جست‌وجوی استاد و پژوهشگر

Yana Litovskyمشاهده پروفایل

پژوهشگر

• Behavioral Science
• Decision Making
• Health-Related Decision Making
• +۴ مورد دیگر

Yana Litovsky is a behavioral scientist and postdoctoral researcher at the Department of Banking and Finance, University of Innsbruck. Her work focuses on decision-making processes related to time, attention, information, and health, with a particular emphasis on curiosity and news consumption. She explores how individuals prioritize and engage with critical resources, including their psychological underpinnings and real-world implications. Research Interests Her primary research areas include: - Behavioral science frameworks for understanding resource allocation (time, information) - Curiosity-driven decision making and its applications in health contexts - Psychology of information seeking and news consumption patterns - Consumer behavior in time-money tradeoffs and economic decisions - Global entrepreneurship trends with a focus on youth and gender disparities Recent Research Trends Her recent work (2024) emphasizes leveraging curiosity to counteract health information avoidance, offering insights into behavioral interventions for public health. Earlier studies (2013-2017) explored entrepreneurship dynamics, particularly youth and women's roles in global markets. She also investigates cognitive biases in decision-making, such as loss aversion, and their impact on information preferences. Advising & Grants No formal advisees/students are listed in her current profile. Her research has been concentrated on collaborative projects like the Global Entrepreneurship Monitor (GEM) reports.

• Household Finance
• Portfolio Choice
• Financial Advisors
• +۶ مورد دیگر

Stephen G. Dimmock is a Professor in the Department of Finance at the National University of Singapore (NUS) Business School and a fellow of the Asian Bureau of Finance and Economics Research. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and a Bachelor of Commerce from the University of Saskatchewan. Research Interests: Household Finance Portfolio Choice Financial Misconduct Behavioral Finance Endowment Fund Management Capital Gains Taxation Publications reveal expertise in financial advisor misconduct, portfolio underdiversification, H-1B visa impacts on entrepreneurship, and regulatory oversight of hedge funds. His work appears in journals like the American Economic Review, Journal of Finance, and Management Science. Scientific Awards: Best paper awards at leading international conferences Multiple teaching awards at NUS Teaching: Dr. Dimmock has taught investments, fixed income, and options courses at MBA, MSc, and undergraduate levels.

Matteo Plonerمشاهده پروفایل

استاد

• Behavioral Economics
• Behavioral Finance
• Experimental Economics
• +۳ مورد دیگر

Matteo Ploner is a Full Professor at the Department of Economics and Management , University of Trento, and Deputy Coordinator of the Doctoral Programme in Economics and Management under the Doctoral School of Social Sciences. He also serves as Deputy Manager of the Cognitive and Experimental Economics Laboratory (CEEL) at the University of Trento. Academic Roles: Full Professor, Deputy Coordinator (Doctoral School), Deputy Manager (CEEL) Location: Via Inama, 5 - 38122 Trento Contact: matteo.ploner@unitn.it Research Interests: His work focuses on Behavioral Economics , Behavioral Finance , and Experimental Economics , examining human decision-making in economic environments. His research spans topics like cooperation in multicultural societies, information avoidance in climate decisions, algorithmic delegation, and welfare dynamics in advisory markets. Recent Publications highlight experimental analyses of skewness-seeking in finance, cognitive barriers to energy efficiency, and behavioral interventions in low-income contexts. He also explores mental accounting principles and the interplay between trust and innovation through experimental frameworks. Labs & Teams: He is actively involved in the Cognitive and Experimental Economics Laboratory (CEEL) , contributing to experimental market analysis and behavioral research.

Naser Pourazadمشاهده پروفایل

مدرس ارشد

• Digital Marketing
• Consumer Behavior
• Social Media Marketing
• +۷ مورد دیگر

Naser Pourazad is a Senior Lecturer in Marketing at Flinders University, with affiliations to the Centre for Social Impact, Australian Industrial Transformation Institute, Jeff Bleich Centre for Democracy and Disruptive Technologies, and Torrens Resilience Initiative. His work bridges digital marketing, community resilience, and cultural diversity. PhD in Marketing, Flinders University (2018) MA in Business Administration, Ferdowsi University of Mashhad (2010) BSc in Statistics, Ferdowsi University of Mashhad (2008) Research focuses on digital transformation, agricultural resilience, defence capability, and social impact. His projects emphasize resilience frameworks, cross-cultural marketing, and data-driven decision-making. Articles highlight influencer marketing, mobile app engagement, and digital inclusion. 2023 Research Excellence Award (Early Career) 2023 Journal of Advertising Research Keynote 2021 Reviewer of the Year, Journal of Consumer Behaviour He chairs the CBGL Business Research Strategy Group and HDR Journal Club, mentors early-career researchers, and applies industry experience from Iran Dairy Industrial Co. to academic work.

Liu Hongyanمشاهده پروفایل

استاد

• Big data management and analysis
• machine learning
• data mining
• +۷ مورد دیگر

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

Yue Qianمشاهده پروفایل

استاد

• Gender Studies
• Family Sociology
• Social Inequality
• +۵ مورد دیگر

Dr. Yue Qian is a Professor of Sociology at the University of British Columbia (Faculty of Arts) , focusing on gender, family, work, and inequality in global contexts. Her research spans assortative mating, occupational segregation, and migration dynamics , with significant work on the social and mental health impacts of the COVID-19 pandemic . She has published over 60 articles in top-tier journals like Nature Human Behaviour and PNAS . PhD, The Ohio State University (2016) MA, The Ohio State University (2012) BA, Renmin University of China (2010) Her research examines how gender intersects with family, work, and population processes to shape well-being and societal inequality. Key areas include patterns of assortative mating, family/work gender inequality, and health dynamics. Recent work investigates digitalization of family life and gendered pandemic impacts . Articles show trends in cross-national family sociology , digital dating , and mental health during crises . UBC Killam Research Prize (2023) Public Engagement Award (2023) Canadian Sociological Association’s Early Investigator Award (2022) Alexis Walker Award (2019) Dean of Arts Faculty Research Award (2019) Dr. Qian mentors graduate students in knowledge production , co-authoring with them on topics like digital dating and gender adaptation in China . She actively engages with public sociology through her WeChat blog "Ms-Muses" (60,000+ subscribers) and TED-style talks viewed 3M+ times. Her work influences UN, World Bank, and WHO policy discussions.

Jelena Zdravkovicمشاهده پروفایل

استاد

• Requirements Engineering
• Enterprise Modeling
• Business Process Management
• +۶ مورد دیگر

Jelena Zdravkovic is a Professor and Head of the Department of Computer and Systems Sciences (DSV) at Stockholm University. She leads the PRECIS research group which focuses on Process, Requirements, Enterprise, Capability, and Information Systems modelling. Her work spans theoretical and practical aspects of enterprise and IT solutions with a particular emphasis on digital transformation. Professor Zdravkovic's research interests center around Digital Business Ecosystems , Digital Twins , and Data-driven Requirements Engineering . Her work in Enterprise Modeling explores capability-oriented and consumer-oriented approaches to requirements engineering. She investigates how digital transformation and big data can be leveraged to improve requirements elicitation processes, and how organizations can model and manage complex digital business ecosystems. Her research has significant implications for how businesses can adapt to rapidly changing technological environments while maintaining resilience and competitiveness. Her recent publications reveal a clear trajectory toward integrating artificial intelligence with digital modeling techniques, particularly in the context of smart buildings and business ecosystems. There's a consistent focus on how data-driven approaches can transform traditional requirements engineering practices, making them more responsive to the velocity and variety of digital data sources. Her work bridges theoretical modeling with practical applications across various industries including healthcare, energy, and transportation. Professor Zdravkovic has been actively involved in mentoring PhD students, including supervising research on the Management Framework of Resilient Digital Business Ecosystems. She has participated in numerous national and international projects focused on interoperability and model-driven engineering, securing research funding for innovative work at the intersection of business and technology. She leads the PRECIS research group which deals with theories, methods and tools for analysis and design of organizational and IT solutions in congruence. The group's research covers three key topics – Enterprise Modelling, Business Process Management, and Conceptual Modelling. Their work brings together academic rigor with practical applications to solve real-world business challenges through innovative information systems approaches.

Alla Shefferمشاهده پروفایل

استاد

• Geometry Processing
• Computer Graphics
• Discrete Geometry
• +۷ مورد دیگر

Alla Sheffer is a Professor and Associate Head of Faculty Affairs in the Department of Computer Science at the University of British Columbia, Faculty of Science. She is affiliated with multiple research centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Institute of Applied Mathematics, and ICICS (Institute for Computing, Information and Cognitive Systems). B.Sc., Hebrew University, Jerusalem (1991) M.Sc., Hebrew University, Jerusalem (1995) Ph.D., Hebrew University, Jerusalem (1999) Postdoctoral Research Associate, University of Illinois, Urbana-Champaign (1999-2001) Assistant Professor, Technion, Israel (2001-2003) Assistant Professor, University of British Columbia (2003-2008) Associate Professor, University of British Columbia (2008-present) Professor Sheffer's research focuses on geometry processing, addressing algorithmic challenges in digital shape modeling and manipulation. Her work primarily deals with discrete geometry representations, specifically meshes (polygonal model representations), with applications in computer graphics and computer-aided engineering. She utilizes tools from computational and differential geometry, discrete mathematics, and graph theory to generate, manipulate, and edit discrete geometric models. Her research spans virtual and augmented reality, visual computing, and 3D modeling, with significant contributions to sketch-based modeling, mesh processing, and cloth simulation. The 15 most recent publications reveal a consistent research trajectory in geometry processing, with recent work focusing on vector sketch processing, VR drawing tools, and advanced mesh manipulation techniques. Her work demonstrates a strong connection between human perception and computational methods, particularly in the interpretation of freehand sketches and the generation of perceptually-accurate geometric representations. The recurring themes across her publications include flowlines, curve networks, mesh parameterization, and the application of perceptual studies to improve algorithmic outputs. Eurographics Fellow ACM Fellow IEEE Fellow Royal Society of Canada Fellow SIGGRAPH Academy Member UBC Killam Research Prize NSERC Discovery Accelerator Supplement IBM Faculty Award Professor Sheffer has supervised numerous doctoral and master's students, with recent theses focusing on geometric mesh processing, vector sketch interpretation, VR drawing tools, and garment modeling. Her research group maintains strong connections with industry through various partnerships and has received substantial grant funding to support their innovative work in geometry processing and computer graphics. She teaches courses in computer graphics, geometric modeling, and video game programming, contributing significantly to both undergraduate and graduate education in computer science.

Christine Trampuschمشاهده پروفایل

استاد

• Comparative Political Economy
• Economic Sociology
• Financialization
• +۷ مورد دیگر

Christine Trampusch is a Full Professor at the Chair of International Comparative Political Economy and Economic Sociology at the Faculty of Management, Economics and Social Sciences , University of Cologne. She serves as a Liaison Professor to the Max Planck Institute for the Study of Societies and is actively involved in the ECONtribute Cluster of Excellence . Her work focuses on: Comparative Political Economy Financialization of states and markets Digitalization in capitalism Case Study Methodology Key research initiatives include: Leading DFG project on Municipalities and their Expectations on Pay-Offs of Swap Deals (since 2016) Co-director of GOVPET (Governance in Vocational and Professional Training) at St. Gallen (since 2015) Editorial board member of European Journal of Political Research and German Politics journals Her publications span topics from: Financialization of sovereign debt Migration impacts on occupational labor markets Institutional change in welfare states Power dynamics in digital capitalism Scientific recognition includes: Wolfgang-Enke-Price (2001) for outstanding dissertation She actively collaborates with: University of Edinburgh University of St. Gallen Max Planck Institute networks International socio-economic research communities

Anna Korbaمشاهده پروفایل

استادیار

• Machine Learning
• Nonparametric Statistics
• Kernel Methods
• +۵ مورد دیگر

Anna Korba is an Assistant Professor at École Polytechnique, specifically affiliated with ENSAE/CREST in the Statistics Department since September 2020. She is also a co-administrator of the Master Data Science program at École Polytechnique. Her academic journey has positioned her as a leading researcher in machine learning, with particular expertise in kernel methods, optimal transport, and statistical optimization. Dr. Korba received her PhD from Telecom ParisTech in 2018 under the supervision of Prof. Stephan Clémençon. Prior to her current position, she was a postdoctoral researcher at University College London's Gatsby Computational Neuroscience Unit working with Arthur Gretton from December 2018 to August 2020. Her academic foundation includes a Master's degree in Machine Learning and Computer Vision (MVA) from ENS Cachan and ENSAE in 2015. Anna Korba's research primarily focuses on machine learning with emphasis on kernel methods, optimal transport, optimization, particle systems, and preference learning. Her work bridges theoretical statistics with practical machine learning applications, particularly in developing novel sampling and optimization methods. She has made significant contributions to understanding Wasserstein gradient flows, density ratio estimation, and variational inference techniques. Her publication record demonstrates a strong trajectory in top-tier machine learning conferences including ICML, NeurIPS, AISTATS, and ICLR. Her research shows a clear evolution from foundational work on ranking and preference learning during her PhD to more recent contributions in Wasserstein-based optimization, sampling methods, and deep probabilistic modeling. The interdisciplinary nature of her work connects statistics, optimization theory, and practical machine learning applications. Top 10% Oral Presentation at AISTATS 2022 Top 15% Long Oral Presentation at ICML 2021 She actively mentors PhD students and postdoctoral researchers, currently advising seven PhD candidates and having successfully guided several alumni to prestigious positions. Dr. Korba also contributes to the academic community through her role in administering the Master Data Science program and collaborating with researchers across institutions worldwide. As part of the CREST research center, Dr. Korba works within a vibrant team of researchers focused on statistics, machine learning, and their applications to economic and social sciences. Her research group includes current PhD students and postdocs working on various aspects of her research interests, creating a dynamic environment for advancing the field of statistical machine learning.

• Marine Ecology
• Global Change Biology
• Fisheries Management
• +۱۲ مورد دیگر

Professor Brendan Kelaher is a marine biologist with over 20 years of experience at Southern Cross University , where he serves as Chief Remote Pilot and Chair of the Animal Care and Ethics Committee. His work integrates drone technology with marine ecology to address critical challenges in coastal ecosystems and climate change adaptation. With a BSc (Hons) and PhD from the University of Sydney , his research spans marine wildlife monitoring , 4D habitat mapping , fisheries biology , and cloud brightening to prevent coral bleaching. He teaches Marine Megafauna and Drone Technology units in the Bachelor of Science program. His recent publications highlight advancements in drone-based marine monitoring , plastic pollution impacts on macroalgal decomposition, and climate engineering for reef preservation. Thematic keywords include Marine Ecology , Climate Change Mitigation , and Drone Technology , with sub_fields like Shark Behavior Analysis and Plastic-Biodegradation Interactions . Outstanding Teaching Award (2021) Senior Researcher Award for Research Excellence (2022) Outstanding Teaching Excellence Award (2023) He supervises students in marine wildlife monitoring , drone habitat mapping , and climate change adaptation research. His affiliations include the National Marine Science Centre and Faculty of Science and Engineering at Southern Cross University.

Paul Brindleyمشاهده پروفایل

مدرس ارشد

• Digital Representations of Landscape
• GIS Mapping
• Health Inequality
• +۵ مورد دیگر

Dr. Paul Brindley is a Senior Lecturer at the School of Architecture and Landscape , University of Sheffield, specializing in geospatial analysis of human-landscape interactions. His work combines GIS, statistics, and digital data to address urban greenspace equity, rural-urban classification, and health-environment linkages. Senior Lecturer in GIS and Spatial Analysis Key researcher in the NERC-funded Improving Wellbeing through Urban Nature (IWUN) project Co-author of official Rural-Urban Classification for England and Wales Research focuses on: Urban Greenspace Accessibility using GPS and social media data Health Inequality Mapping through epidemiological GIS studies Vague Geographic Objects modeling of subjective spatial boundaries Computational Neighborhood Mapping via web data mining Project leadership includes: 2016-2019: IWUN Work Package 1 (Sheffield health-green space analysis) 2013-2014: Rural-Urban Classification updates for 2011 Census 2015: Real-Time Bus Data Mapping system development Teaching modules: LSC119: The Changing Landscape LSC336: Landscape Planning Toolkits LSC5020: Rural Landscape Planning GIS Workshops Professional contributions: Co-developer of Crime Map Analyst toolkit for non-GIS experts Joint Director of Learning and Teaching Links Member of Creative Spatial Practices initiative

• Entrepreneurship
• Innovation Management
• Technology Strategy
• +۴ مورد دیگر

Scott Shane is the A. Malachi Mixon III Professor of Entrepreneurial Studies and Professor of Economics at the Weatherhead School of Management, Case Western Reserve University, where he has been faculty since 2003. As the school's most highly cited researcher, his work bridges entrepreneurship, economics, and neuroscience with over 94 scholarly articles and 16 books including award-winning titles like Illusions of Entrepreneurship and Fool's Gold . Education: PhD, University of Pennsylvania (1992) Master of Science, University of Pennsylvania (1991) Master of Science, Georgetown University (1988) AB, Brown University (1986) Research Focus: Shane's work centers on five interconnected domains: (1) opportunity discovery and evaluation processes; (2) university spin-offs and technology commercialization; (3) business format franchising dynamics; (4) angel investment mechanisms; and (5) the genetic and neural underpinnings of entrepreneurial behavior. His research uniquely integrates biological perspectives with traditional entrepreneurship theory, challenging conventional wisdom through rigorous empirical analysis. Publication Trends: Recent work shows increasing interdisciplinary convergence, particularly in neuroscience applications to investor decision-making and founder behavior. His 2020-2025 publications demonstrate heightened focus on pitch dynamics, pandemic economic impacts, and genetic factors, while maintaining his signature critical analysis of entrepreneurship myths. The consistent appearance in top journals like Management Science and Academy of Management Journal underscores his field leadership. Scientific Recognition: Global Award for Entrepreneurship Research (2009) Weatherhead Enduring Impact Award (2015) Case Western Faculty Distinguished Research Award (2017) Multiple Best Business Book Awards for Illusions of Entrepreneurship and Fool's Gold Academy of Management Best Paper Award (2020, 2021) Professional Engagement: Beyond academia, Shane serves as Managing Director of the Comeback Capital Fund (investing in Heartland startups) and previously held board positions at JumpStart Inc. (2008-2009) and NorthCoast Angel Fund (2006-2018). He has consulted globally for organizations seeking innovation strategy guidance and taught executive education programs worldwide, while his classroom instruction focuses on entrepreneurial finance and technology strategy. Research Infrastructure: Shane's work is supported through the Greif Center for Entrepreneurship at Weatherhead, where he has directed major projects on technology commercialization and new venture finance. His current research leverages fMRI technology and genetic data to explore biological foundations of entrepreneurship, collaborating with interdisciplinary teams across economics, psychology, and neuroscience departments.

• Architectural Planning
• City Planning
• Spatial Planning
• +۵ مورد دیگر

Dr. Haruhiko Goto is a Professor at Waseda University's School of Creative Science and Engineering, Department of Architecture. With a career spanning over four decades, he has served in multiple leadership roles including Executive Vice President and Vice President at Waseda University, and as President of The City Planning Institute of Japan. His work focuses on Urban Design , Regional Development , and Community Engagement through architectural and planning lenses. Education: PhD, MA, and BA in Architecture from Waseda University His research systematically examines environmental cognition and subjective well-being in urban contexts, analyzing how spatial experiences affect social dynamics. Recent studies investigate defensive architecture in public spaces, urban redevelopment of shrines , and post-disaster community reconstruction . His publications demonstrate strong integration between urban environmental psychology and place-based social systems . With over 14 refereed publications and 11 citations, his work addresses contemporary urban challenges including social isolation , work-life design , and cultural landscape preservation . As a leader in his field, he has received multiple planning design awards and contributed to national urban policy discussions. Scientific Awards: City Planning Institute of Japan's 60th Anniversary Commemorative Project Awards (2011) Minister of Land Infrastructure's Land Use Model Award (2010) Good Design Award (2010) Japan Institute of Architects Award (2005) As an academic leader, he has chaired numerous professional organizations including The World Society for Ekistics and The Japan Society of Lifology , and contributed to policy development through committee memberships in Japan Academic Council and Urban Planning Institute of Japan .

• Applied Probability
• Operations Research
• Computational Biology
• +۴ مورد دیگر

Hiroshi Toyoizumi is a Professor at Waseda University's Faculty of Commerce and Graduate School of Accountancy, with a Ph.D. in Mathematical Physics from Waseda University. His work bridges Applied Probability , Operations Research , and Computational Biology , focusing on stochastic modeling across biological and network systems. Research Interests Stochastic Models in Biology : Analyzing social queues in hover wasps and meiotic DSB regulation using quasi-birth-death processes and survival analysis. Network Security : Modeling computer virus spread on scale-free networks and proposing active defense strategies. Queueing Theory : Developing analytical frameworks for on-demand streaming, quantum merging, and blockchain-based systems. Article Trends Recent work (2020-2024) explores nonlocal diffusion , quantum queueing , and swarm behavior in financial markets . Mid-2010s studies focus on cooperative breeding and DNA recombination dynamics . Early papers (pre-2010) examine computer virus ecology , secure group communication , and deterministic queue analysis . Scientific Awards Biotechno 2013 Best Paper Award IEICE Switching Workshop SSE Research Award (1999) IEICE Young Research Engineer Award (1997) Teaching Activities Graduate-level courses in Operations Research and Financial Engineering . Undergraduate and graduate seminars in Applied Mathematics and Probabilistic Models .