جست‌وجوی استاد و پژوهشگر

• Health Economics
• Public Health
• Econometric Modelling
• +۳ مورد دیگر

Dr. Julie Abimanyi-Ochom is a Senior Lecturer at Deakin University's School of Health and Social Development, part of the Faculty of Health and the Institute for Health Transformation. She holds a PhD in Health Economics from Monash University, an MSc in Development and Resource Economics from the Norwegian University of Life Sciences, and a BSc in Agricultural Economics from Makerere University. Her research focuses on health economics, particularly in low- and middle-income countries (LMICs), with expertise in econometric modelling and burden of disease analysis. Key areas include chronic disease management (e.g., osteoporosis, Parkinson’s Disease, HIV/AIDS), youth alcohol prevention, endometriosis, and maternal and child health equity. She has led or contributed to over $2 million in grants, including projects on diabetes and dementia links, youth alcohol prevention, and osteoporosis costing studies. Education: PhD in Health Economics, Monash University (Australia) MSc in Development and Resource Economics, Norwegian University of Life Sciences BSc in Agricultural Economics, Makerere University (Uganda) Research Interests: Health economics in LMICs Chronic disease burden and prevention Health service utilisation equity Econometric analysis of health systems Her recent articles analyze topics such as childhood pneumonia costs in Bangladesh, antenatal care inequities in Sub-Saharan Africa, and the economic impact of Huntington’s disease. She has been awarded grants for projects like the Communities That Care initiative and has received accolades including the 2009 Australian Health Economics Society Best Paper Award. Dr. Abimanyi-Ochom supervises doctoral candidates on maternal health, refugee care models, and disability equity. She also contributes to editorial boards (e.g., Frontiers in Public Health) and professional societies like the Australian Health Economics Society. Grants & Awards: $475,498 MRFF Grant for Endometriosis Research (2020–2026) $97,000 Osteoporosis Australia Grant (2024) Brown University Advanced Research Institute Scholar Award (2013) Teaching & Supervision: Teaches Health Economics and Biostatistics at Deakin Supervises 4 doctoral candidates on topics like refugee maternal care and child health outcomes

Emorie D Beckمشاهده پروفایل

استادیار

• Personality Psychology
• Social Psychology
• Psychometrics
• +۴ مورد دیگر

Dr. Emorie D Beck is an Assistant Professor in the Psychology Department at the University of California, Davis. Her work focuses on redefining personality psychology through idiographic methods, exploring how individual-level data can transform our understanding of personality measurement and prediction. She holds a PhD from Washington University in St. Louis (2020) and a BA from Brown University (2016). Her postdoctoral training was at Northwestern University's Feinberg School of Medicine. Dr. Beck's research employs cutting-edge techniques including machine learning, network analysis, and longitudinal panel data to study personality's role in predicting long-term outcomes like dementia diagnosis. She emphasizes personalized approaches, demonstrating how individual-specific prediction models outperform traditional methods. Current projects investigate cross-continental panel data to uncover how personality traits interact with neuropathology and well-being over time. Teaching includes graduate-level courses on data visualization (PSC 203B) and undergraduate courses on personality theory (PSC 162). She directs the Beck Personality Lab, currently recruiting undergraduate researchers. Awards include the 2025 Early Achievement Award from the European Association of Personality Psychology and 2023 Walter Klopfer Award for Best Paper. Methodological innovations span experience sampling, passive sensing, and hybrid statistical approaches combining machine learning with structural equation modeling. Her work bridges theoretical foundations of personality with applied questions about health outcomes and individual variability.

Siwei Liuمشاهده پروفایل

دانشیار

• Research Methodology
• Developmental Psychology
• Health Psychology
• +۴ مورد دیگر

Dr. Siwei Liu is an Associate Professor in the Department of Human Development & Family Studies at the University of California, Davis. Their research focuses on advanced statistical methods for analyzing longitudinal data in developmental and health psychology, with an emphasis on biobehavioral synchrony in close relationships and health disparities. They lead a lab investigating multi-layer contextual factors (e.g., environment, family characteristics) affecting health behaviors, prioritizing diversity in both research subjects and student recruitment. Research Interests : Longitudinal data methodologies: multilevel modeling, time series analysis, functional data analysis Biobehavioral synchrony in parent-child and couples relationships Health disparities, environmental justice, and stress physiology Intensive longitudinal methods in health research Key Projects : GROWell randomized controlled trial for dietary interventions in prenatal/postpartum populations Multimodal assessment of biobehavioral synchrony in autism spectrum disorder Analysis of family risk dynamics and parenting stress through cortisol contagion Labs/Teams : Directs a lab prioritizing underrepresented students, focusing on innovative methods for studying emotions, well-being, and family systems. Collaborates on NIH-funded projects involving wearable devices and ecological momentary assessments.

Siri Hausland Folstadمشاهده پروفایل

پژوهشگر ارشد

• Mental Health
• Public Health
• Youth Health
• +۵ مورد دیگر

Siri Hausland Folstad is a Research Fellow and PhD student at the University of Oslo’s Department of Psychology, affiliated with the PROMENTA research center. Her work focuses on promoting mental health and wellbeing in children and adolescents, particularly through interdisciplinary approaches to public health and life skills education. She is funded by the DAM Foundation for her project evaluating the effects of curricular changes on youth mental health. Education : Master of Research in Psychology (2018–2019), University of Manchester, UK Bachelor of Science in Psychology (2014–2017), University of Manchester, UK Research Interests : Mental health promotion, youth health, prevention of mental illnesses, statistical methods (multilevel modeling, structural equation modeling), and open science practices. Her work integrates quantitative and qualitative approaches to address systemic gaps in healthcare and education. Professional Background : Research Assistant, Norwegian Social Research (NOVA), OsloMet (2021) Research Assistant, Department of Media and Communication, UiO (2020) Mental Health Care Therapist, Døgnseksjonen Sikta, Asker DPS (2019–2021) Labs/Teams : PROMENTA, Youth Mental Health Unit (UK), and the Department of Psychology’s health promotion research groups.

• Employee Proactive Behavior
• Leadership Styles
• Job Crafting
• +۳ مورد دیگر

Zhijun Chen is a Professor and Head of the Department of Human Resources Management at the College of Business, Shanghai University of Finance and Economics (SUFE). He also serves as the Academic Director of SUFE's MBA program and holds an honorary research fellow position at the UWA Business School, University of Western Australia. His research focuses on employee proactive behavior, leadership styles, job crafting, and socialmateriality. He contributes to editorial roles for journals like Human Relations and Asian Pacific Journal of Management . Chen teaches organizational behavior, strategic HR management, and social psychology. His work bridges leadership dynamics, employee behavior, and organizational contexts, with publications in high-impact journals such as Journal of Applied Psychology and Organization Science . His research emphasizes multilevel analyses of proactive behavior and leadership’s role in shaping workplace outcomes. With 12 publications cited over 400 times (Scopus), Chen’s scholarship addresses topics like authoritarian leadership’s impact on proactivity, peer influence in teams, and ambidextrous leadership’s role in newcomer integration. He has supervised 3 students and actively engages in international research collaborations.

Farzad Farajizadehمشاهده پروفایل

پژوهشگر ارشد

• Power Electronic Converters
• Wireless Power Transfer Systems
• Renewable Energy Conversion
• +۴ مورد دیگر

Farzad Farajizadeh is a Research Fellow in Power Engineering at the School of Engineering, The University of Western Australia (UWA). He holds a PhD in Electrical Engineering from Queensland University of Technology (2021), specializing in wireless power transfer systems for dynamic chargers. Previously, he served as a post-doctoral researcher at the University of Queensland, focusing on electromagnetic interference modeling in power electronic systems. His research interests encompass power electronic converters, renewable energy systems, wireless power transfer (WPT), and FACTS technologies. He leads projects on stackable multi-level power electronic modules and has contributed to advancements in dynamic WPT for applications like electric vehicle charging. His work aligns with UN Sustainable Development Goals, particularly in sustainable energy and innovation. Farajizadeh has authored over 20 peer-reviewed publications, including studies on grid-side current oscillations, EMI mitigation in IPT systems, and control strategies for cascaded multilevel inverters. He is a co-investigator on the ARC-funded Renewable Microgrid Pilot for Gravitational Wave Facilities project, addressing energy resilience in remote infrastructure. His research bridges theoretical analysis and experimental validation, with applications in smart grids, renewable integration, and high-efficiency power systems. Key contributions include novel converter designs for dynamic WPT and harmonic mitigation techniques in parallel grid-tied inverters.

James Barbyمشاهده پروفایل

دانشیار

• Mixed-mode modeling
• Analog and mixed-signal circuits
• VLSI systems
• +۳ مورد دیگر

James Barby is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on mixed-mode modeling, analog/mixed-signal circuits, and VLSI systems simulation. He holds a PhD from the University of Waterloo (1986) and has extensive academic credentials including a Master's (1981) and Bachelor's (1979) from Ontario institutions. PhD: University of Waterloo, 1986 MASc: University of Waterloo, 1981 BTech: Ryerson Polytechnical Institute, 1979 Dr. Barby's research interests include switched network simulation for communications/power electronics, transistor model approximations, and analysis methods for digital/analog VLSI systems. His work bridges theoretical modeling with practical circuit design applications. Selected publications span IEEE journals and conferences from 1990–1995, emphasizing mixed-mode simulation methodologies and ASIC design challenges. He has contributed to benchmarking frameworks for circuit simulators and functional analog simulators for multilevel systems. Teaching includes MTE 220 (Sensors and Instrumentation) in recent years. Currently not accepting graduate students.

Rachel Patzerمشاهده پروفایل

دانشیار

• Health Services Research
• Health Disparities
• Epidemiology
• +۷ مورد دیگر

Rachel Patzer is an Associate Professor in the Department of Epidemiology at Emory University’s Rollins School of Public Health. She holds a joint appointment as an Adjunct Professor in the Department of Surgery at Emory University School of Medicine. Dr. Patzer’s research focuses on health disparities, healthcare access, and quality of care, particularly in kidney transplantation and end-stage renal disease. She leads the Health Services Research (HSR) Center, a collaborative initiative between Emory’s departments of Medicine and Surgery, aiming to improve patient outcomes through evidence-based care delivery. Education: PhD, Emory University MPH, Emory University BS, University of Wisconsin-Madison Research Interests include: Disparities in social determinants of health Community-based participatory research Predictive analytics for transplant outcomes Mobile health technology (e.g., iChoose Kidney app) Medication adherence and self-management Healthcare resource utilization Recent Publications highlight work on racial/sex disparities in kidney transplant access, predictive modeling for transplant outcomes, and equity-focused interventions. Her studies appear in high-impact journals like JAMA , Am J Kidney Dis , and Health Affairs . Leadership Roles: Director, HSR Center Chair, UNOS Data Advisory Committee Member, Scientific Registry of Transplant Recipients Co-leader of E-STAR surveillance registry Advising & Teaching: Dr. Patzer mentors students and residents in the Departments of Surgery and Medicine, and teaches in Emory’s Master’s in Clinical Research (MSCR) Program.

• Work Psychology
• Wearable Technology
• Sleep Health
• +۴ مورد دیگر

Luca Menghini is an Assistant Professor at the University of Padova, specializing in occupational health psychology, wearable technology applications, and work-related stress. His research focuses on leveraging digital tools such as wearable devices and mobile sensors to study sleep patterns, workplace behavior, and psychosocial risk factors. Key areas include workaholism impacts, healthcare worker well-being, and the validation of new technologies for health monitoring. His research interests span the intersection of technology and psychology, particularly in: Wearable sensor validation for sleep and physiological monitoring Workplace stress and its physiological correlates (e.g., blood pressure, emotional exhaustion) Multilevel analyses of healthcare environments Experience sampling methodologies for real-time psychological assessment Recent work emphasizes standardized evaluation frameworks for sleep-tracking devices and explores how emerging technologies like VR controllers can integrate physiological sensing. His studies often address contemporary challenges such as digital transformation's mental health implications and menopause management in workplaces. Publications consistently highlight innovative applications of data science in occupational health, with a focus on actionable insights for improving worker well-being through validated technological solutions.

• Educational Psychology
• Teacher Development
• Primary Education
• +۳ مورد دیگر

Juliette H. Walma van der Molen is a Full Professor in the field of ELAN Teacher Development, focusing on educational psychology and teacher professionalization. Her research emphasizes primary education, particularly exploring teacher attitudes toward technology integration and student attitudes toward socioscientific issues. She actively contributes to UN Sustainable Development Goals through her work on equitable science education and civic engagement. Her research interests include the intersection of technology adoption in primary schools, fostering higher-order thinking skills, and evaluating teaching methodologies. Notable contributions include the TANT questionnaire for assessing teacher attitudes toward new technologies and studies on socioscientific education's impact on student collectives. Walma van der Molen has delivered multiple invited lectures on educational innovation and serves on academic committees. Her work has been disseminated through 108 publications, including peer-reviewed articles and conference contributions, with recent focus on multilevel modeling of student attitudes and profile analysis of teacher competencies.

Craig Endersمشاهده پروفایل

استاد

• Missing Data Analysis
• Bayesian Estimation
• Multilevel Modeling
• +۱ مورد دیگر

Craig Enders is Professor and Quantitative Area Chair at UCLA's Department of Psychology. His research develops advanced statistical methods for missing data, including multiple imputation techniques and Bayesian estimation for multilevel models. Created the Blimp software for handling missing data in complex regression models. Methodological innovations focus on structural equation modeling with incomplete data, model fit assessment, and imputation for nonlinear effects. Research supports applications in behavioral sciences and clinical trials. Authored the comprehensive textbook 'Applied Missing Data Analysis' and leads NIH-funded projects advancing missing data methodology for psychological research.

Sarah Liuمشاهده پروفایل

مدرس ارشد

• Gender Studies
• Women's Political Representation
• Migration and Citizenship
• +۵ مورد دیگر

Dr. Sarah Liu is a Senior Lecturer in Gender and Politics at the University of Edinburgh's School of Social and Political Science. She holds a dual PhD in Political Science and Women’s, Gender, and Sexuality Studies from Pennsylvania State University, alongside an M.A. in Intercultural Service from World Learning and a B.A. in American Studies and Studio Art from the University of Notre Dame. Her research focuses on gender and politics, particularly exploring how contexts shape gender disparities in political attitudes and behaviors, including cross-national comparisons of female political leadership’s impact on women’s participation. Her work employs mixed methodologies, such as multilevel modeling and survey experiments, to analyze media framing of immigration, gender roles in political representation, and social movements' influence on youth attitudes. Notable projects include the Lothian Diary Project , examining pandemic experiences, and studies on Taiwan’s pandemic governance through a gender lens. Liu is an Associate Editor of Representation: Journal of Representative Democracy and sits on the editorial board of Political Behavior . She has been recognized as an Emerging Diversity Scholar and one of Apolitical Foundation’s 50 influential scholars. Her research spans East Asian politics, feminist governance, and intersectional methodologies, with a focus on marginalized groups' political representation and activism.

Habtamu Bizuayehuمشاهده پروفایل

عضو هیئت علمی

• Cancer Research
• Indigenous Health
• Health Equity and Disparities
• +۳ مورد دیگر

Dr. Habtamu Bizuayehu is a Postdoctoral Research Fellow at the First Nations Cancer & Wellbeing Research Program, School of Public Health, University of Queensland. His primary focus is cancer research among Indigenous peoples, including cancer outcomes, treatment disparities, and global screening initiatives. Previously, he worked at Cancer Council Queensland and as a researcher/lecturer at Debre Markos University. He holds a PhD in Public Health from the University of Newcastle, Australia, and expertise in epidemiological methodologies such as longitudinal analysis and causal modeling. Education: Doctor of Philosophy in Public Health and Behavioral Sciences, University of Newcastle, Australia Master of Public Health in Epidemiology, Addis Ababa University, Ethiopia Bachelor of Science in Public Health, Hawassa University, Ethiopia Research Interests: Cancer disparities, Indigenous health, health equity, maternal and child health, infectious disease epidemiology, and diabetes. He has authored/co-authored 28 peer-reviewed articles cited over 5000 times and presented at 11 conferences. His work spans high-income (Australia) and low-income (Ethiopia) contexts. Advising & Grants: Supervised seven master's students and mentored junior staff. Specializes in task prioritization, student engagement, and stakeholder collaboration. His research has addressed neonatal mortality, maternal near-miss events, and HIV/AIDS knowledge barriers in Ethiopia. Labs/Teams: Active in the First Nations Cancer & Wellbeing Research Program, focusing on Indigenous cancer outcomes and global health equity initiatives.

Hanna Kurniawatiمشاهده پروفایل

استاد

• Robotics
• Decision-Making Under Uncertainty
• Motion Planning
• +۴ مورد دیگر

Hanna Kurniawati is a Professor at the ANU School of Computing and holds the SmartSat CRC Professorial Chair for System Autonomy, Intelligence, and Decision-Making. She leads the ANU Node and Planning & Control theme of the ARIAM Hub, and founded the Robot Decision Making group. Her research focuses on scalable algorithms for decision-making under uncertainty, particularly in robotics and autonomous systems. She has received prestigious awards, including the RSS 2021 Test of Time Award and multiple best-paper recognitions. She is an active conference organizer and editorial board member for journals like IEEE Transactions on Robotics. Education: BSc Computer Science, University of Indonesia PhD Computer Science (Robot Motion Planning), National University of Singapore (2008) Research Interests: Planning under uncertainty and POMDP frameworks Robot motion planning and computational geometry Integration of planning and reinforcement learning Autonomous system assurance and safety Service and Leadership: Former President of the Australian Robotics and Automation Association (2019–2020) Keynote speaker at ICRA 2025, IROS 2018, and ICAPS 2025 Program Co-Chair for ICRA 2022 and Editor roles for IEEE TRO and RA-L Teaching: Advanced Topics in AI (COMP4620/8620) Advanced Topics in Machine Learning (COMP4680/8650) Algorithms (COMP3600/6466)

Oras Alabasمشاهده پروفایل

پژوهشگر

• Survival Analysis
• Multilevel Modeling
• Structural Modeling
• +۳ مورد دیگر

Oras Alabas serves as a Research Associate in the Division of Musculoskeletal & Dermatological Sciences, specializing in statistical analysis for the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR). This drug safety registry evaluates long-term treatment outcomes for psoriasis patients in real-world clinical settings. Education: Doctor of Philosophy His research focuses on advanced statistical methodologies including survival analysis, mixed multilevel modeling, and structural modeling applied to dermatological epidemiology. He investigates drug safety profiles, treatment response predictors, and real-world utilization patterns of biologic therapies for moderate-to-severe psoriasis, with particular emphasis on cohort study designs and pharmacovigilance. Recent publications demonstrate consistent application of sophisticated statistical techniques to BADBIR registry data, revealing critical insights about IL-23/IL-17 inhibitor performance, age-related treatment outcomes, and combination therapy safety. His work bridges clinical dermatology with quantitative methodology to optimize biologic treatment strategies. Alabas actively collaborates within the international BADBIR Study Group, contributing to evidence-based dermatological practice. His research directly supports UN Sustainable Development Goal 3 (Good Health and Well-being) through pharmacovigilance and treatment optimization for chronic skin conditions.