جست‌وجوی استاد و پژوهشگر

Winston Hsuمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Large-scale Image and Video Search
• +۶ مورد دیگر

Professor Winston Hsu is a distinguished faculty member in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served as a full professor since 2015. He is the co-director of the Communications and Multimedia Laboratory (CMLab) and founder of the MiRA (Multimedia indexing, Retrieval, and Analysis) research group. Additionally, he serves as the Founding Director for NVIDIA AI Lab at NTU, the first such lab in Asia. Professor Hsu received his Ph.D. in Electrical Engineering from Columbia University in 2007 under the supervision of Professor Shih-Fu Chang. Prior to his academic career, he was a founding engineer and research manager at CyberLink Corp., now a public image/video software company. National Taiwan University (2007-Present): Professor (2015-Present), Assistant/Associate Professor (2007-2015) MobileDrive (2021-2024): CTO and Vice President (Joint Venture between Foxconn and Stellantis) IBM TJ Watson Research Center (2016-2017): Visiting Scientist Microsoft Research Redmond (2014): Visiting Researcher Columbia University (2007): Ph.D. in Electrical Engineering Professor Hsu's research focuses on machine learning, computer vision, large-scale image and video search and recognition, and embedded AI. His work spans from fundamental research in visual recognition to practical applications in automotive systems, medical imaging, and e-commerce. He has pioneered work in disguised face recognition, low-resolution face hallucination, 3D model search, and virtual try-on systems. His current research emphasizes Embodied AI, integrating perception, action, and learning technologies for applications in automotive and robotics domains. His research group has produced numerous influential publications, particularly in top computer vision and multimedia conferences like CVPR, where they won first place in the Disguised Face Recognition competition in 2018. Their work spans diverse application areas including security, medical diagnostics, automotive systems, and e-commerce solutions, demonstrating strong translation from academic research to real-world impact. IBM Research Pat Goldberg Memorial Best Paper Award (2018) First Place, IARPA Disguised Faces in the Wild Competition (CVPR 2018) Best Brave New Idea Paper Award, ACM Multimedia 2017 NVIDIA AI LAB Award (First in Asia, 2016) First Place, MSR-Bing Image Retrieval Challenge (2013) World's Top 2% Scientists (2023) Professor Hsu actively mentors students and researchers, with his group consistently recruiting PhD students, postdocs, and research assistants. He has successfully bridged academia and industry through multiple collaborations, including his role as CTO at MobileDrive (a joint venture between Foxconn and Stellantis) from 2021-2024. His research has been supported by significant industry partnerships with Microsoft, IBM, and NVIDIA, as well as government grants from Taiwan's Ministry of Science and Technology. His laboratory, the Communications and Multimedia Laboratory (CMLab), maintains strong industry connections and focuses on cutting-edge research in visual AI. The lab has produced numerous award-winning projects and maintains active collaborations with global technology companies, particularly in the automotive and consumer electronics sectors.

Rhonda Hadiمشاهده پروفایل

دانشیار

• Marketing
• Consumer Behavior
• Emerging Technologies
• +۵ مورد دیگر

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.

• Consumer Behavior
• Social Media Marketing
• Digital Marketing
• +۳ مورد دیگر

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).

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.

İsmail ÖZTELمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Image Processing
• +۳ مورد دیگر

Dr. İsmail ÖZTEL serves as an Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. He has been a faculty member since 2019, following his tenure as a Research Assistant from 2012-2019 at the same institution. His educational background includes: Doctorate in Computer and Information Engineering (2014-2018) from Sakarya University with thesis on "Facial expression detection on partial and full face images using machine learning methods" Master's Degree in Computer and Information Engineering (2012-2014) from Sakarya University with thesis on "Driver simulator for educational purposes" Bachelor's Degree in Computer Engineering (2007-2011) from Sakarya University Dr. ÖZTEL's research focuses on artificial intelligence, deep learning, and computer vision with significant applications in healthcare, mobile technology, and public safety. His work has evolved from foundational facial expression recognition to sophisticated medical applications including skin disease classification using smartphones, monkeypox detection from skin lesions, and pandemic response systems for face mask detection. His research demonstrates strong interdisciplinary connections between computer science and healthcare. An analysis of his publication trends reveals a clear progression toward increasingly complex deep learning architectures applied to real-world problems, with recent work emphasizing medical applications using mobile technology and public health safety systems. His 2023-2025 publications show particular focus on skin disease classification, intelligent vehicle systems, and hybrid feature extraction methods for pandemic response. Dr. ÖZTEL has served as a reviewer for numerous prestigious journals including Expert Systems With Applications (multiple years), World Wide Web, Multimedia Tools and Applications, and Journal of King Saud University - Computer and Information Sciences, demonstrating his recognition in the academic community across multiple domains. His research projects include work on facial expression detection in open scientific databases (2020), performance evaluation of transfer learning approaches (2019), and current projects on brain tumor classification systems and earthquake safety education for individuals with developmental disabilities. His international research experience includes collaboration with Filiz Bunyak in 2017, indicating global engagement in his field.

Jun Hwa Cheahمشاهده پروفایل

دانشیار

• Digital Marketing
• Technology Marketing
• Consumer Behavior
• +۳ مورد دیگر

Jun Hwa (Jacky) Cheah is an Associate Professor in Marketing at the Norwich Business School, University of East Anglia (UEA), a position he has held since February 2023. Before joining UEA, he served as a Senior Lecturer at Universiti Putra Malaysia and Universiti Teknologi Malaysia in Malaysia. He holds a PhD in Business Economics and an MBA in International Business from Universiti Putra Malaysia, along with a Bachelor of Management in Marketing from Universiti Malaysia Terengganu. His research focuses on digital marketing, technology marketing, consumer behavior, data analytics, and statistical modeling. He has published extensively in top journals such as the Journal of Business Research , European Journal of Marketing , and Psychology & Marketing . He currently serves as a Guest Editor, Associate Editor, and Editorial Board member for multiple academic journals. Dr. Cheah has received several accolades, including the Emerald Young Researcher Award (2021) and a Young Researcher Award from his former university. He has supervised PhD students, one of whom successfully completed their doctoral program. He is actively engaged in PhD supervision and collaborative research, with a strong emphasis on advancing quantitative methodologies and addressing contemporary marketing challenges.

Omkar Prabhakar Dastaneمشاهده پروفایل

مدرس ارشد

• Technological Influence on Businesses
• Digital Consumer Behaviour
• Customer Value Perception
• +۵ مورد دیگر

Dr. Omkar Prabhakar Dastane is a Senior Lecturer and Director of Postgraduate Studies at the Malaysia School of Business, Monash University Malaysia. He holds a PhD in Business from Curtin University and certifications including Certified Management and Business Educator (CMBE) from CABS, UK, and HRDF-approved trainer status in Malaysia. His research focuses on technological impacts on businesses, digital consumer behavior, and customer value perception, with publications in A-ranked journals like the Journal of Retailing and Consumer Services and Asia Pacific Journal of Marketing & Logistics . He has secured MYR 157,549 in research grants and received notable awards like the Best Paper Awards (2017/2018) and Emerald Literati Award (2024). Dr. Dastane has held leadership roles including Head of MBA Programs and Head of Postgraduate Studies at top-tier institutions. He actively contributes to editorial roles for journals like Arab Gulf Journal of Scientific Research and reviews for SSCI/SCIE-indexed publications. His teaching emphasizes strategic branding and services marketing, integrating AR/VR tools for immersive learning. He has also led educational visits across ASEAN countries. His research interests span metaverse applications in business, immersive technologies, and contemporary consumer behavior trends. Recent work explores AI-driven services, live-stream commerce, and digital transformation's role in achieving UN SDGs. He has advised on over 200 research projects and secured multiple teaching grants including the 2025 Learning & Teaching Grant.

• Data Visualization
• Scientometrics
• Science of Science
• +۴ مورد دیگر

Katy Börner is a Professor affiliated with Indiana University, Bloomington, USA. Her research focuses on data visualization, scientometrics, and the science of science, with contributions to tools like Network Workbench (NWB) and Sci2. She leads interdisciplinary projects such as the Human Reference Atlas and explores visualization literacy in education and public health. Her work spans virtual reality applications, biomedical knowledge networks, and AI-driven scientific discovery. Key research interests include mapping scientific collaboration networks, analyzing scholarly publications, and developing visualization frameworks for big data. She collaborates widely with institutions like NIH and VIVO, advancing open science and interdisciplinary research. Her projects often bridge computational methods with human-centric design, enhancing understanding of complex systems in health, technology, and social sciences. Publications highlight innovations in interactive visualization tools (e.g., opioid crisis research networks), data integration (Human Reference Atlas), and AI applications in biomedical research. She emphasizes translating data into actionable insights through visual analytics, impacting policy, education, and healthcare.

Tan Kim Limمشاهده پروفایل

مدرس ارشد

• Organizational Psychology
• Consumer Behavior
• Future of Work
• +۳ مورد دیگر

Dr. Tan Kim Lim is a Senior Lecturer at the James Cook University (Singapore Campus), specializing in organizational psychology and consumer behavior. He holds a PhD from Curtin University (2016–2019), an MBA from the University of Melbourne (2004–2006), and a Bachelor of Business from Monash University (1999–2002). His research focuses on the future of work, employee attitudes, technology adoption in hospitality/tourism, and consumer behavior analysis. He employs advanced methodologies like PLS-SEM and has published over 47 articles in top journals like the European Business Review and Asia Pacific Journal of Marketing and Logistics . Dr. Lim has held roles including Assistant Professor at BNU-HKBU United International College (2020–2022) and Post-doctoral researcher at the Human Capital Leadership Institute (2019–2021). He currently serves on editorial boards of the Journal of Responsible Tourism Management and Journal of Global Responsibilities , and is a member of the Singapore Human Resource Institute and Society of Industrial-Organizational Psychology. His applied research spans commissioned projects for governments and private entities, including studies on waste classification behavior, country music festivals, and AI adoption in social services. Awards include the JCUS Early Career Researcher Award (2023) and Emerald Literati Reviewer Award (2022). Dr. Lim also actively speaks at regional conferences on topics like AI in networking and post-pandemic workplace trends. His current research interests include STARA (Smart Technologies, AI, Robotics, Algorithms) impacts on work, meaningful work dynamics, and tourism behavior analysis. He supervises PhD students exploring AI in social services, indigenous tourism, and workplace technology adoption.

Ming Linمشاهده پروفایل

استاد

• AI and Robotics
• Computer Vision
• Computer Graphics
• +۵ مورد دیگر

Ming Lin is a Distinguished University Professor at the University of Maryland, College Park, holding joint appointments in Computer Science (Department of Computer Science), the Institute for Advanced Computer Studies (UMIACS), Electrical and Computer Engineering (ECE), and the Maryland Robotics Center. She holds the Dr. Barry Mersky and Capital One E-Nnovate Endowed Professorships. Her research focuses on physically-based modeling, virtual environments, haptics, robotics, and AI applications in healthcare and urban computing. Education: Ph.D., M.S., and B.S. in Electrical Engineering & Computer Sciences from UC Berkeley. She previously spent 20 years at UNC Chapel Hill before joining UMD in 2018. Research interests include collision detection algorithms (e.g., Lin-Canny algorithm), real-time physics simulation, virtual/augmented reality systems, and medical imaging applications. Her work has led to over 2 million downloads of her group's software tools and licenses with 60+ companies. Notable contributions include the Oculus Rift-related VR technologies and Amazon's virtual try-on system. Awards: IEEE Fellow (2012), ACM Fellow (2011), NAI Fellow (2022), and Washington Academy of Sciences Distinguished Career Award (2020). Active in professional service, she serves on the CRA Board and chairs the Committee on Widening Participation in Computing Research. Advising: Supervises 12+ PhD/Master's students. Her lab (GAMMA Group) focuses on AI-driven robotics, autonomous systems, and physically-based simulations. Key projects include traffic simulation frameworks, medical VR applications, and 3D garment modeling.

Kai-Yu Wangمشاهده پروفایل

استاد

• Marketing
• Consumer Behavior
• Digital Marketing
• +۶ مورد دیگر

Kai-Yu Wang is a Professor of Marketing at the Goodman School of Business, Brock University. His research spans a wide range of topics in marketing, consumer behavior, and digital technologies, with a particular focus on service recovery, augmented reality, social media marketing, and brand management. Research Interests: Consumer behavior in digital environments Service recovery strategies in social media and chatbot contexts Augmented reality applications in marketing and consumer engagement Brand value co-creation and community building Cross-cultural consumer psychology His recent work delves into the nuances of consumer interactions with emerging technologies like chatbots and AR, examining how these tools influence customer relationships and decision-making processes. Contact Information: Email: kwang@brocku.ca Phone: 905 688 5550 x5597

Mary Lacityمشاهده پروفایل

استاد

• Blockchain Technology
• Decentralized Identity
• Metaverse
• +۴ مورد دیگر

Dr. Mary Lacity is a Distinguished Professor of Information Systems at the Sam M. Walton College of Business, University of Arkansas, and holds the David D. Glass Endowed Chair. She is also a Visiting Professor at the London School of Economics for Spring 2025. Director of Walton College’s Blockchain Center of Excellence (2014-2019) Former Curators’ Distinguished Professor at University of Missouri Holds visiting positions at MIT, Washington University, and Oxford University Senior Editor for MIS Quarterly Executive Contributing Editor for Journal of the British Blockchain Association Her research focuses on enterprise adoption of emerging technologies, particularly blockchain, metaverse, service automation, and ethical technology use. She has conducted extensive case studies and surveys on automation and Web3 implementation across hundreds of organizations globally. Recent publications include books like Human Privacy in Virtual and Physical Worlds (2024) and Blockchain Fundamentals for the Web 3.0 (2022). She has over 30 books and 26,300 Google Scholar citations (h-index: 68). 2014: Inducted into IAOP’s Outsourcing Hall of Fame 2024: Recognized as top 2% scholar in Business and Management (Stanford) 2024: Top 1% scholar in Business and Management (ScholarGPS) Fellow of the Association of Information Systems She actively contributes to blockchain standards via the Global Standards Mapping Initiative (GSMI) of the Global Blockchain Business Council and the Linux Foundation’s Trust over IP (ToIP). Her work bridges academic research and practical applications in enterprise technology adoption.

Carol Tanمشاهده پروفایل

مدرس ارشد

• Fashion Entrepreneurship
• Fast-growth SMEs
• Sustainable Fashion
• +۷ مورد دیگر

Dr. Carol Tan is a Senior Lecturer and Program Manager of the Master of Fashion Entrepreneurship at RMIT University's School of Fashion and Textiles. Her research focuses on fast-growth small-to-medium enterprises (SMEs), sustainable fashion practices, consumer behavior, and luxury fashion. She has been actively researching since 2003 and has contributed to peer-reviewed journals, media commentary, and industry reports. Dr. Tan holds six teaching awards, including the RMIT University Program Award for Innovation in Curricula (2013) and the 2011 Three-Minute Presentation Award. She currently supervises five PhD students. Research Highlights: Circular economy in fashion, virtual fashion consumption, blockchain in supply chains, and SME resilience. Media Engagement: Featured in ABC National Radio, The Age, Sydney Morning Herald, and industry reports on Australian fashion industry challenges. Committees: Member of RMIT's Learning and Teaching Committee (2024).

Sarah Xiaoمشاهده پروفایل

استاد

• Behavioral Change
• Consumer Analytics
• Big Data
• +۱۳ مورد دیگر

Sarah Xiao is a Professor of Marketing and Head of Department at Durham University Business School, with a dual role as Programme Director for the Doctorate in Business Administration (DBA) at Fudan University, China. As a consumer psychologist, her work bridges technology, marketing, and behavioral analysis in retail, tourism, and digital economies. Her research spans: Behavioral Change in consumer decision-making Consumer Analytics (AI, Big Data, Machine Learning) Illicit Consumption and consumer misbehavior Neuroscience in marketing and consumer choice Mobile Commerce and Digital Marketing strategies Recent publications focus on AI-driven consumer behavior, social media revenge typologies, and predictive modeling in tourism demand forecasting. She supervises PhD students including Bai Dan, Matthew He, Coco Li, and Shujun Xiao, while collaborating with global institutions and private-sector partners. Her work has attracted significant research funding and appears in leading journals like Journal of the Academy of Marketing Science and Annals of Tourism Research .

Ben Marderمشاهده پروفایل

استاد

• Digital Marketing
• Consumer Behaviour
• Social Media
• +۸ مورد دیگر

Ben Marder is a Personal Chair in Digital Marketing and Consumer Behaviour at the University of Edinburgh School of Business , where he specializes in the unintended consequences of digital technologies on consumer behavior and service ecosystems. He serves as Director of Research Degrees and teaches Introduction to Business Research online. Education PhD in Marketing/Information Systems (2013), University of Bath MSc in Marketing (Distinction, 2008), University of Leicester BSc in Financial Economics (First Class, 2007), University of Leicester His research bridges social psychological theory with digital marketing, focusing on: Social media surveillance and self-presentation Instagrammability and visual culture AI ethics and human factors Influencer marketing dynamics Augmented/Virtual Reality applications Online reviews and service recovery His recent work explores vertical video formats (TikTok), emoji/GIF communication , and virtual item consumption in gaming/Metaverse environments. He advocates for student and academic wellbeing and has contributed to public discourse via LinkedIn and media outlets like BBC and The New York Times . Ben's 92+ research outputs emphasize mixed-method approaches, prioritizing quantitative experiments . Key trends include: Behavioral impacts of social media surveillance Psychological drivers of digital consumption Algorithmic trust and service innovation Scientific Awards Best Paper Prize (2018) Literati Prize - Commendable contribution (2018) Most Read Article (2025) Ben supervises quantitative research projects and collaborates on digital marketing trends with journals like Journal of Retailing and Journal of Service Research . He has led projects on social media's impact on service workers, consumer self-awareness, and Facebook post engagement metrics.