جست‌وجوی استاد و پژوهشگر

• Perceptual information processing
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Hiroshi Ishikawa is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering. He also serves as a Visiting Professor at the National Institute of Informatics since 2016. Previously, he held positions at Nagoya City University from 2004-2010 as Assistant Professor, Associate Professor, and Professor. His academic journey includes being a JST PRESTO Researcher from 2009-2013 and an Associate Research Scientist at New York University's Courant Institute of Mathematical Sciences from 2000-2001. Ph.D. in Computer Science, New York University (2000) Master of Science, Kyoto University Bachelor's degree in Mathematics, Kyoto University Faculty of Science (1991) Hiroshi Ishikawa's research spans perceptual information processing, computer vision, artificial intelligence, deep learning, and discrete optimization. His work focuses on developing algorithms for image restoration, segmentation, and understanding, with significant contributions to energy minimization techniques in computer vision. He has pioneered approaches in sketch simplification, medical image segmentation, and higher-order graph cuts. His research bridges theoretical advances in mathematical optimization with practical applications in medical imaging, computer graphics, and consumer electronics. Ishikawa's recent publications demonstrate a strong focus on leveraging deep learning for image enhancement and understanding. His work spans super-resolution techniques, colorization methods, human avatar generation, and medical image analysis. A notable trend is the increasing integration of attention mechanisms and generative models to solve complex vision problems, with growing emphasis on real-world applications in medical imaging and computer graphics. His research group consistently produces high-impact work that appears in top-tier computer vision conferences. 75th Annual IEICE Best Paper Award (2019) Innovative Technologies 2016 Special Prize for Culture (Ministry of Economy, Trade and Industry) MIRU Nagao Award (Best Paper Award) (2009) Young Author Award (IEEE Computer Society Japan Chapter, 2006) MIRU2006 Excellent Paper Award (2006) Harold Grad Memorial Prize (Courant Institute of Mathematical Sciences, NYU, 2000) As a professor at Waseda University, Ishikawa has mentored numerous students who have become active researchers in computer vision, including Yuya Masuda, Edgar Simo-Serra, and Satoshi Iizuka. His research has been supported by various grants, including JST PRESTO funding from 2009-2013. He has served on editorial boards for prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and has held leadership roles in major computer vision conferences such as ICCV, CVPR, and ACCV. Ishikawa leads a vibrant research group at Waseda University focused on computer vision and image processing. His laboratory collaborates extensively with researchers at Nagoya City University, National Institute of Informatics, and international institutions. The group maintains strong connections with industry partners, particularly in medical imaging and consumer electronics sectors, translating theoretical advances into practical applications.

John MacLaren Walshمشاهده پروفایل

استاد

• Information Theory
• Network Coding
• Distributed Computing
• +۴ مورد دیگر

John MacLaren Walsh is a Professor in the Department of Electrical and Computer Engineering at Drexel University, where he leads the Adaptive Signal Processing and Information Theory Research Group. He holds BS, MS, and PhD degrees from Cornell University, all completed under Dr. C. Richard Johnson, Jr. His research spans information theory, network coding, distributed computing, and machine learning applications in patent analysis. His work focuses on: Bounding entropic vectors and their impact on communication networks Rate region computation for network coding and distributed storage Information theory for distributed function computation Machine learning-enhanced patent processing systems Publications emphasize entropy geometry, network coding complexity, distributed algorithms, and patent analysis, with consistent themes of optimization and combinatorial methods. Recent work (2016-2019) shows increased focus on probabilistic supports and computational efficiency in network coding. Awards: 2011 NSF CAREER Award for 'Entropy Geometry in Variational Inference Signal Processing' He has advised PhD students on topics like entropy region mapping, network coding, and distributed control. Key grants include NSF CAREER and AFOSR funding for wireless network overhead control. He directs the Adaptive Signal Processing and Information Theory Research Group, which develops algorithms for network coding, distributed storage, and patent analysis systems.

Thomas Chaneyمشاهده پروفایل

استاد

• International Trade
• Networks
• Finance
• +۳ مورد دیگر

Thomas Chaney is a Professor of Economics at the University of Southern California (USC), holding the John Elliott Chair in Economics. He is affiliated with Sciences Po’s Department of Economics and leads the ERC Project HTMG. His research focuses on International Trade, Networks, and Finance, with notable contributions to historical trade dynamics and modern financial constraints. Chaney is a CEPR and CESifo Research Fellow, reflecting his academic standing. Research Interests: Chaney’s work bridges historical and contemporary economic phenomena, analyzing trade networks, collateral constraints in corporate finance, and the impact of migration on innovation and urban development. His research often employs innovative methodologies, such as combining archaeological data with economic models to study ancient trade systems. Articles Trends: Recent work examines Bronze Age trade networks, modern corporate investment dynamics, and the role of real estate collateral. His 2024 articles explore ancient trade’s end and contemporary empathy’s economic implications, showcasing interdisciplinary approaches. Earlier papers like Trade, Merchants, and the Lost Cities of the Bronze Age (2019) exemplify his historical focus. Grants & Awards: Chaney leads the ERC-funded HTMG project and holds prestigious fellowships. His work has been published in top journals and spans empirical trade analysis, financial economics, and historical methods. Labs/Teams: Active in USC’s Economics Department and collaborates with global institutions like Sciences Po and the Bank for International Settlements (BIS). His research group integrates economists, historians, and data scientists for interdisciplinary projects.

Beverly J. Silverمشاهده پروفایل

استاد

• Historical Capitalism
• Global Inequality
• Labor Movements
• +۴ مورد دیگر

Beverly J. Silver is a Professor in the Department of Sociology at Johns Hopkins University and Director of the Arrighi Center for Global Studies. She holds a PhD in Sociology from SUNY Binghamton. Her research focuses on historical capitalism, global inequality, labor movements, and social conflict, employing comparative and world-historical methodologies. She examines how these phenomena interact across time and space, particularly in the context of globalization and geopolitical shifts. Key research interests include the dynamics of labor unrest, the evolution of social protest, and the role of hegemonic power structures in shaping global economic and political systems. Her work emphasizes long-term historical frameworks to identify recurring patterns and novel developments in contemporary globalization processes. Her publications analyze global social protest trends, the limits of US hegemony, and the interplay between economic crises and social conflict. She has contributed significantly to understanding labor movements' trajectories, especially in the automobile industry and emerging economies like China. Recent work explores the acceleration of social history and the implications of crises in global capitalism. Award-winning scholar (no explicit awards listed), her research spans over three decades, with a focus on the sociology of global systems. She advises no listed students and her grants/awards remain unspecified. She leads the Arrighi Center, fostering interdisciplinary global studies research.

Deborah Johnsonمشاهده پروفایل

پژوهشگر

• Racial-Ethnic Socialization
• Cultural Adjustment of Immigrants/Refugees
• Child Racial Coping
• +۳ مورد دیگر

Dr. Deborah J. Johnson is a researcher in the Department of Human Development and Family Studies at Michigan State University, affiliated with the College of Social Sciences. She holds a Ph.D. from Northwestern University, an M.A. from Cornell University, and a B.A. from the University of Chicago. Her work focuses on racial-ethnic socialization, cultural adjustment of immigrant/refugee groups, and resilience among marginalized populations, with particular attention to South Sudanese refugees, Indigenous Australians, and Roma youth. She explores how cultural identity intersects with global contexts, gender, and education to shape developmental outcomes. Key research areas include: Racial-identity development in African American and Latina college women Cultural adaptation of Sudanese refugees and its tridimensional aspects of identity alignment Positive youth development in Indigenous Australian communities through virtual reality initiatives Policy impacts on oppressed ethnic groups' identity reformation Her work has been published in over 50 peer-reviewed articles and books, including Identity Re/Formation among Immigrant Youth and Families (upcoming) and Children and Prejudice (2018). She leads interdisciplinary projects at the intersection of education, mental health, and public policy, emphasizing equity and culturally responsive practices. Dr. Johnson collaborates with institutions like the Child Development Laboratory and Couple & Family Therapy Clinic to translate research into community-focused interventions. Her global projects span North America, Australia, and Eastern Europe, addressing systemic barriers faced by vulnerable populations.

Julia Ticonaمشاهده پروفایل

استادیار

• Digital Communication Technologies
• Precarious Work
• Algorithmic Labor Platforms
• +۷ مورد دیگر

Julia Ticona is an Assistant Professor at the Annenberg School for Communication and holds a secondary appointment in Sociology at the University of Pennsylvania. Her research examines how digital communication technologies shape precarious work, focusing on mobile phones, algorithmic platforms, and data-driven management systems affecting low-wage workers. She explores identity construction, inequality, and labor dynamics in the gig economy, including a book under contract with Oxford University Press titled *The Digital Hustle: Precarity Beyond Platforms*. Dr. Ticona earned her Ph.D. in Sociology from the University of Virginia (2016), an M.A. from the same institution (2011), and a B.A. from Wellesley College (2009). She has held postdoctoral roles at Data & Society Research Institute and is currently a Faculty Affiliate there and an Associate Fellow at the Institute for Advanced Studies in Culture. Her work appears in journals like *New Media & Society* and outlets such as *Wired* and *Slate*. Her research interests include digital labor platforms, algorithmic management, carework regulation, and the intersection of technology with inequality. She has contributed to legal advocacy, including an amicus brief for the U.S. Supreme Court case *Carpenter v. U.S.*. Her courses address digital inequalities, labor in the digital economy, and qualitative research methods. Her publications analyze topics like visibility regimes in domestic work platforms, contested governance on carework platforms, and strategies for coping with insecure digital labor. Her recent work critiques data colonialism and explores how technological systems exacerbate socioeconomic divides. Leveraging qualitative methods, Ticona’s scholarship bridges sociological theory with empirical studies of digital labor. She collaborates across disciplines to address systemic inequities perpetuated by technology, emphasizing worker agency and institutional accountability in platform economies.

Amin Sakzadمشاهده پروفایل

دانشیار

• Lattice-Based Cryptography
• Wireless Communications
• Post-Quantum Cryptography
• +۶ مورد دیگر

Dr. Amin Sakzad is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. His research focuses on lattice-based cryptography, wireless communications, and post-quantum security protocols. He holds a PhD in Applied Mathematics from Amirkabir University of Technology (2011) and has held academic roles at Carleton University and Monash since 2012. Dr. Sakzad’s expertise spans lattice coding theory, MIMO systems, and privacy-preserving technologies for genomic databases and blockchain applications. He leads multiple ARC-funded projects, including work on secure databases (SRDBMS) and post-quantum cryptographic primitives for FinTech and energy sectors. His research has been recognized through awards such as the FIT Dean’s Award for Teaching Excellence (2021). Key collaborations include projects on blockchain security (CollinStar Lab), genomic data privacy, and energy market cybersecurity. His work addresses UN SDGs through contributions to quality education (SDG 4) and industry innovation (SDG 9). Recent publications highlight advancements in lattice-based cryptography (e.g., CRYSTALS-Kyber variants), privacy-preserving energy trading, and secure blockchain protocols like FPPW watchtower systems. His research bridges theoretical cryptography with practical implementations in embedded systems and 5G telecommunications. Grants: 16 active/completed projects including $1.2M in ARC funding Advising: Supervising PhD projects on lattice applications in post-quantum crypto and blockchain Labs: Core member of Monash’s Software Defined Telecommunications (SDT) Lab and CollinStar Lab

• Computer Architecture
• Machine Learning
• Approximate Computing
• +۳ مورد دیگر

Hadi Esmaeilzadeh is an Associate Professor at the University of California, San Diego in the Department of Computer Science and Engineering . He leads the Alternative Computing Technologies (ACT) Laboratory and serves as Associate Director of the Center for Machine Integrated Computing and Security (MICS) . Previously, he was an Assistant Professor at Georgia Institute of Technology. Ph.D., Computer Science and Engineering, University of Washington (2013) Research focuses on computer architecture , machine learning acceleration , and approximate computing His work has produced 15+ publications spanning IEEE Micro Top Picks , CACM Research Highlights , and ISCA . Key projects include: Tabla : Cross-stack ML acceleration framework DnnWeaver : Open-source DNN acceleration platform Major honors include: IEEE TCCA Young Computer Architect Award ISCA Hall of Fame Qualcomm Innovation Fellowship Georgia Tech PURA Award Teaching roles: CSE 141: Introduction to Computer Architecture CSE 240D: Accelerator Design for Deep Learning CSE 240A: Principles of Computer Architecture

• Power Systems
• Distributed Energy Resources
• Smart Grids
• +۳ مورد دیگر

Gustavo Valverde Mora is a Lecturer at ETH Zurich's Power Systems Laboratory in the Department of Information Technology and Electrical Engineering. His research focuses on distributed energy resources, smart grid technologies, and power system control, with expertise in behind-the-meter DER integration and hosting capacity analysis. His recent work addresses key challenges in renewable energy integration, including voltage control coordination between transmission and distribution networks, data-driven local control schemes for active distribution grids, and unsupervised load disaggregation techniques using smart meter data. He has developed novel methods for DER modeling, GIS-based system analysis, and distribution network planning. Recognized with multiple awards including the 2022 Costa Rican National Technology Award, he actively contributes to IEEE Task Forces on DER integration. His research demonstrates strong emphasis on practical grid applications, combining theoretical power systems knowledge with advanced data analytics. Dr. Valverde teaches Power System Analysis (227-0526-00L) and maintains collaborations with utilities worldwide on renewable integration challenges.

Heather A. Havemanمشاهده پروفایل

استاد

• Organizational Theory
• Economic Sociology
• Historical Sociology
• +۷ مورد دیگر

Heather A. Haveman is a Professor of Sociology and Business at the University of California, Berkeley. She holds a B.A. in History (University of Toronto, 1982), an M.B.A. (University of Toronto, 1985), and a Ph.D. in Organizational Behavior and Industrial Relations (University of California, Berkeley, 1990). She has served at Duke University's Fuqua School of Business (1990-1994), Cornell University's Johnson Graduate School of Management (1994-1999), and Columbia University's Graduate School of Business (1998-2007) before joining UC Berkeley in 2006. Her research explores organizational evolution, industry dynamics, and career mobility. Key projects include studies of American tech firms, Chinese listed firms, and historical analyses of U.S. collegiate women's sports and 19th-century American magazines. She employs mixed methods, including NLP for literature reviews and corporate culture mapping. Recent publications span topics like organizational change and economic inequality (2025) computational literature reviews (2024) gender equality in corporate practices (2023) institutional logics in organizational behavior (2023) coevolution of capitalism and enterprise (2022) She has received prestigious awards including the 2016 ASA Best Book Award for Magazines and the Making of America 2017 Barrington Moore Book Award Her teaching portfolio includes graduate courses in organizational sociology and undergraduate classes on entrepreneurship and evidence evaluation. She actively mentors PhD students and provides detailed research design guidance via her personal website.

Andrew Ollettمشاهده پروفایل

دانشیار

• Poetics
• History of Literature
• Intellectual History
• +۹ مورد دیگر

Andrew Ollett is an Associate Professor and Director of Graduate Studies in the Department of South Asian Languages and Civilizations at the University of Chicago , where he has taught since 2019. His research focuses on the literary and intellectual traditions of South and Southeast Asia, particularly through works in Sanskrit, Prakrit, Apabhramsha, and Kannada from the first millennium CE. Co-founder and editor of NESAR (New Explorations in South Asia Research) Director of NEH-funded edition/translation of the Kavirājamārga (earliest Kannada literary manual) Expert in Prakrit and Kannada literary traditions His work explores the 'question of language'—examining how language choice shaped cultural production and change in premodern India. Current projects include a monograph on context-sensitivity in Indian language theories and a study of manuscript technology's impact on early South Asian knowledge communities. He has authored The Mirror of Ornaments (Naples: Unior Press, 2025) and Language of the Snakes (UC Press, 2017), and co-authored Lilavai (Harvard, 2021). Recent publications include interdisciplinary studies on: Sanskrit-Prakrit campū genre reevaluation Pragmatics in Mīmāṁsā interpretive concepts Manuscript literacy's influence on literary forms Historical linguistics of Middle Indic syllable reduction Philosophy of language in Śālikanātha and Kumārila Bhaṭṭa Awarded the NEH 'Scholarly Editions and Translations' grant , he teaches classical South Asian literature courses covering Sanskrit, Prakrit, and Tamil traditions. He maintains digital resources including a Prakrit Digital Texts Project and Mīmāṁsādigdarśinī digital text repository, and actively contributes to open-access scholarship.

Lorenzo M. Polvaniمشاهده پروفایل

استاد

• Atmospheric Science
• Climate Modeling
• Arctic Studies
• +۴ مورد دیگر

Lorenzo M. Polvani is the Maurice Ewing and J. Lamar Worzel Professor of Geophysics at Columbia University, with dual appointments in the Department of Applied Physics and Applied Mathematics and the Department of Earth and Environmental Sciences. He has taught at Columbia for over 30 years and received multiple teaching awards. PhD in Physical Oceanography, MIT/Woods Hole Joint Program (1988) MSc and BSc in Physics, McGill University His research spans Atmospheric Science , Climate Modeling , and Arctic Studies , focusing on geophysical fluid dynamics, radiative forcing, and climate sensitivity. Recent work examines nonlinear climate responses to CO2 variations, Arctic amplification mechanisms, and volcanic aerosol impacts. Scientific publications reveal trends in radiative forcing , Arctic sea ice dynamics , stratospheric ozone effects , and climate feedback interactions . Key tools include the ClimKern Python package for radiative feedback analysis. Notable research includes: Nonlinear precipitation responses to volcanic eruptions High CO2 forcing effects on North Atlantic Oscillation Cloud feedbacks reducing hydrological sensitivity Arctic amplification through radiative-advective equilibrium Stratospheric ozone impacts on tropical climate patterns

• Econometrics
• Panel Data Analysis
• Time Series Analysis
• +۳ مورد دیگر

Joakim Westerlund is a Professor at the Department of Economics at Lund University, Sweden. His research focuses on econometrics, especially panel data econometrics, with expertise in estimation theory, unit root testing, and structural breaks. He teaches econometrics at all academic levels and has supervised numerous bachelor, master, and PhD theses. His work contributes to UN Sustainable Development Goals through methodological advancements in economic analysis. Westerlund has held a Wallenberg Academy Fellowship (2019–2028) and received the Journal of Applied Econometrics Distinguished Author Award in 2018. He collaborates internationally and actively contributes to academic conferences. His research spans theoretical econometrics, empirical applications, and econometric software development. Current PhD supervision includes students working on topics like robustness to structural breaks and human capital analysis. Key research interests include panel unit root tests, interactive effects models, and methodological innovations for handling cross-sectional dependence. His recent work addresses structural breaks in panel data and the New Keynesian Phillips Curve in European economies. He has published widely in top journals such as the Journal of Applied Econometrics and the Oxford Bulletin of Economics and Statistics.

Zaire Dinzey-Floresمشاهده پروفایل

دانشیار

• Urban Sociology
• Social Inequality
• Race and Ethnicity
• +۵ مورد دیگر

Zaire Dinzey-Flores is an Associate Professor in the Department of Sociology at Rutgers University. Her work examines how urban spaces shape community life and inequality through interdisciplinary frameworks in sociology, urban planning, and public policy, often comparing Caribbean and U.S. contexts. Education: PhD, University of Michigan (2005) Her research focuses on housing design, racial and class segregation, and the role of the built environment in perpetuating inequality. She explores topics such as real estate practices in Brooklyn, transatlantic housing policy, and mobile data analysis of racial segregation. Her publications span urban sociology, criminology, and postcolonial studies, highlighting intersections of race, housing, and policy. Recent work includes a 2023 study on Latina/o/x criminologies and a 2021 photographic exploration of American inequality. Scientific Awards: 2014 Robert E. Park Award (American Sociological Association) 2014 Honorable Mention, Frank Bonilla Book Award (Puerto Rican Studies Association) She serves as Vice Dean of Diversity, Equity, and Inclusion, actively mentoring students and collaborating on interdisciplinary projects related to urban inequality.

Jonathan A. Kelnerمشاهده پروفایل

استاد

• Algorithms
• Spectral Graph Theory
• Combinatorial Optimization
• +۷ مورد دیگر

Jonathan A. Kelner is a Professor of Applied Mathematics in the Department of Mathematics at the Massachusetts Institute of Technology (MIT) and a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on applying techniques from pure mathematics to solve fundamental problems in algorithms and complexity theory, with the goal of developing practical algorithms for real-world questions. Dr. Kelner received his undergraduate degree from Harvard University and his Ph.D. in Computer Science from MIT in 2006. Before joining the MIT faculty, he spent a year as a member of the Institute for Advanced Study. His educational background has provided a strong foundation for his interdisciplinary research spanning mathematics and computer science. His research interests include combinatorial optimization, mathematical programming, spectral graph theory, distributed computing, machine learning, computational geometry and topology, computational biology, signal processing, and random matrix theory. Kelner's work demonstrates how deep theoretical insights can lead to practical algorithmic improvements, particularly in graph algorithms and optimization problems. His approach often involves connecting seemingly disparate areas of mathematics to create novel algorithmic techniques. Analysis of his recent publications reveals a strong focus on spectral graph theory, optimization algorithms, and the Sum-of-Squares method. His work frequently addresses fundamental questions in theoretical computer science with practical implications for algorithm design. A notable trend in his research is the development of nearly-linear-time algorithms for various graph problems, which represents significant improvements over previous approaches. NSF CAREER Award Alfred P. Sloan Research Fellowship NEC Award for Research in Computers and Communication Sprowls Doctoral Dissertation Award Best Student Paper Award at STOC 2004 Best Paper Award at STOC 2011 Kokusai Denshin Denwa Junior Faculty Chair 2008 Harold E. Edgerton Faculty Achievement Award 2011 School of Science Award for Excellence in Undergraduate Education 2012 Professor Kelner has been actively involved in mentoring students and has received recognition for his teaching excellence, including the School of Science Award for Excellence in Undergraduate Education in 2012. His research has been supported by prestigious grants including the NSF CAREER Award. He has collaborated extensively with researchers across multiple institutions, often working with other leading figures in theoretical computer science to produce groundbreaking results in algorithm design. At MIT, Kelner is part of both the Mathematics Department and CSAIL, positioning him at the intersection of theoretical mathematics and practical computer science. This dual affiliation reflects the interdisciplinary nature of his work, which bridges pure mathematical theory with concrete algorithmic applications.