholar) 43 (Scopus) and over 20,454 citations (Google Scholar).

Professor McColl-Kennedy has held several senior leadership positions in the UQ School of Management and UQ Business School, including Marketing Discipline Leader for 10 years from 1996 to 2005, Research Director of the UQ Business School from January 2006 to June 2008 and from April 2009 to January 2010, Director International in the School of Business from January to December 2010 and Associate Director, Research (Engagement and Impact) in 2019 before being appointed Director of Research again in January 2020 until January 2023.

Professor McColl-Kennedy has held Visiting Professorships at Indiana University, USA, Bocconi University Milan, Italy, the University of New South Wales, Sydney, and the University of Cambridge, UK.

Professor McColl-Kennedy’s work consistently appears in prestigious journals in her field such as the Journal of Retailing, Journal of the Academy of Marketing Science, Leadership Quarterly, Journal of Service Research, Harvard Business Review, European Journal of Marketing, Journal of Business Research, Journal of Service Management, Psychology and Marketing, Journal of Services Marketing, Journal of Marketing Management and Industrial Marketing Management.

In recognition of her international research reputation she is an inaugural member of the Advisory Board of the Cambridge Service Alliance, University of Cambridge, UK, a global alliance between leading businesses and universities. Founded by Cambridge University Institute for Manufacturing and Judge Business School, in alliance with BAE Systems, IBM, and Caterpillar the Cambridge Service Alliance was formed in 2010 and is designed to bring together some of the world’s best firms and researchers devoted to delivering today the insights, education and approaches needed for the Complex Service Solutions of tomorrow. For more information on Cambridge Service Alliance see http://www.ifm.eng.cam.ac.uk/research/service/.

Her latest work focuses on measuring and managing customer experience (CX) See https://managementink.wordpress.com/2018/12/21/gaining-customer-experience-insights-that-matter/

• Appointed to the Advisory Board of CTF Service Research Center, Karlstad University, Sweden from 2012 ongoing. Global companies on the board include Ericsson, Tetra Pak, Volvo and IKEA.
• Appointed to the Internationally Scientific Advisory Board (ISAB), Norwegian School of Economics (NHH), Norway from 2014 -2022.
• Appointed as Academic Scholar, Cornell Institute for Healthy Futures, Cornell University, New York, USA, 2016 -2019.
• Appointed Research Faculty in the Center for Service, Arizona State University, USA in 2018 ongoing.

RESEARCH AWARDS

* April 2024 – Ranked in 2024 World's Best Business and Management Scientists. (See World's Best Business and Management Scientists: H-Index Business and Management Science Ranking in Australia 2024 | Research.com). Ranked second top Marketing Professor in all of Australia.

* June 2023 - Received the inaugural Bo Edvardsson Industry Impact in Services award, QUIS18, VinUniversity, Hanoi, Vietnam.

* November 2022 – Elected Fellow of the Academy of The Social Sciences in Australia (FASSA) https://socialsciences.org.au/

* June 2020 – Awarded highly commended paper. Finalist (with two others) for the 2019 Journal of Service Research best paper award.

[McColl-Kennedy, J.R., M. Zaki, K. Lemon, F. Urmetzer and A. Neely (2019), “Gaining Customer Experience Insights that Matter”, Journal of Service Research, 22, 1, pp.8-26.]

* December 2019 awarded the 2019 University of Queensland Business School's “Research Team Engagement Award" for outstanding achievement in research - Service Innovation Alliance (SIA) interdisciplinary research group.

https://business.uq.edu.au/service-innovation-alliance

*July 2019 – “Robert Johnston Highly Commended Paper award of 2018”. “Awarded for your outstanding research” by the Journal of Service Management Editorial Review Board. Award presented at Frontiers in Service Conference, 19 July 2019, Singapore.

[Bolton, R., J.R. McColl-Kennedy, L. Cheung, A.S. Gallan, C. Orsingher, L. Witell, M. Zaki (2018), “Customer Experience Challenges: Bringing Together Digital, Physical and Social Realms”, Journal of Service Management, 29, 5, pp. 776-808.]

* November 2018 - Awarded the Cross-Discipline Research Award by the UQ Business School for outstanding achievement in research (29 November 2018).

* September 2018 - "the most influential marketing academic in Australia". Professor McColl-Kennedy is named "the leading researcher in the field of Marketing in Australia", "Australia’s Research Field Leaders” The Australian, 26 September, 2018, page 12.

* June 2017 - Best Article Finalist – “Highly Commended Paper of 2016” Journal of Service Research article.

[Patterson, P. G., M. K. Brady and J.R. McColl-Kennedy (2016), "Geysers or Bubbling Hot Springs? A Cross-cultural Examination of Customer Rage From Eastern and Western Perspectives, Journal of Service Research, 19, 3, pp. 243-259.]

* February 2016 – “Highly Commended Paper of 2015”. Short listed for the Journal of Service Management (JOSM) - 2015 - Robert Johnston Award with two others).

[McColl-Kennedy, J.R., P.G. Patterson, M.K. Brady, L. Cheung and D. Nguyen (2015), “To Give or Not to Give Professional Services to Non-paying Clients: Professionals’ Giving Backstory”, Journal of Service Management, 26 (3): 426-459.]

* October 2015 our paper Bolton, R.N., Gustafsson, A., McColl-Kennedy, J.R., Sirianni, N.J. and Tse, D.K. (2014), “Small Details that Make Big Differences: a Radical Approach to Consumption Experience as a Firm's Differentiating Strategy”, Journal of Service Management, Vol. 25, No. 2, pp. 253-274 made it into the top 20 most cited Marketing articles since 2011 list.

* March 2015 - Highly Recommended paper - Short listed (in the top four best papers) for the best 2014 article in Journal of Service Management."As of November / December 2014 , this highly cited paper received enough citations to place it in the top 1% of the academic field of Economics & Business based on a highly cited threshold for the field and publication year." Source: ISI Web of Science.

[ Bolton, R.N., Gustafsson, A., McColl-Kennedy, J.R., Sirianni, N.J. and Tse, D.K. (2014), “Small Details that Make Big Differences: a Radical Approach to Consumption Experience as a Firm's Differentiating Strategy”, Journal of Service Management, Vol. 25, No. 2, pp. 253-274.]

* March 2013 - Highly Recommended - Short listed (in the top five best papers) for the best 2012 article in Journal of Service Research. [McColl-Kennedy, J.R., Vargo, S.L., Dagger, T.S., Sweeney, J.C. and van Kasteren, Y. (2012). “Health Care Customer Value Cocreation Practice Styles”, Journal of Service Research, Vol.15, No. 4, pp. 370-389 – the lead article.]

* 2011 Appointed Fellow of ANZMAC (Australian and New Zealand Marketing Academy) since 2011, having “demonstrated outstanding contributions to the Academy and also demonstrated eminence in the Marketing discipline through research, scholarship, education and leadership”. https://anzmac.org/fellows/

* 2011 Winner of the Distinguished Researcher Award (Australian and New Zealand Marketing Academy). “This is an annual award for a member of the ANZMAC community judged to have made the most significant contribution to advancing our knowledge of marketing through their research”.

* 2011 Short listed (with two other papers) for the Accenture Award. The award is given each year to the author(s) of the article published in the California Management Review in 2009 that has "made the most important contribution to improving the practice of management". [Patterson, P.G., McColl-Kennedy, J.R., Smith, A.K. and Lu, Z. (2009), “Customer Rage: Triggers, Tipping Points and Take-Outs”, California Management Review, Vol. 52, No. 1, pp. 6-28.]

* 2011 “Outstanding author contribution” winner, Emerald Literary Network, Award for Excellence for 2010 chapter "Service encounter needs theory: A dyadic, psychosocial approach to understanding service encounters". [Bradley, G.L., McColl-Kennedy, J.R., Sparks, B.A., Jimmieson, N.L. and Zapf, D. (2010), “Service Encounter Needs Theory: A Dyadic, Psychosocial Approach to Understanding Service Encounters”, in Zerbe, W.J., Härtel, C.E.J., and Ashkanasy, N.M. (Eds.) Research on Emotion in Organizations, Volume 6: Emotions in Creativity, Learning, and Change, Emerald Group Publishing/JAI Press, Bingley, UK, pp. 221-258.]

* 2010 Honorable mention - Short listed for best "Services" article published in 2009 by AMA SERVSIG [McColl-Kennedy, J.R., Patterson, P.G., Smith, A.K. and Brady, M. (2009). “Customer Rage Episodes: Emotions, Expressions and Behaviors”, Journal of Retailing, Vol. 85, No. 2, pp. 222-237.]

* 2010 Awarded best paper in AMJ [Tombs, A.G. and McColl-Kennedy, J.R. (2010), “Social and Spatial Influence of Customers on Other Customers in the Social-servicescape”. Australasian Marketing Journal, Vol. 18, No. 3, pp. 120-131.]

* 2009 Best paper award 2009 EIASM Naples Forum on Service, Capri Italy (McColl-Kennedy et al 2009)

* 2008 Best paper award 2008 ANZMAC conference (McColl-Kennedy and Patterson 2008)

* 2003 Best paper award European Marketing Conference (EMAC) 2003

* 2001 Best paper award AMA SERVSIG Conference 2001

MAJOR GRANTS – Leads cross disciplinary international research teams

*2022-2024 ARC Linkage Projects Grant [LP2102000586] [$1,258,024 including $596,349 cash ($496,349 cash from ARC and $100,000 cash from partner organisations)] “Transforming Primary Healthcare Service Delivery: A Digital-Human Approach” Team: (Professor Janet McColl-Kennedy (Lead CI), UQ Emeritus Professor Mieke van Driel Kalwun Health Service, Associate Professor Lisa Hall UQ School of Public Health, Professor Damian Hine UQ GCI/QAAFI, Dr Mohamed Zaki Cambridge Service Alliance, The University of Cambridge, Dr Christoph Breidbach UQ Business School, Ms Tracey Johnson CEO Inala Primary Care and Adjunct Professor Paresh Dawda)

*2016-2022 ARC Discovery Projects Grant [DP160100421] [$330,000] “Modelling Multidimensional Multiparty Decisions to Improve Outcomes for Customers and Service Providers: New Theory and Measurement Tools” (Professor Janet McColl-Kennedy (Lead CI), Assoc. Professor Len Coote, Professor Claire Wainwright, (UQ Medical School) Professor Scott Bell (UQ Medical School), Professor Michael Brady, Florida State University)

*2015-2021 ARC Linkage Projects Grant [LP150100629] [$1.1 million including $180,000 from ARC] “Examining the Effectiveness of Patient-centred Practices on Health Outcomes” (Professor Pennie Frow Uni of Sydney (Lead CI), Professor Janet McColl-Kennedy, UQ, Professor Adrian Payne UNSW, Dr Rahul Govind UNSW)

*2011-2015 ARC Discovery Projects Grant [DP110102312] [$350,000] 'Pro Bono Service: Drivers, Delight, Dark Side and Downside for the Professional' (Professor Janet McColl-Kennedy (Lead CI), Professor Paul G. Patterson UNSW, Professor Michael K. Brady Florida State University and Dr Doan Nguyen The University of Queensland.)

*2008-2010 ARC Discovery Projects Grant [DP0879469] [$220,000] 'Balancing the needs of customers and employees following service failure: A dyadic psychosocial approach' (with Graham Bradley and Beverley Sparks, Griffith University; Nerina Jimmieson, University of Queensland; and Dieter Zapf , Frankfurt University.)

* 2007-2012 ARC Linkage Projects Grant [LP0775220] [$116,000] "Customer Co-production in Ongoing Health Service Delivery: A Longitudinal Study' (Professor Janet McColl-Kennedy UQ (Lead CI), Dr Tracey Dagger, University of Queensland, Professor Jill Sweeney, University of Western Australia, Bev Mirolo and Maryanne Hargraves, Haematology and Oncology Clinics of Australasia Pty Ltd).

* 2006-2008 ARC Discovery Projects Grant [DP0664410] [$240,000] "Customer Rage Spectrum Emotions in Service Failure Encounters: Linking Experience, Expression, Behaviour and Organisational Responses" Professor Janet McColl-Kennedy UQ (Lead CI), Professor P.G. Patterson, University of New South Wales, Associate Professor A.K. Smith George Washington University, USA, Professor M.K. Brady (Florida State).

* 2004-2007 ARC Discovery Projects Grant [DP0450736] [$210,000] "'The Impact of Customer-Focused Business Strategies on Organisational Performance in a Professional Service Context" (Assoc Professor J. Sweeney University of Western Australia (Lead CI), Professor G. Soutar, University of Western Australia and Professor Janet McColl-Kennedy UQ).

TEACHING

Professor McColl-Kennedy brings a wealth of experience from over 30 years of teaching at university level. She has taught classes at both the undergraduate level and postgraduate level, as well as undertaking executive training, across all modes of delivery including intensive, weekend, and weekly modes. She has taught in Australia, Singapore, Beijing, China, Seoul, Korea, Milan, Italy and in the USA.

Awards: 2020 Excellence Award in Blended Learning – Team Award UQ Business School

Awarded to: Master of Leadership in Service Innovation Team comprising of Assoc Professor David Solnet, Ryan Waters, Darren Mead, Carrie Finn, Anna Black, Elizabeth Sara Dominguez, Buddy Nuku, Michelle Goward, Professor Janet McColl-Kennedy, Dr Teegan Green, Assoc Prof Tim Kastelle, Assoc Professor Pierre Benckendorff, Dr Russell Manfield, Dr Ida Asadi Someh, Assoc Professor Nicole Hartley, Ms Daniela Berg, and Dr Richard O'Quinn.

She was the 2011 Winner of the UQ Business School Corporate Education Teaching Award. She has a sustained track record of high teaching evaluations in executive teaching and masters courses including MBA.

Professor McColl-Kennedy has supervised 50 masters dissertations and 15 PhD students to successful completion. Professor McColl-Kennedy has examined PhD theses from the University of Melbourne, University of New South Wales, University of Sydney, University of Auckland, Macquarie University, Sydney, and Griffith University, among others.

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 the UQ Business School and a member of Future of health - Business School - University of Queensland. He specializes in Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs) in business contexts. With a strong foundation in computer science and IT engineering, he brings interdisciplinary expertise to his research, focusing on the application of ML-driven solutions in organizational and healthcare settings.

Morteza is deeply committed to advancing ML, NLP, and LLM research in business and healthcare, mentoring PhD and HDR students in leveraging these technologies to drive innovation, automation, and efficiency across various industries. He has successfully secured competitive funding for multiple ML and NLP projects and has published extensively in leading IS and computer science journals and conferences.

Beyond research, Morteza is passionate about educating the next generation of ML practitioners. His teaching focuses on hands-on ML development using Python, equipping students with the technical skills and confidence needed to excel in the rapidly evolving field of machine learning.

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

Research interest: Monitoring ecosystem health of coral reefs and seagrass habitats, integrating field and remote sensing image datasets, and the developing applied cost-effective mapping and monitoring approaches. Developed approaches have been adopted as standard practice globally, making a difference in conservation of these valuable habitats. The long term monitoring studies at Heron and Moreton Bay formed the basis for the development of mapping and monitoring over time and space at local to global scale. See here major research impact

Major projects:

• Long term monitoring of benthic composition at Heron Reef (2002-ongoing).
• Long term monitoring of seagrass composition and abundance in Moreton bay Marine Park (2000-ongoing).
• Smart Sat CRC Hyperspectral Remote Sensing of Seagrass and Coral Reefs 2023-2027.
• Developement of Underwater Field Spectrometry and Benthic Photo Collection and Analysis
• 3D GBR Habitat Mapping Project 2015 - ongoing:
• Global habitat mapping project 2019-2023 Allen Coral Atlas .

Current position: Associate Professior in Marine Remote Sensing leading the Marine Ecosystem Monitoring Lab. . Academic Director Heron Island Research Station and affiliated researchers with Centre for Marine Science and Centre for Biodiversity and Conservation Science

Capacity Building and Citizen Science: Capacity: under/post graduate courses; Msc/PhD supervision, workshops/courses; Remote Sensing Educational Toolkit, and online courses (e.g. TNC).Strong supporter of citizen science based projects, as trainer, organiser and advisor for Reef Check Australia, CoralWatch, Great Reef Census and UniDive.

Dr Sen Wang is an ARC DECRA Senior Research Fellow and Senior Lecturer in computer science and data science at the School of Information Technology and Electrical Engineering at UQ. He is also a CI on several health data analytics research grants. Sen has an interest in ICU data and has clinical collaborations with RBWH and Children’s Hospital. Dr Wang received his PhD degree in 2014 and his research interest includes various topics on Feature Selection, Semi-supervised Learning, Deep Learning, Pattern Recognition, Data Mining, and Health Informatics. Since 2010, Dr Wang has published 80+ academic papers in top conferences and journals. Most were published in internationally renowned journals and conferences in the fields of data science, data mining, and machine learning, such as Algorithmica, TNNLS, TMC, TKDE, TCYB, TMM, WWWJ, Signal Processing, ACM TOMM, ACM MM, IJCAI, AAAI, SDM, CIKM, CVPR, ICCV, ICDM, ISWC, ECML-PKDD, PAKDD, ICONIP, ICPADS, and WISE, all CORE A/A* journals and conferences.

Janet Wiles is a Professor in Human Centred Computing at the University of Queensland.

Her multidisciplinary team co-designs language technologies to support people living with dementia and their carers and social robots for applications in health, education, and neuroscience. She is currently developing a citizen science project which uses insights from neuroscience, AI and language technologies to explore the electrical characteristics of mycelial networks of symbiotic fungi in local ecosystems. She received her PhD in computer science from the University of Sydney and completed a postdoctoral fellowship in psychology. She has 30 years’ experience in research and teaching in machine learning, artificial intelligence, bio-inspired computation, complex systems, visualisation, language technologies and social robotics, leading teams that span engineering, humanities, social sciences and neuroscience. She currently teaches research methods for thesis and masters students, and is developing a new course in human-centred AI. Previous special interest courses include a cross disciplinary course ”Voyages in Language Technologies” that introduced computing students to the diversity of Indigenous and non-Indigenous languages, and state-of-the-art tools for deep learning and other analysis techniques for working with language data.

Featured projects

• Human-centred AI
• Florence communication technology
• For more on Human Centred Computing see the HCC projects page