جست‌وجوی استاد و پژوهشگر

Pietro D'Antuonoمشاهده پروفایل

پژوهشگر

• Offshore Wind Turbines
• Structural Health Monitoring
• Fatigue Analysis
• +۵ مورد دیگر

Pietro D'Antuono is a postdoctoral researcher affiliated with the Applied Mechanics Acoustics & Vibration Research Group. His research focuses on fatigue analysis, structural health monitoring, and offshore wind turbine systems. He has contributed to advancing methodologies for data-driven lifetime assessment of support structures and foundations, integrating physics-informed machine learning and probabilistic modeling. His work bridges mechanical engineering, civil engineering, and renewable energy systems. Research Interests: Offshore wind turbine structural dynamics Fatigue and damage mechanics Data-driven predictive models Structural health monitoring Materials degradation analysis Key Contributions: Developed the py-Fatigue open-source toolbox for fatigue assessment. Authored 24+ peer-reviewed publications and datasets on structural reliability and offshore energy systems. Awards: Best Paper Award (2nd place, ex-aequo) at an international conference (2022). Professional Activities: Presenter at conferences on topics like fatigue modeling, data-driven methodologies, and structural health monitoring. Contributed to international research collaborations in Europe and beyond.

Ling Chenمشاهده پروفایل

دانشیار

• Political Economy
• State-Business Relations
• Authoritarian Capitalism
• +۷ مورد دیگر

Ling Chen is the William L. Clayton Chair and Associate Professor at the Johns Hopkins University School of Advanced International Studies (SAIS). She is affiliated with the Agora Institute at JHU as a member of the Center for Economy and Society. She has held prestigious fellowships including Wilson China Fellow at the Woodrow Wilson Center and Non-resident Associate at Harvard's Fairbank Center for Chinese Studies. Prior to SAIS, she was a Shorenstein Postdoctoral Fellow at Stanford University and Rajawali Fellow at Harvard Kennedy School. Her research focuses on political economy , state-business relations , and authoritarian capitalism in China. She investigates the political and institutional origins of economic policies, combining field interviews with statistical analysis and machine learning. Her work explores how bureaucratic coalitions shape industrial, tax, and economic policies under authoritarian rule. Chen’s publications span leading journals such as American Journal of Political Science , International Security , The China Journal , and World Development . Her research trends show a strong emphasis on the intersection of economics and politics in non-democratic regimes, with growing use of computational methods. She has also published in The Washington Post , Axios , and Wilson Center reports, and her commentary has been featured in New York Times , Foreign Affairs , and Financial Times . Scientific awards and recognitions include: 2022 American Political Science Association (APSA) Best Comparative Policy Paper Award NCID Diversity Scholar, University of Michigan Catalyst Award for her second book project She has received research funding from the Social Science Research Council (Andrew Mellon Foundation), Wilson Center, Chiang Ching-Kuo Foundation, Institute for Humane Studies, and Stanford University. She has advised on policy through congressional testimony before the US-China Economic and Security Review Committee. Her public engagement reflects a strong commitment to translating academic research into policy impact. Ling Chen is involved in research initiatives at the Agora Institute’s Center for Economy and Society and collaborates with interdisciplinary teams across JHU, Harvard, and Stanford. Her ongoing work continues to explore capitalist development under authoritarian governance in China.

• Construction Engineering and Management
• Project Scheduling
• Construction Bidding and Auctions
• +۷ مورد دیگر

Dr. Pablo Ballesteros-Pérez is a researcher in the field of construction engineering and management, with a focus on project scheduling, bidding processes, and human resource allocation. His work addresses critical challenges in construction procurement, weather impact modeling, and team formation using sociometric techniques. Although his current institutional affiliation is not explicitly stated in the provided text, his extensive publication record in top-tier journals indicates a strong academic presence. His research interests span a wide range of topics including construction bidding behavior, multi-attribute auctions, fast-tracking, weather-aware scheduling, and abnormal bid detection. He has developed practical tools such as the Weather-wise planning system and M-PERT for educational purposes. His methodological approaches often involve statistical modeling, operations research, and data-driven analysis of real-world construction projects. The recent articles highlight a consistent trend in analyzing bidding competitiveness, improving procurement efficiency, and integrating environmental factors like weather into scheduling. His work bridges theoretical models with practical applications in construction management, contributing significantly to both academic knowledge and industry practices. Scientific Awards: None explicitly mentioned in the provided text. Advising and Grants: No information available regarding students supervised or research grants obtained. However, his frequent collaborations suggest active participation in research networks and potential involvement in funded projects. Labs and Research Teams: No specific laboratories or research teams are mentioned in the provided text. However, his co-authorship with researchers from various institutions indicates collaborative research efforts in construction management and engineering.

Mariela Morveliمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Computer Science
• Argumentation
• +۶ مورد دیگر

Mariela Morveli is a postdoctoral researcher in Artificial Intelligence at Umeå University's Department of Computing Science. She works within the Formal Methods for Trustworthy Hybrid Intelligence research group, focusing on argumentation frameworks, intelligent agents, and explainable AI. Education: Ph.D., Federal University of Technology of Parana (Brazil) M.Sc., Federal University of Rio de Janeiro (Brazil) B.Sc., National University of San Agustin of Arequipa (Peru) Her research spans argumentation theory, multi-agent systems, and explainable AI, with emphasis on goal reasoning, activity reasoning, and handling uncertainty through formal methods. She has developed frameworks like QuAD-V for transparent task delegation and explored probabilistic models for argumentation systems. Recent work trends show strong focus on contrastive explanations , gradual semantics , and hybrid reasoning mechanisms that integrate symbolic and probabilistic approaches. Her publications address challenges in human-agent interaction , trust modeling , and conflict resolution in dynamic environments. She contributes to the field through rule-based argumentation systems , rhetorical argument strength calculations , and neuro-symbolic architectures like SATyrus for constraint processing.

Soon Haeng KANGمشاهده پروفایل

دانشیار

• Korean Linguistics
• Italian Linguistics
• Comparative Syntax
• +۹ مورد دیگر

Soon Haeng KANG is an Associate Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where he has held a permanent position since 2018. His academic work centers on Korean and Italian linguistics, with a focus on syntax, morphology, and comparative analysis between the two languages. He is actively involved in teaching, research, and expanding Korean language education in Italy. PhD in General Linguistics, Ca' Foscari University of Venice (2007–2007) Master's Degree in Italian Linguistics, Hankuk University of Foreign Studies (2000–2003) Bachelor's Degree in Italian Studies, Hankuk University of Foreign Studies (1993–2000) Visiting Student, Ca' Foscari University of Venice (2001–2002) Dr. Kang's research focuses on the structural aspects of Korean and Italian languages, particularly in adjective syntax, genitive constructions, plural markers, and noun phrase organization. He employs comparative and contrastive methodologies to analyze grammatical phenomena across Korean and Italian, contributing to both theoretical linguistics and applied language teaching. His work bridges East Asian and European linguistic traditions. His recent publications show a strong trend in Korean linguistic theory and pedagogy, with major 2024 monographs on Korean morphology and the verbal system. He has also published extensively on the expansion of Korean language education in Italy and the adaptation of teaching methods during the pandemic. His articles span topics from syntactic movement in Italian to the educational implications of Korean grammar, reflecting a dual expertise in both languages. Dr. Kang has received research funding from the National Research Foundation of Korea for multiple projects related to Italian syntax and Korean-Italian contrastive analysis. These grants supported postdoctoral research and academic development activities in South Korea. Post-doctoral fellow, Hankuk University of Foreign Studies (2009–2010, 2012–2013) Contract Professor of Italian, Hankuk University of Foreign Studies (2007–2018) Contract Professor of Italian, Sejong University (2008–2012) Collaborator and linguistic expert, Ca' Foscari University (2003–2005) He has contributed to the development of Korean studies in Italy through curriculum design, vocabulary textbooks, and institutional leadership. His work helps shape the academic landscape for Korean language education in Europe, particularly in Italy.

• Business Law
• Negotiation
• Ethics
• +۲ مورد دیگر

Linda Barkacs is a Professor of Business Law at the Knauss School of Business, University of San Diego. She designs and teaches courses in negotiation, business law, and ethics across undergraduate and graduate programs, including the Master of Science in Executive Leadership, Global Leadership, Supply Chain Management, and Accountancy. She frequently instructs in international study abroad programs throughout Europe, Asia, and South America, supplemented by advanced negotiation training from Harvard's Program on Negotiation, Kellogg School of Management, and Duke University. Her research focuses on business law, negotiation dynamics, ethics pedagogy, and management strategies , with emphasis on experiential learning and social justice. Key themes include gender-based negotiation simulations, constitutional implications of public policies, environmental justice frameworks, and the intersection of globalization with ethical business practices. Publications demonstrate consistent exploration of legal education innovation through classroom exercises, critical analysis of discrimination cases, and contemporary issues like wealth inequality and digital ethics. Recent works integrate empirical studies with practical applications for business education. Awards & Honors: USD 10 Most Inspirational Professors (College Magazine, 2016) Professor of Impact - MS Supply Chain (2016) Professor of the Year - USD School of Business (2015) As co-founder of The Barkacs Group , she provides corporate training in negotiation and ethics. In 2021, she launched First Offer , an online platform dedicated to global negotiation skill development. Her legal background includes litigation at a prominent San Diego firm and co-founding Barkacs & Barkacs, where she managed high-stakes cases involving complex negotiations.

Sebastián Ferradaمشاهده پروفایل

استادیار

• Knowledge Graphs
• Graph Databases
• Multimedia Databases
• +۳ مورد دیگر

Sebastián Ferrada is an Assistant Professor at the Data & Artificial Intelligence Initiative of Universidad de Chile. He also serves as Young Researcher at the Institute for Foundational Research on Data (IMFD) and Collaborating Researcher at the National Center for Artificial Intelligence Research (CENIA). His research focuses on Knowledge Graphs, with special emphasis on extraction, management, and applications for querying, browsing, and AI systems. His academic background includes: PhD in Computer Science (2021), Universidad de Chile MSc in Computer Science (2017), Universidad de Chile BEng in Computer Science (2017), Universidad de Chile Sebastián's research explores several key areas: Multimedia Databases with applications to Wikimedia Commons images Graph Databases and Knowledge Graphs construction Federated Data Management across heterogeneous RDF sources SPARQL query extensions for similarity-based operations Graph data management and compression techniques His recent publications demonstrate strong trends in knowledge graph construction, similarity-based querying, and efficient graph data management. These works combine theoretical advancements with practical implementations in real-world systems like IMGpedia and MillenniumDB. Scientific achievements include: Best Paper Award at CoopIS 2023 Best Demonstration Award runner-up at SIGMOD/PODS 2024 Best Student Paper (Resources Track) and Best Poster at ISWC 2017 First prize in CLEI 2017 for his Master's thesis Sebastián currently leads the Fondecyt project on graph data management and contributes to the U-Inicia project on AI processes in graph databases. He serves on the editorial board of Transactions on Graph Data and Knowledge.

Jason J. Jungمشاهده پروفایل

استاد

• Computer Science
• Knowledge Engineering
• Social Media Analysis
• +۳ مورد دیگر

Jason J. Jung is a Professor in the Department of Computer Engineering at Chung-Ang University, Seoul, Korea. His academic work focuses on knowledge engineering , social media analytics , and data mining within the Knowledge Engineering Laboratory. Research Interests : Computer Science, Social Knowledge, Data Modeling, Sentiment Analysis Projects : IoT-based cultural systems, real-time social event detection, transmedia storytelling models The 15 most recent publications (2014-2018) demonstrate expertise in social network analysis , multimodal data processing , and context-aware systems applied to urban services, cultural tourism, and digital storytelling. Key trends include real-time analytics , trust modeling , and collaborative frameworks for O2O services. Professional activities include editorial contributions, invited talks, and patent developments. Students at all levels (PhD/MSc/BSc) conduct research under his supervision at the Knowledge Engineering Laboratory. Personal interests include travel, film, painting, literature, and music.

Fidel Santamariaمشاهده پروفایل

استاد

• Computational Neuroscience
• Cerebellar Function
• Learning and Memory
• +۷ مورد دیگر

Fidel Santamaria is a Professor in the Department of Neuroscience, Developmental and Regenerative Biology at the University of Texas at San Antonio (UTSA), within the College of Sciences. His research integrates experimental, computational, and theoretical approaches to study cerebellar function, learning and memory, and the role of biological complexity in neural computation. Education: Ph.D. in Neuroscience, California Institute of Technology B.S. in Physics, National Autonomous University of Mexico His research focuses on history-dependent dynamics across biological scales, employing fractional-order differential equations to model memory effects from molecules to behavior. He investigates intrinsic excitability and synaptic plasticity in cerebellar Purkinje cells, combining electrophysiology, multi-photon imaging, and biophysical modeling. His work extends into neuromorphic engineering , where he develops circuits with memory elements like mem-capacitors to emulate biological learning rules. Recent publications reveal a strong trend in modeling non-Markovian processes in neurons, information coding in networks with memory, and the biophysical basis of plasticity. This interdisciplinary approach bridges neuroscience, physics, and engineering. Scientific Contributions: Developed a unified framework using fractional calculus for history-dependent neural activity Demonstrated coupling between synaptic and intrinsic plasticity in Purkinje cells Explored calcium dynamics changes post-plasticity Advanced neuromorphic circuits with memory components Studied cerebellar excitability in autism models Santamaria actively mentors students through his research lab, where he supervises projects involving computational modeling, electrophysiology, and imaging. His work is supported by research grants (implied by lab activity and NCBI profile). He leads a multidisciplinary research team focused on understanding how biological complexity enables efficient neural computation. The lab combines experimental neuroscience with advanced mathematical modeling and engineering principles to explore fundamental questions in brain function.

Stuart B. Schwartzمشاهده پروفایل

استاد

• Colonial Latin America
• Brazil
• Caribbean
• +۹ مورد دیگر

Stuart B. Schwartz is the George Burton Adams Professor of History at Yale University, where he has taught since 1996. He is a leading scholar in colonial Latin American history, with a focus on Brazil, the Portuguese Empire, and the Caribbean. His work bridges ethnohistory, anthropology, religious studies, and environmental history. Research Interests: His primary scholarly interests include Colonial Latin America, Brazilian history, the Caribbean, the Portuguese Empire, ethnohistory, anthropology, history of religion, slavery, Native American history, and world history. His work explores the intersections of empire, culture, and society, particularly in colonial settings. Publications and Research Trends: Professor Schwartz has authored or edited 19 books and over 100 articles. His recent works reflect a growing interest in environmental history and the interplay between natural disasters and political power, as seen in Sea of Storms . Earlier works focused on legal institutions, plantation economies, and religious thought in colonial Brazil, showing a consistent engagement with social and cultural structures under imperial rule. Comendador da Ordem do Cruzeiro do Sul Inducted into the American Academy of Arts and Letters (2012) Four honorary doctorates Honorary citizenship from Salvador, Bahia Bolton Prize (three-time winner) Cundill Award Gustav Ranis Award Guggenheim Fellowship Advising and Grants: While specific students are not listed, Professor Schwartz has supervised numerous graduate students in Latin American history. He has received major fellowships from the Guggenheim Foundation, the Institute for Advanced Study at Princeton, the American Council of Learned Societies, and the Gulbenkian Foundation. He served as co-editor of the Hispanic American Historical Review (1996–2001) and currently sits on the editorial boards of thirteen professional journals across eight countries, reflecting his extensive influence and collaborative networks. Labs and Teams: Though not associated with a formal lab, Professor Schwartz has led major collaborative projects, including co-editing the South American volumes of the Cambridge History of Native American Peoples (2000), and working with international scholars across Europe and Latin America. His editorial roles and visiting professorships indicate sustained engagement with global academic teams.

Soon Myoung Chungمشاهده پروفایل

استاد

• Cloud Computing Security
• Hypervisor Security
• Parallel Computing
• +۸ مورد دیگر

Soon Myoung Chung is a computer science researcher with significant contributions in the areas of cloud computing security, parallel data clustering, and GPU-accelerated algorithms. The publications indicate long-standing research activity spanning from 2002 to at least 2022, suggesting sustained academic engagement. While no formal institutional affiliation is provided in the scraped content, the depth and consistency of work imply a faculty or research-oriented academic role. The research interests center around cloud security , especially hypervisor vulnerabilities and isolation breaches, parallel and distributed clustering algorithms for large-scale data, and 3D shape analysis using orthogonal moments. These fields reflect a strong focus on algorithmic efficiency, security in virtualized environments, and pattern recognition. The most recent articles show a trend toward leveraging GPU acceleration for real-time data processing in crisis management and enhancing anomaly detection in time series data. Earlier works emphasize foundational methods in association rule mining, text clustering, and combinatorial fusion for feature selection. Collectively, the publications demonstrate expertise in both theoretical algorithm design and practical implementation in high-performance computing contexts. Although no scientific awards are mentioned in the provided texts, the body of work has accumulated over 1,800 citations, indicating influence in the field. There is no information available about students advised, grants received, or leadership roles. No labs or collaborative teams are referenced in the scraped material.

• Cognitive Psychology
• Comparative Psychology
• Cognition Development
• +۴ مورد دیگر

James Close is a Lecturer in Psychology at Anglia Ruskin University's Faculty of Science and Engineering, School of Psychology, Sport and Sensory Science. He holds a PhD in Psychology from Cardiff University (2010) and a BSc in Applied Psychology from the same institution. His career includes postdoctoral research at the Max Planck Institute for Evolutionary Anthropology, English teaching in Thailand, and prior lectureships at Webster University Thailand. His research examines cognitive mechanisms across species, with core interests in: Cognitive & Comparative Psychology : Evolution of cognition in humans/animals Prosociality Development : Factors driving beneficial social behaviors Concept Formation : Categorization, similarity, and unsupervised learning Religion-Psychology Interactions : Behavioral impacts of belief systems Publications (2010-2023) demonstrate consistent focus on cross-species cognition, spanning primate visual transfer, rat stimulus generalization, human concept categorization, and comparative cognitive structures. Recent work emphasizes similarity-based representation in apes and humans. Awards & Recognition: Fellow of the Higher Education Academy (FHEA) DAAD Scholarship (2010, €4,000) Research Supervision includes: unsupervised categorization, prosocial behavior interventions, and pro-environmental behavior promotion. He coordinates the Psychology program and teaches courses: Becoming a Researcher , Brain, Body and Mind , and Research in Action . He leads projects at the ARU Centre for Mind and Behaviour .

Jennifer Goetzمشاهده پروفایل

استاد

• Social Psychology
• Cultural Psychology
• Emotional Experience
• +۷ مورد دیگر

Jennifer Goetz is the H.W. Stodghill, Jr. and Adele H. Stodghill Professor of Psychology at Centre College , where she has been a faculty member since 2011. She holds a PhD in Social and Personality Psychology from the University of California, Berkeley, and a BS in Information and Decision Systems from Carnegie Mellon University. She previously taught at Middlebury College and served as a Peace Corps volunteer in Niger. PhD: Social and Personality Psychology, University of California, Berkeley BS: Information and Decision Systems, Carnegie Mellon University Her research centers on emotional experience and culture , particularly how empathy and compassion are shaped by social, cultural, and evolutionary factors in the U.S. and China. She also investigates racial bias, inclusive pedagogy, and interventions to promote equity in educational settings. Her work integrates social, cultural, and cognitive psychology to understand human emotion and behavior in diverse contexts. Her recent publications span topics such as compassion science, human-robot interaction, racial climate in higher education, and emotional regulation across cultures. These works reflect a strong interdisciplinary approach, combining empirical research with applied social justice initiatives. Notable awards and recognitions include: Stodghill Research Professorship (2014) Centre Faculty Scholar (2018–2019) Marlene and David Grissom Associate Professor of Science (2020–2023) Diversity and Inclusion Faculty Fellow (2019–2020) Dr. Goetz mentors undergraduate researchers, notably guiding ten scholars in the 15th cohort of the Centre Posse program. She has led significant institutional initiatives, including the Inclusive Classroom Series: Science & Math Edition , and co-organized workshops on anti-racism, implicit bias, and support for underrepresented communities. She has also hosted speakers such as Dr. Jeanine Abrams McLean and Dr. Elizabeth Page-Gould to advance dialogue on equity. Her leadership extends to departmental service, having chaired the Psychology Department from 2017 to 2021. She was a Visiting Scholar at Tsinghua University’s Psychology Department in Beijing during her 2018 sabbatical, reflecting her international engagement in cultural psychology research.

• Computational electromagnetics
• Electromagnetic propagation
• Wave propagation
• +۷ مورد دیگر

Guido Lombardi is a Full Professor in the Department of Electronics and Telecommunications at Polytechnic University of Turin, where he serves as a member of the Interdepartmental Center CARS@PoliTO - Center for Automotive Research and Sustainable Mobility. His academic career spans over two decades with significant contributions to computational electromagnetics and related fields. Dr. Lombardi's research focuses on computational electromagnetics, particularly analytical and numerical methods, electromagnetic propagation (scattering and diffraction), metamaterials, wave propagation, and the Wiener-Hopf technique. His work extends to practical applications including microgrid/technological modernization of eco-districts, triboelectricity in industrial applications, and security and science for peace initiatives. His research aligns with several Sustainable Development Goals, particularly those related to affordable and clean energy, industry innovation, and sustainable cities. His publication record demonstrates a strong focus on electromagnetic theory, with numerous papers in IEEE Transactions on Antennas and Propagation and other prestigious journals. The research trajectory shows consistent development in solving complex electromagnetic problems using advanced analytical and numerical techniques, particularly the Wiener-Hopf method applied to wedge diffraction problems, waveguide analysis, and metamaterial applications. Notable scientific awards and recognitions include: Raj Mittra Junior Researcher Award from IEEE Antennas and Propagation Society (2003) Executive Committee member of IEEE Antennas and Propagation Society (2016-2021) Honorary member of URSI (2018-) Honorary member of IEEE (2011-) Dr. Lombardi has served as a mentor to PhD students including Matteo Perrone (working on multiphysics acoustic-electromagnetic metasurfaces) and Sergio Cannata (focusing on biological image analysis through deep learning techniques). He has secured significant research funding through competitive calls including the PNRR Mission 4 HPC Spoke 6 project (2022-2025) and the GREEN TAGS project (2020-2024). His editorial service includes roles on IEEE Transactions on Antennas and Propagation, Electronics Letters, and IEEE Access. He has been actively involved in organizing major international conferences, serving as program chair for multiple IEEE-APS Topical Conferences on Antennas and Propagation in Wireless Communications and the International Conference on Electromagnetics in Advanced Applications (ICEAA) from 2001 to present. His research group, Electromagnetic Modeling and Applications, focuses on advanced numerical methods for electromagnetic problems.

Michele Gelfandمشاهده پروفایل

استاد

• Cultural Psychology
• Cross-Cultural Management
• Organizational Behavior
• +۴ مورد دیگر

Michele Gelfand is a Professor of Organizational Behavior at Stanford Graduate School of Business and a Professor of Psychology (by courtesy) at Stanford University. She directs the Culture Lab, which investigates cultural norms, negotiation, conflict, revenge, forgiveness, and diversity through interdisciplinary collaborations with computer scientists, neuroscientists, and political scientists. Her research focuses on the concept of 'tightness-looseness' in cultures, exploring how rigid or permissive social norms shape societal responses to threats, innovation, and governance. She has received over $13 million in funding from the National Science Foundation, Department of Defense, and the FBI. Current Affiliation: Stanford Graduate School of Business Previous Affiliation: University of Maryland Gelfand's work spans cultural psychology, organizational behavior, and conflict management. Recent studies examine gene-culture interactions, gender inequality dynamics, and the role of cultural tightness in pandemic response. She has published in top journals like Science , PNAS , and The Lancet Planetary Health , often integrating neuroscience and computational methods. Her research on social norms during crises, particularly the early stages of the COVID-19 pandemic, highlights how cultural tightness-looseness influences compliance, identity, and policy effectiveness. Notable awards include election to the National Academy of Sciences (2021) and the American Academy of Arts and Sciences (2019), the Diener Award (2016), and the SIOP Distinguished Scientific Contributions Award (2022). She authored Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire the World (Scribner, 2018) and co-edited multiple handbooks on conflict, negotiation, and cross-cultural psychology. Her lab's work extends to global cultural evolution, artificial intelligence's societal impact, and behavioral interventions in polarized environments. Key Themes: Cultural Tightness-Looseness, Social Norms, Conflict Resolution, Pandemic Behavioral Dynamics Grants: NSF, DoD, FBI Gelfand's interdisciplinary approach bridges psychology, business, and computational sciences, aiming to decode the primal templates of culture that govern human societies.