جست‌وجوی استاد و پژوهشگر

Toon Tarisمشاهده پروفایل

استاد

• Occupational Health Psychology
• Work Stress
• Employee Well-being
• +۷ مورد دیگر

Prof. Toon Taris is a full Professor of Social, Health and Organisational Psychology at Utrecht University, affiliated with the Department of Social and Behavioural Sciences. He holds a MSc in Administrative Science and Research Methods (Vrije Universiteit Amsterdam, 1988) and a PhD in Career Trajectory Analysis (VU Amsterdam, 1994). He has held academic roles at Radboud University Nijmegen (2000–2009) before moving to Utrecht University in 2009, where he later served as Head of School (2013–2020). Research Focus: Work stress, employee well-being, burnout, work addiction, longitudinal research methods, and work engagement. Publications: Over 400 peer-reviewed articles, books, and edited volumes, including key texts like Harder, Better, Faster: A Biography of Modern Work (2021) and The Psychology of Working Life (2018). Editorial Roles: Editor-in-Chief of Work & Stress and board member of international journals. His research emphasizes causal relationships in occupational health psychology through longitudinal designs. Notable contributions include studies on burnout mechanisms, workaholism, and pandemic impacts on healthcare workers. He also develops interventions like career-crafting training programs. Personal interests include gardening, guitar playing, and home improvement activities.

Xiao Linمشاهده پروفایل

استادیار

• Economic Theory
• Information Economics
• Robust Learning

Xiao Lin is an Assistant Professor of Economics at the University of Pennsylvania, affiliated with the Department of Economics within the School of Arts and Sciences. He holds a PhD from Penn State University (2022). His research focuses on economic theory, with specialization in information economics and robust learning. He has published influential work in top journals like the Journal of Political Economy and Quarterly Journal of Economics , as well as conference proceedings at ACM Conferences on Economics and Computation. Education: PhD in Economics from Penn State University (2022). Key research interests include strategic information transmission, robust decision-making frameworks, and mechanism design. His recent work addresses topics such as credible persuasion mechanisms and the aggregation of correlated information in economic systems. He also collaborates on projects involving clinical and public health topics, though the primary focus remains economic theory. Professional activities include serving as a faculty member at the Ronald O. Perelman Center for Political Science and Economics, where he contributes to interdisciplinary research initiatives. He maintains an active research agenda reflected in over 15 recent publications across economics, medicine, and public health domains.

R. Manmathaمشاهده پروفایل

استاد مدعو

• Computer Vision
• Information Retrieval
• Image and Video Retrieval
• +۸ مورد دیگر

R. Manmatha is an Adjunct Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst and a Principal Scientist at Amazon A9 since 2013. His academic journey includes a Ph.D. in Computer Science from University of Massachusetts Amherst (1997), an M.S. in Electrical Engineering from University of Hawaii (1986), and a B.Tech in Electrical Engineering from Indian Institute of Technology Kanpur (1983). Research Interests Manmatha's work spans Computer Vision , Information Retrieval , and Document Analysis . Key projects include: Developing Vision-Language Models for GUI grounding and OCR-free document understanding Creating Word Spotting techniques for historical manuscripts like George Washington's papers Advancing Image Retrieval through statistical and relevance models Building Meta Search systems using score distribution analysis Optimizing Diffusion Transformers for text-to-image generation Scientific Contributions His research has led to numerous publications in conferences like SIGIR , CVPR , and ICDAR , focusing on: Automatic Image Annotation using cross-media relevance models Scale Space Techniques for handwritten manuscript segmentation Alignment Methods for document-groundtruth generation Indian Language Document Search via locality-sensitive hashing Transformer-based architectures for multimodal and document tasks Advising & Collaborations Manmatha has mentored students including Jiwoon Jeon , Shaolei Feng , Toni Rath , Jamie Rothfeder , and Nitin Srimal . He co-founded Snaptell (acquired by Amazon) and contributed to Amazon's mobile search technology. Labs & Teams He leads the Multi-media Indexing and Retrieval (MIR) group at the Center for Intelligent Information Retrieval (CIIR) , focusing on non-textual information indexing through ASCII conversion and direct content analysis.

• Metasurface Design
• Machine Learning Applications
• Antenna Engineering
• +۳ مورد دیگر

Mrs. Parvathy Chittur Subramanianprasad is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on advanced metasurface design and optimization through machine learning methodologies, addressing applications in antenna engineering and wireless communication systems. She contributes to the development of nanostructured materials and computational electromagnetics within the field of electrical engineering. Her work integrates interdisciplinary approaches, blending materials science with artificial intelligence to advance metasurface technologies. Recent publications emphasize active learning strategies for improving metasurface performance in wideband systems. No scientific awards, grants, or student advising information is explicitly stated in the provided materials. She is affiliated with the Engineering department at Queen Mary, contributing to cutting-edge research in computational and experimental electromagnetics.

Valentina Breschiمشاهده پروفایل

استادیار

• Data-driven control
• Control systems
• Machine learning
• +۵ مورد دیگر

Valentina Breschi is an Assistant Professor in the Control Systems Group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). She holds a Ph.D. from IMT School for Advanced Studies Lucca, with postdoctoral and junior faculty experience at Politecnico di Milano. Her research focuses on data-driven control, jump model learning, meta-learning for system identification, and human-centered policy design for mobility systems. She contributes to UN Sustainable Development Goals related to sustainable infrastructure and innovation. Education: B.Sc. in Electronic and Telecommunication Engineering (University of Florence, 2011) M.Sc. in Electrical and Automation Engineering (University of Florence, 2014) Ph.D. in Control Systems (IMT School for Advanced Studies Lucca, 2018) Research Interests: Her work spans data-driven control methodologies, including LPV control, predictive control, and ethical frameworks for policy design. She explores applications in sustainable mobility, energy systems, and healthcare, emphasizing fairness and social impact. Labs/Teams: She is part of the Control Systems Group, collaborating on projects like the CONSIDER study and the design of fair-MPC frameworks. Her work integrates theoretical control principles with real-world applications in smart systems and social networks.

Peng Wangمشاهده پروفایل

استاد مهمان

• Mental Health
• Emotion Dynamics
• Child and Adolescent Development
• +۳ مورد دیگر

Peng Wang is a Visiting Professor at the Department of Philosophy of the Sciences within the Faculty of Humanities at Vrije Universiteit Amsterdam. His academic qualifications include a PhD in Language and Emotion from VU University Amsterdam, and advanced studies in Linguistics, Education Research, and Public Health Statistics from Missouri State University, the University of Edinburgh, and the University of Oxford. His research focuses on interdisciplinary topics such as mental health interventions, emotion dynamics in education, neurodiversity advocacy, and healthcare communication. Key areas include transdiagnostic mental health approaches, ecological momentary assessment frameworks, and the integration of AI with neurotechnological research. Recent publications explore innovative methods for mental health monitoring (e.g., trimodal emotion assessment systems), universal school-based interventions for children, and the neuroethical implications of neurodiversity research. His work bridges philosophy of science with applied research in healthcare and education systems. No formal awards are listed, though his research has garnered attention across multiple platforms including Mendeley and Bluesky. Collaborations span global institutions with a focus on child mental health and healthcare professional wellbeing.

Fleur Dekenمشاهده پروفایل

استاد

• Mission-Oriented Innovation
• Innovation Ecosystems
• Interorganizational Collaboration
• +۵ مورد دیگر

Prof. Fleur Deken is a Full Professor of Strategy, Technology & Innovation at Vrije Universiteit Amsterdam and holds a University Research Chair. She serves as Vice-Dean of Research at the School of Business and Economics. Her work focuses on mission-oriented innovation, innovation ecosystems, and interorganizational collaboration, particularly in addressing societal challenges through strategic experimenting with digital technologies. Education: PhD (cum laude, TU Delft), MSc Strategic Product Design (TU Delft), BSc Psychology (UvA), BSc Industrial Design Engineering (TU Delft), and a minor in Business Admin (NUS). Research emphasizes routine dynamics, process research methods, and open science. She leads projects with Philips, BSH, and public institutions like the City of Amsterdam, focusing on innovation ecosystems and fieldlabs. Key grants include €1.5M NWO KIC Mission Driven Innovation and NWO Veni awards. Teaching roles include coordinating the BSc International Business Admin program (2020–2024) and executive courses on innovation management. Editorial roles include Academy of Management Journal and Strategic Organization. Notable contributions include studies on healthcare ecosystems, temporal coordination in smart city projects, and reusing qualitative data for open science. Her work spans management, strategy, innovation studies, and design disciplines.

FRANCESCA PAZZAGLIAمشاهده پروفایل

استاد

• Spatial Cognition
• Environmental Psychology
• Spatial Learning
• +۶ مورد دیگر

Francesca Pazzaglia is a Professor at the University of Padua, specializing in spatial cognition, environmental psychology, and the interplay between spatial abilities and environmental design. Her research focuses on wayfinding, aging-related spatial challenges, biophilic design, and the restorative effects of natural environments. She has extensively studied gender differences in spatial navigation, the impact of technology (e.g., GPS) on environmental knowledge, and dementia-friendly architectural guidelines. Her work bridges cognitive psychology with practical applications in healthcare and urban planning. Key research areas include: Restorative environments and their physiological/psychological benefits Spatial learning in virtual and real-world settings Design of healthcare and residential facilities for aging populations Gender and personality influences on navigation behaviors Recent studies highlight the role of nature exposure in improving cognitive performance, the efficacy of therapeutic gardens for dementia patients, and the psychological impacts of lockdowns during the pandemic. Pazzaglia collaborates internationally, emphasizing interdisciplinary approaches to sustainability in healthcare and urban development. Her research outputs include over 50 peer-reviewed articles, systematic reviews, and contributions to environmental certification criteria for health parks. While no formal awards are listed, her work is widely cited in environmental psychology and spatial cognition fields.

Perminder Sachdevمشاهده پروفایل

استاد

• Dementia and Aging Brain Health
• Neuroimaging
• Biomarkers
• +۵ مورد دیگر

Perminder Sachdev is a Scientia Professor of Neuropsychiatry at UNSW Sydney and Co-Director of the Centre for Healthy Brain Ageing (CHeBA). He holds roles as Clinical Director of the Neuropsychiatric Institute and has led major longitudinal studies on cognitive aging, including the Sydney Memory and Ageing Study. His research focuses on dementia, neuroimaging, biomarkers, and brain stimulation techniques. Education: MBBS and MD from All-India Institute of Medical Sciences, New Delhi (1978–1983), PhD in Neuropsychiatry from UNSW (1991). Clinical training in Australia, with expertise in movement disorders and later dementia research. Research interests span dementia prevention, neuroimaging biomarkers, and psychiatric disorders in aging. He leads international consortia like COSMIC and STROKOG, and has authored over 600 peer-reviewed papers with an H-index of 90. Awards include NSW Scientist of the Year (2010) and Fellowship of the Australian Academy of Health and Medical Sciences (2015). Key Projects: Sydney Centenarian Study, Older Australian Twins Study. Grants: Extensive funding for aging and dementia research. Labs/Teams: CHeBA, Neuropsychiatric Institute.

Andrew Dilleyمشاهده پروفایل

استاد

• Neuroscience
• Pain Physiology
• Neuroanatomy
• +۴ مورد دیگر

Professor Andrew Dilley is a Professor in Neuroanatomy and Head of the Department of Neuroscience at Brighton and Sussex Medical School (BSMS), University of Sussex. He leads Phase 1 of the BM BS medical programme and has held roles such as Interim Head of Anatomy at the Kent and Medway Medical School (2018–2020). His research focuses on peripheral neuroinflammation in chronic musculoskeletal pain, combining laboratory electrophysiology with human imaging studies (MRI/ultrasound). He has received grants from Versus Arthritis, the NC3Rs, and the US Department of Defence. Education: BSc (Anatomy & Developmental Biology) from University College London (1993–1996), PhD in Neurophysiology from King’s College London (1996–2000). Postdoctoral research at UCL and Harvard Medical School furthered his expertise in pain mechanisms. Research interests include neuropathic pain mechanisms, neuroinflammation’s role in chronic conditions like whiplash-associated disorders, and axonal transport disruption. His teaching emphasizes multimodal learning (lectures, dissection, ultrasound) and has earned him multiple teaching awards. Current projects investigate neuroinflammation’s role in chronic pain prognosis and novel therapeutic targets. Key grants include funding for studies on whiplash chronicity (Versus Arthritis, 2020–2023) and neuritis receptor expression (Wellcome Trust, 2010). Public engagement includes speaking at national/international events.

Shubha Kashinathمشاهده پروفایل

دانشیار

• Autism
• Speech-Language Pathology
• Early Intervention
• +۵ مورد دیگر

Shubha Kashinath is an Associate Professor and Chair in the Department of Speech, Language, & Hearing Sciences at California State University, East Bay. Her work focuses on bridging research and clinical practice to improve outcomes for individuals with communication impairments. She leads the CSD Early Social Communication Research Clinic, guiding undergraduate and graduate students in autism research, family-centered intervention, and collaborative practices. Additionally, she directs the Conversation Club, a social skills program for adults with autism enrolled in the College Link Program. Her research emphasizes autism, early intervention, and family-centered approaches, with a particular interest in augmentative and alternative communication (AAC) and culturally responsive practices. She teaches courses in autism, language disorders, counseling, and research methods. Dr. Kashinath’s publications span peer-reviewed journals, highlighting topics like paraeducator training, family routines-based interventions, and the efficacy of social skills programs. She actively mentors underrepresented students in speech-language pathology, emphasizing leadership and research engagement. Her professional service includes roles in academic leadership and community outreach, reflecting her commitment to advancing both scientific knowledge and practical clinical solutions.

Meredith K. Ginleyمشاهده پروفایل

پژوهشگر

• Addiction Treatment
• Behavioral Addictions
• Substance Use Disorders
• +۳ مورد دیگر

Dr. Meredith K. Ginley is a researcher and Principal Investigator of the Prevention Education and Treatment of Addiction Learning (PETAL) Lab at East Tennessee State University (ETSU). She holds a PhD from the University of Memphis, completed clinical internships at the University of Mississippi Medical Center and G.V. Montgomery VA Medical Center, and a postdoctoral fellowship at the University of Connecticut School of Medicine. Her research focuses on addiction treatment, behavioral addictions, and substance use disorders, with a particular interest in improving evidence-based interventions and dissemination. She collaborates with the Tennessee Institute for Gambling Education and Research (TIGER), leading efforts to reduce gambling-related harms across Tennessee through clinics and research initiatives. Dr. Ginley’s work spans prevention, treatment, and education, aiming to identify risk and resilience factors in addiction progression. Her lab supports numerous graduate and undergraduate students, including PhD candidates Hannah Mitchell, Thalia Sullivan, and Shelby King, who contribute to projects on opioid use, first responder trauma, and gambling disorder. She has secured grants from the Tennessee Department of Mental Health and Substance Abuse Services to expand access to addiction care. Her research emphasizes psychometric assessment and biostatistics, ensuring rigorous methodologies in understanding addiction mechanisms and treatment efficacy. Dr. Ginley’s collaborations include the TIGER team at the University of Memphis, focusing on gambling disorder treatment and prevention. The PETAL Lab also engages in interdisciplinary projects with ETSU’s College of Public Health to address regional substance use challenges. Her work highlights a commitment to addressing health disparities and improving outcomes for marginalized communities through tailored interventions and accessible care.

Austin O'Brienمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Austin O’Brien is an Associate Professor of Computer Science and Artificial Intelligence at Dakota State University’s Beacom College of Computer & Cyber Sciences. He serves as Program Coordinator for the MS in Computer Science and teaches graduate/undergraduate courses in algorithms, machine learning, cybersecurity, and reinforcement learning. His research focuses on AI-driven solutions in cybersecurity, agriculture, and workforce development, often collaborating with students through research initiatives. Education Ph.D., Computational Statistics - South Dakota State University M.S., Computer Science - South Dakota State University B.S., Computer Science - South Dakota State University Research Interests O’Brien’s work emphasizes practical AI applications, including malware classification, weed detection via deep learning, and automated cybersecurity tools. He prioritizes collaborative student research, mentoring initiatives like the AI Sweden Exchange Summer Research and DSU Honors College Thesis programs. Publications & Presentations His recent work spans cybersecurity literature reviews, agricultural AI models, and reinforcement learning in penetration testing. Presentations include discussions on AI’s role in workforce transformation and cyber defense strategies. Awards 2020 Ernest M. Teargarden Award for Excellence in Teaching Teaching & Outreach Beyond formal education, O’Brien instructs CAE faculty on AI in cybersecurity and leads youth STEM programs like GenCyber and CybHER camps.

Maria Laura CARRANZAمشاهده پروفایل

استاد

• Ecology
• Remote Sensing
• Plant Invasion Dynamics
• +۵ مورد دیگر

Prof. Maria Laura CARRANZA is a Full Professor at the University of Molise, Department of Biosciences and Territory. Her work focuses on ecology, remote sensing, and environmental conservation, particularly in Mediterranean coastal ecosystems. She leads the Envix Lab, emphasizing vegetation mapping, invasive species dynamics, and climate change impacts. Her research integrates multi-source remote sensing (e.g., Sentinel, UAVs) with field data to assess biodiversity, dune ecosystems, and human-environment interactions. Key projects include monitoring plant invasions (e.g., Acacia saligna), coastal resilience, and citizen science contributions to ecological data collection. Education background and formal qualifications are not explicitly detailed in the provided text. Her research spans over 15 years, with recent emphasis on Mediterranean dunes, urban biodiversity, and global change effects on alpine grasslands. She collaborates internationally, notably in Argentina (Gran Chaco forests) and Pakistan (yak herding dynamics). Research interests include functional traits of plant communities, spectral diversity metrics, and conservation strategies for threatened ecosystems. Her work highlights the role of protected areas in mitigating litter accumulation and preserving cultural services. She has contributed to policy frameworks like Natura 2000 and the EU’s Invasive Species Directive through applied research. Publications emphasize the synergy between remote sensing and field ecology, with over 30 peer-reviewed articles since 2016. Her work on Acacia saligna invasion models and dune eco-geomorphology via UAVs has advanced management practices. She also explores educational innovations, such as online course efficacy for field subjects like bird recognition.

Nathan C. Hallمشاهده پروفایل

دانشیار

• Motivation Psychology
• Educational Psychology
• Emotion Research
• +۵ مورد دیگر

Nathan C. Hall is an Associate Professor in the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. He also serves as the Associate Dean of the Faculty of Graduate and Postdoctoral Studies and directs the Achievement Motivation and Emotion (AME) Research Group. Dr. Hall's research explores the psychosocial determinants of optimal development in achievement settings, with a specific focus on motivation (strategies, goals, beliefs) and discrete emotions (boredom, enjoyment, anger). His work examines how these factors influence academic achievement, persistence, and health outcomes through motivational interventions, particularly those delivered via digital and social media platforms. His recent publications demonstrate a strong emphasis on understanding how motivation and emotion interact across educational contexts. Key trends include faculty and graduate student experiences, doctoral education, and technology-enhanced interventions. His research spans K-12 education, higher education, and healthcare settings, revealing the cross-domain relevance of motivational and emotional processes. Outstanding Publication Award; American Educational Research Association (SIG-GPDED; 2019) Outstanding International Research Collaboration Award; American Educational Research Association (SIG-TICL; 2017) Faculty of Education Distinguished Teaching Award (2014) Canadian Psychological Association President's New Researcher Award (2011) University of Manitoba Distinguished Dissertation Award (2007) Dr. Hall has secured significant research funding as Principal Investigator, including projects from the National Science Foundation examining motivation as a predictor of faculty research development, SSHRC grants on female academics' experiences of harassment on social media, and CIHR funding for research on psychosocial predictors of health and survival in late life. His international collaborations, particularly through his Humboldt Fellowship in Germany, demonstrate his global research impact. As director of the Achievement Motivation and Emotion (AME) Research Group, Dr. Hall leads a team investigating key questions in educational psychology using diverse methodologies including experimental designs, longitudinal studies, and meta-analyses to advance understanding of motivational and emotional processes in educational settings.