جست‌وجوی استاد و پژوهشگر

Craig J. Fennieمشاهده پروفایل

استاد

• Computational Materials Physics
• Condensed Matter Physics
• Solid State Chemistry
• +۴ مورد دیگر

Craig J. Fennie is Professor in the College of Engineering at Cornell University , where he has been on the faculty since July 2008. His appointment spans the interdisciplinary space between physics, materials science, and solid-state chemistry. Education: Ph.D. in Physics, Rutgers University (2006) M.S. in Electrical Engineering, Villanova University (1996) Research Focus: Fennie’s group pursues computational and theoretical materials physics , with a long-term goal of realizing a first-principles “materials-by-design” paradigm. By integrating microscopic Hamiltonians, symmetry analysis, and density-functional theory, the team explores how crystalline motifs—composition, symmetry, geometry, and topology—govern emergent phenomena such as multiferroicity, magnetoelectric coupling, and tunable dielectric response. Particular attention is paid to complex oxides, layered heterostructures, and materials under extreme conditions where chemical intuition can fail. Publication Trends: From 2011 to 2016, Fennie co-authored a series of high-impact papers in Nature family journals and Physical Review Letters . These works collectively advance the understanding and design of room-temperature magnetoelectric multiferroics, bulk magnetoelectric effects in hexagonal manganites, tunable microwave dielectrics through defect mitigation, and the fundamental scarcity of ferroelectric perovskites. The studies span synthesis, characterization, and theory, underscoring a collaborative, interdisciplinary approach. Awards & Honors: MacArthur Fellowship, John D. and Catherine T. MacArthur Foundation (2013) Presidential Early Career Award for Scientists and Engineers (PECASE, 2012) NSF CAREER Award (2011) Army Research Office Young Investigator Award (2010) Fellow of the American Physical Society (2015) Advising & Funding: While specific student names are not listed, Fennie leads a vibrant research program supported by NSF, ARO, and other agencies. His group trains graduate and post-doctoral researchers at the intersection of physics, materials science, and chemistry, preparing them for careers in both academia and industry. Labs & Teams: Work is conducted within Cornell’s shared high-performance computing ecosystem and leverages national user facilities such as the Cornell High Energy Synchrotron Source (CHESS) and collaborations with experimental groups worldwide.

Ching Kwan Leeمشاهده پروفایل

استاد

• Political Sociology
• Labor Studies
• Global Development
• +۶ مورد دیگر

Ching Kwan Lee is a Professor of Sociology at the University of California, Los Angeles (UCLA). Her work focuses on global and comparative issues, including labor politics, political sociology, decolonization, and the dynamics of Chinese capitalism. She is renowned for her trilogy on Chinese labor and global expansion, including Gender and the South China Miracle , Against the Law , and The Specter of Global China . Lee has also authored groundbreaking studies on Hong Kong’s decolonization struggles and African-China relations. Education: PhD in Sociology from the University of California, Berkeley. Research Interests : Globalization and its social impacts Comparative labor movements and protest dynamics Decolonization and postcolonial state formations Sino-African economic and labor relations Hong Kong’s political trajectory and transnational activism Her recent work explores resistance to 'global China,' including mass mobilizations in Hong Kong documented in Forever Hong Kong: A Global City’s Decolonization Struggle (2025). She co-edits the Cambridge Elements in Global China and leads the Global Hong Kong Studies @UC initiative. Awards & Recognition : 2024 Distinguished Career in Political Sociology Award Multiple book prizes for The Specter of Global China Fellowships at Stanford’s Center for Advanced Study and Princeton’s Institute for Advanced Study Grants & Initiatives : Lead researcher on NSF grants studying platform capitalism and labor in China Initiated comparative projects on Brazil, India, China, and South Africa ( Southern Interregnum ) Co-editor of volumes on Hong Kong’s Umbrella Movement and global labor studies

Andrea Voyerمشاهده پروفایل

استاد

• Social Inequality
• Immigrant Integration
• Social Norms
• +۴ مورد دیگر

Andrea Voyer is a Professor of Sociology at Stockholm University , focusing on social norms, boundaries, and their role in shaping social inequality , particularly in the context of immigrant integration , class disparities, and ethnic inequality. She employs both qualitative and computational methods , including large-scale text analysis and cultural theory, to explore these themes. Her research has received funding from Riksbankens Jubileumsfond , the Swedish Research Council , the National Science Foundation (USA) , and the Russell Sage Foundation . Voyer serves as a program coordinator for master's programs in sociology and applied social research, and leads the department's research groups in qualitative methods , computational sociology , and cultural sociology . She is also an editorial board member for Sociological Theory and American Journal of Cultural Sociology , and contributes to public discourse on immigration, segregation, and social norms. Her recent publications highlight the use of computational techniques to analyze immigrant incorporation through shifts in mainstream discourse, the cultural processes of inequality during the COVID-19 pandemic , and the evolving role of class distinction-making in etiquette literature. These works bridge cultural theory with empirical analysis, offering actionable insights for addressing social inequality.

Konrad Schindlerمشاهده پروفایل

استاد

• Photogrammetry
• Remote Sensing
• Computer Vision
• +۳ مورد دیگر

Prof. Konrad Schindler holds the position of Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. He is also the Head of the Institute of Geodesy and Photogrammetry (IGP), leading research and educational activities in geomatics and computer vision. His career spans roles as a Photogrammetric Engineer, scientific assistant, postdoc researcher, and academic faculty across institutions including Graz University of Technology, Monash University, and TU Darmstadt before joining ETH Zürich in 2010. Education: Undergraduate studies in Geodesy (1992–1995), Graz University of Technology, Austria MEng in Photogrammetry and Geoinformation (1995–1999), Vienna University of Technology, Austria PhD in Computer Science (2001–2003), Graz University of Technology, Austria Research focuses on Photogrammetry , Remote Sensing , Computer Vision , and Image Understanding with interdisciplinary applications in environmental monitoring, geospatial analysis, and disaster response. He develops computational methods for 3D reconstruction, fusion of multi-modal data, and AI-driven solutions for satellite imagery interpretation. His work bridges geomatic engineering and machine learning to address challenges in urban mapping, climate modeling, and biological systems analysis. Publications reflect expertise in geospatial AI, diffusion models, and benchmarking datasets for disaster resilience. Notable works include Marigold (image analysis adaptation) and BRIGHT (building damage assessment). His research emphasizes practicality and scalability, such as affordable depth estimation and global biomass datasets. He has received the 2013 Marr Prize Honourable Mention (IEEE) and the 2012 U.V. Helava Award (ISPRS), alongside several Best Presentation Awards. His contributions span technical leadership, editorial roles (ISPRS Journal), and service to Swiss remote sensing commissions. Advising and grants: While no specific advisee names or grant details are listed, his career trajectory includes mentoring postdocs and junior faculty. He teaches advanced courses in Photogrammetry , Image Interpretation , and Machine Vision , integrating cutting-edge AI techniques into curricula. His research group collaborates on global-scale projects like canopy height mapping and satellite-based climate variable assessments. Labs/Teams: As Institute Head, he oversees the IGP lab at ETH Zürich, with prior affiliations including the Digital Perception Lab (Monash University) and the Computer Vision Lab (ETH Zurich). His work often involves multi-institutional collaborations focused on geospatial AI and environmental science.

Matthew Potolskyمشاهده پروفایل

استاد

• Decadence
• Mimesis
• 19th-Century European Literature
• +۳ مورد دیگر

Matthew Potolsky is Professor of English at the University of Utah, specializing in nineteenth-century literature and literary theory. His career spans from 1998 Lecturer at Harvard University to current University Professorship. He earned a BA in Comparative Literature and Philosophy (1990), followed by MA and PhD in Comparative Literature (1992, 1997) from UC Irvine. Chair of English Department (2013-2016) University Professor (2014-2016) Research focuses on Decadence , Mimesis , Finance-Aesthetics intersections , and Government Secrecy . His work traces connections between financialization and decadent aesthetics, revealing how economic cycles influence artistic production. Key themes include: Decadent anti-realist literary movements Finance capital's cultural impact Decadent counterpublic formations Victorian aesthetic education debates Sublime aesthetics in national security Cosmopolitanism in literary communities Recent publications analyze: Decadent style as financialization rhetoric Reintroduction of verisimilitude theory Decadent responses to financial crises Mimetic labor in artistic production Decadent cosmopolitan counterpublics Historical parallels between financialization and literary decadence

Jerrica Ty Rowlettمشاهده پروفایل

استادیار

• Social Media
• Identity
• Civic Engagement
• +۱ مورد دیگر

Jerrica Ty Rowlett serves as an Assistant Professor of Communication and Language Studies within the College of Arts and Sciences at Bryant University, where she examines digital communication's societal implications through research and teaching in digital culture and social media dynamics. Education Ph.D., Florida State University M.A., Clemson University B.A., Georgetown College Her research program investigates identity formation, civic engagement, and digital inequity through critical analysis of social media platforms. She explores how digital environments shape interpersonal relationships, political discourse, and community building while addressing power dynamics in online spaces, with particular attention to abusive contexts, gender representation, and emotional experiences. Analysis of her publication record (2015-2024) reveals a consistent trajectory examining social media's evolving societal impact. Early work focused on educational applications and youth culture, progressing to sophisticated analyses of political meme culture, relationship dissolution in abusive contexts, and emotional contagion online. Her scholarship demonstrates increasing attention to social justice dimensions within digital communication. Scientific Awards No awards documented in current sources Advising and Grants Student advising details and research grant information are not specified in available materials, though her extensive publication record indicates active scholarly mentorship and research productivity. Labs and Teams No dedicated research laboratories or formal collaborative teams are mentioned in the provided information.

Adrian Wellerمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Machine Learning
• Explainability
• +۹ مورد دیگر

Adrian Weller is a prominent researcher and academic at the University of Cambridge, serving as a Director of Research in Machine Learning within the Department of Engineering. He holds multiple significant leadership roles including Programme Director for Trust and Society at the Leverhulme Centre for the Future of Intelligence (CFI), and previously served as Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI. His work bridges theoretical machine learning research with practical applications and societal implications of artificial intelligence. Weller's research interests span a broad spectrum of AI and machine learning topics with a particular focus on ensuring beneficial societal outcomes. His work encompasses explainability, fairness, robustness, scalability, privacy, safety, and ethics in AI systems. He has made significant contributions to trustworthy machine learning, including developing frameworks for AI governance, certification, and human-AI collaboration. His research group actively investigates neuro-symbolic approaches, privacy-preserving techniques, and methods for improving the reliability and interpretability of AI systems. His recent publications demonstrate a strong trend toward addressing the practical challenges of deploying AI systems in real-world contexts, particularly focusing on certification frameworks, governance mechanisms, and human-centered approaches. His work spans theoretical advances in machine learning architectures while maintaining a strong connection to societal impact, with publications appearing in top venues across AI, machine learning, and interdisciplinary applications. Scientific Awards: MBE for services to digital innovation (2022 Queen's Birthday Honours) Turing AI Fellowship for Trustworthy Machine Learning Weller actively supervises a large group of PhD students and postdocs, with current students including Juyeon Heo, Yanzhi Chen, Katie Collins, Isaac Reid, Yichao Liang, Herbie Bradley, and Shoaib Siddiqui. His former students have gone on to positions at leading institutions including Google DeepMind, ETH Zurich, NYU, and MPI-IS Tübingen. He has served on numerous advisory boards including the Centre for Data Ethics and Innovation, UNESCO's expert group on AI ethics, and the World Economic Forum's Global Future Council on AI. His research has been supported through his Turing AI Fellowship and various collaborative projects focused on safe and ethical AI development. Weller leads a vibrant research group focused on trustworthy machine learning, which actively organizes workshops and conferences including ICML 2024 (where he served as Program Chair), multiple workshops on responsible AI, and events through the ELLIS network. His group collaborates extensively across disciplines, working with researchers in computer science, social sciences, law, and policy to address the multifaceted challenges of developing beneficial AI systems.

Lily L. Tsaiمشاهده پروفایل

استاد

• Governance
• Accountability
• Political Participation
• +۱۰ مورد دیگر

Lily L. Tsai is the Ford Professor of Political Science at the Massachusetts Institute of Technology (MIT) and founder/director of the MIT Governance Lab (MIT GOV/LAB). She previously chaired the MIT Faculty and focuses her research on governance, accountability, and political participation in developing contexts, particularly Asia and Africa. Her research explores how decentralization, democratic reforms, informal institutions, and economic development influence public goods provision. She also investigates the dual impacts of social capital and civil society on political outcomes, and analyzes political behavior in authoritarian and transitional systems through surveys, interviews, and field experiments. Recent publications span topics including collective governance, vaccine compliance in Uganda, anticorruption strategies in China, and the role of informal institutions in rural China. Tsai’s work appears in journals like American Political Science Review and World Development . Dogan Award for best book in comparative research (2007-08) She leads interdisciplinary projects such as the Compass Initiative (SHASS Education Innovation Fund) and The Science of Respect with MIT’s Brain and Cognitive Sciences department. MIT GOV/LAB, which she founded in 2014, emphasizes real-time empirical collaboration between researchers and practitioners to address governance challenges.

• Contemporary Poetry
• Creative Writing
• Irish Studies
• +۲ مورد دیگر

John Redmond is Professor of English Literature at the University of Liverpool's School of the Arts, specializing in contemporary poetry and creative writing. He holds a D.Phil and is an established poet with three collections published by Carcanet Press. His critical work examines privacy in poetic interpretation and Irish literary traditions. Research intersects creative practice with critical analysis, exploring poetry's relationship with folk drama, online culture, and food (gastro-criticism). Authored the textbook 'How to Write a Poem' and edited James Liddy's Selected Poems. Current projects include a novel and new poetry collection. Regularly participates in literary events including readings at the Anthony Burgess Foundation and Christ Church, Oxford. Chairs the School Extenuating Circumstances Committee and contributes to the Centre for New and International Writing.

Luke J Daviesمشاهده پروفایل

پژوهشگر ارشد

• History of Philosophy
• Kantian Ethics
• Political Philosophy
• +۳ مورد دیگر

Luke J Davies is a Leverhulme Early Career Fellow in the Faculty of Philosophy at the University of Oxford. His research focuses on Kant’s moral and political philosophy, particularly exploring the interplay between duties to self and the legitimate role of the state. He previously held a fellowship in the Department of Government at the London School of Economics (2018–2022). Education: PhD in Philosophy, University of Oxford (2014–2019) BPhil in Philosophy, University of Oxford (2012–2014) BA in Philosophy, University of Toronto (2006–2011) His research interests include Kantian ethics, political philosophy, rights theory, and the philosophical foundations of state legitimacy. Current work examines how duties to self shape interpersonal moral obligations within Kantian frameworks. Key Themes in Publications: Recurring topics include Kant’s theories of property, citizenship, welfare, and cosmopolitanism, with a focus on reconciling individual autonomy with collective moral obligations. Recent work extends to the state of nature, cosmopolitan law, and active citizenship in republican frameworks. Awards: Leverhulme Early Career Fellowship (2022–2025) His academic trajectory combines rigorous engagement with Kantian texts and contemporary applications of classical philosophy to political and ethical dilemmas.

David B. Shmoysمشاهده پروفایل

استاد

• Operations Research
• Computer Science
• Optimization
• +۴ مورد دیگر

David B. Shmoys is the Laibe/Acheson Professor of Business Management & Leadership Studies at Cornell University's School of Operations Research and Information Engineering (ORIE) and holds a joint appointment in the Department of Computer Science. He is a leading researcher in approximation algorithms, stochastic optimization, and computational sustainability. His work emphasizes data-driven decision-making in enterprise and society, with applications ranging from healthcare logistics to environmental conservation. Shmoys has advised 27 Ph.D. students and served as an editorial board member for top journals like Operations Research and Mathematics of Operations Research. Education: Ph.D. in Computer Science, University of California, Berkeley (1984). Postdoctoral positions at MSRI and Harvard University, followed by faculty roles at MIT before joining Cornell. Research Interests: Design and analysis of approximation algorithms for NP-hard problems, stochastic optimization, scheduling, facility location, and inventory management. Applications include computational sustainability, epidemiological modeling, and political districting optimization. Articles Trends: Focus on optimization under uncertainty, computational sustainability, and real-world applications like air ambulance routing, bike-sharing systems, and gerrymandering analysis. Notable works include the 2018 Wagner Prize-winning paper on bike-sharing analytics and the 2013 Lanchester Prize-winning textbook on approximation algorithms. Awards: Lanchester Prize (2013), Daniel H. Wagner Prize (2018), Fellowships from ACM, INFORMS, and SIAM, NSF Presidential Young Investigator (1987). Advising & Grants: Over 27 advised Ph.D. students, with former students at MIT, Waterloo, Brown, and D-Wave. Active in grants related to data science and sustainability. Labs/Teams: Involved in the Institute of Computational Sustainability at Cornell, focusing on applying algorithms to environmental challenges. Collaborates with organizations like Motivate (bike-sharing) and Ornge (air ambulance services).

• Urban Ecology
• Human-Wildlife Conflict
• Bird Behavior
• +۲ مورد دیگر

Darryl Jones is Professor at Griffith University's Centre for Planetary Health and Food Security, specializing in behavioral ecology and human-wildlife interactions. His research examines urban ecosystems, wildlife conflict resolution, and conservation strategies, with particular emphasis on bird ecology and road infrastructure impacts. Professor Jones has authored influential books including 'Feeding the Birds at Your Table' and 'A Clouded Leopard in the Middle of the Road' that bridge scientific research and public engagement. His work explores: Wildlife responses to urbanization Bird feeding practices and consequences Road ecology and mitigation design Human dimensions of conservation Koala-vehicle collision patterns Recent publications document COVID-19's impact on global bird feeding behaviors, analyze 20-year trends in koala road mortality, and evaluate LED streetlight effects on urban wildlife. He leads research on dingo population viability in Fraser Island and develops innovative wildlife monitoring technologies like the open-source WildWID RFID system. Professor Jones collaborates extensively with government agencies on conservation policy and has secured funding for projects examining wildlife crossing infrastructure effectiveness. His research informs evidence-based approaches to human-wildlife coexistence in rapidly changing landscapes.

Kaya de Barbaroمشاهده پروفایل

دانشیار

• Developmental Psychology
• Clinical Psychology
• Social Interactions
• +۵ مورد دیگر

Dr. Kaya de Barbaro is an Associate Professor in the Department of Psychology at the University of Texas at Austin (College of Liberal Arts). She holds a Ph.D. from the University of California San Diego. Her research focuses on bridging computer science and developmental/clinical psychology, particularly maternal mental health and infant social-emotional development. She directs the Daily Activity Lab, which uses mobile/wearable sensors and machine learning to analyze real-world interactions, aiming to develop just-in-time interventions for new mothers. Key research areas include maternal-infant dynamics, physiological synchronization, and the impact of environmental chaos on development. She has pioneered methods for analyzing high-density data, such as Granger causality and machine learning algorithms to detect behaviors like crying and holding. Recent work emphasizes leveraging ecological momentary assessment surveys and 24-hour LENA audio recordings to understand proximal mechanisms of development. Dr. de Barbaro teaches Psychology 333D (Introduction to Developmental Psychology) and has developed curricula for both in-person and online formats. She is actively involved in training students through the Eureka program at UT Austin. Her lab collaborates on tools like chatbots for postpartum mental health and has published extensively on sensor-based methodologies in developmental science.

Josh Seimمشاهده پروفایل

استادیار

• Sociology
• Medical Sociology
• Welfare Studies
• +۵ مورد دیگر

Josh Seim is an Assistant Professor of Sociology at Boston College, affiliated with the Morrissey College of Arts and Sciences. His work focuses on the sociologies of work, medicine, welfare, punishment, pedagogy, and ethnographic methods. He holds a Ph.D. from the University of California, Berkeley, and has published widely in top journals including *American Sociological Review* and *Social Problems*. Education: B.A., Gonzaga University M.S., Portland State University Ph.D., University of California, Berkeley Research Interests: His research explores how institutions like healthcare systems, welfare offices, and penal institutions interact with urban poverty. Recent projects include studies on ambulance crews’ labor processes, welfare bureaucracy, and post-prison labor. His writing also emphasizes pedagogical innovation in sociology teaching and ethnographic methodological rigor. Key themes include the governance of suffering, medical labor, and carceral systems. Publications & Books: Bandage, Sort, and Hustle: Ambulance Crews on the Front Lines of Urban Suffering (UC Press, 2020) The Welfare Assembly Line: Public Servants in the Suffering City (forthcoming UC Press, 2026) Teaching: Sociology 7715: Classical Sociological Theory (graduate) Sociology 7716: Contemporary Sociological Theory (graduate)

Jessica Brownمشاهده پروفایل

استاد

• Epistemology
• Moral Responsibility
• Philosophical Methodology
• +۳ مورد دیگر

Jessica Brown is a Professor at the University of St Andrews within the School of Philosophical, Anthropological & Film Studies . Her work bridges epistemology, moral responsibility, and philosophical methodology, with a focus on both individual and collective epistemic practices. Institution: University of St Andrews School: Philosophical, Anthropological & Film Studies Research Outputs: 52 Research Overview Prof Brown's research spans three core domains: (1) Epistemology – examining evidence, knowledge transmission, fallibilism vs. infallibilism, contextualism, and norms of assertion; (2) Moral/Epicemic Responsibility – analyzing blame attribution for beliefs and actions at individual and group levels; (3) Philosophical Methodology – critiquing the role of intuitions, thought experiments, and ordinary language in philosophical inquiry, while addressing scepticism about the discipline's validity. Publication Trends Her articles reflect evolving focus from foundational epistemological concepts (2013-2018) to collective epistemic responsibility (2020-2023). Topics include group motivation, epistemic blame, and fallibilist frameworks, often intersecting with social philosophy and philosophical psychology. Scientific Recognition Fellow, Royal Society of Edinburgh (2018) Mentorship & Funding Supervised: 14 postgraduate students/researchers Major Grants: Leverhulme Trust Fellowship, Royal Society of Edinburgh Workshop Award, AHRC Standard Projects