جست‌وجوی استاد و پژوهشگر

Megan Lawrenceمشاهده پروفایل

استادیار

• Organizational and Management Practices
• Firm Knowledge and Capabilities
• Management of New Ventures
• +۴ مورد دیگر

Megan Lawrence is an Assistant Professor of Strategic Management in the Strategy and Business Economics group at the Vanderbilt Owen Graduate School of Management . Her research focuses on organizational adaptation, knowledge evolution, and managerial strategies across firms ranging from Fortune 500 companies to startups. Education: D.B.A. in Strategy from Harvard Business School (2016), B.S.E. in Operations Research & Financial Engineering from Princeton University (2006) Her research interests include organizational management practices, firm capabilities, and structural adaptation. Articles like 'The Growth of Hierarchy in Organizations' and 'Learning to Manage Breadth' highlight her work on knowledge scope, experience repetition, and implementation performance. Scientific Awards: Brownlee O. Currey Jr. Dean’s Faculty Fellow, Poets & Quants 40-Under-40, Strategic Management Society Best Video Abstract Winner, and others Professor Lawrence teaches strategic management in MBA and Specialized Masters programs and has prior industry experience in quantitative consulting at Merrill Lynch. Her email is megan.lawrence@vanderbilt.edu .

Sandra González-Bailónمشاهده پروفایل

استاد

• Political Communication
• Social Media Analysis
• Computational Social Science
• +۳ مورد دیگر

Sandra González-Bailón is the Carolyn Marvin Professor of Communication at the University of Pennsylvania's Annenberg School for Communication and holds a secondary appointment in Sociology. As Director of the Center for Information Networks and Democracy (CIND), her research examines how communication networks shape information exposure, with implications for political engagement, mobilization dynamics, and news consumption patterns. Her methodological work bridges computational social science and political communication. Education M.S. from University of Oxford (2004) Ph.D. from University of Oxford (2007) Research Focus González-Bailón's research program investigates the intersection of technology and society, with emphasis on how digital networks transform political communication. Key areas include: Information diffusion : Studies how content spreads through social platforms during elections and crises Algorithmic curation : Examines how platform algorithms shape ideological segregation and exposure diversity Network dynamics : Maps communication patterns in online collective action and protest movements Her empirical work employs computational methods to analyze digital trace data at scale. Publication Trends Recent publications demonstrate sustained focus on social media's impact during democratic processes, particularly the 2020 U.S. election. Key thematic threads include: misinformation diffusion patterns, asymmetric polarization in news exposure, experimental analysis of platform deactivation effects, and methodological innovations in computational social science. Notable contributions appear in Science , Nature , and PNAS . Center Leadership As founding director of CIND, González-Bailón oversees research examining how digital technologies impact democratic resilience, with projects spanning misinformation analysis, network mapping of political discourse, and policy interventions for platform governance.

Anne Ozdowskaمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Game Design
• Accessibility
• +۵ مورد دیگر

Dr. Anne Ozdowska is a Research Fellow in the School of Computing at The Australian National University (ANU). Her work focuses on heuristic evaluation methods for design, inclusive technologies, and game design principles. She holds a PhD in Human-Computer Interaction from Queensland University of Technology (QUT) awarded in 2019, alongside a BCompSc degree. Her research emphasizes applying Universal Design and game mechanics to create accessible technologies. She is registered to supervise research students in these areas. Key research interests include: Heuristic evaluation frameworks for early design validation Inclusive game design for diverse audiences Augmented Reality applications in health and education Assistive technologies for neurodiverse populations Publications span topics from cross-platform multiplayer game design (2025) to foundational studies on screen time effects in young children (2012). Her work bridges academic research with practical applications, including commercialized software from her doctoral research. Professional contributions include developing GameFlow heuristic frameworks and contributing to educational interventions for students with autism spectrum disorder. Details on grants and lab affiliations are not explicitly stated in available materials.

Kristin Laurinمشاهده پروفایل

استاد

• Social Psychology
• Personality Psychology
• Motivation and Goals
• +۵ مورد دیگر

Kristin Laurin is a Professor of Psychology at the University of British Columbia (UBC), holding a PhD from the University of Waterloo (2012). Previously, she was a faculty member at Stanford Graduate School of Business and studied at McGill University. She is affiliated with the Department of Psychology within UBC’s Faculty of Arts, specializing in Social & Personality research streams. Her research explores how people’s goals and motivations interact with their beliefs and ideologies, addressing questions such as democratic support despite conflicting interests, moral rationalization after wrongdoing, and systemic social stratification. She has taught courses like PSYC 101/102 (Introduction to Psychology) and contributed to experimental studies on topics like system justification, religion’s role in societal structures, and corporate personhood perceptions. Key research areas include social inequality dynamics, moral psychology, and the psychological underpinnings of belief systems. Her work bridges experimental and theoretical frameworks to analyze how motivations drive ideological adherence and societal structures. Notable findings include the role of structure in promoting motivated action and the cultural evolutionary functions of religious beliefs. Dr. Laurin has received prestigious awards, including the Killam Faculty Research Fellowship (2019), SAGE Young Scholars Award (2018), and APS Rising Star Award (2017). She leads a lab focusing on social cognition, inequality, and moral psychology, with publications in top journals like Psychological Science and Journal of Personality and Social Psychology . Her research emphasizes the interplay between individual goals and societal systems, contributing to debates on social change and justice.

Mahsan Nouraniمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Human-Computer Interaction
• Healthcare Informatics
• +۳ مورد دیگر

Mahsan Nourani is a Research Assistant Professor at Northeastern University, specializing in intersections of human-computer interaction, artificial intelligence, and healthcare informatics. Their research focuses on explainable AI systems, user behavior in AI partnerships, and design of interactive machine learning tools. Current work explores cognitive biases in human-AI collaboration, predictive analytics in healthcare, and activity recognition in videos. Key research areas include user profiling in AI applications, trust dynamics in intelligent systems, and visual debugging tools for machine learning models. Notable projects include the HEART initiative for real-time healthcare analytics and development of the DETOXER explanation framework for temporal classification systems. Recent publications investigate nudge techniques for behavioral change (Romadoro project), anchoring bias effects in AI system trust, and evaluation of view rotation techniques in virtual reality navigation. Their work consistently bridges technical AI advancements with human-centered design principles. No academic awards are listed in the provided materials. Current affiliations include Northeastern University's research groups in AI ethics, human-computer interaction, and healthcare technology innovation.

Ronald G. Larsonمشاهده پروفایل

استاد

• Complex Fluids
• Fluid Mechanics
• Polymer Physics
• +۶ مورد دیگر

Ronald G. Larson serves as the George Granger Brown Professor of Chemical Engineering and A. H. White Distinguished University Professor at the University of Michigan's College of Engineering, with additional appointments in Mechanical Engineering and Macromolecular Science & Engineering. His research leadership spans multiple departments within the Chemical Engineering Division, where he directs the Larson Lab focused on fundamental and applied soft matter physics. His research program investigates complex fluids through computational and theoretical frameworks, emphasizing polymer physics, rheology, and molecular simulations. Key thrusts include polymer melt processing, biomembrane dynamics, colloidal systems, and polyelectrolyte coacervation. The group employs advanced techniques like Brownian dynamics, coarse-grained modeling, and multiscale simulation to address challenges ranging from industrial polymer processing to biomedical applications. Recent publications (2023-2025) reveal strong momentum in rheological modeling of complex fluids, with particular emphasis on self-healing materials, wax deposition in pipelines, and crystallization mechanisms. The work bridges fundamental molecular insights with industrial applications, demonstrating consistent high-impact output across polymer science, soft matter physics, and chemical engineering domains. The Larson Lab operates as a collaborative hub within the Chemical Engineering Department, leveraging computational resources to advance understanding of fluid mechanics and material properties. Current projects integrate machine learning with traditional modeling approaches, reflecting the group's commitment to methodological innovation while maintaining strong connections to experimental validation and real-world engineering problems.

• Sustainable Business Models
• Climate Adaptation
• Circular Economy
• +۳ مورد دیگر

Prof. Dr. Kai Michael Griese is a full professor of Business Administration with a focus on Marketing at the Faculty of Economics and Social Sciences, Osnabrück University of Applied Sciences since 2009. He holds a Dr. rer. pol. from TU Chemnitz and has extensive industry experience, including roles at Mars Incorporated and Generali Deutschland. His research emphasizes sustainable business models, climate adaptation, and circular economy, with notable contributions to event sustainability and resilience strategies. He leads the Master's program in International Business Management with a focus on sustainable business models. Key roles include Program Director for the Master's focus on Sustainable Business Models and Climate Adaptation. Griese has been affiliated with institutions like the Shanghai University of International Business and Economics (SUIBE) as a guest professor. His work integrates digitalization and sustainability, addressing challenges in logistics, energy cooperatives, and corporate culture. He has secured grants from the German Federal Environment Foundation (DBU), BMBF, and EU-funded projects like Interreg North Sea Region. Research interests span climate resilience in events, sufficiency-driven marketing, and digital entrepreneurship's role in sustainability. His projects include the KlimaEvent initiative in Bad Essen, exploring climate adaptation for municipalities. He emphasizes practical solutions through VR-based simulations and interdisciplinary collaboration.

John Hastingsمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +۵ مورد دیگر

Dr. John Hastings is a Professor in the Department of Computer Science at Dakota State University, part of the Beacom College of Computer & Cyber Sciences. With nearly 35 years of experience, he specializes in teaching and curriculum development in computer science, combining academic rigor with industry insights from his roles as an AI/ML engineer, team leader, and business owner. Education: Ph.D., Computer Science, University of Wyoming M.S., Computer Science, University of Wyoming B.S., Computer Science, University of Wyoming Research interests include machine learning, AI applications in natural language processing (LLMs), generative AI, computer vision, ecological/environmental AI, AI in games, and gamification in education. Recent publications focus on cybersecurity challenges, AI ethics, and insider threat detection. His work has been recognized with awards such as the AAAI’s Innovative Applications of Artificial Intelligence (IAAI) Award and an International IPM Award for Excellence related to the CARMA AI tool. Teaching emphasizes active learning and practical skills, including courses on programming, data structures, AI, and cybersecurity. He advocates for gamification in education to enhance student engagement and success.

Sebastian Uhrichمشاهده پروفایل

استاد

• Sport Marketing
• Sport Management
• Sport Consumer Behavior
• +۵ مورد دیگر

Sebastian Uhrich is a Full Professor of Sport Business Administration at the German Sport University Cologne. He holds a PhD and Habilitation in Marketing from the University of Rostock, Germany, and a Diploma in Sport Management from the University of Bayreuth. His research focuses on sport marketing, consumer behavior, and innovation management in spectator sports. Notable projects include exploring brand positioning in international markets and analyzing the psychological effects of rivalry in sports. Research Interests: Sport marketing strategies, consumer interactions in sports, brand rivalry dynamics, and the internationalization of team sports. His work bridges marketing theory with practical applications in sports contexts. Key Projects: "Avoiding Negative Image Transfer in Sponsorship Crises" "Rivalität und Fan-Aggressionen" (Rivalry and Fan Aggression) "Effects of Humor in Ambush Marketing" Awards: EASM 2020 Best Conference Reviewer Award Activities and Media: He frequently participates in academic conferences, delivers guest lectures, and engages with media on topics like sponsorship strategies and sports branding. His work has been featured in over 100 publications, covering areas such as fan engagement measurement and brand rivalry effects.

• Cognitive Neuroscience
• Bilingualism
• Language Processing
• +۳ مورد دیگر

Cristina Baus Marquez is a Research Fellow at the University of Barcelona's Faculty of Psychology, affiliated with the Department of Cognition, Development, and Educational Psychology. She holds a Ramon y Cajal Research Fellowship (2020–2025) and leads research in the Brain Dynamics and Structure of Human Cognition (BraCo) group. Her work focuses on cognitive neuroscience, bilingualism, and language processing, with a particular emphasis on electrophysiological and behavioral studies of language production, perception, and social cognition. Education: Bachelor's Degree (Llicenciatura) in Psychology, University of Barcelona (2003) PhD in Cognitive Neuroscience and Specific Educational Needs, Universidad de La Laguna (2010) Research Interests include the neural mechanisms underlying bilingual speech production, cross-modal language interactions, and how linguistic experience shapes perception of faces and voices. She employs EEG/ERP techniques to study self-monitoring processes in bilinguals and investigates the role of iconicity in sign language production. Key Projects: Ramón y Cajal Fellowship (2020–2025): Investigates verbal interactions and learning mechanisms Fundación BIAL Grant (2017–2019): Explored electrophysiology of bimodal bilingualism AGAUR Grant (2018–2020): Studied verbal interactions' cognitive mechanisms Labs/Teams: Active member of the BraCo research group, collaborating internationally on multilingualism and cognitive neuroscience projects.

Joshua D. Kertzerمشاهده پروفایل

استاد

• International Relations
• Political Psychology
• Foreign Policy
• +۳ مورد دیگر

Joshua D. Kertzer is the John Zwaanstra Professor of International Studies and Government at Harvard University, where he also serves as Director of Graduate Studies. His research integrates international security, political psychology, and foreign policy analysis. His work examines public opinion formation, elite decision-making, and experimental approaches to international relations. Recent studies focus on how observers assess resolve in international conflicts, partisan influences on foreign policy attitudes, and the psychological foundations of reputation costs. Publications demonstrate methodological innovation in combining survey experiments with archival research, exploring topics from democratic credibility to signaling in crisis diplomacy. His award-winning research has been recognized by the International Studies Association and American Political Science Association.

He Tai-Senمشاهده پروفایل

مدرس ارشد

• Behavioral Economics
• Experimental Economics
• Psychology and Economics
• +۳ مورد دیگر

Dr. He Tai-Sen is a Senior Lecturer in Economics at Nanyang Technological University (NTU), Singapore. Holding a PhD in Economics from Brown University (2013), he also earned an MA in Economics and a Bachelor of Finance from National Chengchi University, Taiwan. He was an honorary member of the Phi Tau Phi Scholastic Honor Society and recipient of the Reginald D. Archambault Award for Teaching Excellence at Brown in 2009. Education : PhD (Economics, Brown University, 2013); MA (Economics, National Chengchi University, 2003); Bachelor of Finance (National Chengchi University, 2001) Dr. He specializes in Behavioral Economics , Experimental Economics , and the intersection of Psychology , Linguistics , and Economics . His research explores how linguistic features (e.g., future tense, pronoun drop) and acoustic manipulations (e.g., vocal pitch, speech rate) influence economic decisions. He also investigates parental strategies to develop children’s pro-sociality, patience, and strategic reasoning. His publications reveal interdisciplinary trends: Language-Decision Interactions (4 papers) Temporal Discounting & Risk Preferences (5 papers) Trust & Prosocial Behavior (3 papers) Behavioral Policy Analysis (2 papers) Scientific Awards : Reginald D. Archambault Award for Teaching Excellence (Brown University, 2009) At NTU, he teaches Experimental Economics , Financial Economics , and Microeconomics Principles . He also instructs Behavioral Economics for Policy Analysis in Mandarin at the Nanyang Centre for Public Administration. Dr. He emphasizes inquiry-based teaching, fostering student creativity through conversational methods. His research involves interdisciplinary collaborations, often co-authoring papers with students. Married to a psychologist, he draws inspiration from family interactions, blending personal and academic insights into his work on behavioral economics.

• Consumer Behavior
• Social Psychology
• Marketing
• +۵ مورد دیگر

David Wooten is the Alfred L. Edwards Collegiate Professor of Marketing and a University Diversity and Social Transformation Professor at the University of Michigan’s Stephen M. Ross School of Business. He holds a PhD (1992), MBA (1987), and BBA (1985) from the University of Michigan and Georgia State University, respectively. His research explores consumer behavior through social psychology and micro-sociological theories, focusing on gift-giving, word-of-mouth, and the impact of racial/stigmatized identities on marketplace dynamics. He has published extensively in journals like Journal of Consumer Research and served as Editor-in-Chief of the Journal of Consumer Psychology . Notable awards include the 2022 Taylor & Francis Distinguished Scholar Award and the 2015 AMA Multicultural Mentoring Award. Wooten’s work bridges theory and practice, addressing topics such as racial identity in consumer research, the presenter’s paradox in service interactions, and the role of ambient lighting in prosocial behaviors. He has led editorial roles and mentored doctoral students through forums like the AMA-Sheth Doctoral Consortium (2013) and SCP Doctoral Symposium (2023). His research also emphasizes equity and social transformation, advocating for inclusive consumer research frameworks.

• Media effects
• Narrative processing
• Narrative influence
• +۳ مورد دیگر

Emily Moyer-Gusé serves as Professor and Graduate Program Chair at The Ohio State University, where her research investigates how entertainment narratives shape attitudes and behaviors regarding health and social issues through psychological mechanisms of persuasion. Her academic credentials include: B.A. from Michigan State University M.A. from Michigan State University Ph.D. from the University of California, Santa Barbara Dr. Moyer-Gusé specializes in media effects with particular expertise in narrative processing and influence, examining television storylines about teen pregnancy, safer sex, STIs, organ donation, and environmental issues. Her developmental research explores children's emotional reactions to media and parental coping strategies for news-induced fears. Teaching interests directly mirror her research portfolio in media effects, children and media, and research methods, emphasizing practical relevance to students' lives and careers. Analysis of her 2022-2025 publications reveals dominant themes in narrative persuasion theory applied to health communication, with growing emphasis on culturally-centered vaccine messaging (particularly for Latino communities), mental wellness, and eudaimonic entertainment mechanisms. Her work consistently explores how humor, character identification, and self-transcendent experiences overcome resistance to health messages while addressing narrative misinformation. No scientific awards were documented in the source material. Details regarding student advising, research grants, or laboratory affiliations were not provided in the available documentation.

Dongyun Nieمشاهده پروفایل

استادیار

• Customer Lifetime Value
• Data Mining
• Forecasting
• +۲ مورد دیگر

Dr. Dongyun Nie is an Assistant Professor at Dublin City University's School of Computing. She holds a PhD in Computer Science with a specialization in Customer Relationship Management. Her core research explores customer lifetime value, forecasting, data mining, and record linkage. Her recent publications demonstrate interdisciplinary work spanning health informatics, sports analytics, and environmental data engineering. Research predominantly focuses on machine learning applications for real-world data challenges including eye-tracking systems, lifelog analytics, and public health data infrastructure. Teaching responsibilities include modules on Machine Learning (CA4109), Enterprise Systems Configuration (CA2049), and Web Design (CA106), integrating research expertise into computing education.