Find Academic Supervisors

Hideki Konishi is a Professor at Waseda University's School of Political Science and Economics, specializing in Public Economics, Public Choice Theory, and Political Economy. He holds a Doctor of Economics degree from the University of Tokyo and maintains active membership in both the Japanese Economic Association and American Economic Association. His academic position spans both the Graduate School of Economics and the Graduate School of Political Science at Waseda University. Professor Konishi's research focuses on public economics and labor economics, with particular expertise in public choice theory and political economy. His work examines how political institutions and processes influence economic policy outcomes, including fiscal adjustments, tax policy, social security systems, and environmental regulations. His research often employs game-theoretic models to analyze strategic interactions between policymakers, interest groups, and voters. His publication record spans from 1990 to 2020, with significant contributions in areas including fiscal policy composition as signaling mechanisms, tax policy for natural resource management, trade policy analysis, and the political economy of decentralization. His work shows a consistent focus on how institutional arrangements affect economic outcomes and policy design. 51st Nikkei Economic Book Culture Award for 'Economic Analysis of Public Choice' (2009) Professor Konishi has supervised numerous master's and doctoral students through research guidance seminars in International Political Economy at Waseda University's Graduate School of Economics. He teaches courses including Political Economics, Public Finance, and various seminar courses on global political economy. His research has been supported by multiple Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science, covering topics from fiscal consolidation strategies to social protection systems and centralization versus decentralization.

• Public Economics
• Public Choice Theory
• Political Economy
• +1 more

Dr. Dedi Budiman Hakim is affiliated with IPB University , where he works within the Faculty of Economics and Management under the Department of Economics . He is actively involved in the project group C01 , focusing on smallholder productivity, market access, and international linkages in rubber and palm oil production in Jambi Province, Indonesia. Research Interests: Dr. Hakim specializes in Macroeconomics , with a focus on Trade Liberalisation and Regional Integration . His work includes policy analysis on oil subsidies and their impact on macroeconomic performance, poverty, and agricultural sectors, as well as empirical studies on capital ratios in state-owned banks using panel data methods. His research combines computational modeling (e.g., Recursive Dynamic Computable General Equilibrium ) and econometric analysis. Publications: His notable works include studies on oil subsidy reforms and banking sector dynamics, reflecting his expertise in macroeconomic modeling and quantitative policy evaluation. These align with broader interests in sustainable economic development and financial sector regulation. Contact: Dr. Hakim can be reached at his official email address: dbhakim@ipb.ac.id .

• Macroeconomics
• Trade Liberalisation
• Regional Integration
• +4 more

Clara Stegehuis serves as Associate Professor in Mathematics of Operations Research, specializing in the mathematical foundations of complex networks. Her research establishes critical connections between theoretical graph models and real-world applications in wireless communications and chemical reaction systems, with 68 research outputs including 34 articles and 16 preprints. Her primary research domains include: Random Graph Theory and Scale-Free Networks Hypergraph Modeling and Sampling Algorithms Geometric Network Analysis Stochastic Processes on Networks Combinatorial Optimization for Network Structures Network Applications in Wireless Systems Recent publications (2023-2025) demonstrate methodological innovation in hypergraph sampling (Hypercurveball algorithm) and geometric network detection, while addressing practical challenges in mmWave networks, cellular resilience, and reaction network analysis. Her work consistently bridges abstract mathematical frameworks with engineering applications through rigorous probabilistic modeling. Dr. Stegehuis has supervised two graduate students and contributed two significant datasets to the research community. Though no specific awards are documented in the provided materials, her h-index of 9 and consistent publication output (10 papers in 2025) reflect substantial scholarly impact. Current research initiatives focus on multi-connectivity optimization for wireless networks, geometric structure detection in scale-free graphs, and applying random graph theory to model out-of-equilibrium chemical systems, often through interdisciplinary collaboration with domain experts.

• Random Graphs
• Network Science
• Theoretical Computer Science
• +4 more

Sacha Gelfer serves as an Associate Professor in the Department of Economics at Bentley University. Her academic profile is marked by a strong research focus in macroeconomics, monetary economics, and economic education, with contributions spanning publications in leading journals and active participation in professional forecasting panels. Her educational background includes: Ph.D. in Economics, University of Oregon, 2016 M.S. in Economics, University of Oregon, 2012 M.A. in Economics, George Mason University, 2011 B.A. in Political Science, University of Colorado at Boulder, 2009 Professor Gelfer's research spans macroeconomics, monetary policy, and economic education. Her work employs dynamic stochastic general equilibrium (DSGE) models to analyze business cycles, monetary transmission, and the impact of unconventional monetary policies. Additionally, she investigates innovative teaching methods in economics through classroom experiments. Her recent publications (2021-2024) demonstrate a dual focus: advancing macroeconomic modeling (particularly DSGE frameworks for open economies and regional analysis) and evaluating pedagogical techniques in economics education. This reflects a commitment to both theoretical economic research and practical educational improvement. No specific scientific awards or honors were listed in the provided information. The available information does not detail any graduate students advised by Professor Gelfer or specific research grants she has secured. Her professional service includes participation in the Survey of Professional Forecasters (since 2016) and the Pulsenomics Home Price Expectations Survey (2020), indicating engagement with policy-relevant economic forecasting. There is no mention of specific research labs or teams led by Professor Gelfer in the provided text.

• Macroeconomics
• Monetary Economics
• Econometrics
• +2 more

Michael Wooldridge is Professor of Computer Science at the University of Oxford and Senior Research Fellow at Hertford College, having served as Head of Department from 2014-2021. He leads research in artificial intelligence with over 450 publications in multi-agent systems, game theory, and machine learning. His research examines computational approaches to multi-agent coordination, strategic reasoning, and trustworthy AI. Current projects explore foundations of trustworthy AI through theoretical frameworks for rational verification and equilibrium analysis in complex interactive systems. Recent publications demonstrate increasing focus on large language models and their applications in multi-agent coordination, security challenges in generative AI, and computational social systems. Research integrates theoretical work with experimental validation in complex simulation environments. Honors include: Lovelace Medal (BCS, 2020) ACM Autonomous Agents Research Award (2006) AAAI/EAAI Outstanding Educator Award (2021) European Association for AI Distinguished Service Award (2023) He currently supervises doctoral students in multi-agent reinforcement learning and game-theoretic verification. Major grants include a Turing AI World Leading Researcher Fellowship (UKRI, 2021) and ERC Advanced Grant 'Reasoning About Computational Economies' (2011). As Editor-in-Chief of Artificial Intelligence Journal and former president of IJCAI, EurAI, and IFAAMAS, he maintains extensive professional service commitments while leading the Whiteson Research Lab.

• Artificial Intelligence
• Multi-Agent Systems
• Machine Learning
• +1 more

Lefort Jean-Philippe serves as a Lecturer at Paris Dauphine University, where he is affiliated with the LEDa research center (Laboratoire d'Economie de Dauphine). His academic work centers on theoretical economics with a specialized focus on decision-making under uncertainty and ambiguity, contributing significantly to the advancement of non-expected utility frameworks. His research spans Decision Theory , Ambiguity Modeling , and Game Theory , particularly examining neo-additive capacities, dynamic rationality, and probabilistic information processing. Key contributions include the development of generalized pricing rules under ambiguity, dynamic extensions of the Ellsberg paradox, and foundational work on belief updating mechanisms. His methodological approach integrates rigorous mathematical economics with experimental validation, yielding insights applicable to financial economics and strategic interaction analysis. Analysis of his publication trajectory (2008-2021) reveals consistent innovation in ambiguity modeling, with increasing focus on dynamic applications and financial contexts. His work demonstrates strong continuity in exploring how agents process probabilistic information under uncertainty, bridging theoretical economics with practical market phenomena through sophisticated non-additive probability frameworks. Lefort maintains active research collaboration within the LEDa center, contributing to its mission of advancing economic theory through interdisciplinary approaches that combine mathematical rigor with behavioral insights.

• Decision Theory
• Ambiguity in Economics
• Game Theory
• +3 more

Dr. Michael Berhanu is a Senior CNRS researcher at the Laboratory Matières et Systèmes Complexes (MSC) within Université Paris Cité, where he has been working since 2010. Previously a CNRS researcher at the same institution (2010-2024), he specializes in fundamental aspects of non-linear physics and out-of-equilibrium systems, with particular focus on fluid mechanics problems related to environmental and natural phenomena across various scales. He earned his PhD in Physics from the École Normale Supérieure in 2008, with his thesis titled 'Turbulent Magnetohydrodynamics in liquid metals' supervised by Professors Stéphan Fauve and Nicolas Mordant. Prior to this, he completed a Master's degree in Physics from the École Normale Supérieure de Lyon in 2005. Between 2008 and 2010, he served as a Postdoctoral Researcher at Clark University, Massachusetts, USA, working in the Complex Matter and Nonlinear Physics Laboratory under Arshad Kudrolli. In December 2020, he successfully defended his habilitation thesis on 'Wave interactions and wave turbulence in presence of dissipation'. Dr. Berhanu's research spans multiple interconnected domains within fluid mechanics and non-linear physics. His primary focus areas include hydrodynamics of erosion by dissolution with applications to geomorphology, gravity-capillary surface waves and wave turbulence phenomena, turbulence in free surface flows, granular gas of magnetized particles as models for out-of-equilibrium statistical physics, and surface wave generation by underwater moving bottoms. His work often bridges laboratory experiments with natural phenomena, creating valuable analogs for understanding complex environmental processes. Notably, he has conducted research on capillary waves in microgravity as part of experiments aboard the International Space Station. Analysis of his recent publications reveals a consistent focus on wave dynamics, fluid-structure interactions, and pattern formation in natural systems. His work demonstrates strong interdisciplinary connections between fluid mechanics, statistical physics, and geophysical processes. He frequently employs experimental approaches combined with theoretical modeling to investigate nonlinear phenomena, with particular attention to dissipation effects and non-equilibrium dynamics. His research has important implications for understanding natural phenomena ranging from erosion patterns to wave dynamics in various environmental contexts. Dr. Berhanu actively participates in scientific outreach, including talks for physics teachers, presentations at the Pint of Science festival, and leadership in the French Physicists' Tournament. He has also organized professional development sessions for high school teachers and regularly participates in the 'Fête de la Science' events. His laboratory, MSC, is part of Université Paris Cité, which was formed in 2020 through the merger of University Paris Diderot and University Paris Descartes.

• Fluid Mechanics
• Non-linear Physics
• Wave Turbulence
• +5 more

Luis Ángel Sánchez Pérez serves as a Professor at Spain's Polytechnic University of Cartagena, with a distinguished career in mathematical research spanning over a decade. His work primarily focuses on theoretical and applied aspects of dynamical systems and differential equations, contributing significantly to the understanding of nonlinear phenomena in mathematical modeling. His research interests center on dynamical systems theory, particularly monotone systems, periodic orbit analysis, and stability properties in nonlinear differential equations. He applies geometric and analytical methods to study convergence behavior, bifurcations, and orbital stability across diverse contexts including electrical circuits, biochemical oscillators, and generalized cone structures. His work bridges abstract mathematical theory with practical applications in engineering and biological systems. Publication analysis from 2000-2010 reveals consistent specialization in geometric approaches to dynamical systems, with recurring themes of monotonicity, stability criteria, and high-dimensional behavior. His research demonstrates particular expertise in adapting the Poincaré-Bendixson theorem to novel system classes, analyzing multi-equilibrium circuits like Chua's system, and developing convergence criteria for biological models including the Goodwin oscillator. The trajectory shows increasing sophistication in handling complex nonlinear interactions while maintaining rigorous mathematical foundations.

• Dynamical Systems
• Differential Equations
• Mathematical Analysis
• +3 more

Dr. Jasper Michels serves as Group Leader and Researcher in the Department of Molecular Electronics at the Max Planck Institute for Polymer Research, a position he assumed in September 2014 after roles at TNO Science and Industry and Holst Center. His career bridges fundamental supramolecular chemistry and applied thin-film electronics development. His academic foundation includes: Chemistry degree specializing in Organic Chemistry from the University of Amsterdam (1995) PhD in Supramolecular Chemistry from the University of Twente (2001) with thesis: "Cyclodextrin Assemblies based on Multiple Non-Covalent Interactions" Michels' research centers on soft matter dynamics within functional systems , particularly thin-film organic electronics . His group investigates polymeric semiconductors for devices like LEDs and solar cells, focusing on phase transitions during solution processing and their impact on film morphology. Recent work extends these methodologies to cellular phase separation phenomena in life science, demonstrating interdisciplinary innovation. Analysis of his 2021-2022 publications reveals consistent emphasis on meniscus-guided coating techniques , phase behavior modeling , and structure-property relationships in organic semiconductors. These works span polymer science, materials engineering, and biophysics, reflecting convergence of fundamental dynamics with device optimization. Key recognition includes: Marie Curie Fellowship (EU) His funding history demonstrates competitive success, notably EPSRC support during Oxford post-doctoral work and sustained institutional backing at Max Planck. Professional service includes advisory board membership (2006-2016) for IOP Self Healing Materials in the Netherlands. Current research leverages advanced processing techniques to control crystallization and morphology in next-generation electronic materials. As Group Leader, Michels directs a multidisciplinary team utilizing experimental and theoretical approaches to solve challenges in out-of-equilibrium phase behavior, with facilities for materials synthesis, device fabrication, and nanoscale characterization.

• Soft Matter Dynamics
• Organic Electronics
• Polymeric Semiconductors
• +4 more

Professor Vasily Zaburdaev is a Principal Investigator leading the Department of Immunophysics at the Max Planck Center for Physics and Medicine, which is affiliated with Friedrich-Alexander University Erlangen-Nuremberg. His research group develops theoretical models to understand complex biological phenomena and their impact on disease, with expertise in theoretical biophysics, statistical physics, and numerical methods. His research spans several interconnected areas: Bacterial biofilms as complex materials, focusing on their mechanical properties and wound healing capabilities Immunophysics, studying how physical interactions govern immune cell behavior and response to pathogens Statistical physics of active systems, developing new theoretical approaches for understanding biological processes outside thermal equilibrium Zaburdaev's work combines theoretical modeling with close collaboration with experimental groups, utilizing approaches from stochastic processes and continuum theory of active hydrodynamics. His research has significant implications for understanding organizational principles that operate across various biological scales, from chromatin in the nucleus to multicellular aggregates. His recent publications demonstrate a strong focus on cellular organization, cytoplasmic dynamics, and the physical mechanisms governing biological systems. The research shows how concepts from statistical physics can reveal analogies and general behaviors in biologically diverse systems. Scientific Recognition While specific awards aren't listed in the provided information, Zaburdaev's research has been published in high-impact journals including Nature Communications, Physical Review Letters, and Nature Cell Biology, indicating significant recognition in his field. Academic Service Professor Zaburdaev is actively involved in teaching, offering courses such as "Stochastic Models for Life Sciences" and "Physics and biology of active systems" at the university level. His commitment to education complements his research activities, helping to train the next generation of scientists working at the intersection of physics and biology. Research Infrastructure His department is part of the Max Planck Center for Physics and Medicine, which includes various core facilities such as the Core Facility In-vivo Model Systems, Core Facility Microscopy, and Core Facility Lab-on-a-Chip, providing comprehensive research infrastructure for interdisciplinary work.

• Theoretical biophysics
• Statistical physics
• Non-equilibrium phenomena
• +5 more

W. Todd French serves as an Associate Professor in the Department of Chemical Engineering at Mississippi State University's Bagley College of Engineering, specializing in sustainable biofuel production from waste streams and microbial systems. Education: Ph.D. in Chemical Engineering, Mississippi State University, 2000 M.S. in Chemical Engineering, Mississippi State University, 1996 B.S. in Chemical Engineering, Northeast Louisiana University, 1990 His research focuses on converting wastewater treatment byproducts and industrial waste streams into valuable biofuels through microbial lipid production. Key methodologies include pressurized CO2 cell disruption, optimization of lipid extraction from wet biomass, and thermodynamic characterization of lipid-gas interactions. His work bridges chemical engineering fundamentals with environmental sustainability, emphasizing: Industrial-scale lipid recovery from microalgae and activated sludge Economic viability of microbial biodiesel production Integration of wastewater treatment with renewable fuel generation Utilization of volatile fatty acids and brewery effluents as microbial feedstocks Analysis of his 2015-2020 publications reveals a consistent trajectory toward industrial implementation, with increasing emphasis on pretreatment techniques for wet biomass, solubility modeling of CO2 in lipids, and economic assessments of microbial biodiesel systems. His research demonstrates how wastewater treatment facilities can function as biorefineries. No scientific awards were documented in the provided materials. While specific advising details are absent, his extensive publication record with multiple co-authors indicates active mentorship of graduate researchers in chemical engineering and biofuels. His work shows strong interdisciplinary collaboration across environmental engineering and microbiology domains. Dr. French conducts research within Mississippi State's Chemical Engineering infrastructure, leveraging university resources for experimental validation of lipid extraction processes and microbial cultivation systems focused on sustainable energy solutions.

• Biofuels
• Microbial Lipid Production
• Wastewater Treatment
• +3 more

Aram Bahrini is a Teaching Assistant Professor and Deloitte Scholar at the Gies College of Business (University of Illinois at Urbana-Champaign), holding an Assistant Professor rank in Business Administration. His research focuses on mathematical modeling, optimization, game theory, and machine learning applied to resource management, healthcare systems, and supply chain operations. Education : Ph.D., Systems Engineering, University of Virginia (2023) M.S., Mathematics, University of British Columbia (2019) M.S., Industrial & Manufacturing Systems Engineering, Kansas State University (2017) Research Interests : Methods: Mathematical modeling, optimization, machine learning, game theory Applications: Supply chain management, healthcare analytics, business intelligence, renewable energy forecasting Key Contributions : His work spans predictive healthcare analytics, sustainable supply chain optimization, and AI ethics in hiring. Notable projects include developing XGBoost-based energy consumption models and analyzing post-pandemic patient flow in healthcare clinics. Awards & Service : Recipient of Teachers Ranked as Excellent (UIUC, 2023) Session chair for IEEE SIEDS (2022–2024) and INFORMS Annual Meeting (2023–2024) Ad Hoc reviewer for over 30 journals including European Journal of Operational Research and IEEE Transactions on Industrial Informatics Teaching : Courses: BADM 210/211 (Business Analytics), BADM 378 (Logistics Management), BADM 453 (Business Intelligence) Labs & Teams : Active in systems engineering and data science collaborations at the University of Virginia's Link Lab and UIUC's Business Analytics group.

• Operations Research
• Machine Learning
• Supply Chain Management
• +4 more

Professor Marcus Berliant is a Professor of Economics and Chair of the Ph.D. Admissions Committee at Washington University in St. Louis. He holds a Ph.D. from the University of California, Berkeley. His research focuses on economic theory, public finance, urban economics, and positive political theory. Current work includes studies on income taxation politics, knowledge creation microstructure, and urban growth dynamics. Key publications span topics such as tax equity, public goods provision, and urban spatial models. He has advised 39 Ph.D. students, many placed at top institutions like Stanford University. Awards include Fellow of the Regional Science Association International (2005), two Outstanding Faculty Mentor Awards, and the 2003 Emerson Excellence in Teaching Award. Prior to Washington University, he taught at the University of Rochester and served as a Congressional staff member. Research interests emphasize interdisciplinary approaches, blending mathematical rigor with policy relevance. His work frequently addresses spatial economics, taxation systems, and the interplay between knowledge and economic growth. Appendices to recent works explore advanced topics like knowledge diversity and labor differentiation in general equilibrium frameworks.

• Economic Theory
• Mathematical Economics
• Public Finance
• +3 more

Michael D. Whinston is the Sloan Fellows Professor of Management in the Applied Economics Group at MIT Sloan and Professor of Economics in MIT's Economics Department. He holds dual roles bridging management and economics disciplines. Previously, he was the Robert E. and Emily H. King Professor of Business Institutions at Northwestern University (1998–2013) and a Professor of Economics at Harvard University. Education: Bachelor of Science in Economics, Wharton School, University of Pennsylvania Master of Business Administration in Finance, Wharton School, University of Pennsylvania PhD in Economics, Massachusetts Institute of Technology Research Interests: Michael’s work focuses on microeconomic theory, industrial organization, antitrust policy, and health economics. He explores firm behavior in oligopolistic markets, vertical integration, merger policy, and the design of contracts and organizations. Recent studies include optimal health insurance contracts and targeted lockdown strategies during pandemics. His research combines theoretical rigor with policy relevance, addressing topics like competition law and market dynamics. Key Contributions: Co-author of the seminal Microeconomic Theory (Oxford University Press, 1995) Author of Lectures on Antitrust Economics (MIT Press, 2006) Co-developed influential models on merger policy and health insurance design Awards & Honors: Fellow of the American Academy of Arts and Sciences Fellow of the Econometric Society Compass Lexicon Prize (2008) Frisch Medal and ACE Best Paper Award Named Distinguished Fellow (2016) Advising & Grants: Michael has mentored over 30 PhD students, many of whom hold prominent roles in academia and policy. His research has been supported by grants from institutions like the National Science Foundation. He currently serves on the editorial board of the American Economic Journals: Microeconomics . Affiliations: Applied Economics Group, MIT Sloan School of Management Economics Department, MIT

• Microeconomics
• Industrial Organization
• Antitrust Economics
• +5 more

Kanit Kuevibulvanich is an Associate Professor at the University of Chicago, affiliated with the Kenneth C. Griffin Department of Economics and the College. He has been at the university since 2017 and teaches intermediate/advanced macroeconomics, policy analysis, and principles of microeconomics/macroeconomics. He also advises students participating in the Fed Challenge and Fiscal Challenge teams. Research Focus: Structural macroeconomic models General equilibrium frameworks Dynamic programming methods Politico-economic effects of trade liberalization Wealth inequality analysis Educational Background: PhD in Economics from the University of Wisconsin-Madison

• Macroeconomics
• Structural Macroeconomic Models
• General Equilibrium
• +4 more