جست‌وجوی استاد و پژوهشگر

Lynda Khalafمشاهده پروفایل

استاد

• econometrics
• financial econometrics
• energy econometrics
• +۱۰ مورد دیگر

Lynda Khalaf is a Professor in the Department of Economics at Carleton University, Faculty of Public Affairs. She holds a Ph.D. from Montréal and has a B.A. and M.B.A. from Beirut. She is a leading expert in econometrics, specializing in simulation-based and identification-robust inference, with applications in financial, energy, and macroeconomic modeling. B.A., M.B.A. (Beirut) Ph.D. (Montréal) Her research focuses on advanced econometric methods, particularly in the context of weak identification, multivariate models, asset pricing, and income inequality. She has pioneered the use of Monte Carlo and simulation-based techniques to address finite-sample inference problems. Her recent work integrates computational optimization methods like Particle Swarm Optimization into econometric testing frameworks. She has made significant contributions to the analysis of DSGE models, inflation dynamics, and risk assessment in financial markets. The trends in her recent publications show a consistent focus on improving statistical reliability in economic measurement, especially under non-standard conditions such as heavy-tailed distributions, weak instruments, and model misspecification. Her work bridges theoretical econometrics with empirical applications in inequality, energy, and macroeconomics. Tier II Canada Research Chair (2004–2008) Ranked in the top 5% of economists by RePEc SSHRC Insight Grant (2019) NSERC Discovery Grant (2019) Professor Khalaf has supervised numerous graduate students, several of whom have received awards for their thesis work. She has received continuous research funding from major Canadian agencies, including SSHRC, NSERC, and FQRSC. Her collaborative projects involve researchers from McGill University, Université Laval, and international institutions. She has served on editorial boards and scientific committees for major conferences and journals, and was President of the Société Canadienne de Science Économique (2012–2013). She also chaired the SSHRC Adjudication Committee for Economics.

Kenneth M. Richمشاهده پروفایل

استادیار

• Macroeconomics
• Monetary Economics
• Fiscal Policy
• +۵ مورد دیگر

Kenneth M. Rich is an Assistant Professor of Economics in the Department of Economics at the University of Mississippi, part of the College of Liberal Arts in Oxford. He holds a Ph.D. in Economics from North Carolina State University and teaches courses in macroeconomics, monetary economics, and applied time series analysis at both undergraduate and graduate levels. His educational background includes: B.S. in Business Administration from the University of North Carolina Wilmington (2014) M.A. in Economics from North Carolina State University-Raleigh (2017) Ph.D. in Economics from North Carolina State University-Raleigh (2022) Dr. Rich's research centers on the evaluation of U.S. monetary and fiscal policies and their impact on financial markets and the macroeconomy. He employs advanced macroeconometric tools such as Bayesian vector autoregressions (VARs) and dynamic stochastic general equilibrium (DSGE) models. His work investigates the roles of inside and outside monetary aggregates, the interaction between monetary and fiscal policies, and their evolution since the postwar period. This positions him at the intersection of empirical macroeconomics and policy analysis. His publication record includes a 2023 article in The BE Journal of Macroeconomics , which applies a Markov-switching Bayesian VAR framework to analyze interest rates and Federal Reserve policy, reflecting a strong methodological focus on nonlinear time series models and structural policy evaluation. While no scientific awards are currently listed, his research trajectory suggests active engagement in policy-relevant macroeconomic modeling. Dr. Rich advises students in economics and contributes to academic training through courses like Econ 203 (Principles of Macroeconomics), Econ 399 (Intermediate Macroeconomics), Econ 603 (Time Series Analysis), and Econ 628 (Macroeconomics II). There is no mention of external grants or sponsored research in the provided materials. No specific research labs or collaborative teams are referenced in the available information.

Katja Heinischمشاهده پروفایل

پژوهشگر

• international macroeconomics
• applied time series econometrics
• short-term forecasting
• +۳ مورد دیگر

Katja Heinisch serves as Head of the Research Group "Econometric Tools for Macroeconomic Forecasting and Simulation" at the Halle Institute for Economic Research (IWH) since January 2013, and has been a member of the Department of Macroeconomics since September 2009. Her work focuses on developing advanced econometric methodologies for economic forecasting with practical applications for policymakers. Dr. Heinisch earned her diploma from Chemnitz University of Technology and University of Strasbourg, followed by a PhD from Osnabrück University. Her international research experience includes significant positions at the European Central Bank (ECB) and the International Monetary Fund (IMF), which have shaped her expertise in macroeconomic analysis across different institutional contexts. Her research program centers on international macroeconomics, applied time series econometrics, short-term forecasting, and macroeconometric modeling. A distinctive feature of her work is the rigorous evaluation of forecast accuracy, with particular attention to how assumption errors affect prediction quality. She has developed expertise in advanced statistical techniques including partial linear instrumental variable models and double machine learning approaches to address methodological challenges in forecast evaluation. Analysis of her recent publications reveals a consistent focus on improving forecasting techniques for the German economy and the European Union. Her work demonstrates sophisticated methodological approaches while maintaining strong policy relevance, particularly in evaluating EU Commission GDP forecasts and developing tools like the IWH forecasting dashboard. Her research on economic sentiment analysis has provided novel methods for disentangling private information from public knowledge in survey data, enhancing the utility of consumer surveys for economic forecasting. Developed advanced methods for forecast evaluation using machine learning techniques Created tools for real-time economic analysis and forecast comparison Contributed significantly to understanding the relationship between assumption errors and forecast accuracy Advanced methodologies for economic sentiment analysis in forecasting contexts Dr. Heinisch's leadership of her research group at IWH positions her at the forefront of methodological innovation in economic forecasting, with her work bridging theoretical econometrics and practical policy applications.

Jocelyn Hollandمشاهده پروفایل

استاد

• Comparative Literature
• German Intellectual History
• Eighteenth- and Nineteenth-century European Literature
• +۶ مورد دیگر

Jocelyn Holland is a Professor of Comparative Literature at the California Institute of Technology (Caltech). Her scholarly work bridges literary, philosophical, and scientific discourses in 18th- and 19th-century European contexts, with a particular focus on German Romanticism and the history of science and technology. Education: B.A., Harvard-Radcliffe College, 1995; M.A., Johns Hopkins University, 1998; Ph.D., Johns Hopkins University, 2003. Research Interests revolve around intersections between Romantic literature and scientific thought, examining topics such as: Procreation and generation in Romantic science Mechanical models of cognition (e.g., levers, equilibrium) Naturphilosophie and speculative physics Temporal theories from Galileo to atomic clocks Observation and neutrality in scientific practice Metaphors of technology in literature Recent Publications include her 2025 monograph Theory's Practice: Reflections on Technology in Germany around 1800 and co-edited projects on anomalies, equilibrium, and Romantic science. Her entry on 'Maß (Measure)' explores ethical and aesthetic dimensions in Goethe's work. Awards and Grants highlight her interdisciplinary impact: NEH Grant (with Wolf Kittler) for 'Keeping Time: Scientific Theory and Cultural Practice' Richard Sussman Prize for Goethe scholarship Teaching at Caltech includes courses like Artificial Life: Literary Automata , Recalling the Wild , and Welcome to Dystopia , reflecting her interest in human-animal boundaries and technology's cultural role.

Axel Parmentierمشاهده پروفایل

مدرس

• Operations Research
• Machine Learning
• Data-Driven Optimization
• +۵ مورد دیگر

Axel Parmentier is a Lecturer and researcher at the École Nationale des Ponts et Chaussées, where he founded the AI for Air Transport industry research chair with Air France. His work focuses on the intersection of operations research and machine learning, particularly in data-driven combinatorial optimization and stochastic optimization, with industrial applications in air transportation, supply chain, and predictive maintenance. He holds a Ph.D. and has been recognized with awards including the AMIES Dissertation Award (2017) for applied mathematics with industrial impact and the Robert Faure Prize (under 35) from ROADEF. His research also includes contributions to structured reinforcement learning, optimization layers in machine learning, and explainable AI for operational decisions. Awards: AMIES Dissertation Award, Robert Faure Prize Labs/Teams: CERMICS laboratory, AI for Air Transport Chair (collaboration with Air France) Grants/Projects: Continent-scale inventory routing solutions, Renault’s logistics optimization His advising includes students like Victor Cohen, whose work on predictive maintenance was featured on France Culture.

• Asset Pricing
• Macroeconomics
• Financial Frictions
• +۳ مورد دیگر

Paymon Khorrami is an Assistant Professor of Finance at Duke University's Fuqua School of Business, having previously held the same position at Imperial College Business School. He holds a PhD in Financial Economics from the University of Chicago, jointly awarded by the Department of Economics and Booth School of Business. His research focuses on asset pricing and macroeconomics with financial frictions, exploring topics such as financial intermediation, behavioral finance, and the impacts of monetary policy. He also investigates household and firm inequalities, leveraging insights from banking and market dynamics. Recent work emphasizes self-fulfilling market phenomena, sentiment-driven pricing, and the role of frictions in shaping economic outcomes. His articles span 2025 to 2017, reflecting a sustained engagement with systemic risk, liquidity dynamics, and policy implications. Teaching responsibilities include courses on Derivatives and Risk Management at Fuqua.

• Mathematical Finance
• Stochastic Processes
• Portfolio Optimization
• +۳ مورد دیگر

Johannes Muhle-Karbe is an Associate Professor in the Department of Mathematical Sciences at Carnegie Mellon University (CMU), affiliated with the Center for Computational Finance. He was on leave from January 2019 to join Imperial College London as a Chair in Mathematical Finance and Director of the CFM-Imperial Institute of Quantitative Finance. Education: PhD in Mathematics from TU München (2009), advised by Jan Kallsen. Awarded Förderpreis (2010) and Nicola Bruti Liberati Prize (2012). Diplom thesis (2006) won Hauptpreis (2007). Research: Focuses on mathematical finance, stochastic processes, and market microstructure. Key areas include transaction costs, portfolio optimization, asset pricing, and high-frequency trading. His work bridges theory and practice, addressing liquidity, risk management, and equilibrium models. Publications: Over 30 articles in top journals like Mathematical Finance , Finance and Stochastics , and SIAM Journal on Financial Mathematics . Recent work explores equilibrium models, optimal trading strategies, and liquidity dynamics. Awards: Multiple recognitions for his PhD and diploma thesis, highlighting contributions to stochastic finance and mathematical economics. Students: Supervised PhD students including Thomas Caye, Ren Liu, and Blanka Horvath. Postdocs include Martin Herdegen and Sebastian Herrmann. Labs/Teams: Active in CMU’s computational finance initiatives and Imperial College’s quantitative finance institute. Collaborates with leading institutions globally on market modeling and financial theory.

Sergio Batistaمشاهده پروفایل

استادیار

• Transportation Systems
• Traffic Engineering
• Network Modelling
• +۵ مورد دیگر

Sergio Batista is an Assistant Professor in the Department of Civil and Environmental Engineering at Imperial College London, Faculty of Engineering. His research focuses on dynamic modelling of multi-modal transportation systems, traffic flow models, network equilibrium, and travel behavior. He serves on the Scientific Committees of major transportation conferences such as MT-ITS, TRISTAN, and hEART, and reviews for top-tier journals. He holds a PhD in Civil Engineering from the University of Lyon (2018), with prior degrees in Physics and Applied Mathematics from the University of Porto. His work bridges advanced mathematics with urban mobility challenges, including decarbonization and aging population mobility. Education: PhD in Civil Engineering (Transportation), University of Lyon, 2015-2018 Master's and Undergraduate Studies in Physics and Applied Mathematics, University of Porto, Portugal Research Interests: Dynamic traffic assignment, aggregated traffic models, macroscopic fundamental diagrams (MFD), urban mobility decarbonization, and mobility solutions for aging populations. His methodologies integrate operational research, variational theory, and Gaussian processes to optimize transportation networks and predict traffic dynamics. Professional Contributions: Developed a dynamic traffic assignment pipeline and heuristic models for mobility patterns. Active in academic service, including conference organization and journal reviewing. Currently seeking PhD students to advance research in multi-modal transportation systems. Labs/Teams: Leads a research group at Imperial College focusing on sustainable urban mobility and advanced traffic modelling techniques.

Patrick J Kehoeمشاهده پروفایل

استاد

• International Macroeconomics
• Business Cycle Models
• Financial Economics
• +۳ مورد دیگر

Patrick J Kehoe is a Professor of Economics at Stanford University's Department of Economics within the School of Humanities and Sciences. He joined Stanford in 2015 after holding prestigious positions at the University of Minnesota (Frenzel Professor of International Economics), Princeton University (Frank Graham Professor of International Economics), University College London, and the University of Pennsylvania (Lauder Professor of International Economics). He earned his PhD in Economics from Harvard University in 1986. His research focuses on international macroeconomics, particularly business cycle models, financial frictions, and optimal policy responses to crises like the Great Recession. Kehoe holds notable roles as a Fellow of the Econometric Society, Senior Fellow at the Stanford Institute for Economic Policy Research, Monetary Adviser at the Federal Reserve Bank of Minneapolis, and Faculty Research Fellow at the National Bureau of Economic Research (NBER). His work spans theoretical and empirical analyses of fiscal and monetary policy, including studies on the distributional impacts of minimum wages, credit frictions during economic downturns, and the dynamics of global financial cycles. He has contributed to policy debates through his research on bailouts, time-inconsistency issues in policymaking, and optimal regulatory frameworks. Kehoe has served on editorial boards of leading journals, such as the American Economic Review and the International Economic Review, and has authored over 50 influential NBER working papers addressing macroeconomic challenges. Recent research emphasizes resolving puzzles in unemployment volatility, modeling the effects of labor market policies, and analyzing financial market dynamics in crises. His contributions bridge theory and policy, offering frameworks for understanding economic fluctuations and designing effective interventions.

Vasileios Paschalidisمشاهده پروفایل

استادیار

• Gravitational Physics
• Theoretical Astrophysics
• Numerical Relativity
• +۵ مورد دیگر

Vasileios Paschalidis is an Assistant Professor in the Department of Astronomy and Department of Physics at The University of Arizona . He serves as one of the 5 core faculty members in the Theoretical Astrophysics Program and leads research at the intersection of gravitational physics and theoretical astrophysics , with a focus on compact object binaries and multimessenger astronomy . Department of Astronomy, The University of Arizona Department of Physics, The University of Arizona Theoretical Astrophysics Program, The University of Arizona His research investigates strong-field gravitation through simulations of black hole-black hole , neutron star-neutron star , black hole-neutron star , and white dwarf-neutron star binaries. Key areas include gravitational wave modeling , electromagnetic signatures , neutrino emissions , and equation of state constraints for nuclear matter. Recent work explores eccentric mergers in globular clusters , spin-flip mechanisms in X-shaped radio galaxies, and planet formation around pulsars . The 15 most recent publications highlight his expertise in numerical relativity , general relativistic MHD , and radiation transport . These works examine charged black hole mergers , ultrarelativistic particle dynamics , accretion disk variability , and novel periodicities in jet power from binary black hole systems. His simulations underpin gravitational wave detection by LIGO/Virgo/KAGRA and future missions like eLISA .

Joaquim Loizuمشاهده پروفایل

مدرس ارشد

• Stellarators
• Magnetohydrodynamics (MHD)
• Magnetic Reconnection
• +۴ مورد دیگر

Joaquim Loizu is a Senior Lecturer (MER) at the Swiss Plasma Center (SPC-TH) and the School of Physics and Chemistry (SPH-ENS) at École Polytechnique Fédérale de Lausanne (EPFL). His work bridges theoretical plasma physics with experimental validation , focusing on advanced magnetic confinement concepts for fusion energy. Education PhD in Plasma Physics (2013), EPFL Master in Physics, Imperial College London (2009) BSc in Physics, EPFL Research Interests include: Design and stability of stellarator fusion devices MHD equilibrium and formation of magnetic islands Chaotic magnetic field transport Non-neutral plasma simulations Plasma sheath dynamics and bootstrap current analysis Scientific Contributions span 15 recent publications (2023-2025) on topics like chaotic transport quantification, gyrotron electron gun simulations, and multi-region MHD equilibrium calculations. His work has significantly advanced stellarator optimization and tokamak divertor modeling. Awards European Physical Society Plasma Physics PhD Award (2009) IUPAP Young Scientist Prize in Plasma Physics (2020) Advising includes mentoring PhD students Erol Balkovic , Pierrick Giroud-Garampon , and Zeno Tecchiolli . He contributes to major fusion experiments including Wendelstein 7-X and TCV tokamak , while developing simulation tools like GBS and FENNECS for plasma turbulence and non-neutral plasma studies.

• International Macroeconomics
• Business Cycle Models
• Financial Frictions
• +۴ مورد دیگر

Patrick J Kehoe is a Professor of Economics at Stanford University, where he joined the Economics Department in 2015. He previously held distinguished professorships at the University of Minnesota (as Frenzel Professor of International Economics), Princeton University (as Frank Graham Professor of International Economics), University College London, and the University of Pennsylvania (as Lauder Professor of International Economics). Dr. Kehoe earned his PhD in economics from Harvard University in 1986 and has established himself as a leading scholar in international macroeconomics. His research spans several decades of theoretical and empirical work on business cycles, monetary and fiscal policy, and financial frictions. Education : PhD in Economics, Harvard University (1986) Kehoe's research program has evolved while maintaining core theoretical rigor. Initially focusing on categorizing business cycle patterns across countries, he later developed models of financial frictions and optimal policy frameworks. More recently, he has concentrated on business cycle models that account for the Great Recession and optimal bailout policies during economic downturns. His work combines sophisticated theoretical modeling with empirical validation, making significant contributions to how economists understand macroeconomic fluctuations. Analysis of his recent publications reveals a consistent focus on resolving fundamental puzzles in macroeconomics, particularly the relationship between financial markets and real economic activity, the transmission mechanisms of monetary policy, and the design of optimal fiscal responses to economic crises. His work often bridges theoretical models with real-world policy applications. Scientific Recognition Fellow of the Econometric Society Senior Fellow at the Stanford Institute for Economic Policy Research Monetary Adviser at the Federal Reserve Bank of Minneapolis (for several decades) Faculty Research Fellow at the National Bureau of Economic Research Kehoe has significantly influenced economic policy discourse through his editorial roles, serving on the Board of Editors of the American Economic Review, as co-editor of the International Economic Review, and as associate editor for both the Journal of International Economics and the Quarterly Review of the Federal Reserve Bank of Minneapolis. While specific advising relationships aren't detailed in the provided text, his position at Stanford and NBER affiliation suggest mentorship of graduate students and junior researchers. His research has been supported by various academic and policy institutions, though specific grant details aren't provided in the available information.

Robert BUCHMANNمشاهده پروفایل

استاد

• Knowledge Management Systems
• Semantic Web
• Enterprise Modeling
• +۳ مورد دیگر

Robert BUCHMANN is a Professor at Babeș-Bolyai University's Faculty of Economics and Business Administration, Department of Business Information Systems. His career spans over two decades, with roles in both teaching and research, focusing on Knowledge Management Systems, Semantic Web, and Enterprise Modeling. He has contributed to prestigious projects and disseminated research through conferences like HICSS, ECIS, and journals such as Telematics and Informatics. A member of AIS and INSTICC, he actively reviews for academic venues and leads research initiatives. Education Doctor in Economics (2005), Babes-Bolyai University (thesis: 'E-commerce experimental models') Master in Economics (2001), Babes-Bolyai University (thesis: 'The equilibrium between software reliability and efficiency') Bachelor in Economics (2000), Babes-Bolyai University (thesis: 'Distance learning software applications for accounting') XML Summer School training (2006), Oxford University and CSW Ltd. Research and Projects Dr. BUCHMANN specializes in Semantic Web technologies, Enterprise Modeling, and Knowledge Management, with a focus on interdisciplinary applications in business contexts. He has led projects like the FP7 EU COMVANTAGE and coordinated research grants in e-commerce and software quality. His work bridges theoretical modeling and practical implementation, particularly in distributed computing and business process management. Scientific Awards 2008 - Award for professional debut from the Association of Economic Studies Faculties in Romania 2004 - Research Council Award from Babes-Bolyai University for doctoral results Teaching and Academic Contributions He pioneered English-taught courses such as 'Internet of Things' and 'Semantic Business Process Management,' and coordinated curricular development for web-related disciplines. He has also served as an invited lecturer at the Next Generation Enterprise Modeling Summer School in Austria. Professional Affiliations Member of the Association for Information Systems (AIS) and the Institute of Electrical and Electronics Engineers (INSTICC).

• Macroeconomics
• Fiscal Policy
• Labor Economics
• +۷ مورد دیگر

Francisco Javier Ferri Carreres is a Professor in the Department of Economic Analysis at the Faculty of Economics, University of Valencia. He is affiliated with the Inter-university Institute of International Economics (IEI) and the research group MAPPA (Macroeconomic studies and public policy analysis). His primary research area is Fundamentals of Economic Analysis, with a strong focus on macroeconomic policy, labor markets, and public finance. Research Interests: His work spans a wide range of topics including fiscal policy, household debt, labor market dynamics, immigration economics, tourism economics, and social accounting matrices. He employs both theoretical and empirical methods, often using general equilibrium models and policy simulation tools such as REMS. His research frequently addresses Spanish and European economic contexts, especially within the EMU framework. The most recent publications reflect a consistent focus on macroeconomic stabilization, fiscal instruments, and structural labor market issues. Themes such as fiscal devaluation, household leverage, and immigration impacts recur, indicating a sustained research agenda on policy-relevant macroeconomic challenges. His work bridges theoretical modeling with real-world economic evaluation, particularly in the Spanish economy. Scientific Awards: No awards listed in the provided text. Advising and Grants: While no formal list of advisees or grants is provided, he completed his PhD under Dr. Ezequiel Uriel Jiménez and has likely supervised students given his senior academic rank. No specific grants are mentioned in the source material. Labs and Teams: He is an active member of the MAPPA research group and the Inter-university Institute of International Economics (IEI), both of which focus on macroeconomic analysis and public policy. These groups support collaborative research on structural economic models and policy evaluation.

Maria Stamenovaمشاهده پروفایل

پژوهشگر

• Computational Spintronics
• Antiferromagnetic Spintronics
• Ferrimagnetic Spintronics
• +۱۱ مورد دیگر

Dr. Maria Stamenova is a researcher in the School of Physics and CRANN Institute at Trinity College Dublin, where she leads computational research in spintronics. Her work focuses on developing atomic-scale simulation methods for novel magnetic tunnel junctions using antiferromagnetic and ferrimagnetic materials, with applications in energy-efficient memory and THz communication technologies. Her research lies at the intersection of condensed matter physics, materials science, and quantum computing. She specializes in ab initio spin transport calculations and atomistic simulations, leveraging the SMEAGOL code—a quantum transport platform developed at Trinity College Dublin. Her work bridges first-principles electronic structure theory with non-equilibrium Green’s function methods to model spin-transfer torques and tunnelling magnetoresistance in non-collinear magnetic systems. Dr. Stamenova leads the ATMOST project, a research initiative aimed at optimizing magnetic devices for next-generation spintronic applications. She is actively involved in supervising PhD students and collaborates with leading theoretical and experimental groups in the field. Her research contributes to the advancement of ultra-fast, low-power computing components and emerging THz-range technologies. She is affiliated with the Computational Spintronic Group at Trinity, which focuses on predictive modeling of nanoscale magnetic phenomena. The group utilizes high-performance computing to simulate quantum transport in crystalline magnetic heterostructures, aiming to guide experimental efforts in fabricating improved spintronic devices.