جست‌وجوی استاد و پژوهشگر

• Virtual Reality
• Human-Computer Interaction
• Psychology of Interactive Systems
• +۵ مورد دیگر

Prof. Dr. Carolin Wienrich is a Professor of Psychology of Intelligent Interactive Systems at Julius-Maximilians-University Würzburg, Faculty of Human Sciences, and Co-director of XR HUB Würzburg since 2020. Her work bridges psychology, virtual reality, and human-computer interaction to understand human experiences in digital environments. Her educational background includes: 2010: Psychology Degree from Martin Luther University Halle/Wittenberg 2015: Interdisciplinary PhD from TU Berlin | Faculty of Traffic and Machine Systems Prof. Wienrich's research explores psychological aspects of presence, embodiment, and social interaction in XR systems. She investigates how device characteristics affect user experience, with applications ranging from workplace collaboration to therapeutic interventions. Her systematic review on psychological ownership of virtual objects has provided foundational insights into how users form emotional connections with digital assets. She has made significant contributions to understanding avatar embodiment effects on body image and self-esteem, as well as the impact of immersion levels on social presence and task performance. Analysis of her recent publications reveals several key research trends: Investigating cross-device collaboration and asymmetric interaction in virtual environments Exploring psychological ownership of virtual objects and environments Developing VR applications for therapeutic interventions in mental health Studying human-AI interaction dynamics in spatial computing environments Examining privacy, safety, and harassment issues in social VR Developing training approaches to improve user competence with intelligent systems Her notable awards include: 2020 Research Prize of the Faculty of Human Sciences (JMU Würzburg) 2019 Prize for Good Teaching Bavaria (Free State of Bavaria) 2018 Best Impact German Institute for Virtual Reality Best Poster award at IEEE VRW 2025 IDEATExR Best Paper award at IEEE VRW 2025 Prof. Wienrich actively engages with policy makers and the public, having presented to the Federal Commissioner for Data Protection and Information Security, participated in discussions at the German Ethics Council, and demonstrated her research to members of the German parliament. Her presentations cover critical topics such as the psychological consequences of the metaverse and human-centered AI interaction in virtual environments. As Co-director of XR HUB Würzburg, she leads an interdisciplinary initiative that connects researchers across psychology, computer science, and medicine to advance XR technologies and applications. The hub serves as a central platform for academic research, industry collaboration, and public engagement with extended reality technologies.

Clara Siboni Lundمشاهده پروفایل

استادیار

• Public Administration
• Leadership Studies
• Distributed Leadership
• +۴ مورد دیگر

Clara Siboni Lund is an Assistant Professor at the Department of Political Science, Aarhus University, specializing in leadership dynamics within public organizations. Her research focuses on distributed leadership, professional development, and employee engagement in the public sector. Her work explores how inclusive leadership strategies can enhance organizational resilience and governance quality. Key themes include the intersection of political science and administrative leadership, with a focus on practical applications in turbulent times. Distributed Leadership Professional Development Public Sector Management Employee Engagement Organizational Behavior Her recent publications analyze the motivational mechanisms of leadership, the role of employee characteristics in leadership behavior, and the validation of leadership scales. She received the Peter Leisink Best Young Researcher Paper 2022 award for her contributions. King Frederiks Center for Public Leadership Research Project (2018–2023) Lund's research has been published in journals such as Public Administration , Administration & Society , and Public Personnel Management .

Soyeon Ahnمشاهده پروفایل

استاد

• Health Communication
• Educational Assessment
• Psychometrics
• +۳ مورد دیگر

Soyeon Ahn is a full-time Professor in the Department of Education and Psychological Studies at the University of Miami's School of Education and Human Development. Her academic profile demonstrates active research leadership in health communication, educational assessment, and psychometrics, with recent publications spanning 2024-2025. Contact details include email s.ahn@miami.edu, phone (305)284-2929, and ORCiD 0000-0003-2581-306X. Research interests focus on Health Belief Model applications in social media health campaigns, fairness evaluation of high-stakes educational exams, and eHealth interventions for obesity management. She investigates how content creator characteristics (e.g., race, occupation) affect user engagement with health messages, examines psychometric validation of assessment tools via Rasch modeling, and explores generative AI's pedagogical impact. Her work integrates intersectionality frameworks to address health disparities in clinical settings. Recent publications reveal strong interdisciplinary trends connecting public health, education, and technology. Key themes include methodological rigor in meta-analyses of occupational cancer studies, social media's role in vaccine behavior change, and AI literacy training for educators. Her findings consistently emphasize practical implications: optimizing health messaging through HBM constructs, addressing test bias in educational equity, and leveraging technology for behavior intervention. The 2024-2025 output shows increasing focus on real-world application of measurement theory.

• Natural Language Processing
• Computational Linguistics
• Language Models
• +۳ مورد دیگر

Kentaro Inui is a distinguished researcher at Tohoku University , specializing in Natural Language Processing , Computational Linguistics , and Machine Learning . His work focuses on advancing language model behavior through rigorous empirical analysis, including mechanisms for detokenization , entity identification , and numerical reasoning . Inui has pioneered methods to rectify spurious beliefs in LLMs via unlearning techniques and explored the dynamics of reasoning strategies in neural models. His research addresses chat translation quality through metrics like MQM-Chat and investigates repetition neurons responsible for text generation patterns. Inui also contributes to argumentation analysis with annotation frameworks like LPAttack and develops resources such as COPA-SSE for commonsense reasoning. His work on universal graph-based relation extraction and cross-stitching architectures has established new benchmarks in NLP task performance. Inui's publications span top-tier conferences including ACL , EMNLP , and LREC , often involving collaborations with researchers like Benjamin Heinzerling and Jun Suzuki. His methodological innovations in semi-structured explanation generation , position embedding (e.g., SHAPE), and zero pronoun resolution demonstrate his focus on both theoretical and practical NLP challenges. While no direct awards or student mentorship data appear in the provided corpus, his extensive publication record (over 20 papers between 2021-2025) underscores significant contributions to NLP education tools , knowledge base integration , and dialogue system consistency . Current projects like ReCall mechanisms and numerical property encoding directions highlight his ongoing impact on model interpretability and reasoning accuracy.

Joseph Renzulliمشاهده پروفایل

استاد

• Educational Psychology
• Gifted Education
• Creativity
• +۳ مورد دیگر

Joseph Renzulli is the University of Connecticut Board of Trustees Distinguished Professor of Educational Psychology at the Neag School of Education. He is a global leader in gifted education, recognized by the American Psychological Association as one of the 25 most influential psychologists. His pioneering work includes the Three-Ring Conception of Giftedness, Enrichment Triad Model, and curriculum compacting. He has secured over $50 million in grants and co-founded the Confratute Program and UConn Mentor Connection. Educational Background: BA, Rowan University M.Ed., Rutgers University Ed.D., University of Virginia Research Interests: His work focuses on creativity, talent development, and equitable access to gifted programs. He advocates for 'Enrichment-Based Differentiation' to engage all students, particularly marginalized populations. Recent initiatives include an AI-driven personalized learning platform and the Hartford Gifted and Talented Academy. Awards & Recognition: 2009 Harold W. McGraw, Jr. Prize in Education Consultant to the White House Task Force on Gifted Education Named among APA's Top 25 Psychologists Advising & Impact: Mentor Connection program connects >35,000 teachers worldwide Authored 500+ publications (many translated internationally) Developed assessment tools like the Scales for Rating Behavioral Characteristics of Superior Students Labs/Initiatives: Joseph S. Renzulli Gifted and Talented Academy (Hartford) Schoolwide Enrichment Model (SEM) global implementation Technology-based learning profiles matching student strengths to resources

Miguel Machullaمشاهده پروفایل

پژوهشگر

• Music Psychology
• Gender Studies
• Queer Studies
• +۳ مورد دیگر

Miguel Machulla is a Researcher at the Department of Journalism and Communication Research, Hanover University of Music, Drama and Media. His academic background includes a Master's in Biology, Music, and Education from Ruhr University Bochum and Technical University Dortmund. He has held research positions at TU Dortmund, University of Cologne, and currently contributes to the BMBF-funded project Degree 5.0 focused on digital teacher education. Research Interests: Machulla's work bridges music psychology, gender/queer studies, and media interactions. He investigates how music shapes intergroup dynamics, supports LGBTQ+ identity formation, and enhances educational methodologies. Key themes include queer music analysis, media's role in environmental advocacy, and video-based reflective practices in pedagogy. Publications: His recent articles and conference papers (2023-2025) demonstrate empirical rigor in studying music's sociocultural impact, particularly through quantitative analysis of queer music characteristics, music functions in identity development, and innovative task designs for music education. Methodologically, he employs structural equation modeling, discourse analysis, and cross-cultural comparisons. Affiliations: Active member of the German Society for Music Psychology (DGM), Society for Music Research (GfM), and Research Hub at Hanover University. Associated with the Cologne Systematic Musicology Lab and BMBF project Degree 5.0 .

• Ergonomics
• Cognitive Psychology
• Social Psychology
• +۸ مورد دیگر

Edith Galy is a University Professor at Université Côte d'Azur, affiliated with the School of Research in Health Sciences and the Department of Psychology. She directs the Laboratory of Anthropology and Clinical, Cognitive and Social Psychology (LAPCOS) and coordinates the RPS unit. Her research spans ergonomics, cognitive and social psychology, focusing on mental workload modeling, quality of life at work, and the impact of sound environments in open offices. Director, LAPCOS Research Laboratory (2023–present) Coordinator, RPS Unit (2021–present) Director, Psychology Department (2021–2023) Co-director, Master’s in Cognitive Ergonomics of Digital Technologies (2018–present) Her research explores the interplay between individual characteristics (physiological, cognitive, affective, social) and situational factors (task design, work organization, acoustic environment) through the ICA (Individu–Charge mentale–Activité) transactional model. She developed a validated scale to assess mental workload across four dimensions: intrinsic, extrinsic, essential load, and available resources. Recent projects include FABO (ANR-funded, 2020–2024), analyzing fatigue dynamics in open offices from a multidisciplinary perspective (acoustics, psychoacoustics, ergonomics), and studies on alcohol’s biphasic effects on young drivers’ behavior (funded by Road Safety Foundation and Ministerial Delegation for Road Safety). Collaborations include INRS (Nancy), INSA Lyon’s Vibrations and Acoustics Laboratory, IFSTTAR (Gustave Eiffel University), and partnerships with researchers like Patrick Chevret and Catherine Berthelon. Grants from ANSES (2017–2019) and ANR (2020–2024) support her work, including postdoctoral and doctoral contracts (e.g., Jean-Noël Amato, Krist Kostallari).

• Developmental Coordination Disorder
• Pediatric Motor Development
• Neurodevelopmental Disorders
• +۴ مورد دیگر

Dr. Jorge Lopes Cavalcante Neto serves as a Visiting Professor at the School of Human Movement and Nutrition Sciences, University of Queensland. His research focuses on developmental coordination disorder (DCD), neurodevelopmental conditions, and pediatric motor development across diverse settings including Brazil and international contexts. Research interests span multiple critical areas in child health and development: Motor skill assessment and intervention strategies for children with DCD Physical activity impacts on cardiometabolic health in autism spectrum disorders Sensory processing characteristics in developmental disorders Adaptation of fitness assessment tools for low-resource settings Pandemic-related mental health and lifestyle impacts on healthcare professionals Analysis of his 45+ journal publications (2014-2025) reveals strong emphasis on systematic reviews (65% of recent output) examining physical activity interventions, motor control assessment, and health outcomes in neurodevelopmental populations. His work demonstrates methodological diversity including randomized controlled trials, cohort studies, and cross-cultural validation of assessment tools, with particular focus on Brazilian pediatric populations. Scientific contributions include: Development of culturally appropriate motor assessment protocols Evidence synthesis for aquatic and video game-based interventions Identification of cardiometabolic risk factors in autism spectrum disorders Documentation of pandemic impacts on healthcare worker wellbeing His collaborative research network spans 12+ countries with consistent partnerships at University of Queensland, Federal University of São Carlos (Brazil), and international rehabilitation centers. Current work prioritizes translating motor assessment tools for resource-limited settings and examining long-term health outcomes in DCD populations.

Petri Niemiمشاهده پروفایل

پژوهشگر

• Supply Chain Management
• Operations Management
• Logistics
• +۴ مورد دیگر

Petri Niemi is a Researcher at LUT University within the School of Engineering Sciences , specifically affiliated with the Industrial Engineering and Management (IEM) department. His work spans interdisciplinary domains, linking engineering with business practices. Current research focuses on soil science and agricultural management, particularly analyzing soil pore structure, microbial interactions, and long-term agricultural impacts. His earlier contributions center on supply chain management, logistics optimization, and educational pedagogy, including experiential learning frameworks and student guidance systems. Research Trends: Recent publications highlight sustainable soil management and pore dynamics, while earlier works emphasize knowledge development in supply chains and logistical service innovation. His expertise bridges quantitative analysis, organizational behavior, and user-centric design. Education & Practice: While formal educational details are not public, his pedagogical involvement includes student guidance and curriculum development for secondary and higher education programs.

• Big Data
• Artificial Intelligence
• Digital Law
• +۵ مورد دیگر

Eleonora Igorevna Leskina is an Associate Professor and Leading Researcher at the Faculty of Law, Department of Digital and Biolaw at the National Research University Higher School of Economics (HSE) in Moscow, where she has been employed since 2024. Previously, she served as an Associate Professor at Saratov State Law Academy in the Department of Information Law and Digital Technologies (2020-2024) and the Department of Labor Law (2017-2020). She holds a Candidate of Law degree from Saratov State Law Academy (2012) with a dissertation on "Axiological aspects in civil procedural law" and a Jurisprudence degree from Saratov State Academy of Law (2009). Dr. Leskina's research focuses on the intersection of law and emerging technologies, with particular expertise in Big Data regulation, artificial intelligence legal frameworks, personal data protection, blockchain applications, and digital labor relations. Her work addresses critical challenges in data governance, including synthetic data usage, sustainable data turnover, and the legal implications of metaverse environments. She has made significant contributions to understanding the legal regimes of data in various contexts, from healthcare to environmental protection. Her scholarly output demonstrates a consistent focus on contemporary digital law challenges, with numerous publications in leading Russian legal journals and edited volumes. Recent work examines the legal support for synthetic data in AI development, characteristics of Big Data legal regimes, and sustainable data turnover frameworks. Her research shows a clear trajectory toward addressing the most pressing regulatory questions emerging from technological advancement, particularly in the Russian legal context. Gratitude from the Ministry of Justice of the Russian Federation (2023) for effective assistance in solving tasks assigned to the Ministry of Justice, contribution to legal science and education, and training of highly qualified legal personnel Dr. Leskina actively participates in national and international academic discourse, regularly presenting at major conferences including the International Scientific and Practical Conference "Legal Regulation in the Era of Artificial Intelligence" in Samarkand (2025), where she presented on synthetic data for AI development. She has also participated in the Moscow Innovative Legal Forum, conferences at Lomonosov Moscow State University, and the State Duma roundtable on court fees. Her work bridges academic research with practical policy development in the rapidly evolving field of digital law.

David Melamedمشاهده پروفایل

استاد

• Group Processes
• Social Networks
• Computational Modeling
• +۲ مورد دیگر

David Melamed is a Professor of Sociology and core faculty at the Translational Data Analytics Institute at The Ohio State University. His research focuses on how social structures—such as network, status, and class hierarchies—shape individual outcomes. Key areas include prosocial behaviors in networks, small-group inequalities, and macro-level class structures. His work is supported by grants from the Army Research Office and National Science Foundation (NSF). Research interests span group processes, computational modeling, and stratification. Recent studies explore gender status beliefs, cooperative networks preventing political segregation, and methodological advances in regression analysis. He has authored books, including *Regression Inside Out* and *Applications of Regression for Categorical Outcomes Using R*, and co-edited *Sociological Methodology* (2020–2024). His interdisciplinary approach bridges sociology, data analytics, and computational methods. Grants and collaborations highlight his NSF-funded projects on reward stability and group cooperation, as well as Army Research Office support for network dynamics research. Methodological contributions include the *catregs* R package for categorical outcome modeling and dual-projection approaches for community structure analysis in networks. Labs/Teams: Active in the Translational Data Analytics Institute, focusing on interdisciplinary data-driven research. His work often integrates social theory with computational tools, emphasizing practical applications in sociology and policy.

Yiqiong Liمشاهده پروفایل

دانشیار

• Workplace Bullying Prevention
• Organizational Behavior
• Human Resource Management
• +۷ مورد دیگر

Associate Professor Yiqiong Li is affiliated with the School of Business at the University of Queensland. Her research focuses on workplace bullying prevention, organizational climate, leadership, job design, and employee well-being. She collaborates closely with organizations, unions, and safety bodies to translate research into actionable strategies for improving workplace health and safety, particularly in healthcare, hospitality, and education sectors. Yiqiong’s work emphasizes the impact of organizational and job factors on employee well-being, advocating for systemic changes to prevent bullying and enhance overall employee health. Her research has informed practical resources and workplace practices promoting systemic improvements. Notable collaborations include partnerships with peak health and safety organizations. Her publications span organizational behavior, HRM, and workplace psychology, with a focus on bullying prevention, leadership dynamics, and job redesign. Recent articles address topics such as customer aggression, mindfulness in the workplace, and green HRM strategies. Awards and grants are not explicitly detailed in the provided text, but her research has driven impactful policy and practice changes in workplaces globally.

Martim Brandãoمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Responsible AI
• +۱۲ مورد دیگر

Martim Brandão is a Lecturer (Assistant Professor) in Robotics and Autonomous Systems at King’s College London, where he leads the Responsible Robotics and AI (RRAI) Lab and serves as Co-Director of the UKRI Centre for Doctoral Training in Safe and Trusted AI. His research focuses on ethical, explainable, and safe AI and robotics, with applications in human-robot interaction, motion planning, fairness, and societal impact. His research interests include: Explainable AI and Motion Planning Fairness and Bias in AI Systems Human-Robot Interaction and Social Robotics Adversarial Robustness in Robotics Value Alignment and Ethical AI Inclusive and Participatory Robotics Design His recent publications (2023–2025) reflect a strong trend toward socially responsible robotics, focusing on fairness in navigation, explainability of planning failures, worker-centered agricultural robotics, environmental justice in drone delivery, and the dangers of bias in drowsiness detection and LLM-driven robots. His work emphasizes user understanding, societal impact, and ethical safeguards in autonomous systems. He has advised and collaborated with numerous students and researchers across diverse topics in robotics and AI. He is actively involved in shaping responsible robotics through: Leadership in the RRAI Lab Co-directing a national CDT in Safe and Trusted AI Developing fairness-aware algorithms Advocating for inclusive and ethical design practices His lab and research group focus on: Responsible Robotics and AI Explainability in Multi-Agent Planning Fairness in Coverage and Navigation Human-Centered Evaluation of AI Systems

• Smart Industry
• Industry 4.0
• Human Resource Management (HRM)
• +۵ مورد دیگر

Milou Habraken is a Researcher in the Department of Communication Science at the University of Twente . Her research focuses on the intersection of Industry 4.0 , Human Resource Management (HRM) , and Work Design , particularly examining how collaborative robots (cobots) and digital transformation reshape workplace dynamics. Key Research Areas: Smart Industry, Occupational Safety and Health, Human-Robot Collaboration, Digital Workspaces Recent Publications: Her 2023 reports with CEPS analyze policy implementations for smart industry in Belgium, while her 2022 work with ILO provides methodological frameworks for occupational safety metrics. Earlier studies (2016-2020) explore job design evolution, HRM adaptation, and critical analyses of Industry 4.0 hype versus practical realities. Awards & Grants: No explicit scientific awards mentioned, though her research has been supported by institutions like the International Labour Organization (ILO) and Centre for European Policy Studies (CEPS).

Benedikt Bergerمشاهده پروفایل

استاد

• Digital Transformation
• Generative AI
• Business Information Systems
• +۲ مورد دیگر

Benedikt Berger is Professor of Digital Transformation and Society at the University of Münster's School of Business and Economics, Department of Information Systems. He leads research on generative AI implementation impacts and digital business transformation, with ongoing projects funded by industry partners including BASF Coatings GmbH. His research examines AI integration in organizational contexts, voice commerce systems, and human-AI collaboration frameworks. Key projects investigate generative AI's effects on workplace structures and employee experience in industrial settings. Honors include the 2024 Best Paper Award from The Data Base for Advances in Information Systems and 2022 Best Associate Editor recognition from ECIS. He supervises graduate research on topics including robotic process automation implementation.