Health Academics

Federico Girosi


Federico Girosi is an Associate Professor in Population Health at the School of Medicine, Western Sydney University and the Head of Research of the Health Market Quality program of Capital Markets CRC. Dr. Girosi is a health economist and a data scientist whose interests span a wide range of topics. 

He is currently working in collaboration with federal and state organizations, as well with the private sector, on projects that apply data analytics to the solution of problems of immediate interest. Examples of his current projects include the development of a microsimulation for the prediction of health and health care utilization under different policy scenarios, the detection of clusters and anomalies in health trajectories, the design of customizable catchment areas and the analysis of the role of chronic conditions in the DRG hospital payment system. 

He is also a Chief Investigator in three NHMRC sponsored projects: two that studies ways to manage ear infections in urban Aboriginal children and one that looks at immediate versus delayed care for gestational diabetes diagnosed at booking.

Dr. Girosi is also involved in research in the burden of eating disorders and in the evaluation of labor and birth programs. 

Dr. Girosi earned a Ph.D. in Health Policy from Harvard University in 2003, and worked 8 years at the RAND Corporation (Santa Monica, U.S.A.). His best known RAND project was the development of the COMPARE microsimulation, which was used to evaluate the impact of health care reform commonly known as “Obamacare”. He also holds a Ph.D. in Physics from the University of Genoa, Italy, and conducted research for 10 years at the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT) in the areas of machine learning and computer vision. 

Dr. Girosi has published in a number of peer-reviewed international journals, including the New England Journal of Medicine, Health Affairs, Nature, Science and the Proceedings of the Institute of Electrical and Electronics Engineers. He is also the author of a book, published by Princeton University Press in 2008 and co-authored by Gary King, entitled "Demographic Forecasting".

This information has been contributed by Doctor Girosi.

Areas of expertise: 

Adam Elshaug

Professor Adam Elshaug is an internationally recognized researcher and policy advisor with expertise in reducing waste and optimizing value in health care. This involves:

  1. defining appropriateness (low- versus high-value care), including from various stakeholder perspectives (patient, clinician, community members, policy);
  2. Measuring patient and provider level prevalence of low-value care within large healthcare datasets;
  3. Working closely with government (including Medicare Australia) and third party payers in health care to design and implement reforms aimed at reducing waste, optimizing heath care safety and value, including the design and evaluation of alternative payment models.

Prof Elshaug was a 2010-11 Commonwealth Fund Harkness Fellow based at the Agency for Healthcare Research and Quality (AHRQ) in Washington DC. From mid-2011 to mid-2013 he then served as NHMRC Sidney Sax Public Health Fellow in the Department of Health Care Policy, Harvard Medical School, Boston. In parallel, Adam became The Commonwealth Fund's Inaugural Visiting Fellow for 2012-13 in New York City. Prof Elshaug is recipient of numerous research awards and over 100 invitations to address conferences, government, academic, insurance and health technology assessment groups internationally. He serves as Associate Editor forBMC Health Services Research and has first-author publications in journals such as the New England Journal of Medicine, BMJ, Journal of the American Medical Association, Medical Journal of Australia, BMJ Quality & Safety.

Uma Srinivasan

Dr Uma Srinivasan currently works as a research scientist and mentor for health market quality PhD students at Capital Markets CRC. Dr Srinivasan also provides advise to research and product development in the area of health information business intelligence services. Formerly she worked as Principal Research Scientist at CSIRO, Australia leading a team of IT professionals, scientists and engineers in two specialist areas: Health Data Integration and Multimedia Delivery Technologies. Her previous position also includes working as a Project Director at Prince of Wales Hospital Group, South Eastern Sydney Area Health Service, where she was responsible for designing managing implementations of large inter-hospital systems. She has several international publications in the areas of health information systems, multi-database and multimedia systems. She holds a PhD in Computer Science from the University of New South Wales. Dr Srinivasan is an Adjunct Professor at Western Sydney University, Australia. Her research interests include network analytics and predictive modelling for the healthcare sector.

Areas of expertise: 

Massimo Piccardi

Massimo Piccardi is a Professor of Computer Systems with the Faculty of Engineering and Information Technology at University of Technology, Sydney (UTS), that he joined in January 2002 as an associate professor. Previously, he was a senior lecturer/assistant professor with the Faculty of Engineering at University of Ferrara, Italy.

At UTS, he directs the Computer Vision program of the Global Big Data Technologies Centre, an international centre of excellence for the development of enabling technologies for big data science and analytics.

His main research interests are in the areas of pattern recognition, computer vision, image and video analysis, with main applications to video surveillance, multimedia, and human-computer interaction (CHI).

Over his career, Prof. Piccardi has been the author or co-author of over a hundred and twenty scientific papers in international journals and on conference proceedings and several book chapters.

Since relocating to Australia from Italy in 2002, he has been the principal investigator of many advanced research projects including two ARC (Australian Research Council) Discovery Projects and an ARC Linkage Project, and a chief investigator in another Linkage Project and three Linkage Infrastructure Projects.

Prof. Piccardi serves as an Associate Editor for journals Machine Vision and Applications and Image and Vision Computing and is a senior member of the IEEE, a member of the IEEE Computer Society and a member of the International Association for Pattern Recognition.

Kathy Tannous


Dr Kathy Tannous is a Senior Research Fellow at the Centre for Health Research at Western Sydney University. Her current research areas include the evaluation of Fire and Rescue New South Wales Home Fire Safety Checks Program from the firefighters' perspective.She is a senior lecturer in the School of Business with an active research program in aspects of health economics, economic evaluation studies, and community care. Lecturing experience spans over 18 years and across a number of tertiary institutions in areas of Economics, Finance, and Management. Publication record includes three books, twenty-two refereed publications and over forty research and consultancy reports. Has worked as an economic consultant with macroeconomic forecasting firm Canada (Infometrica), financial economist with Commonwealth Bank, asset consultant with IPAC Securities and Consultant with Coopers and Lybrand. In addition, has undertaken a number of consultancies with the Australian aid agency (AusAID), United Nations Fund for Women, and the World Bank in the Pacific Islands, Lao PDR and Yemen. Currently undertaking an Evaluation of the Home Fire Safety Checks program with Fire and Rescue New South Wales. Is a fellow of Financial Services Institute of Australia (FINSIA), member of Economic Society of Australia and International Society for Pharmacoeconomics and Outcomes Research (ISPOR).

Ehsan Zare Borzeshi

Dr. Ehsan Zare Borzeshi is a Senior Data Scientist at CMCRC and its spinout company Lorica Health. He holds a PhD in Machine Learning and Pattern Recognition from University of Technology, Sydney. He has previously held appointments as researcher at University of Newcastle and University of Technology, Sydney, in Australia and has also been a visiting scholar at University of Central Florida in the US. Dr. Zare Borzeshi is interested in using advanced machine learning and programming solutions to model and analyse big data from healthcare, health services, finance, insurance and other domains.

Athula Ginige

Professor Athula Ginige graduated with B.Sc. first class honours in Mechanical Engineering from the University of Moratuwa, Sri Lanka. In 1987 he won a Cambridge Commonwealth Scholarship to read for a PhD at the University of Cambridge where he developed a computer vision system for a robot working in a semi-structured environment. After finishing his PhD he joined the University of Technology, Sydney (UTS). At the time of leaving UTS he was an Associate Professor and the Head of Computer Systems Engineering Group. At UTS he conducted research in the field of Multimedia and Hypermedia Engineering. His work received international recognition and he was invited to join the Editorial Boards of IEEE Multimedia.

Arif Khan

Arif Khan is a postdoctoral researcher in complex systems research group at the University of Sydney. His key research interests are in the fields of complex networks, data mining, healthcare informatics, computer graphics and visualisation.

He is currently working in Health Market Quality research stream at CMCRC as part of industry partnership with the university. His present research focus is to understand the chronic disease progression using healthcare data and develop a predictive framework based on that. Chronic diseases like type 2 diabetes, cardiovascular diseases etc. incur a significant burden on the healthcare system. Despite the fact that a healthy lifestyle and routine checkup can prevent or delay the chronic disease onset, many patients are unaware of their progression towards chronic conditions. Often the reason is - these diseases progresses slowly and often without explicit syndromes. However, in many cases, these diseases occur together as they have similar biological and environmental factors. Therefore, it would be fascinating if we can understand these factors from the patients' medical history and predict the risk of chronic diseases based on that. One of the key ways to do that is to look at the routinely collected administrative healthcare data such as hospital admission data which contains diagnoses and other socio-demographic information of patients. Arif's research focuses on looking at the patterns in this data and generating disease-related networks from them. He is utilising data mining methods, social network and graph theory to understand disease progression from these networks and predict the future pathway of the patient i.e., to predict how likely the patient will follow the chronic disease pathway. 

Arif completed his B.Sc. in computer science and Engineering from Bangladesh University of Engineering and Technology in 2011. He has worked as a Broadcast Engineer and software developer in a Satellite Television company, gathering industry experience on software development, satellite communication, IT management and computer graphics. Subsequently, he has worked as a lecturer in Computer Science at BRAC University, Bangladesh and then moved to the University of Sydney to do his PhD during 2013-2016. He has authored several research articles in reputed international journals.

Evan Atlantis

Dr Evan Atlantis is Senior Research Fellow at Western Sydney University (WSU), and Affiliate Senior Lecturer at The University of Adelaide. He is a research leader with over 12 years’ professional experience in chronic physical health problems, mental disorders, and health promotion research based on large observational studies, randomised controlled trials, and systematic reviews. With over 50 publications in quality peer-reviewed journals (35 as first author including two monographs; i10-index of 37 and overall H-index of 25 in Google Scholar), he is ranked 36 among Australia’s top experts in depression research (, Jan 2017). Evan has been one of several Chief/Investigator recipients of NHMRC and NSW Government grant funding, totalling more than $4.1 million.

Sanjay Chawla

Sanjay Chawla is Professor of Pattern and Data Mining in the School of Information Technologies, University of Sydney. He served as the Head of School during 2008-11. His research work has appeared in leading data mining journals and conferences including ACM TKDD, Machine Learning, IEEE TKDE, DMKD, ACM SIGKDD, IEEE ICDM, SDM, and PAKDD. He is an associate editor for IEEE TKDE and serves on the editorial board of Data Mining and Knowledge Discovery. He served as a Program Co-Chair of PAKDD 2012. He received his PhD in 1995 from the University of Tennessee, Knoxville, USA under Professor Suzanne Lenhart.

Research interests

My interests straddle data mining, machine learning and spatial data management. I also enjoy discussing philosophical issues related to data mining. My current emphasis is on problems such as:

  • Anomaly detection in high dimensional space.
  • Classification for imbalanced data.
  • Learning in adversarial environments.

Kathy Eagar

Kathy Eagar is the Director of the Australian Health Services Research Institute, at the University of Wollongong. Her latest research is focused on breathlessness during the last week of life in palliative care from an Australian prospective.

Sue Evans

Sue Evans

Sue is head of the Clinical Registry Unit and an Associate Director of the Centre of Research Excellence in Patient Safety. She is the registry custodian for the Australian Prostate Cancer Clinical Registry and holds a Monash Partner Academic Fellowship. She teaches the MPH5267 subject "Principles of Health Care Quality Improvement'. Sue completed her PhD in 2006 through the Department of Medicine, University of Adelaide.

Blanca Gallego Luxan

Dr Blanca Gallego Luxan PhD (UCLA), BS (UAM) is a Senior Research Fellow at the Australian Institute of Health Innovation (AIHI) and leads the modelling and simulation in health team. This multidisciplinary research group is developing new empirical models for the analysis, assessment and prediction of healthcare delivery and for the integration of new sources of information into public health and clinical decision making

Areas of expertise: 

Shima Ghassem Pour

Shima Ghassem Pour recently completed her PhD on the topic of clustering longitudinal health data using Hidden Markov Models at the University of Western Sydney. Dr. Ghassem Pour is interested in using advanced machine learning methods to model, analyse and predict health trajectories.  She is also currently leading the development of a microsimulation project that aims to produce long-term forecasts of health and health care utilisation under a variety of policy scenarios.

Areas of expertise: 

Nicholas Graves

Nicholas Graves is Professor of Health Economics with a joint appointment in the Institute of Biomedical and Health Innovation, School of Public Health, Queensland University of Technology and the Centre for Healthcare Related Infection Control and Surveillance, Queensland Health, Australia.

Research interests

Applied economics work on:

  • nosocomial infection/healthcare-acquired-infection
  • screening for chronic and infectious disease
  • mental health and workplace productivity
  • changing health behaviour among high risk groups
  • the supply of blood products
  • complementary and alternative medicine
  • randomness and funding
  • the economics of bureaucracy
Areas of expertise: 

Karen Grimmer

Karen Grimmer is Professor of Allied Health in the School of Health Sciences. She is the Director of the International Centre for Allied Health Evidence (iCAHE).Karen's interests are diverse. They include the philosophy and practice of implementation of evidence, adolescent musculoskeletal health and its public health implications, posture and its determinants, allied health service quality and outcome measurement, discharge planning from hospitals and the systems which underpin good practices. Karen has been a supported researcher at UniSA every year since 1997.Karen directs the research team working from the International Centre for Allied Health Evidence, City East Campus. This group of visionary researchers pursue diverse research interests of their own, although all the research is linked by the desire to improve allied health teaching and clinical practices.

Jane Hall

Jane Hall

Jane Hall is the Director of Strategy for the Centre and Professor of Health Economics in the UTS Business School. She was the founding Director of CHERE and held that position until 2012. She is a Fellow of the Academy of Social Sciences in Australia. In 2012 she was recognized with a UTS Vice-Chancellor's Award for Research Excellence in Research Leadership. In 2011 she was awarded the inaugural Professional Award made by the Health Services Research Association of Australia and New Zealand, for her outstanding contributions to research, developing the field and mentoring others. She is currently leading the APHCRI funded Centre of Research Excellence in the finance and economics of primary care. She is actively involved in policy analysis and critique, and is a regular commentator on health funding and organisational issues in Australia. Jane has represented Australia in many international health policy forums.

Jane is a member of the Board of the Bureau of Health Information; and a member of the Independent Hospital Pricing Authority. She is the Australian representative of the Harkness Fellowship in Health Policy and Practice; and Director of the Australian-American Health Policy Program. She is an Associate Editor of Health Economics, and of Health Policy.

Areas of expertise: 

Musa Mammadov (Mamedov)

Musa Mammadov (Mamedov) is a Senior Research Fellow at the Faculty of Science and Technology, Federation University Australia. He is a member of the Centre for Informatics and Applied Optimization (CIAO). Dr Mammdov holds a Ph.D. in Mathematics from the St. Petersburg State University (Russia) and Ph.D. in Mathematics & IT from the Federation University Australia. His main research interests are in the areas of optimal control theory (asymptotic stability of solutions) and optimization (theory and numerical methods) with a strong emphasis on practical applications including biological and medical systems.

Dr Mammdov has been the author or co-author of over a hundred scientific papers in international journals and on conference proceedings and several book chapters. He has been a chief investigator of many research projects including an ARC Discovery Project and an ARC Linkage Project. He serves as an Associate Editor for journals Optimization Letters (since 2007) and Annals of Data Science (since 2013).

Steve Milanese

Steve Milanese is Senior Lecturer in Physiotherapy at the School of Health Sciences at University of South Australia. He has postgraduate qualifications in Sports Physiotherapy, Ergonomics and Manipulative physiotherapy, as well as completing a PhD into the determinants of spinal pain in adolescents. Steve’s areas of research interest are human factors and manual therapy.

Guillermo Pineda-Villavicencio

Dr Guillermo Pineda-Villavicencio currently researches the theory and application of Discrete Mathematics. Within Discrete Mathematics, I am mainly interested in the areas of Combinatorics, Permutation Groups and Combinatorial Optimization. However, I have also worked on Computational Geometry and on the design of geographic information systems.

I form part of the Centre for Informatics and Applied Optimization (CIAO) at Federation University Australia, and of the research group Graph Theory and Applications (GTA) at the University of Newcastle (Australia).

I am also a moderator and contributor to the Combinatorics Wiki project, project aiming to present the latest concepts, results, conjectures and references in various topics of Combinatorics.

Awards and Fellowships

  1. Postdoctoral Fellowship (2013), Skirball Foundation via the Center for Advanced Studies in Mathematics at Ben-Gurion University of the Negev.
  2. FAPESP's Postdoctoral Fellowship (2012), University of Sao Paulo, declined.
  3. IBM Faculty Innovation Award. IBM Smarter Planet Industry Skills Innovation Awards 2010. (With Dr Julien Ugon and Dr Nadezda Sukhorukova).


  1. PhD in Mathematics, Federation University Australia, 2009
  2. Bachelor of Computer Science (Honours), University of Oriente (Cuba), 2002
Areas of expertise: 

Shahadat Uddin

Dr Shahadat Uddin is a lecturer at the University of Sydney, Australia. He is a Complex Networks researcher, with a significant emphasis to health analytics and Informetrics as application areas of different methods and models of complex networks. Dr Uddin’s research has addressed how networks evolve over time in different real-life contexts and the impact of the evolutionary dynamics of these networks on the performance and behaviour of individuals. 

Dr Uddin appears to be one of the very first researchers to bring the methods and theories of network analytics to the analysis and modelling of different health care professional networks. For his outstanding research achievements, Dr Uddin was awarded the highly prestigious Dean’s Research Award from the Faculty of Engineering & IT of the University of Sydney in 2015.

He holds a PhD in Complex Networks research area from the University of Sydney, Australia.

Julien Ugon

Julien Ugon is from the Faculty of Science and Technology at Federation University of Australia. He holds a PhD in applied mathematics from the University of Ballarat (Australia), received in 2005. Julien's research interests include nonsmooth optimization and applications, telecommunications and data analysis.

Kees van Gool

Dr Kees van Gool is a Deputy Director and Associate Professor at the Centre for Health Economics Research and Evaluation at UTS. He has extensive experience in international, national and regional health policy research. He is part of a leading team working on the financing and economics of primary care. Kees has previously contributed to and managed a variety of projects including work conducted for the Commonwealth Department of Health, MBF and the Australian Senate. He was a lead investigator in two independent reviews of the Extended Medicare Safety Net conducted for the Australian Government. He is currently a chief investigator at the Centre for Research Excellence on the Financing and Economics of Primary Care (REFinE), funded by the Australian Primary Health Care Institute (APHCRI) . He has worked extensively on cancer care, screening, cystic fibrosis and policy evaluation. He has quantitative skills in micro-economic modelling and has established a track record in using linked data. In 2011 he completed his PhD at the University of Technology Sydney, looking at the out-of-pocket costs faced by patients under Australia’s Medicare system. Kees has previously worked at the Department of Health, NSW Health and the OECD where he led a project on international health system performance and policy analysis on cardiovascular disease care and outcomes.

Rosalie Viney

Rosalie Viney is the Director of the Centre for Health Economics Research & Evaluation (CHERE) and Professor of Health Economics at UTS. She holds an honorary Senior Lectureship in the Faculty of Medicine at the University of Sydney and is a Research Associate of the Centre for Applied Economics Research at the University of New South Wales. Rosalie has a PhD in economics from the University of Sydney. Her PhD research focused on the use of discrete choice experiments to value health outcomes and investigate the assumptions underlying Quality Adjusted Life Years (QALYs). She is a member of the Pharmaceutical Benefits Advisory Committee's Economics Sub-Committee.

Areas of expertise: 

Capital Markets CRC Limited,
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