جست‌وجوی استاد و پژوهشگر

Andrew Stephenمشاهده پروفایل

استاد

• Digital Marketing
• Social Media Strategy
• Consumer Behavior
• +۵ مورد دیگر

Andrew Stephen is the L’Oréal Professor of Marketing and Deputy Dean for Faculty and Research at Saïd Business School, University of Oxford. He leads the Marketing faculty and directs the Oxford Future of Marketing Initiative, focusing on emerging technologies like AI and data-driven strategies in marketing, media, and advertising. His research explores digital marketing, consumer behavior, and the impact of new technologies, earning him recognition as a top global marketing scholar. His academic contributions span leading journals such as the Journal of Consumer Research and Harvard Business Review. He serves as editor of the Journal of Consumer Research, co-editor of the International Journal of Research in Marketing, and actively engages with industry through councils like the Mobile Marketing Association’s Brand Safety Council. Teaching responsibilities include marketing curriculum oversight and courses across MBA, Executive MBA, and DPhil programs, focusing on digital transformation, marketing analytics, and the future of marketing. His work bridges academic rigor with industry relevance, addressing challenges in tech-enabled marketing and global brand strategies. Awards: Top marketing academic in the UK (AMA), featured in Poets & Quants’ top 40 under 40, multiple research excellence awards. Labs/Initiatives: Oxford Future of Marketing Initiative, fostering collaborations with leading companies to tackle industry challenges. Grants/Advising: Extensive industry partnerships and academic grants not explicitly detailed in the text.

Panos Ipeirotisمشاهده پروفایل

استاد

• Crowdsourcing
• Machine Learning
• Human-AI Collaboration
• +۷ مورد دیگر

Panos Ipeirotis is a Professor at the Leonard N. Stern School of Business at New York University, affiliated with the Department of Technology, Operations, and Statistics. He also serves as the George A. Kellner Faculty Fellow and is associated with the Center for Data Science and Computer Science departments at NYU. PhD in Computer Science (Columbia University, 2004) MSc in Computer Science (Columbia University, 2001) BSc in Computer Engineering & Informatics (University of Patras, 1999) His research spans crowdsourcing, machine learning, human-AI collaboration, online labor markets, and social media analytics. He pioneered human-machine loop systems that combine human and machine intelligence to achieve superior outcomes. His work has applications in data quality assurance, visual media search (e.g., Google Project Glass), and economic valuation of user-generated content. Recent publications focus on algorithmic fairness in hiring systems, occupational segregation analysis, and theoretical advancements in crowdsourcing consensus mechanisms. Earlier work includes foundational studies on data quality in crowdsourcing platforms, economic impacts of product reviews, and query optimization for text-centric tasks. 2015 Lagrange Prize in Complex Systems NSF CAREER Award SIGKDD Test of Time Award (2020) Multiple Best Paper awards (WWW 2011, KDD 2008, SIGMOD 2006) He has received significant grants, including a $1.5 million Google Research Grant (2013) for integrating crowdsourcing with machine learning algorithms. His work bridges computer science, economics, and social psychology, with implications for policy-making and business strategy.

Sezgin Ayabakanمشاهده پروفایل

دانشیار

• Healthcare Analytics
• Business Value of Information Systems
• Data Analytics Techniques
• +۵ مورد دیگر

Dr. Sezgin Ayabakan is an Associate Professor in the Department of Management Information Systems at the Fox School of Business and Management, Temple University . He holds a PhD in Management Science from the University of Texas at Dallas, with a focus on Management Information Systems (MIS), an MS in Industrial and Systems Engineering from the University of Florida, and a BS in Industrial Engineering from Bilkent University in Turkey. His research focuses on healthcare analytics , particularly exploring how health information technology (HIT) impacts healthcare costs, quality, and utilization. Key research interests include data analytics applications in healthcare and social media, the business value of information systems, and open-source production strategies. He has examined topics such as telehealth efficacy, electronic health record (EHR) adoption challenges, hospital readmission reduction programs, and the interplay between healthcare IT and clinician well-being. Dr. Ayabakan teaches undergraduate and graduate courses in information systems, including MIS 2101: Digital Systems and SBM 3586: Diamond Peer Teachers - Internship II . His work has been published in top-tier journals like MIS Quarterly and Health Services Research and Management Epidemiology , with recent studies addressing telehealth utilization, EHR strategy impacts, and the role of organizational routines in clinician satisfaction. While no formal awards are listed, his contributions to healthcare IT research demonstrate significant academic impact. His advisory and grant activities are not detailed in the provided text, but his research often intersects with practical healthcare system challenges, suggesting potential collaborations with healthcare institutions and policy organizations.

• Sustainable Tourism
• Tourism Marketing
• Sharing Economy in Tourism
• +۶ مورد دیگر

Sergio Moreno Gil is a Professor in the Department of Economics and Business Management at Universidad de Las Palmas de Gran Canaria (ULPGC), Spain. He is affiliated with the GIR TIDES research group (Economy, Environment, Sustainability and Tourism) and the Institute of Tourism and Sustainable Economic Development. His academic work focuses on tourism economics, marketing, and sustainability within the Social and Legal Sciences branch. Dr. Moreno Gil's research interests span across multiple dimensions of contemporary tourism. His primary focus areas include sustainable tourism development, destination marketing, sharing economy platforms in tourism, and consumer behavior analysis. He has made significant contributions to understanding tourism in the Canary Islands, particularly through his work with the Canary Islands Tourism Observatory. His research integrates traditional tourism studies with emerging fields like neurotourism and biometric analysis of tourist experiences. His publication record shows a clear trend toward addressing contemporary challenges in tourism. Recent works focus on sustainability in mass tourism destinations, the impact of sharing economy platforms, gastronomic tourism marketing, and collaborative tourism networks. His research demonstrates a strong methodological diversity, employing bibliometric analysis, social network analysis, and empirical studies of tourist behavior. Dr. Moreno Gil has been actively involved in the Canary Islands Tourism Observatory, contributing to annual reports on tourism sustainability in the region. His collaborative work spans across the Ibero-American region, with numerous co-authorships reflecting international research networks in tourism studies.

• Human-Computer Interaction
• Virtual Reality
• Social Virtual Reality
• +۴ مورد دیگر

Giulio Jacucci is a Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Helsinki Information Technology Research Institute. He serves as a Supervisor in the Doctoral Programme in Computer Science, mentoring PhD candidates in human-computer interaction and related fields. His academic career spans over two decades with continuous research productivity from 2006 through 2025. Professor Jacucci's research interests center on Human-Computer Interaction , particularly focusing on Virtual Reality , Brain-Computer Interfaces , and Neuroadaptive Systems . His work explores how technology can adapt to users' cognitive and physiological states, with significant contributions to social virtual reality environments, embodied agents, and information retrieval systems. He investigates how virtual representations affect social behavior, time perception, and communication in digital spaces. His publication record shows a clear evolution from foundational work in information retrieval toward increasingly sophisticated neuroadaptive systems. Recent publications (2024-2025) demonstrate his leadership in examining social dynamics within virtual reality platforms, including votekicking mechanisms, mirror watching behaviors, and communication tools like mutes. His work bridges technical innovation with deep understanding of human social behavior in digital environments. Professor Jacucci currently leads multiple research projects funded by the Academy of Finland, including DataLit: Datalukutaito ja vastuullinen päätöksenteko (2023-2026) and MyModel: Selitettävyys suositusten hallinnassa (2023-2027). These projects focus on data literacy, responsible decision-making, and explainability in recommendation systems, reflecting his commitment to ethical and user-centered technology development. His research has received media attention, particularly around brain-computer interfaces and virtual reality applications, with coverage in outlets discussing how deep learning transforms mobile applications and sensor landscapes. He has presented his work at major conferences including CHI 2017 and continues to be an active contributor to the international research community.

Madalina Busuiocمشاهده پروفایل

استاد

• Public Governance
• Artificial Intelligence in Governance
• Algorithmic Decision-Making
• +۷ مورد دیگر

Prof. Dr. Madalina Busuioc is a Full Professor of Public Governance at the Department of Political Science and Public Administration, Vrije Universiteit Amsterdam. She serves as Director of the Graduate School of Social Sciences and co-Director of the R&I Lab on Artificial Intelligence and Digital Governance. Her ERC-funded research explores public accountability in the AI era, with a focus on algorithmic governance and cognitive biases in administrative decision-making. She holds a PhD cum laude from Utrecht University (2010). Her research interests center on public power dynamics, algorithmic governance, and institutional accountability. Notable contributions include work on AI's impact on citizen-state interactions, reputational authority in bureaucracy, and regulatory oversight mechanisms. Her book European Agencies: Law and Practices of Accountability (Oxford UP) and peer-reviewed articles in Public Administration Review , Journal of Public Administration Research and Theory , and Governance highlight her scholarly impact. Teaching contributions include designing the MSc Public Administration: Artificial Intelligence and Governance program, which integrates technical and governance perspectives. Awards include the Haldane Prize (2016) and Fernand Braudel Fellowship (2021). She advises on AI policy through ancillary roles like membership in the Meijers Commission on international law. Her research projects address AI ethics, algorithmic accountability, and regulatory innovation. Recent work explores behavioral dimensions of human-AI collaboration in public services and the societal implications of AI adoption in administrative systems.

Chuqing Dongمشاهده پروفایل

استادیار

• Corporate Social Responsibility
• ESG
• Government Communication
• +۵ مورد دیگر

Chuqing Dong serves as Assistant Professor in the Department of Advertising and Public Relations at Michigan State University's College of Communication Arts and Sciences, where her research centers on corporate social responsibility (CSR), ESG communications, government relations, and AI-driven public relations practices through interdisciplinary frameworks. Her academic credentials include a Ph.D. from the Hubbard School of Journalism and Mass Communication at the University of Minnesota, complemented by dual master's degrees in Public Policy (M.P.P.) and Professional Strategic Communication. Research priorities encompass: CSR/ESG communication effectiveness in digital environments Strategic nonprofit-corporate alliances and societal impacts Ethical frameworks for caring public relations Government communication in the AI era Her 30+ publications reveal evolving trends toward AI ethics in PR, cross-cultural CSR analysis, and crisis communication during pandemics, prominently featured in Public Relations Review and Journal of Business Ethics. Recognition includes top paper awards from major associations: International Communication Association (ICA) Association for Education in Journalism and Mass Communication (AEJMC) National Communication Association (NCA) International Public Relations Research Conference (IPRRC) She mentors students in CSR/ESG communication and ethical consumerism while directing research funded by the C.R. Anderson Foundation, SSHRC, and Arthur W. Page Center examining oil industry dialogic communication, employee CSR engagement, and DEI ethics training.

George J. Mailathمشاهده پروفایل

استاد

• Game Theory
• Microeconomics
• Noncooperative Game Theory
• +۶ مورد دیگر

George J. Mailath is the Walter H. Annenberg Professor in the Social Sciences and Professor of Economics at the University of Pennsylvania, and an Honorary Professor at the Research School of Economics, Australian National University. He specializes in microeconomics, noncooperative game theory, repeated games, and the theory of reputations. His research explores pricing strategies, evolutionary game theory, and social norms. Mailath is a Fellow of prestigious institutions including the American Academy of Arts & Sciences and the Econometric Society. He served on the Econometric Society Council (2013-2015, 2020-2023), Game Theory Society Council (2005-2011), and co-founded Theoretical Economics . His editorial roles include editorships at Econometrica , Review of Economic Studies , and others. His 2019 book Modeling Strategic Behavior provides graduate-level insights into game theory and mechanism design. Mailath’s articles focus on strategic interactions, reputation effects, and dynamic game theory. Notable works include analyses of trust in risk-sharing mechanisms and coalition-proof strategies under frictions. His research emphasizes long-term strategic behavior and institutional design.

Michael Luckمشاهده پروفایل

استاد

• Intelligent agents
• Multi-agent systems
• Trust and reputation
• +۳ مورد دیگر

Michael Luck is a Professor of Computer Science at University College London, specializing in intelligent agents, multi-agent systems, and trust and reputation frameworks. His work contributes to UN Sustainable Development Goals related to education and innovation. He holds a BSc and PhD from UCL (1988, 1993). Education: BSc (1988), PhD (1993) in Computer Science from UCL Research focuses on formal frameworks for agent systems, norms, trust mechanisms, and applications in genome analysis and grid computing. Recent projects include AQUAREOS (robotics collaboration), SAIS (AI assistants), and TrustATrip (reputation systems). Publications emphasize adaptive service environments, norm enforcement, and Bayesian trust models. He has been awarded Fellow of the British Computer Society (2005). Advising/Grants: Lead/co-investigator on 21 projects including EPSRC-funded initiatives. Supervised 14 students. Active in global conferences like AAMAS and contributed to standards via EPSRC Peer Review College.

George H. Chenمشاهده پروفایل

دانشیار

• Trustworthy Machine Learning
• Time-to-Event Prediction
• Survival Analysis
• +۳ مورد دیگر

George H. Chen is an Associate Professor at Carnegie Mellon University , with dual affiliations in the Heinz College of Information Systems and Public Policy and the Machine Learning Department . His research focuses on trustworthy machine learning methods for temporal reasoning , particularly in health applications such as time-to-event prediction (survival analysis) and electronic health records analysis . He has extensive experience in nonparametric methods requiring minimal data assumptions. Educational Background PhD in Electrical Engineering and Computer Science, MIT (2015) SM in Electrical Engineering and Computer Science, MIT (2012) BS in Electrical Engineering and Computer Sciences & Engineering Mathematics and Statistics, UC Berkeley (2010) His work spans survival analysis , deep learning , and time series modeling , with applications in neurological prognostication , medical adherence , and health equity . He has developed self-contained educational resources including a 2024 monograph on deep survival analysis and tutorials at CHIL and SIGMETRICS. His 2025 course 95-865: Unstructured Data Analytics focuses on practical unstructured data analysis techniques. Notable projects include advising the AgriTech startup CoolCrop , which provides cold storage and market forecasts for Indian farmers serving 9,000+ farmers across 7 states. His Google Scholar publications reveal a strong focus on temporal modeling in healthcare, with recent advancements in neural survival analysis and fairness-aware temporal prediction.

Michael Haenleinمشاهده پروفایل

استاد

• Artificial Intelligence (AI)
• Social Media Marketing
• Influencer Marketing
• +۳ مورد دیگر

Michael Haenlein is a Professor of Marketing at ESCP Business School in Paris. He holds a Ph.D. from WHU, Otto Beisheim School of Management, and a Habilitation from Pantheon-Sorbonne University. His research focuses on the impact of emerging technologies such as AI, social media, and video gaming on businesses and consumers. He has published over 50 articles and received the 2021 Jan-Benedict Steenkamp Award for long-term academic impact. Haenlein serves on the editorial boards of journals like the Journal of Marketing and International Journal of Research in Marketing . He is actively involved in professional organizations, including the American Marketing Association (AMA) Academic Council and the European Marketing Academy (EMAC), where he chairs the Publications Committee. His work bridges academic research with industry applications, emphasizing digital transformation and strategic marketing. Recent publications explore topics like metaverse retailing, AI-driven consumer insights, and influencer marketing strategies. He advises companies across sectors such as telecommunications and finance on leveraging technology for competitive advantage.

Alyssa Piersonمشاهده پروفایل

استادیار

• Robotics
• Multi-Agent Systems
• Distributed Control
• +۳ مورد دیگر

Alyssa Pierson is an Assistant Professor in the Department of Mechanical Engineering at Boston University, with affiliations in Robotics & Autonomous Systems and Systems Engineering. She leads the Collaborative Autonomy Group and serves as Chief Scientist at Ava Robotics. Her research focuses on trust, cooperation, and distributed control in multi-agent systems, emphasizing socially-compliant and autonomous robotic systems interacting in dynamic environments. Education: PhD in Mechanical Engineering, Boston University (2017) BS in Engineering, Harvey Mudd College Research Interests: Multi-agent systems, distributed robotics control, socially-compliant autonomous systems, and human-robot interaction. Her work addresses challenges in cooperative teaming, trust modeling, and safe navigation in complex environments. Key Awards: NSF Career Award (2023) MassRobotics Rising Star in Robotics Medal (2023) Clare Booth Luce Fellowship Grants & Projects: Recipient of NSF CAREER Award for 'Decentralized and Online Planning for Emergent Cooperation in Multi-Robot Teams'. Active in projects like heterogeneous teaming and privacy-aware trajectory planning. Labs & Affiliations: Principal Investigator of the Collaborative Autonomy Group. Affiliated with BU's Intelligent, Autonomous & Secure Systems division and the Hariri Institute for Computing.

Dennis Herhausenمشاهده پروفایل

استاد

• Digital Communication
• Customer Journeys and Experience
• Multichannel Management
• +۷ مورد دیگر

Prof. Dr. Dennis Herhausen is a Full Professor of Marketing and Head of the Marketing Department at Vrije Universiteit Amsterdam’s School of Business and Economics. Previously, he held positions as Associate Professor at KEDGE Business School, Visiting Professor at the University of St. Gallen, and Assistant Professor at the University of St. Gallen. His research focuses on digital communication, customer journeys, multichannel management, and social media strategies, with publications in top-tier journals like the Journal of Marketing and Journal of Marketing Research. His work addresses critical issues such as online firestorm mitigation, complaint de-escalation, and gig economy communication. He has been awarded multiple prestigious prizes, including the 2021 CBSIG Consumer Research Award and the 2019 William R. Davidson Award. Education: PhD in Marketing from University of St. Gallen (2011) Teaching: Courses on Customer Experience Management, Survey Research Methods, and Thesis Guidance Research Interests: His work explores digital marketing strategies, customer-centric innovations, and the dynamics of online platforms. Recent studies address topics like business-to-investor marketing signals, privacy orientation measurement, and machine learning biases in marketing. He actively contributes to editorial boards of journals including Journal of Marketing and Journal of Interactive Marketing. Awards: 2021 CBSIG Consumer Research in Practice Award 2021 Retail & Pricing SIG Best Paper Award 2021 SERVSIG Best Services Article Award 2020 William R. Davidson Award Grants & Editorial Work: His research has been funded by national/international grants, and he serves on multiple editorial boards. Notable datasets include studies on online retailer strategies and virtual brand sabotage responses.

Sam Kirshnerمشاهده پروفایل

دانشیار

• Behavioral Decision Making
• Operations Management
• Technology Management
• +۶ مورد دیگر

Associate Professor Sam Kirshner is a faculty member at the University of New South Wales within the School of Information Systems and Technology Management . His research focuses on behavioral decision making , algorithmic impact on operations , and artificial intelligence applications in business contexts. PhD in Management Science from Queen’s University, Canada Teaching expertise in data visualization, predictive analytics, and AI ethics Co-author of Business Analytics: A Management Approach Member of the Ethical AI Advisory His research explores how psychological distance and construal level theory influence decisions in supply chains, technology management, and consumer behavior. Recent work examines ChatGPT's decision biases , algorithm aversion , and sustainable operations under financial constraints. Key publication trends show focus areas: AI ethics and human-AI collaboration Behavioral supply chain analysis Temporal/spatial psychological distance effects CO2 forecasting with sparse data Consumer behavior in digital platforms Virtual reality and cognitive processing Supervision roles include mentoring 2 PhD students and 6 honors students, contributing to the next generation of scholars in business analytics and technology management.

• Corporate Communication
• Reputation Management
• Employee Alignment
• +۷ مورد دیگر

Cees B.M. van Riel is a visiting professor in the Department of Business-Society Management at Rotterdam School of Management (RSM), Erasmus University. He previously served as a professor of corporate communication and is a globally recognized expert in reputation management, employee alignment, and corporate branding. His research focuses on corporate communication , organizational identity , employee alignment , and industry reputation . He investigates how organizations build and maintain strong reputations through strategic internal and external communication, particularly during periods of change or crisis. His work bridges academic theory and practical application, influencing both scholarly discourse and corporate practice. His recent publications, including a 2023 article on museum-corporate sponsorships, demonstrate a sustained engagement with themes of mutual value creation, stakeholder management, and reputation dynamics. His body of work consistently addresses reputation management , organizational change , impression management , and corporate branding across diverse sectors. Editor-in-Chief of Corporate Reputation Review Founder of the Reputation Forum The Netherlands (RfN) Founding Director of RSM's International Executive Master Programme in Corporate Communication Co-founder of the Reputation Institute Professor van Riel has supervised numerous academic works and has led major educational initiatives. He has been actively involved in global reputation rankings, including the Forbes-published Annual Reputation Institute Study. His consultancy work with multinational corporations such as ING, Philips, and Shell underscores his impact beyond academia. He has also held editorial and speaking roles, contributing significantly to the dissemination of management knowledge. He is central to a research network focused on corporate communication and reputation, with collaborations spanning multiple countries and institutions. His leadership in founding academic programs and professional forums highlights his role in shaping the field.