19 May Welcome to DARE’s New Members
We are delighted to welcome our six new Chief Investigators who have recently joined the DARE team. They are experienced researchers with proven track records of multi-disciplinary research and industry collaborations, and sought-after mentors and HDR Supervisors.
Prof John Close, Australian National University, School of Physics: John’s research interests focus on the development of quantum sensors for a wide variety of applications including terrestrial navigation, satellite navigation, planetary exploration, Earth observation, ground water mapping and monitoring and Earth science.
Prof Subhas Mukhopadhyay, Macquarie University, Mechatronics Engineering: Subhas’ fields of interest include Smart Sensors and sensing technology, wireless sensors and network (WSN), Internet of Things (IoT), wearable sensors, medical devices, healthcare, environmental monitoring, Mechatronics and Robotics.
Dr Clara Grazian, USYD, School of Maths and Stats: Clara’s research focuses on Bayesian modelling and computational aspects. In particular, she is interested in Bayesian clustering through mixture models, and the study of properties of prior distributions.
Dr Sahani Pathiraja, UNSW, Data Science: Sahani’s technical expertise spans both the mathematical theory and applications of data science methods, especially in hydrology and on Bayesian inference, Monte Carlo methods, stochastic analysis of data assimilation methods and uncertainty quantification
Prof Judy Kay, USYD, Computer Science: Judy leads the Human Centred Technology Research Cluster, a large multidisciplinary group. Her research and teaching focus on human computer interaction and harnessing personal data for personalisation, making research contributions in interface design, user experience, machine learning and data mining, and infrastructures for personal data management to ensure privacy and user control.
Prof David Warton, UNSW, School of Maths and Stats: Ecological statistician David leads the UNSW Ecological Statistics Research Group where he improves the methods of data science to answer key research questions asked in ecology.