جستجوی استاد راهنمای دانشگاهی

Jiuhua Zhuمشاهده پروفایل

استاد

• Cross-Culture Management
• International Business/Globalisation
• Human Resource Management (HRM) Policies
• +۳ مورد دیگر

Professor Jiuhua (Cherrie) Zhu is a Professor of Human Resource Management (HRM) and Chinese Studies at Monash University's Department of Management. She serves as Director of the China Program at Monash Business School. Her academic journey includes a BA from Nanjing Normal University, an MBA from Monash University, and a PhD from the University of Tasmania. Her research focuses on cross-cultural management, globalisation impacts on China's HRM policies, and contributions to UN Sustainable Development Goals. Key themes include institutional logics in Chinese organisations, innovation ecosystems, and trust dynamics in multinational operations. She leads high-impact projects such as 'Building a sustainable Sino-Australian innovation ecosystem' and 'Trust-Building Mechanism in Emerging Multinationals'. Her editorial role as Editor-in-Chief of Chinese Management Studies (2017–2020) underscores her academic leadership. Recent publications (2024) explore topics like trust deficits in Chinese MNEs, HRM innovations, and organisational ambidexterity in universities. Her work bridges theory and practice, addressing globalisation challenges in emerging economies.

• Workplace Psychosocial Risk Factors
• Work Stress
• Multilevel Statistical Analysis
• +۴ مورد دیگر

Dr. Amy Zadow is a Lecturer and Organisational Psychologist in the Master of Psychology (Organisational and Human Factors) at the University of Adelaide's School of Psychology (Faculty of Health and Medical Sciences). Her research focuses on workplace psychosocial risk factors, work stress, and the application of multilevel statistical analysis and meta-analytic methods. She co-authored key contributions to the WHO/ILO Joint Estimates of Work-Related Burden of Disease and has secured grants from SafeWork SA and the Future Industries Institute's Postdoctoral Fellowship Mobility Grant. Her work spans academic and industry collaborations, including studies on psychosocial safety climate, digital workplace demands (e.g., the WDDR Scale), and longitudinal analyses of burnout in universities during the pandemic. Dr. Zadow has presented at international conferences such as the European Academy of Occupational Health Psychology and the International Commission on Occupational Health. Key awards include the Postdoctoral Fellowship Mobility Grant. Her research emphasizes practical applications, such as measuring student/staff wellbeing in universities and developing frameworks for assessing organizational psychology postgraduate placements.

Dean Lusherمشاهده پروفایل

استاد

• Social Network Analysis
• Organisational Culture
• Indigenous Ways of Knowing
• +۲ مورد دیگر

Dean Lusher is a Professor of Management and Academic Director Indigenous at Swinburne University of Technology's School of Business, Law and Entrepreneurship. He specializes in Social Network Analysis (SNA), focusing on innovation, organizational culture, Indigenous methodologies, and public health. Lusher co-founded the SNA Toolbox, a social network analytics startup, and is Vice President of the Australian Network for Social Network Analysis (ANSNA). His research spans industries like healthcare, education, and sports, addressing network effectiveness and equity. Education: PhD, Graduate Diploma in Psychology, and Bachelor of Arts from the University of Melbourne. Awards include the Harrison White Book Award and ARC Fellowships. He leads the Social Network Research Laboratory, contributing to global SNA methodologies. Research Interests: SNA applications in innovation ecosystems, Indigenous health, learning systems, and crisis management (e.g., COVID-19 interventions). Grants include studies on network analytics for pandemic control and Indigenous community networks. Key Roles: Academic Director Indigenous, ANSNA Vice President, Sunbelt 2022 Conference Chair. Grants: Over 19 grants, including collaborations with CSIRO, AFL, and VicHealth. Awards: ARC Future Fellowship, Harrison White Award, i2 Citation Award. Teaching: Courses like Social Network Analysis (INF80055) and Business Sustainability. Lusher’s work bridges academic research with practical tools for organizations, emphasizing equity and Indigenous knowledge systems. His lab develops methods to analyze and intervene in complex social networks for societal impact.

Pierrick Bourratمشاهده پروفایل

مدرس ارشد

• Philosophy of Biology
• Evolutionary Theory
• Individuality in Evolution
• +۷ مورد دیگر

Pierrick Bourrat is a Senior Lecturer in the School of Humanities at Macquarie University, where he is affiliated with the Ethics and Agency Research Centre. He holds a PhD from the University of Sydney (2015) and has held academic positions at the University of Oxford and the University of Sydney. His research spans philosophy of biology, evolutionary theory, and cognitive science of religion. Research Interests: His primary focus is on the philosophy of biology, especially evolutionary transitions, individuality, levels of selection, and heritability. He also explores the psychology of altruism, cultural evolution, and the cognitive foundations of religious belief. His work often integrates formal modeling with philosophical analysis. Recent Publications: His recent articles examine function pluralism in biology, causality in individuality, and multilevel selection. They reflect a strong trend toward clarifying conceptual foundations in evolutionary biology using tools from philosophy and information theory. Macquarie University Research Fellowship (2017) ARC Postdoctoral Research Associate (2015–2016) Advising and Grants: While no students are listed, Bourrat leads significant research projects funded by Macquarie University and collaborative grants. These include 'Solving the puzzle of the emergence of individuals in evolution' and 'Inheritance and the Emergence of Individuals: From concepts to practice'. He collaborates with leading scholars such as Karola Stotz, Paul Griffiths, and Alan Love. Labs and Teams: He is part of the Ethics and Agency Research Centre at Macquarie University, which fosters interdisciplinary work in moral philosophy, agency, and the ethical implications of scientific research.

• Clinical Psychology
• Aging Psychology
• Decision-Making in Older Adults
• +۴ مورد دیگر

Professor Phoebe Bailey is a leading academic in Clinical Psychology and Aging Research at the University of Technology Sydney (UTS), where she serves as Director of Studies (Psychology) in the Graduate School of Health. Previously, she held roles at Western Sydney University, including Acting Deputy Dean (Academic) in the School of Social Sciences and Psychology. Her research focuses on decision-making in older adults, trust dynamics, and emotion regulation across the lifespan. She has published over 65 peer-reviewed articles and holds editorial roles at journals like Psychology and Aging and The Journals of Gerontology: Psychology Sciences . Phoebe’s academic credentials include a PhD from the University of New South Wales. Her work emphasizes translational research, such as designing UTS’s first undergraduate psychology programs and integrating Indigenous health principles into curricula. She has received awards for leadership, social equity, and excellence in PhD supervision. Her research explores how older adults process advice in health and financial contexts, with grants from the Australian Research Council. Notable contributions include meta-analyses on trust and advice-taking, and studies on pandemic impacts on mental health. She supervises doctoral students on topics ranging from ocean swimming’s psychological benefits to cultural factors in women’s wellbeing. Key Projects: Ageing and Social Decision-Making , Integrating Financial Literacy and Behavioral Science Grants: ARC Discovery Projects (2020-2024), UTS Collaborations Awards: UTS Dean’s Academic Excellence Awards, Western Sydney VC’s Excellence Award Phoebe combines academic governance, research, and teaching, fostering interdisciplinary approaches to aging-related challenges.

Linh Buiمشاهده پروفایل

پژوهشگر ارشد

• Teamwork
• Innovation
• Emotions
• +۳ مورد دیگر

Dr. Linh Bui is a Research Fellow at the Research School of Management, Australian National University (ANU). She holds a PhD in Organisational Behaviour and Human Resource Management (2025), and prior experience with the Da Nang Department of Home Affairs in Vietnam. Her research focuses on teamwork, innovation, emotions, well-being, accountability, and temporal dynamics, employing field surveys, lab experiments, and meta-analysis. Education: PhD in Organisational Behaviour and Human Resource Management, ANU (2020–2025) Master’s in Public Management and Policy Analysis, International University of Japan (2015–2017) Bachelor’s in Culture Management, Hanoi University of Culture (2007–2011) Awards and Grants: Recipient of Group Dynamics Most Valuable Paper Award (2023) Recipient of Division 49 Group Psychology Grant from APA Full scholarships from Da Nang City Government, JDS (Japan), and AGRTP (Australia) Her work bridges theoretical perspectives with empirical methods, emphasizing process-oriented and multilevel analyses. Dr. Bui’s research on socially shared affect and team dynamics has been widely recognized, contributing to both academic and practical insights in organizational behavior.

James Klarevas-Irbyمشاهده پروفایل

پژوهشگر

• Animal Behavior
• Movement Ecology
• Collective Behavior
• +۵ مورد دیگر

James Klarevas-Irby is a researcher affiliated with the Division of Ecology and Evolution at the Australian National University (ANU). He holds a Doctor of Natural Sciences (Dr. rer. nat.) from the University of Konstanz (2022). His work focuses on understanding animal behavior, movement ecology, and social dynamics in animal societies. Dr. Klarevas-Irby supervises research students and has contributed to studies on guineafowl, songbirds, and other species, examining topics such as collective movement, energetic efficiency, and social strategies. Key research interests include: Collective behavior and group dynamics in animals Energetic costs of movement and dispersal Social interactions and network structures in animal societies Applications of GPS tracking and machine learning in ecological studies His publications from 2018 to 2025 explore themes like the impact of group size on thermoregulation, the role of habitat selection in reducing energetic costs, and cryptic dialects in mate choice. He collaborates with institutions globally and actively publishes in journals such as Proceedings of the Royal Society B and Ecology Letters . No scientific awards are explicitly mentioned in the provided texts. His research methodologies include experimental fieldwork, automated tracking systems, and computational modeling to analyze animal behavior at individual and societal levels.

• Biostatistics
• Clinical Research
• Health Services and Systems
• +۴ مورد دیگر

Assoc Prof Steve Quinn is a Senior Biostatistician at the Swinburne University of Technology within the School of Health Sciences . With a PhD in Biostatistics and over 120 peer-reviewed publications, his expertise spans multilevel mixed modeling, structural equation modeling, and glycemic control in critical care. Education: PhD in Biostatistics, University of Tasmania B. Math (Hons) and M. Math, University of Newcastle Dip. Ed., University of Newcastle Research Interests: Statistical methodology for binary regression models, clinical applications in prostate cancer decision-making, sleep apnea treatment efficacy, and glycemic ratio analysis for critical care outcomes. His work also explores mental health in aged care and trauma impacts on homeless populations. Publication Trends: Recent articles focus on prostate cancer decision aids, sleep apnea interventions, critical care glycemia metrics, and mental health applications in geriatric and oncology settings. Methodologies emphasize comparative effectiveness, risk stratification, and statistical modeling. Scientific Contributions: Dean's Honours list for outstanding PhD research (University of Tasmania, 2003) Extensive NHMRC and Department of Health grants for clinical trials Editorial board member for Journal of Clinical Oncology Supervision & Grants: Currently supervising three PhD students. Active CI on multiple NHMRC grants including projects on telehealth dignity therapy, prostate cancer management, and acute coronary syndrome interventions.

• ICT Education
• Science Education
• Mathematics Education
• +۴ مورد دیگر

A/Prof Igusti Darmawan is an Associate Professor at the School of Education , University of Adelaide, and serves as Associate Head (International) and Associate Dean (International Recruitment and Agreement) in the Faculty of Arts, Business, Law and Economics. With 32 years of teaching experience across Pendidikan Nasional University (Bali), Flinders University, and the University of Adelaide, he specializes in ICT, Science, and Mathematics education, quantitative methods, and large-scale assessment data analysis. Research Focus : Measurement, assessment, and evaluation in education; curriculum design; post-pandemic student well-being initiatives. Projects : Evaluation of South Australia's Brightpath program; participation in the Australian Federal Government's Emerging Priorities Program. Grants : Funded by South Australia's Department of Education and the Emerging Priorities Program. Contact : Located at Nexus 10, North Terrace, University of Adelaide.

• Machine Learning
• Evolutionary Algorithms
• Swarm Intelligence
• +۵ مورد دیگر

Mehdi Neshat is a Visiting Scholar at the Data Science Institute within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). He holds a PhD in Engineering from the University of Adelaide (2016-2020) and has extensive experience as a research data scientist specializing in computational optimization methods applied to complex engineering and healthcare problems. His educational background includes: PhD in Engineering, University of Adelaide (2016-2020) Neshat's research focuses on developing and applying advanced computational methods to solve real-world challenges. He specializes in evolutionary algorithms, swarm intelligence, and machine learning techniques for optimizing renewable energy systems, particularly wave and wind energy converters. His work extends to healthcare applications including genomic analysis and medical diagnostics, as well as structural engineering optimization and smart building energy management. His interdisciplinary approach bridges theoretical algorithm development with practical implementation across multiple domains, demonstrating exceptional versatility in computational problem-solving. Analysis of his recent publications reveals a strong trend toward sophisticated ensemble methods and hybrid optimization approaches that combine multiple algorithms to overcome limitations of single-method approaches. His research shows increasing sophistication in handling multi-objective optimization problems, particularly in renewable energy systems where trade-offs between power output, system stability, and cost must be balanced. The geographical focus of his energy research centers on Australian coastal regions, with practical applications for wave and wind farm deployment. Neshat has received significant recognition for his research contributions: Back-to-back Best Paper Prizes at the GECCO conference (2019 and 2020), a CORE A-ranked international optimization and machine learning conference His collaborative research spans multiple institutions and disciplines. Previously, he served as a Postdoctoral Research Associate with the Genomic analysis team at the Australian Centre for Precision Health, Cancer Research Institute, University of South Australia, and as a Senior Research Fellow at the Center for Artificial Intelligence Research and Optimization, Torrens University Australia. His work demonstrates consistent engagement with multidisciplinary teams across engineering, computer science, and healthcare domains, with a strong emphasis on practical implementation of theoretical methods. At UTS, Neshat contributes to the Data Science Institute's research agenda, focusing on applying advanced computational methods to complex real-world problems where traditional analytical approaches fall short. His current work continues to expand the boundaries of optimization techniques for renewable energy systems while exploring new applications in healthcare analytics and structural engineering.