جستجوی استاد راهنمای دانشگاهی

• Speech Processing
• Natural Language Processing
• Computational Linguistics
• +۳ مورد دیگر

Mari Ostendorf serves as an Adjunct Professor in the Department of Computer Science and Engineering within the College of Engineering at the University of Washington, where she conducts research at the intersection of speech technology and computational linguistics with emphasis on spontaneous speech phenomena. Her educational foundation includes: PhD in an unspecified field, Stanford University (1985) Her research program systematically investigates: Speech Processing: Specializing in spontaneous speech characteristics and prosodic modeling Natural Language Processing: Focusing on conversational speech parsing and stance analysis Computational Linguistics: Integrating linguistic theory with machine learning approaches Prosody: Analyzing idiosyncratic speech patterns for language processing applications Stance Recognition: Developing computational methods for identifying speaker attitude and commitment Her work manifests in significant projects including the LiCORICE Project (2009-2011) as Principal Investigator and the ATAROS Project as Co-Principal Investigator, both advancing automatic spoken language processing through detailed modeling of speech prosody and stance phenomena. Analysis of her publication record reveals a consistent trajectory toward interdisciplinary integration of linguistic theory and machine learning for spoken language understanding, with particular emphasis on non-lexical cues and discourse markers in conversational contexts that bridge computational and cognitive approaches to language processing. No scientific awards were mentioned in the provided documentation. Her advising record includes PhD candidates Jeremy Kahn (2010 dissertation on conversational speech parsing) and Esther Le Grézause (2017 dissertation on stance expression). Her grant portfolio features the LiCORICE Project (2009-2011, PI with Emily M. Bender and Mark Zachry) and the ATAROS Project (Co-PI with Richard Wright and Gina Levow), demonstrating sustained research funding in speech technology. Her research operates within an interdisciplinary framework connecting computer science and linguistics, evidenced by collaborations spanning departments and contributions to dissertation defenses in the Linguistics program at the University of Washington.

Jo Barraketمشاهده پروفایل

استاد

• Social Enterprise
• Social Innovation
• Public Policy
• +۵ مورد دیگر

Professor Jo Barraket is a leading academic and researcher in social equity, social innovation, and public policy. As Director of the Melbourne Social Equity Institute and member of the Dilun Duwa Centre for Indigenous Business Leadership, she focuses on improving social equity through organizational innovation, cross-sector collaboration, and policy design. Her research addresses social procurement, health equity, digital inclusion, and employment pathways for marginalized groups. Her work includes landmark projects such as the Australian Digital Inclusion Index and evaluations of Commonwealth Social Enterprise Development Funds. She has secured over $11M in research grants, including multiple ARC grants, and produced over 75 scholarly publications. Her current projects compare social procurement policies in Australia and Scotland, and study youth unemployment in construction via employment-focused procurement. Key research themes include: social enterprise scaling strategies, cross-sector partnerships for policy implementation, and the role of philanthropy in equitable housing. She advises governments and OECD on inclusive employment policies and chairs major research initiatives like the Social Enterprise Impact Lab. Prof Barraket’s transdisciplinary approach combines rigorous academic research with practical outputs like policy guides and digital tools to maximize societal impact. She previously founded the Centre for Social Impact Swinburne, now a global leader in social economy research.

Jean Ohمشاهده پروفایل

پژوهشگر

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۵ مورد دیگر

Jean Oh is a Researcher at the Robotics Institute of Carnegie Mellon University (CMU) , leading the interdisciplinary Bot Intelligence Group (BIG) . Her work focuses on developing persistent robots that co-exist and collaborate with humans in shared environments, emphasizing continuous improvement through training, exploration, and human interaction. Education: Ph.D. in Language and Information Technologies, CMU M.S. in Computer Science, Columbia University B.S. in Biotechnology, Yonsei University Oh's research integrates vision, language, and planning systems in robotics, with applications in human-robot teaming , self-driving cars , disaster response , eldercare , and creative robotics . She has pioneered projects like socially-compliant robot navigation in human crowds and AI-driven robotic painting systems. Recent publication trends highlight her work in vision-language planning , social navigation , computational creativity , and human-robot collaboration . Notable contributions include the StyleCLIPDraw algorithm for text-to-art generation and Social-PatteRNN for human-like trajectory prediction. Scientific Awards: Best Paper Award in Cognitive Robotics (ICRA'18, ICRA'15) Best Systems Paper Finalist (HRI'25) Best Oral Paper Finalist (Humanoids'24) Best Paper in Entertainment (IROS'24) Argoverse Challenge Winner (CVPR'24) Best Student Paper (AIAA'24) Best Demo Finalist (RoboSoft'24) Oh mentors a diverse team of PhD, MS, and undergraduate students from CMU departments including Robotics, Computer Science, and Mechanical Engineering. Her research is funded by US Army Research Lab , DiDi Chuxing , and DARPA , with collaborations across industry and academia .

Michael Ben-Gadمشاهده پروفایل

استاد

• Macroeconomics
• Public Finance
• Economics of Immigration
• +۳ مورد دیگر

Professor Michael Ben-Gad is a Professor of Economics at City, University of London, where he has served since 2009. He previously held roles as Head of the Department of Economics (2010–2013) and Deputy Head (2008–2010). His research focuses on dynamic macroeconomics, taxation, public debt, immigration economics, and national security, with notable contributions to endogenous growth models and compositional data econometrics. He holds a PhD from the University of Chicago (1996) and has taught at institutions including the University of Houston and University of Haifa. Ben-Gad served on the U.S. National Academy of Sciences panel on immigration's economic and fiscal impacts (2014–2016) and received a 2017 Fellowship from the Royal Society of Arts (FRSA). His work spans academic journals (Economic Modelling, Journal of Economic Dynamics and Control) and media outlets (BBC, CNBC, Al Jazeera), addressing topics like Brexit economics, fiscal policy, and geopolitical challenges. He co-convenes the City Branch of Academics for Academic Freedom and is a founding member of London Universities' Council for Academic Freedom. His research grants include funding from HM Treasury/ESRC on fiscal policy and immigration (2011), the Israel Science Foundation (2007–2008), and the Samuel Ne'eman Foundation (2004). Professional roles include editorial board membership for Economic Affairs and membership of the ESRC Grant Assessment Panel (2021). He is proficient in Hebrew and contributes to policy debates on taxation, macroprudential frameworks, and defense economics.

Marlyse Baptistaمشاهده پروفایل

استاد

• Language Contact
• Cognitive Linguistics
• Pidgins and Creoles
• +۴ مورد دیگر

Marlyse Baptista is the President's Distinguished Professor of Linguistics at the University of Pennsylvania, Department of Linguistics. She is affiliated with the School of Arts & Sciences and MindCore initiative. Her research focuses on language contact, creolization processes, bilingualism, and experimental methods in creole studies. Baptista leads the Language Contact and Cognition Lab, previously known as the Cognition, Convergence and Language Emergence (CCLE) group at the University of Michigan. Education includes a PhD in Linguistics (Harvard, 1997), MA degrees from Harvard and the Université de Bordeaux III, and extensive training in multilingual education. Her work bridges generative syntax with experimental approaches, including artificial language learning to study language convergence. Key themes include the cognitive underpinnings of creole formation, bidirectional influences in Cape Verdean Creole, and the role of congruence in language acquisition. Research highlights include studies on Cape Verdean Creole's grammatical properties, genetic-linguistic admixture correlations, and pedagogical resources for creole language education. Recent projects explore experimental validation of creole genesis theories through multilingual acquisition studies. Scientific Awards: President's Distinguished Professorship (University of Pennsylvania) Labs/Teams: Language Contact and Cognition Lab, MindCore Grants/Projects: MULTI Project (creole language educational resources), NSF-funded studies on creole genesis mechanisms Baptista's work emphasizes interdisciplinary approaches, integrating syntax theory, psycholinguistics, and sociolinguistics to address foundational questions in contact linguistics and creolistics.

Stephen Lichtمشاهده پروفایل

دانشیار

• Marine Robotics
• Biologically Inspired Propulsion
• Nonlinear Attitude Control
• +۵ مورد دیگر

Stephen Licht is an Associate Professor of Ocean Engineering and Graduate Director at the University of Rhode Island's College of Engineering, where he directs the Robotics Laboratory for Complex Underwater Environments (R-CUE). His research focuses on developing maritime robots capable of operating in dynamic and unpredictable environments through biologically inspired propulsion, distributed pressure sensing, model-based optimal control, and compliant underwater manipulation technologies. Ph.D. in Oceanographic and Mechanical Engineering from MIT/WHOI Joint Program (2008) B.S. in Mechanical Engineering from Yale University (1998) Former Senior Research Scientist at iRobot and Senior Robotics Engineer at Vecna Robotics Current Research Affiliate with MIT Department of Mechanical Engineering Former Visiting Faculty at Libera Università di Bolzano (2019-2020) Dr. Licht's research spans marine robotics with emphasis on biologically inspired propulsion systems that provide high authority and bandwidth thrust, nonlinear attitude control for maneuvering in dynamic conditions, compliant underwater manipulation technologies, and unmanned aerial monitoring of coastal structures. His work bridges mechanical engineering principles with oceanographic applications to create more capable underwater robotic systems that can operate in complex marine environments. His recent publications demonstrate a strong trend toward soft robotics applications for deep-sea exploration, with particular focus on jamming grippers and neutrally buoyant manipulation systems. The research also shows increasing integration of additive manufacturing techniques for field-deployable solutions and computational methods for autonomous systems operating in challenging marine environments. His work spans fundamental control theory, mechanical design, and practical field applications. Dr. Licht has secured significant research funding as both Principal Investigator and Co-Principal Investigator from major organizations including the Office of Naval Research, NOAA, NSF, and various university collaborations. His grants focus on advancing unmanned underwater vehicle technology, soft robotics for deep-sea applications, and coastal monitoring systems. Active mentor to numerous graduate and undergraduate students in Ocean Engineering Successful track record of student placements at organizations including Jaia Robotics, Scripps Institution of Oceanography, FORSSEA Robotics, and government research labs Collaborates with researchers at MIT, WHOI, University of Connecticut, University of Maine, and international institutions Licht leads the R-CUE lab which develops innovative solutions for underwater robotics challenges, with particular expertise in biomimetic propulsion, soft robotics for deep-sea applications, and autonomous systems for environmental monitoring. The lab maintains strong industry connections with OceanGate Inc. and FabNewport, and engages with local educational institutions through outreach programs with Roger Williams Middle School.

Carl Vondrickمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Multimodal Perception
• +۱۱ مورد دیگر

Carl Vondrick is a Professor in the Department of Computer Science at Columbia University. His research focuses on creating robust and versatile perception systems that leverage video and interaction with the natural world, with applications in 3D reconstruction, visual question answering, and robot manipulation. Former research scientist at Google Visiting researcher at Cruise Education: PhD (2017) from MIT, advised by Antonio Torralba BS (2011) from UC Irvine, advised by Deva Ramanan His research explores multimodal approaches for cross-task and cross-modal transfer, scene dynamics, audiovisual perception, interpretable models, and spatial awareness systems. The lab emphasizes zero-shot generalization and neuro-symbolic methods while addressing safety and robustness in AI systems. Key publication trends include: 2025: Video generation for robotics 2024: Differentiable rendering and cross-modal reasoning 2023: Robust perception and 3D modeling Scientific Awards: 2024 PAMI Young Researcher Award 2021 NSF CAREER Award Teaching Roles: Teaching Computer Vision II (2021-2025), Computer Vision I (2018-2019), and Representation Learning (2020-2022). Advising: Advises 8 current PhD students and has mentored 5 graduated students now at institutions like MBZUAI and UMD. The lab recruits 1-2 PhD students annually through Columbia’s PhD program. Grants and Collaborations: Funded by NSF, DARPA, Toyota Research Institute, Amazon Research, and Google.

Kim Jeong Wonمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Policy
• Climate Change Policy
• Policy Diffusion Among Governments
• +۳ مورد دیگر

Dr. Kim Jeong Won is a Senior Research Fellow at the Energy Studies Institute (ESI), National University of Singapore, where she has been since March 2019. She holds a PhD in Energy and Environmental Policy from Korea University's Green School, an MPA from Korea University, and a MPP from the Harris School of Public Policy Studies, University of Chicago. Her research focuses on renewable energy and climate change policy, policy diffusion among governments, and quantitative policy evaluation methods. Dr. Kim has extensive experience in policy analysis and project management, including roles at the Korea Environment Institute (KEI), UNWTO ST-EP Foundation, and Global Green Growth Institute (GGGI). Her work emphasizes vertical and horizontal policy diffusion mechanisms, particularly in energy and climate sectors. She specializes in analyzing policy instrument combinations and designing evaluation frameworks for development projects. Her publications explore urban climate adaptation strategies in South Korea, renewable energy investment requirements for developing countries, and comparative analyses of energy storage systems competitiveness. She has contributed to policy reports for South Korean governments and international organizations, focusing on sustainable energy transitions and green growth frameworks. Dr. Kim's research bridges academic rigor with practical policy implementation, emphasizing quantitative methodologies to assess policy effectiveness. She actively participates in international development projects and contributes to global discussions on climate finance and energy policy design.

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.

Robert Westمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Machine Learning
• Computational Social Science
• +۴ مورد دیگر

Robert West is an Associate Professor at EPFL (École polytechnique fédérale de Lausanne) in the School of Computer and Communication Sciences , leading the Data Science Lab (dlab) . His research focuses on Natural Language Processing , Machine Learning , and Computational Social Science , analyzing human-generated data from the web, social media, and online platforms. Education : PhD in Computer Science (2016) - Stanford University MSc in Computer Science (2010) - McGill University BSc in Computer Science (2007) - Technische Universität München Research Interests : West develops algorithms for analyzing large-scale web data, with emphasis on multilingual NLP , social network analysis , and AI ethics . His work bridges machine learning with social science to understand digital human behavior. Scientific Awards : ICWSM’22 Adamic–Glance Distinguished Young Researcher Award Google Faculty Research Award Facebook Research Award Multiple Outstanding Paper Awards at ICWSM and WWW Advising & Grants : He advises 12 PhD students and has secured funding from the Swiss National Science Foundation , Swiss Data Science Center , and industry partners. His lab maintains collaborations with Microsoft Research and CROSS . Labs & Collaborations : West leads the Data Science Lab at EPFL, which focuses on web-scale data analysis , privacy-preserving machine learning , and AI for social good . The lab develops tools like Wikispeedia and Quotebank for public data exploration.

Laurel MacKenzieمشاهده پروفایل

دانشیار

• Variationist Sociolinguistics
• Dialectology
• Language Change
• +۵ مورد دیگر

Laurel MacKenzie is an Associate Professor in the Department of Linguistics at New York University (NYU), affiliated with the Faculty of Arts and Science. She specializes in variationist sociolinguistics, dialectology, and language change, with a focus on English and French varieties. Her work integrates quantitative analysis of speech data to explore intra-speaker variation and language evolution. She co-directs the NYU Sociolinguistics Lab and leads the NSF-funded NYC Individual Differences Corpus project, alongside the Our Dialects initiative, an online atlas of British English dialects. Education: PhD in Linguistics, University of Pennsylvania (2012) BA in Linguistics and French, University of California, Berkeley (2006) Research Interests: Morphological and syntactic variation Regional dialects of English and French Linguistic pedagogy and public engagement Recent Projects: Recent work includes publications on participle leveling in English, sociolinguistic replication studies, and grammatical variation analysis. She has also collaborated on dialect mapping tools and consulted for media projects on language change and accents. Awards: No awards explicitly listed in provided texts. Labs/Teams: NYU Sociolinguistics Lab (Co-Director) Our Dialects Project (Academic Lead)

Kristen Graumanمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Graphics and Visualization
• +۸ مورد دیگر

Kristen Grauman is a Full Professor in the Department of Computer Science at the University of Texas at Austin, where she leads the UT Computer Vision Group. Her research focuses on computer vision and machine learning, with applications in visual recognition, video analysis, and multi-modal perception. She received her B.A. from Boston College and her Ph.D. from MIT. Her research interests span visual recognition, image and video search, video analysis, first-person vision, embodied and multi-modal perception, and interactive machine learning. She has made significant contributions to the field, particularly in developing algorithms for understanding visual content and human activities from video, including foundational work on the Pyramid Match Kernel and relative attributes. Her recent publications reveal a strong emphasis on egocentric (first-person) vision, audio-visual learning, and view-invariant representations. There is a clear trajectory toward multi-modal integration (vision, audio, language) and real-world applications in instructional videos, human activity understanding, and embodied AI systems. She has received numerous awards including: AAAI Fellow (2019) J. K. Aggarwal Prize, International Association for Pattern Recognition (2018) Helmholtz Prize (2017) UT Austin Academy of Distinguished Teachers (2017) Best Paper Award, Asian Conference on Computer Vision (2016) Presidential Early Career Award for Scientists and Engineers (2014) Computers and Thought Award, International Joint Conferences on Artificial Intelligence (2013) Pattern Analysis and Machine Intelligence Young Researcher Award (2013) Alfred P. Sloan Research Fellow (2012) Marr Prize (2011) Prof. Grauman serves as Associate Editor-in-Chief for the IEEE Transactions on Pattern Analysis and Machine Intelligence. She has secured substantial research funding including the Presidential Early Career Award, NSF grants, and industry partnerships. Her advising has produced numerous influential publications and students who are now leaders in computer vision. She leads the UT Computer Vision Group, which collaborates closely with the Electrical and Computer Engineering Department. The group is pioneering large-scale egocentric video research through projects like Ego4D and Ego-Exo4D, focusing on real-world applications in human activity understanding, audio-visual perception, and interactive systems.

Robert JOLIETمشاهده پروفایل

دانشیار

• Finance
• Portfolio Management
• SRI (Socially Responsible Investing)
• +۳ مورد دیگر

Robert JOLIET is an Associate Professor of Finance at IÉSEG School of Management in France. He holds a Ph.D. in Economics and Management from HEC-ULg Management School (Belgium) and has held various academic leadership roles, including Director of Academic Development and Academic Director of the PGE (MSc in Management). His research focuses on finance, portfolio management, SRI (Socially Responsible Investing), and corporate finance, with a particular emphasis on international expansion, capital structure, and sustainable investment strategies. Education: 2008: Ph.D. in Economics and Management, HEC-ULg Management School, Belgium 2004: Master of Advanced Studies (DEA), Management Sciences (Finance), University of Liège, Belgium 2002: Master of Science in Business Engineering (Finance), University of Liège, Belgium Research interests span SRI fund dynamics, corporate social responsibility valuation, international debt policies, and market liquidity. Notable contributions include analyzing the impact of SRI mutual funds on corporate governance and environmental practices, and exploring the stability of sovereign debt structures in the Eurozone. Awards include the 2005 FORTIS Award (Third Prize) and the 2003 E.G. de Barsy Doctoral Fellowship. He has published extensively in journals like Economics Letters and Journal of Banking & Finance . Academic leadership roles include directing programs and departments at IÉSEG, alongside coordinating the Finance Track and managing academic development initiatives. His teaching focuses on financial data analysis, active portfolio management, and investment strategies in capital markets. He is a member of the LEM (Laboratoire d'Économie Moderne) research group and contributes to interdisciplinary research in finance and economics.

Sheng Shenمشاهده پروفایل

استاد

• Nanophotonics
• Nanoscale Energy Transport and Conversion
• Advanced Manufacturing
• +۷ مورد دیگر

Sheng Shen is a Professor in the Mechanical Engineering Department at Carnegie Mellon University (CMU) , with courtesy appointments in the Departments of Electrical and Computer Engineering and Materials Science and Engineering . He earned his Ph.D. in Mechanical Engineering (Minor in Electrical Engineering) from Massachusetts Institute of Technology (MIT) , and his B.S. and M.S. from Huazhong University of Science and Technology in China. Prior to joining CMU in 2011, he conducted postdoctoral research at UC-Berkeley . Education: Ph.D., Mechanical Engineering, MIT (2010) B.S. & M.S., Power Engineering & Engineering Thermophysics, Huazhong University of Science and Technology (2000 & 2003) Research interests include nanophotonics , nanoscale energy transport and conversion , nanofabrication , and advanced manufacturing , with applications in thermal management , light sources and devices , thermal emission control , solar energy conversion , infrared sensing , and multifunctional materials . His work leverages interdisciplinary expertise in thermal and optical measurements , material synthesis , device fabrication , and theoretical modeling . Recent publications highlight advancements in infrared radiation control , thermal interface materials , metasurface engineering , and graphene-based nanosystems . His scientific awards include: NSF CAREER Award DARPA Director's Fellowship DARPA Young Faculty Award Elsevier/JQSRT Raymond Viskanta Award CMU Dean's Early Career Fellowship Philomathia Foundation Research Fellowship Hewlett-Packard Best Paper Award Best Paper Award, Julius Springer Forum Advising spans Ph.D. and postdoctoral researchers in nanoscale energy systems, with alumni contributing to solar energy conversion , infrared sensing , and flexible electronics . His lab receives funding from ARL, DARPA, DOE, DTRA, NASA, NSF, and ONR , and recently secured a DURIP award for instrumentation.

Xin Guoمشاهده پروفایل

استاد

• Mathematical Finance
• Financial Engineering
• FinTech
• +۷ مورد دیگر

Xin Guo is Professor and Department Chair of Industrial Engineering and Operations Research (IEOR) at UC Berkeley's College of Engineering, holding the Coleman Fung Chair in Financial Modeling. Her research bridges mathematical finance, stochastic control, and machine learning with applications in risk analytics and quantitative trading. Education: Ph.D. in Mathematics, Rutgers University (1999) Research Interests: Professor Guo's work centers on mathematical finance , stochastic games , and reinforcement learning . She develops theoretical frameworks for α-potential games and mean-field systems while applying signature methods and GANs to financial data. Her research addresses critical problems in portfolio optimization, fraud detection (e.g., Medicare analytics), and market forecasting, emphasizing the intersection of stochastic control with machine learning for real-world decision-making under uncertainty. Publication Trends: Recent work (2023-2025) shows increasing focus on multi-agent reinforcement learning through mean-field game theory, with applications spanning finance (corporate bonds, trading), healthcare (fraud detection), and transportation (rate forecasting). Key innovations include BSDE approaches for stochastic games, signature-based time series analysis, and theoretical guarantees for GAN training dynamics. Scientific Awards: Holds the prestigious Coleman Fung Chair in Financial Modeling, reflecting significant contributions to quantitative finance research. Advising and Grants: As IEOR Department Chair, Professor Guo mentors graduate students in stochastic modeling and financial engineering. Her research is supported by the Coleman Fung Endowment Fund, with collaborations spanning finance, healthcare, and transportation sectors through industry partnerships. Labs and Teams: Leads the Risk Analytics & Data Analysis Research (RADAResearch) Lab ( https://risklab.ieor.berkeley.edu/ ), which develops cutting-edge methodologies for risk assessment, data-driven decision-making, and game-theoretic solutions to complex systems. The lab fosters interdisciplinary work connecting mathematical theory with practical applications in FinTech and beyond.