جست‌وجوی استاد و پژوهشگر

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.

• International Macroeconomics
• International Trade
• Financial Stability
• +۸ مورد دیگر

Gosia Mitka is a Senior Lecturer in the School of Economics & Finance at the University of St Andrews' Business School, where she also serves as Vice-Dean for Engagement, Partnerships and Social Responsibility. Her academic work is rooted in international macroeconomics and policy coordination across interconnected economies. Her research interests include: International Macroeconomics International Trade Financial Stability Game Theory and Agent-Based Models Complexity of International Cooperation Multi-Country Policy Frameworks The trends in her recent publications reflect a dual focus: theoretical economic modeling and applied educational innovation. Her work spans from formal analysis of tariff equilibria using game theory to interdisciplinary educational projects that enhance student teamwork and learning. She also contributes to major policy discussions, particularly around international research collaboration under Horizon Europe and gender equity in academic economics. Her scientific contributions have been featured in media outlets and academic platforms, reflecting broader societal and academic impact. Notable activities include organizing the 'Scotland's Big Challenges' series and leading the 'Creating Impact through Entrepreneurial Education' project. She actively mentors and collaborates across disciplines, participates in high-level academic events, and engages in public scholarship. Her leadership in educational design and international policy underscores her role as a bridge between academic research and real-world application. She is affiliated with the following initiatives: Creating Impact through Entrepreneurial Education (CItEE) – Co-Principal Investigator Scotland's Big Challenges series – Organizing Committee Member Royal Economic Society Women’s Committee – Survey Contributor

Tomoyuki ICHIBAمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Financial Mathematics
• +۵ مورد دیگر

Tomoyuki ICHIBA is a Professor in the Department of Statistics & Applied Probability and the Center for Financial Mathematics and Actuarial Research at the University of California, Santa Barbara. His research focuses on stochastic processes, financial mathematics, and probability theory with applications to systemic risk, stochastic portfolio theory, and data science. ICHIBA holds a Ph.D. in Statistics from Columbia University (2009) and has been supported by multiple NSF grants, including awards for studying interactions in financial markets and stochastic differential equations. His academic journey includes a faculty fellowship at Columbia (2004–2009) and recognition such as the SIAM SIAG/FME Junior Scientist Prize (2014). Teaching responsibilities span probability theory, stochastic processes, and actuarial science at both undergraduate and graduate levels. ICHIBA’s work bridges theoretical advancements with practical applications in finance, economics, and data-driven fields. Education: Bachelor's/Master's in Science, Statistics, and Economics, University of Tokyo Ph.D. in Statistics, Columbia University (2009) Awards: NSF Awards DMS-1313373, DMS-1615229, DMS-2008427 SIAM Junior Scientist Prize (2014)

Franziska Schünemannمشاهده پروفایل

استادیار

• Bioeconomy
• Agricultural Economics
• Climate Policy
• +۳ مورد دیگر

Franziska Schünemann is an Assistant Professor and head of the Chair of Bioeconomy at the Institute of Economics , University of Hohenheim, since April 2020. She operates within the Cluster of Excellence IntCDC and focuses on integrating economic and biophysical modeling for policy analysis. Education: University of Mannheim, University of Bergen (Norway), University of Göttingen, and University of Groningen (Netherlands). PhD in Agricultural Economics (2017) from University of Hohenheim with a dissertation titled "Economy-Wide Policy Modeling of the Food-Energy-Water Nexus in Malawi". Her research bridges the bioeconomy, climate policy, and sustainable development through computational modeling. She specializes in analyzing global and regional impacts of agricultural, energy, and environmental policies using computable general equilibrium (CGE) models and biophysical frameworks. Key themes include the Food-Energy-Water Nexus and Global Commons. She has been associated with international institutions like the International Food Policy Research Institute (IFPRI) in Washington DC and the Kiel Institute for the World Economy (IfW). Her current projects include AP 41 – HNFVBauSys and collaborations within the Cluster of Excellence IntCDC.

Constantinos Daskalakisمشاهده پروفایل

استاد

• Theory of Computation
• Game Theory
• Economics
• +۳ مورد دیگر

Constantinos Daskalakis is the Avanessians Professor of Computer Science at MIT's Electrical Engineering and Computer Science department within the Schwarzman College of Computing. He is a member of CSAIL (Computer Science and Artificial Intelligence Laboratory) and affiliated with LIDS (Laboratory for Information and Decision Systems) and ORC (Operations Research Center). Additionally, he serves as an investigator in the NSF-funded Foundations of Data Science Institute and is a co-founder and chief scientist of the Archimedes AI research center. Dr. Daskalakis holds a diploma in electrical and computer engineering from the National Technical University of Athens and earned his PhD in computer science from UC Berkeley under advisor Christos H. Papadimitriou. His doctoral thesis focused on "On the Existence of Pure Nash Equilibria in Graphical Games with succinct description." His research spans the intersection of theoretical computer science with economics, game theory, machine learning, statistics, and probability theory. Daskalakis has made fundamental contributions to understanding the computational complexity of Nash equilibrium, the mathematical structure of multi-item auctions, and the behavior of machine learning algorithms like expectation-maximization. His work includes developing computationally efficient methods for statistical hypothesis testing and learning in high-dimensional settings, as well as characterizing the structure of high-dimensional distributions. His extensive publication record demonstrates a consistent focus on the theoretical foundations of computation and its applications to economic and learning systems. His recent work shows increasing integration of game theory with machine learning, particularly in areas like generative models, equilibrium computation, and mechanism design. The breadth of his publications across top venues in computer science, economics, and machine learning reflects the interdisciplinary nature of his research. 2007 Microsoft Graduate Research Fellowship 2008 ACM Doctoral Dissertation Award Game Theory and Computer Science (Kalai) Prize from the Game Theory Society 2010 Sloan Fellowship in Computer Science 2011 SIAM Outstanding Paper Prize 2011 Ruth and Joel Spira Award for Distinguished Teaching 2012 Microsoft Research Faculty Fellowship 2015 Research and Development Award by Giuseppe Sciacca Foundation 2017 Google Faculty Research Award 2018 Simons Investigator Award 2018 Rolf Nevanlinna Prize from the International Mathematical Union Best Paper awards at ACM Conference on Economics and Computation (2006, 2013) FOCS 2022 Test of Time Award Daskalakis has advised numerous PhD students and has been involved in organizing major academic programs including the Causality program at the Simons Institute (Spring 2022). His research group focuses on theoretical aspects of computation with applications to economic systems and machine learning. Current work explores connections between generative models, game theory, and statistical learning, with applications to mechanism design and econometrics.

• Water Pollution and Control
• Environmental Technologies
• Sustainable Production Technologies
• +۱ مورد دیگر

Gökçe Didar DEĞERMENCİ is an Associate Professor in the Faculty of Engineering and Architecture at Kastamonu University , specializing in Environmental Engineering with a focus on Water Pollution and Control . She has been actively involved in academic activities since 2015 and currently serves as the Sustainability Coordinator since 2024. Academic Roles: Associate Professor (2015-), Sustainability Coordinator (2024-) Educational Background: PhD in Environmental Sciences (2014), MSc in Environmental Technology (2007), BSc in Environmental Engineering (2005) Research Focus: Her work addresses critical environmental challenges through advanced oxidation processes, biochar applications, and ion exchange technologies. Key areas include pharmaceutical removal, mine drainage remediation, and sustainable waste management solutions. Scientific Contributions: With 36 publications, an h-index of 8 (Google Scholar), and significant citations, she has received multiple awards including ULAKBİM Publication Incentive Awards and Best Cited Work recognition at Kastamonu University. Key Projects: Hydrothermal biochar synthesis (2021-2024), Electro-Fenton antibiotic degradation (2019-2021), Landfill gas modeling (2024)

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

Mücahid Samet Yılmaz is a Researcher at the Department of Economics , Faculty of Economics and Administrative Sciences , Karadeniz Technical University , where he has been active since 2022. His academic work focuses on macroeconomic dynamics, econometric modeling, and policy analysis. Doctorate (2022–Present): Karadeniz Technical University, Economics Postgraduate (2019–2022): Necmettin Erbakan University, Economics Undergraduate (2015–2019): Necmettin Erbakan University, Political Science and Public Administration His research spans Macroeconomics , Econometrics , and Political Economy , with particular emphasis on Exchange Rate Effects , Export Competitiveness , and Profit Inflation . He has published in journals such as Structural Change and Economic Dynamics and Tourism Management Perspectives , analyzing regional economic disparities, tourism policy, and dynamic stochastic general equilibrium models. Recent publications (2023–2025) demonstrate his focus on econometric analysis of debt dollarization , inclusive growth metrics , and global trade policy dilemmas . Though no scientific awards are explicitly listed, his contributions to peer-reviewed journals and conference reviews (e.g., JOURNAL OF INFRASTRUCTURE POLICY AND DEVELOPMENT ) indicate active academic engagement.

• Machine Learning
• AI Safety and Robustness
• Deep Learning
• +۴ مورد دیگر

Zico Kolter is a Professor and Director of the Machine Learning Department at Carnegie Mellon University . He also serves on the OpenAI Board of Directors as chair of the safety and security committee, co-founded Gray Swan AI (an AI security company), and acts as a Chief Expert at Robert Bosch, LLC . Research Focus: AI safety and robustness, LLM security, data impact on models, implicit models, and adversarial defense. Teaching: Offers graduate courses in artificial intelligence and deep learning systems. His work investigates robustness in deep learning, constraints in optimization, and security in foundation models. Recent publications address adversarial compression, diffusion models, and prompt engineering. Notable Awards: DARPA Young Faculty Award Sloan Fellowship Best Paper at NeurIPS, ICML (honorable mention), AISTATS (test of time), IJCAI, KDD, and PESGM.

Johan Brännmarkمشاهده پروفایل

مدرس

• Value Theory
• Normative Ethics
• Bioethics
• +۲ مورد دیگر

Johan Brännmark is a Lecturer at the Department of Philosophy, Stockholm University. His work spans value theory, normative ethics, bioethics, political philosophy, and social ontology. He defended his doctoral thesis on Kantian ethics at Lund University in 2002 and has since taught practical philosophy, human rights, and cultural studies. Research Interests include: Nonideal social ontology for institutional critique Ethics of medical technologies (e.g., digital breast tomosynthesis) Human rights frameworks in bioethics Critique of paternalism and rational-choice models Organic unity in value theory Practice-dependent justice principles Recent Article Trends focus on: Ethical obligations in healthcare technology adoption Conceptualizing contested and informal institutions Behavioral economics implications for policy ethics Human rights and future generations' rightholder status

Mathias Hoppeمشاهده پروفایل

استادیار

• Fusion Plasma Physics
• Tokamak Disruptions
• Runaway Electrons
• +۳ مورد دیگر

Mathias Hoppe is an Assistant Professor in fusion plasma physics at the Royal Institute of Technology (KTH), affiliated with the School of Electrical Engineering and Computer Science (EECS) and the Department of Electrical Engineering. He specializes in the theory of fast electrons and tokamak disruptions, contributing to international collaborations like EUROfusion TSVV and WPTE, as well as the TCV tokamak program. KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Department of Electrical Engineering His research focuses on computational modeling of runaway electron dynamics, synthetic diagnostics for tokamak radiation, and disruption mitigation strategies. He develops and maintains key simulation frameworks including DREAM, STREAM, and SOFT2, which analyze runaway electron generation, suppression, and radiation characteristics in fusion devices. Recent publications highlight his work on reduced kinetic modeling of shattered pellet injection, scrape-off losses in disruptions, and ECRH impacts on runaway beams. These studies span tokamaks such as ASDEX Upgrade, TCV, and ITER, emphasizing fluid-kinetic coupling and Bayesian optimization techniques.

Alexander Kriwoluzkyمشاهده پروفایل

استاد

• Empirical Macroeconomics
• Fiscal Policy
• Monetary Policy
• +۱ مورد دیگر

Alexander Kriwoluzky is Professor of Macroeconomics at Freie Universität Berlin and Head of the Department of Macroeconomics at the German Institute for Economic Research (DIW Berlin). He serves as Associate Editor at the European Economic Review, contributing to academic peer review in economics. His professional roles integrate research leadership with academic instruction. Education background includes: Ph.D. in Economics, Humboldt-Universität zu Berlin (2009) M.Sc. in Economics, Humboldt-Universität zu Berlin (2004) Research interests focus on three interconnected domains: Empirical Macroeconomics : Developing data-driven approaches to analyze economic systems Fiscal-Monetary Policy Interactions : Examining coordination mechanisms between government spending and central banking Climate Economics : Investigating macroeconomic impacts of environmental factors and policy responses His work frequently employs advanced econometric techniques including time-varying VAR and DSGE modeling to study policy transmission mechanisms. Publication analysis reveals consistent thematic focus across 12 recent articles (2012-2024): Primary emphasis on inflation dynamics under various policy regimes Significant contributions to understanding monetary-fiscal policy coordination Growing research thread on climate-related economic disruptions Methodological innovations in shock identification and model uncertainty At DIW Berlin, he leads a research department conducting policy-relevant macroeconomic analysis. Current teaching includes undergraduate courses in Monetary Theory and doctoral seminars in Advanced Macroeconomic Analysis.