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Dr
Hatem
Saad
Faculty/Unit:
School of Science
Research areas:
Experimental studies and measurements: Preparing and characterizing of the rare earth intermetallic compounds, Perovskites material, Glass state and Ceramics in nanoscale compounds (Arc furnace, ball milling, …) Magnetism and crystallography of rare-earth intermetallic compounds (Measurements and Data Analysis). XRD (Measurements and Data Analysis). FTIR (Data Analysis and measurements). Conductivity (DC, AC and Dielectric). PPMS (DC and AC magnetic properties) Neutron diffraction (ND), Magnetic structure analysis using neutron diffraction (use nuclear methods to study a wide variety of problems in magnetism) as well as on 'impossible' material (intermetallic compounds contain Gd element) 57Fe Mӧssbauer spectroscopy. 155Gd Mӧssbauer spectroscopy.Theoretical modelling: Creating models for magnetic material properties and structures using MATLAB and Fortran. Data analysis for the conductivity of the materials and the XRD and Neutron Diffraction measurements.
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Doctor
Graham
Wild
Faculty/Unit:
School of Engineering & IT
Research areas:
Aviation Science and Technology Applications Aircraft Accident Analytics Aviation Weather Cyber Physical Systems (Human Machine Interactions) Data Analytics and Modelling Drones / RPAS / UAS / UAV / UAM Environmental and Economic Sustainability Metrology (Instrumentation and Measurement / Sensing) Photonics and Optoelectronics Space Commercialisation Space Tourism Spaceports Vehicle and Structural Health Monitoring
Dr
Elena
Sitnikova
Faculty/Unit:
School of Engineering & IT
Research areas:
Critical Infrastructure protection research focuses on intrusion detection (IDS) for cyber-physical systems (CPS) and the Industrial Internet of Things (IIoT). In addition interdisciplinary knowledge in cybersecurity, software and systems engineering, quality and process improvement.
Dr
Li
Qiao
Faculty/Unit:
School of Engineering & IT
Research areas:
Guidance Navigation and ControlData fusion/Kalman filer designSpace system engineeringSystem modular analysisSystem complex management
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Ms
Veronica
Jiang
Faculty/Unit:
Sch of Marketing
Research areas:
I am a Lecturer at School of Marketing, UNSW Business School. My research focuses on consumer behaviour and behavioural science, especially on how to trigger behavioural changes and people’s decision processes. My current research projects look at 1) how virtual reality can represent the disability experiences better than other methods? 2) can companies offer personalised services according to customers’ psychological profiles? My research has appeared in the Journal of Consumer Research, and Journal of Marketing Research. Also, I am the Director of Education Program at Digital Sustainability Knowledge Hub, one of the research hub at UNSW Business School.
Keywords:
consumer behaviour
Associate Professor
Jose Carlos
Gonzalez Pimienta
Faculty/Unit:
Sch of Economics
Research areas:
Game Theory Political Economy Mathematical Economics Microeconomic Theory
Scientia Professor
Alan
Woodland
Faculty/Unit:
Sch of Economics
Research areas:
International trade, population ageing and retirement.
Professor
Andrew
Pendleton
Faculty/Unit:
Sch of Org & Management
Research areas:
Employee share ownership plansEmployee ownership
Keywords:
rewards, employees, employment, financial literacy, corporate governance, strategic human resource management, human resources management
Dr
Seojeong
Lee
Faculty/Unit:
Sch of Economics
Research areas:
I develop statistical methods for economic models. Unlike experimental data, economists do not have the privilege to conduct a lab-style experiment where confounding factors can be controlled. Some important questions are: Do countries become more democratic as they become richer, i.e., do income (GDP per capita) and democracy have a positive causal relationship? Or does government spending increase GDP? Yet these questions are difficult because the variables affect each other and one cannot experiment with the real economy. Therefore, economists develop an economic model and use a special statistical tool to reveal the true causal relationship between the variables.Conventional statistical approaches build on the assumption that the underlying economic model is correctly specified. However, this assumption is often too strong. My research focuses on developing robust statistical methods against such violations of the correct model assumption. This robust method would provide a broader interpretation of economic models based on real data.
Dr
John-Paul
Monck
Faculty/Unit:
Sess Teaching B&F
Research areas:
John-Paul (JP) Monck serves as a banking consultant to financial services institutions. Covering various aspects of banking risk management and governance, as well as financial economics, JP has served major banks, regulators, firms, and people throughout Australia, China, the United States and Asia.As a Solicitor and a former bank regulator at the Australian Prudential Regulation Authority (APRA), JP brings a unique brand of experience and understanding of governance and management challenges. JP actively contributes to the Australian professional community through both FINSIA and RMA Australia.JP has built a deep foundation of practical and academic expertise in finance, risk management, and governance in the Asia-Pacific region. JP is a CA and CPA in Public Practice and completed his PhD at the University of Sydney on risk management and governance in Australian banks.Academically, JP contributes to many degree programs across accounting, finance, and management disciplines. Through combining multidisciplinary research with active practice and perspectives, JP strives to add value through both prudent and innovative thinking.
Keywords:
corporate governance, risk management, financial risk management, banking, australian banking
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