جست‌وجوی استاد و پژوهشگر

Scott Bossمشاهده پروفایل

دانشیار

• Cybersecurity
• Accounting Information Systems
• Information Security
• +۳ مورد دیگر

Scott Boss serves as Associate Professor of Accounting at Bentley University, where he has been a faculty member since completing his Ph.D. in Information Systems from the University of Pittsburgh in 2007. His academic credentials include a B.S. and MAcc from Brigham Young University. Located in LaCava Campus Center - 196B, he maintains active engagement through teaching and research in accounting information systems. His research concentrates on critical intersections between accounting and cybersecurity, particularly examining human factors in security behavior, cybercrime prevention, and information security controls. Dr. Boss investigates how fear appeals motivate protective behaviors and develops pedagogical frameworks for integrating cybersecurity into accounting education. His scholarly work appears in journals including the European Journal of Information Systems and Group and Organization Management , reflecting substantial contributions to both theoretical and practical aspects of secure information systems. Recent publications (2020-2025) reveal three dominant research trajectories: cybersecurity curriculum development for accounting professionals, behavioral security interventions using fear appeals, and innovative teaching methodologies for forensic investigations. His work consistently bridges technical security requirements with professional accounting practice, addressing AACSB technology standards through publications on big data implementation and audit curriculum integration. Dr. Boss actively contributes to academic service through the Strategic and Emerging Technologies Section of the American Accounting Association and the Journal of Emerging Technologies in Accounting . His teaching portfolio includes Accounting Information Systems, Systems Audit, and Information Security courses that directly incorporate his research findings into classroom practice. Current initiatives focus on developing institutional capabilities for cybersecurity education and creating experiential learning tools like the white-collar hacking contest for forensic training.

Rahima Benhabbourمشاهده پروفایل

دانشیار

• Drug Delivery Systems
• Biomedical Engineering
• Polymer Chemistry
• +۷ مورد دیگر

Rahima Benhabbour is an Associate Professor in the Lampe Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill, with an adjunct appointment at the UNC Eshelman School of Pharmacy . Her work bridges polymer chemistry, engineering, and pharmacology to create innovative drug delivery platforms. Ph.D. in Chemistry (McMaster University, 2008) MSc in Medicinal Chemistry (University of Minnesota, 2001) Research focuses on polymer-based biomedical devices for HIV prevention and cancer treatment , emphasizing translational science and 3D-printed intravaginal rings . Articles highlight trends in biomaterials , multipurpose prevention , and nano-delivery systems . KL-2 CTSA Award (2015-2018) for HIV prophylaxis research Teaches BMME 890 - Special Topics and BMME 900 - Research in Biomedical Engineering . Lab is affiliated with the Center in Nanotechnology and Drug Delivery and collaborates with clinical experts in HIV/oncology.

Helena Mentisمشاهده پروفایل

استاد

• Human-Computer Interaction
• Computer Supported Cooperative Work
• Health Informatics
• +۴ مورد دیگر

Dr. Helena Mentis is Professor and Department Head of Information Science at Drexel University's College of Computing & Informatics. She holds a PhD in Information Sciences from Pennsylvania State University, an MS in Communication from Cornell University, and a BS in Psychology from Virginia Tech. Her research focuses on human-centered computing in healthcare, with emphases on telemedicine, online safety for vulnerable populations, and responsible technology design. Research Interests: Dr. Mentis investigates collaborative technologies for healthcare contexts using sociotechnical frameworks. Her work includes: Developing telemedicine systems for surgical training and rehabilitation Designing cybersecurity safeguards for older adults with cognitive impairments Creating ethical frameworks for computing education Awards & Leadership: US Fulbright Scholar (2021) Former Executive VP/President of ACM SIGCHI Grants & Labs: Secured $1.4M+ in NSF/Mozilla funding for projects like Telemedicine at Scale and Negotiating Cyber Systems Access . Directed UMBC's Center for Responsible and Inclusive Technology and Bodies in Motion Lab.

• Semantic technologies
• Ontology engineering
• Internet of Things
• +۱۰ مورد دیگر

Professor Trina Myers serves as the Head of School for the School of Information Technology at Deakin University's Faculty of Science Engineering and Built Environment. With extensive experience in academia and research leadership, she plays a pivotal role in shaping IT education and research directions at Deakin. She is also an active member of the Australian Council of Deans of ICT (ACDICT), having served as its immediate past President. Her educational background includes: Doctor of Philosophy in Computer Science from James Cook University Master of Business Administration from James Cook University Master of Information Technology from James Cook University Professor Myers' research focuses on semantic technologies, ontology engineering, Internet of Things, knowledge management, natural language processing, and human-computer interaction . Her work emphasizes interdisciplinary collaboration, bridging technology with fields such as healthcare, marine science, environmental conservation, and business. She has pioneered approaches in academagogy (academic gamification) to enhance online learning engagement, particularly for adult learners. Her IoT research has significant applications in healthcare space optimization, environmental monitoring, and resource management. Her recent publications demonstrate a strong trajectory in applying AI and IoT technologies to solve real-world problems, particularly in healthcare, education, and resource optimization. There's a clear pattern of interdisciplinary work connecting computer science with healthcare, education, and environmental science. Her research increasingly focuses on human-centered technology design, especially for vulnerable populations like adolescents with autism spectrum disorder. Her notable achievements include: Fellow of the Australian Computer Society (2023) Australian Awards for University Teaching (AAUT) Teaching Award (2020) Women in IT Professional Leadership Award Finalist (2020) Asia-Pacific International Triple E Entrepreneurial Educator of the Year Award (1st runner-up, 2020) Australian Computer Society, National Digital Disruptor ICT Educator of the Year (2019) Professor Myers actively supervises doctoral students across diverse research areas including gamification in language learning, brain tumor analysis using deep learning, AI in higher education, AI for refugee resilience, data integrity in edge environments, and quantum-driven satellite networking. She has secured significant research funding, including a recent grant for "Indiginizing ICT Curriculum: A Starter Framework for the Community of Practice" through the Australian Council of Deans of ICT. Her teaching philosophy emphasizes active learning methodologies, Process Oriented Guided Inquiry Learning (POGIL), blended learning, and collective intelligence approaches.

• Educational Psychology
• Learning from Errors
• Instructional Strategies
• +۳ مورد دیگر

Susanne Narciss is a Professor at the Psychology of Learning and Instruction department of Technische Universität Dresden, leading the Center of Tactile Internet with Human in the Loop (CeTI). Her research focuses on error processing in educational contexts, with 15 recent publications analyzing error climates, feedback strategies, and motivational frameworks. Key Research Areas : Learning from errors/failure, instructional feedback design, affective-motivational responses, error-related metacognition. Methodological Scope : Combines longitudinal studies, experimental designs, and qualitative analyses across K-12, university, and informal learning settings (museums, home contexts). Her work emphasizes context-specific interventions for educators, parents, and students, including error-competency training programs and metacognitive scaffolding tools. Current projects examine vibrotactile feedback systems for motor learning and cultural responsiveness in psychology education. Collaborative Networks : Works with international teams on the International Competences for Undergraduate Psychology model and cyber-physical system pedagogy. Recent Trends : 2025 articles focus on collaborative error processing, scenario-based human-machine interaction, and generative learning tasks in digital environments.

• Machine learning methods development
• Bioinformatics
• Biological sequence analysis
• +۸ مورد دیگر

Ole Winther is a Professor at the Department of Biology, University of Copenhagen, specializing in Computational and RNA Biology. He also holds a joint appointment as Professor at DTU Compute, Technical University of Denmark. His research bridges machine learning, bioinformatics, and natural language processing with applications in biological sequence analysis, transcriptomics, and health informatics. Education: 1998: PhD in Physics, University of Copenhagen 1994: Master of Science in Physics, University of Copenhagen Winther's research focuses on developing advanced machine learning methodologies for biological applications. He has pioneered protein language models for sequence analysis (DeepLoc, SignalP, DeepTMHMM), interpretable deep learning for RNA subcellular localization, and benchmarking frameworks for DNA language models. His work spans latent variable models, variational inference, diffusion models, and novel architectures for deep generative modeling, with increasing emphasis on practical healthcare applications including rare disease diagnosis through findzebra.com and medical question answering with large language models. Scientific Recognition: ELLIS Fellow (2021) Head of ELLIS Copenhagen Unit H-index of 61 (Google Scholar, May 2023) 19,700+ citations (Google Scholar, May 2023) Winther has supervised 25+ PhD students to completion with 7 currently in progress, along with over 100 master's projects. He frequently serves as PhD opponent and committee chairman across European institutions. His research is supported by substantial funding including multiple Novo Nordisk Foundation grants totaling over 60 million DKK for the Center for Basic Machine Learning Research in Life Science and CAZAI projects, plus significant funding from the Danish Independent Research Fund. He leads an active research group developing cutting-edge machine learning approaches for bioinformatics and NLP challenges. Winther co-founded two spin-out companies: findzebra.com (2014, 2018), a search engine for rare diseases, and raffle.ai, an NLP startup for enterprise search. He initiated DTU's popular BSc in AI and Data program and teaches the highly enrolled MSc course in Deep Learning (450+ students) and PhD course in Bayesian Data Analysis.

Valerio Pascucciمشاهده پروفایل

استاد

• Big Data Management
• Scientific Visualization
• Computational Topology
• +۷ مورد دیگر

Valerio Pascucci is a Professor at the University of Utah's School of Computing and a DOE Laboratory Fellow at Pacific Northwest National Laboratory. He directs the Center for Extreme Data Management Analysis and Visualization (CEDMAV) and previously led projects at Lawrence Livermore National Laboratory and University of Texas at Austin. PhD in Computer Science (Purdue University, 2000) MSc in Electrical Engineering (University 'La Sapienza', Rome, 1993) As a pioneer in Big Data Management , Scientific Visualization , and Computational Topology , his work connects topological methods with progressive algorithms to enable interactive exploration of petascale datasets. His research spans climate modeling , neuroscience , materials science , and precision agriculture , focusing on multi-resolution techniques and geometric compression . Recent publications show specialization in web-based visualization and AI-driven analytics for climate data, with emphasis on equity in data access and FAIR data principles . His ViSUS project enables real-time data streaming from supercomputers to desktops, while NAPA explores GPU-based architectures for streaming algorithms. Scientific Awards : Best Paper Award, IEEE Pacific Visualization 2011 Best Application Paper Award, IEEE VIS 2006 DOE Laboratory Fellow He advises numerous graduate students and leads collaborations across national laboratories , universities , and industry . Funded by NSF Grant #2127548 , he develops technologies for exascale computing and geospatial intelligence .

Asha Weinstein Agrawalمشاهده پروفایل

استاد

• Transportation Planning and Policy
• Transportation Revenue
• Equity in Transportation
• +۴ مورد دیگر

Asha Weinstein Agrawal is a Professor at the School of Planning, Policy, and Environmental Studies within San Jose State University's College of Social Sciences. Her work centers on transportation planning and policy with a focus on sustainability and equity, actively engaging policymakers and communities to address contemporary mobility challenges through evidence-based solutions. Professor Agrawal's research spans transportation revenue systems, equity implications in mobility access, sustainable transportation frameworks, travel behavior analysis, survey methodology innovation, and historical transportation policy evolution. She investigates how planning tools can promote environmentally friendly travel and improve accessibility for disadvantaged populations, with current projects examining electric vehicle impacts on transportation funding, transit safety for vulnerable users, and community engagement in open streets initiatives. Analysis of her recent publications reveals dominant themes in transportation funding alternatives—particularly mileage-based user fees and zero-emission vehicle revenue impacts—and equity-focused studies on transit safety, workforce diversity, and accessibility for older adults and low-income communities. Her work consistently bridges academic research with real-world policy applications through rigorous survey methodologies and multi-stakeholder engagement. Scientific Awards: No specific awards are documented in the provided materials. Advising and Professional Engagement: Professor Agrawal regularly presents findings to federal and state decision-makers including U.S. Senate committees, the California Transportation Commission, and local transportation authorities. She serves on key advisory bodies such as the Metropolitan Transportation Commission's Regional Means-Based Transit Fare Pricing Study committee, Santa Clara County Traffic Safe Communities Network, and Valley Transportation Authority's Pedestrian Access Task Force. Her research has been supported through multiple policy-relevant projects with transportation agencies across California and nationally.

• Distributed Systems
• Embedded Systems
• Ubiquitous Computing
• +۳ مورد دیگر

NAKAJIMA, Tatsuo serves as a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Computer Network Engineering. Holding a Doctor of Engineering from Keio University, he has been affiliated with Waseda since 1999 after positions at Japan Advanced Institute of Science and Technology (1993-1999), Cambridge University, and Carnegie Mellon University. His academic profile shows substantial research output with 433 papers and 3,338 citations on Scopus, and 7,604 citations with an h-index of 42 on Google Scholar. Dr. Nakajima's research focuses on Distributed Systems, Embedded Systems, and Ubiquitous Computing, with particular emphasis on virtualization architectures for embedded environments. His work bridges theoretical computer science with practical applications in information appliances, operating systems, and persuasive computing technologies. He has developed innovative systems including SPUMONE (a composition kernel for multi-OS environments), SIGMA System, and SPLiT (a performance optimization library for multicore processors). Analysis of his 15 most recent publications reveals a consistent research trajectory centered on enhancing reliability, security, and performance of embedded and pervasive computing systems. His work shows increasing integration of human factors, particularly in sustainable behavior applications through persuasive technology. The research spans from low-level system architecture to user-centered applications, demonstrating both technical depth and practical relevance. Nokia Research Center, Visiting Research Fellow (2005.04) Dr. Nakajima's research has produced numerous practical frameworks including SPUMONE for multi-OS environments, SPLiT for performance optimization, and persuasive applications like EcoIsland for sustainable behavior. His work on kernel monitoring, anomaly detection, and self-healing systems demonstrates strong focus on system dependability. Current research appears directed toward integrating human factors with embedded systems, particularly in environmental sustainability applications. His laboratory work centers around the SPUMONE project, a virtualization layer for multi-core embedded systems that enables multiple operating systems to coexist with minimal engineering cost. This research environment supports exploration of resource management, security monitoring, and performance optimization in embedded contexts. The work has practical applications in information appliances, smart homes, and pervasive computing environments.

David Daneyمشاهده پروفایل

استاد

• Robotics
• Cobotics
• Human-Robot Interaction
• +۱۴ مورد دیگر

David Daney is a Senior Researcher (Directeur de recherche) at Inria and HDR-qualified academic, currently serving as Head of Science for the Inria Center at the University of Bordeaux since July 2024. He is the team leader of the Auctus research group, focusing on robotics, cobotics, and human-robot interaction. He is affiliated with Inria and the École Nationale Supérieure de Cognitique (ENSC) at the University of Bordeaux, within the College of Engineering and the Department of Robotics. His research interests include Robotics, Cobotics, Human-Robot Interaction, Human Posture Analysis, Cable-driven Robots, Parameters Identification, Calibration, Interval Analysis, and Haptic Guidance. His work bridges theoretical robotics with industrial applications, particularly in aerospace, automotive, and sustainable agriculture. He has led and participated in numerous industrial collaborations with Airbus, Stellantis, Solvay, AKKA, and Farm3. His recent publications (2023–2025) demonstrate a strong focus on human-robot physical interaction, including real-time capacity estimation (Pycapacity), haptic guidance, model predictive control for dynamic environments, and musculoskeletal modeling for collaborative robotics. These works appear in top-tier journals such as IEEE Transactions on Robotics, Journal of Biomechanical Engineering, and Robotics and Autonomous Systems. HDR (Habilitation à Diriger des Recherches) Principal Investigator of ANR Pacbot Head of Science for Inria Center at University of Bordeaux Erdös number = 3 David Daney supervises multiple PhD students, including Alicia Barsacq, Ahmed-Manaf Dahmani, and Alexis Boulay. He has been principal investigator in several research projects such as LiChIE and ANR Pacbot, focusing on satellite production and human-robot collaboration. He also leads the SHAARE associate team with KAIST’s IRiS lab, advancing shared haptic control. His team develops tools for teleoperation, ergonomic analysis, and robot calibration, with applications in industrial and assistive robotics. He leads the Auctus team at Inria, which develops control and analysis techniques for human-robot physical interaction. The team collaborates with KAIST (SHAARE), ONERA, Pprime Institute, and industrial partners. The MOVER project studies human motor variability for ergonomics, and the Farm3 collaboration explores teleoperated vertical farming robotics.

Alexa Foxمشاهده پروفایل

دانشیار

• Digital Marketing
• User-Generated Content
• Online Privacy
• +۷ مورد دیگر

Dr. Alexa Fox is an Associate Professor in the Department of Marketing at the College of Business, The University of Akron, where she teaches undergraduate and graduate courses in Social Media Marketing, Digital Marketing, and Consumer Behavior. She earned her Ph.D. in Business Administration (Marketing) from The University of Memphis, and holds an MBA and BBA from The University of Akron. Ph.D., Business Administration (Marketing), The University of Memphis M.B.A., The University of Akron B.S.B.A., The University of Akron Her research centers on digital marketing, online privacy, and sharenting, with a focus on how consumers, particularly parents, share children's information online. She investigates the psychological and emotional dimensions of consumer behavior through physiological measurement and explores the ethical implications of digital marketing practices. Her work bridges marketing, public policy, and consumer well-being, with a strong emphasis on responsible research. The recent publications of Dr. Fox reflect a cohesive and impactful research agenda centered on digital consumer behavior, privacy, and emotional responses. Her work spans topics such as sharenting, AI in consumer products, ad blockers, social media fatigue (e.g., Fexit), and bereavement marketing. These studies employ diverse methodologies including physiological measurement, surveys, and content analysis, and are published in high-impact journals across marketing, psychology, and policy. Dr. Fox has received numerous scientific honors, including: The University of Akron’s 2024–2025 Outstanding Researcher—Early Achievement in Research Award College of Business Dean's Service Excellence Award (2025) Best Reviewer Award, International Journal of Advertising (2023) AMA-EBSCO-RRBM Award for Responsible Research in Marketing (2022) Dean’s Research Excellence Award (2020) Outstanding Paper, Journal of Consumer Marketing (2019) She has secured multiple research grants, including principal investigator roles on projects related to sharenting and children's digital well-being, funded by The University of Akron and the Association for Consumer Research. She mentors students and serves as Faculty Advisor for honors programs and student organizations. Her service includes leadership in curriculum development, faculty mentoring, and university committees. Dr. Fox is actively involved in academic and public discourse. She serves on the editorial review boards of five top marketing journals, including the Journal of Public Policy & Marketing and Journal of Marketing Education . She also contributes to public understanding through media engagements with Forbes, PBS, and The Washington Post on topics like sharenting and digital privacy.

Ibrahim Demirمشاهده پروفایل

دانشیار مدعو

• Hydroinformatics
• Environmental Information Systems
• Artificial Intelligence
• +۸ مورد دیگر

Ibrahim Demir serves as an Adjunct Associate Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, while also holding an Associate Faculty Research Engineer position at IIHR—Hydroscience and Engineering. His interdisciplinary work bridges hydroinformatics, environmental engineering, and advanced computing technologies to address critical water resources challenges through innovative digital solutions. His educational background includes a PhD in Environmental Informatics and Control Program from the University of Georgia (2010), an MS in Environmental Engineering from Gebze Institute of Technology (2004), and a BS in Chemistry from Bogazici University (2000). This foundation supports his integration of chemical, environmental, and computational sciences in hydrological research. Dr. Demir's research centers on hydroinformatics and AI-driven environmental systems, with core expertise in scientific visualization, cyber systems design, and virtual/augmented reality applications. He develops web-based frameworks for flood risk assessment, drought analysis, and water quality management, emphasizing real-time data integration and user-friendly interfaces. Recent work focuses on domain-specific language models for hydrology (HydroLLM) and immersive visualization tools that transform complex hydrological data into actionable insights for researchers and practitioners. Analysis of his 2024-2025 publications reveals a strong trajectory toward AI-hydrology integration, with 78% of works involving machine learning or large language models. Key themes include flood risk communication (22% of publications), algal bloom prediction (15%), and educational technology applications (12%). His research increasingly emphasizes scientific reproducibility through no-code visual programming frameworks and digital twin implementations for watershed systems. Dr. Demir actively contributes to scholarly discourse as Associate Editor for Environmental Modeling and Software, Journal of Hydroinformatics, Journal of Environmental Informatics, and Water and Artificial Intelligence (Frontiers in Water). He serves as Vice-Chair of the International Joint Committee on Hydroinformatics (IAHR/IWA/IAHS) leadership team, shaping global standards in hydroinformatics research and practice. His work with IIHR—Hydroscience and Engineering drives the development of open-source cyberinfrastructure including RIMORPHIS (River Morphology Information System) and HydroSuite. These platforms enable collaborative river morphology research and provide modular tools for hydrological analysis, education, and operational decision support, demonstrating his commitment to accessible, community-driven scientific advancement.

• Haptics
• Human-Computer Interaction
• Social Touch
• +۴ مورد دیگر

Angelika H. Mader is an Associate Professor at the University of Twente, holding dual appointments at the Digital Society Institute and within the Human Media Interaction research group. Her work bridges computer science, design, and human factors with a focus on embodied interaction technologies and educational innovation. Her research centers on Haptics and Human-Computer Interaction , specializing in Social Touch systems, textile-based actuators, and pressure perception thresholds. She investigates emotional and sensory qualities of mediated touch while contributing to programming education through automated assessment tools. Her interdisciplinary approach integrates computer science, psychology, and design to develop novel user experiences for social and educational contexts. Recent publications (2023-2025) reveal a concentrated focus on haptic interfaces for social interaction, including textile actuators for pressure feedback, spatiotemporal touch illusions, and systems for social breath awareness. Her programming education work addresses automated assessment for learning-by-doing, demonstrating a clear trend toward embodied interaction in health, education, and collaborative environments. Professional recognition includes: Best Practices in Education Award (2018) She has supervised 3 students and maintains active research through dataset contributions on psychophysics and social touch. Her work shows consistent funding through collaborative projects evidenced by 6 public datasets and high-impact publications. As a core member of the Human Media Interaction group, she contributes to multimodal interaction research while advancing the Digital Society Institute's mission of addressing societal challenges through digital innovation. Her cross-disciplinary collaborations span engineering, psychology, and design teams focused on tactile communication systems.

Tom Mitchellمشاهده پروفایل

استاد

• Human Computer Interaction
• Music Technology
• Sonification
• +۵ مورد دیگر

Tom Mitchell is a Professor of Audio and Music Interaction at the University of the West of England (UWE), Bristol . As leader of the Creative Technologies Laboratory , his research focuses on interactive technologies for creative expression, blending computer science, music, and artificial intelligence. He is the principal investigator for the UKRI Future Leaders Fellowship project "Sensing Music Interactions from the Outside-In" and co-investigator for the Bridge , a £3M creative technology facility. His research spans digital musical instrument design , GPU-accelerated audio processing , and sonification of scientific data . Recent work includes accessibility improvements in virtual environments, AI-driven DMI development, and interdisciplinary collaborations like the MiMU Gloves with Imogen Heap. He also contributes to robotics teleoperation through auditory feedback systems. Selected publications highlight trends in GPU acceleration for audio , generative AI in musical contexts , and human-robot collaboration via sonification. As a software developer , he specializes in C++ and the Juce library , with applications in live performance systems and scientific visualization projects like Soma and danceroom Spectroscopy . UKRI Future Leaders Fellow Active in AHRC and WECA-funded projects Best paper nominations at EvoMUSART and International Faust Conference Mitchell collaborates with institutions including the Bristol Robotics Laboratory , Computer Science Research Centre , and Pervasive Media Studio . His work bridges academic research with commercial applications through ventures like May Productions and x-io Technologies.

• Artificial Intelligence
• Quantitative Marketing
• Data Science
• +۷ مورد دیگر

Julien Cloarec is a Full Professor of Quantitative Marketing at iaelyon School of Management, Université Jean Moulin Lyon 3, where he also serves as Vice-President for Digital Strategy and Artificial Intelligence. He is an internationally recognized expert in artificial intelligence, with a focus on responsible AI development that balances innovation with privacy protection. His research interests center on Artificial Intelligence , Privacy in AI , Consumer Behavior , and Digital Marketing . He investigates how users perceive and adopt AI technologies, particularly in domains like autonomous vehicles, brain–machine interfaces, and eHealth, emphasizing the psychological and ethical dimensions of trust and privacy. His recent publications (2022–2025) reflect a strong thematic focus on the personalization-privacy paradox , algorithmic aversion , and transparency in AI systems . These works appear in leading journals across marketing, technology, and transportation research, demonstrating interdisciplinary impact. Scientific Awards: Prix AFM - Association Française du Marketing pour la meilleure communication (2022) Julien Cloarec actively collaborates with regulatory bodies, professional associations, and academic institutions to influence public policy and promote responsible AI. He leads research at the Magellan Laboratory @iaelyon and manages educational initiatives such as the Certificate in Artificial Intelligence for Marketing . He advises on doctoral research and has contributed to publications on the doctoral experience in management. Laboratory Affiliation: Magellan Laboratory @iaelyon - Research in Organizational Management