جست‌وجوی استاد و پژوهشگر

• Educational Technology
• Artificial Intelligence in Education
• Teacher Professional Development
• +۳ مورد دیگر

Prof. Kira Weber is an Assistant Professor at the University of Hamburg 's Faculty of Education . Her research focuses on AI-driven feedback systems in education, teacher professional development, classroom management, and educational technology adoption. She leads studies analyzing the impact of prompt engineering on AI feedback quality and investigates how teacher educators' AI literacy influences pedagogical practices. Her work bridges educational psychology with technological innovation, emphasizing video-based interventions and peer feedback mechanisms. Her research explores topics such as the role of self-efficacy beliefs in AI tool adoption among student teachers, the effects of expert feedback on pre-service teachers' competencies, and the influence of socioeconomic factors on teacher professional development needs. She has published extensively on professional vision measurement, reflective practice in teacher training, and digital tools for feedback quality enhancement. Recent studies include analyses of LLMs in educational feedback (2025), mixed-methods investigations of teacher educators' AI literacy (2024), and longitudinal studies on peer feedback expertise development (2022–2023). Her work consistently emphasizes practical applications of research in teacher training programs and classroom settings. Prof. Weber's academic contributions span over 30 peer-reviewed articles since 2017, covering domains from self-concept measurement in primary education to cutting-edge AI applications. She is affiliated with the University of Hamburg's Faculty of Education , contributing to both research and pedagogical innovation.

Morten Hviidمشاهده پروفایل

استاد

• Competition Law
• Industrial Economics
• Tort Law
• +۲ مورد دیگر

Morten Hviid is a Professor of Law at the University of East Anglia (UEA) School of Law, specializing in competition law, tort law, contract law, and the economic analysis of legal systems. He joined UEA in 2004 after holding economics positions at the University of Copenhagen, University of Warwick, and UEA's School of Economic and Social Studies. A founding member and former Director (2011-2018) of the Centre for Competition Policy, he contributes to the Centre for Business Research at Cambridge University, UK Intellectual Property Office advisory groups, and Ofgem's academic panel. Biography: Holds MA and PhD in Economics from Warwick, economic degree from Aarhus University, and has been a visiting scholar at Yale, UC Berkeley, University of Michigan, and Copenhagen. Editorial Roles: Former editor of the Journal of Industrial Economics and associate editor of the International Journal of Industrial Organization. Former EARIE Executive Committee member. Research Focus: Applies economic principles and game theory to competition law, tort, and contract law. Current projects examine policy arguments in tort cases, non-compensatory damages in contract law, collusive practices, and digitalization impacts in creative industries. Funded by Danish Social Science Research Council, ESRC, AHRC, Ofcom, Ofgem, and OECD. Publications: Appear in journals like Economic Journal, European Competition Journal, Journal of Law and Economics, and Oxford Journal of Legal Studies. Recurring themes include competition policy implementation, pricing dynamics, and algorithmic market impacts. Teaching: Leads undergraduate LLB modules on Tort and The Economic Approach to Law. Previously taught UK Competition Law, Regulation of Network Industries, and research seminars. Extensive experience supervising over 35 doctoral students. External Collaborations: Engaged in consultancy projects with Anglian Water, Korean Government Fellowship, and policy responses for UK regulatory bodies like CMA, Financial Conduct Authority, and BEIS.

Sabirat Rubyaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Health Informatics
• +۳ مورد دیگر

Dr. Sabirat Rubya is an Assistant Professor in the Department of Computer Science at Marquette University, co-directing the Social and Ethical Computing Lab. Her research focuses on designing mobile health technologies for vulnerable populations at risk of mental health disorders, emphasizing human-centered computing and health informatics. Education: BSc in Computer Science from Bangladesh University of Engineering and Technology (BUET), PhD in Computer Science from the University of Minnesota. Research Interests: Human-Computer Interaction, Social Computing, Health Informatics, and Human-Aided Machine Learning. She explores technologies supporting marginalized communities through participatory design and mixed-method approaches. Publications highlight user-centric evaluations of mental health apps, predictive analytics for veteran crises, and community-based data validation in recovery contexts. Recent work includes a grant from Advancing a Healthier Wisconsin Endowment to commercialize a veteran support app (as co-Investigator). Service: Served as CHI 2021 Late-Breaking Work Program Committee member, PC member for CHI 2022, and Web Co-Chair for CSCW 2023. Holds leadership roles in HCI conferences and lab co-direction. Labs/Teams: Co-directs the Social & Ethical Computing Lab at Marquette, focusing on ethical tech design and health equity.

Yael Bennمشاهده پروفایل

مدرس ارشد

• Numerical Cognition
• Cognitive Neuroscience
• Social Psychology
• +۲ مورد دیگر

Dr. Yael Benn is a Senior Lecturer and Equality, Diversity & Inclusion co-lead at Manchester Metropolitan University. Her research bridges cognitive neuroscience, social psychology, and clinical applications, focusing on numerical cognition, information processing, and digital behavior change interventions. She holds a BSc in Computer Science from the University of Strathclyde and a PhD in Cognitive Neuroscience from the University of Sheffield. Benn's work examines how numerical information processing affects decision-making and health behaviors, with projects including smart algorithms for behavior monitoring, numerical deficits after brain injury, and digital food environments. She serves on editorial boards for Scientific Reports and Frontiers in Neuroscience , and holds memberships in the Mathematical Cognition Society and British Association of Cognitive Neuroscience. Her teaching spans cognitive psychology, educational psychology, and neurocognitive development. Benn actively promotes public engagement as a STEM Ambassador and contributes to policy discussions on technology ethics and health numeracy.

• Neuromuscular Control
• Biomechanics
• Motor Control
• +۵ مورد دیگر

Professor Ian Loram is a leading academic in neuromuscular control and human movement science at Manchester Metropolitan University's Institute for Biomedical Research into Human Movement and Health (IRM). He holds roles as Academic Director of IRM and Academic Lead of the Biomechanics and Motor Control Research Group. His research focuses on sensorimotor control, postural stability, and applications of deep learning in medical imaging. Key contributions include studies on neuromuscular disorders, balance control mechanisms, and automated analysis of muscle function using ultrasound and neural networks. Education: PhD from University of Birmingham (2003) Awards: Leverhulme Early Career Fellowship (2004-2005) Grants: EPSRC Grants EP/F068514/1, EP/F069022/1, and EP/F06974X/1 ("Intermittent Control of Man and Machine") His research interests span neuromuscular control, biomechanics, postural dynamics, and clinical applications of imaging technologies . Recent work emphasizes automated analysis of muscle structure via ultrasound and deep learning, with clinical relevance to conditions like spinal muscular atrophy and cervical dystonia. Publications highlight interdisciplinary approaches, integrating control theory, neurophysiology, and computational methods to understand human movement. His lab develops tools for objective assessment of trunk control in children with cerebral palsy and explores the role of intermittent control in motor learning and balance. Labs/Teams: Biomechanics and Motor Control Research Group Healthcare Science Research Institute

Ashley D'Antonioمشاهده پروفایل

دانشیار

• Recreation Ecology
• Sustainable Recreation and Tourism
• Human Dimensions of Natural Resources
• +۲ مورد دیگر

Ashley D'Antonio is an Associate Professor and Associate Department Head in the Forest Ecosystems & Society department at Oregon State University's College of Forestry. Her research integrates recreation ecology, visitor behavior analysis, and protected area management using spatial methods like GPS tracking and social science approaches. Education includes a Ph.D. and M.S. in Human Dimensions of Ecosystem Science from Utah State University and a B.S. in Biology from Pennsylvania State University. Research focuses on sustainable recreation, human-environment interactions in parks, and visitor impact mitigation. Recent work examines weather impacts on visitation, trail degradation prediction, and pandemic effects on outdoor recreation behavior. Publications consistently address visitor movement modeling, recreation ecology, and protected area management using geospatial technologies. Trends show growing emphasis on machine learning applications, pandemic-related behavioral shifts, and interdisciplinary approaches combining ecological and social science methods. Advises graduate student Danielle Berger and teaches courses including Outdoor Recreation Management, Parks and Protected Area Management, and Sustainable Recreation Planning.

Sinéad Smythمشاهده پروفایل

دانشیار

• Health Psychology
• Educational Psychology
• Neurodiversity
• +۵ مورد دیگر

Dr. Sinéad Smyth is an Associate Professor and Head of the School of Psychology at Dublin City University . She holds a BA and PhD in Psychology, a Postgraduate Diploma in Sleep Medicine, and a Postgraduate Certificate in Higher Education Practice, and is a Senior Fellow of the Higher Education Academy (SFHEA). As Chair of the MSc in Psychology and Wellbeing, she integrates behavioral science into educational frameworks. BA in Psychology PhD in Psychology Postgraduate Diploma in Sleep Medicine Postgraduate Certificate in Higher Education Practice Her research bridges health psychology , educational contexts , and neurodiversity , with a focus on: Sleep health in clinical and non-clinical populations Inclusive education for neurodivergent individuals (ADHD, Autism) Behavioral interventions using gamification and mindfulness Adverse Childhood Experiences (ACEs) and their mitigation Assistive technology for autistic communities Recent publications highlight her work in sleep science , neurodiverse support systems , and game-based behavior change . She has contributed to systematic reviews on group contingency interventions and psychological flexibility, while her applied work includes tools like the LifeSeeker retrieval system. Awards include being shortlisted for the Irish Software Association’s Outstanding Academic Achievement in 2015. She collaborates on grants involving autism resource development and educational technology , and her teaching portfolio includes modules on experimental behavior analysis and neurodivergent support .

Karthik Srinivasanمشاهده پروفایل

استادیار

• Machine Learning Interpretability
• Explanatory Modeling
• Text Mining for Business Applications
• +۳ مورد دیگر

Karthik Srinivasan is an Assistant Professor in the Analytics, Information, and Operations Academic Area at the University of Kansas School of Business. He holds a Ph.D. in Management Information Systems from the University of Arizona, an M.Mgt. in Business Analytics from the Indian Institute of Science, and a B.E. from Mumbai University. His research focuses on interpretable machine learning, explanatory modeling, text mining for business applications, and healthcare information systems. He develops methods to enhance transparency in AI systems and applies data science to healthcare, finance, and retail contexts. Recent work includes predictive modeling for incomplete data, graph-based retail analytics, and analyzing pandemic impacts on stock markets and public health. His publications span journals like MIS Quarterly, Decision Support Systems, and Nature Digital Medicine. He also contributes open-source tools like TextRegress and MoreThanSentiments for advanced text analysis. Teaching responsibilities include undergraduate and graduate-level data management courses. His research emphasizes practical applications in business and public health, leveraging interdisciplinary approaches to address real-world challenges.

Andrew McCarrenمشاهده پروفایل

دانشیار

• Data Analytics
• Fintech
• Agriculture (Agtech)
• +۴ مورد دیگر

Dr. Andrew McCarren is an Associate Professor and Head of the School of Computing at Dublin City University (DCU). He holds a PhD and BSc from DCU and is a funded investigator in the Insight Centre for Data Analytics. His research focuses on applying data analytics to Fintech, Agriculture, Health, and Sports Performance. As a former industry professional with 20+ years experience in Agri, Engineering, and Pharmaceuticals, he bridges academic and industrial collaboration. Professional Affiliations: Fellow of Royal Statistical Society and Advance HE Key Roles: PI on SFI/EI projects, Visiting Professor at Princess Nourah bint Abdulrahman University Research spans software engineering (microservices architecture), health informatics (exercise interventions), and agri-tech (automated food processing). Over 100 publications across data science, sports analytics, and engineering.

• Gastroenterology
• Epidemiology
• Cardiovascular Health
• +۳ مورد دیگر

Shrikant Bangdiwala , Professor at McMaster University 's Faculty of Health Sciences in the Department of Health Research Methods, Evidence, and Impact , leads groundbreaking research in disorders of gut-brain interaction, cardiovascular epidemiology, and statistical methodology. 2025 Research Focus: Gut-brain disorder subtyping, dietary pattern analysis, and machine learning applications in clinical trials 2024 Innovations: Development of GROOVE tool for symptom overlap visualization and exposome-DNA damage correlation studies Longitudinal Impact: 20+ years tracking GI comorbidities, cardiovascular outcomes, and educational interventions Research Clusters Gut-Brain Disorders: Prevalence modeling across 26+ countries, symptom stratification, and psychological comorbidities Cardiovascular: Mortality prediction models, antithrombotic risk assessment, and ACE-inhibitor effectiveness Epidemiological Innovation: Hybrid trial adjudication systems, statistical frameworks for complex interventions, and exposome analysis tools Methodological Expertise Specializes in biostatistical frameworks for cardiovascular trials, machine learning detection of trial irregularities, and epidemiological modeling of gut-brain disorders through the Rome Foundation Global Epidemiology Study.

Chao Liمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence in Healthcare
• Medical Imaging
• Precision Medicine
• +۳ مورد دیگر

Chao Li is a Principal Research Fellow at the University of Cambridge's Faculty of Mathematics, specializing in AI-driven healthcare solutions. His research focuses on precision medicine through image-based AI and multi-omics integration, with applications in neurological disease modeling, surgical oncology, and clinical AI safety. He leads the Centre for Mathematical Imaging in Healthcare , advancing translational AI for personalized medicine. Research Themes: Image-based AI for precision mental health AI in surgical and interventional oncology Multi-omics approaches for disease characterization Evaluation of AI innovations for clinical translation Publications highlight advancements in multimodal fusion for diagnostics, histology-molecular marker integration, and neuroimaging analytics for mental health. His work bridges computational mathematics with clinical challenges, emphasizing real-world healthcare impact. Labs/Teams: Active member of the Centre for Mathematical Imaging in Healthcare , collaborating across departments to develop AI tools for clinical deployment.

• AI & Neuroscience
• Biomedical Engineering
• Neurotechnology
• +۷ مورد دیگر

Aldo Faisal is a Professor of AI & Neuroscience at Imperial College London's Department of Bioengineering and Faculty of Engineering. He is also the Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare (£20M), leading the Faisal Lab. His roles include associate investigator at the MRC London Institute of Medical Sciences and affiliation with the Gatsby Computational Neuroscience Unit (UCL). His research bridges AI, neuroscience, and healthcare, focusing on neurotechnology, human behavior analysis, and clinical applications. Education: Studied Computer Science and Physics in Germany, followed by Biology at the University of Cambridge (Emmanuel College). Earned a PhD in Neuroscience under Simon Laughlin, and postdoctoral work with Daniel Wolpert on sensorimotor control. Prior professional experience includes roles at McKinsey & Co. and Credit Suisse. Research Interests: Combines cross-disciplinary approaches to study brain-behavior relationships, developing technologies for neurological disorders and amputees. Key labs include the Brain & Behaviour Lab (neurotechnology) and Behaviour Analytics Lab (behavioral data science). Techniques include machine learning, robotics, and neuroimaging (EEG/fNIRS). Publications: Over 100+ peer-reviewed articles, spanning AI in healthcare, motor learning, and neurotechnology. Recent work emphasizes safety of AI in critical care, wearable biomarkers for neuromuscular diseases, and human-AI collaboration. Awards: UKRI Turing AI Fellowship, Toyota Mobility Prize ($50k), Rosetree Interdisciplinary Award (£300k), and fellowships from German National Merit Foundation and Böhringer-Ingelheim Foundation. Elected to Global Futures Council (WEF, 2016). Grants & Labs: Leads £20M CDT in AI for Healthcare, £2M Turing Fellowship project, and manages labs at Imperial and University of Bayreuth (Germany). Collaborates with institutions like CRUK Convergence Science Centre and Data Science Institute.

Laura Kwongمشاهده پروفایل

استادیار

• Environmental Health
• Environmental Justice
• Global Health Equity
• +۷ مورد دیگر

Laura Kwong is an Assistant Professor in the Division of Environmental Health Sciences at the UC Berkeley School of Public Health, specializing in environmental justice and global health equity. Her work focuses on designing and evaluating engineering interventions to address health disparities in low-income countries, particularly regarding child/maternal health, air pollution, and infectious diseases. She employs community-based participatory research methods in Bangladesh, Uganda, Indonesia, China, and other regions. Dr. Kwong holds a PhD in Civil & Environmental Engineering from Stanford University, with prior experience as an ORISE Fellow at the U.S. EPA. Her interdisciplinary research integrates qualitative and quantitative methods, including randomized-controlled trials and sensor-based assessments. Key areas include household-level interventions to reduce environmental contamination, fecal exposure mitigation, and climate-resilient sanitation solutions. Her recent publications highlight community-driven solutions for energy access, fecal pathogen transmission pathways, and the impact of weather extremes on health. She leads the Global Environmental Health Equity Lab, emphasizing human-centered design in public health infrastructure. Dr. Kwong’s work bridges engineering and public health to advance equity in resource-poor settings, with a focus on interventions that address both health and environmental sustainability.

Hanqing Jinمشاهده پروفایل

دانشیار

• Mathematical Finance
• Stochastic Analysis
• Portfolio Optimization
• +۳ مورد دیگر

Dr. Hanqing Jin is an Associate Professor in the Mathematical Institute at the University of Oxford, specializing in Mathematical Finance and Applied Stochastic Analysis. His research focuses on investor decision-making under non-utility behavior, dynamic portfolio optimization, and stochastic control problems in financial markets. Prior to Oxford, he held an Assistant Professorship at the National University of Singapore. He has contributed to foundational work on mean-variance portfolio selection, behavioral finance, and the application of stochastic processes to financial modeling. His academic background includes extensive work on continuous-time portfolio optimization, risk management frameworks, and the intersection of behavioral economics with quantitative finance. Notable contributions include studies on optimal lockdown policies during pandemics, blockchain consensus algorithms analysis, and the development of novel biomarker detection techniques using Raman spectroscopy. Dr. Jin's research integrates advanced mathematical techniques with real-world financial challenges, bridging theoretical models with practical applications in areas such as robo-advising systems and cryptocurrency frameworks. His work on transaction cost analysis and dynamic mean-variance strategies has been widely cited in both academic and industry contexts.

Kyle Konisمشاهده پروفایل

دانشیار

• Building Science
• Sustainable Architecture
• Occupant-Centric Design
• +۴ مورد دیگر

Kyle Konis is an Associate Professor of Architecture and Director of the Chase L. Leavitt Master of Building Science Program at the University of Southern California's School of Architecture. He holds a Ph.D. in Architecture (Building Science) from UC Berkeley, an M.Arch from Yale University, and a B.A. in Architectural Studies from the University of Washington. His research focuses on aligning building performance with human needs through participatory evaluation techniques, data-driven design tools, and evidence-based practices in sustainability and healthcare environments. Prof. Konis has led six externally funded research projects, including grants from the AIA Upjohn Initiative and California Energy Commission. His work emphasizes occupant-centric design, with notable contributions to daylighting strategies, circadian lighting in dementia care facilities, and energy-efficient building systems. He is a licensed architect in Washington and California. Education: B.A. Architectural Studies, University of Washington M.Arch, Yale University Ph.D., Architecture (Building Science), UC Berkeley His research interests include sustainable building practices, occupant well-being, and the application of technology to improve design outcomes. Notable projects include studies on thermal comfort databases, participatory sensing frameworks (TrojanSense), and circadian design tools. He has authored or co-authored over 30 peer-reviewed articles and a Springer-published book on daylighting. Awards: 2016 ARCC New Researcher Award 2015 ACSA New Faculty Teaching Award 2015 ACSA Housing Design Education Award 2015 BTES Emerging Faculty Award Prof. Konis teaches courses on architectural sustainability, environmental systems, and interactive computing in design. His lab integrates real-world data collection with computational modeling to bridge gaps between design intent and building performance. Ongoing work explores climate-responsive interventions for at-risk communities and the role of lighting in mental health contexts.