جست‌وجوی استاد و پژوهشگر

Nicole Koschate-Fischerمشاهده پروفایل

استاد

• customer insights
• digital marketing
• pricing and product management
• +۳ مورد دیگر

Nicole Koschate-Fischer is Professor and holds the GfK Chair for Marketing Intelligence at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where she currently serves as Dean of Research at the Faculty of Business, Economics and Social Sciences. She is spokesperson for the interdisciplinary research focus "Customer Insights" and founding director of the Experimental Lab for Business Insights Nuremberg (ELAN). Previously, until September 30, 2024, she served as spokesperson for the Institute of Marketing and head of the Master's in Marketing program. Professor Koschate-Fischer earned her doctorate and habilitation from the University of Mannheim after completing a degree in business administration and psychology. Her academic journey includes membership in the interdisciplinary Collaborative Research Center "Concepts of Rationality, Decision Behavior, and Economic Modeling" at Mannheim, along with research stays as visiting scholar at University of Florida and University of Texas at Austin. She has held professorships at Technical University of Kaiserslautern and HEC Paris, and served as visiting professor at University of Vienna and Central University of Finance and Economics in Beijing. Research Interests Professor Koschate-Fischer's research spans customer insights , digital marketing , pricing and product management , and marketing analytics . Her work investigates consumer behavior in digital contexts, brand partnerships, life event impacts on purchasing decisions, and the psychological aspects of pricing. She employs experimental research methods and mediation analysis to understand causal relationships in consumer decision-making processes. Her publication record demonstrates consistent high-impact research in leading journals including Journal of Marketing, Journal of Marketing Research, and Journal of the Academy of Marketing Science. Recent work focuses on digital communication phenomena like emoji usage in electronic word-of-mouth, conversational agent interactions, and the application of behavioral pricing principles in charitable contexts. Professional Recognition Full member of the Bavarian Academy of Sciences and Humanities Member of the Board of Academic Trustees of the Center for Advanced International Marketing Knowledge (AiMark) Editorial board member of Journal of International Marketing Professor Koschate-Fischer regularly serves as reviewer for leading international academic journals and presents her research at both academic and practitioner-oriented conferences. Her work receives funding from organizations including the German Research Foundation (DFG), and she maintains active collaborations with renowned companies across various industries. She has directed the Experimental Lab for Business Insights Nuremberg (ELAN) since its founding, creating a hub for interdisciplinary customer insights research that bridges academic rigor with practical business applications.

• AI Ethics
• Robotics Ethics
• Digital Ethics
• +۲ مورد دیگر

Aimee van Wynsberghe is the Alexander von Humboldt Professor for Applied Ethics of Artificial Intelligence at the University of Bonn, where she also serves as Director of the Institute for Science and Ethics (IWE). Her work focuses on integrating ethical values into AI and robotics design, positioning Bonn as a leader in human-centered AI in Europe. She co-founded the Foundation for Responsible Robotics and advises international bodies such as the European Commission and the World Economic Forum. Van Wynsberghe holds a PhD in Applied Ethics from the University of Twente (2012), an MA in Bioethics (Erasmus Mundus, 2008), an MA in Applied Ethics from KU Leuven (2007), and a BSc in Cell Biology from Western Ontario (2006). Her research spans AI ethics, robotics ethics, care ethics, and sustainable technology, with a particular emphasis on value-sensitive design. Recent publications highlight her leadership in sustainable AI, ethical robotics, and multidisciplinary approaches to AI's hidden costs. She has secured significant funding, including the Humboldt Professorship (€3.5M) and Stiftung Mercator support (€3.8M), and leads the Bonn Sustainable AI Lab. Her awards include the L’Oréal UNESCO For Women In Science Award (2018) and the Humboldt Professorship (2021). Scientific Advisory Roles: Member, European Commission High-Level Expert Group on AI (2018–2020) Director, Artificial Intelligence Lab at TU Delft (2019–2021) Co-founder, ALLAI (2019–2021) Board Member, Konrad Zuse Schools of Excellence (2022–) Labs & Teams: She founded the Bonn Sustainable AI Lab and previously coordinated the 4TU Robotics Task Force. Current affiliations include the University of Bonn’s IWE, the German National Academy of Sciences (Leopoldina), and the German Academy of Science and Literature in Mainz.

Carlos Cinelliمشاهده پروفایل

استادیار

• Causal Inference
• Statistical Methodology
• Machine Learning
• +۵ مورد دیگر

Carlos Cinelli is an Assistant Professor in the Department of Statistics at the University of Washington, where he conducts research at the intersection of causal inference, statistical methodology, machine learning, and artificial intelligence. He is also a data science fellow at the eScience Institute and affiliate faculty of the Center for Statistics and the Social Sciences, demonstrating his interdisciplinary approach to causal methodology. Dr. Cinelli received his Ph.D. in Statistics from the University of California, Los Angeles, advised by Chad Hazlett and Judea Pearl, two prominent figures in causal inference. His research focuses on developing new causal and statistical methods for transparent and robust causal claims in empirical sciences, with particular attention to challenges faced by social and health scientists. His work spans theoretical developments in causal identification, sensitivity analysis frameworks, and practical software implementations that enable researchers to assess the robustness of their causal conclusions. Cinelli's research program addresses fundamental questions about how unobserved confounding affects causal estimates and develops tools to quantify how sensitive findings are to potential violations of causal assumptions. His work on omitted variable bias frameworks has been particularly influential across multiple disciplines. Through his publications, Cinelli has established himself as a leading researcher in causal inference methodology, with papers appearing in top journals across statistics, machine learning, epidemiology, and social sciences. His work demonstrates both theoretical rigor and practical relevance, often accompanied by open-source software implementations that make his methods accessible to applied researchers. Best paper award at SBE 2024 in Econometrics Royalty Research Fund (RRF) Award recipient NSF/MMS research support As an advisor, Cinelli has successfully guided PhD students like Nick Irons to dissertation completion. He actively seeks new students with strong interests in causal inference. His research is supported by multiple funding sources including the National Science Foundation and the University of Washington's Royalty Research Fund. Cinelli contributes to the academic community through editorial work for the Journal of Causal Inference and by developing widely used software packages like sensemakr for sensitivity analysis.

• AI Ethics
• Robotics Ethics
• Digital Ethics
• +۲ مورد دیگر

Prof. Dr. Aimee van Wynsberghe is the Alexander von Humboldt Professor for Applied Ethics of Artificial Intelligence at the University of Bonn. She serves as Director of the Institute for Science and Ethics (IWE) and founded the Bonn Sustainable AI Lab. Her affiliations include the German National Academy of Sciences Leopoldina, the European Commission's High-Level Expert Group on AI (2018-2020), and advisory roles at Deloitte, the World Economic Forum, and the Konrad Zuse Schools for AI Excellence. . Education PhD in Applied Ethics, University of Twente (2012) M.A. in Bioethics, Erasmus Mundus (2008) M.A. in Applied Ethics, Catholic University of Leuven (2007) B.Sc. in Honours Cell Biology, University of Western Ontario (2006) Research Interests focus on integrating ethical frameworks into AI and robotics design. Key areas include AI ethics, robotics ethics, digital ethics, care ethics, and value-sensitive design. She pioneered ethical guidelines for care robots and explores systemic risks in AI sustainability. Publication Trends show a shift toward sustainability challenges in AI, analyzing hidden environmental costs, post-colonial biases in AI standards, and structural ethical frameworks. Her work bridges philosophy, technology, and policy to address global AI impacts. Scientific Awards L'Oréal UNESCO For Women In Science Award (2018) Grants include a 3.8M EUR Mercator Foundation grant (2022), 3.5M EUR Humboldt Professorship (2021), NWO Gravitation Grant (2020), and others. She advises governments and institutions on AI ethics and co-founded the Foundation for Responsible Robotics. Labs & Teams : She leads the Bonn Sustainable AI Lab and has directed the Artificial Intelligence Lab at TU Delft. Her work involves interdisciplinary collaborations, including the interdisplinary task force at Aarhus University (2025).

Ulrike Klugeمشاهده پروفایل

استاد

• Migration Studies
• Mental Health
• Transcultural Psychiatry
• +۴ مورد دیگر

Prof. Dr. phil. Dipl. Psych. Ulrike Kluge is a Professor and Head of the Center of Cross-Cultural Psychiatry and Psychotherapy (ZIPP) at Charité – Universitätsmedizin Berlin. She concurrently leads the Research Division for Intercultural Migration and Care Research within Social Psychiatry and serves as a Senior Researcher at the Berlin Institute for Integration and Migration Research (Humboldt University). Her work focuses on intercultural mental health services and migration-related psychosocial challenges. Research Focus: Kluge specializes in critical migration studies examining psychological impacts of displacement, ethno-psychoanalysis, psychotherapy with cultural interpreters, and group-analytic approaches in transcultural contexts. Her research portfolio includes qualitative investigations into: Mental health consequences of racism and structural discrimination Refugee-host community dynamics Language barriers in healthcare Innovative care models for forced migrants Intercultural opening of mental health systems Key Projects: FOCUS: Forced displacement and refugee-host community solidarity TransVer: Network for intercultural opening of psychosocial care systems reWoven: Refugee women and psychosocial volunteer engagement SeGeMi: Study group on Mental Health and Migration Effectiveness studies on native-language counseling Professional Engagement: She develops training programs for clinicians working with refugees, provides supervision services, and coordinates Berlin-wide networks for refugee mental health care. Her work significantly contributes to professionalizing psychosocial support for asylum seekers through the 'Welcome Culture at Charité' initiative.

Niina Zuberمشاهده پروفایل

پژوهشگر

• Ethical Software Design
• Digital Ethics
• Agile Software Development
• +۶ مورد دیگر

Niina Zuber is a Research Coordinator at the Bavarian Institute for Digital Transformation (bidt), focusing on ethical software design, agile development processes, and the intersection of digital technologies with democratic systems. Her work emphasizes integrating ethical principles into technical systems through frameworks like EDAP (Ethical Deliberation for Agile Processes). PhD in Ethics and Software Development (LMU Munich) Former roles: Research Consultant (Cognostics AG), LMU Munich, Center for Digitalization Bavaria (ZD.B) Key projects: EDAP, ReCREATIV, AI Gender Bias Dialogue Her research spans: ethical requirements management, value-sensitive design, AI's impact on creativity, facial recognition regulation, and digital responsibility frameworks. She regularly contributes to academic publications and public discourse on digital ethics. Scientific Contributions: Co-developed EDAP framework for ethical agile software processes Investigated ethical challenges in large language models (Vox ChatGPT) Explored gender bias in AI systems Studied generative AI's impact on creative industries Contributed to regulatory discussions on facial recognition Zuber collaborates across disciplines, connecting philosophy with technical implementation through projects like EDAP and publications in journals such as Philosophy & Technology and Informatics Spectrum.

Ulrike Berendtمشاهده پروفایل

استاد

• Family Sociology
• Housing Policy
• Urban Sociology
• +۷ مورد دیگر

Prof. Dr. Ulrike Berendt is a University Professor for Practice-Oriented Social Sciences, specializing in Family and Housing, at the University of Duisburg-Essen's Faculty of Social Sciences. She has held this position since the Summer Semester of 2002, following her appointment at Gerhard-Mercator-University Duisburg (which later became the University of Duisburg-Essen). From SS 2008 to WS 2009/10, she served as Vice Dean for Studies and Teaching at the Department of Social Sciences. Her educational background includes studying social sciences, journalism and communication studies, and law at Ruhr University Bochum from 1989-1995, where she graduated with a degree in applied social research with a specialization in sociology. She received her doctorate in Social Sciences (Dr. rer. soc) from Ruhr University Bochum in 1998, supported by a doctoral scholarship from 1995-1997. Berendt's research focuses on family sociology and social change, urban and housing sociology, policy analysis, and governance. Her work examines generational relations, gender equality policy in Europe, welfare state models, urban development, migration in cities, and civil society. She analyzes policy fields, theoretical foundations, policy processes, actor networks, governance theories, and decision-making mechanisms. Her research consistently bridges academic theory with practical social policy applications. Her publication history reveals a strong emphasis on practical social science applications, particularly in housing policy, social welfare, and urban development. The most recent works show increasing focus on gender-sensitive housing solutions, neighborhood stabilization through cross-sectoral cooperation, and adapting urban environments to demographic changes like aging populations. Her research demonstrates consistent engagement with practical policy challenges faced by municipalities and social service providers. Berendt has held significant administrative roles including Chair of the Examination Board for BA Political Science, Equal Opportunities Officer for the Department of Social Sciences, and membership on the Faculty Council, Tuition Fees Steering Group, and Senate Commission for Teaching, Studies and Continuing Education. She has led numerous research projects funded by government ministries, particularly the Ministry for Health, Social Affairs, Women and Family of North Rhine-Westphalia. Her team includes scientific assistants Martin Krybus and Till Behmenburg, along with secretariat support from Stefanie Schuylen-Matuschek. Her work bridges academic research with practical social policy implementation, focusing on real-world social challenges in urban environments.

Ioana Jivetمشاهده پروفایل

استاد پژوهشی

• Learning Analytics
• Educational Technology
• Artificial Intelligence in Education
• +۵ مورد دیگر

Ioana Jivet is a Research Professor and Head of the Learning Analytics Research Professorship at FernUniversität in Hagen, Germany. She leads interdisciplinary research focused on leveraging learning analytics to enhance educational practices through data-driven insights. Her role in the CATALPA Graduate School involves collaboration across disciplines to translate research into actionable educational strategies. Educational Background: PhD in Learning Analytics from Open Universiteit Nederland (2021) Postdoc at TU Delft (2019–2021) Research roles at DIPF (2021–2024) and studiumdigitale (2021–2024) Research Interests: Self-regulated learning mechanisms and feedback systems Cultural and ethical dimensions of learning analytics adoption Design of human-centered learning dashboards Privacy concerns in educational technology AI-driven educational decision support systems Her work emphasizes practical applications, such as developing adaptive feedback tools and investigating cross-cultural usage patterns of learning analytics platforms. Professional Contributions: Secretary of the Society for Learning Analytics Research (SoLAR) General Chair for the 2024 European Conference on Technology Enhanced Learning (EC-TEL) Co-editor of Springer volumes on technology-enhanced learning Lab & Teams: Active in the Learning Analytics research group at FernUniversität, focusing on translational research between academic theory and classroom practice.

Kevin Baumمشاهده پروفایل

پژوهشگر

• Explainable AI
• AI Ethics
• AI Fairness
• +۴ مورد دیگر

Kevin Baum is a computer scientist currently serving as the deputy head of the Neuro-Mechanistic Modelling (NMM) department at the German Research Center for Artificial Intelligence (DFKI) since January 2023, and head of the Centre for European Research in Trusted AI (CERTAIN) at DFKI since December 2023. Based at the Saarland Informatics Campus in Saarbrücken, Germany, he completed his doctorate in philosophy in March 2024, combining technical expertise with philosophical depth. His work bridges computer science with ethics, focusing on making AI systems transparent and accountable to human users. Dr. Baum's research program centers on interdisciplinary questions concerning the explainability and transparency of AI systems. His work spans multiple significant projects including the Explainable Intelligent System (EIS) initiative and project E7 of the Transregional Collaborative Research Centre 248 "Foundations of Perspicuous Software Systems" (CPEC). He has developed frameworks for understanding stakeholder perspectives on explainable AI and investigated how different information types about automated systems affect user perceptions of fairness and justice. His approach consistently combines theoretical foundations with practical implementations across diverse contexts. Analysis of his publication trends reveals a clear trajectory from theoretical foundations in machine ethics toward practical implementations of explainability requirements in real-world contexts. His work demonstrates increasing focus on human oversight effectiveness, fairness monitoring, and ethical considerations across various AI applications. He has made significant contributions to both academic discourse and practical AI development guidelines, with publications spanning computer science, philosophy, psychology, and human-computer interaction venues. Award for Ethics for Nerds lecture series As a research leader, Dr. Baum contributes to shaping AI development practices through his departmental leadership and interdisciplinary collaborations. His current work with CERTAIN focuses on establishing European research standards for trusted AI development and deployment, emphasizing the practical implementation of ethical requirements in AI systems. He maintains active collaborations across multiple institutions and disciplines, reflecting his commitment to bridging technical and philosophical considerations in AI development. At DFKI, he leads research that combines neuroscientific insights with AI development to create more interpretable systems. The NMM department focuses on both theoretical research on explainable AI foundations and practical applications in various domains, with particular attention to how different stakeholders understand and require explanations from AI systems.

Pablo Jiménez-Calvoمشاهده پروفایل

پژوهشگر ارشد

• Photoelectrocatalysis
• Artificial Photosynthesis
• Energy Materials
• +۳ مورد دیگر

Pablo Jiménez-Calvo is a Marie Skłodowska-Curie Post-doctoral Fellow and Research Fellow in the Department of Chemistry and Pharmacy, leading the 'Carbon-Inorganic Interface Materials' project since 2023. His research focuses on energy materials for solar fuel production, particularly photoelectrocatalysis, artificial photosynthesis, and carbon nitride-based systems. He has held postdocs at the Max Planck Institute, University of Paris Saclay, and previously earned his Dr.-Ing. from the University of Strasbourg (2019). Research interests include carbon nitride heterojunctions, metal nanoparticle integration, and sustainable hydrogen production. His 2025 work highlights advancements in photocatalytic stability and organic synthesis, while 2023/2024 studies emphasize strategic hydrogen value chains and device engineering for carbon neutrality. Awards include the 2024 Materials Today Catalysis Rising Stars Award and Marie Curie Fellowship (2023). His articles span 15+ peer-reviewed publications since 2020, focusing on photocatalytic efficiency, nanomaterial design, and energy systems innovation. Collaborations include the Bachmann Group and institutions like the Solid-State Physics Laboratory (University of Paris Saclay).

Angelika Krehlمشاهده پروفایل

استاد

• Urban Spatial Structure Analysis
• Regional Economics
• Economic Geography
• +۵ مورد دیگر

Professor Angelika Krehl serves as Professor for Economics, regional and sectoral structural policy and Director of the NIERS Institute (Lower Rhine Institute for Regional and Structural Research) at Niederrhein University of Applied Sciences since 2020. Her academic leadership spans regional economics, urban spatial structure analysis, and sustainability research within the Department of Economics. Her research focuses on theoretical foundations and empirical analysis methods of urban spatial structures, regional economics, economic geography, and GIS-based regional research with emphasis on sustainability aspects. Key methodologies include polycentricity measurement, density pattern analysis, and integrated spatial modeling using remote sensing data. Her work bridges urban morphology with economic development processes. Recent publications reveal strong trends in polycentric urban systems analysis, corporate regional responsibility frameworks, and sustainable land use economics. Over 70% of her recent work examines German metropolitan regions through morphological polycentricity lenses, with increasing focus on sustainability transitions and social innovation mechanisms since 2020. Methodological innovation in GIS integration and spatial metrics development characterizes her publication trajectory. Professor Krehl leads multiple major research initiatives including RediStar (diversity-sensitive startup funding), AUFBRUCH (sustainable bioeconomy transformation), R(h)einTex (textile recycling innovation), and R³ (corporate regional responsibility). Her institutional leadership extends to directing NIERS Institute and serving on the university's Advisory Board for Research and Transfer. As Director of NIERS Institute, she oversees collaborative research teams focused on regional structural policy, with particular emphasis on lignite phase-out governance, sustainable learning projects, and regional innovation ecosystems. Her work integrates academic research with practical policy implementation through close partnerships with regional stakeholders.

• Embedded Systems
• Compilers
• Hardware-Software Co-Design
• +۵ مورد دیگر

Prof. Dr. rer. nat. Rainer Leupers is a faculty member at RWTH Aachen University, chairing the Department of Software for Systems on Silicon. His research focuses on embedded systems, hardware-software co-design, virtual prototyping, and security in computing-in-memory architectures. He has published extensively on RRAM accelerators, logic locking, and neuromorphic security. Chair of Software for Systems on Silicon Research in hardware security and deep learning accelerators Recent publications on cross-tool virtual frameworks and thermal side-channel attacks His work bridges system-level modeling with practical security implementations, emphasizing reliability and performance in heterogeneous computing environments. Key trends in his 2025-2023 articles include compute-in-memory optimization, neural network inference efficiency, and security vulnerabilities in emerging hardware. Awards and formal recognitions are not explicitly detailed in the provided materials. He has not directly mentioned advising students or research grants in the given text fragments. The chair's contact information includes an office at ICT Cube 1, Electrical Engineering, Aachen, with direct email and website links.

Michael Merzمشاهده پروفایل

استاد

• Quantitative Risk Management
• Actuarial Valuation
• Stochastic Claims Reserving
• +۵ مورد دیگر

Prof. Dr. Michael Merz holds the Chair of Mathematics and Statistics in Economics at the University of Hamburg's Faculty of Business Administration. He specializes in actuarial science, risk management, and quantitative finance. His research focuses on stochastic claims reserving, solvency frameworks (Basel II/Solvency II), credibility theory, and risk-adjusted performance measurement. Education: Completed his Diplom in Mathematics (1.1 grade) at the University of Tübingen (2001) with a focus on stochastic processes and mathematical statistics. Earned his PhD (summa cum laude) in 2004 at Tübingen with a thesis on credibility models using orthogonal projections. Previously studied in Valencia, Spain (1998-1999). Research Interests: Actuarial valuation, stochastic reserving methods, risk theory, filter/control theory applications in finance, and capital allocation strategies. Key areas include Solvency II compliance, pricing models for insurance risks, and quantitative risk management frameworks. Publications: Authored/co-authored influential works like Financial Modelling, Actuarial Valuation and Solvency in Insurance (Springer, 2013) and Stochastic Claims Reserving Methods in Insurance (Wiley, 2008). Recent articles address claims uncertainty quantification, multivariate reserving models, and cost-of-capital approaches. Awards: SCOR Prize for Actuarial Science (2004), Promotionspreis der Universität Tübingen (2005), and academic distinctions in physics competitions during high school. Professional Roles: Program director for the Wirtschaftsmathematik program, speaker of the Institute for Statistics and Econometrics, and adjunct faculty at the University of Basel's Actuarial Science program. Served as actuary at Basler Versicherung (2004-2006) and held junior professorships at University of Tübingen (2006-2009).

Katharina Grafمشاهده پروفایل

پژوهشگر ارشد

• Cultural Anthropology
• Food Studies
• Gender Studies
• +۱۲ مورد دیگر

Dr. Katharina Graf is a Research Fellow at the Institute of Cultural Anthropology and European Ethnology, Faculty of Linguistics, Cultures and Arts, Goethe University Frankfurt. She leads the DFG-funded ethnographic research project Cyborg Cook – Domestic Cooking in the Digital Age , investigating how digital technologies transform domestic cooking practices, knowledge reproduction, and socio-political negotiations around gender, class, and race in German households. Previously, she was a Postdoctoral Research Fellow at the SOAS Food Studies Centre, University of London, where she conducted research on bread as a measure of urban stability in Morocco, funded by the AXA Research Fund. Her educational background includes a PhD in Social Anthropology from SOAS, University of London (2016), with fieldwork in Marrakech, and a Diplom in Geography from the universities of Tübingen, Bonn, and Cologne, focusing on water supply in rural Morocco. Katharina Graf’s research lies at the intersection of cultural anthropology, food studies, gender, urban life, and science and technology studies. She explores how everyday practices—especially cooking—reflect and shape broader social, political, and technological transformations. Her work emphasizes the entanglement of material culture, digitalization, and human agency, particularly in domestic spaces. She investigates how food serves as a lens for understanding political legitimacy, social change, and human-machine relations. Her recent publications and blog posts from the Cyborg Cook project reveal a strong trend toward understanding digital domesticity through ethnographic, sensory, and feminist lenses. Themes include the role of mothers as technological pioneers, the disruption of routines by smart devices, and the multisensory experience of digital cooking practices. Her earlier work on bread in Morocco highlights how food security and culinary practices are deeply tied to political stability and state-society relations. Postdoctoral Fellowship, AXA Research Fund Principal Investigator, DFG-funded 'Cyborg Cook' project Dr. Graf has supervised undergraduate and postgraduate students at SOAS and Goethe University. While no specific grants beyond DFG and AXA are named, her role as principal investigator indicates leadership in competitive research funding. She is actively involved in academic service, including as associate book reviews editor for the FoodAnthropology Blog (Society for the Anthropology of Food and Nutrition) and former co-convenor of the Anthropology of Food Network at EASA. She disseminates research through innovative public formats such as photo exhibitions, cookery classes, and comedy clubs, reflecting a commitment to engaged scholarship. She is affiliated with the Cyborg Cook research team at Goethe University, an interdisciplinary group using ethnographic methods to study digital kitchen technologies. The project emphasizes collaborative, sensory, and participatory research approaches, often involving co-creation with participants through shared meals and observational cooking sessions.

• Data Visualization
• Immersive Analytics
• Human-Computer Interaction
• +۳ مورد دیگر

Sarah Goodwin is an academic affiliated with Monash University in Australia, specializing in data visualization, immersive analytics, and human-computer interaction. She holds a PhD in Visualisation for Household Energy Analysis from City University London (2015). Her research focuses on developing innovative visualization techniques for complex data, particularly in energy systems, healthcare, and geographic information. Key contributions include the Australian Cancer Atlas project (2024), which addressed geostatistical uncertainty visualization, and work on mixed-reality technologies embedding human values (2025). She collaborates extensively with researchers like Tim Dwyer and leads the Data Visualisation and Immersive Analytics Research Lab at Monash. Her publications span journals like IEEE Transactions on Visualization and Computer Graphics and conferences such as CHI and IEEE VAST. Research highlights include gaze analytics tools (VETA), tangible immersive systems (Uplift), and energy consumption visualization frameworks.