جستجوی استاد راهنمای دانشگاهی

Christian Holzمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Wearable Technologies
• Mixed Reality
• +۴ مورد دیگر

Prof. Christian Holz is an Associate Professor at the Department of Computer Science and Deputy Head of the Institute of Intelligent Interactive Systems at ETH Zürich. His work focuses on advancing human-computer interaction through innovations in wearable technologies, mixed reality systems, and sensor-driven applications. Key research areas include motion capture, physiological signal processing, and adaptive user interfaces. Holz leads the SIPLab (siplab.ethz.ch), producing influential work at the intersection of computer science and biomedical engineering. His research explores cutting-edge topics such as egocentric vision systems, wearable health monitoring devices, and VR/AR applications. Recent studies investigate cybersickness detection via EEG, heart rate estimation from eye-tracking cameras, and scalable motion capture using inertial/UWB sensors. Holz's work emphasizes practical applications in healthcare, education, and human-centered computing. Publications reflect a strong focus on interdisciplinary solutions, combining machine learning with sensor data analysis. Notable contributions include the EgoSim multi-view simulator, WildPPG biomedical dataset, and MiBOT cardiovascular modulation device. His research bridges theoretical advancements with real-world usability in domains like emergency response training, chronic disease monitoring, and immersive education.

Samuel J. Gershmanمشاهده پروفایل

استاد

• Learning
• Memory
• Decision Making
• +۶ مورد دیگر

Samuel J. Gershman is a Professor of Psychology at Harvard University, affiliated with both the Department of Psychology and the Center for Brain Science. He directs the Computational Cognitive Neuroscience Lab (CCNLab), where he investigates how the brain acquires richly structured knowledge about the environment and uses this knowledge to guide adaptive behavior. Gershman received his B.A. in Neuroscience and Behavior from Columbia University in 2007 and his Ph.D. in Psychology and Neuroscience from Princeton University in 2013, followed by postdoctoral training in the Department of Brain and Cognitive Sciences at MIT (2013-2015). His research spans computational neuroscience, cognitive psychology, and machine learning. His primary research interests include learning, memory, decision making, and computational neuroscience. Gershman's work integrates behavioral, neuroimaging, and computational techniques to understand cognitive processes. He has made significant contributions to understanding memory systems, reinforcement learning, and the computational principles underlying human cognition. Analysis of Gershman's recent publications reveals a strong focus on computational approaches to understanding cognitive processes, with particular emphasis on memory systems, decision-making mechanisms, and the intersection of artificial intelligence with cognitive neuroscience. His work often bridges theoretical computational models with empirical neuroscience data, exploring how the brain implements efficient cognitive algorithms. Gershman actively mentors graduate students and postdoctoral researchers, with current advisees working on diverse projects spanning computational modeling, neuroimaging, and behavioral experiments. His lab investigates topics ranging from dopamine signaling to social cognition using a combination of theoretical and experimental approaches. The CCNLab, which Gershman directs, brings together researchers from psychology, neuroscience, computer science, and related fields to explore the computational principles of cognition. The lab utilizes a range of methodologies including behavioral experiments, neuroimaging, computational modeling, and theoretical analysis to address fundamental questions about how the mind works.

Jackie Chit Kit Cheungمشاهده پروفایل

دانشیار

• Natural Language Processing
• Natural Language Generation
• Automatic Summarization
• +۱۲ مورد دیگر

Jackie Chit Kit Cheung is an Associate Professor in the School of Computer Science at McGill University, where he co-directs the Reasoning and Learning Lab. He holds the Canada CIFAR AI Chair and serves as an Associate Scientific Co-Director at the Mila Quebec AI Institute. He is also a consulting researcher at Microsoft Research Montreal. Academic Background: Ph.D. in Computer Science, University of Toronto (2010–2014) M.Sc. in Computer Science, University of Toronto (2008–2010) B.Sc. (Honours) in Computer Science, minors in Linguistics and German, University of British Columbia (2004–2008) Research Interests: Jackie Cheung's research lies at the intersection of natural language processing, machine learning, and cognitive science. He focuses on natural language generation , automatic summarization , commonsense and pragmatic reasoning , and the evaluation of NLP systems . His work aims to build language models that reflect real-world structure and reasoning, with applications in health, education, and language revitalization. He is particularly interested in how implicit meaning is processed in context, a core concern in linguistic pragmatics. Publication Trends: His recent publications (2024–2025) show a strong emphasis on evaluation methodologies (e.g., COSMIC, ECBD), hallucination and factuality in language models, coreference and reasoning , and long-context modeling . He frequently collaborates across institutions and integrates insights from linguistics and psychology into NLP system design and analysis. Scientific Awards: Best Paper Award, ACL 2018 Outstanding Paper Award, NAACL 2018 Student Research Workshop SAC Award, ACL 2024 (for COSMIC) Best Poster Award, CMDO AI-Health Symposium 2024 Advising and Grants: He advises a large and diverse group of graduate students, including PhD and Master’s candidates, often in co-supervision with other faculty. His group has received support from major AI and health research initiatives, including CIFAR and Mila. He has trained alumni who have gone on to faculty and industry research positions. He has served in leadership roles in top NLP conferences, including as Senior Area Chair, Workshop Chair, and Program Chair of Canadian AI 2018. Labs and Teams: He co-directs the Reasoning and Learning Lab at McGill and is deeply involved with Mila – Quebec AI Institute . He founded the NLP Reading Group at McGill, which brings together researchers from computer science, linguistics, and information studies to discuss theoretical and applied NLP topics.

Pierre De Leoمشاهده پروفایل

استادیار

• International Macroeconomics
• Monetary Economics
• Finance
• +۳ مورد دیگر

Pierre De Leo is an Assistant Professor in the Department of Economics at the University of Maryland. His research focuses on international macroeconomics, finance, and monetary policy, particularly the role of expectations in identifying economic shocks, exchange rate dynamics, and optimal policy conduct. During Spring 2025, he will also be visiting the Federal Reserve Bank of Boston. Education: PhD and MA in Economics, Boston College BA and MA in Economics (highest honors), University of Milan - Bicocca Research Interests: De Leo explores topics such as exchange rate fluctuations, monetary policy design, and the impact of global investors on bond markets. His work bridges theoretical frameworks with empirical analysis to address policy-relevant questions in open economies, emphasizing the interplay between expectations and macroeconomic outcomes. Recent Articles: His publications analyze themes like the disconnect between short-term interest rates and policy, speculation in emerging markets, and the implications of imperfect exchange rate expectations. These studies highlight his focus on bridging theory and real-world policy challenges. Labs/Teams: No specific labs or teams are explicitly mentioned in the provided texts. However, his research aligns with broader initiatives in international macroeconomics and monetary policy at the University of Maryland.

Brian Lawrenceمشاهده پروفایل

استادیار

• Arithmetic Geometry
• Number Theory
• Diophantine Geometry
• +۲ مورد دیگر

Brian Lawrence is an Assistant Professor in the Department of Mathematics at the University of Wisconsin–Madison, currently on leave as of 2025. Previously, he held positions at UCLA, the University of Chicago, and Columbia University, following doctoral studies at Stanford University under Akshay Venkatesh. His educational background includes: PhD in Mathematics from Stanford University (advisor: Akshay Venkatesh) Lawrence's research centers on arithmetic geometry, specializing in Diophantine problems through p-adic methods. His work develops innovative approaches to Mordell's conjecture, Shafarevich-type results, and rational point distribution using p-adic Hodge theory, étale cohomology, and period mappings. He bridges theoretical number theory with computational frameworks, particularly in algorithmic solutions for Diophantine equations. His publication trends reveal sustained focus on foundational Diophantine geometry problems, with recent work emphasizing conditional algorithms for the Mordell problem and sparsity phenomena in integral points. Collaborations with leading mathematicians like Venkatesh and Sawin demonstrate interdisciplinary engagement across number theory and algebraic geometry. Lawrence actively mentors undergraduate researchers, supervising projects on resultants, Hodge theory, and symmetric polynomials by students including Pramana Saldin, Yuchen Chen, Anuj Sakarda, and Spencer Dembner. His organizational roles include founding the Crystalline Cohomology seminar at Columbia and co-organizing the University of Chicago Number Theory Seminar, fostering collaborative research environments. He contributes extensively through expository notes on schemes, polynomials on lattices, and Fibonacci numbers modulo p, reflecting commitment to mathematical education and knowledge dissemination across multiple institutions.

• modality
• philosophy of religion
• philosophical logic
• +۲ مورد دیگر

Professor Scott A. Shalkowski is a faculty member in the Department of Philosophy at the University of Leeds, part of the School of Philosophy, Religion and History of Science. He holds the academic rank of Professor and specializes in modality, philosophy of religion, philosophical logic, and the epistemology of religious belief. His work bridges metaphysics, epistemology, and the philosophy of religion, with a focus on modal epistemology and theoretical virtues. Education: PhD in Philosophy, University of Michigan BA in Philosophy, Houghton College Research Interests: Shalkowski’s research explores modal epistemology, method in metaphysics, mathematical nominalism, and the epistemology of religious belief. He has contributed to debates on logical pluralism, modal realism, and the relationship between science and religion. Publications: His work spans topics like modal logic, theoretical virtues, and metaphysical frameworks. Notable articles include Modal Epistemology for Modalists (2023) and Modalism and Logical Pluralism (2009). His research often emphasizes empirical grounding in philosophical theorizing. Awards: Shalkowski has received awards from the National Endowment for the Humanities, Australian Research Council, and British Academy. He was also nominated for an Excellence in Teaching Award. Grants & Labs: His research has been supported by grants from major funding bodies. He contributes to interdisciplinary discussions through his work in the Centre for Philosophy of Religion and Theology and the Centre for Theoretical Philosophy at Leeds.

Felipe Csaszarمشاهده پروفایل

استاد

• Strategic Management
• Artificial Intelligence
• Organizational Behavior
• +۳ مورد دیگر

Felipe Csaszar is a Professor of Strategy and Chair of the Strategy Department at the University of Michigan's Ross School of Business. His research focuses on decision structures' impact on innovation, financial performance, and social outcomes, with particular attention to cognitive frameworks, organizational processes, and AI's role in decision-making. He holds a PhD and MA from the Wharton School, University of Pennsylvania. Education: PhD in Strategy, University of Pennsylvania (2009) MA in Strategy, University of Pennsylvania (2007) Research Interests: Strategic decision-making under AI integration Cognitive and structural drivers of innovation Organizational decision processes and design Formal modeling and empirical strategy research Editorial Roles: Senior Editor, Strategy Science and Management Science Former Editor, Organization Science Co-editor, Handbook of AI and Strategy Professional Experience: Prior role: Assistant Professor at INSEAD Previous career: CEO of an internet startup and Head of Research at an asset management firm Labs/Teams: Leading the Strategy Science division at INFORMS Co-chair of the SMS Behavioral Strategy division

Walter W. Powellمشاهده پروفایل

استاد

• Organizational Theory
• Institutional Theory
• Network Analysis
• +۴ مورد دیگر

Walter W. Powell is the Jacks Family Professor of Education at Stanford University, with courtesy appointments in Sociology, Organizational Behavior, Management Science and Engineering, and Communication. He serves as Faculty Co-Director of the Stanford Center on Philanthropy and Civil Society (PACS), which he co-founded in 2006, and leads the Civic Life of Cities Lab examining civil society organizations across global metropolitan areas. Powell is also an External Faculty member at the Santa Fe Institute and co-directs the CASBS summer institute on Organizations with MIT's Bob Gibbons. His educational background includes a PhD in Sociology from SUNY-Stony Brook (1978), an MA in Sociology from the same institution (1975), and a BA from Florida State University (1971). Powell's research fundamentally explores how ideas and practices transfer across organizational boundaries, with particular emphasis on network structures that enable or constrain knowledge diffusion. His work spans organizational theory, institutional analysis, university-industry relations, economic sociology, and comparative analysis of nonprofit, public, and private institutional forms. Powell's publications reveal consistent focus on network dynamics and institutional evolution, particularly examining how organizations navigate between market, hierarchy, and network governance structures. His research demonstrates how knowledge spillovers operate within biotechnology clusters, how institutional isomorphism shapes organizational fields, and how civil society organizations adapt to technological and economic pressures across different urban contexts. Dean's Award for Excellence in Graduate Teaching (2018-19) Max Weber Award for "Neither Market Nor Hierarchy" Viviana Zelizer Prize for "Network Dynamics and Field Evolution" Administrative Science Quarterly Recognition Member of Swedish Royal Academy of Science Member of The British Academy Member of American Academy of Arts and Sciences Honorary Degrees from Uppsala University, Copenhagen Business School, and Aalto University Powell has made substantial contributions to graduate education, receiving Stanford's highest teaching honor. His leadership of PACS and SCANCOR (1999-2010) demonstrates sustained commitment to advancing organizational research through collaborative initiatives. He supervises postdoctoral fellows and runs annual PhD workshops in Europe, fostering the next generation of organizational scholars. His research has been supported by grants enabling comparative studies of university-industry relations and civil society across multiple national contexts. Through the Civic Life of Cities Lab at PACS, Powell directs comparative research on civil society organizations across seven global cities, examining how these organizations navigate technological change, economic pressures, and political environments. His work bridges theoretical organizational sociology with practical applications in philanthropy, civil society development, and knowledge transfer between academic and commercial sectors.

Blair Hoxbyمشاهده پروفایل

استاد

• Early Modern Literature
• Tragedy and Tragic Theory
• Milton Studies
• +۷ مورد دیگر

Blair Hoxby is Professor of English at Stanford University's School of Humanities and Sciences, where he has taught since 2007. Previously, he served as Associate Professor of History and Literature at Harvard University (2005-2007) and Associate Professor of English at Yale University (2003-2005), where he began as Assistant Professor in 1998. His academic journey includes a Ph.D. in English from Yale University (1998), an M.Phil. in English Studies from the University of Oxford (1990), and an A.B. in English and American Literature and Language from Harvard University (1988). Hoxby's research focuses on literature and culture from 1500 to 1800, with particular emphasis on tragedy theory, Milton studies, and the intersection of literature and economics. His notable works include What Was Tragedy? Theory and the Early Modern Canon (2015) and Mammon's Music: Literature and Economics in the Age of Milton (2002). He argues that early modern tragedy differed significantly from contemporary understandings of the genre, with passions rather than deeds or character serving as the keys to early modern tragic performance. Hoxby's recent scholarly output reveals a consistent engagement with early modern theatrical practices, particularly tragedy and opera. His work demonstrates sophisticated interdisciplinary approaches, connecting literary analysis with historical context, economic theory, and performance studies. He has made significant contributions to understanding how commercial culture shaped literary production and how theatrical conventions evolved across national boundaries in Europe. Scientific Awards and Honors Internal Fellow, Stanford Humanities Center (2009-2010) Morse Fellowship, Juilliard School (2001-2002) Samuel and Ronnie Heyman Prize, Yale University (2001) John Addison Porter Prize, Yale University (1999) Rhodes Scholarship, University of Oxford (1988-1990) Hoxby has supervised numerous doctoral students and served in various administrative roles at Stanford, including Director of Undergraduate Studies (2011-2014) and Director of Graduate Admissions (2008-2011). His teaching portfolio includes courses on English poetry from the Renaissance to Romanticism, tragedy and tragic theory from Aristotle to the present, theater history, and performance theory. Currently, he teaches courses such as Court Theater from Shakespeare to Mozart and Introduction to English II: From Milton to the Romantics . Hoxby maintains active scholarly engagement through committee memberships, including the Executive Committee of the Milton Society of America (2009-2013) and service as a referee for major academic presses including Oxford University Press and the University of Pennsylvania Press.

Ramón Soneira Martínezمشاهده پروفایل

پژوهشگر ارشد

• Ancient History of Religion
• Theory and Methodology of Religious Studies
• Religious Deviance
• +۱ مورد دیگر

Ramón Soneira Martínez is a Postdoctoral Fellow at the Austrian Archaeological Institute's Department of Classical Studies. He holds a Degree in History from the Complutense University of Madrid (Spain) with a focus on Ancient History, a Master's degree in Religious Studies, and a PhD in Religious Studies from the Max-Weber-Kolleg of the University of Erfurt (Germany) and the University of Graz (Austria). His academic career centers on interdisciplinary approaches to ancient religious phenomena. Education : Bachelor's Degree in History (Ancient History focus), Complutense University of Madrid Master's Degree in Religious Studies Doctor of Philosophy (PhD) in Religious Studies, Max-Weber-Kolleg (University of Erfurt) and University of Graz Research Interests : Ramón specializes in Ancient History of Religion, Theory and Methodology of Religious Studies, Religious Deviance, and Atheism in the ancient Mediterranean. His work explores unbelief narratives, sacred spatial practices, and biopolitical dimensions of religious systems in Greco-Roman contexts. Publication Trends : His recent scholarship (2020–2025) examines atheistic positions in Classical Athens, interdisciplinary frameworks for analyzing ancient religion, biopolitical dimensions of marriage, and ecological interpretations of sacred landscapes. These works frequently engage with Platonic philosophy, pre-Socratic thought, and comparative methodologies across Mediterranean civilizations. Current Research Projects : Doubt and religion in the ancient Mediterranean: A comparative analysis of unbelief narratives Lodging/Living in a Sacred Context: Investigating spatial dynamics of religious environments

• Behavioral Economics
• Decision Theory
• Game Theory
• +۸ مورد دیگر

Jose Apesteguia is an ICREA Research Professor at the Department of Economics and Business, Universitat Pompeu Fabra, Barcelona, Spain. His research focuses on behavioral economics, decision theory, experimental economics, and game theory, with particular emphasis on topics such as behavioral heterogeneity, rationality measures, stochastic choice models, and social preferences. Apesteguia has collaborated extensively with scholars like Miguel A. Ballester and Jörg Oechssler, producing influential work on topics ranging from imitation dynamics to the impact of language on moral decisions. His research integrates theoretical frameworks with experimental methods, exploring how individuals make decisions under uncertainty, time preferences, and social contexts. Key contributions include the development of measures of rationality and welfare, as well as analyses of behavioral adaptation and the role of information in competitive environments. His work frequently bridges economic theory with empirical validation, addressing real-world issues such as rule compliance in public institutions and team performance in organizations. Apesteguia’s publications span top journals including the American Economic Journal: Microeconomics , Journal of Economic Theory , and Econometrica . He teaches advanced courses on bounded rationality and behavioral decision theory at the undergraduate and graduate levels. His research has been applied to fields like finance (e.g., copy trading behavior) and public policy (e.g., promoting compliance in libraries).

Aise Johan de Jongمشاهده پروفایل

استاد

• Algebraic Geometry
• Arithmetic Geometry
• Stacks Theory
• +۴ مورد دیگر

Aise Johan de Jong is a Professor in the Department of Mathematics at Columbia University, where he teaches courses including representations of finite groups and organizes the algebraic geometry seminar. He is a leading figure in algebraic geometry with a particular focus on stacks theory and arithmetic aspects of algebraic varieties. Institution: Columbia University, Department of Mathematics Research Focus: Algebraic stacks, arithmetic geometry, moduli spaces Major Project: The Stacks Project (open-source collaborative textbook) De Jong's research primarily centers on algebraic stacks, arithmetic geometry, and the foundations of algebraic geometry. His work bridges abstract theoretical frameworks with concrete computational aspects, particularly in positive characteristic. He has made significant contributions to understanding Brauer groups, period-index problems, and the geometry of moduli spaces. His research often connects number theory with geometric structures, exploring how arithmetic properties manifest in geometric settings. His publication record shows a consistent focus on fundamental structures in algebraic geometry, with particular emphasis on stacks theory (evident in The Stacks Project), Brauer groups, rational connectivity, and arithmetic properties of algebraic varieties. The trajectory of his work demonstrates increasing sophistication in handling complex geometric structures while maintaining connections to arithmetic questions. His most recent work continues to explore the interplay between algebraic geometry and number theory, particularly through the lens of stacks and moduli spaces. De Jong actively mentors graduate students, with numerous descendants listed in the Mathematics Genealogy Project. His academic lineage includes researchers working across various subfields of algebraic geometry. He has organized multiple conferences including "Moduli spaces and moduli stacks" (2012) and "Spaces of curves and their interaction with diophantine problems" (2009), demonstrating his leadership in the field. He leads The Stacks Project, a major collaborative open-source initiative that has become an essential reference for algebraic geometers worldwide. This project provides comprehensive foundations for algebraic stacks and related concepts, with regular updates and community contributions. De Jong also maintains the Stacks Project Blog where he discusses mathematical topics related to the project and shares updates.

• Behavioral Economics
• Intertemporal Choice
• Risky Choice
• +۲ مورد دیگر

Charles D. Sprenger is a Professor of Economics at the California Institute of Technology (Caltech), where he has served since 2020 and held the position of Executive Officer from 2022 to 2025. He is affiliated with Caltech's Division of the Humanities and Social Sciences (HSS) and holds key roles at the Ronald and Maxine Linde Institute of Economic and Management Sciences and the Center for Theoretical and Experimental Social Sciences (CTESS). His external appointments include Board of Editors for the American Economic Review and Associate Editor roles for the Journal of the European Economic Association and Quantitative Economics . His educational background includes 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). These credentials established his foundation in economic theory and experimental methodology. Sprenger is a leading behavioral and experimental economist specializing in intertemporal decision making and choices under uncertainty. His research designs innovative experiments across diverse contexts—from food deserts in the United States to polio vaccination drives in Pakistan—to test the validity of standard economic models. His work consistently reveals significant deviations from rational choice theory, particularly regarding time inconsistency, risk preferences, and reference-dependent behaviors. He has pioneered methods for measuring time preferences and testing cumulative prospect theory, with implications for public policy and behavioral interventions. Analysis of his 15 most recent publications (2015-2024) shows a cohesive research program centered on behavioral anomalies in decision making. His work bridges laboratory precision with real-world field applications, demonstrating how psychological factors like procrastination and loss aversion manifest in high-stakes environments. Key trends include the development of tailored incentive structures, validation of rank-dependent utility models, and exploration of dynamic inconsistency across domains including health, finance, and public policy. His notable recognition includes: Sloan Foundation Fellowship (2016-2018) Sprenger actively contributes to the academic community through editorial leadership and collaborative research. His work has been featured in Caltech news for projects like "Reducing Procrastination with Tailored Incentives" (2023) and the graduate summer program "Experimental Economics in Theory and Practice" (2023). Though specific advisees aren't listed, his teaching of advanced courses like Experimental Economics (SS 212 abc) indicates mentorship of graduate researchers. He secures significant research funding through fellowships and institutional support, enabling large-scale field experiments. As a core member of CTESS, Sprenger leads a multidisciplinary team conducting cutting-edge experimental economics research. His lab integrates theoretical modeling with empirical validation, focusing on how behavioral insights can improve policy design in areas like tax compliance, vaccination programs, and financial decision making. Current work emphasizes scalable interventions for procrastination and preference-based incentive customization.

Jeffrey T. Checkelمشاهده پروفایل

استاد

• International Relations Theory
• Constructivism
• International Institutions
• +۵ مورد دیگر

Jeffrey T. Checkel is a Full-time Professor in the Department of Political and Social Sciences at the European University Institute (EUI). He joined EUI in 2020 and previously held positions at Simon Fraser University, the University of Pittsburgh, and the University of Oslo. He earned his PhD in Political Science from MIT and a first degree in Applied Physics from Cornell University. His research focuses on international relations theory, qualitative methods, and identity formation. Key areas include constructivism, international institutions, civil war dynamics, and processual methods. He teaches courses on IR theory, qualitative methods, and philosophies of social science. Checkel's recent work explores 'Institutions at Bay? Regional Integration and Identity,' analyzing how regional organizations shape identity through local and national dynamics. He is Co-Editor-in-Chief of QMMR: Qualitative and Multi-Method Research and President of the APSA Qualitative and Multi-Method Research Organized Section. Education: PhD in Political Science (MIT), B.S. in Applied Physics (Cornell University) Research Interests: Identity formation, process tracing, constructivism, international institutions, civil war, qualitative methodologies. He advises numerous PhD students and post-doctoral fellows, leading working groups on IR theory and qualitative fieldwork. His publications span over 99 works, with a focus on bridging theoretical and methodological divides in social science.

Metin Uyanikمشاهده پروفایل

مدرس ارشد

• Economic Theory
• Game Theory
• Microeconomic Theory
• +۳ مورد دیگر

Dr. Metin Uyanik is a Senior Lecturer at the School of Economics, The University of Queensland. He holds a PhD from Johns Hopkins University (2016) and previously worked as a Postdoctoral Research Fellow at the University of Rochester's Wallis Institute of Political Economy. His research focuses on Economic Theory, Game Theory, Political Economy, Computational Economics, and Mathematical Economics. His work has been published in top-tier journals such as Economic Theory , Games and Economic Behavior , and Journal of Mathematical Economics . Education: Bachelor of Economics, Bogazici University Masters (Research) of Economics, Koc University Doctor of Philosophy, The Johns Hopkins University Research Interests: Dr. Uyanik's research bridges theoretical and applied economics, emphasizing foundational mathematical approaches. His work explores general equilibrium theory, discontinuous games, topological methods in economics, and welfare economics. Key themes include the analysis of non-convex economies, fixed-point theorems, and the integration of axiomatic frameworks with behavioral assumptions. Teaching: He teaches Advanced Microeconomics, Economics for Commerce, and Introduction to Strategic Thinking at UQ. His pedagogical focus includes mathematical rigor and practical applications of economic theory. Collaborations & Future Work: Collaborations with scholars like M. Ali Khan and Richard P. McLean highlight his engagement with complex theoretical frameworks. Ongoing projects include studies on large production economies, myersonian common knowledge, and computational methods in equilibrium analysis.