جست‌وجوی استاد و پژوهشگر

• Consumer Behavior
• E-commerce
• Marketing Strategy
• +۳ مورد دیگر

Marta Arce Urriza is a Post University Professor at the Public University of Navarra, specializing in Business Management within the Department of Business Management at the Institute for Advanced Research in Business and Economics (INARBE). Her research focuses on consumer behavior in online and offline channels, multichannel retail strategies, and the impact of emerging technologies like AI on marketing and consumer adoption. She has contributed to doctoral programs in Economics, Business, and Law at her university and collaborates with institutions like the Autonomous University of Barcelona. Education: Earned a Doctorate in Business Administration and Management from the Public University of Navarra in 2009. Participated in research stays at the University of Chicago and University of Groningen. Research Interests: Consumer adoption of new technologies (e.g., AI chatbots, 3D printing) Online review dynamics and their influence on consumer decisions Privacy concerns in virtual assistant interactions Strategic comparisons between private labels and national brands in multichannel environments Recent Article Trends: Focus on generative AI’s role in retail, privacy implications of voice assistants, and leveraging text mining for brand analysis. Articles span journals like Journal of Retailing and Consumer Services and Technology in Society . Grants & Collaborations: Lead or co-PI in projects such as 'Generative AI Solutions for Intelligent Storytelling' (2025–2027) and 'Interaction with Virtual Assistants' (2022–2025), funded by Navarra Government and the Spanish Ministry of Science. Active in editorial roles for journals like Journal of Interactive Marketing . Labs/Teams: Involved in interdisciplinary research teams focusing on AI ethics, consumer behavior analytics, and multichannel strategy. Supervised doctoral student Miriam Alzate Barricarte’s thesis on electronic word-of-mouth implications.

• Eye tracking
• Online teaching
• Human-computer interaction
• +۵ مورد دیگر

Marian Sauter is a researcher at Ulm University's Institute for Psychology in Germany, specializing in the intersection of psychology, human-computer interaction, and educational technology. Her work primarily focuses on eye-tracking methodologies and gaze analysis to improve online teaching and learning environments. She frequently collaborates with colleagues from the Institute of Media Informatics at Ulm University, indicating strong interdisciplinary connections between psychology and computer science departments. Her research interests center on understanding visual attention patterns in educational contexts, particularly how gaze behavior correlates with learning outcomes in digital environments. Dr. Sauter investigates how eye movement data can be visualized and utilized to optimize instructional design, with specific attention to gaze-laser pointer relationships, gaze synchronicity among students, and attention monitoring in virtual classrooms. Her work bridges cognitive psychology theories with practical applications for e-learning platforms and remote education systems. Analysis of her recent publications reveals a strong trajectory in applying eye-tracking technology to solve real-world educational challenges, particularly those emerging during and after the pandemic-driven shift to online learning. Her research spans both theoretical investigations of visual attention mechanisms and practical implementations for educational technology. The consistent focus on webcam-based eye-tracking demonstrates her commitment to developing accessible methods that don't require specialized hardware, making her research particularly relevant for widespread educational applications. Best Paper Award at ETRA '22 Symposium on Eye Tracking Research and Applications Berlin Health Award (2023) Dr. Sauter's collaborative approach is evident in her frequent co-authorship with Tobias Wagner from Ulm University's Institute of Media Informatics and Anke Huckauf from General Psychology. Her research appears to be supported by institutional resources at Ulm University, though specific external grants are not mentioned in the available information. She appears to be actively mentoring students given her involvement in educational psychology research and student-focused studies. Her work suggests involvement with research groups focused on human-computer interaction, educational technology, and cognitive psychology at Ulm University, though specific lab names are not provided in the available information. The interdisciplinary nature of her publications indicates collaboration across psychology and media informatics departments.

Crystal Fausettمشاهده پروفایل

استادیار

• Human-Centered Cybersecurity
• Human-Computer Interaction
• Research Methods
• +۶ مورد دیگر

Dr. Crystal Fausett is an Assistant Professor in the School of Information at San José State University. Her academic work bridges human factors, cybersecurity, and human-computer interaction, with a strong focus on how individuals and teams interact with technology in high-stakes environments such as healthcare, emergency services, and cyber operations. She teaches courses including ISDA 121 – Human Centered Cybersecurity and ISDA 130 – User Centered Interface Architecture and Prototyping, reflecting her interdisciplinary expertise. Ph.D. in Human Factors, Embry-Riddle Aeronautical University (2024) M.S. in Human Factors, Embry-Riddle Aeronautical University (2022) B.A. in Psychology, San José State University (2020) A.A. in Social and Behavioral Sciences, Santa Barbara City College (2018) Her research interests include human-centered cybersecurity, human-computer interaction, usability and UX design, teamwork and transactive memory systems, training methodologies (particularly simulation-based), and information behavior across diverse user groups such as healthcare providers, cyber defenders, and naval personnel. She applies both qualitative and quantitative methods, including expert interviews, board game simulations, and meta-analytic techniques. The recent publications highlight a strong trend in applying human factors principles to cybersecurity team performance, adaptive training, and healthcare safety. Her work increasingly explores innovative methods such as gamified simulations to study team dynamics and cognitive load in complex operational environments. There is a consistent emphasis on improving system efficiency, safety, and collaboration through human-centered design. Dr. Fausett has no listed scientific awards in the provided text. She has served as an Instructor of Record in Human Factors and Behavioral Neurobiology at Embry-Riddle Aeronautical University (2023–2024) prior to her current role. There is no mention of current grant funding or student advising in the provided materials. Her research often involves collaboration with experts in human factors and healthcare, particularly Dr. Joseph R. Keebler and Dr. E. Salas, suggesting active participation in research teams focused on team performance and safety-critical systems. She is involved in research labs or teams centered on human factors in cybersecurity and healthcare, particularly through collaborative projects involving simulation-based training and team cognition studies. Her use of board games like [d0x3d!] as experimental testbeds indicates innovative lab-based methodologies for studying real-world team interactions in controlled environments.

Jana Gonnermann-Müllerمشاهده پروفایل

پژوهشگر

• Human-Machine Interaction
• Educational Technology
• Cognitive Load Theory
• +۴ مورد دیگر

Jana Gonnermann-Müller is a research assistant at the Chair of Business Information Systems, Processes and Systems at the University of Potsdam . Holding an M.Sc. in Psychology from Humboldt University of Berlin, her work focuses on human-machine interaction, particularly examining learning, decision-making, and trust in technological collaborations. Degree: Master of Science (M.Sc.) in Psychology Alumni: Humboldt University of Berlin Current Role: Scientific Associate at University of Potsdam Research explores cognitive factors in augmented reality and AI assistance systems , employing experimental designs and eye tracking methodologies. Key projects include investigating visual guidance in AR, comparing AR display types, and developing frameworks for generative AI in education. Publications (2023-2025) demonstrate expertise in digital education , cognitive load optimization , and technology-enhanced learning . Collaborations span institutions like Hong Kong Polytechnic University , University of California, Davis , and Weizenbaum Institute , with corporate consulting on learning technology implementation. Technical focus areas include: Human-System Design Optimization Eye Tracking & Usability Studies AI Recommender Systems Industry 4.0 Implementation Research applications extend to: Secondary Education Technology Assembly Line AR Integration Change Management Systems Maintenance AR Visualization

Lars Dittmannمشاهده پروفایل

استاد

• Software-Defined Networking (SDN)
• Network Function Virtualization (NFV)
• 5G Networks
• +۶ مورد دیگر

Lars Dittmann is a Professor at the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), leading the Networks Technology and Service Platforms section. His work bridges advanced networking technologies with real-world applications in healthcare and transportation. Academic Role: Professor, Head of Section University: Technical University of Denmark (DTU) Department: Networks Technology and Service Platforms Research Interests: Professor Dittmann specializes in Software-Defined Networking (SDN) , 5G and IoT technologies , and energy-efficient network design , with a focus on applications in telemedicine and transportation systems . His work integrates machine learning for privacy-preserving traffic analysis and explores optical networks for high-bandwidth scenarios. Scientific Contributions: His recent publications emphasize green cellular networks using SDN/NFV/C-RAN, IoT benchmarking for coverage and mobility, and secure edge architectures for railways. Collaborative projects like the Future Patient telerehabilitation program highlight his interdisciplinary impact. Supervision: He supervises PhD candidates such as Radheshyam Singh, focusing on SDN-based IoT security and 5G network optimization. Labs & Projects: Leads initiatives like EXplorative network PLAnnINg and Broadband Trial Integration , addressing challenges in network reliability , emergency communication , and optical data center scaling .

• E-Learning
• Knowledge Management
• Digital Communities
• +۱ مورد دیگر

Marcus Birkenkrahe serves as an active Professor at the Berlin School of Economics and Law within the Faculty of Business Administration and Department of Business Informatics. His academic work bridges information technology with business management, focusing on practical applications in corporate and educational environments across Germany and Europe. His research spans E-Learning methodologies, Knowledge Management frameworks, Digital Community dynamics, and Leadership strategies. He pioneered virtual teaching systems and organizational learning tools, notably developing systemic constellations for change management and lean IT solutions for enterprise optimization. His work consistently explores technology-driven transformations in both academic and multinational business contexts. Publication analysis from 2000-2010 reveals dominant themes in knowledge management evolution within the new economy, organizational learning systems, and digital community governance. His research trajectory shows progression from theoretical foundations (2000-2001) toward practical applications in multinational corporations (2002-2004) and innovative educational models (2006-2010), with recurring emphasis on systemic approaches to complex organizational challenges. His distinguished awards include: Best article in the UA Business Review (2002) Fellow of the Royal Society of Arts (RSA) London (1998) Best campus-wide information site on the WWW (1994) Best online course offering on the WWW (1994) Professor Birkenkrahe has significantly advanced digital education infrastructure and knowledge-sharing platforms, though specific current advising roles and grant details aren't documented in available sources. His early 1990s web innovations established foundational models for online course delivery and campus information systems that received international recognition.

Corey Bradyمشاهده پروفایل

دانشیار

• Mathematics Education
• Computational Modeling
• STEAM Education
• +۵ مورد دیگر

Corey Brady is an Associate Professor at the Department of Teaching & Learning and Associate Dean for Research and Outreach at Southern Methodist University's Simmons School of Education and Human Development. He holds a Ph.D. in Mathematics Education from the University of Massachusetts, Dartmouth, alongside degrees in English Literature (MA) and Pure Mathematics (MS). Dr. Brady's research focuses on mathematical and computational modeling from a constructionist perspective, emphasizing collective learning and STEAM activity . His work includes design-based research on block-based programming environments and embodied participatory simulations. Recent publications (2023-2021) span journals like Frontiers in Education , Science Education , and Educational Studies in Mathematics , with sub-fields ranging from geometric transformations to disaster preparedness systems. He has received recognition including the Outstanding Paper Award at ICLS 2023 and Best Paper at ICLS 2020 . Previously, he held faculty roles at Vanderbilt and Northwestern Universities, led educational technology development at Texas Instruments, and taught at middle school to community college levels. His interdisciplinary approach bridges mathematics, computer science, and affective learning.

• Artificial Intelligence in Manufacturing
• Production Engineering
• Circular Economy in Manufacturing
• +۴ مورد دیگر

Dr. Amon Göppert serves as Professor and Chair of the Intelligence in Quality Sensing group at RWTH Aachen University's Laboratory for Machine Tools and Production Engineering (WZL). His work integrates artificial intelligence into manufacturing processes to enhance quality control, production efficiency, and sustainable practices. Göppert's research spans intelligent manufacturing systems with core expertise in AI-driven production engineering, circular economy applications, and advanced assembly systems. He investigates how machine learning optimizes production ramp-up, disassembly processes, and flexible manufacturing while developing sensor-based quality control solutions for industrial applications. His recent publications reveal strong trends toward AI implementation in production planning, with emphasis on worker assistance systems for disassembly, digital twin applications for real-time control, and mobile robotics in line-less assembly environments. Key focus areas include sustainable manufacturing, metrology innovation, and adaptive scheduling systems. Göppert leads multiple high-impact research initiatives: AI-driven Product Development: Machine learning for smart measurement strategies in metrology MetaVision Consortium: Industrial metaverse applications for AI-supported vision systems Generative AI for Non-Destructive Testing optimization Cluster of Excellence Internet of Production participation As Chief Engineer at WZL, he oversees technical implementation of research projects and collaborates with industry partners to translate innovations into practical manufacturing solutions, particularly in adaptive assembly systems and quality sensing technologies.

• Computer Science Education
• Learning Technologies
• Virtual Reality in Education
• +۵ مورد دیگر

Nadine Bergner is a Professor in the Teaching and Research Area of Learning Technologies (Informatik 9) at the Faculty of Computer Science, Dresden University of Technology (TU Dresden). Her work focuses on innovative approaches to computer science education across various educational levels, from primary schools to university settings. She leads research on learning technologies, VR applications in education, and teacher training in computer science. Prof. Bergner's research spans multiple dimensions of computer science education. She has developed and evaluated numerous educational approaches including VR serious games, physical computing with Arduino, and specialized learning environments like the InfoSphere student lab. Her work emphasizes making computer science accessible and engaging for diverse learners, including young children, senior citizens, and pre-service teachers. She has made significant contributions to understanding how students form mental models of computer science concepts and how these can be effectively developed through targeted educational interventions. Her recent publications reveal a strong focus on emerging technologies in education, particularly virtual reality applications for computer science learning. She has been exploring how different interaction modalities in VR affect learning outcomes, presence, and enjoyment. Another major thread in her recent work involves machine learning education, where she has developed concept inventories and game-based learning approaches to make complex ML concepts accessible to learners. She has also been actively researching how to integrate computer science and AI competencies into teacher education across various disciplines. Prof. Bergner has made substantial contributions to the development of educational materials and frameworks for computer science education. Her work includes creating resources for programming education ("Apps programmieren für Dummies Junior"), designing concept inventories for machine learning assessment, and developing comprehensive approaches to building computational thinking skills from early childhood through higher education. She has been instrumental in shaping computer science education policy through initiatives like the Dagstuhl Declaration on education in the digital networked world. Her research often involves collaborative projects with schools and teachers, focusing on practical implementation and evaluation of computer science education approaches. She has been particularly active in developing teacher training programs and materials to support the integration of digital competencies into school curricula. Her work with the InfoSphere student lab has provided valuable insights into how extracurricular learning environments can shape students' perceptions of computer science.

Tegwen Malikمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Biomimicry
• Water Management
• +۵ مورد دیگر

Dr. Tegwen Malik, a Senior Lecturer at Swansea University's School of Management and Senior Fellow of the Higher Education Academy (SFHEA), bridges artificial intelligence research with biomimetic innovations. Her multifaceted roles include Deputy Programme Director for MSc Management, Director of Education and Content at the i-Lab Research Centre, and leadership in the "Global and Social Challenges" theme. Senior Lecturer, School of Management (since 2022) Deputy Director, MSc Management Programme Director of Education, i-Lab Research Centre UKAT Recognised Practitioner in Advising Her research explores Artificial Intelligence applications across sectors, particularly in higher education, and biomimicry innovations for water management in arid regions. Collaborative work spans engineering (Welsh Centre for Printing and Coating), medicine, and management, with external partnerships at Lifescaped, MIT, and ESPCI. Recent publications analyze agentic AI systems , generative AI impacts , and bioinspired water collection mechanisms. The 2023 I3E Conference awarded her for transformative AI research in education. Best Research Paper Award, I3E 2023 Brazil Co-PI on international projects (Lifescaped, MIT, ESPCI) Supervisor for 4 active PhD students Editorial reviewer for Government Information Quarterly and Information & Organisation Dr. Malik also investigates digital marketing adoption , operations management , and international standards , with practical experience in product commercialization and transnational projects. Her teaching focuses on mathematics and analytics for business , reaching over 600 MSc Management students annually.

• Machine Learning
• Computer Vision
• Teleoperation
• +۳ مورد دیگر

Diego Fernandez Prado is a Researcher at the Chair of Media Technology, Technical University of Munich (TUM). He earned a B.Sc. in Physics from the University of Santiago de Compostela (2018) and an M.Sc. in Applied and Engineering Physics from TUM (2021). Since March 2021, he has pursued doctoral research in Robotics and Machine Intelligence. His research intersects Machine Learning , Computer Vision , and Teleoperation , with a focus on Reinforcement Learning for virtual fixture estimation Digital Twin environments Haptic data applications in bandwidth-limited systems Time-domain passivity control . Recent publications highlight his work in Robotics and Artificial Intelligence , particularly in teleoperation , virtual fixtures , and human-robot interaction . His articles analyze reinforcement learning integration, haptic codec optimization, and semantic segmentation for robotic tasks.

• Human-Computer Interaction
• Geographic Information Science
• Virtual Reality
• +۷ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction at the University of St. Gallen, where he leads a research group focused on developing novel user interfaces that empower individuals and communities with data-driven decision capabilities. His work bridges rapidly advancing technologies with human needs across diverse contexts including geographic information science, public health, medical applications, and extreme environments such as space missions. He publishes extensively at premier HCI venues including ACM CHI, MobileHCI, and DIS, as well as in interdisciplinary journals like NATURE and PLOS ONE. Professor Schöning's research interests center on understanding the interplay between technology and human activities through rigorous methods from AI, computer graphics, and cognitive psychology. His work emphasizes user-centered design methodologies and mixed methods approaches to create interfaces that fit both technological possibilities and human requirements. Key focus areas include virtual and augmented reality applications, accessibility solutions, navigation technologies, and the social implications of digital interfaces in everyday life. His research mission prioritizes theoretical and practice-based inquiry to develop disruptive solutions for real-world problems. Analysis of his recent publications reveals strong trends in virtual reality applications for emotional regulation and accessibility, with increasing emphasis on generative AI integration, environmental awareness, and space-related HCI challenges. His work consistently demonstrates interdisciplinary collaboration across computer science, psychology, geography, and medical fields, with publications showing growing interest in social implications of technology, particularly regarding navigation systems and their externalities. His scientific contributions have been recognized with numerous awards including: Best Presentation Award at IEEE VR 2023 Best Paper Award & Accessibility Award at Interact 2019 10 Year Impact Award 2021 Multiple Honorable Mention Awards at top conferences Professor Schöning actively mentors students across bachelor, master, and PhD levels, with his lab seeking candidates interested in the intersection of HCI, geoinformatics, and ubiquitous computing technologies. He emphasizes creating a 'detox-free academic environment' that focuses on meaningful teaching and research outcomes rather than academic pressures. His group frequently collaborates with international researchers and institutions on projects spanning medical applications, space exploration interfaces, and public health technologies. The research laboratory led by Professor Schöning maintains strong interdisciplinary connections across multiple domains. Current projects include developing AI-powered wearables for blind and low vision users, exploring VR applications for emotional regulation, investigating navigation technologies' social impacts, and creating interfaces for space mission contexts. The lab's work on CubeSat control software and plant visualization for space greenhouses demonstrates their unique focus on extreme environment applications, while their research on citizen participation through generative AI shows engagement with contemporary societal challenges.

Amber Dumfordمشاهده پروفایل

استاد

• Student Engagement
• Gender Issues in Higher Education
• Arts Education
• +۶ مورد دیگر

Dr. Amber Dumford is a Professor at the University of South Florida in the College of Education , specializing in Higher Education and College Student Affairs . She holds a Ph.D. in Higher Education (with a cognate in Sociology) from Pennsylvania State University , a M.P.A. from Indiana University Bloomington , and a B.S. in Mathematics from the same institution. Teaches courses in Student Affairs Assessment, College Teaching, and Globalization in Higher Education Currently serves on doctoral dissertation committees Active in research on student engagement, gender issues, and data quality in higher education Reviews for 20+ peer-reviewed journals and serves on editorial boards of top journals Consultant for National Center for Educational Statistics and institutions in US/Canada Research Interests include: Factors influencing student engagement and learning Gender disparities in higher education Arts and engineering education outcomes Creativity in academic settings Quantitative reasoning and assessment Data quality in educational research Food insecurity among diverse college students Publications reflect trends in student engagement , career readiness , data-driven educational practices , and equity in higher education . Her recent works focus on socioecological factors affecting food pantry usage and validity of survey instruments in measuring student behaviors. Service Contributions : Active member of university committees and councils Board member of Research in Higher Education and Journal of College Student Development Statistical modeling consultant for National Center for Educational Statistics Teaching Experience spans traditional mathematics instruction (2002-2014) to higher education seminars and globalization studies at USF. She plans to develop data analytics and institutional research courses.

Brach Postonمشاهده پروفایل

دانشیار

• Neuroscience
• Non-Invasive Brain Stimulation
• Motor Learning
• +۵ مورد دیگر

Brach Poston, Ph.D., is an Associate Professor in the Department of Kinesiology and Nutrition Sciences at the University of Nevada, Las Vegas. He holds a Ph.D. in Integrative Physiology from the University of Colorado-Boulder, a Master’s in Exercise Physiology from UNLV, and a Bachelor’s in Physical Education from Missouri State University. Certified by the National Strength and Conditioning Association, his work bridges clinical research with practical applications. Ph.D., Integrative Physiology - University of Colorado-Boulder M.S., Exercise Physiology - University of Nevada, Las Vegas B.S., Physical Education - Missouri State University Poston’s research focuses on non-invasive brain stimulation techniques (tDCS, TMS) for motor skill enhancement across populations including Parkinson’s patients, aging adults, and young athletes. His work examines strength training adaptations, muscle fatigue mechanisms, and cognitive-motor interactions in neurodegenerative conditions. Current projects explore neurostimulation’s role in dexterous motor tasks and fatigue resistance. Recent publications highlight tDCS applications for videogame-based motor training, cortical excitability dynamics, and neurocognitive processes in online radicalization. His studies combine electrophysiological measures with behavioral outcomes across multiple populations. NIH and Michael J. Fox Foundation grants support his Parkinson’s research. Postdoctoral research fellowship at the National Institutes of Health Editorial board member: Journal of Functional Morphology and Kinesiology Grant review panelist: NASA Human Performance

• Semiotics
• Digital Culture
• Continental Philosophy
• +۴ مورد دیگر

Professor Kristian Bankov holds a Doctor of Science (DSc) in Semiotics from New Bulgarian University (2023). He serves as Professor in the Southeast European Center for Semiotic Studies at NBU. Director of Southeast European Center for Semiotic Studies since 2007 General Secretary of International Association for Semiotic Studies (2014-2024) Vice-Rector for International Affairs and Public Relations at NBU (2011-2012) Chief Organizer of the annual Early Fall School of Semiotics since 2006 His research spans multiple dimensions of semiotics: Continental philosophy of language and Bergson's philosophy Sociosemiotics and identity studies Consumer society and digital culture Artificial intelligence and new media Semiotics of economic transactions Digital education and technological transformation Recent publications focus on digital culture, economic sign systems, and digital transformation with particular attention to: Digital semiosphere and platfospheres Monetary semiotics and digital currencies Social media analysis and consumer rituals Trust systems and digital experience economy Identity formation in post-truth environments Audiovisual translation in digital culture