Dr. hab. Piotr Łukomski is an Associate Professor at the Department of Political Theory, Institute of Political Science, University of Wrocław. His academic career focuses on the intersection of political theory, philosophy, and cultural analysis, with notable contributions to Hannah Arendt's philosophy, game theory applications in politics, and the role of imagination in political thought. Department: Political Theory Email: piotr.lukomski@uwr.edu.pl ORCID: 0000-0002-5307-616X Research Interests: His work spans conceptual metaphors in political theory, decision-making under hazardous conditions, cultural evolution of tyranny, and the aestheticization of politics. He examines how digital technologies (like VR) reshape political identity and how Arendtian frameworks apply to modern governance. Teaching: Coordinates social consulting labs and teaches decision-making processes in political contexts, with a focus on practical applications in hazardous conditions. Publications: Recent articles analyze VR-era political identity, Hannah Arendt's relevance to modern democracy, and the integration of problem-solving strategies in political thought.
Chang-Tai Hsieh is the Phyllis and Irwin Winkelried Distinguished Service Professor of Economics at the University of Chicago Booth School of Business. He is also a PCL Faculty Scholar with the university. His academic appointments include being a Research Associate for the National Bureau of Economic Research, a Senior Fellow at the Bureau for Research in Economic Analysis of Development, and a member of the Steering Group of the International Growth Center in London. His research interests focus on economic development, growth in Asia and Latin America, and applied economics, with particular expertise in macroeconomics. He has conducted extensive research on growth and development patterns across different regions, with special attention to China's economic transformation. His work examines resource allocation, innovation dynamics, trade policy impacts, and structural economic changes. Hsieh's recent publications reveal a strong focus on US-China economic relations, Chinese economic development, and the dynamics of innovation and growth. His research spans multiple subfields including trade policy, resource allocation, economic measurement, and the political economy of development. He has made significant contributions to understanding the economic transformation in East Asia, particularly regarding China's growth model and its implications for global trade. Alfred P. Sloan Foundation Research Fellowship Elected Member of Academia Sinica Two-time recipient of the Sun Ye-Fang Prize Fellow of the American Academy of Arts and Sciences Fellow of the Econometric Society Hsieh has been a visiting scholar at multiple Federal Reserve Banks (San Francisco, New York, and Minneapolis), the World Bank's Development Economics Group, and the Economic Planning Agency in Japan. He is also an active commentator on economic policy, with numerous opinion pieces published in Commonwealth Magazine, Project Syndicate, and other major outlets, particularly focusing on US-Taiwan-China economic relations and trade policy.
Philippe Aghion is a Professor at the College de France holding the chair in Economics of Institutions, Innovation and Growth, and a Professor at INSEAD. He also serves as a visiting professor at the London School of Economics. His academic work has established him as a leading figure in growth economics, particularly through his development of the Schumpeterian Growth paradigm. Professor Aghion's research focuses on the economics of growth, innovation, productivity, and income mobility. He has pioneered the Schumpeterian Growth theory with Peter Howitt, which examines economic growth through the lens of "creative destruction" - where innovation drives progress by replacing outdated technologies and business models. His work analyzes the design of growth policies, the role of competition and industrial policy, the relationship between innovation and inequality, and solutions to the "secular stagnation" observed in developed economies. A recurring theme in his research is understanding how institutions shape innovation and growth dynamics. The analysis of his recent publications reveals a strong focus on innovation economics, environmental sustainability, and the relationship between technological change and economic outcomes. His work spans theoretical developments in growth models and empirical investigations using firm-level data, particularly from France. Key trends include examining how market competition affects innovation, the dynamics of green technology adoption, the impact of globalization on firm behavior, and the relationship between automation and labor markets. His research consistently connects theoretical frameworks with empirical evidence to inform policy design. Professor Aghion has received numerous prestigious awards for his contributions to economics: 2001: Yrjo Jahnsson Award (best European economist under age 45) 2009: John Von Neumann Award March 2020: BBVA "Frontier of Knowledge Award" (shared with Peter Howitt) Fellow of the Econometric Society Fellow of the American Academy of Arts and Sciences As the holder of the Economics of Institutions, Innovation and Growth chair at the College de France (established in 2015), Professor Aghion leads a research team comprising more than twenty researchers. His chair focuses on cutting-edge research examining the economics of innovation, environmental sustainability, productivity dynamics, and household income mobility. His influential books, including "Endogenous Growth Theory" (1998), "The Economics of Growth" (2009), "Competition and Growth" (2006), and "The Power of Creative Destruction" (2021), have shaped the field of growth economics and provided frameworks for understanding modern economic challenges.
Cezary Kaliszyk is a Professor in Theoretical Computer Science at the University of Melbourne, previously affiliated with the University of Innsbruck. He is actively involved in research and leadership in formal methods, automated reasoning, and machine learning for theorem proving. Research Interests: Automated Reasoning and Interactive Theorem Proving Formalized Mathematics and Proof Automation Machine Learning for Logic and Theorem Proving Integration of AI with Proof Assistants (Coq, Isabelle) Dependent Type Theory and Higher-Order Logic His recent publications (2023–2025) span topics in dependently-typed logic, learning for proof guidance, formalization of surreal numbers, and blockchain-based formal methods. The works consistently bridge formal logic with machine learning, emphasizing automation, explainability, and cross-system integration. Scientific Leadership and Projects: Principal Investigator, ERC project FormalWeb3 Lead Developer, CoqHammer , Tactician , ProofWeb WG5 Leader, COST Action EuroProofNet (until 2024) Contributor to HOL(y)Hammer , Isabelle Enigma He supervises multiple PhD students and has mentored several graduates in formal methods and AI. He teaches courses in theoretical computer science, logic, and machine learning. There are no listed awards in the provided data, but his extensive publication record and project leadership indicate significant recognition in the field. Labs and Research Groups: He leads a research group focused on formal methods and learning-based reasoning, collaborating internationally on projects involving proof automation, formal libraries, and semantic technologies.
Prof. Dr. Mareike Kühne is a full-time Professor of Business Administration at the Department of Business and Management, Brandenburg University of Technology. With a unique interdisciplinary background spanning economics, business administration, philosophy, and neuroscience, she bridges affective dimensions with economic rationality to develop holistic decision-making frameworks. Doctorate in Economics, Otto von Guericke University Magdeburg (1992-1997) Fulbright Scholar, San Diego State University (1997-1998) Studies in Philosophy, Humboldt University (2007-2011) Doctoral and Master’s in Neuroscience, Berlin School of Mind and Brain (2011-2013) Her research integrates insights from psychology and neuroscience into capital market-oriented corporate reporting, corporate governance, and normative rationality frameworks. She critiques current economic models for neglecting the embodied nature of cognition, advocating for a more nuanced understanding of rationality that incorporates lived experience. Her 15 most recent works span sustainability reporting (2025), neuroeconomics (2021), M&A disputes (2017), and IFRS standard evolution (2005-2012). These publications highlight her focus on reconciling traditional accounting principles with interdisciplinary approaches to decision-making. Fulbright Scholar (1997-1998) Prof. Kühne has taught at Humboldt University, HHL Leipzig, and the Berlin School of Mind and Brain. She actively participates in professional organizations including the German Society for Philosophy, European Accounting Association, and European Financial Reporting Advisory Group. Her work emphasizes the practical impact of neuroscientific findings on economic policy and standard-setting.
Lu Zhang is The John W. Galbreath Chair in Finance and Professor of Finance at Fisher College of Business, The Ohio State University. He also serves as a Research Associate at the National Bureau of Economic Research (Asset Pricing program) and as Associate Editor for the Journal of Financial Economics and Journal of Financial and Quantitative Analysis. Previously, he taught at the University of Michigan and University of Rochester. Research Focus: Dr. Zhang specializes in asset pricing, integrating macroeconomics, corporate finance, labor economics, and capital markets research in accounting. His groundbreaking contributions include the investment CAPM and the q-factor model, which address asset pricing anomalies and serve as foundational tools in academic and investment management sectors. Recent Publications: His recent work spans topics such as firm-level irreversibility, endogenous disasters in economic modeling, and the integration of expected growth into the q-factor model. These studies reflect his focus on bridging macroeconomic dynamics with financial markets. Scientific Awards: Smith-Breeden Award for Best Paper (2005) Spängler IQAM Best Paper Prize (2019) Editor’s Choice, Lead Article (2015) Teaching: Dr. Zhang teaches courses ranging from undergraduate to PhD levels, including Investment Management, Derivative Securities, and Advanced Asset Pricing. In 2015, he received the Outstanding Working Professional MBA Elective Faculty Award at Ohio State.
Matthew Dunbabin is a Professor at Queensland University of Technology (QUT) and Chief Investigator at the Australian Centre for Robotic Vision (ACRV). His expertise spans environmental robotics, with a focus on vision-based autonomous systems for marine conservation, water quality monitoring, and greenhouse gas management. He holds a PhD from QUT and a BEng (Aerospace) from RMIT. Dunbabin has led projects at CSIRO and QUT, developing robots like COTSBot and RangerBot to combat marine pests and promote reef restoration. His work has earned national and international awards, including the 2019 Australian Water Association Award and 2016 Google Impact Challenge. Education: PhD in Engineering, Queensland University of Technology (Queensland, Australia) BEng (Hons) in Aerospace Engineering, Royal Melbourne Institute of Technology (Melbourne, Australia) Research Interests: Environmental robotics and autonomous systems Vision-based perception and classification Marine habitat restoration and pest control Greenhouse gas monitoring via autonomous vehicles Cooperative robotics and sensor networks Awards & Recognition: 2019 Australian Water Association Award (SAMMI Project) 2019 Good Design Award - Sustainability (RangerBot) 2016 Google Impact Challenge People’s Choice Award (RangerBot AUV) 2010 Australian ICT Industry Association National iAward (iSnet) 2006 Queensland Engineering Excellence Innovation Award (Starbug Project) Grants & Projects: ARC Centre of Excellence for Robotic Vision (ACRV): Leading robotic vision research (2014–present) Revolutionising Protection Against Air Pollution: Air quality monitoring networks (2015–present) Establishing Advanced Networks for Air Quality Sensing: Sensor development for urban environments (2017–present) Labs & Collaborations: ACRV at QUT Institute for Future Environments (QUT) CSIRO Autonomous Systems Laboratory (2001–2013)
Bilal Farooq is an Associate Professor and Program Director for the Master of Engineering in Interdisciplinary Engineering (MEIE) at Toronto Metropolitan University, holding the Canada Research Chair in Disruptive Transportation Technologies and Services within the Department of Civil Engineering. His educational background includes a PhD from the University of Toronto (2011), MASc from Lahore University of Management Sciences (2004), and BSc from the University of Engineering and Technology (2001). Dr. Farooq's research pioneers disruptive transportation solutions through cyber-physical systems, AI/machine learning applications, behavioral modeling, and optimization techniques. His work specifically targets on-demand multimodal systems, sustainable urban transportation, urban air mobility, automated vehicles, and extended reality applications, addressing critical urban mobility challenges with human-centered approaches. Analysis of his recent publications reveals a strong trend toward quantum-enhanced computational methods, privacy-preserving federated learning frameworks, and sustainability-focused decarbonization strategies across transportation domains, with increasing emphasis on human factors and real-world implementation. Notable scientific awards include: Ontario Early Researcher Award (2018) Canada Research Chair (2017) MassMotion Academic Pedestrian Modelling Project of the Year (2016) Québec Early Researcher Award (2014) Dr. Farooq actively supervises graduate students and secures significant research funding through his Canada Research Chair position and Early Researcher Awards. He directs the Laboratory of Innovations in Transportation (LiTrans), which develops interdisciplinary solutions integrating mathematics, engineering, computer science, and economics to address emerging transportation challenges. LiTrans focuses on disruptive transportation technologies, complete streets design, cyber-physical systems, pedestrian dynamics, resilience, and climate change impacts, collaborating with industry and government partners to translate research into practical urban mobility innovations for smart cities worldwide.
Rainer Watermann is a Full Professor for Empirical Research in Education at the Free University of Berlin since 2011, previously serving as Full Professor for Education and Empirical Research in Schools at Georg-August University of Göttingen (2005-2011). His academic career includes significant research positions at the Max Planck Institute for Human Development in Berlin (1997-2005). Watermann earned his Diploma in Educational Science from the University of Münster (1996), followed by a Dr. phil (2002) and Habilitation (2005), both from Freie Universität Berlin. His educational background established the foundation for his extensive research in educational transitions and disparities. His research focuses on educational transitions, particularly from primary to secondary school and into higher education, examining motivational factors, social background influences, and achievement goal development. Watermann's work consistently addresses how social disparities affect educational opportunities and outcomes, with particular attention to gender differences and longitudinal developmental patterns. His methodological expertise includes latent class analysis, structural equation modeling, and large-scale assessment design. Watermann's publication portfolio reveals consistent research trajectories examining motivational frameworks (particularly expectancy-value theory), educational transitions, social disparities in education, and political socialization. His work spans both theoretical development and practical applications for educational policy and practice, with increasing focus on intervention effectiveness in recent years. As an active member of the academic community, Watermann serves on multiple editorial boards including the Swiss Journal for Educational Sciences and Empirical Educational Science , and regularly reviews for major educational and psychological journals. He has also contributed to significant research centers, including serving as spokesman for the Center for Empirical Research on Teaching and Learning in Schools (ZeUS) at the University of Göttingen (2008-2010). Watermann maintains an active research program with numerous collaborations across Germany and internationally, evidenced by his consistent publication record through 2025. His work bridges educational psychology, sociology of education, and policy-relevant research, maintaining strong connections between theoretical frameworks and practical educational contexts.
Nathaniel D. Daw serves as the Huo Professor in Computational and Theoretical Neuroscience and Professor of Neuroscience and Psychology at Princeton University, based at the Princeton Neuroscience Institute. His research integrates computational modeling with experimental neuroscience to investigate fundamental mechanisms of learning and decision-making. Daw's research focuses on computational and theoretical neuroscience, specializing in reinforcement learning, memory systems, and decision-making processes. He examines how neural circuits represent value, update beliefs through experience, and balance model-based versus model-free control strategies. His work frequently bridges theoretical frameworks with behavioral and neural data to explain phenomena ranging from habitual behavior to flexible cognitive control. Analysis of his 2025 publications reveals dominant themes in neural replay mechanisms, individual differences in learning trajectories, and clinical applications to eating disorders. His work increasingly incorporates large language models for psychological assessment while maintaining core focus on interpretable cognitive architectures and hierarchical planning. Daw maintains active research operations through the Princeton Neuroscience Institute, an interdisciplinary hub fostering collaboration between computational modelers, neuroscientists, and psychologists to advance understanding of neural mechanisms underlying cognition.
Francisco Barillas Bedoya is an Associate Professor at the School of Banking and Finance within the UNSW Business School, University of New South Wales. His research focuses on theoretical and empirical asset pricing, particularly portfolio choice, asset pricing tests, macrofinance, and term structure of interest rates. He has published extensively in top-tier journals like the Journal of Finance and Management Science. PhD from New York University MA from University of British Columbia BSc from Trent University His recent publications analyze Sharpe ratios for model comparison, speculative behavior in bond markets, and risk premia in fixed income markets. While no formal awards are listed, his work intersects financial economics, econometrics, and computational methods. Office: Level 3, Room 333C, Ref E12 Email: f.barillas@unsw.edu.au
Juan Camilo Gómez is an Associate Professor with tenure at the University of Washington Bothell's School of Business, specializing in game theory, bargaining, and microeconomic theory. He earned his Ph.D. in Economics from the University of Minnesota and his B.Sc. in Mathematics from Universidad de los Andes in Colombia. Education: Ph.D. Economics (1998–2003), University of Minnesota, Minneapolis, MN B.Sc. Mathematics (1990–1996), Universidad de los Andes, Bogotá, Colombia Research Interests: His research focuses on foundational and applied aspects of game theory, including bargaining models, coalition formation, cooperative solution concepts, and general equilibrium. He explores how efficiency can be achieved in strategic interactions, especially when agents may behave manipulatively or when traditional balance conditions do not hold. His work contributes to understanding how coalitions form and how outcomes can be predicted or designed to ensure equitable and efficient allocations. He also investigates the implications of reference points in bargaining and the role of aspirations in shaping cooperative behavior. Publications Overview: Across his publications, a clear trajectory emerges from foundational theoretical work—such as axiomatizing core extensions in cooperative games—to applied models that predict coalition formation and bargaining outcomes. His research consistently bridges rigorous mathematical frameworks with practical economic questions, including market interpretations of cooperative solutions and strategic pricing models like 'Pay What You Want'. Awards and Honors: 2010 MBA Professor of the Year, University of Washington Bothell Teaching and Advising: Gómez has taught a wide range of courses from undergraduate calculus and mathematical economics to graduate-level game theory and quantitative methods for business. He has held teaching roles at institutions including Macalester College, University of Copenhagen, Universidad de los Andes, and University of Minnesota. He has also co-directed undergraduate theses, such as that of Santiago Saavedra, and served on numerous academic committees including MBA Admissions and faculty hiring. Labs and Teams: While no specific lab is mentioned, his collaborative working papers with researchers like Camelia Bejan and P.V. Balakrishnan suggest active participation in research networks focused on game theory and economic modeling.
Dong Lou is a Professor of Finance at the Hong Kong University of Science and Technology (HKUST), where he serves as Associate Dean of Business and Management (Strategic Planning and Research) and Acting Head and Chair Professor of the Department of Finance. He is also a CEPR Research Fellow at the London School of Economics (LSE). His research focuses on asset pricing, investment management, and behavioral finance, with a particular emphasis on market inefficiencies, trading dynamics, and macrofinancial linkages. PhD in Finance, Yale University, 2009 His scholarly work explores liquidity provision, arbitrage activity, investor behavior, and the impact of information dissemination on financial markets. Recent studies include the effects of dollar asset holdings on global yields, retail margin trading dynamics, and the relationship between communication rates and security prices. His publications appear in top journals like Management Science , Journal of Financial Economics , and Review of Financial Studies . His research has been recognized with numerous awards, including the Crowell Memorial Award, NASDAQ OMX Award, and multiple INQUIRE and CRSP Forum grants. He mentors PhD students in finance and co-directs the HKUST-DXM AI for Finance Joint Laboratory, advancing AI applications in financial research and practice.
Alberto Salvo is an Associate Professor at the National University of Singapore (NUS), holding a PhD from the London School of Economics. His research spans environmental economics, industrial organisation, and applied microeconomics, with a focus on urban pollution, consumer behavior, and climate action. Environmental Economics & Policy (Undergraduate) Economics of the Environment (PhD) Advanced Industrial Organisation (PhD) His work examines air pollution impacts on health and productivity, fuel switching dynamics in megacities, and behavioral responses to environmental stress. Recent publications analyze particulate pollution in China, temperature effects in tropical cities, and plastic waste patterns linked to food delivery. Notable awards include the JAERE Best Paper Award (2020), Robert Mundell Prize (2010), and Antitrust Policy Award (2007). His collaborations span institutions in Brazil, China, and Singapore.
Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.
