جست‌وجوی استاد و پژوهشگر

Daniel Laumannمشاهده پروفایل

پژوهشگر

• Physics Education
• Science Education
• Educational Technology
• +۴ مورد دیگر

Dr. Daniel Laumann is a faculty member at the University of Münster, affiliated with the Department of Physics within the Faculty of Mathematics and Natural Sciences. His primary research focuses on physics education innovation, particularly the integration of digital tools and technologies into teaching. He has actively contributed to advancing methodologies such as augmented reality (AR) and mixed reality (MR) in laboratory settings, mobile learning strategies, and interdisciplinary approaches combining physics with art. His work emphasizes enhancing student engagement through interactive simulations, BYOD (Bring Your Own Device) initiatives, and conceptual understanding in magnetism and optics. Dr. Laumann has published extensively in journals like Physics Education , Journal of Science Education and Technology , and Frontiers in Education , reflecting his commitment to evidence-based pedagogy. He collaborates widely with colleagues in physics education, psychology, and engineering to design effective learning environments. Education: While specific academic degrees aren’t listed in the text, his title 'Dr.' indicates a PhD in Physics or a related field. Research Interests: His work spans educational technology (e.g., AR for polarization experiments), mobile device integration in STEM education, and cognitive aspects of learning (e.g., empathizing/systemizing traits in students). He also explores interdisciplinary projects linking physics principles with artistic light installations, aiming to broaden public engagement with science. Key Projects: Leading initiatives like the MiReQu project (Mixed Reality Learning Environments for Quantum Technologies) and studies on BYOD impacts in classrooms. He co-developed tools such as the Light Spectrum Analyzer app and smartphone-based magnification devices. Grants & Awards: No specific grants or awards are mentioned in the provided texts. Labs/Teams: Actively involved in the Physics Education Research Group at the University of Münster, collaborating with institutions like the Deutsche Physikalische Gesellschaft (DPG) on curriculum development and innovation.

Harmen Oppewalمشاهده پروفایل

استاد

• Consumer Behaviour
• Retail Marketing
• Choice Models
• +۹ مورد دیگر

Harmen Oppewal is a Professor of Marketing at Monash Business School, Monash University. He holds a PhD from Eindhoven University of Technology and degrees in geography and social psychology from the University of Groningen. His research focuses on consumer behavior in retail, tourism, and urban planning contexts, employing experimental, modeling, and interpretative methods. He has served as Head of the Marketing Department (2012–2018) and is actively involved with the Monash Business Behavioural Lab since 2010. Education : PhD, Urban Planning, Eindhoven University of Technology Master's/Master of Science in Geography and Social Psychology, University of Groningen Research Interests : Consumer behavior, choice modeling, experimental research, retail marketing, tourism, pricing strategies, and visual attention. His work contributes to SDGs related to sustainable cities and communities (SDG 11) and responsible consumption (SDG 12). Recent Articles : Focus on scarcity tactics' impact on consumer decisions, spatial choice modeling, and the integration of VR/eye-tracking in retail research. Key areas include brand perception, tourist behavior, and pricing dynamics. Awards : ANZMAC Distinguished Researcher of the Year (2008) Fellow of ANZMAC (2013) Journal of Retailing Outstanding Reviewer Award (2020) Grants & Supervision : Secured funding from ARC, EU, and industry partners. Supervised over 20 PhD completions. Active on editorial boards of Journal of Retailing , European Journal of Marketing , and Journal of Travel Research . Collaborations : Global partnerships in tourism, urban planning, and consumer behavior research, with projects funded by UK's Advanced Institute of Management and Sustainable Tourism CRC.

• Motor Control
• Neuroplasticity
• Sports Science
• +۳ مورد دیگر

Prof. Dr. Wolfgang Taube is a leading academic at the University of Fribourg , affiliated with the Faculty of Science and Medicine and specializing in Motor Control and Neuroplasticity within the Movement and Sport Sciences department. His work bridges Neuroscience , Physiology , and Rehabilitation through rigorous experimental designs. Role: Professor Location: PER 21 bu. F429, Bd de Pérolles 90, 1700 Fribourg, Switzerland Contact: wolfgang.taube@unifr.ch ORCID: 0000-0002-8802-2065 His research explores neural mechanisms of motor learning , age-related adaptations , and interventions to enhance balance and sensorimotor function . Key areas include: Modulation of GABAergic inhibition through training fNIRS/fMRI studies on cortical activation patterns Biomechanical analysis in sports performance Neurorehabilitation strategies for chronic pain Recent publications demonstrate a focus on age-related neuroplasticity , external focus of attention , and technology-driven training interventions across sports like football and swimming. Methodologically, he integrates randomized trials , meta-analyses , and machine learning applications in motor control studies.

• Developmental Psychology
• Social Cognition
• Cognitive Psychology
• +۳ مورد دیگر

Ildikó Király is a Professor at the Institute of Psychology, Eötvös Loránd University, Budapest, currently serving as Head of the Department of Cognitive Psychology and lecturer. Her research focuses on developmental psychology, particularly social cognition, imitation behavior, and theory of mind in early childhood. Key areas: Social Cognition , Developmental Neuroscience , and Cognitive Development Recent work examines preschoolers' exploration tendencies, joint action observation effects, and linguistic group membership's role in perspective taking. She leads the Social Minds Research Group , investigating how cultural knowledge transmission shapes cognitive development. Her 2021-2025 publications reveal trends in: Imitative behavior's sensitivity to social norms and group identity Memory flexibility in adapting to changing contexts Interactions between semantic processing and mentalization in social situations Comparative studies on human and non-human primate cognition

• Plant Genetics
• Crop Biodiversity
• Breeding Informatics
• +۵ مورد دیگر

Karl Schmid is a W3 Professor of Crop Plant Biodiversity and Breeding Informatics at the University of Hohenheim's Institute of Plant Breeding, Seed Science and Population Genetics within the College of Agricultural Sciences. His research integrates evolutionary genetics, population genomics, and machine learning to address agricultural challenges. Ph.D. in Biology, University of Munich (1996) Postdoctoral Research, Cornell University (1997-1999) Emmy-Noether Research Group, Max Planck Institute of Chemical Ecology (2000-2006) Group Leader, Leibniz Institute of Plant Genetics (2006-2008) Professor of Genetics, Swedish Agricultural University (2008) His research focuses on crop biodiversity conservation, evolutionary genetics of plant pathogens, and breeding informatics applications. Current work leverages deep learning for phenotyping (quinoa panicles, barley genomics) and analyzes pathogen evolution (Exserohilum turcicum in maize). His team actively develops computational tools like GGoutlieR for geo-genetic pattern detection. Recent publications demonstrate strong trends in applying AI to agricultural genomics, particularly in quinoa improvement and pathogen surveillance. His group leads the EU H2020 INVITE project on molecular markers in plant variety protection and organizes international symposia like the 2024 Quinoa Symposium at Hohenheim. Head of Crop Biodiversity and Breeding Informatics Group Principal Investigator, EU H2020 INVITE project Organizer, International Quinoa Symposium 2024

• Social Cognition
• Attention Mechanisms
• Action Observation
• +۵ مورد دیگر

Professor Andrew Bayliss is a Professor in Psychology at the University of East Anglia's School of Psychology, where he serves as Social Cognition Research Group Lead and UEA UOA4 Psychology REF coordinator. He joined UEA in 2011 after completing his PhD at Bangor University and holding postdoctoral fellowships with the ESRC, Leverhulme Trust, and University of Queensland. Undergraduate Degree: Bangor University PhD: Bangor University Postdoctoral Fellowships: ESRC, Leverhulme Trust, University of Queensland His research spans social cognition, attention-action interactions, and individual differences, with specific focus on face perception, eye gaze processing, and objects in social contexts. Utilizing methodologies including eye tracking, motion capture, EEG, and fMRI, his work examines how social cues guide attention and influence behavior. Current projects investigate gaze understanding development, interpersonal agency, and autism interventions using natural scenes. Analysis of his recent publications reveals a strong emphasis on social attention mechanisms, particularly gaze leading phenomena, interpersonal distance effects, and neural correlates of shared attention. His work increasingly integrates autism research with social cognition paradigms while maintaining core investigations into attentional orienting and agency perception. Bayliss actively contributes to the academic community through editorial roles at Psychological Review and Psychonomic Bulletin and Review, peer review activities, and consultancy work including the Social Neuroscience of Cinema Attendance project. He maintains international collaborations, notably with Paris Nanterre University. As Social Cognition Research Group Lead, he oversees a dynamic team investigating the neural and cognitive mechanisms underlying social interactions. His lab employs multimodal approaches to study real-time social processing, with recent work expanding into human-robot interaction and pandemic-related social adaptations.

Michaela Hauمشاهده پروفایل

استاد

• Evolutionary Physiology
• Comparative Physiology
• Animal Adaptation
• +۳ مورد دیگر

Prof. Dr. Michaela Hau is a leading researcher in evolutionary physiology and endocrinology at the Max Planck Institute for Biological Intelligence in Seewiesen. Her work focuses on understanding how animals adapt physiologically to environmental challenges, particularly through studies on birds. She leads a research group investigating reproductive endocrinology, circadian systems, and stress hormone dynamics. Her team's recent work, including a 2022 study on great tits' glucocorticoid plasticity in response to temperature fluctuations, highlights her expertise in climate change biology and physiological adaptation. Michaela Hau's research integrates field studies with experimental approaches, emphasizing the interplay between ecology, evolution, and physiology. She has collaborated with institutions like the Düsseldorf University of Applied Sciences on innovative data visualization projects, such as student Evi Hoang's interactive website interpreting stress hormone data. Her research has been published in high-impact journals, addressing topics like hormone-environment interactions and the fitness consequences of reproductive strategies. Her advisory role includes mentoring PhD students like Marlene Oefele, who won a poster prize at an international symposium. While no personal awards are explicitly listed, her contributions have advanced understanding of avian endocrinology and climate resilience mechanisms.

Yi Duمشاهده پروفایل

پژوهشگر

• Infectious Disease Surveillance
• Data Science in Public Health
• COVID-19 Surveillance
• +۳ مورد دیگر

Yi Du is a Healthcare Epidemiologist in the Department of Epidemiology at the College of Public Health, University of Nebraska Medical Center (UNMC), a position held since 2022. Previously, Du served as an Emergency Medical Services (EMS)/External Cause of Injury Code (E-code) Data Analyst Intern and State Epidemiologist Assistant at the Nebraska Department of Health and Human Services, focusing on COVID-19 surveillance. Education: PhD in Epidemiology, University of Nebraska Medical Center, 2017-2022 MS in Public Health, University of Miami, 2014-2016 MS in Developmental Neurobiology, Lanzhou University, 2011-2014 BS in Bioscience, Lanzhou University, 2007-2011 Yi Du's research focuses on infectious disease surveillance, particularly for COVID-19, including case investigation, hospitalization, death, and vaccine effectiveness. Additional areas include injury surveillance (drug overdose, suicide, EMS), data science applications in public health for data integration and visualization, and studies on nonalcoholic fatty liver disease. Du employs cross-sectional, surveillance, and survey methodologies to address public health challenges. Recent publications (2021-2022) demonstrate a strong emphasis on COVID-19 epidemiology, with multiple studies on school-based transmission, community risk assessment, and case growth rates. Other work addresses occupational health in agricultural settings (musculoskeletal discomfort, pulmonary conditions) and injury surveillance. The research integrates data science for public health applications, reflecting a multidisciplinary approach to epidemiological challenges. No scientific awards, prizes, or fellowships were mentioned. Yi Du has not listed any formal advisees or students. Additionally, no grant information was provided in the text.

Rosanne Rademakerمشاهده پروفایل

استاد پژوهشی

• Perception
• Working Memory
• Attention
• +۳ مورد دیگر

Dr. Rosanne Rademaker is a Research Professor and Group Leader at the Rademaker Lab, part of the Ernst Strüngmann Institute (ESI) in Frankfurt, Germany, affiliated with Goethe University’s Department of Psychology. Her research focuses on understanding how sensation and cognition interact to shape human perception, particularly in visual working memory, attention, and physiological arousal states. Her lab employs behavioral, computational, and neuroimaging techniques (fMRI, M/EEG) to explore how the brain balances perceptual input with stored memories. In addition to foundational work on memory and attention, the lab investigates context effects on perception, motor-output impacts on visual processing, and computational neural principles. Rosanne emphasizes collaborative, fun science, fostering an inclusive environment through outreach and international collaborations. Key recent work includes studies on categorical representations in the visual hierarchy and neural dynamics during memory recall. Lab Members: Giuliana Giorjiani (PhD), Noa Noelle Krause (MSc), Amit Rawal (PhD), Maria Servetnik (PhD), Nursima Ünver Aydingül (PhD). Grants & Collaborations: Mishal Qubad’s “Junior Clinician Scientist” grant on schizophrenia visual maps, international collaborations with Toronto and the Max Planck School of Cognition. Teaching: Lectures on “Introduction to Cognitive Psychology” at Goethe University. Publications highlight her work in Nature Neuroscience , eLife , and Journal of Cognitive Neuroscience , with over 30 peer-reviewed articles. The lab actively engages in conferences (VSS, ECVP) and hosts annual retreats to promote scientific exchange.

• Sociology of Culture
• Sociology of Art
• Sociology of Youth
• +۶ مورد دیگر

Prof. Dr. Antoanela Petkovska is a Full Professor at the Institute of Sociology, Faculty of Philosophy, Ss. Cyril and Methodius University (UKIM). Born in 1958, she holds a PhD in Sociology from the University of Belgrade. Her career spans over four decades, including roles as assistant professor (1994) and associate professor (1999). She specializes in sociology of culture, art, youth, and intercultural communication. She has conducted study stays in the USA (civic education) and France (brain drain). Educations: BA (1980) and MA (1985) from UKIM, PhD (1993) from University of Belgrade. Her research focuses on cultural policy, art sociology, gender studies, and European integration. She has published over 20 books and chapters, including Есеи од социологијата на културата (2009) and Иновацијата низ хуманистички и општествени науки (2020). She has coordinated major projects like EVS European Values Study (2008/2018) and studies on creative industries (2008). Teaching spans undergraduate, graduate, and doctoral programs with courses like Sociology of Visual Culture , Intercultural Communication , and European Civilization . She led professional associations including the Macedonian Center for Culture and Arts (President) and served as President of the Association of Sociologists of Macedonia (2008–2011). Her work addresses societal security through cultural exclusion analysis, youth values, and transnational identity dynamics. Research collaborations include Bulgarian universities and international organizations like DCAF Geneva.

• Database Management
• Spatial-Textual Data Processing
• Heterogeneous Data Usability
• +۶ مورد دیگر

Professor Zhifeng Bao is a faculty member at RMIT University's School of Computing Technologies. His research focuses on enhancing data usability across heterogeneous domains, including structured, unstructured, and spatial-temporal data. His work spans database management, keyword search optimization, social network analysis, and spatio-textual data processing. He coordinates the course COSC1169: Intranet and Internet Data Engineering and supervises PhD/Masters students in projects such as trajectory data processing, data asset valuation, and edge computing optimization. Research interests emphasize improving data accessibility and efficiency through methodologies like query relaxation, visual analytics, and provenance tracking. His recent projects include cost-effective edge node placement, traffic accident risk prediction, and differentially private federated learning. Teaching and supervision activities highlight a commitment to bridging theory and practical data engineering challenges.

Chi Zhouمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Rapid Prototyping
• 3D Printing Technologies
• +۴ مورد دیگر

Chi Zhou is an Associate Professor and Director of Graduate Studies in the Department of Industrial and Systems Engineering at the University at Buffalo. He also holds an adjunct appointment as Adjunct Associate Professor in the Department of Computer Science and Engineering. His research focuses on additive manufacturing, rapid prototyping, and advanced material systems. Zhou has a PhD in Industrial and Systems Engineering (2011) from the University of Southern California, with additional degrees in Computer Science and Industrial Engineering. His work bridges manufacturing processes, material science, and computational methods. Key research areas include inkjet printing process optimization, hydrogel-based 3D printing, thermal insulation materials from agricultural byproducts, and smart material systems like magnetorheological metamaterials. He has pioneered methods for real-time process monitoring and defect detection in additive manufacturing. Zhou’s recent publications emphasize sustainable manufacturing solutions, such as bio-based insulation materials and cost-effective silica aerogel production. His contributions also span energy harvesting (e.g., conductive hydrogel generators) and advanced structural designs using triply periodic minimal structures. He has led interdisciplinary projects integrating digital twins for cyber manufacturing systems and geometric deep learning for mass customization applications.

Ulrica Nylenمشاهده پروفایل

دانشیار

• Management
• Organizational Behavior
• Leadership Studies
• +۴ مورد دیگر

Ulrica Nylen is an Associate Professor in Business Administration (Management) at Umeå School of Business, Economics and Statistics (USBE), Umeå University. Her work focuses on teaching organizational behavior, leadership, and qualitative research methods, while actively collaborating with societal actors on applied research projects. Research Interests: She investigates professional identity development, particularly among Swedish police officers in international roles; interprofessional teamwork in human services sectors; and collaboration dynamics across organizations. Her methodological focus includes advancing qualitative research techniques. Current projects include studies on women entrepreneurship in Västerbotten and university-society partnerships. Awards: Nordeas thesis award (Diversity and Inclusion) Collaborations & Grants: Engages in multi-stakeholder projects with public agencies and NGOs, emphasizing applied research. Notable collaborations include evaluations of healthcare delivery systems and social service innovations. Labs/Teams: Works within interdisciplinary teams at USBE and partners with regional organizations like Västerbottens läns landsting to implement research into practice.

Zhao Zhaoمشاهده پروفایل

استادیار

• Wearable Systems
• Human-Computer Interaction (HCI)
• Human-Robot Interaction (HRI)
• +۴ مورد دیگر

Zhao Zhao is an Assistant Professor at the School of Computer Science, University of Guelph. Her work focuses on wearable systems, human-robot interaction, and gamification for health and education. She holds a PhD from Carleton University (2019) and completed a postdoctoral fellowship at the University of Toronto (2019–2023) before roles at McMaster University and her current position. Education includes a BSc in Computer Science from University of Electronic Science and Technology of China (2011), MSc from Carleton University (2014), and PhD in Electrical and Computer Engineering (2019). Research interests span physiological computing, AI-assisted creativity tools, and adaptive systems leveraging wearable sensors. Key research areas include: 1) Wearable-based gamification for health and education, 2) Emotion sensing via physiological signals, and 3) Human-robot interaction enhanced by wearable data. Her lab uses Empatica EmbracePlus wristbands and Emotiv EEG headsets to analyze real-time physiological responses in diverse interaction scenarios. Recent publications (2020–2025) emphasize personalized exergame systems, child-robot interaction studies, and AI linguistic competency analysis. She actively seeks graduate students and industry partnerships in wearable technology, education tech, and HRI.

• Fluid Dynamics
• Microfluidics
• Biophysics
• +۳ مورد دیگر

Bin Liu is an Associate Professor in the Department of Physics at the University of California Merced. His research focuses on fluid dynamics, microfluidics, and active matter systems, with emphasis on bacterial motility, geometric control of fluid flows, and origami-based mechanics. He explores applications in biomedical engineering and material science through innovative microfluidic device designs and theoretical frameworks. His work integrates experimental and computational approaches to study phenomena such as symmetry-protected flows, bacterial behavior in structured environments, and topological properties of origami metamaterials. Liu’s contributions bridge physics, engineering, and biology, addressing challenges in lab-on-a-chip technologies and active matter systems. Key research topics include stress-free microfluidic manipulation, size-dependent transport in micropillar arrays, and the dynamics of bacterial aggregates. His studies often reveal how geometric and symmetry principles can be leveraged to control fluid flows and microbial behavior at microscopic scales.