جست‌وجوی استاد و پژوهشگر

Andrew Glawsمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Surrogate Modeling
• +۷ مورد دیگر

Andrew Glaws is a Researcher in Applied Mathematics at the National Renewable Energy Laboratory (NREL), working within the Computational Science Center. He joined NREL as a postdoctoral researcher in January 2019 and transitioned to a Researcher position in 2021, focusing on physics-informed deep learning for energy systems. His educational background includes: PhD in Computer Science, University of Colorado Boulder Master of Science in Mathematics, Virginia Polytechnic Institute and State University Bachelor of Science in Mathematics, Vanderbilt University Bachelor of Science in Physics, Vanderbilt University Glaws' research centers on applying machine learning and data-driven methods to renewable energy challenges. His core interests include: Machine Learning and Deep Learning Surrogate Modeling Uncertainty Quantification and Sensitivity Analysis Dimension Reduction Multifidelity Methods Exploratory Data/Model Analysis He has extensive cross-domain collaborations in wind/solar energy, climate science, building energy analysis, bioenergy, and battery technology. Analysis of his 45 publications (2020-2025) reveals a pronounced shift toward generative AI applications in energy systems since 2022, with 2025 outputs emphasizing aerodynamic design, photovoltaic reliability, and offshore wind platform modeling using advanced neural architectures. No scientific awards are documented in available sources. His advisory activities and grant funding details are not specified in the provided materials, though his 28 Mendeley readers and active conference participation indicate significant academic engagement. Glaws operates within NREL's Computational Science Center, contributing to interdisciplinary teams tackling energy challenges through computational mathematics and AI-driven approaches.

Chengxin Caoمشاهده پروفایل

استادیار

• Information Systems
• Enterprise Systems
• Mergers & Acquisitions (M&A)
• +۷ مورد دیگر

Chengxin Cao is an Assistant Professor at the Paul H. Chook Department of Information Systems and Statistics, Zicklin School of Business, Baruch College, City University of New York (CUNY). His research focuses on the intersection of information systems, mergers & acquisitions (M&A), generative AI, and cybersecurity. He received his Ph.D. in Management Information Systems from the University of Minnesota and holds advanced degrees in public policy and economics. Ph.D., Management Information Systems, University of Minnesota M.P.P., Public Policy, University of Minnesota M.Sc., Economics, Renmin University of China B.Sc., Economics, Renmin University of China Dr. Cao’s work explores how enterprise systems influence M&A outcomes, generative AI reshapes supply chains, and cybersecurity breaches drive IT capital reallocation. His research spans healthcare IT, temporary workforce dynamics, and AI ethics. His recent publications examine AI-augmented green jobs, digital resource redeployment in healthcare M&A, and knowledge repositories as tools for workplace equity. Many of his papers are under review or in progress at top-tier journals like MIS Quarterly and Information Systems Research . ICIS Conference Best Associate Editor (2025) Teaching Award, Carlson School of Management (2017) Doctoral Consortium Fellow, International Conference on Information Systems (2016) Theodore C. and Peggy Willoughby Fellowship (2016) Dr. Cao serves as a committee chair for CIS 2200 and mentors students in the Ph.D. admissions committee. He has presented at INFORMS, POMS, and Workshops on Information Systems and Economics, with active research projects on AI-occupation similarity and beauty bias in online health platforms.

Yu Liangمشاهده پروفایل

پژوهشگر

• Recommender Systems
• Computer Science
• Exploratory Behavior
• +۶ مورد دیگر

Yu Liang is a University Researcher at the Human Technology Interaction department within the Industrial Engineering and Innovation Sciences school at Eindhoven University of Technology . Their work focuses on interdisciplinary research at the intersection of artificial intelligence and human-computer interaction. Doctorate in Human Technology Interaction (2023) Master of Computer Science from Delft University of Technology (2017) Research spans recommender systems , explainable AI , and exploratory behavior , with specific applications to music genre analysis , user preference modeling , and interactive visualization . Their recent work examines how personalized nudging affects long-term user exploration in music platforms. Publications show a focus on machine learning integration with human factors , emphasizing representativeness and user-centered AI across conferences like IUI and RecSys. Key collaborations include partnerships with Willemsen, M.C. and van Wijk, J.J. . Doctor of Human Technology Interaction (2023) Master of Computer Science (2017) Research outputs have been cited 116 times, with 201+ downloads from the Pure repository, indicating significant academic impact. Their work often addresses interactive visualization for AI transparency and personalized recommendation frameworks.

• Educational Psychology
• Special Educational Needs
• Developmental Language Disorder
• +۶ مورد دیگر

Professor Olympia Palikara is a faculty member in the Department of Education Studies within the Faculty of Social Sciences at the University of Warwick. She is a Chartered Psychologist and Associate Fellow of the British Psychological Society, with research focusing on the intersection of Educational Psychology and Special Educational Needs. Her work centers on educational and psychosocial outcomes for children with neurodevelopmental conditions including Developmental Language Disorder, Autism Spectrum Disorders, Down Syndrome, and Williams Syndrome. She investigates how educational transitions impact wellbeing, school belonging, and school climate, identifying key individual and contextual factors influencing these outcomes. Analysis of her 2021-2024 publications reveals dominant themes: pandemic impacts on mental health during school transitions, neurodivergent student experiences, and cross-country comparative studies. Her methodological approach combines systematic reviews, longitudinal designs, and mixed-methods frameworks while prioritizing children's voices in research. Scientific Awards: Excellent Supervision Award for Social Sciences Professor Palikara demonstrates exceptional mentorship recognized through her supervision award. She secured funding from the Baily Thomas Charitable Fund for her 2020-2021 project examining post-pandemic school transitions for neurodivergent children, with a 2021 extension to continue research assistant support. She leads international collaborations across 16+ countries, evidenced by multi-national studies on school climate and neurodevelopmental conditions, fostering global research networks in educational psychology.

Raul Castro Fernandezمشاهده پروفایل

استادیار

• Data Ecology
• Data Discovery
• Data Markets
• +۵ مورد دیگر

Raul Castro Fernandez is an Assistant Professor of Computer Science at the University of Chicago and co-founder and Chief Research Officer at invocate. He originated the concept of 'data ecology,' which frames his research on how data moves through and transforms technological, economic, and social systems—and how we can design interventions to make those ecosystems more valuable, equitable, and resilient. He co-leads the Data Ecology research initiative at the Data Science Institute and co-runs Chicago Data Night, a forum that brings together industry and academia in Chicago. Dr. Castro Fernandez's research centers on data ecology, data discovery, data markets, and data integration. His work develops both theoretical frameworks and practical systems that help organizations find, evaluate, and use data effectively. He approaches data as a socio-technical phenomenon, examining how data shapes our world and how we can shape it back through technical, economic, and social interventions. His research bridges computer science, economics, and social science to address fundamental challenges in data ecosystems. His recent publications reveal a strong focus on applying large language models to data management challenges, particularly for tabular data discovery and integration. He has developed innovative systems like Pneuma for LLM-based tabular data navigation, Solo for natural language data discovery, and Nexus for correlation discovery in spatio-temporal data. His work also addresses critical challenges in data valuation, data markets, and responsible data sharing, with applications across industry and research contexts. SIGMOD Test-of-Time Award (2023) NSF CAREER Award (2024) Sloan Research Fellowship (2025) Dr. Castro Fernandez actively mentors students across multiple levels, advising PhD students including Qiming Wang, Yue Gong, and Zhiru Zhu, as well as numerous master's and undergraduate students. His group has developed influential systems including Data Station (for trustworthy data sharing), Ver (for view discovery), Metam (for goal-oriented data discovery), and Solo (for natural language data discovery). These systems address fundamental challenges in data discovery, sharing, and integration, with applications across various domains. He leads the Data Ecology research group at the University of Chicago, which focuses on developing technical, economic, and social interventions to make data ecosystems more valuable, equitable, and resilient. His team works at the intersection of database systems, machine learning, and economics to build practical systems that address real-world data challenges faced by organizations and individuals, with a particular emphasis on the socio-technical aspects of data sharing and discovery.

Eric Dayمشاهده پروفایل

استاد

• Personnel Psychology
• Organizational Behavior
• Human Performance
• +۳ مورد دیگر

Eric Day is a Professor in the Department of Psychology at the University of Oklahoma, affiliated with the Dodge Family College of Arts and Sciences. His office is located in Dale Hall Tower (Room 814), and he is currently recruiting graduate students for the 2025–2026 academic year. With expertise in personnel psychology and organizational behavior, Dr. Day investigates human performance, complex skill acquisition, leadership dynamics, and team adaptability using advanced methodologies including simulations and multilevel modeling. His research explores: Individual differences in cognitive and motivational processes during skill learning. Affect dynamics (e.g., variability, spin, pulse) in relation to task performance. Group decision-making, team training efficacy, and leadership assessment via situational judgment tests. Recent publications (2023–2025) emphasize statistical innovation (e.g., Bayesian network modeling, multilevel approaches) and applied contexts like cybersecurity training, healthcare staffing, and game-based learning. A consistent theme is the interplay between emotion regulation, effort allocation, and adaptive performance in complex tasks. Dr. Day actively mentors graduate students, evidenced by collaborative publications where advisees are co-authors. No awards or grants are detailed in the provided materials.

Patrick Manapatمشاهده پروفایل

استادیار

• Psychometrics
• Factor Analysis
• Item Response Theory
• +۲ مورد دیگر

Patrick Manapat is an Assistant Professor in the Department of Psychology at the University of Oklahoma, affiliated with the Dodge Family College of Arts and Sciences. He earned his Ph.D. in Quantitative Research Methods from Arizona State University. Education: Ph.D., Arizona State University His research focuses on psychometrics and methodological innovations, including factor analysis, item response theory, structural equation modeling, and meta-science. He actively seeks students for the 2025–2026 academic year. Recent publications highlight his work on dynamic fit indices for hierarchical models, heterogeneity in factor analysis, and applications of psychometric techniques across domains like education and animal behavior. His methodological contributions aim to improve consistency in research practices and statistical validation. For collaboration or inquiries, contact him at pmanapat@ou.edu .

Graham Denyer Willisمشاهده پروفایل

مدرس

• Human Geography
• Urban Studies
• Policing
• +۷ مورد دیگر

Graham Denyer Willis is a University Lecturer in the Department of Politics and International Studies at the University of Cambridge and serves as the Chris Rokos Fellow and Director of Studies in Geography at Queens' College. He holds a BA from Toronto, MA from Royal Roads, and PhD from MIT. His research spans several interconnected areas with a focus on: Urban violence and policing in Brazil Organized crime and state governance Informal settlements and urban development Security studies with a focus on Latin America Political geography of violence and disappearance Digital governance and platform capitalism Willis's scholarly work demonstrates a consistent ethnographic approach to understanding power dynamics in urban Brazil. His 2015 book The Killing Consensus: Police, Organised Crime and the Regulation of Life and Death in Urban Brazil established his expertise in how policing institutions and criminal organizations jointly govern urban space. More recently, his research has expanded into digital governance, pandemic politics, and the material politics of death and disappearance, while maintaining his core focus on Brazilian urban politics and security dynamics. As Director of Studies in Geography at Queens' College, Willis organizes teaching for Geography students with a 'creative and exploratory' supervision style that emphasizes connecting academic work to real-world problems. He teaches MPhil students in Development Studies (paper 5; Cities and Development) and the Latin American Studies module on Political Economy and Development.

David Gotzمشاهده پروفایل

استاد

• Visualization
• Visual Analytics
• Data Analysis
• +۵ مورد دیگر

David Gotz is a Professor at the University of North Carolina at Chapel Hill School of Information and Library Science (SILS) , where he serves as Director of the Carolina Health Informatics Program and UNC's Certificate in Applied Data Science . He is also an Adjunct Professor of Computer Science at UNC. Dr. Gotz leads the Visual Analytics and Communication Lab (VACLab) , focusing on interactive visual methods for data analysis and communication in healthcare and life sciences. Education: PhD in Computer Science (UNC-Chapel Hill, 2005), MS in Computer Science (UNC-Chapel Hill, 2001), BS in Computer Science (Georgia Tech, 1999). His research integrates data visualization, human-computer interaction, statistics, and machine learning to address complex data challenges, particularly in healthcare. Recent work explores counterfactual reasoning in visual analytics to improve causal inferences from clinical data. He has received grants from the National Science Foundation (NSF) and National Institutes of Health (NIH) to support this work. Dr. Gotz has been recognized with awards such as the 2017 ACM Computing Reviews Best of Computing Honoree , 2016 ACM IUI Best Paper Award , and multiple IBM Research Accomplishment Awards for his contributions to visual analytics and health informatics. Scientific Awards: 2017 ACM Computing Reviews Best of Computing Honoree 2016 ACM IUI Best Paper Award 2015 Data Fellow, National Consortium for Data Science 2013 IBM Research Accomplishment Awards 2012 IBM Research Accomplishment Awards At UNC, Dr. Gotz teaches courses including INLS 560: Programming for Information Professionals , INLS 582: Systems Analysis , and INLS 641: Visual Analytics . He is open to advising new doctoral students through the VACLab , which emphasizes interdisciplinary collaboration with healthcare professionals and cancer researchers.

• Social research techniques
• Self-identity
• Electoral studies
• +۴ مورد دیگر

Modesto Escobar Mercado serves as a University Professor in the Department of Sociology and Communication at the Faculty of Social Sciences, University of Salamanca. With 6 six-year terms of academic recognition, he maintains an active presence in both teaching and research. His office is located in room 402 and he can be contacted at modesto@usal.es or through his Twitter profile @modesto_escobar. Dr. Escobar's research program centers on methodological innovations in social sciences, with particular expertise in social research techniques, self-identity, and electoral studies. His work bridges advanced statistical methods with sociological theory, developing novel approaches to measuring social diversity, analyzing network structures in social phenomena, and assessing democratic quality through expert evaluations. He has made significant contributions to graphical and exploratory analysis techniques applied to social data. His publication record shows a clear evolution toward computational social science, with recent work emphasizing network analysis tools like the netCoin R Package. This trajectory reflects his commitment to advancing quantitative methodologies in sociology, moving from traditional statistical approaches to more sophisticated network-based analyses that capture complex social relationships and structures. As principal investigator of the Sociological Analysis Group at the University of Salamanca, Dr. Escobar leads research initiatives that integrate theoretical frameworks with cutting-edge analytical techniques. His teaching portfolio includes Measurement and Social Indicators, Multivariate Analysis Applied to Social Sciences, and Project Development, demonstrating his dedication to training students in rigorous methodological approaches essential for contemporary social research.

• Biogeography
• Environmental Conservation
• Geographic Information Systems (GIS)
• +۵ مورد دیگر

Ascensión Padilla Blanco is a Full Professor at the Department of Regional Geographic Analysis and Physical Geography and a researcher at the Interuniversity Institute of Geography at the University of Alicante. She has led the MedSPai research group since 2006, focusing on plant colonization, habitat conservation, and GIS applications in Mediterranean ecosystems. Education: PhD in Geography (1997, University of Alicante) Bachelor's Degree in Geography and History (1991, University of Alicante) MSc in Territorial Planning (1991, Department of Regional Geographic Analysis) Her research centers on Biogeography , with emphasis on plant formations, threatened flora, and climate change impacts in coastal and mountainous areas. She has pioneered studies on saproxylic insects in Mediterranean forests and the role of public LiDAR data in ecological connectivity. Her work also extends to flood risk management and traditional water systems in semi-arid regions. Key scientific awards and grants include collaborations with the Ibero-American Biodiversity Center (CIBIO) and non-competitive R&D projects for environmental assessments. She has taught across licenciaturas , master's, and doctoral programs, as well as CEFIRE courses for secondary education training.

• Special Education
• Disability Studies
• Communication Intervention
• +۵ مورد دیگر

Michael Arthur-Kelly is a Professor at the School of Education, University of Newcastle , specializing in Special Education and Disability Studies . He directs the Faculty's Centre for Special Education and Disability Studies and collaborates with the Renwick Centre at the Royal Institute for Deaf and Blind Children . Key research areas: Communication intervention , Challenging behavior , Inclusive education , Behavior state assessment , and Positive behavior support . Major projects include: ARC Discovery Projects -funded initiative improving communication for students with severe disabilities via mentor modeling Early Childhood Intervention Project training 1000+ teachers in NSW on functional behavioral assessment His 87+ peer-reviewed journal articles focus on assistive technology , teacher professional development , and inclusion of students with profound disabilities . Recent work examines robot-mediated social interventions and telepractice efficacy in family-centered early intervention. Teaching Expertise covers instructional design , curriculum assessment , and classroom management . He has served on editorial boards for the Australasian Journal of Special Education and Journal of Intellectual and Developmental Disability .

• Sociology of Complex Systems
• Social Simulation and Multi-Agent Systems
• Organizational Dynamics
• +۴ مورد دیگر

Pascal Roggero is a Professor of Sociology at the University of Toulouse Capitole , affiliated with the Institute of Space, Territorial, Cultural and Communication Law (IDETCOM) and the Edgar Morin Center (EHESS) . He has held leadership roles in academic training, including directing the Master 2 Engineering of the Transition of Territories and co-managing the DU Driving and Facilitating the Transition of Territories . Roggero is a co-founder of the journal Nouvelles Perspectives en Sciences Sociales and leads the French thematic network 'Sociology and Complex Systems'. Research Focus: Dynamics of organizations and territories, complex systems, social simulation, and multi-agent modeling. Projects: Creator of the SocLab framework for simulating social power dynamics; led its research valorization via AVAMIP funding. Publications highlight interdisciplinary approaches, merging sociology with computational modeling to analyze social systems, policies, and organizational complexities. His work spans peer-reviewed journals like Revista Mexicana de Ciencias Políticas y Sociales and Journal of Artificial Societies and Social Simulation .

Andy Neelyمشاهده پروفایل

استاد

• Manufacturing Strategy
• Performance Measurement Systems
• Digital Transformation
• +۳ مورد دیگر

Andy Neely is Professor of Manufacturing and Pro-Vice-Chancellor for Enterprise and Business Relations at the University of Cambridge, where he leads strategic collaborations between academia and industry. He has over a decade of experience at the Institute for Manufacturing (IfM) and previously served as Head of IfM. His expertise includes helping organizations align key performance indicators (KPIs) with strategic goals, developing manufacturing strategies, and innovating data-driven business models. BEng and PhD in Manufacturing Engineering Elected Fellow of the Royal Academy of Engineering (2019) Appointed OBE in 2020 for services to manufacturing and business Neely’s research focuses on digital transformation, performance measurement systems, and service business model innovation. He has pioneered frameworks for decoupling organizational pressures, integrating AI into customer experience analytics, and optimizing pandemic response protocols. His work spans industries from construction to healthcare, emphasizing practical applications of big data and Bayesian neural networks. His recent publications highlight trends in outcome-based contracts, digital twin technology, and servitization challenges. Neely advocates for collaborative performance metrics and co-creation in living labs, balancing technical and strategic dimensions of manufacturing. Notably, he established the Cambridge Service Alliance to bridge academic and industrial innovation. Fellow of the Royal Academy of Engineering (2019) OBE (2020)

M. Diane Burtonمشاهده پروفایل

استاد

• Organizational Sociology
• Innovation
• Entrepreneurship
• +۴ مورد دیگر

M. Diane Burton is a Professor of Human Resource Studies at Cornell University's ILR School, with courtesy appointments in Organizational Behavior and Sociology. She previously held faculty positions at MIT Sloan School of Management and Harvard Business School, joining Cornell in 2009. Her research focuses on organizational sociology , innovation , and entrepreneurship , examining how management systems affect firms and individuals. Education: PhD in Sociology from Stanford University (1996) Key Research Areas: Entrepreneurial teams, executive careers, R&D teams, non-profit leadership, law firm employment practices Burton's publications analyze startup compensation , organizational structure , and employee turnover in high-tech firms. Her work combines quantitative analysis (e.g., Danish administrative data) with qualitative studies of Silicon Valley companies. Recurring themes include strategic HRM , team demography , and long-term career outcomes . Scientific Awards: SUNY Chancellor's Award for Excellence in Faculty Service (2020) Public Voices Fellow (2015) Lady Davis Fellow (2016) Mit Sloan School professorships (2005, 2001, 1999) Stanford University Fellowship (1989-1993) Burton actively contributes to Entrepreneurship@Cornell and leads the Institute for Compensation Studies . She has served as Senior Associate Dean for Research, Outreach, and External Relations and chaired the Human Resource Studies Department (2019-2022). Her outreach includes executive education programs and online courses for eCornell.