Associate Professor Chen Lou is a faculty member at the Wee Kim Wee School of Communication and Information, Nanyang Technological University (NTU), Singapore. Her research focuses on consumer psychology and advertising effects, exploring how marketing communications influence behavior through information processing mechanisms. She investigates topics like influencer marketing, content strategies, and the psychological impacts of brand communications. A mixed-methods researcher, she employs techniques such as eye-tracking, psychophysiological measures, and big data analytics (e.g., sentiment analysis). Dr. Lou holds editorial roles at journals including the International Journal of Advertising and Journal of Interactive Advertising , and serves on committees for organizations like the American Academy of Advertising (AAA) and the International Communication Association (ICA). She earned her Ph.D. from Michigan State University, an M.S. from Ohio University, and a B.A. from Wuhan University. Her research has been recognized with awards such as the 2021 Mary Alice Shaver Promising Professor Award (AAA) and multiple best article awards. She actively supervises student projects, including top-winning FYPs at NTU. Key research areas include: Influencer marketing dynamics and virtual influencers Social media platform affordances and advertising effectiveness Brand activism and message framing Psychological ownership in content marketing Consumer responses to ethical and cultural messaging
Lorrie Faith Cranor is the Director and Bosch Distinguished Professor in Security and Privacy Technologies at the CyLab Security and Privacy Institute, and the FORE Systems University Professor of Computer Science and Engineering and Public Policy at Carnegie Mellon University. She also directs the CyLab Usable Privacy and Security Laboratory (CUPS) and co-directs the MSIT-Privacy Engineering master’s program. She previously served as Chief Technologist at the U.S. Federal Trade Commission and is a co-founder of Wombat Security Technologies. Carnegie Mellon University – CyLab Security and Privacy Institute School of Computer Science – Department of Computer Science College of Engineering – Department of Engineering and Public Policy PhD Program in Societal Computing Human-Computer Interaction Institute (affiliate) Heinz College (affiliate) Dr. Cranor’s research centers on usable privacy and security, privacy engineering, and technology policy. Her work spans authentication systems, privacy policies, IoT security, and human behavior in digital environments. She has pioneered research on password usability, privacy labels (e.g., 'nutrition labels' for privacy), and privacy decision-making. Her interdisciplinary approach integrates computer science, public policy, and behavioral science to create systems that are both secure and user-friendly. Her recent publications reflect a strong focus on privacy interfaces, consent mechanisms, IoT security labels, and user comprehension of digital privacy. Trends include evaluating the usability of privacy controls across platforms, designing tools for developers to generate accurate privacy disclosures, and understanding user behavior in online tracking and advertising contexts. Her work frequently appears in top venues such as CHI, SOUPS, and PETS. ACM CHI Academy inductee ACM Fellow IEEE Fellow 2018 ACM CHI Social Impact Award 2018 International Association of Privacy Professionals Privacy Leadership Award 2018 IEEE Cybersecurity Award for Practice Alumni Achievement Award, McKelvey School of Engineering Top 100 Innovator under 35, Technology Review Dr. Cranor has advised numerous PhD students in interdisciplinary programs including Societal Computing, Engineering and Public Policy, and Human-Computer Interaction. Her research has been supported by grants from the National Science Foundation, DARPA, and industry partners. She serves on the boards of the Computing Research Association, Center for Democracy and Technology, and Electronic Privacy Information Center. She is a frequent media commentator on privacy and security issues. She leads the CyLab Usable Privacy and Security Laboratory (CUPS), a multidisciplinary research group that includes faculty and students from computer science, policy, and HCI. The lab focuses on making privacy and security systems more intuitive, effective, and user-controlled. Key projects include the Usable Privacy Policy Project, privacy nutrition labels, and the Personalized Privacy Assistant Project.
Prof Lee Kwan Min is a Professor and the inaugural Korea Foundation Professor in Contemporary Korean Society and New Media at Nanyang Technological University’s Wee Kim Wee School of Communication and Information (WKWSCI), where he directs the UX Lab. He holds a Ph.D. from Stanford University and has held leadership roles, including founding director of Interaction Science Research Center at Sungkyunkwan University and Vice President at Samsung Electronics, overseeing UX strategy and innovation. His research focuses on user experience (UX), human-machine interaction (HCI/HRI/HAI), digital culture, and Korean society’s technological evolution. He has secured over $12M in research grants and holds patents in display interfaces and gesture control. Notable awards include ICA Fellowship and USC Mellon Teaching Award. Education: Ph.D. (Stanford University), M.A./B.A. (implied from career timeline). Previous affiliations include Sungkyunkwan University (SKKU) and the University of Southern California (USC), where he was tenured at 40. His work bridges academia and industry, advising startups in fintech, smart mobility, and UX design. Research Interests: UX design and evaluation Social/psychological impacts of ICT Human-robot/vehicle interaction Smart cities and disruptive technologies Korean digital society studies Recent work trends emphasize conversational interfaces in vehicles, metaverse analysis, and Fintech agents. His articles explore topics like autonomous vehicle trust, cross-cultural gaming psychology, and VR advertising. Awards include ICA Fellow status and multiple top-paper recognitions. Grants and Patents: Over $12M funding from NSF, Samsung, and Korean/US governments. Patents span smart displays, gesture control, and multimedia systems. Advises global firms on UX strategies and innovation. Labs/Teams: Director of UX Lab at NTU, leading interdisciplinary research. Collaborates with MIT Cognet and editorial boards of top journals like Journal of Communication and Human Communication Research .
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.
Professor Jean Burgess is a leading scholar in digital media studies, holding positions as Distinguished Professor of Digital Media at Queensland University of Technology (QUT) and Associate Director of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). She is affiliated with the Digital Media Research Centre (DMRC) and School of Communication at QUT. Her work focuses on the social implications of digital platforms, algorithmic culture, and innovative digital methods. Education: PhD (Queensland University of Technology) M.Phil (University of Queensland) B. Arts (Hons) and B. Mus (Hons) (University of Queensland) Research Interests: Burgess explores digital media technologies' societal impacts, platform governance, and algorithmic systems. Her recent work includes studies on GenAI, Instagram's visual culture, and automated decision-making. She co-authored Everyday Data Cultures (2022) and contributes to platforms like The Conversation. Awards: Fellow, Australian Academy of the Humanities Member, ARC College of Experts Recipient of the Vice-Chancellor’s Award for Excellence Grants & Projects: Key projects include the ARC-funded ADM+S Centre, research on Instagram’s machine vision, and studies on algorithmic transparency in advertising. She collaborates with industries like Australia Post and the Australian Centre for the Moving Image. Labs/Teams: Leads the DMRC and ADM+S QUT node, fostering interdisciplinary research on digital media's role in society.
Pedro Ferreira is a Full Professor at Carnegie Mellon University (CMU), holding a joint appointment in the School of Information Systems & Management at the Heinz College and the Department of Engineering and Public Policy within the College of Engineering. His research focuses on how technology influences education, media consumption, and peer effects, leveraging large datasets from randomized experiments. Ferreira has been recognized with the 2018 INFORMS Early Career Award and Top 17th worldwide research scholar ranking (2020–2022). He co-founded CMU's Initiative for Teaching and Education Analytics (iTEA) and advises numerous students in areas like AI/ML in education and media analytics. Education: BSc in Computer Science (IST), MSc in Electrical Engineering and Computer Science & Technology Policy (MIT), PhD in Telecommunications Policy (CMU). He has taught at MIT, IST, and invited roles at Católica-Lisbon and the University of Cambridge. Research Interests: Impact of digital technologies on education outcomes (e.g., smartphones in classrooms, video analytics), peer influence in media industries (e.g., binge-watching, recommender systems), and empirical methods using randomized experiments. Current projects include AI-driven education improvement and policy implications of AI/ML technologies. Notable Achievements: Over 15 peer-reviewed articles in top journals like Management Science and MIS Quarterly. Key grants include Gates Foundation funding for video-based education research and Koch Foundation support for online certification studies. He serves as Associate Editor for Management Science and previously for MIS Quarterly. Advising & Grants: Advised 23 PhD students, many now in academia and industry. Current students research facial recognition in education and hybrid recommender systems. Ferreira has led grants totaling millions, including studies on GDPR's impact on piracy tracking and worldwide VoD availability. Professional Service: Organized conferences like the Symposium on Statistical Challenges in eCommerce Research (SCECR). Served on NSF review panels and CMU’s Portugal PhD program steering committee.曾参与葡萄牙知识社会局(UMIC)的国家级政策制定，推动宽带学校项目。
Kusum L. Ailawadi is the Charles Jordan 1911 TU'12 Professor of Marketing at the Tuck School of Business at Dartmouth College. She has established herself as a leading expert in marketing channel strategy, brand equity, and multi-channel distribution systems. Her research examines the strategic interaction and distribution of power between manufacturers and their distribution channel partners, with particular focus on how store brands, promotions, and brand equity affect performance. Education: PhD, University of Virginia, 1991 MBA, Indian Institute of Management, 1984 BSc (Honors), St. Stephen's College, Delhi University, 1982 Professor Ailawadi's research spans two primary streams: the first focuses on manufacturer-retailer relationships and channel strategy, examining how power dynamics affect brand performance; the second investigates how marketing actions influence consumers' health status and the nutritional quality of grocery shopping. She has pioneered research showing how warehouse club shopping affects consumer behavior, revealing that club store shoppers spend more, shop more frequently, and consume more calories than non-club shoppers. Her work on multi-channel distribution has been synthesized in her influential 2020 book Getting Multi-Channel Distribution Right , which provides practical guidance for managing brands across physical and digital channels. Her extensive publication record in top marketing journals like Journal of Marketing , Journal of Marketing Research , and Marketing Science demonstrates consistent scholarly impact. Analysis of her recent work shows a strong focus on the evolving retail landscape, with particular attention to private label brands, multi-channel strategies, and the behavioral economics of consumer shopping patterns. Her research increasingly bridges marketing theory with practical applications in retail strategy and consumer health. Notable Awards: Winner, Paul H. Root Award for Significant Contribution to the Advancement of the Practice of Marketing (2018) Distinguished Alumni Award, Indian Institute of Management Bangalore (2020) Winner, John D.C. Little Best Paper Award, Marketing Science (2005) Winner, First William Davidson Award for Best Contribution to Theory and Practice in Retail Marketing (1997) Multiple finalist positions for Paul E. Green Award across various years Professor Ailawadi serves as president of the INFORMS Society for Marketing Science and has held editorial positions at major marketing journals including Journal of Marketing , Journal of Marketing Research , and Marketing Science . She teaches the highly regarded MBA elective on Multi-Channel Routes to Market and has consulted with companies across consumer goods, retailing, consulting, and financial services sectors. Her expertise has also been sought in legal cases related to distribution, brand equity, and promotions, where she has served as both consulting and testifying expert. Her research has been widely covered in media outlets including Harvard Business Review , Wall Street Journal , Forbes , and Advertising Age , demonstrating the practical relevance of her academic work. Her TEDx talk 'Outsmarting the Marketers' further illustrates her ability to translate complex marketing concepts for broader audiences.
Rhonda Hadi is an Associate Professor of Marketing at the Saïd Business School, University of Oxford. She is also a Fellow of Green Templeton College and an Associate Editor at the Journal of Consumer Psychology , serving on editorial review boards for Journal of Consumer Research , Journal of Marketing Research , and Journal of the Academy of Marketing Science . Her research focuses on emerging technologies reshaping consumer experiences, including augmented reality, AI, and wearable/mobile computing. She explores crossmodal perception, cultural influences on consumer behavior, and sensory-driven decision-making. Rhonda teaches the Core Marketing course for the MBA programme and contributes to Executive MBA, Diploma in AI for Business, and executive education courses. Her engagements span industry collaborations with Fortune 500 firms, startups, and non-profits, emphasizing practical applications of her research. She is a key member of the Oxford Future of Marketing Initiative , fostering academic-industry partnerships for thought leadership. Her research interests prominently feature technology-augmented consumer behavior , particularly in multisensory interactions (e.g., haptics, temperature, scent) and how cultural contexts modulate these responses. She has pioneered studies on anthropomorphic products, chatbot ethics, and the psychological impact of digital tools like AR and the Metaverse. Rhonda received the John Elliot Teaching Award and regularly engages with media outlets like the BBC to disseminate her findings. She has delivered over 50 invited talks globally, addressing North America, Asia, Africa, and Europe. In advising and grants, she mentors students across MBA and executive programmes and secures funding via Oxford’s initiatives. Her work intersects with the Major Programme Management and Private Equity Institute , though direct grant references are not explicitly detailed. She actively participates in interdisciplinary teams at Oxford Saïd, such as the Oxford Future of Finance and Technology Initiative and the Social Thermoregulation Project , integrating insights from psychology, technology, and business strategy.
Prof. Jochen Hartmann holds the Digital Marketing professorship at the TUM School of Management (Munich). Previously, he was an assistant professor at the University of Groningen's School of Business and Economics and worked as a management consultant at McKinsey & Company. He earned his doctorate from the University of Hamburg and coordinated the DFG research group FOR 1452 (2019-2022). His research focuses on digital marketing and machine learning, particularly analyzing unstructured data (computer vision, NLP) and generative AI. Key themes include social media, algorithmic fairness, diversity in advertising, and human-machine interactions. Education: Ph.D. in Business Administration (University of Hamburg), Management Consulting experience at McKinsey & Company. Research interests combine cutting-edge AI techniques with marketing challenges. Recent work explores generative AI's impact on advertising, algorithmic bias in finance, and visual search innovations. His text/image mining studies rank among top-cited articles in marketing journals like the International Journal of Research in Marketing and Journal of Marketing Research. Awards include the EMAC-Sheth Sustainability Award, Lindau Nobel Laureate Meetings' Young Economist distinction, and multiple best dissertation awards. Grants: Led DFG-funded research group (2019-2022). Affiliated with Columbia Business School (visiting scholar) and Mannheim Business School (lecturer in machine learning). Labs/Teams: Active in interdisciplinary research groups focusing on AI applications in marketing and business analytics.
Natalie T. Wood, PhD (Auburn University, 2002), is a Professor of Marketing and Associate Dean at Saint Joseph’s University’s Haub School of Business. Her expertise spans consumer behavior and social media marketing, with a focus on digital engagement and virtual environments. PhD, Auburn University (2002) GradDip in Marketing, Edith Cowan University (1999) BBus in Marketing, Edith Cowan University (1996) Her research explores social media’s influence on consumer trends, political marketing, themed hospitality authenticity, and virtual education. Key journals include Journal of Consumer Behaviour and Business Horizons . Recent publications analyze microblogging’s role in customer service and brand promotion. Notable awards: Saint Joseph’s University Faculty Merit Award for Teaching (2013) and Research (2007). Grants from Arrupe Center (2019) and Direct Selling Education Foundation (2010-2011) highlight her funded work. Professional roles include Assistant Director, Center for Consumer Research (2007-2011).
Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.
Dr. Stefan Bernritter is an Associate Professor of Marketing at King’s Business School, University of London, and Director of the MSc in Digital Marketing. He holds a PhD in Marketing Communication from the University of Amsterdam. His research focuses on digital technologies, consumer-brand interactions, and advertising in evolving media landscapes. Key areas include mobile marketing, social media, gaming, and AI-driven advertising strategies. Previously, he served as Senior Lecturer at Goldsmiths, University of London, and Assistant Professor at the Amsterdam School of Communication Research. His work has been published in top journals like Journal of the Academy of Marketing Science and Journal of Interactive Marketing . He is an Associate Editor at the Journal of Interactive Marketing and holds editorial roles at leading advertising journals. Research interests emphasize consumer behavior in digital environments, including brand safety in multiplayer games, machine learning applications in marketing, and the impact of social media endorsements on self-evaluation. Awards include recognition from the European Advertising Academy and the International Communication Association. Bernritter actively contributes to academic discourse through editorial roles and guest editing. He currently supervises PhD students and teaches strategic marketing courses. His work aligns with UN Sustainable Development Goals related to responsible consumption and economic growth.
Martin Pesendorfer is a Professor of Economics at the Department of Economics, London School of Economics and Political Science (LSE). He specializes in Industrial Organization, Auctions, and Information Economics, with significant contributions to applied microeconomics. His research focuses on dynamic games, auction mechanisms, and strategic interactions in markets. He holds a PhD in Economics from Northwestern University and teaches advanced courses such as EC313 Industrial Economics and EC536 Economics of Industry for Research Students. Key research areas include the design of auctions, consumer demand modeling, and equilibrium analysis in dynamic settings. His work has been published in top journals like the American Economic Journal: Microeconomics, Econometrica, and the Review of Economic Studies. He has also contributed to practical applications such as analyzing mergers, procurement auctions, and retail pricing strategies. Pesendorfer’s teaching covers topics from industrial economics fundamentals to advanced microeconomic theory. His research spans theoretical and empirical methods, with recent emphasis on equilibrium multiplicity in dynamic games and omitted variable biases in demand models. He maintains an active presence in academic circles, contributing to research centers like STICERD's Economics of Industry Programme.
Dr. Jiahong Chen is a Lecturer in Law at the University of Sheffield School of Law . His research focuses on the intersection of law and technology, particularly Data Protection Law , Cybersecurity Law , Law and AI , and Internet Regulation . He serves as Departmental EDI Director and Deputy LLM Programme Director. PhD, University of Edinburgh LLM, China University of Political Science and Law LLB, China University of Political Science and Law His research examines regulatory challenges in smart homes , large language models , and data ethics . Current projects include the ESRC-funded "The Internet of Tactical Engagement (IoTE)" and RAI UK's "Addressing Socio-technical Limitations of Large Language Models" . Publications span GDPR interpretation, health data regulation, and smart device accountability. He teaches modules on Information Technology Law , Data Privacy and Governance , and Consumer Law .
Krishna Gummadi is a Scientific Director and Professor at the Max Planck Institute for Software Systems (MPI-SWS) in Germany, where he leads the Networked Systems Research Group. He also holds a professorship at the University of Saarland, demonstrating his dual commitment to research and academic instruction in computer science. His educational background includes: Ph.D. in Computer Science and Engineering from the University of Washington (2005) B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Madras (2000) Gummadi's research spans networked and distributed computer systems with a current focus on social computing systems. His work addresses critical challenges in algorithmic fairness, privacy in social media, trustworthiness of online identities, and information dissemination in social networks. He approaches these problems through interdisciplinary methods combining user-centric studies, data-centric analysis, and systems-centric design to create practical solutions that enhance fairness, transparency, and user control in online platforms. His methodology integrates large-scale observational studies, computational modeling, and system implementation to tackle complex human-computer interaction challenges at societal scale. His recent publications reveal a strong emphasis on fairness in algorithmic decision making, with significant contributions to quantifying and addressing discrimination in machine learning systems. His work bridges computer science, social science, and ethics, creating frameworks for fair classification, understanding media bias, and developing privacy-preserving techniques that maintain functionality while protecting user data. The research demonstrates a progression from technical system design to addressing societal implications of computing systems. Among his notable scientific achievements: ERC Advanced Grant in 2017 for 'Foundations for Fair Social Computing' Test of Time Awards at ACM SIGCOMM and AAAI ICWSM Casper Bowden Privacy Enhancing Technologies (PET) and CNIL-INRIA Privacy Runners-Up Awards IW3C2 WWW Best Paper Honorable Mention Multiple Best Paper awards across prestigious conferences Gummadi has advised numerous PhD students and postdoctoral researchers who have gone on to prominent positions in academia and industry. His ERC Advanced Grant has supported extensive research into fair social computing, while his leadership in major conferences (including serving as General Chair for ICWSM 2016 and Program Chair for WWW 2015) has shaped research directions in the field. His teaching portfolio includes courses on Distributed Systems, Human-Centered Machine Learning, and Social Media Analysis. He leads the Networked Systems Research Group at MPI-SWS, which has developed several publicly available systems including tools for fair classification, privacy risk assessment, trust evaluation in social media, and information diet management. The group's work bridges theoretical advances with practical implementations that address real-world challenges in social computing, with numerous software releases and datasets made available to the research community.
