Find Academic Supervisors

• Social Cognition
• Attention Mechanisms
• Action Observation
• +5 more

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 HauView profile

Professor

• Evolutionary Physiology
• Comparative Physiology
• Animal Adaptation
• +3 more

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 DuView profile

Researcher

• Infectious Disease Surveillance
• Data Science in Public Health
• COVID-19 Surveillance
• +3 more

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 RademakerView profile

Research Professor

• Perception
• Working Memory
• Attention
• +3 more

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
• +6 more

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
• +6 more

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 ZhouView profile

Associate Professor

• Additive Manufacturing
• Rapid Prototyping
• 3D Printing Technologies
• +4 more

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 NylenView profile

Associate Professor

• Management
• Organizational Behavior
• Leadership Studies
• +4 more

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 ZhaoView profile

Assistant Professor

• Wearable Systems
• Human-Computer Interaction (HCI)
• Human-Robot Interaction (HRI)
• +4 more

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
• +3 more

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.

• Transportation Safety
• Automated Vehicles
• Human Factors in Transportation
• +3 more

Rakotonirainy Andry is a Professor at Queensland University of Technology (QUT), affiliated with the Centre for Accident Research & Road Safety - Queensland (CARRS-Q). His research focuses on transportation safety, automated vehicles, human factors, and intelligent transportation systems (ITS). He leads interdisciplinary projects exploring driver behavior, connected vehicle technologies, and the societal impacts of automation. Key areas include accident prevention, human-vehicle interaction, and equity in transport systems. His work integrates machine learning, simulation studies, and behavioral analysis to address challenges in road safety. Notable contributions include studies on driver stress detection, automated vehicle acceptance, and the Australian Naturalistic Driving Study (ANDS). He collaborates with institutions globally, advancing innovations like connected vehicle pilots and multimodal AI for traffic safety. Research interests span automated driving systems, vulnerable road user protection, and policy implications of emerging technologies. His findings contribute to safer transportation policies and technologies, emphasizing both technical and human-centric perspectives.

• Human Visual Perception
• Contour-Shape Processing
• Texture Perception
• +5 more

Dr. Elena Gheorghiu is an Associate Professor in the Department of Psychology at the University of Stirling, within the Faculty of Natural Sciences. She holds a PhD from Utrecht University (Netherlands) and has held post-doctoral positions at McGill University (Canada) and KU Leuven (Belgium). Her research focuses on human visual perception, specifically contour-shape processing, texture analysis, binocular vision, and visual illusions. She has received the prestigious 1st Prize at the Best Visual Illusion of the Year Contest (2007) for the 'Leaning Tower Illusion.' Education: PhD in Psychology, Utrecht University (Netherlands) Postdoctoral Fellowships: McGill University (Canada) and University of Leuven (Belgium) Research Interests: Contour/Texture Processing Stereopsis and Binocular Vision Symmetry and Regularity Perception EEG/ERP and Computational Modelling Her grants include funding from EPSRC (2024-2027), MOD-Dstl (2023), and Wellcome Trust (2015-2019). She has advised numerous postdoctoral researchers and students, including Dr. Rebecca Sharman (now at Abertay University) and Dr. Damien Wright (University of Edinburgh). Her lab explores topics such as mirror symmetry detection, contextual modulation effects, and temporal dynamics of visual perception. Key achievements include over 60 peer-reviewed articles and advancements in understanding visual perception mechanisms through psychophysical and neurophysiological methods.

Jennifer J. BlackhurstView profile

Adjunct Professor

• Supply Chain Risk Management
• Supply Chain Disruption Management
• Supplier Assessment and Selection
• +6 more

Jennifer J. Blackhurst is an Adjunct Professor in the Department of Business Analytics at the Tippie College of Business, University of Iowa. She has held several key academic and administrative roles, including Professor in Business Analytics (2021–2025), Associate Dean for Graduate Professional Programs (2020–2025), and the Leonard A. Hadley Chair/Professor in Business Analytics (2019–2024). Her career reflects deep engagement in supply chain research, academic leadership, and editorial contributions to top journals. Her research focuses on supply chain risk and disruption management, supplier assessment and selection, supply chain coordination, and innovation. She explores how organizations can build resilience through strategic adaptation, network design, and behavioral competencies. Her work integrates complex systems theory, empirical analysis, and data-driven modeling to address real-world supply chain challenges. The recent publications highlight a strong trend in understanding supply chain resilience through network science, agent-based modeling, and systemic risk frameworks. Her research spans both technical and human dimensions, examining not only structural vulnerabilities but also organizational behaviors and knowledge-based competencies that influence risk mitigation. Key themes include disruption propagation, robustness measurement, and the dual role of innovation in both enhancing performance and potentially increasing vulnerability. Scientific Awards and Honors: Best Paper Award - Transportation Journal and APICS, 2018 Outstanding Associate Editor - Decision Sciences Journal, 2017 MBA Business Analytics Professor of the Year - Tippie College of Business, 2017 Outstanding Associate Editor - Decision Sciences Journal, 2013 Emerging Leaders Academy - Iowa State University, 2013 - 2014 Citations of Excellence Award - Emerald Management Reviews, 2011 Jennifer Blackhurst has played a significant role in academic service through editorial and review activities, serving as Senior Editor for the Journal of Business Logistics and on the editorial boards of several leading journals including IEEE Transactions on Engineering Management , Decision Sciences Journal , and Journal of Operations Management . While no formal advising or grant information is listed, her leadership roles and extensive publication record suggest active mentorship and research supervision. She is a member of the Council for Supply Chain Management Professionals and the Decision Sciences Institute, further demonstrating her national engagement in the field.

• Political Online Communication
• Media Effects and Public Perception
• Political Consumerism
• +5 more

PD Dr. Marco Dohle is a Senior Lecturer at the Department of Communication and Media Studies within the Faculty of Philosophy and Social Sciences at Heinrich Heine University Düsseldorf . Since 2010, he has been a staff member, completing his Habilitation in 2015. He has held substitute professorships at Johannes Gutenberg University Mainz, TU Dortmund University, and Heinrich Heine University Düsseldorf. Research Interests: Political Online Communication, Media Influence Perception, Political Consumerism, Migration and Integration Media Coverage, Sports Communication Projects: Directed DFG-funded subprojects on political online influence consequences (2011–2018), BMBF-funded migration media analysis (2017–2020), and a citizen science project on everyday political consumerism (2024–present). Education Media Management with minor in Psychology, Institute for Journalism and Communication Research, Hanover University of Music and Drama Guest semester at Örebro University, Sweden Recent Publications focus on fake news , political consumerism , media trust , and migration reporting , with interdisciplinary ties to political psychology , digital sociology , and media ethics . His work spans empirical studies on social media dynamics , audience polarization , and media's role in democratic processes . Collaborations include partnerships with Gerhard Vowe , Ole Kelm , and institutions like DGPuK and ECREA . He actively contributes to scientific conferences and editorial work in communication journals.

• Food Policy
• Emerging Food Issues
• Consumer Behavior
• +2 more

Jayson Lusk is the Vice President and Dean of Oklahoma State University's Division of Agricultural Sciences and Natural Resources. He holds the Regents Professor title in the Department of Agricultural Economics and leads the Ferguson College of Agriculture, OSU Extension, and OSU Ag Research. With over 290 peer-reviewed articles and six books, he specializes in food policy, consumer behavior, and agricultural economics. His research spans topics like GLP-1 agonists' impact on food consumption , precision livestock farming , and animal welfare policies . Research Interests : Lusk's work focuses on food policy trade-offs, emerging technologies (e.g., biotechnology, gene editing), consumer behavioral economics, and livestock marketing. He has pioneered methods like inferred valuation and calibrated choice experiments . Recent Publications analyze plant-based meat substitution , risk preference visualization , and extreme weather's economic impacts . His articles often integrate experimental economics and neuroeconomic techniques . Scientific Honors include fellowships from the Agricultural and Applied Economics Association (AAEA) and American Association for the Advancement of Science (AAAS) , alongside a past presidency in AAEA. Funding History features grants from the National Institute of Food and Agriculture (2015–2024) addressing topics like consumer trade-offs , fairness in supply chains , and gene-edited food valuation . His career bridges academic research with policy advisory roles and extensive media engagement.