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Astrid Bredholt StensrudView profile

Associate Professor

• Social Anthropology
• Climate Change
• Water Management
• +7 more

Astrid Bredholt Stensrud is an Associate Professor at the Department of Global Development and Planning, University of Agder, specializing in social anthropology. Her work bridges development issues, Latin American studies, and crisis response, with a focus on the Peruvian Andes. PhD in Social Anthropology (2011), University of Oslo Master's in Social Anthropology (2004), University of Oslo Her research explores how communities navigate crisis, inequality, climate change, and water management, interrogating neoliberalism, decolonization, and human-nature relations. She employs ethnographic methods to analyze precarious labor, gender dynamics, and environmental governance. Recent publications highlight the interplay of climate change and world-making practices in Peru. She has also contributed to debates on water extractivism, hydrosociality, and the moral economies of care in crisis contexts. Scientific awards: Feature articles in Fædrelandsvennen (2019, 2021), Khrono.no (2020), and Klassekampen (2021) Stensrud's advisory and collaborative work extends to interdisciplinary teams, including CIEM (Centre for Integrated Emergency Management) and climate change research groups, emphasizing community resilience and policy relevance.

Elizabeth T. WelshView profile

Associate Professor

• Mentoring
• Human Resources
• Management
• +2 more

Elizabeth T. Welsh serves as Associate Professor in the Management Department at the University of St. Thomas' Opus College of Business, teaching graduate/undergraduate courses in interpersonal relationships, employee development, and human resources while leading the Health Care MBA capstone program. Her academic foundation includes: PhD in Human Resources & Industrial Relations (University of Minnesota) MS and MBA in Computer Science (University of California) BS in Electrical Engineering (Stanford University) Welsh's research interrogates mentoring dynamics and leadership relevance, with emphases on gendered mentoring perceptions, boss-employee relationship management, and translating academic insights into actionable leadership strategies. Her work consistently bridges theoretical rigor with executive applicability through qualitative and quantitative methodologies. Publication trends reveal sustained focus on mentoring evolution (2003–2019), expanding from foundational e-learning studies to contemporary examinations of boss management and gender dynamics. These contributions span organizational behavior, human resources, and vocational psychology domains with increasing methodological sophistication. Recognition includes: U of M - Herbie Award in HRIR Program (2008) Her industry pedigree—encompassing McKinsey consultancy, Microsoft program management, and InstallShield VP roles—informs pedagogical innovation through real-world case studies and experiential learning. Service activities include editorial reviewing for Career Development International and Human Resources Management alongside Academy of Management membership, though specific grant details remain unreported. Welsh operates within standard departmental structures without dedicated lab affiliations, leveraging her interdisciplinary background to connect engineering, business analytics, and human capital development through curriculum design and corporate engagement.

Lydia WoodyattView profile

Professor

• Self-Forgiveness
• Wellbeing
• Justice and Moral Repair
• +7 more

Lydia Woodyatt is a Professor in Psychology at Flinders University, where she serves as the Teaching Program Director in Psychology within the College of Education, Psychology and Social Work. She is affiliated with the Flinders University Institute for Mental Health and Wellbeing and is recognized as a leading expert in psychological science applied to social wellbeing across diverse contexts. Her educational background includes: B. Min. Grad. Dip Psych. B.A (Hons) PhD Professor Woodyatt's research program spans multiple practical contexts where psychological needs shape social wellbeing, including relationships, organizational leadership, workplace conflict, debt management, customer service, loneliness in communities, military and veteran experiences, child protection, and university settings. She has made significant theoretical contributions to the psychology of justice and moral repair, wellbeing, psychological needs, emotions, motivation, and relationships. Her methodological approach integrates prospective-longitudinal, intervention, qualitative, dyadic, and experimental designs to advance understanding of complex psycho-social processes. Her scholarly work reveals consistent themes across moral psychology, with particular emphasis on self-forgiveness processes, transgression dynamics, and wellbeing outcomes. The research trajectory shows increasing attention to military/veteran experiences, cross-cultural perspectives on forgiveness, and the application of psychological principles to real-world organizational contexts. Professor Woodyatt has received numerous prestigious awards including: Augusta Zadow Award (2023) for Improving Health and Safety Outcomes for Women and Young People Hospital Research Fund Smarty Pants Strategic Research Fund (2021-2024) for Veteran Transition and Mental Health Westpac Collaborative Research Funding (2023-2024) for Staff well-being in debt management contexts Australian Research Council Discovery Project (2019-2022) on Dynamics of forgiveness and self-forgiveness Multiple College of Education, Psychology and Social Work Awards for Teaching Innovation and Excellence (2018, 2019, 2023, 2024) Vice Chancellor's Award for Teaching Excellence (2014) As an educator and academic leader, Professor Woodyatt co-created Flinders University's Certificate and Graduate Certificates in Mental Health and Wellbeing and developed the highly successful online topic "The Psychology of Surviving and Thriving." She has held university leadership roles in wellbeing and retention, securing substantial funding from both ARC and industry partners. Her media engagement includes contributions to The Conversation and appearances on SBS Insight discussing psychological aspects of relationships, forgiveness, and shame.

Eric A. HurleyView profile

Professor

• Cultural Psychology
• Group Processes
• Minority Education
• +9 more

Eric A. Hurley is a Professor of Psychological Science and Africana Studies at Pomona College, where he has been since 2007. His research explores how cultural orientations influence educational outcomes for minority children, emphasizing the mismatch between home/community cultural values and mainstream classroom demands. He has conducted studies in the U.S., South Africa, and Central/South America, focusing on cultural integrity, communalism, and stereotype threat. Ph.D., Howard University Bachelor of Science, University of Florida Professor Hurley's work bridges psychology and Africana Studies, arguing that infusing students' home cultures into learning contexts can resolve conflicts between academic success and cultural identity. His DSC Lab examines deep-structure cultural values and their impact on cognitive development. He has also developed methodologies to assess cultural orientations across diasporas, highlighting differences between Asian and African diaspora groups. His recent publications focus on sociocultural factors in education, communalism in pedagogy, and cross-cultural continuities in African American and South African populations. Research trends emphasize cultural psychology, educational reform, and diaspora studies. Jeffrey S. Tanaka Memorial Dissertation Award, American Psychological Association Post-Doctoral Fellowship, Teachers College at Columbia University Pre-Doctoral Fellowship, Smith College Hurley's academic work includes advising students on projects like *Anthony M. Sylvester's research on communal math pedagogy and *Alan R. Lopez on African American cultural themes in South Africa. He has also contributed to discussions on educational psychology, race, and cultural identity through Sagecast podcast appearances, where he shared insights on his interdisciplinary approach and international research collaborations.

Elizabeth CookView profile

Senior Lecturer

• Homicide
• Femicide
• Gender and Violence
• +9 more

Dr. Elizabeth Cook is a Senior Lecturer in the Violence and Society Centre at City, University of London, where she has been a faculty member since January 2020. Her work spans sociology and criminology, with a strong focus on gender-based violence, homicide, and the role of family activism in shaping justice systems. She contributes to major interdisciplinary research initiatives, including the UKRI-funded Prevention Research Partnership (PRP) Consortium on Violence, Health and Society, and a British Academy Small Grant on non-intimate femicide. PhD in Criminology, University of Manchester ESRC Postdoctoral Research Fellow, University of Oxford Max Batley Postdoctoral Research Associate, University of Sheffield International Visiting Scholar, Monash University, Australia Research Associate, Centre for Criminology, University of Oxford Dr. Cook’s research centers on the intersections of gender, inequality, and homicide, with a particular emphasis on how bereaved families influence policy and justice outcomes. She investigates statutory fatality review systems and advocates for improved data practices in violence prevention. Her research is deeply interdisciplinary, combining insights from sociology, criminology, public health, and feminist theory. Her recent publications include the monograph Family Activism in the Aftermath of Fatal Violence (Routledge, 2021), co-edited special issues in Current Sociology , and peer-reviewed articles in The Lancet Psychiatry , Social & Legal Studies , and Criminology & Criminal Justice . Her work often explores narrative methods, victim voices, and the politics of knowledge production in global violence research. Member, Peer Review College, Arts and Humanities Research Council (AHRC) Member, Editorial Board, Sociology Co-Editor, 'Violence, Inequality and Change' book series (Routledge) Dr. Cook actively supervises PhD students, including Katie Smith (on domestic violence support services) and Sarah Dangar (on domestic abuse-related suicide). She is involved in multiple research teams and collaborates with institutions across the UK, Australia, and Europe. Her work is supported by prestigious grants and has been presented at international conferences such as the European Society of Criminology and the American Society of Criminology.

• Psychology of Entrepreneurship
• Entrepreneurial Well-being
• Social Entrepreneurship
• +3 more

Ute Stephan is a Professor of Entrepreneurship at King's Business School, King's College London. Her work sits at the intersection of entrepreneurship, psychology, and organizational behavior, focusing on entrepreneurial well-being, social entrepreneurship, and cultural-institutional influences. Department: Strategy, International Management & Entrepreneurship Key affiliations: IfM Bonn, Founder Mental Health Pledge, GLOBE project Research Themes include: Entrepreneurial Well-Being & Mental Health Cultural & Institutional Impact on Entrepreneurship Social Entrepreneurship & Inclusivity Post-Pandemic Business Recovery Scientific Awards highlight her influence: 2025 JIBS Decade Award Fellow of the International Association of Applied Psychology King's Dean's Award for Outstanding Research (2022) Her editorial leadership spans top journals like Journal of Management and Entrepreneurship Theory & Practice . She leads a 25-country study on entrepreneurship during the pandemic and the WEWell project on women entrepreneurs' well-being.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +3 more

Dr. Mor Geva is a prominent researcher in natural language processing and machine learning, focusing on transformer-based language models, interpretability, and knowledge representation. Their work addresses fundamental questions about model reasoning, uncertainty expression, and factual recall mechanisms. Key research themes: language model interpretability, multi-hop reasoning limitations, numerical encoding, cross-modal knowledge gaps Recent publications analyze gradient projection, attention head functionality, and fallback behaviors under uncertainty 2023-2025 studies reveal insights into factual association recall, knowledge editing ripple effects, and vision-language model interactions. Collaborations span top institutions in ACL, EMNLP, and ICLR venues. Current research explores parametric knowledge tracing, encoder-decoder dynamics, and attention hijacking phenomena. Tools like LM-Debugger enable interactive model inspection, while theoretical work examines base-10 numerical encoding and task vector creation.

Phil HusbandsView profile

Research Professor

• Artificial Intelligence
• Evolutionary Robotics
• Artificial Life
• +12 more

Phil Husbands is a Research Professor of Artificial Intelligence in the Department of Informatics at the University of Sussex, School of Engineering and Informatics. He is a co-founder of the Centre for Computational Neuroscience and Robotics (CCNR) and a founding member of the Evolutionary and Adaptive Systems group (now the AI Group), reflecting his deep interdisciplinary engagement across engineering, neuroscience, and computer science. His research interests span artificial life, evolutionary robotics, biologically inspired neural networks, computational neuroscience, machine learning, and the history and philosophy of AI. He has pioneered work on GasNets (neural networks with diffusible modulators), insect-inspired navigation, and bio-inspired optimization algorithms. His work often bridges theory and application, integrating insights from biology into adaptive robotic systems. The recent publications highlight a strong trajectory in bio-inspired computation, including evolutionary swarm algorithms, neuromodulation models, cognitive architectures, and tactile robotics. His work increasingly explores foundational questions in agency, time perception, and autonomy, suggesting a move toward more comprehensive models of artificial cognition. Scientific Awards: No specific awards listed in the provided text. Phil Husbands has been involved in numerous research grants from major funders including the European Union, EPSRC, BBSRC, and Wellcome Trust. He has supervised multiple doctoral students and collaborated widely, notably with Andy Philippides and Michael O’Shea. He is actively engaged in postgraduate research supervision and public dissemination of science through books like Robots: What Everyone Needs to Know . He leads and contributes to interdisciplinary research teams such as the Evolutionary and Adaptive Systems group and the Centre for Computational Neuroscience and Robotics, fostering collaboration between computer scientists, neuroscientists, and roboticists.

• Social Ecology
• Ecological Economics
• Social Metabolism
• +3 more

Anke Schaffartzik is an Assistant Professor and Masters Programs Director in the Department of Environmental Sciences and Policy at the Central European University (CEU). Her research focuses on social metabolism, ecological economics, and material flows, particularly exploring how societal organization and trade patterns influence resource distribution and inequality. She holds a PhD in Social Ecology from Alpen-Adria University and academic degrees in Environmental Management and English Studies. Her work bridges interdisciplinary research in sustainability science, addressing topics like global material inequality, socio-ecological resilience, and the intersections of economic systems with environmental justice. She teaches courses on social metabolism, environmental sociology, and quantitative methods. Recent publications emphasize globalization’s material dimensions and the need for equitable resource management strategies. Key events include her involvement in discussions on planetary boundaries, energy transitions, and inequality, reflecting her commitment to linking theoretical insights with actionable policy frameworks.

Kevin LuView profile

Senior Lecturer

• Digital Transformation
• Business Analytics
• Generative Artificial Intelligence
• +6 more

Dr. Kevin Lu is a Reader at Brunel Business School, Brunel University London, specializing in digital transformation and business analytics. His research focuses on leveraging Generative Artificial Intelligence (GAI) technology for digital business strategy development. He has published over 30 research articles in leading journals, 3 book chapters, and more than 30 conference papers. His work has been supported by organizations such as SAMS, GCRF, Innovate UK, EPSRC, and the EU. Dr. Lu holds a BSc (Hons) in Mathematics, a PhD in Management, and a Postgraduate Certificate in Teaching and Learning in Higher Education. Before joining academia, he worked in industry as a computer software engineer, bringing practical experience to his research and teaching. His research interests span digital marketing and marketing analytics, understanding business development through data analysis, and Generative AI applications in marketing. Dr. Lu adopts a computer science perspective in his work, encompassing topics such as social networks, trust, web science, artificial intelligence, and fair and accountable interactions. His studies utilize methods including mathematical modeling, optimization, and econometrics. His recent publications demonstrate a strong focus on the intersection of AI and consumer behavior, particularly in e-commerce contexts, with increasing emphasis on Generative AI applications. Dr. Lu has successfully supervised ten PhD students to completion and currently supervises research on developing business strategies for digital products using Generative AI techniques. His research has attracted significant funding from prestigious organizations including SAMS, GCRF, Innovate UK, EPSRC, and the EU. Fellow of the Higher Education Academy (FHEA) Member of the SAS Academy Programme Chair for Business Analytics track at IEEE Conference on Business Informatics He teaches courses in Business Intelligence, Marketing Analytics, and Business Statistics, maintaining regular office hours and dedicated time for dissertation supervision. His work provides valuable insights for businesses seeking to leverage digital technologies for competitive advantage, particularly in understanding how AI applications can transform customer interactions and business processes.

• Mental Imagery
• Visuo-Spatial Working Memory
• Clinical Psychology
• +4 more

Professor David Pearson is a cognitive psychologist at Anglia Ruskin University's School of Psychology, Sport and Sensory Science , where he holds a professorship in Cognition and Cognitive Neuroscience. He leads research within the ARU Centre for Mind and Behaviour and maintains visiting researcher positions at Trieste University (Italy) and University of Bergen (Norway). Education: PhD in Psychology, University of Aberdeen (1997) MA (Hons) in Psychology (1st), University of Edinburgh (1992) Research Focus: Pearson's work centers on three interconnected domains: (1) Mental imagery mechanisms in clinical disorders (particularly trauma-related intrusive memories), (2) Cognitive benefits of natural environments through Attention Restoration Theory, and (3) Visuo-spatial working memory processes including oculomotor control. His research bridges experimental psychology with clinical applications, examining how contextual representations modulate trauma intrusions and how natural scenes reduce cognitive load compared to urban environments. Recent work explores visual creativity, sequence-space synaesthesia, and perceptual specificity in long-term imagery. Publication Trends: His 15 most recent articles reveal increasing interdisciplinary integration between cognitive neuroscience and clinical applications. A clear trajectory emerges from basic visuo-spatial working memory mechanisms toward trauma-focused clinical interventions, with growing emphasis on environmental psychology applications. Key methodological threads include eye-tracking paradigms, analogue trauma models, and ecological validity in experimental design. Professional Recognition: Chartered Psychologist Associate Fellow of the British Psychological Society Member of the Experimental Psychology Society Associate Editor for Frontiers in Psychiatry (Mental Imagery in Clinical Disorders) Research Leadership: Pearson actively supervises PhD candidates in mental imagery, environmental psychology, and visuo-spatial cognition. He has secured over £300,000 in research funding from major bodies including ESRC, Wellcome Trust, and Nuffield Foundation. His current projects examine scene saliency in cognitive restoration and contextual modulation of trauma intrusions, while maintaining long-term collaborations with Oxford, Durham, and Scandinavian institutions. He contributes to professional governance through the BPS Research Board and Membership Standards Board.

J. Jeffrey InmanView profile

Professor

• Consumer Behavior
• Marketing
• Consumer Psychology
• +3 more

J. Jeffrey Inman is the Albert Wesley Frey Professor of Marketing at the University of Pittsburgh's Katz School of Business, where he leads the school's core research mission including strengthening research support and expanding funding sources. A past Editor-in-Chief of the Journal of Consumer Research, he has served as President of both the Society for Consumer Psychology and the Association for Consumer Research. His research centers on consumer behavior with emphases on healthy eating determinants, in-store choice dynamics, and technology's influence on consumer decisions. With over 70 publications in premier journals including Journal of Consumer Research and Journal of Marketing, his work bridges theoretical rigor and practical marketing applications. Recent studies increasingly explore digital interfaces in retail environments and health-related consumption patterns. Analysis of his publication trends reveals a strategic evolution toward technology-mediated consumer interactions, particularly examining how smartphone usage, in-store tracking, and nutritional labeling shape decision-making. His work consistently integrates psychological principles with marketing strategy across contexts ranging from sustainability to crisis response. Scientific recognition includes: MSI/H. Paul Root Award for significant contribution to marketing practice Dr. Inman actively mentors through teaching courses like Marketing Management and Data-Based Marketing Insights while contributing to university centers for Supply Chain and Healthcare Management. His leadership extends to fostering collaborative research initiatives and advancing methodological approaches in consumer behavior studies.

Petter Andreas RingenView profile

Professor

• Psychiatry
• Neuroscience
• Mental Health
• +7 more

Petter Andreas Ringen is a Professor at the Division of Mental Health and Addiction, Faculty of Medicine, University of Oslo. His research focuses on severe mental disorders, cannabis use, neurocognitive functioning, and cardiometabolic risks in psychiatric populations. Current position: Professor II, Division of Mental Health and Addiction, University of Oslo Email: p.a.ringen@medisin.uio.no Visiting address: Sognsvannsveien 21, Gaustad sykehus, Oslo Research interests span cannabis interactions with schizophrenia and bipolar disorders, violence in mental health contexts, cardiometabolic risk management, and neurocognitive assessments. Key projects include the 'Extreme Challenges' study on self-harm and the 'sTOP' initiative examining violence in severe mental disorders. 2025 publications address consciousness in psychosis and cardiometabolic health interventions. 2024 work explores violence phenomenology and hypothalamic structures in offenders. 2023 studies examine substance use mediation, clinical insight, and vocational rehabilitation. Earlier research (2005-2014) investigates cannabis effects on disorder onset, cognitive dysfunction, and medication adherence. No explicit scientific awards or student advisement details provided in the text. Contributes to major journals including Tidsskrift for Den norske legeforening, BMC Psychiatry, and Schizophrenia Research, with ongoing work in forensic psychiatry and public health implications.

• Electromagnetic fields with complex systems
• Neuromorphic computing
• Plasmonic resonators and materials
• +7 more

Matthew Arnold is an Associate Professor in the School of Mathematical and Physical Sciences at the University of Technology Sydney (UTS), where he has been employed since 2007, progressing from Lecturer to Senior Lecturer and currently Associate Professor. His academic career includes postdoctoral research at the University of Canterbury and visiting positions at the Fraunhofer Institute Jena (2001) and University of Southampton (2008). Arnold holds a PhD and BSc(Hons) from the University of Otago, New Zealand. His leadership roles at UTS include serving as Physics Discipline Leader, BSc(Physics) Program Director, and currently as HDR director and RAO for the Faculty of Science. He is also active in professional organizations, having served as Chair of the NSW Australian Institute of Physics and as a senior member of both Optica and SPIE. Arnold's research focuses on the interaction of electromagnetic fields with complex systems, spanning from modeling and design to fabrication and characterization. His primary research areas include neuromorphic computing using percolating networks of nanoparticles, plasmonic resonators and materials, self-assembled metamaterials, and opto-thermal coatings for energy applications. His work bridges fundamental physics with practical applications in building technologies, solar energy, and next-generation computing architectures. His recent publications demonstrate a strong trend toward neuromorphic and brain-inspired computing systems, particularly exploring the computational capabilities of self-assembled nanoscale networks. These works investigate how the intrinsic physical properties of nanomaterials can be harnessed for energy-efficient information processing, with applications in random number generation, Boolean operations, and image classification. His research also maintains a strong focus on practical optical applications, including high-temperature polarizers and spectrally selective solar absorbers. AIP NSW Branch Service Award (2024) UTS MAPS: Individual Teaching Award (2023) STANSW Dedicated Service Award (2019) Arnold is deeply committed to mentoring the next generation of scientists, having successfully guided research students at all levels from internship to PhD. His teaching philosophy emphasizes engaging students in experiences that develop practical skills and deep insight, which has been recognized with teaching awards. He has secured significant research funding through ARC Linkage Infrastructure grants and numerous industry collaborations, particularly with building industry partners on glazing and facade performance. His current funded projects include advanced deposition systems for superconducting circuits and solar-thermal performance evaluations. Arnold leads research activities centered around experimental and computational investigations of nanoscale systems, with particular expertise in physical vapor deposition, optical characterization techniques, and computational modeling of complex electromagnetic systems. His work connects fundamental physics with real-world applications through strong industry partnerships and interdisciplinary collaborations across physics, materials science, and engineering disciplines.

• Artificial Intelligence
• Big Data Analytics
• Bioinformatics
• +21 more

Dr. Mahakim Newton is a Lecturer in Data Science at the University of Newcastle, Australia, and an Adjunct Senior Research Fellow at Griffith University’s Institute for Integrated and Intelligent Systems. He holds a PhD in Computer and Information Sciences from the University of Strathclyde, alongside degrees from Bangladesh University of Engineering and Technology (BUET). His research focuses on artificial intelligence, machine learning, bioinformatics, and computer education, with notable contributions to protein structure prediction and IoT interoperability. Education: Ph.D., University of Strathclyde M.Sc.Engg., Bangladesh University of Engineering and Technology B.Sc.Engg., Bangladesh University of Engineering and Technology Research Interests: Dr. Newton’s work bridges AI and computational biology, including protein-ligand binding affinity prediction, bioinformatics algorithms, and IoT edge networks. He explores machine learning techniques for environmental informatics and drug discovery, emphasizing scalable solutions for complex problems. Teaching: He coordinates courses like Computing Project , Algorithms , and Deterministic and Stochastic Optimisation at the University of Newcastle, integrating practical and theoretical insights. Grants and Labs: Involved in interdisciplinary projects on water quality prediction and edge computing interoperability. His collaborations span academic and industrial partners, advancing applications in healthcare and environmental monitoring.