جست‌وجوی استاد و پژوهشگر

• 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.

• Marine Engineering
• Mechanical Engineering
• Thermodynamics
• +۴ مورد دیگر

Hasan Kayhan KAYADELEN is a full-time Professor at Yildiz Technical University's Naval Architecture and Maritime Faculty, Department of Marine Engineering Operations. His career spans naval ship design, thermodynamic analysis, and energy systems optimization. Ph.D. in Thermodynamic Optimization (Gas Turbines) - Yildiz Technical University M.Sc. in Naval Architecture and Marine Engineering - Yildiz Technical University B.Sc. in Civil Engineering & Naval Architecture and Marine Engineering - Yildiz Technical University His research focuses on marine propulsion systems , gas turbine thermoeconomics , and combustion analysis . Recent work emphasizes steam injection , oxy-combustion , and environmental impact evaluations of power cycles. Articles demonstrate expertise in thermodynamic modeling , emission reduction , and energy-environment trade-offs . Notable projects include DOE-funded research at Princeton University on hydrogen fuels for gas turbines and TÜBİTAK-supported thermoeconomic analysis . His work addresses UN Sustainable Development Goals for clean energy and environmental protection.

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.

Frederik Herzbergمشاهده پروفایل

مدرس

• Mathematical Finance
• Probability Theory
• Nonstandard Analysis
• +۶ مورد دیگر

Prof. Dr. Frederik Herzberg is a Lecturer in the Department of Mathematics at Saarland University since 2022, holding the formal academic title of Titular Professor (apl. Prof.) from Bielefeld University (2016). His academic journey spans multiple disciplines, with habilitations in both Philosophy (University of Munich, 2017) and Economic Theory (Bielefeld University, 2011), reflecting his interdisciplinary expertise. Herzberg's educational background includes dual doctorates: a DPhil in Mathematics from the University of Oxford (2006) specializing in Mathematical Finance, and a Dr.rer.nat. in Mathematics from the University of Bonn (2005) focusing on Probability Theory. He also holds a Diplom in Mathematics from Bonn (2003) and a Master of Theology from the University of Aberdeen (2018), demonstrating remarkable breadth across quantitative and humanities disciplines. His research interests bridge mathematical finance, nonstandard analysis, social choice theory, and epistemology. Herzberg has developed innovative applications of nonstandard analysis to financial mathematics and has made significant contributions to the theoretical foundations of probabilistic aggregation and social choice. His work often explores the intersection of mathematical rigor and philosophical implications, particularly regarding infinitesimals, decision theory, and collective rationality. Analysis of his recent publications reveals a consistent focus on the mathematical foundations of decision-making under uncertainty, with particular attention to aggregation problems, non-Archimedean probability structures, and the philosophical implications of mathematical models. His work spans both theoretical developments in stochastic calculus and practical applications in financial economics. Shortlisted for permanent professorships at the University of Würzburg (Institute of Mathematics, 2009) and other universities Research fellowships from prestigious organizations including the John Templeton Foundation, Alexander von Humboldt Foundation, and German Research Foundation Extensive service as reviewer for major funding bodies including the European Research Council and Austrian Academy of Sciences Herzberg has supervised doctoral students including Geghard Bedrosian (2012-2015) and Tolulope Fadina (2011-2015), and maintains active research collaborations across Europe and North America. His academic service includes editorial work, conference organization, and membership on Bielefeld University's Ethics Committee (2014-2022).

• Financial Economics
• Development Economics
• Capital Structure
• +۴ مورد دیگر

Professor Laurence Harris is a faculty member at the School of Finance and Management (FIM) at SOAS University of London. His research focuses on financial economics, development economics, and globalization studies with particular emphasis on policy formation and financial market dynamics in African and East Asian economies. Key Research Areas: Capital structure analysis, Basel III banking regulations, financial technology diffusion, and Keynesian policy frameworks in disarticulated economies. Affiliations: Active member of SOAS research outputs with multiple publications in economics and finance journals. His recent work applies micro-founded, stock-flow consistent models to study financial regulations in South Africa and explores fintech's role in financial inclusion. Publications span from 1996 to 2025, demonstrating sustained academic contributions in corporate finance, globalization effects, and economic development.

Ozgur Evrenمشاهده پروفایل

دانشیار

• Decision Theory
• Economic Theory
• Political Economy
• +۲ مورد دیگر

Ozgur Evren serves as an Associate Professor with tenure at the New Economic School (NES) in Moscow, a position he has held permanently since 2016 after joining the institution in 2011. He teaches core graduate courses including Microeconomics 1 and 3, Mathematics for Economists 1 and 2, and Decision Theory within the Master of Applied Economics program, demonstrating deep integration into NES's academic framework. He earned his PhD in Economics from New York University in 2011 and Master of Economics from Bilkent University (Turkey) in 2004, establishing a foundation for his theoretical research career. His scholarly work centers on Decision Theory and Economic Theory, with significant contributions to understanding behavioral anomalies in individual choice and social preference aggregation. Research specifically examines how ambiguity affects risk preferences, flexibility in decision outcomes, and applications in political economy and charitable giving behavior through rigorous mathematical modeling. Analysis of his 10 publications (2007-2021) reveals a cohesive trajectory in mathematical economics, predominantly published in elite journals like Journal of Economic Theory and Games and Economic Behavior. The work consistently develops formal frameworks for preference representation under uncertainty, with increasing focus on non-expected utility models and social choice implications in later publications. No scientific awards are documented in available sources, and details regarding student supervision, grant funding, or research teams remain absent from current institutional documentation.

Paolo Di Giamberardinoمشاهده پروفایل

دانشیار

• Automatica
• Biomedical Systems
• Epidemic Modeling
• +۹ مورد دیگر

Paolo Di Giamberardino is an Associate Professor in Control Engineering (09/G1, ex ING-INF/04) at the Department of Computer Science and Systems Engineering 'Antonio Ruberti', Sapienza University of Rome. He holds a Master's degree in Electronic Engineering and a PhD in Systems Engineering from the same institution. Currently teaching Digital Control Systems (Master's in Control Engineering) and Fundamentals of Automatic Control (Bachelor's in Information Engineering), his academic career spans over 25 years with significant contributions to university governance as a member of Departmental and Faculty Councils. Education: Master's in Electronic Engineering, PhD in Systems Engineering (Sapienza University of Rome) Research Interests focus on systems analysis and control, with applications to biomedical systems (HIV/AIDS dynamics, portal hypertension diagnosis), epidemic modeling (arboviruses, measles, multi-group populations), optimal control for resource allocation, photonic control systems, and MEMS-based biomedical devices. His work bridges theoretical control methodologies with practical implementations in healthcare, robotics, and energy management. Recent Publications highlight innovative applications in photonic logic gates, advanced epidemic containment strategies, and machine learning integration for medical diagnostics. A unifying theme is the use of control theory to address complex biological and medical challenges. Scientific Awards : 2018 Best Short Paper/Poster Award at ICINCO Academic Contributions include leadership in national research projects (PRIN 2005, 2008), participation in international conferences (WSEAS CSCC, ICINCO), editorial roles (IEEE ICRA Associate Editor, International Journal on Computer Methods in Biomechanics), and extensive supervision of undergraduate and graduate theses. His career demonstrates a commitment to both theoretical advancements and real-world applications in systems and control engineering.