Dr. Abraham Oshni Alvandi
Abraham is a research assistant in the BARD design team. He has a PhD degree in Applied Cognitive Sciences from Monash University. Human-technology interaction and cognitive modelling have been the focus of his research goal in recent years. His current interests focus on digital mental health support systems by means of Bayesian computational modelling. Abraham also supervises Monash graduate diploma projects at the intersection of health, cognition, emotion and portable technologies.
Abraham’s doctorate was on digital health with a project on cognitive modelling of emotional agency for telecounselling. In his Master degree, Abraham has specialised in philosophy of cognitive sciences and artificial intelligence; he has worked on a pragmatic information modelling of synthesised emotions for intelligent agents.
Dr Kevin Korb
Kevin Korb is the BARD Program Director and is located at the Faculty of Information Technology, Monash University. He is a Reader and has done research and teaching on Bayesian network technology, causal discovery, evaluation theory, informal logic and the philosophy of science since 1992, when he received his PhD in Philosophy of Science from Indiana University. He maintains (very sporadically) a blog on argument analysis at Bayesianwatch.
Kevin Korb and Ann Nicholson are founding partners of Bayesian Intelligence, Pty Ltd, which specializes consulting in the use of Bayesian network technology.
Prof Ann Nicholson
Professor Ann E. Nicholson is a Professor in the Faculty of Information Technology. After completing her BSc (Hons) and MSc in Computer Science at the University of Melbourne, in 1988 Ann was awarded a Rhodes scholarship to Oxford, where she did her doctorate in the Robotics Research Group. After completing a post-doc at Brown University, she returned to Australia to take up a lecturing position at Monash in 1994.
Ann specialises in the broad area of Artificial Intelligence, a sub-discipline of computer science. Ann is a leading international researcher in the specialised area of Bayesian networks, now the dominant technology for probabilistic causal modelling in intelligent systems. She has applied Bayesian Network technology to problem-solving in many domains including meteorology, epidemiology, medicine, education and environmental science. Examples include the use of BNs in biosecurity risk assessment, predicting the impact of conservation actions on threats and habitats of threatened species, fog forecasting and decision support for clinical cardiovascular risk assessment.
Dr Somaiyeh MahmoudZadeh
Somaiyeh is a postdoctoral research fellow in the BARD design Team. She completed her PhD from Flinders University of South Australia. Her area of research includes computational intelligence, evolutionary algorithms, machine learning, autonomous decision making, situational awareness, and motion planning of autonomous vehicles. Her specific research framework was on the area of autonomous underwater vehicles.
Shreshth is a Research Assistant on the BARD Project. He is a graduate from Monash University with a Master of Information Technology (Honours) specialising in Data Management and Intelligent Systems. His honours research project on “Bayesian Decision Networks for Management of Latent Tuberculosis” included Bayesian modelling, Bayesian decision making and risk analysis.
Yang (Kelvin) Li
Kelvin is a Research Assistant on the BARD Project. He is a PhD student from Monash University, researching in Bayesian network structure learning.