Gerhard Illing is a Professor and Chair Holder in the Department of Economics at Ludwig Maximilian University of Munich, specializing in monetary policy and financial stability with a focus on central banking mechanisms and crisis theory. His research centers on central bank policy design, institutional frameworks for monetary authorities, and theoretical models of financial and banking crises. This work consistently applies game-theoretic approaches to analyze strategic interactions in policy-making and crisis contagion dynamics, bridging economic theory with practical central banking challenges. His publications reveal a sustained scholarly trajectory examining the intersection of game theory and macroeconomic policy, particularly how strategic behavior affects central bank credibility, crisis management, and systemic risk mitigation. Key themes include institutional design for monetary policy independence and analytical frameworks for financial contagion.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۶۱-۷۵ از ۳۳۷ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Abi Adams is the Nuffield Professor of Economics at the University of Oxford, with visiting appointments at Northwestern University and MIT. She is a leading figure in applied microeconomics and labour economics, holding affiliations with the Institute for Fiscal Studies (IFS), Centre for Economic Policy Research (CEPR), and the Royal Economic Society. PhD in Economics, University of Oxford (2015) MPhil in Economics, University of Oxford (Distinction) BA in Politics, Philosophy, and Economics, University of Oxford (1st Class) Her research centers on labour economics , gender-based violence , and behavioral decision-making . She uses empirical methods to analyze job flexibility, gig economy dynamics, and the economic consequences of domestic abuse. Her work bridges economics and law, influencing public policy through high-impact research. Her recent publications in top journals such as the Quarterly Journal of Economics and American Economic Review focus on domestic violence, remote work, mental health during crises, and gender wage gaps in digital labor markets. These works highlight trends in policy-relevant empirical microeconomics , behavioral responses to shocks , and gender and inequality . Philip Leverhulme Prize ESRC Outstanding Impact in Public Policy Prize O2RB Impact Prize Edgeworth Prize for Best PhD Thesis Excellence in Refereeing Award, AER: Insights She has secured major grants from the ERC, Nuffield Foundation, and UKRI, often as Principal Investigator. She actively supervises PhD and MPhil students at Oxford and has advised on UK parliamentary inquiries and litigation related to gender violence and employment rights. Her institutional roles include serving on the Governing Council of the Royal Economic Society and the editorial board of Review of Economic Studies . She leads the Applied Microeconomics group at Oxford and co-convenes programs in business economics and climate economics. She is also involved in public engagement through policy reports and media contributions.
Charles Sprenger is a Professor of Economics at the California Institute of Technology (Caltech), affiliated with the Division of the Humanities and Social Sciences. He holds a B.A. from Stanford University (2002), an M.Sc. from University College London (2005), and a Ph.D. from the University of California, San Diego (2011). As Executive Officer for Caltech's HSS division (2022-2025), he oversees academic leadership and interdisciplinary research. B.A., Stanford University, 2002 M.Sc., University College London, 2005 Ph.D., University of California, San Diego, 2011 Professor Sprenger specializes in behavioral and experimental economics, focusing on intertemporal decision-making and choices under uncertainty. His research designs experiments to test deviations from standard economic models, with applications ranging from food consumption to vaccination programs and tax compliance. Key contributions include analyzing dynamic inconsistency, reference-dependent preferences, and the empirical validity of cumulative prospect theory. His recent publications examine procrastination in tax filing, risk preferences in high-stakes settings, and incentive customization for public health interventions. Awards include the Sloan Foundation Fellowship (2016-2018), and he serves on editorial boards for top journals like the American Economic Review and Journal of the European Economic Association. Sloan Foundation Fellowship (2016-2018) Sprenger is actively involved in Caltech's Ronald and Maxine Linde Institute of Economic and Management Sciences and the Center for Theoretical and Experimental Social Sciences (CTESS). He has co-authored foundational studies on time preferences, risk attitudes, and behavioral interventions in real-world contexts.
Justin Leibyمشاهده پروفایل
دانشیار
Justin Leiby is an Associate Professor of Accountancy at the University of Illinois Urbana-Champaign’s Gies College of Business, serving as Academic Director of the BSA/MSA Program and holder of the Professor Ken Perry Faculty Fellowship. His research focuses on auditing practices, professional skepticism, audit quality, and the application of data analytics in auditing. He is based at 196 Wohlers Hall in Champaign, Illinois, and can be reached at jleiby2@illinois.edu. Leiby’s work bridges experimental auditing research and real-world audit processes, examining how audit committees influence professional skepticism, the impact of data analytics on auditor decision-making, and the effects of incentive systems on auditor behavior. His recent studies address challenges in audit evidence review, audit effort allocation, and spreadsheet governance risks in financial reporting. Though no specific awards are listed, his leadership roles indicate recognition of his contributions to academic programs and research. His advising and grant activities are tied to his directorship of the BSA/MSA program, which likely involves curriculum development and student mentorship. Leiby’s research often intersects with interdisciplinary teams, leveraging online platforms to advance experimental methods in auditing.
- Economics
- Microeconomics
- Political Economy
- +۴ مورد دیگر
David Ahn is a Professor of Economics at the Olin Business School, Washington University in St. Louis. He specializes in economic theory, with focuses on voting theory, mechanism design, game theory, and decision theory. Previously, he held a professorship at UC Berkeley's Department of Economics. Education: PhD in Economics, Stanford University (2004) BA and MA in Economics, Emory University (1999) His research explores foundational questions in decision-making under uncertainty, behavioral economic preferences, and the design of optimal voting mechanisms. Key themes include modeling time-inconsistent preferences, stochastic choice behavior, and the aggregation of information in collective decisions. His publications span top journals like Econometrica , Journal of Economic Theory , and Review of Economic Studies , reflecting contributions to both theoretical rigor and applied behavioral economics. Awards: Review of Economic Studies Tour (2004) He serves as Editor/Associate Editor for Econometrica . His work bridges abstract economic theory with real-world institutional design challenges, particularly in voting systems and incentive-compatible mechanisms.
Professor Laura Marsiliani is a faculty member at the Durham University Business School, specializing in Public Economics and Environmental Economics. She holds a PhD in Economics from London Business School and has held academic positions at Tilburg University and the University of Rochester. Her research focuses on the intersection of environmental policy, public finance, and development economics, particularly in contexts like Bangladesh. She is affiliated with the Centre for Environmental and Energy Economics (CEEE) and has organized international conferences funded by the EU EURESCO Programme. Professor Marsiliani teaches Environmental Economics and Public Economics at undergraduate and master’s levels, and supervises PhD students in Environmental and Energy Economics. She has contributed to the development of the MSc Economics Programme and the Dissertation Abroad Module. Her leadership roles include Chair of the MSc Board of Examiners and Diversity Champion. She is a Fellow of the Higher Education Academy (HEA) and actively engages in community initiatives, including volunteer work with the NHS and social responsibility projects. Education: PhD in Economics, London Business School Leadership Roles: Chair of MSc Board of Examiners, Quality Enhancement Co-ordinator, International Exchanges Co-ordinator Professional Affiliations: Member of the CEEE, County Durham and Darlington NHS Foundation Trust Her research explores topics such as optimal taxation, energy policy, climate change mitigation, and the macroeconomic impacts of environmental regulations. Recent work includes studies on Bangladesh’s energy sector reforms, hydrogen supply chains, and sovereign debt relief mechanisms. Awards: Multiple departmental and faculty awards Grants: EU EURESCO-funded conferences, contributions to ADBI research Professor Marsiliani advises on scholarships for master’s students and collaborates with external organizations to identify talent. Her lab/centre affiliation, the CEEE, underscores her commitment to interdisciplinary environmental and energy economics research.
William Nomikosمشاهده پروفایل
استادیار
- International Relations
- Peacekeeping
- Civil Wars
- +۳ مورد دیگر
William Nomikos is an Assistant Professor of Political Science at the University of California, Santa Barbara (UCSB), where he directs the Data-driven Analysis of Peace Project (DAPP) lab. Previously, he served as an Assistant Professor at Washington University in St. Louis (2019–2023) and completed his Ph.D. in Political Science at Yale University in 2019. His research focuses on how identity and domestic politics influence international interventions, with particular attention to UN peacekeeping, climate change-induced conflict, and post-conflict governance. Education: Ph.D. in Political Science, Yale University, 2019 Research Interests: Nomikos examines UN peacekeeping effectiveness, intergroup cooperation in conflict zones, and climate change's impact on social stability. His first book, Local Peace, International Builders: How the UN Builds Peace from the Bottom Up , explores conditions under which international actors stabilize fragile states. Current projects include analyzing UN peacekeeping's role in mitigating climate-driven conflicts and investigating the unintended consequences of state-centric peacebuilding. Lab & Collaborations: The DAPP lab unites researchers studying international security, conflict processes, and peacebuilding. Ongoing projects include field experiments in Mali and Burkina Faso, analysis of social media discourse on foreign policy, and development of novel datasets like the RADPKO (Robust Africa Deployments of Peacekeeping Operations).
Laura Abrardiمشاهده پروفایل
دانشیار
- Competition
- Consumer behavior
- Data privacy
- +۷ مورد دیگر
Laura Abrardi is an Associate Professor (L. 240) at the Department of Management and Production Engineering (DIGEP) of Politecnico di Torino. She serves as Academic Advisor for the Master of Science in Industrial Engineering and Management and as a member of the Energy Center Lab (Ec-L). Research interests: Competition, Consumer behavior, Data privacy, Digital economics, Market regulations Scientific branch: ECON-04/A - Applied Economics (Area 0013 - Economic and statistical sciences) Teaching roles: Course Lecturer for Economic Systems Analysis and Corporate Economics and Finance in Management Engineering programs Research projects: DIRES (2024-2025), CyberResilience (2023-2025), and commercial contracts on ultra-broadband impacts (2021) Her recent publications focus on data markets, digital economics, and pandemic-related organizational behavior. She supervises PhD student Sasha Grassini in Management, Production, and Design.
Marco Schwarzمشاهده پروفایل
پژوهشگر
Dr. Marco Schwarz is a Postdoctoral Researcher at the Düsseldorf Institute for Competition Economics (DICE), Heinrich Heine University Düsseldorf. He holds a Ph.D. in Economics from the University of Munich and has held postdoctoral positions at the University of Innsbruck and the University of California, Berkeley. His research focuses on Microeconomic Theory, Behavioral Economics, and Experimental Economics, with applications to Networks, Industrial Organization, and Public Policy. He investigates topics such as regulatory capture, long-term employment dynamics under present bias, and market design for credence goods. His work combines theoretical modeling with empirical analysis, addressing issues like social media’s impact on belief formation and the exploitation of time-inconsistent preferences in labor markets. Education: Ph.D. in Economics (2017), University of Munich M.Sc. and B.Sc. in Economics (2012 and 2011), University of Munich B.Sc. in Mathematics (2012), University of Munich Key Research Themes: Regulatory capture mechanisms, dynamic employment contracts, behavioral public policy, and credence goods markets. His recent publications explore how present bias affects long-term employment relationships and the role of revolving doors in regulatory capture. He organizes academic initiatives like the Webinar Series on Credence Goods and Expert Markets. His research emphasizes real-world applications, including policy design for social media regulation and optimal cooling-off periods for regulatory transitions.
Patrick Punمشاهده پروفایل
دانشیار
Patrick Pun is an Associate Professor in the Division of Mathematical Sciences at Nanyang Technological University (NTU), Singapore, serving as Assistant Chair (MSc Programs) and Director of the MSc in FinTech program within the School of Physical and Mathematical Sciences. His academic journey includes a Ph.D. and M.Phil. from the Chinese University of Hong Kong (CUHK) and a B.Sc. from Nankai University. Professor Pun’s research focuses on the intersection of applied mathematics and finance, with methodologies spanning stochastic controls, nonlinear partial differential equations (PDEs), robust optimization, and machine learning. His work addresses challenges in portfolio optimization, derivatives pricing, risk management, and financial data analysis. He has also contributed to interdisciplinary areas such as nanoparticle characterization and epidemiological modeling (e.g., during the COVID-19 pandemic). Award-winning scholar, Pun holds the 2016 Nicola Bruti Liberati Prize from the Bachelier Finance Society and the CUHK Young Scholars Thesis Award. He is an ad-hoc reviewer for leading journals including Automatica , SIAM Journal on Financial Mathematics , and Quantitative Finance . His professional roles include membership in the Academic Council of the Global Digital Economy Forum. Pun’s teaching and academic leadership include oversight of master’s programs and curriculum development. His research outputs emphasize innovative solutions to time-inconsistent problems, high-dimensional financial data challenges, and the integration of machine learning with traditional financial models. His recent work explores transformer-based generative models, quantum algorithms for financial PDEs, and reinforcement learning applications in portfolio management.
- Criminal Law
- Criminal Procedure
- Ethics
- +۹ مورد دیگر
Russell Christopher is a Professor of Law at the University of Tulsa’s College of Law. His research focuses on theoretical and philosophical issues within criminal law, criminal procedure, ethics, and morality. He holds a J.D. from the University of Michigan. Education: Russell Christopher earned his J.D. from the University of Michigan. Research interests include the theory of punishment, justification and excuse in criminal cases, and ethical dilemmas in areas like rape, blackmail, and torture. He critically examines retributivism, the paradoxes of capital punishment, and the intersection of legal rights with moral principles. His articles explore topics such as the moral implications of delayed capital punishment, the ethics of torture, and the philosophical foundations of criminal law. These works reflect a focus on retributive justice, legal procedure critiques, and systemic moral paradoxes. Scientific Awards: None listed. Advising and Grants: Russell Christopher has advised at least one student, Neha Jain (2015). No grants or funding opportunities are explicitly mentioned in the provided text. Labs/Teams: No specific lab or team affiliations are noted in the text.
Hang Liمشاهده پروفایل
پژوهشگر
Hang Li is a Researcher in the Department of Molecular Biophysics and Biochemistry at Yale University’s Yale School of Medicine. Their work focuses on advancing neural network architectures, quantization techniques, and spiking neural networks (SNNs). They are affiliated with the Molecular Biophysics and Biochemistry department and contribute to interdisciplinary research in artificial intelligence and computational neuroscience. Research interests include optimizing neural networks for efficiency through quantization, exploring spiking neural networks for low-power computing, and developing methods like hybrid SNN designs, post-training calibration, and neuromorphic architectures. Their recent work addresses challenges in extreme low-bit quantization, data augmentation for object detection, and temporal coding in SNNs. Publications highlight innovations in quantization methods (e.g., TesseraQ, GenQ), spiking transformer architectures, and workload-balanced pruning strategies. While no awards are explicitly listed, their contributions to model efficiency and neuromorphic computing are notable in the field. Hang Li collaborates on projects involving neuromorphic hardware, system inconsistency benchmarking (SysNoise), and data-driven spatio-temporal analysis. Their research bridges theoretical advancements and practical applications in AI and biomedical informatics.
Florian Zimmermann is Research Director at IZA and Professor at the University of Bonn. Previously, he served as Professor and Research Director at the briq Institute on Behavior & Inequality (2019–2023). His affiliations include the University of Zurich, University of Mannheim, University of California, Los Angeles (UCLA), University of California, San Diego (UCSD), and Harvard University. Education: PhD in Economics, Bonn Graduate School of Economics (2013) Bachelor/Master in Economics, University of Mannheim and UCLA Research Interests: A leading expert in behavioral and experimental economics, his work focuses on motivated cognition, belief formation, information processing, and their implications for financial markets, labor economics, and social behavior. Key themes include discrimination, climate change denial, trust, and self-assessment mechanisms. Publications: His research appears in top journals like the American Economic Review , Quarterly Journal of Economics , Management Science , and Nature Climate Change , with recurring themes of cognitive biases, decision-making under uncertainty, and market psychology. Editorial Roles: He serves as Associate Editor at the Quarterly Journal of Economics and Journal of the European Economic Association , and is on the editorial board of the Review of Economic Studies .
Chetan Aroraمشاهده پروفایل
مدرس ارشد
- Empirical Software Engineering
- Requirements Engineering
- Applied Natural Language Processing
- +۷ مورد دیگر
Dr. Chetan Arora is a Senior Lecturer in Software Engineering at Deakin University's School of Information Technology, part of the Faculty of Science Engineering and Built Environment. He holds a PhD from the University of Luxembourg where he received the best PhD thesis award in the ICT domain. His research focuses on applied Artificial Intelligence in Software Engineering, with particular emphasis on Empirical Software Engineering, Requirements Engineering, and Applied Natural Language Processing. PhD in Computer Science from University of Luxembourg Masters in Software Engineering from Technische Universitat Kaiserslautern (Germany) Bachelors in Engineering (CS) from Thapar University (India) Arora's research interests center on the intersection of AI and Software Engineering, particularly how machine learning and natural language processing can enhance software development processes. His work explores requirements engineering, test automation, software trustworthiness, and human-centric software development. He investigates how large language models can be effectively deployed for tasks like test case generation, requirements analysis, and traceability. His recent publications reveal a strong focus on practical applications of AI in software engineering, with numerous studies examining the real-world implementation challenges and benefits. His publication record shows significant activity in top software engineering venues, with a notable emphasis on AI applications in software engineering processes. His recent work demonstrates expertise in retrieval-augmented generation systems, requirements-driven testing, and human-centric software development approaches. The publications collectively highlight his focus on bridging theoretical AI advancements with practical software engineering challenges. Best Ph.D. thesis award in the ICT domain at University of Luxembourg Arora actively supervises doctoral students working on cutting-edge topics including satellite communication systems, extended reality applications, and human-centered AI requirements engineering. His industry collaborations include work with Department of Defence on projects like Contextually Situated Anomaly Detection and Planning and Optimisation of Resources in Defence Satellite Communication Systems. He previously worked at SES Satellites on applied AI for IoT and Satcom, and as an FNR-PPP research fellow at the University of Luxembourg in software quality assurance. His laboratory work focuses on developing practical AI solutions for software engineering challenges, particularly in requirements engineering and test automation. Current projects involve multi-orbit satellite constellation optimization, dynamic radio resource management, and extended reality enabled human-centric requirements engineering.
Boualem Djehiche is a Professor of Mathematical Statistics at the Department of Mathematics, KTH Royal Institute of Technology. He is affiliated with the Digital Futures Faculty and the SCI School at KTH. His research focuses on Stochastic Analysis, including Stochastic Control, Insurance Mathematics, Mathematical Finance, and Game Theory. Djehiche holds editorial roles in journals such as Scandinavian Actuarial Journal and Finance and Stochastics . Education details are not explicitly stated in the provided texts. His teaching responsibilities include courses like Game Theory, Probability Theory, and Financial Mathematics. He advises students in these areas, though explicit student names are not listed. His research explores advanced topics such as mean-field games, time-inconsistent optimal control, and applications in finance and economics. Recent publications address topics like zero-sum Dynkin games, generative AI outcomes as Nash equilibria, and commodity futures pricing with regime switching. Research Interests: Stochastic Control, Insurance Mathematics, Mathematical Finance, Mean-Field Games, System Identification. Editorial Duties: Editor-in-Chief of Scandinavian Actuarial Journal , Associate Editor of Finance and Stochastics , and roles in multiple other journals. Grants & Collaborations: Collaborations include work on disability insurance modeling, credit scoring, and energy market dynamics via mean-field-type games. Labs/Teams: Involved in cross-disciplinary initiatives like the Digital Futures research center, focusing on digital technologies and societal challenges.