جست‌وجوی استاد و پژوهشگر

Jiaxuan Youمشاهده پروفایل

استادیار

• Graph Neural Networks
• Relational Data
• Machine Learning Systems
• +۹ مورد دیگر

Jiaxuan You is an Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, leading the U Lab focused on achieving Artificial General Intelligence (AGI) in digital environments. His research spans graph neural networks (GNNs), relational data, foundation models, and machine learning systems. PhD and MS in Computer Science from Stanford University (2021) Developed GraphGym and PyTorch Geometric (PyG) for graph learning Core member at Kumo AI (2021-2023) His research explores: Graph-enhanced LLMs: Integrating relational structures into foundation models AGI Development: Self-optimizing AI agents and tool utilization ML Systems: Scalable architectures and redundancy-free computation Interdisciplinary Applications: Financial networks, crop yield prediction, and metro systems Recent publications focus on temporal reasoning, multi-agent dynamics, and hybrid architectures for LLMs. He actively develops open-source tools like DBGYM and GraphRouter. Scientific recognition includes: JPMC PhD Fellowship Baidu Scholarship Best Student Paper at AAAI 2017 World Bank Big Data Innovation Challenge winner He mentors PhD and intern students, emphasizing machine learning systems expertise. His lab collaborates on AGI workshops (e.g., ICLR 2024) and industry projects.

Pierre De Leoمشاهده پروفایل

استادیار

• International Macroeconomics
• Monetary Economics
• Finance
• +۳ مورد دیگر

Pierre De Leo is an Assistant Professor in the Department of Economics at the University of Maryland. His research focuses on international macroeconomics, finance, and monetary policy, particularly the role of expectations in identifying economic shocks, exchange rate dynamics, and optimal policy conduct. During Spring 2025, he will also be visiting the Federal Reserve Bank of Boston. Education: PhD and MA in Economics, Boston College BA and MA in Economics (highest honors), University of Milan - Bicocca Research Interests: De Leo explores topics such as exchange rate fluctuations, monetary policy design, and the impact of global investors on bond markets. His work bridges theoretical frameworks with empirical analysis to address policy-relevant questions in open economies, emphasizing the interplay between expectations and macroeconomic outcomes. Recent Articles: His publications analyze themes like the disconnect between short-term interest rates and policy, speculation in emerging markets, and the implications of imperfect exchange rate expectations. These studies highlight his focus on bridging theory and real-world policy challenges. Labs/Teams: No specific labs or teams are explicitly mentioned in the provided texts. However, his research aligns with broader initiatives in international macroeconomics and monetary policy at the University of Maryland.

David Stillwellمشاهده پروفایل

استاد

• Psychometrics
• Computational Social Science
• Big Data Analytics
• +۳ مورد دیگر

David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.

Siân Bayneمشاهده پروفایل

استاد

• Higher Education Futures
• Utopian Studies
• Digital Education
• +۹ مورد دیگر

Professor Siân Bayne is a leading academic in digital education at the University of Edinburgh , where she serves as Assistant Principal for Education Futures and directs the Centre for Research in Digital Education . Her work bridges critical theory and practical innovation in higher education. Interdisciplinary research on digital education and futures studies Leadership in the Edinburgh Futures Institute and Moray House School of Education and Sport Global impact through UNESCO collaborations and UKRI GCRF projects Bayne’s research explores higher education futures , utopian theory , and digital enhancement , with a focus on: AI’s role in teaching and learning Ethical implications of educational technologies Anonymous social media in academic spaces Speculative scenarios for educational systems Global South digital education models Augmented reality applications in assessment Her 15 most recent publications span 2017-2025 , covering critical perspectives on: Generative AI and educational innovation Utopian design in universities Data governance in learning analytics Augmented reality pedagogy Digital cultural heritage Scientific recognition includes: IASH Sabbatical Fellowship (2023) Bayne leads Higher Education Futures initiatives and partners with institutions worldwide, including: UNESCO Global Education and Technology Report World Bank collaborations European university leadership programs She also drives major research centers like: Centre for Research in Digital Education UKRI GCRF Urban Disaster Risk Hub

Emily Soمشاهده پروفایل

استاد

• Disaster Risk Reduction
• Earthquake Engineering
• Urban Resilience
• +۵ مورد دیگر

Professor Emily So serves as Deputy Head of the School of Arts and Humanities at the University of Cambridge and directs the Cambridge University Centre for Risk in the Built Environment (CURBE). A chartered civil engineer with extensive field experience, she holds leadership roles in the Open-Oxford-Cambridge AHRC Doctoral Training Partnership and chairs the Faculty EDI Committee. Her research focuses on urban risk and resilience , particularly in earthquake-prone regions. Combining structural engineering with epidemiological approaches, she develops innovative casualty estimation models and engages directly with affected communities worldwide. Her work spans seismic safety, disaster epidemiology, and remote sensing applications for rapid damage assessment. Professor So's publication trends reveal strong emphasis on machine learning for disaster risk modeling , with recent work featuring graph neural networks, deep clustering for urban morphology, and LSTM-based population forecasting. Her research bridges engineering, social sciences, and data science to address resilience in developing nations. 2010 Shah Family Innovation Prize (Earthquake Engineering Research Institute) Fellow of the Institution of Civil Engineers (FICE) Scientific Advisory Group for Emergencies (SAGE) member advising UK government As Director of CURBE, she leads interdisciplinary collaborations with EEFIT, Global Earthquake Model (GEM), World Bank, and USGS. Her field investigations following major earthquakes inform practical solutions for vulnerable communities, notably contributing to the 2017 World Building of the Year design in China. Current work includes sabbatical research for 2025-2026 focused on decolonizing architectural approaches to disaster resilience. Professor So maintains active roles in professional organizations and international disaster response frameworks, with her CURBE team developing methodologies now implemented globally for seismic safety improvements.

Erik Bohlinمشاهده پروفایل

استاد

• Telecommunications Policy
• Digital Economy
• Regulatory Economics
• +۴ مورد دیگر

Erik Bohlin is a Professor at Western University's Ivey Business School in the Business, Economics and Public Policy department. He holds the Ivey Chair in Telecommunication Economics, Policy and Regulation and serves as Editor-in-Chief of Telecommunications Policy . Currently on leave from Chalmers University of Technology, he combines economic theory with telecommunications policy analysis. PhD in Economics of Technology from Chalmers University of Technology (1995) BA in Business Administration and Economics from Stockholm School of Economics (1987) Masters and Bachelor in Theology from Community Chapel College (1984-1985) His research focuses on telecommunications policy, digitalization's socioeconomic impact, broadband regulation, and technology diplomacy. He examines network effects, market entry strategies, and digital infrastructure's role in economic growth. Recent publications analyze 5G regulation, AI's societal impact, digital technology adoption strategies, and broadband's economic effects. These works span telecommunications economics, policy analysis, and technology's macroeconomic influence. Scientific Affiliation : Member of Swedish Royal Academy of Engineering Past Chair of International Telecommunications Society Teaching activities include developing and instructing graduate courses on Digital Strategy and Policy. The Chair receives funding from Ivey Business School, Bell Canada, and TELUS.

• Macroeconomic Theory
• Monetary Economics
• Macroeconometrics
• +۷ مورد دیگر

Jordi Galí is a Professor at the Department of Economics and Business at Universitat Pompeu Fabra (UPF), a Senior Researcher at the Center for Research in International Economics (CREI), and a Research Professor at the Barcelona School of Economics (BSE). He holds a PhD from MIT and has played a central role in shaping modern macroeconomic theory, particularly the New Keynesian framework used by central banks worldwide. Education: PhD in Economics, Massachusetts Institute of Technology (MIT), 1989 Master in International Management, ESADE, 1985 Bachelor in Economics, Universitat Pompeu Fabra, 1994 His research focuses on macroeconomic theory, monetary economics, and macroeconometrics. He is best known for his work on the New Keynesian Phillips Curve, optimal monetary policy rules, and the role of technology and expectations in business cycles. His influential book, Monetary Policy, Inflation and the Business Cycle , is a standard reference in graduate programs globally. The most recent articles highlight a continued focus on critical issues in modern macroeconomics: the implications of a low natural rate of interest (r*), the effectiveness of monetary policy at the zero lower bound, the role of wage and price flexibility, and the interaction between fiscal and monetary policy. His work increasingly integrates heterogeneity, financial frictions, and experimental methods, reflecting the evolving frontiers of the field. Scientific Awards: BBVA Foundation Frontiers of Knowledge Award (2025) Yrjo Jahnsson Award (2005) Premi Rei Jaume I d'Economia (2004) Premio Nacional de Investigación “Pascual Madoz” (2022) Three ERC Advanced Grants Foreign Honorary Member, American Economic Association (2020) Galí has advised numerous central banks, including the ECB, Federal Reserve, and Banque de France. He has held leadership roles as President of the European Economic Association (2012), co-editor of the Journal of the European Economic Association , and co-director of the CEPR International Macroeconomics Programme. He is a Research Fellow at CEPR, a Research Associate at NBER, and a Fellow of the Econometric Society. He has also been actively involved in public policy debates in Spain and Europe, particularly on issues of productivity, labor market reform, and fiscal policy. His research program continues to explore the design of stabilization policies in open and currency union economies.

• Financial Technology (FinTech)
• Digital Innovation
• Payment Systems
• +۵ مورد دیگر

Professor Markos Zachariadis is the Chair in Financial Technology (FinTech) and Full Professor of Information Systems at Alliance Manchester Business School (AMBS), University of Manchester. He also directs the Centre for Financial Technology Studies (CFTS) and holds roles such as FinTech Research Fellow at the Cambridge Centre for Digital Innovation and member of the World Economic Forum’s Global Future Council on Financial Systems. His research focuses on the intersection of digital innovation, financial technology, and network economics, with notable studies on payment systems (e.g., SWIFT), Open Banking, and blockchain. He has authored/co-authored influential works like The Society for Worldwide Interbank Financial Telecommunication (SWIFT) (2014) and co-edited The PAYTECH Book (2020). Education: PhD in Management (Economics of Payment Systems) from the London School of Economics (2011), MSc in ADMIS (2004), and BSc in Economics from the University of Patras (2003). Prior academic roles include Associate Professor at Warwick Business School and Visiting Professorships at Ivey Business School and Cambridge Judge Business School. Industry experience includes roles at UBS Investment Bank and Hewlett Packard. Research Interests: Economic impacts of ICT adoption in banking, diffusion of payment networks, data standards, Open Banking, blockchain, and regulatory frameworks. Awards include the NET Institute Award and SWIFT Institute Awards for research on payment systems and digital transformation. He advises global organizations like the Hellenic Competition Commission and frequently engages with media outlets such as BBC, CNN, and The Financial Times. Key Projects: Organized an international PayTech conference funded by Gates Foundation and MasterCard. Co-led the Centre for Digital Trust and Society (2021–present) and the Fintech and Financial Crimes project (2021–2022). His work contributes to UN SDGs related to innovation and financial inclusion. Labs/Teams: Founded the Centre for Financial Technology Studies (CFTS) at AMBS, part of interdisciplinary initiatives like the Centre for Digital Trust and Society.

Markos Zachariadisمشاهده پروفایل

استاد

• Financial Technology (FinTech)
• Economics of Networks
• Digital Innovation & Productivity
• +۶ مورد دیگر

Professor Markos Zachariadis is the Chair in Financial Technology (FinTech) and Information Systems at Alliance Manchester Business School (AMBS), University of Manchester. He holds roles in the World Economic Forum’s Global Future Council on Resilient Financial Systems and is a FinTech Research Fellow at the Cambridge Centre for Digital Innovation. His research focuses on the economics of digital innovation, payment systems (e.g., SWIFT), and Open Banking. Zachariadis has authored/co-authored influential works such as The Society for Worldwide Interbank Financial Telecommunication (SWIFT) and contributes to policy discussions globally. Education: PhD in Management (Economics of Payment Systems), London School of Economics (2011) MSc in Analysis, Design and Management of Information Systems, London School of Economics (2004) Bachelor of Economics, University of Patras (2003) Research Interests: Financial Technology, Payment Networks, Digital Innovation, Data Standards, Blockchain, and Regulatory Impact. His work bridges academia and industry, addressing challenges in financial infrastructure and digital transformation. Awards: Recipient of prestigious awards including the NET Institute Award and SWIFT Institute Award for contributions to payment systems and Open Banking research. Grants & Advisory Roles: Leads projects on FinTech regulation and financial crime, collaborating with institutions like the Hellenic Competition Commission. His advisory roles span global organizations including the Bank of England and European Commission. Labs/Teams: Founding Director of the Centre for Financial Technology Studies (CFTS) at Manchester Business School, fostering interdisciplinary research in FinTech.

Martin Solbergerمشاهده پروفایل

دانشیار

• Time Series Econometrics
• Macroeconomic Forecasting
• Latent Time Series Estimation
• +۳ مورد دیگر

Martin Solberger is an Associate Professor in the Department of Statistics at Uppsala University, where he received his PhD in statistics in 2013 and was promoted to associate professor in 2022. His office is located at Ekonomikum (3rd floor), Kyrkogårdsgatan 10, with postal address Box 513, 751 20 UPPSALA. Dr. Solberger specializes in time series econometrics with particular expertise in macroeconomic forecasting and estimation of latent time series variables including potential GDP and the neutral interest rate. His research demonstrates sophisticated methodological approaches to dynamic factor models, unit root testing, and interest rate analysis, frequently employing Kalman filtering techniques and Bayesian VAR modeling. His publication record reveals a strong focus on Scandinavian economic analysis, particularly examining the natural rate of interest and neutral interest rate dynamics within Swedish and broader Nordic contexts. Recent work shows increasing attention to international spillover effects on domestic monetary policy variables and methodological refinements in panel data econometrics. Through extensive collaboration with researchers including Spånberg, Armelius, and Österholm, Solberger has established himself as a significant contributor to modern time series econometrics methodology and its application to central banking and fiscal policy questions.

Sascha Struweمشاهده پروفایل

پژوهشگر ارشد

• Service Innovation
• Service Design
• Value Co-Creation
• +۴ مورد دیگر

Sascha Struwe serves as a Postdoctoral Researcher at Aalborg University Business School within the Faculty of Social Sciences and Humanities, actively contributing to the International Business Research Group. Based at Fibigerstræde 11 in Aalborg Øst, Denmark, Struwe operates at the intersection of service innovation theory and business practice with international focus. Research expertise centers on service innovation , value co-creation , and digital servitization , particularly examining B2B contexts and open banking ecosystems. Work consistently explores institutional influences through German-Chinese case studies, addressing how cultural and regulatory frameworks shape service design. Recent trajectories reveal evolution from foundational service design challenges (2019-2021) toward digital transformation implications (2022-2023), with emphasis on value co-destruction mechanisms in financial ecosystems. Struwe led the PhD project Innovating the Invisible and Intangible: Value Creation in B2B service (2018-2021) investigating co-creation capabilities across industrial sectors. Academic engagement includes conference participation at EIBA and CICALICS events, plus a visiting researcher appointment at Fudan University's Nordic Centre (2019-2020). Current work continues through the International Business Research Group, focusing on digital literacies and service ecosystem resilience.

Chuck Fangمشاهده پروفایل

استادیار

• Credit Markets
• Monetary Policy
• Financial Innovations
• +۷ مورد دیگر

Chuck Fang is an Assistant Professor of Finance at Drexel University's LeBow College of Business. He holds a PhD in Finance from UPenn Wharton (2023) and BAs in Economics, Mathematics, and Statistics from UC Berkeley (2015). His research is centered on credit markets, monetary policy, financial innovations, and financial data infrastructure. PhD in Finance, UPenn Wharton, 2023 BAs in Economics, Mathematics, and Statistics, UC Berkeley, 2015 His research interests span credit markets , monetary policy transmission , financial innovations (including DeFi and automated market makers), and financial data linkage (e.g., Bond-Compustat-CRSP and DealScan-Compustat links). His work explores how monetary policy affects bond fund flows, debt structure changes, and sovereign restructuring. He emphasizes data quality and transparency, contributing open-source tools for empirical finance. The most recent articles reveal a strong focus on monetary policy amplification , debt market structure , and data infrastructure for empirical research. Keywords across publications include finance, monetary policy, asset pricing, fintech, and data linkage. Subfields consistently involve bond fund flows, syndicated loans, sovereign debt restructuring, DeFi mechanisms, and financial data validation. His research bridges macroeconomic policy with micro-level financial data, often using large-scale institutional holdings and transaction data. Scientific awards include: WFA Brattle Group PhD Candidate Award for Outstanding Research Chuck Fang has advised no students listed in the materials. He has secured research recognition through conference presentations and working paper awards. His work is supported by access to major financial databases and collaboration with leading scholars such as Kairong Xiao and Greg Nini. He actively disseminates findings through SSRN, Google Scholar, and academic conferences. He leads or contributes to several data infrastructure projects, including the Bond-Compustat-CRSP Link and DealScan-Compustat Link. These tools enhance empirical research in corporate finance and asset pricing by improving issuer identification and data accuracy. He also maintains a personal website and is active on professional platforms like LinkedIn and Twitter, promoting open science and financial research transparency.

Jonathan Shihao Jiمشاهده پروفایل

دانشیار

• Deep Learning
• Computer Vision
• Natural Language Processing
• +۵ مورد دیگر

Jonathan Shihao Ji is an Associate Professor in the School of Computing at the University of Connecticut (UConn), leading the Intelligent Systems Lab. He holds a Ph.D. in Electrical and Computer Engineering from Duke University and previously served as an Associate Professor at Georgia State University and Director of the DoD Center of Excellence (CiARE). His research focuses on deep learning applications in computer vision, NLP, robotics, and high-performance computing, with over 50 publications in top venues like CVPR, NeurIPS, and IEEE journals. He has secured grants from NSF, NIH, DoD, and industry partners including VMware and Nvidia. His work emphasizes efficient algorithms for large-scale data processing, parameter-efficient model fine-tuning (e.g., VB-LoRA), and 3D perception benchmarks for UAVs (UAV3D). Notable contributions include sparse network optimization (Dep-L0), energy-based models (M-EBM), and robust defenses against adversarial attacks (Defense-VAE). He is a Senior Member of IEEE and has developed open-source tools like Parallel Word2Vec and WordRank. Recent projects include accelerating Llama2 models on FPGAs (LlamaF) and improving text-to-image synthesis via contrastive learning. His research spans theoretical advancements and practical applications, with industry collaborations in healthcare, robotics, and embedded systems.

Fabio Milaniمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Economics
• International Macroeconomics
• +۳ مورد دیگر

Professor Fabio Milani is a faculty member in the Department of Economics at the University of California, Irvine (UCI), where he also serves as Director of Graduate Studies for the Economics Ph.D. Program. He holds a Laurea in Economics from Bocconi University (2000) and a Ph.D. in Economics from Princeton University (2006). His research focuses on Macroeconomics, Monetary Economics, International Macroeconomics, and Time Series Econometrics, with an emphasis on deviations from rational expectations and the impact of learning behavior on macroeconomic fluctuations. Professor Milani’s work explores how psychological factors and heterogeneous expectations drive economic outcomes, including business cycles and inflation dynamics. He has extensively analyzed the role of sentiment, news shocks, and adaptive learning in macroeconomic models. His teaching spans Ph.D. courses like Macroeconomic Theory and Advanced Macroeconomics, as well as undergraduate courses on Financial Markets and the Macroeconomy. He advises numerous Ph.D. students, many of whom hold academic and policy roles globally. His publications span over 30 articles in top journals, including the Economic Journal , Journal of Economic Dynamics and Control , and Journal of Monetary Economics . Recent research includes studies on inflation tolerance, heterogeneous expectations, and the implications of learning models for monetary policy design. While no scientific awards are explicitly listed, his contributions reflect significant scholarly impact in macroeconomic theory and policy analysis.

Ricardo Matanoمشاهده پروفایل

استاد

• Large-scale Ocean Circulation
• Geophysical Fluid Dynamics
• Western Boundary Currents
• +۳ مورد دیگر

Ricardo Matano is a Professor at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences (CEOAS), Department of Oceanography. His research focuses on large-scale ocean circulation, western boundary currents, ocean modeling, and geophysical fluid dynamics, with a particular emphasis on the Southern Ocean and South Atlantic dynamics. He holds a Lic. in Physical Oceanography from Universidad Nacional del Sur (1983), an MA in Geophysical Fluid Dynamics from Princeton University (1988), and a PhD in Atmospheric and Oceanic Science from Princeton (1991). Research interests include low-frequency variability of South Atlantic circulation, interocean exchanges, shelf circulation in the southwestern Atlantic, and dynamics of shelfbreak formation. Recent work explores climate change impacts on Patagonian shelf systems and larval connectivity in marine species. His studies often involve numerical modeling and satellite data analysis to understand coastal and open-ocean interactions. Recent publications (2022–2025) highlight studies on Agulhas Bank circulation, Patagonia shelf-break dynamics, and California Current poleward transports. His work contributes to understanding climate-driven variability in marine systems and informing coastal management strategies.