جست‌وجوی استاد و پژوهشگر

Scott McCabeمشاهده پروفایل

استاد

• Social Tourism
• Consumer Behavior
• Responsible and Ethical Tourism
• +۴ مورد دیگر

Scott McCabe is a Professor of Marketing at Birmingham Business School, University of Birmingham. He earned his PhD from the University of Derby in 2001, focusing on visitor motivations in the Peak District National Park, and holds an MA in Leisure and Tourism Studies from the University of North London (1993) and an HND in Leisure Studies from the University of Salford (1991). Current co-editor in Chief of the Annals of Tourism Research Editorial board member of Tourism Management Elected fellow of the International Academy for the Study of Tourism (2019+) His research spans social tourism , responsible tourism , tourist emotions , and socio-linguistic methodology , with significant work on wellbeing outcomes from supported holidays for disadvantaged families. He has contributed to Annals of Tourism Research , Journal of Travel Research , and other top-tier journals. Recent publications address topics like qualitative research sampling , tourism theory , dark tourism motivations , and smart destination engagement . His work combines tourism policy critique , consumer behavior analysis , and methodological innovation . Scientific awards include fellowships and leadership roles in international tourism research committees. He has served as VP for the International Sociological Association's Tourism Research Committee and co-chairs the Academy of Marketing's Tourism Marketing SIG.

Mariya Tonevaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Natural Language Processing
• Neuroscience
• +۵ مورد دیگر

Mariya Toneva is a tenure-track faculty member at the Max Planck Institute for Software Systems , conducting groundbreaking research at the intersection of Machine Learning , Natural Language Processing , and Neuroscience . She leads the Bridging AI and Neuroscience (BrAIN) group , focusing on computational models that align AI systems with human brain processes. Her work aims to enhance both AI capabilities and neuroscience understanding through this cross-disciplinary approach. Actively recruiting postdocs, PhDs, and research interns in areas like code/text representation, brain-AI alignment, and neuroimaging data analysis Collaborator on NIH-funded projects using fMRI and neuropixel data Research Themes : Her group explores neural mechanisms of language processing, event segmentation in narratives, memory reactivation via music, and effective human-AI collaboration frameworks. Key methods include LLM analysis, cross-modal similarity metrics, and naturalistic task-based fMRI studies. Key Publications (2024-2025): Brain-tuned speech models (INTERSPEECH 2025) Cognitive event boundaries in LLMs (Behavioral Research Methods 2025) Music-induced memory reactivation (biorxiv 2024) LLM-brain alignment reasons (EMNLP 2024) Advising : Mentors PhD candidates Omer Moussa (speech processing), Camila Kolling (representational similarity), and Gabriele Merlin (LLM alignment). Collaborates with institutions like MIT, NYU, and ETH Zurich.

Harrison Smithمشاهده پروفایل

مدرس

• Political Economy of Data Analytics
• Consumer Surveillance
• Smart Cities
• +۶ مورد دیگر

Dr Harrison Smith is a Lecturer in Digital Media & Society at the University of Sheffield's School of Sociological Studies, Politics and International Relations. He holds a PhD from the University of Toronto’s Faculty of Information, alongside MA and BA degrees in Sociology from Queen’s University, Canada. His research focuses on the political economy of data analytics, particularly in smart cities and consumer surveillance contexts. Education: PhD in Information Studies, University of Toronto (Canada) MA in Sociology, Queen’s University (Canada) BA (Hons) in Sociology, Queen’s University (Canada) Smith’s research examines how data infrastructures shape socio-economic inequality through processes like surveillance, classification, and market segmentation. Key areas include location-based marketing, 5G data infrastructures, and industry consolidation in data analytics. His work critiques how digital technologies reconfigure urban spaces and labor markets, particularly in 'smart city' contexts. Recent publications explore the metaverse's industrial implications, blockchain’s role in dispute resolution, and surveillance practices at music festivals. His teaching includes leading the module SCS2016: The Sociology of the Media. Smith’s expertise bridges media theory, urban informatics, and critical data studies, emphasizing ethical and political dimensions of digital technologies in everyday life.

Christopher A. Baldassanoمشاهده پروفایل

دانشیار

• Perception
• Memory
• Cognitive Neuroscience
• +۲ مورد دیگر

Christopher A. Baldassano is an Associate Professor in the Department of Psychology at Columbia University, maintaining offices in Schermerhorn Hall (370 for office, 312 for lab). Contact is available via email c.baldassano@columbia.edu or phone +1 212 854 1902 by appointment. Education Ph.D., Stanford University, 2015 Research Focus Dr. Baldassano leads the Dynamic Perception and Memory Lab investigating how humans process and recall complex real-world experiences through event segmentation, temporal/spatial structure modeling, and neural representation formation. His work integrates cognitive neuroscience with machine learning approaches to analyze fMRI data during narrative, movie, and virtual reality experiments. Key research themes include event cognition dynamics, memory summarization mechanisms, and how prior knowledge shapes mental representations of everyday experiences. Scientific Awards No awards or fellowships were documented in the provided materials. Advising and Grants While specific student advisees and grant details weren't listed, his lab structure implies active mentorship of graduate researchers in cognitive neuroscience methodologies. Funding likely supports fMRI experimentation and computational modeling infrastructure. Laboratory Operations The Dynamic Perception and Memory Lab employs functional MRI combined with data-driven machine learning techniques to model neural representation variations across stimuli and individuals. Current projects examine event boundaries in continuous experiences using ecologically valid paradigms like movies and virtual environments, with emphasis on how temporal/spatial world structures influence cognitive processing.

Michael Britoمشاهده پروفایل

مدرس

• Digital Marketing
• Social Media Strategy
• Brand Communications
• +۱۲ مورد دیگر

Michael Brito is a Lecturer in Mass Communications and Social Media at the School of Journalism and Mass Communications, College of Humanities and the Arts, San José State University. He is also a seasoned industry leader, currently serving as the Global Head of Data + Intelligence at Zeno Group, where he leads a 50-member analytics team supporting global clients in B2B, consumer, technology, and healthcare sectors. His academic and professional work bridges digital marketing, brand strategy, and data-driven communications. Michael’s research interests include digital marketing, social media strategy, brand communications, narrative intelligence, audience segmentation, and AI applications in PR. He is a recognized thought leader with extensive publications and blog posts exploring brand archetypes, earned media, customer engagement, and the future of digital storytelling. His work emphasizes the integration of data analytics into strategic communications to enhance brand visibility and audience connection. The trends in his recent articles reflect a strong focus on artificial intelligence in public relations, media intelligence, narrative analysis, and the evolution of digital customer journeys. His writings analyze tools like Pulsar and Cision, explore generative AI in search, and critique traditional metrics like earned media value, advocating for more sophisticated, insight-driven approaches. Top 50 Social Intelligence Pioneers by The Social Intelligence Lab Dashboard 25 Class of 2022 by PRWeek Top 25 Digital PR Innovators by PRovoke Media Michael Brito mentors students in digital communications and advises on strategic brand development. He has led major initiatives in media monitoring, social intelligence, and data-informed PR outreach. He founded and contributes to a widely-read blog on social media marketing and is a frequent speaker at industry events, including TEDx. He is also a proud U.S. Marine veteran, bringing leadership and discipline to his academic and professional roles. He is actively involved in the COMM+ lab at SJSU and supports student media through his teaching and mentorship. His work continues to influence both academic curricula and industry best practices in digital communications and brand analytics.

Kelly Bennionمشاهده پروفایل

دانشیار

• Emotional Memory
• Sleep and Memory
• Stress and Memory
• +۳ مورد دیگر

Kelly Bennion serves as an Associate Professor in the Psychology and Child Development Department at California Polytechnic State University. Her research examines how real-life variables—such as emotion, stress, physiological arousal, and sleep—affect memory encoding and consolidation using behavioral experiments, eye tracking, polysomnography, and neuroimaging. She investigates how sleep selectively enhances memories for emotionally salient or future-relevant information in ecologically valid contexts. (78 words) Her educational background includes: Ph.D. and M.A. in Psychology (Cognitive Neuroscience concentration) from Boston College Ed.M. in Mind, Brain, and Education from Harvard Graduate School of Education B.A. in Psychology and Spanish (summa cum laude, Phi Beta Kappa) from Middlebury College Dr. Bennion's work focuses on memory prioritization mechanisms during sleep-wake cycles, particularly how emotional arousal and physiological stress modulate consolidation. She explores real-world applications including educational strategies and mental health interventions, emphasizing the interaction between cortisol levels and sleep-dependent memory processing. Her multi-method approach bridges laboratory findings with naturalistic memory phenomena. (92 words) Analysis of her 2020-2025 publications reveals three dominant research streams: (1) sleep's role in enhancing emotional and future-relevant memories through selective consolidation, (2) cross-episode memory integration via semantic relatedness and surprise mechanisms, and (3) interdisciplinary extensions into public health (postpartum interventions) and environmental toxicology (bisphenol A effects). Her methodology increasingly combines behavioral metrics with physiological monitoring to capture memory dynamics in complex scenarios. (68 words) Dr. Bennion actively mentors undergraduate researchers, evidenced by student co-authorships on publications including Jackson (2019) on school shooter perceptions. While specific grant details aren't provided, her sophisticated research infrastructure implies substantial external funding. She teaches core psychology courses including Research Methods, Biopsychology, and Memory, emphasizing hands-on methodology training. Her laboratory maintains advanced capabilities for sleep monitoring, eye tracking, and neuroimaging to investigate memory consolidation across physiological states. (76 words)

• Transport Planning
• Urban Sustainability
• Data Analysis
• +۵ مورد دیگر

Roles and Affiliations: Doina Olaru is a Professor in the Department of Management and Organisations at the University of Western Australia (UWA) Business School. She is affiliated with the Planning and Transport Research Centre and holds a visiting position at the University of Burgos, Spain. Her work focuses on transport planning, urban sustainability, and data-driven decision making. Education: PhD in Transport Engineering (University Politehnica of Bucharest, 2000). Prior industry experience includes roles as a railway engineer and Postdoctoral Research Scientist at CSIRO. Research Interests: Urban transport systems, travel behavior modeling, accessibility analysis, environmental impacts of transport, and applications of artificial intelligence. She emphasizes sustainable solutions integrating land-use and transport policies. Grants and Collaborations: Principal investigator on 31 grants, including ARC Linkage Projects and industry partnerships with iMOVE CRC. Collaborates with institutions like the University of Oxford, University of Leeds, and University of Sydney. Awards: Multiple teaching awards (UWA Business School) and recognition for contributions to transport research, including the Dennis Moore Australian Computer Society Orator honor. Teaching: Courses include Data Analysis and Decision Making, and Quantitative Data Analysis. Over 10 teaching excellence nominations. Current Projects: Focus areas include smart transport technologies, roundabout modeling via drone analytics, and hybrid work impacts on transport demand.

Arnold Japutraمشاهده پروفایل

دانشیار

• Consumer-brand relationships
• Consumer negative behaviours
• Dark-side of brands
• +۷ مورد دیگر

Dr. Arnold Japutra is an Associate Professor of Marketing at Southampton Business School, University of Southampton. His research focuses on brand management, consumer behaviour, relationship marketing, and the adoption of emerging technologies such as AI, AR/VR, and robotics. Recognized among the Top 2% of Global Scientists, he has published in leading journals including the Journal of Business Research, European Journal of Marketing, International Marketing Review, Journal of International Management, Journal of Travel Research and Tourism Management. Dr. Japutra has held academic roles at the University of Western Australia and Universitas Indonesia, and has extensive experience in teaching, corporate training, and consulting for global organizations. His research interests include: Consumer-brand relationships Consumer negative behaviours Dark-side of brands Human-Robot interactions Adoption of new technologies (e.g., AI, AR, VR) Brand management (e.g., brand attachment, brand loyalty, brand equity) Technology adoption and consumer behaviour (e.g., impulsive and compulsive buying) Dr. Japutra's research sits at the intersection of branding, consumer psychology, and emerging technologies. His work examines how consumer–brand relationship factors drive both positive behaviors and negative ones such as impulsive buying, compulsive consumption, and trash-talking. He investigates how psychological traits shape consumer decision-making and has recently been exploring human-technology interactions with a focus on AI, robotics, AR, and VR. His publication pattern shows a clear evolution from traditional brand management topics toward increasingly technology-focused research, particularly examining the psychological impacts of AI and digital interfaces on consumer behavior. Dr. Japutra has received numerous prestigious awards, including: Stanford 2% Global Scientist Citation Rankings (2023, 2024) Business School Mid-Career Research Award, University of Western Australia (2023) Best Researcher Award, Faculty of Economics and Business, Universitas Indonesia (2023, 2022) Best paper at Journal of Hospitality and Tourism Management (2019) Best Researcher Award and Top Publication Award, Tarumanagara University (2016) Dr. Japutra is actively accepting PhD students and has extensive experience mentoring graduate researchers. His research has been supported by various grants though specific funding sources aren't detailed in the provided materials. He has also delivered corporate training and consulting services for numerous global organizations, bridging academic research with practical business applications.

Wei Pangمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۷ مورد دیگر

Wei Pang is a Professor of Computer Science and Bicentennial Research Leader at the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh. He leads the BCML Lab and is affiliated with the Edinburgh Centre for Robotics and National Robotarium. His expertise spans bio-inspired computing, machine learning, and AI applications in healthcare, robotics, and sustainability. Pang holds a PhD in Computing Science from the University of Aberdeen, with prior roles including Senior Lecturer at the University of Aberdeen and research fellowships in systems biology. Affiliations: Heriot-Watt University, Edinburgh Centre for Robotics, National Robotarium Education: PhD in Computing Science (2009), MEng (by research), BSc (Jilin University, China) Research Interests: Bio-inspired computing (e.g., artificial immune systems, swarm intelligence), machine learning (deep learning, explainable AI), healthcare applications (medical imaging, disease detection), and interdisciplinary projects in robotics and environmental science. His work addresses challenges in robust AI, fairness, and accountable machine learning. Recent Projects: EPSRC-funded RAIns and MI projects, CRUK-funded Endo.AI, and PRIME project on minority ethnic communities' digital experiences. His research has secured over £10M in grants, including £3.5M institutional funding. Awards: Scottish Crucible Award (2015), ADMA Best Paper Runner-Up (2016), EPSRC PRIME Award (2024) Grants/Advising: Supervised 12 PhD completions; contributed to £10M+ external funding. Labs/Teams: BCML Lab (focusing on bio-inspired AI), collaborations with Oxford, Cambridge, and industrial partners like Weather2 and Data2Text.

Jordi McKenzieمشاهده پروفایل

دانشیار

• Industrial Organization
• Cultural Economics
• Economics of Digitisation
• +۵ مورد دیگر

Jordi McKenzie is an Associate Professor in the Department of Economics at Macquarie University. His research focuses on industrial organization, cultural economics, and digitization, with notable contributions to digital piracy, film industry economics, and generative AI in media. He holds degrees from the University of Sydney (PhD, MEc Hons) and the University of Tasmania (BEc Hons). Education: PhD in Economics, University of Sydney MEc (Hons) in Economics, University of Sydney BEc (Hons) in Economics, University of Tasmania Research interests include AI ethics in content creation, cultural trade patterns, and the economic impact of streaming services. His work has been published in journals like Poetics and Journal of Cultural Economics . He has contributed to policy discussions on digital piracy, music industry recovery post-pandemic, and author rights in AI-generated content. Recent projects include studying the transformation of data into trusted data products, digital piracy policy impacts, and subscription video on demand’s effect on legal/illegal consumption. He received the Mallen Lifetime Achievement Award in 2014 for contributions to film industry economics. McKenzie has engaged in media commentary on topics like Netflix’s viewing metrics, music collaboration impacts, and talent show biases. His research often bridges empirical evidence and policy implications, emphasizing the cultural and economic dimensions of digitization.

• Memory
• Cognitive Control
• Neuroscience
• +۵ مورد دیگر

Mikael Johansson is a Professor in the Department of Psychology at Lund University, where he leads research on the cognitive and neural bases of memory and cognitive control. His academic appointments include membership in eSSENCE: The e-Science Collaboration, LAMiNATE (Language Acquisition, Multilingualism, and Teaching), LU Profile Area: Proactive Ageing, and LU Profile Area: Natural and Artificial Cognition. With 159 research outputs and leadership in 18 projects (8 active), he maintains a prominent position in cognitive neuroscience research. His research focuses on the neural mechanisms of memory using behavioral, electrophysiological (EEG/ERP), and functional magnetic resonance imaging (fMRI) methods. Key interests include interactions between memory systems, formation and retrieval of episodic memories, emotion regulation and emotional memory, mechanisms underlying incidental and intentional forgetting, and the relationship between eye-movements, mental imagery and memory. His work has significant implications for understanding memory functions in psychiatric conditions such as depression and post-traumatic stress disorder. Analyzing his extensive publication record spanning from 2012-2025 reveals a consistent focus on memory mechanisms with increasing integration of eye-tracking methodologies and clinical applications. His research demonstrates an evolving trajectory from basic memory processes toward understanding memory in real-world contexts and clinical populations, with recent work emphasizing the role of eye movements in memory construction and the neural dynamics of memory integration. Mikael Johansson serves as a member of The Swedish National Committee for Psychological Sciences at the Royal Swedish Academy of Sciences since 2011 and has received significant research funding including from The Bank of Sweden Tercentenary Foundation, Swedish Research Council, and Stiftelsen Marcus och Amalia Wallenbergs Minnesfond. His current major projects include TEAM: Transdisciplinary Approaches to Learning, Acquisition, Multilingualism (2024-2029), Tracking cognitive change as a function of normal ageing and different types of degenerative disease, and How the brain constructs the present and reconstructs the past via sequences of eye movements. He leads the Lund Memory Lab where his team investigates how the brain constructs and maintains coherent episodic memories through eye movements. His research group actively collaborates with international partners across multiple disciplines, bridging cognitive psychology, neuroscience, and clinical applications. The lab's work has gained significant attention, with several publications being highlighted in news outlets and academic discussions.

Gabriele Grattonمشاهده پروفایل

استاد

• Brain Function
• Brain Activity
• Event-related Optical Signal
• +۷ مورد دیگر

Gabriele Gratton is a Professor in the Department of Psychology and Neuroscience Program at the University of Illinois Urbana-Champaign, and serves as a Theme Lead at the Beckman Institute for Advanced Science and Technology. With over 178 research outputs, Gratton has established a distinguished career in cognitive neuroscience with a focus on brain function, aging, and neuroimaging techniques. Gratton's research interests center around brain function and activity , particularly using Event-related Optical Signal (EROS) and other neuroimaging methods. Key areas include optical imaging , aging effects on cognition , event-related brain potentials , and cerebrovascular health . Much of their work investigates how vascular health, fitness, and aging interact to affect brain structure and cognitive performance across the lifespan. The research portfolio shows a strong trend toward multimodal neuroimaging approaches, with recent work focusing on trimodal brain imaging techniques that simultaneously investigate human brain function. There's also significant emphasis on understanding how physical activity and fitness impact cognitive aging, white matter integrity, and cerebrovascular health. Association for Psychological Science Fellow (2006) Foundation of Augmented Cognition Award (2005) President of Society for Psychophysiological Research (2009) SPR Award for Distinguished Contributions to Psychophysiology (2019) SPR Early Career Award (1997) Gratton has received extensive recognition for their work, with publications being picked up by news outlets and shared across social media platforms. Their research has been referenced by numerous scholars, with several papers accumulating significant reader attention on academic platforms like Mendeley. Much of this work is conducted through the Beckman Institute, where Gratton leads research themes focused on advanced brain imaging and cognitive neuroscience.

• Gender Economics
• Labor Economics
• Health Economics
• +۳ مورد دیگر

Maryam Dilmaghani is a Professor of Economics at the Sobey School of Business, Saint Mary's University. Her research focuses on gender economics, labor markets, health economics, and behavioral economics. She examines topics such as decision-making under competition, socio-cultural influences on economic behavior, and disparities in well-being across demographic groups. Her work frequently employs empirical approaches to analyze data from elite competitions, labor markets, and Canadian demographic trends. Key research themes include: Gender gaps in earnings, risk-taking, and corrupt behavior Impact of religiosity, education, and body image on economic outcomes Demographic patterns in fertility, homeownership, and citizenship Discrimination studies related to race, sexual orientation, and gender identity Her recent publications explore weather effects on chess player performance, LGBTQ+ economic experiences, and the causal links between education and health behaviors. This work highlights intersections between economic systems and sociocultural factors shaping individual choices and societal structures. Dr. Dilmaghani holds no currently listed awards but has produced a prolific body of peer-reviewed research. Her work contributes to policy debates on workplace diversity, urban planning equity, and labor market inclusion. She can be reached at maryam.dilmaghani@smu.ca for academic collaboration inquiries.

• Sustainability
• Regional Development
• Tourism
• +۳ مورد دیگر

Pascal Scherrer is Associate Dean (Research) and Professor within the Faculty of Business, Law and Arts at Southern Cross University . Based in Lismore, Australia, he combines an administrative leadership role with active research in sustainability, regional development, tourism and visitor management. His work bridges academia, industry and government, having jointly secured over AUD $2 million in competitive funding and delivered high-impact projects for clients such as the NSW National Parks & Wildlife Service and the Australian Meat Processor Corporation. Education BSc – Griffith University BSc (Hons) – Griffith University Graduate Certificate TESOL – Bond University PhD – Griffith University Research Interests Dr Scherrer’s scholarship centres on sustainability science applied to tourism and regional development. His current flagship project is a circular-economy partnership with the Australian Meat Processor Corporation aiming to reduce plastic packaging waste across red-meat supply chains. Earlier work includes sustainable-visitor-capacity assessments on Rottnest Island , alternatives to summiting Wollumbin-Mt Warning that informed a AUD $7.4 million NSW government trail investment, and longitudinal monitoring of visitor experiences at Point Fraser artificial wetland in Perth. Cross-cutting themes include visitor risk perception in remote alpine and coastal settings, community engagement in protected-area governance, Indigenous tourism business models , and the intersection of digital culture (e.g., selfie-taking) with tourism safety. Scientific Awards 2023 – Southern Cross University Research Award 2014 – Southern Cross University Vice-Chancellor’s Award for Excellence in Community Engagement Grants & Advising Scherrer has jointly attracted over AUD $2 million in research and consultancy funding from state and federal agencies, industry bodies and NGOs. He currently supervises Honours and PhD candidates across topics in sustainable tourism, regional development and visitor management, and teaches undergraduate and postgraduate units covering sustainable tourism, visitor-economy management, and planning & policy. Professional Affiliations & Service Member, IUCN World Commission on Protected Areas Member, North Coast Regional Advisory Committee, NSW National Parks & Wildlife Service External facilitator for community and local-government projects

Feng Chenمشاهده پروفایل

دانشیار

• AI Safety
• Ethical AI
• Machine Learning
• +۷ مورد دیگر

Feng Chen is an Associate Professor in the Department of Computer Science at The University of Texas at Dallas (UT Dallas), part of the Erik Jonsson School of Engineering & Computer Science. He directs the AI Safety Laboratory and holds tenure. His research focuses on AI safety, ethical machine learning, uncertainty quantification, and fair algorithms. He earned a Ph.D. from Virginia Tech (2012), M.S. from Beijing University of Aeronautics & Astronautics (2004), and B.S. from Hunan University (2001). His research spans AI safety frameworks, resilient AI systems, fairness in healthcare and finance, cybersecurity, and environmental AI applications. Key contributions include uncertainty-aware deep learning, causal representation learning, and adversarial vulnerability analysis. He has authored over 150 peer-reviewed publications, including top venues like NeurIPS, ICML, KDD, and ICDM. Grants: $4.2M+ in funding from NSF, Army Research Office, IARPA, and industry partners. Teaching: Courses in data mining, anomaly detection, and artificial intelligence since 2014. Notable achievements include an NSF CAREER Award (2018) and leadership in projects like EMBERS (social media event prediction). His work bridges theory and practice, addressing societal challenges through ethical AI principles. Labs/Teams: AI Safety Laboratory (UT Dallas), collaborative projects with Virginia Tech, Carnegie Mellon, and industry partners on software vulnerability analysis and causal AI. Awards: Multiple best paper nominations, including 2nd Place in NAE Security Category (2009) and UT Dallas Outstanding Research (2021-2022).