جستجوی استاد راهنمای دانشگاهی

Catherine Laingمشاهده پروفایل

مدرس ارشد

• Developmental Linguistics
• Infant Language Acquisition
• Phonetics
• +۹ مورد دیگر

Catherine Laing is a Senior Lecturer in Developmental Linguistics at the Department of Language and Linguistic Science, University of York, where she has been a faculty member since 2021. She previously served as a Lecturer in Linguistics at Cardiff University (2017–2021) and as a Postdoctoral Research Associate at Duke University (2016–2017). She earned her PhD in Linguistics from the University of York in 2015. Her research focuses on infant language development, especially phonological and phonetic aspects of early word learning, babbling, and the role of iconicity (e.g., onomatopoeia and sound symbolism) in lexical acquisition. She uses acoustic, computational, observational, and experimental methods to explore how sensorimotor feedback and caregiver input shape early vocal development. She is the Principal Investigator of the ERC/UKRI-funded SENFM project, which uses lingual ultrasound to study infants aged 2–18 months. Her recent publications demonstrate a strong trend in analyzing phonological networks, caregiver speech patterns, and the influence of social and environmental factors (e.g., siblings, lockdown conditions) on early language. She frequently collaborates with leading researchers such as Elika Bergelson, Tamar Keren-Portnoy, and Ghada Khattab. General Editor, Language and Cognition PI, SENFM Project (senfm.york.ac.uk) Active contributor to open science via GitHub and OSF She is currently on a two-year research leave starting February 2024. Her work bridges developmental linguistics, cognitive science, and experimental psychology, contributing significantly to our understanding of the mechanisms underlying early language acquisition.

• Clinical Psychology
• Body Image
• Body Dissatisfaction
• +۷ مورد دیگر

Dr. Nina Gehrer is a Post-Doc researcher in the Department of Psychology at the University of Tübingen, affiliated with the Faculty of Science and the Clinical Psychology and Psychotherapy research group. Her work is centered on understanding cognitive and perceptual mechanisms underlying psychopathy and body image disturbances, using advanced eye-tracking methodologies. Her research interests include: Body dissatisfaction and body image interventions Attention biases and social information processing Eye tracking in clinical populations Psychopathy and antisocial behavior Emotion recognition and gaze behavior Cognitive mechanisms in violent offenders The recent publications (2017–2022) reflect a strong focus on eye movement patterns in psychopathy, emotion processing in epilepsy, multisensory perception, and methodological innovations in gaze analysis. Her work frequently involves incarcerated populations and employs both experimental and clinical paradigms. Collaborations with researchers like M. Schönenberg, A. Jusyte, and A.T. Duchowski highlight interdisciplinary and international research efforts. Scientific awards and honors are not mentioned in the provided text. Dr. Gehrer has been actively involved in research since her PhD (2015–2020) and completed a psychiatric internship (2021–2022) as part of her psychotherapy training. There is no mention of grant leadership or student advising in the available data. She is based at Schleichstraße 4, Room 4.407, Tübingen.

Rhonda N. McEwenمشاهده پروفایل

استاد

• Social Media
• Human-Computer Interaction
• Mobile Communication
• +۱۰ مورد دیگر

Rhonda N. McEwen is a Professor at the University of Toronto's Faculty of Information and the Institute of Communication, Culture, Information and Technology (ICCIT). Her work bridges Social and new media Human-machine communication Mobile learning and cognition Special education technology domains. With a PhD in Information (University of Toronto), MSc in Telecommunications (University of Colorado), and MBA in Information Technology (City University, London), she combines technical and social science perspectives. Her research focuses on Emerging media and cognitive informatics Eye-gaze systems for communication Virtual reality perception studies Autism and technology Human-robot trust dynamics . She holds a Canada Research Chair in Emerging Media and Communication, and her work has been featured by 60 Minutes (USA/Australia) and Toronto Star . Recent publications explore VR-based gene regulation simulations and mobile device impacts on education . Notably, her team's eye-gaze technology research (2021) demonstrates how these systems enable communication for children with complex needs. She actively mentors graduate students in projects ranging from home companion robots to mobile communication in autism education .

Erika Lázárمشاهده پروفایل

استادیار

• Customer Experience
• Marketing Research
• Neuromarketing
• +۳ مورد دیگر

Erika Lázár serves as an Assistant Professor and researcher at the University of Pécs, Faculty of Business and Economics within the Marketing and Tourism Department, while maintaining active research affiliation with the CoRe lab (Consumer Behavior Research Center). Her work integrates academic instruction with cutting-edge consumer behavior analysis. Her academic credentials include: MSc in Sociology from Budapest Corvinus University (2014) Master's degree in Marketing from University of Pécs Faculty of Business and Economics (2018) Ongoing doctoral studies in Business Administration at University of Pécs since 2018, focusing on emotional impacts of retail mobile applications on customer experience Dr. Lázár specializes in neuromarketing and digital observation methodologies, examining how emerging technologies shape consumer emotions and decision-making processes. Her research bridges traditional market research with innovative techniques like eye-tracking and automated content analysis, particularly investigating emotional responses to mobile retail applications. This work establishes critical connections between technological interfaces and psychological consumer reactions in digital commerce environments. Her publication portfolio demonstrates consistent focus on methodological innovation in consumer research, with recent works exploring gamified surveys, automated content analysis of emotional responses, and neuromarketing validation techniques. These studies collectively advance understanding of digital consumer behavior through rigorous application of both established and emerging research frameworks. Scientific Awards: No scientific awards documented in available materials While specific grant funding isn't detailed, her doctoral research and CoRe lab affiliation indicate active participation in institutional research initiatives. Her teaching responsibilities in the Marketing and Tourism Department since 2023 demonstrate commitment to academic knowledge transfer alongside research activities. As a core member of the CoRe lab (Consumer Behavior Research Center), Dr. Lázár contributes to Hungary's neuromarketing research infrastructure through empirical studies combining digital observation, survey methodologies, and biometric measurements to decode complex consumer behavior patterns in retail contexts.

Jennifer Taberمشاهده پروفایل

دانشیار

• Health Psychology
• Social Psychology
• Risk Perception
• +۴ مورد دیگر

Dr. Jennifer Taber is an Associate Professor in the Department of Psychological Sciences at Kent State University . She leads the Social, Health, and Risk Perception (SHRP) Psychology Lab , focusing on health behaviors, risk perception, and communication strategies. Education: Ph.D. (University of Utah, 2013), B.A. (American University, 2008) Postdoctoral Training: National Cancer Institute, Behavioral Research Program Courses Taught: Health Psychology, Social Psychology, Psychology of Risk Communication, Emotions, Culture & Health Her research examines why individuals avoid health risk information, how risk perceptions drive behavior, and interventions to reduce defensive responses to health threats. She applies social psychological theories to contexts like Covid-19 vaccination hesitancy , physical activity promotion , and interpretation of numeric risk data . Recent publications analyze trends in information avoidance , ambiguity aversion , and math cognition in health decision-making. Studies employ experimental designs, surveys, focus groups, and longitudinal analyses to address these themes. The SHRP lab’s interdisciplinary team conducts field experiments, develops educational interventions (e.g., number lines for risk communication ), and explores affective motives in health behavior. Their work bridges social psychology, public health, and behavioral science.

• Medical Image Analysis
• Computer Vision
• Machine Learning
• +۷ مورد دیگر

Tolga Tasdizen is a Professor in the Department of Electrical & Computer Engineering and an Adjunct Professor at the School of Computing, University of Utah. His research bridges computer vision, machine learning, and interdisciplinary applications in medical imaging, nuclear forensics, and urban health. Primary affiliation: Department of Electrical & Computer Engineering, University of Utah Secondary affiliation: School of Computing, University of Utah Research Interests Developing novel deep learning frameworks for histopathological image analysis and medical signal processing Applying computer vision to characterize built environments and examine public health outcomes Advancing nuclear forensic techniques through material morphology and machine learning Exploring biases in AI models for clinical and epidemiological applications Creating explainable AI workflows for medical diagnostics Analyzing urban infrastructure impacts on traffic safety and chronic disease prevalence Article Trends demonstrate expertise in: Medical imaging (histopathology, ECG analysis, chest X-rays) with applications in Alzheimer's disease and cancer diagnostics Urban health studies using Google Street View data to assess built environments' impacts on obesity, diabetes, and traffic injuries Nuclear forensics through SEM image analysis of uranium oxides and actinide materials Robust AI training techniques (contrastive learning, domain adaptation) for clinical and environmental datasets Collaborative Networks span radiology, cardiology, epidemiology, and nuclear engineering disciplines. His work often involves multi-institutional teams and emphasizes scalable data collection methods like eye-tracking and computer vision.

• Cognitive Psychology
• Instructional Psychology
• Educational Technology
• +۱۰ مورد دیگر

Dr. Christian Scharinger is an Associated Scientist and Principal Investigator at the Leibniz-Institut für Wissensmedien (IWM) in Tübingen, Germany, where he has been actively engaged in research since 2010. He is a member of the Multimodal Interaction Lab and leads a DFG-funded project on neurophysiological measures in instructional design. His research integrates cognitive psychology with educational technology, focusing on how digital learning environments affect cognitive processes. Christian Scharinger earned his M.A. in Linguistics, Informatics, and Media Sciences from the University of Trier and the University of Konstanz in 2007. He completed his doctoral thesis in Cognitive Science at the University of Tübingen in 2015. From February to September 2017, he served as a postdoctoral researcher at the University of Tübingen’s Chair of Applied Cognitive Psychology and Media Psychology. His research interests center on the cognitive and neurophysiological mechanisms underlying learning in digital environments. He employs advanced methodologies such as combined EEG and eye-tracking to investigate cognitive load, working memory, and the effects of multimedia elements like decorative pictures and virtual reality. He is particularly interested in how seductive details influence learning and how user-friendly digital interfaces can be designed based on neurocognitive data. The recent publications of Christian Scharinger reflect a strong trend in using neurophysiological indicators—especially EEG frequency band power and pupil dilation—to assess cognitive load across various learning contexts, including text reading, VR, and gamified tasks. His work bridges cognitive theory with practical applications in educational design, often evaluating the validity of multimedia learning principles through empirical neurocognitive data. Task-irrelevant decorative pictures increase cognitive load (2024) Effects of emotional decorative pictures on cognitive load (2023) Gamification of n-back tasks (2023) EEG and eye-tracking in text-picture learning (2020) Cross-subject cognitive load classification (2018) Christian Scharinger has been involved in multiple DFG and interdisciplinary research projects, including those on virtual reality, working memory load, and perception of historical sites. He has taught seminars at Hochschule Tuttlingen and Hochschule Fresenius Heidelberg, contributing to academic training in psychology and technology. He is also a member of the IWM postdoc network 'Cognitive Conflicts During Media Use', indicating active engagement in collaborative research. While no formal advisees are listed, his role as a PI and lab member suggests mentorship responsibilities. He has contributed to setting up and operating a combined EEG-eye-tracking laboratory at IWM, demonstrating technical leadership. His work spans both basic and applied research, with implications for instructional design, human-computer interaction, and educational technology. He regularly presents at major conferences such as EARLI, TeaP, and ETRA, and has organized symposia and workshops, reflecting strong academic leadership.

• Cognitive Science
• Human-Computer Interaction
• Neuroscience
• +۳ مورد دیگر

Benedikt Emanuel Wirth is a Researcher in the Cognitive Assistance Systems department at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken, Germany. His work focuses on integrating EEG and eye tracking in realistic visual scenes to study human attention and cognitive processes. Email: Benedikt_Emanuel.Wirth@dfki.de Location: Building D3 1, Stuhlsatzenhausweg 3, 66123 Saarbrücken Research Interests: His studies bridge neuroscience , computer vision , and artificial intelligence , aiming to decode human cognitive states in complex environments. Recent publications highlight applications in multimodal interaction and behavioral analysis . Scientific Contributions: The 2024 paper on fixation detection in realistic scenes represents a key focus area, exploring EEG signal processing , visual perception , and cognitive load modeling .

• Medical Imaging
• PET/CT Imaging
• Quantitative Image Analysis
• +۵ مورد دیگر

Drew A. Torigian is a Professor of Radiology at the Perelman School of Medicine, University of Pennsylvania, with extensive contributions to medical imaging research. His work focuses on developing advanced methodologies for PET/CT image analysis, disease quantification, and anatomical segmentation through innovative applications of deep learning and computer vision techniques. Dr. Torigian's research interests span multiple critical areas in medical imaging including quantitative image analysis, PET/CT applications, deep learning in medicine, radiation therapy planning, and anatomical segmentation. His work has significantly advanced the field of medical image analysis through the development of novel algorithms for disease quantification without explicit object delineation, standardized anatomic space frameworks, and attention-based neural networks for medical image interpretation. His recent publications demonstrate a strong trend toward integrating artificial intelligence with medical imaging, particularly in developing gaze-guided neural networks, geographical attention mechanisms, and hybrid transformer-convolutional architectures for improved medical image analysis. These works consistently address critical challenges in radiology including disease quantification, anatomical segmentation, and the development of clinically interpretable AI models. Dr. Torigian has received recognition through his substantial publication record in top-tier medical imaging venues including Medical Image Analysis, IEEE Transactions on Biomedical Engineering, and leading medical imaging conferences. His research has been consistently funded through various mechanisms supporting innovation in medical imaging technology. Through his mentorship and collaborative research, Dr. Torigian has contributed to advancing the field of medical imaging with practical applications in radiation therapy planning, disease quantification, and the development of standardized methodologies for image analysis. His work bridges the gap between computer science innovation and clinical radiology applications.

Michael P.H. Rodgersمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Vocabulary Acquisition
• Language Learning Through Television & Movies
• +۴ مورد دیگر

Michael P.H. Rodgers is an Associate Professor in the School of Linguistics and Language Studies at Carleton University, Canada. He concurrently serves as Director of the School and co-Editor-in-Chief of the Canadian Journal of Applied Linguistics. His academic journey includes a PhD in Applied Linguistics from Victoria University of Wellington (2013), a M.Sc. in TESOL from Temple University (2006), and a B.A. in Education from the University of Lethbridge (1992). His research focuses on two core areas: (1) language learning through media consumption (television, movies, video games), emphasizing vocabulary acquisition and comprehension processes, and (2) second language acquisition pedagogy, particularly in workplace and academic contexts. Notable contributions include studies on caption effects on TV comprehension, lexical coverage in media, and formulaic language instruction. Recent work explores multimodal input processing using eye-tracking methodologies, with publications in Studies in Second Language Acquisition and TESOL Quarterly . He actively supervises graduate research on topics like video game vocabulary, workplace pragmatics, and formulaic sequence acquisition. Current Grants: SSHRC Aid to Scholarly Journals (2022–2025) for Canadian Applied Linguistics Association support Key Affiliations: ACLA Executive Council member, TESL Canada Journal Review Board Teaching expertise spans EFL/ESL methodology, second language acquisition theories, and vocabulary pedagogy. His blended curriculum development focuses on supporting language learners in workplace and academic settings.

Ralph Haleمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Visual Perception
• Memory
• +۷ مورد دیگر

Ralph Hale serves as Associate Professor of Psychological Science at the University of North Georgia, where he has been a faculty member since 2018. He directs the Hale Vision Lab and teaches a range of courses including Cognitive Psychology, Sensation & Perception, and Research Methods. Dr. Hale is deeply committed to undergraduate education and research mentorship, with numerous teaching awards recognizing his excellence in the classroom. Education Background: Ph.D. in Psychology, University of Georgia (2018) M.S. in Psychology, University of Georgia (2015) B.S. in Psychology, University of Georgia (2011) A.A. in Psychology, Gainesville State College (2009) Interdisciplinary Certificate in University Teaching, University of Georgia Teaching Academy (2018) Dr. Hale's research centers on visual perception, memory, and empirical aesthetics, with particular focus on how global context and ecological validity affect visual phenomena. His work investigates visual illusions (especially the watercolor illusion), boundary extension, and other visual memory errors to understand everyday visual perception. He has published extensively on color vision, figure-ground organization, object recognition, visual search, and attention mechanisms, often employing eye-tracking and virtual reality methodologies to explore these phenomena in more ecologically valid contexts. Analysis of Dr. Hale's recent publications reveals a strong continuity in visual perception research with increasing methodological sophistication. His work has evolved from basic investigations of visual illusions to more complex explorations using virtual reality and eye-tracking technologies. Recent publications show growing interest in AI-generated content, mental imagery variability, and applications to clinical rehabilitation, while maintaining core focus on visual perception mechanisms. The research demonstrates consistent interest in ecological validity and real-world applications of visual perception principles. Scientific Recognition: Charles L. Darby Award for outstanding graduate teaching (2018) Richard L. Marsh Award for research mentoring (2018) Teaching Excellence Award for Tenure-Track Faculty (2020) Ann Matthews Purdy Outstanding Teaching Award (2023) Excellence in Undergraduate Research Award (2023) Dr. Hale is deeply committed to undergraduate research mentorship, with his students regularly presenting at national conferences and publishing in research journals. He has secured multiple competitive grants including Leap-into-Action grants from AAC&U for interdisciplinary research and Faculty Undergraduate Summer Engagement (FUSE) grants. As faculty advisor for Psi Chi and the Psychology Club, he actively supports student professional development through research opportunities and conference participation. Dr. Hale leads the Hale Vision Lab at UNG, where he and his undergraduate research team investigate visual perception phenomena using cutting-edge methodologies. The lab focuses on how contextual factors influence visual processing, with recent work incorporating virtual reality environments to enhance ecological validity. Through consistent funding and student involvement, the lab has established itself as a productive center for undergraduate research in visual cognition within the university system.

Mike Nichollsمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Laterality
• Spatial Attention
• +۱۲ مورد دیگر

Professor Mike Nicholls is a full-time faculty member at Flinders University, holding a Strategic Professorship in Psychology within the College of Education, Psychology and Social Work. He is Director of the Brain and Cognition Laboratory and currently serves as Dean of Research for his college. Previously, he was a professor at the University of Melbourne for 17 years. His educational background includes a BArchSt from the University of Adelaide (1985–1987), a BA (Hons) in Psychology from the University of Adelaide (1998), and a PhD in Experimental Psychology from King’s College, Cambridge (1990–1993), funded by a Cambridge Commonwealth Trust scholarship. Mike Nicholls’ research is centered on cognitive neuroscience, particularly the study of behavioral and perceptual asymmetries related to brain lateralization. His work investigates handedness, spatial attention in clinical and healthy populations, language, facial expression perception, and the role of eye movements. He explores how attention is controlled by the brain across sensory modalities and spatial dimensions. His recent publications reveal a strong focus on how social context influences perception, body image, facial judgments, and attentional processes, often employing neuroimaging and psychophysical methods. His 15 most recent articles (2023–1996) span topics including inattentional blindness, social modulation of visual perception, reinforcement learning in visual cortex, and attentional distortions in spatial cognition. These works reflect a consistent interest in the neural and cognitive underpinnings of lateralized behavior and attention, with applications in both healthy and clinical populations. Scientific Awards: Outstanding Academic Mentor Award, Australian Psychological Society (2020) Mike Nicholls has supervised numerous research students and PhD candidates, with advising interests in laterality, attention, and cognitive neuroscience. He has secured substantial research funding, including multiple ARC Discovery and Linkage Grants, with recent projects focusing on decision aids in complex environments, augmented reality for defense, and attentional asymmetries in navigation. He has also held editorial roles in journals such as Laterality and the Quarterly Journal of Experimental Psychology , and currently serves on the ARC's Medical Research Advisory Group. He leads the Brain and Cognition Laboratory at Flinders University, a research team dedicated to understanding cognitive processes and their neural representations, particularly in the context of brain asymmetry and attentional control.

Megan Freethمشاهده پروفایل

استاد

• Autism Spectrum Disorders
• Neurodevelopmental Psychology
• Social Attention
• +۵ مورد دیگر

Professor Megan Freeth serves as Professor of Neurodevelopmental Psychology and School Director of Research and Innovation at the University of Sheffield's School of Psychology. Her internationally recognized research focuses on improving the lives of autistic individuals through co-produced studies addressing healthcare access, employment barriers, and societal inclusion, while simultaneously investigating autism's expression in rare genetic syndromes using innovative eye-tracking methodologies. Her educational background includes: PhD in Psychology, University of Nottingham MSc in Psychology, University of Nottingham BSc in Psychology, University of Birmingham Professor Freeth's research program centers on three interconnected themes: Societal Barrier Reduction : Conducting co-produced qualitative research to understand and dismantle obstacles faced by autistic people in healthcare systems and employment contexts through interpretative phenomenological analysis. Genetic Syndrome Phenotyping : Leading groundbreaking studies on autism manifestations in Sotos syndrome, Russell-Silver syndrome, SOX11 syndrome, and 16p11.2 copy number variations to unravel autism's heterogeneity. Real-World Social Attention : Utilizing mobile and laboratory eye-tracking to examine how autistic and neurotypical individuals process social cues in naturalistic environments. Analysis of her recent publications (2022-2025) reveals a decisive shift toward participatory research methodologies where autistic individuals actively shape study design and implementation. Her work increasingly addresses systemic barriers in healthcare and employment while expanding genetic syndrome characterization through multimodal assessment. This dual focus on immediate quality-of-life improvements and fundamental neurodevelopmental mechanisms defines her impactful scholarly trajectory. Her scientific recognition includes: Leverhulme Early Career Fellowship (2011-2013) ESRC Post Doctoral Fellowship (2009-2010) Professor Freeth maintains an active supervisory portfolio with current PhD students Nazli Altin (primary), Aikaterini Giannadou, Louise Stokes, Jiayi Chen (co-supervision), and DClin student Rosie Wilson. Her research program is sustained by major funding including NIHR PDG (£148,622), NIHR RfPB (£249,883), and Colt Foundation (£80,953) grants focused on participatory systems mapping, post-diagnostic assessment, and employment barrier reduction respectively. She directs the Sheffield Autism Research Lab (ShARL) within the University's Neuroscience Institute, leading interdisciplinary teams comprising cognitive neuroscientists, clinical psychologists, and geneticists. Her research group's collaborative approach with autistic communities and healthcare providers ensures direct translation of findings into practice through the International Classification of Functioning framework.

Thomas Geyerمشاهده پروفایل

مدرس ارشد

• Behavioral Neuroscience
• Cognitive Neuroscience
• Biomedical Neuroscience
• +۶ مورد دیگر

Thomas Geyer is a Senior Lecturer in Experimental Psychology and Academic Director at LMU Munich's Department of Psychology , specializing in the interplay between cognitive and neurobiological mechanisms of statistical learning. His research focuses on how humans manage sensory overload through automatic learning processes that enhance object recognition and search efficiency. Primary Research Focus: Behavioral & Cognitive Neuroscience Secondary Focus: Biomedical Neuroscience Tertiary Focus: Theoretical Neuroscience & Technical Applications Geyer employs behavioral methods (reaction times, eye tracking) alongside neuroimaging (EEG, fMRI) to explore attentional capture, scene memory, and cross-modal interactions in visual search. His work bridges theoretical neuroscience with practical applications in human perception and memory systems. Selected Research Trends: Statistical learning in complex environments, neurobiological underpinnings of selective attention, and integration of multi-sensory contextual cues. Notable Contributions: Pioneering studies on cross-trial priming effects, N1pc polarity reversal mechanisms, and cross-modal attentional guidance through contextual memory. Collaborations with renowned researchers like Hermann J. Müller and Joseph Töllner highlight his impact in experimental psychology. Former Students: Dr. Efsun Annac Abhilash Dwarakanath Dr. Bernhard Schlagbauer Contact: geyer@lmu.de | Phone: +49 (0) 89 / 2180 5216

Carl-Philip Ahlbomمشاهده پروفایل

مدرس ارشد

• Consumer Behavior
• Retail Marketing
• Sensory Marketing
• +۹ مورد دیگر

Dr. Carl-Philip Ahlbom is a Senior Lecturer at the School of Management, University of Bath, specializing in Consumer Decision-Making within retail environments. His research examines how Store Atmospherics , Sensory Marketing , and Shopper-Facing Technologies shape shopping behavior, alongside pro-social marketing initiatives in Health Outcomes and Financial Literacy . He leads the MSc in Strategic Retailing program and contributes to field research via Field Experiments and Eye-Tracking Studies . University: University of Bath Role: Senior Lecturer (Associate Professor) Department: Management, Marketing, Business & Society Editorial Roles: Associate Editor (Journal of Business Research), Editorial Board Member (Journal of Retailing, Journal of Service Research, Journal of Marketing Education) His research aligns with Sustainable Development Goals (SDGs) related to poverty reduction and planetary health. Key trends in his recent publications include automation in retail, AI integration, and sensory marketing dynamics. He has been recognized for teaching innovation at both university and school levels and serves as an invited speaker at global conferences like the Journal of Retailing Webinar Series.