جست‌وجوی استاد و پژوهشگر

• Cognitive Psychology
• Decision Making
• Neural Modeling
• +۳ مورد دیگر

Tobias Grage is a Researcher affiliated with the Department of Psychology at Technische Universität Dresden, within the Faculty of Science. His work is conducted at the Institute of General Psychology, Biopsychology and Methods of Psychology. Grage holds a Diploma in Psychology from TU Dresden (2014) and completed his PhD there since May 2015 under the supervision of Jun.-Prof. Dr. Stefan Scherbaum. He previously earned a degree in Cognitive Science from Osnabrück University (2006-2008). His research focuses on control dilemmas, specifically investigating the interplay between shielding and shifting control functions. He employs dynamic neural field models alongside empirical measures like mouse tracking to identify meta-control parameters governing decision-making dynamics. Grage has contributed to subproject A8 and has held roles such as research assistant under Dr. Stefan Scherbaum and Dr. Matthias Rudolf, as well as tutoring in cognitive neuropsychology and statistics at Osnabrück University. His publications emphasize methodological rigor in mouse-tracking studies, exploring how design factors influence behavioral and cognitive inferences. Grage’s work bridges cognitive psychology, neuroscience, and empirical methodology, addressing both theoretical and applied aspects of decision processes and neural dynamics.

Meng Huoمشاهده پروفایل

استادیار

• Gerontology
• Empathy
• Altruism
• +۳ مورد دیگر

Dr. Meng Huo is an Assistant Professor in the Department of Human Development & Family Studies at the University of California, Davis. Her research focuses on how older adults' helping behaviors contribute to resilience and successful aging, with a particular emphasis on empathy in late life. She employs diverse methodologies including self-report data, biomarkers, geocoded data, and observational assessments. Education: Ph.D., Human Development and Family Sciences (Aging and Health focus), University of Texas at Austin (2019) B.S., Psychology, Beijing Normal University (2014) Research Focus: Dr. Huo examines empathy's role in social interactions and mental health among older adults, exploring how volunteering and social relationships buffer against age-related declines. Her work highlights the interplay between caregiving, stress, and physiological markers like cortisol patterns. Key themes include intergenerational support dynamics, dyadic relationships in dementia care, and the psychological consequences of bereavement. Grants & Advising: She actively mentors undergraduate and graduate students interested in aging research and runs the SHARE Lab. While specific grant details are not provided, her publications suggest sustained funding for large-scale longitudinal studies. Labs/Teams: Dr. Huo directs the SHARE Lab , which investigates social relationships across the lifespan using daily diary methods and ecological momentary assessments.

Abrar Chaudhuryمشاهده پروفایل

پژوهشگر ارشد

• Climate Change and Finance
• Sustainable Development
• Organizational Theory and Change
• +۷ مورد دیگر

Abrar Chaudhury is a Senior Research Fellow at the Saïd Business School, University of Oxford, and a Senior Researcher at the Environmental Change Institute (ECI). He holds a prestigious three-year British Academy Fellowship, investigating climate finance and technology impacts in emerging economies like Pakistan. His work bridges environmental management, corporate strategy, and policy implementation. He is also a Fellow of Green Templeton College and a Fellow Chartered Accountant (FCA). Dr. Chaudhury’s research focuses on global climate finance mechanisms, climate adaptation policies, and corporate purpose in turbulent economies. His interdisciplinary approach combines social network analysis, participatory methods, and policy analysis. Key projects include collaborations with EY Global on corporate transformation, World Bank-funded studies on Climate Smart Agriculture in Pakistan, and CGIAR’s CCAFS program on food system resilience. His teaching spans Oxford’s MBA, EMBA, and Executive Education programs, where he covers global challenges, sustainability governance, and futures thinking. He advises the Oxford 1+1 MBA Programme and leads workshops on governance and environment in emerging economies. Chaudhury’s work emphasizes translating research into practice, partnering with governments, NGOs, and the private sector. His articles highlight systemic challenges in climate finance, adaptive agriculture, and the role of technology in climate action. He has been recognized with the Academy of Management’s Best Dissertation Award (2017) for his doctoral research on climate adaptation policy in Ghana, Nepal, and Pakistan. Before academia, he was a partner in a leading Pakistani accounting firm, leveraging this experience to integrate financial and management accounting insights into climate policy analysis.

Guang Chengمشاهده پروفایل

استاد

• Generative Data Science
• Trustworthy AI
• Machine Learning Theory
• +۵ مورد دیگر

Guang Cheng is a Full Professor of Statistics and Data Science at the University of California, Los Angeles (UCLA), and serves as the Graduate Vice Chair. He leads the Trustworthy AI Lab, focusing on generative data science, privacy-preserving synthetic data, and the theoretical foundations of machine learning. His research explores generative AI, trustworthy synthetic data, and high-dimensional statistics. Education : Ph.D. in Statistics, University of Wisconsin-Madison (2003-2006) B.A. in Economics, Tsinghua University (1998-2002) Research Interests : Generative Data Science, trustworthy AI, machine/deep learning theory, privacy-preserving techniques, high-dimensional statistics, and business intelligence applications in finance, healthcare, and marketing. His lab develops tools like artificially generated tables for privacy-preserving data sharing. Publications : Recent work includes advancements in generative models (e.g., TimeAutoDiff, MissDiff), fair classification algorithms, and theoretical analyses of deep learning (e.g., attention mechanisms, minimax analysis). Key themes include synthetic data utility/privacy trade-offs and adversarial robustness. Awards : IMS Fellow (2020), Adobe Data Science Award (2020), NSF CAREER Award (2012). Advising & Grants : Supervises PhD/Master’s/postdoc researchers in trustworthy AI and generative data science. Alumni hold roles at Meta, Amazon, and academia. Active in editorial roles for JASA - Theory & Methods and Canadian Journal of Statistics . Labs & Teams : Leads the Trustworthy AI Lab at UCLA, organizing workshops on synthetic data in finance and healthcare. Collaborates with Amazon as an Amazon Scholar.

• Sports Science
• Exercise Physiology
• Athlete Performance
• +۴ مورد دیگر

Dr. Shane Ball is a Lecturer in the Discipline of Exercise and Sport Science at the School of Health Sciences, Faculty of Medicine and Health, University of Sydney. He completed his PhD in 2020 at the University of Sydney, focusing on movement demands and injury characteristics in university rugby union players. His current role includes leading Strength and Conditioning units and serving on the SPARTAN Network leadership Group for high-performance sport research collaboration. His educational background includes: PhD in Health Sciences, University of Sydney (2020) Shane's research centers on athlete performance , training load , and university athletes , with emphasis on physiological monitoring and injury prevention. His work investigates rugby union biomechanics, cricket performance metrics, and environmental impacts on athlete physiology. Key methodologies include longitudinal tracking, systematic reviews, and meta-analyses to optimize training protocols and reduce injury incidence in student-athletes. Publication trends reveal concentrated expertise in rugby epidemiology, with recurring themes of movement analysis, workload-injury relationships, and gender-specific performance metrics. His research bridges academic theory with practical strength and conditioning applications across multiple team sports. His notable recognition includes: SSHS teaching award (2022) for 'Fostering a sense of belonging and motivating students to learn' in EXSS1040 Introduction to Strength and Conditioning As academic coordinator for EXSS1040, EXSS2037, and EXSS2039 units, Shane developed curriculum integrating evidence-based practice with hands-on coaching. His 2022-2024 role as Health Professions Education Lead shaped departmental teaching strategy. Current research projects examining sleep patterns in athletes, cricket biomechanics, and rugby hydration dynamics indicate ongoing funding through university research channels despite no explicitly named grants. Shane co-leads the SPARTAN Network connecting academic researchers with sports coaches, while maintaining Professional Level 2 accreditation with the Australian Strength and Conditioning Association (ASCA) for applied fieldwork with developing to elite athletes.

Steve Goodmanمشاهده پروفایل

استاد

• Meta-research
• Research reproducibility
• Clinical trial methodology
• +۵ مورد دیگر

Steve Goodman is a Professor of Epidemiology and Population Health and Medicine at Stanford University, serving as Associate Dean of Clinical and Translational Research. He co-founded and co-directs the Meta-research Innovation Center at Stanford (METRICS) and leads the Stanford Program on Research Rigor and Reproducibility (SPORR). His work focuses on improving research methodology, reproducibility, and evidence synthesis, particularly in clinical trials and biomedical research. Goodman has held leadership roles in editorial boards, including Annals of Internal Medicine and Clinical Trials , and chairs the Methodology Committee at PCORI. Education: AB in Biochemistry and Applied Math (Harvard), MD (NYU), Pediatrics residency (Washington University), MHS in Biostatistics and PhD in Epidemiology (Johns Hopkins). Former faculty at Johns Hopkins from 1989-2011, where he directed the Division of Biostatistics and Bioinformatics. Research interests include meta-research, Bayesian methods, clinical trial reporting standards (CONSORT/SPIRIT guidelines), and educational initiatives to promote rigorous scientific practices. His articles emphasize reproducibility, transparency, and methodological improvements in biomedical research. Awards: 2016 Spinoza Chair in Medicine, 2019 Abraham Lilienfeld Award, National Academy of Medicine (2020) Grants/Initiatives: CTSA KL2/TL1 training programs, SPORR curriculum development Labs/Teams: METRICS, SPORR, and collaborations in global research integrity networks

Stefanie Schreiterمشاهده پروفایل

مدرس ارشد

• Health Services Research
• Digital Psychiatry
• Bipolar Disorders
• +۳ مورد دیگر

PD Dr. med. Stefanie Schreiter is a Senior Physician and academic leader at Charité – Universitätsmedizin Berlin, holding positions as Head of the Prevention and Therapy Center for Bipolar Disorders and Head of research groups focused on Mental Health Care Research for Vulnerable Groups and Digital Psychiatry. She leads the Research Network Homelessness and Health, investigating health service models for marginalized populations including homeless individuals and refugees. Her work spans digital interventions, psychotherapeutic strategies, and pharmacogenetic studies of clozapine in psychotic disorders. Key projects include the WOHIN-Study (homelessness among psychiatric patients) and the BipoLife A3 smartphone-based monitoring system. She is active in the Berlin Institute of Health and contributes to interdisciplinary research addressing social cohesion challenges. Her research interests emphasize translational approaches to mental health disparities, including clozapine's clinical and genetic aspects in psychosis treatment. She oversees projects analyzing homelessness trajectories, ethical issues in poverty-related mental illness, and trauma-informed care strategies. Recent work explores mobile health technologies for equitable mental health access and the impact of socioeconomic factors on psychiatric outcomes. Key roles: Senior Physician, Research Group Leader, Academic Educator Core focus areas: Vulnerable populations, digital health, bipolar disorder therapeutics Dr. Schreiter collaborates internationally through projects like the CLOZIN multicenter study and has published extensively on homelessness-mental health intersections, with over 40 peer-reviewed articles.

Ronny Baierlمشاهده پروفایل

استاد

• Innovation Management
• Entrepreneurship
• Decision Making
• +۴ مورد دیگر

Prof. Ronny Baierl serves as Professor of Key Qualifications at Dresden University of Applied Sciences' Faculty of Business Administration since 2017, concurrently holding roles as Chairman of the Examination Board and supervisor for university cooperation with New Uzbekistan University. Previously, he was Professor of Business Administration at SRH University of Applied Sciences Berlin (2013-2017) and held positions at University of St. Gallen and WHU - Otto Beisheim School of Management, with practical experience in management consultancies and automotive sector. His research centers on innovation-oriented management and entrepreneurial thinking, with specific expertise in entrepreneurship education (particularly digital environments), service management, team composition dynamics, and competence development frameworks. He investigates social interaction's impact on entrepreneurial intentions among hearing-impaired populations and analyzes coopetition dynamics in corporate venture capital. Publication analysis reveals consistent focus on social/inclusive entrepreneurship with recurring emphasis on deaf/hard-of-hearing communities. His work integrates entrepreneurial team decision-making studies with network attribute analysis in corporate innovation contexts, frequently employing conjoint analysis and meta-study methodologies across interdisciplinary boundaries. Scientific Awards : No awards or fellowships were specified in available documentation. Advising and Grants Thesis Supervision : Actively guides bachelor's/master's theses on innovation management, business development, and competence frameworks with empirical survey requirements for advanced work Student Support System : Enforces strict timelines including 24-hour email responses, two-week recommendation preparation, and four-week paper corrections Project Leadership : Directed Center for Interdisciplinary Education (2017-2025) and managed Convictus UG consultancy (2016-2025), indicating substantial project funding oversight Labs and Teams : Former director of Dresden University's Center for Interdisciplinary Education (2017-2025) and SRH Berlin's Institute for Service Management (2016-2018), with active international collaborations including New Uzbekistan University and Sapienza University of Rome.

Ashish Guptaمشاهده پروفایل

استاد

• Deep Learning
• Machine Learning
• AI
• +۲ مورد دیگر

Ashish Gupta holds the Globe Life Professor title in the Department of Business Analytics & Information Systems at Auburn University and serves as an Adjunct Professor in the Department of Computer Science and Software Engineering. His research focuses on Deep Learning, Machine Learning, AI, Natural Language Processing, and Social Network Analytics. Education: Ph.D. in Management Science and Information Systems from Oklahoma State University. Research trends in his articles emphasize AI-driven solutions for misinformation detection, healthcare analytics, smart grids, and educational pedagogy. Notable themes include real-time fake news detection, pandemic impact studies, and predictive modeling in healthcare and agriculture. No scientific awards or grants are explicitly listed. He advises no formally listed students. His work integrates computational methods with societal challenges, particularly in healthcare, education, and agriculture. Collaborations span interdisciplinary domains, though specific lab affiliations are not mentioned.

Ramy Elmoazenمشاهده پروفایل

پژوهشگر

• Learning Analytics
• Educational Technology
• Collaborative Learning
• +۳ مورد دیگر

Ramy Elmoazen is a Postdoctoral Researcher at the School of Computing, University of Eastern Finland (UEF), within the Faculty of Science, Forestry and Technology. His research focuses on learning analytics, educational technology, and collaborative learning, with a particular emphasis on temporal and social dimensions in collaborative environments. He leads and contributes to projects like BalticSeaBioMed, IGLUE (game-based learning using escape rooms), and Maker & STEM Education initiatives. His work bridges theoretical frameworks like epistemic network analysis (ENA) with practical applications in online education and biomedical learning. Key projects include evaluating technology-enhanced learning in laboratories, exploring barriers and opportunities in STEM education, and advancing methods for capturing student interactions through learning analytics. His doctoral dissertation (2024) emphasized using learning analytics to study social and temporal aspects of collaborative learning. Elmoazen’s interdisciplinary approach integrates quantitative methods, systematic reviews, and educational design, contributing to both academic and applied contexts. He has collaborated on studies ranging from clinical trials in dentistry to large-scale reviews of ENA applications, showcasing his versatility across health education and technology-driven pedagogy. His research highlights the importance of scalable analytics tools and evidence-based practices in modern educational settings.

• Psychosis
• Childhood Trauma
• Mental Health Interventions
• +۴ مورد دیگر

Dr. Amanda Woodrow is a Research Fellow at Edinburgh Napier University's School of Health and Social Care, specializing in mental health research with a focus on psychosis, trauma, and decision-making impairments. Her work investigates causal pathways between childhood trauma and psychosis, alongside developing interventions to address symptoms in clinical settings. She holds a PhD from Edinburgh Napier University (2021) and has contributed to multi-site trials such as DEC:IDES and PICASSO, funded by the Chief Scientists Office. These projects involved collaborations with NHS regions and universities including Glasgow, Lancaster, and Manchester. Her research interests include complex PTSD in psychotic populations, emotion regulation, and thought disorder. She has published on decision-making deficits in psychosis and mental health interventions for justice-involved women. Dr. Woodrow is also a core researcher in the Scottish COVID-19 Public Inquiry, analyzing pandemic impacts on adult and child social care systems. Current and past projects include supervising doctoral candidates exploring implicit self-esteem's role in paranoia and cultural influences on first responders' psychological well-being. She actively participates in the Centre for Mental Health Practice, Policy and Law Research group.

• Deep Learning
• Artificial Intelligence
• Graph Neural Networks
• +۳ مورد دیگر

Dr. Hua Mao is an Assistant Professor in Computer and Information Sciences at Northumbria University, holding a PhD in Computing Science from Aalborg University. Previously served as Associate Professor at Sichuan University, China. Research Focus: Specializes in deep learning and artificial intelligence with applications spanning graph representation, multiview clustering, and explainable AI systems. Recent work advances techniques for processing incomplete data and invariant representation learning. Publication Trends: Her 45+ research outputs demonstrate consistent innovation in machine learning fundamentals, particularly graph-based algorithms and interpretable models. Recent articles focus on explainability frameworks and adaptive learning techniques for complex data structures including IP analytics and flood mapping applications.

Matthias Fuchsمشاهده پروفایل

استاد

• Sustainable Tourism
• Big Data Analytics
• Circular Economy
• +۴ مورد دیگر

Matthias Fuchs is a tenured full professor at the Faculty of Economics and Management, Free University of Bozen-Bolzano. His research focuses on sustainable tourism, big data analytics, circular economy frameworks, and strategic management in tourism destinations. He teaches courses such as M-1 Strategic Management and is actively involved in curriculum development for e-tourism and business intelligence. His work integrates quantitative methods like clustering algorithms (e.g., k-Means, DBSCAN) with qualitative analyses to address tourism challenges. Key research areas include real-time tourism monitoring via Google Maps data, socio-economic impact assessments of tourism, and post-Cartesian ontologies challenging conventional economic paradigms. He explores creativity's role in fostering innovative regions through network science and Buddhist philosophy-influenced frameworks. Publications span topics from cultural tourism sustainability in Sweden to the application of convolutional neural networks for Instagram analysis. Despite no explicit awards listed, his contributions to e-tourism curricula and big data methodologies reflect significant scholarly influence. Fuchs advocates for transformative science to align tourism with UN Sustainable Development Goals, emphasizing ethical leadership and justice-oriented socio-economic policies. Teaching responsibilities include guiding students in tourism management, strategic leadership, and destination marketing. His interdisciplinary approach bridges business intelligence, environmental science, and philosophy to address contemporary tourism challenges.

Qianru Sunمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Machine Learning
• Image Generation
• +۳ مورد دیگر

Qianru Sun is a Joint Research Fellow jointly appointed at National University of Singapore (NUS) and the Max Planck Institute for Informatics (MPI-INF) since April 2018. Previously she was a Post-doc Researcher at MPI-INF (2016–2018) supported by the prestigious Lise Meitner Award Fellowship. Education: Ph.D. in Computer Science, Peking University (PKU), 2010–2016 (top 10%) B.S. in Electronic Engineering, Nanjing University of Posts and Telecommunications (NUPT), 2006–2010 (rank 1/77) Exchange student, The University of Tokyo, Oct 2014 – Jan 2015 Research Interests: Dr Sun’s research lies at the intersection of computer vision and machine learning , with a strong focus on few-shot learning , meta-learning , transfer learning , image generation and image classification . She designs algorithms that enable machines to learn new visual concepts with minimal supervision, explores adversarial robustness, and develops transferable representations for cross-domain tasks. Scientific Awards & Honors: Lise Meitner Award Fellowship, Max Planck Institute for Informatics (2016) Professional Service & Community Contributions: Dr Sun actively contributes to the research community through program-committee memberships and editorial roles: Program Committee: ICCV 2019, CVPR 2018, ICCV 2017 Workshop PC: CV-COPS (CVPR 2018), CEFRL (ECCV 2018), WiCV (CVPR 2019, ECCV 2018) Editorial Board: CAAI Transactions on Intelligence Technology Reviewer: IEEE TPAMI, TMM, TCSVT, IJCV Invited speaker: Columbia University (DVMM), CVPR ODAR Workshop, Joint Lecture Series (MPI & Saarland University) Tutorial presenter: ICMR 2018 (Japan)

Mathias Czaikaمشاهده پروفایل

استاد

• International Migration
• Globalization
• Migration Policy
• +۴ مورد دیگر

Mathias Czaika is a University Professor in Migration and Integration and Head of the Department for Migration and Globalisation at the University for Continuing Education Krems, Austria. He coordinates the PhD Programme in Migration Studies and has previously directed the International Migration Institute at Oxford University. His research focuses on international migration drivers, policy impacts, globalization, and development implications. Education: Master’s in Economics from the University of Konstanz, PhD in Political Economy from the University of Freiburg. He has advised national and international bodies like the EU, DfID, and the Swedish Migration Agency. Research interests include migration policy formulation, asylum systems, skilled migration, and involuntary immobility’s development impacts. Key projects include 'Valuing Open Source Intelligence' (ÖAW-funded) and 'Development implications of involuntary immobility in Africa' (FWF-funded). He leads initiatives on migration scenarios, diaspora engagement, and integration policies. Grants and funding include EU Horizon 2020, FWF, and national grants. Notable publications address migration governance, diaspora organizations, and climate change effects on mobility. His work bridges academic research with policy through dialogues between science, politics, and practice.