Michael A Osborne is Professor of Machine Learning at the University of Oxford and leads the Bayesian Exploration Lab . He serves as Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems and co-directs the Oxford Martin AI Governance Initiative. His research focuses on Bayesian optimization, Gaussian processes, and probabilistic numerics with applications in quantum devices, battery modeling, and AI governance. Key Positions: Professor of Machine Learning, University of Oxford Official Fellow, Exeter College Co-founder of Mind Foundry Lead Researcher, Oxford Martin Programme on Technology and Employment Research Themes: Probabilistic modeling for quantum systems Uncertainty quantification in energy storage AI safety and societal impact analysis Automated experimental design Quantum device calibration Probabilistic numerical methods Technical Contributions: Bridging reality gap in quantum devices Efficient Bayesian quadrature techniques Personalized neurostimulation algorithms Automated measurement protocols Quantum-classical hybrid ML
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Gilbert Fridgen is Full Professor in Digital Financial Services and holder of the PayPal-FNR PEARL Chair at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). He leads the FINATRAX research group focusing on blockchain, digital identity, and sustainable digital solutions. His research explores decentralized technologies in finance, energy systems, and public administration. Current projects investigate blockchain applications in industrial demand response, NFT markets, EU digital identity wallets, and DeFi institutional adoption. Prof. Fridgen examines the intersection of technology with regulatory frameworks and user behavior in energy and financial systems. He collaborates extensively with industry partners including PayPal and Spuerkeess. Prof. Fridgen actively contributes to EU digital policy discussions, particularly regarding the European Digital Identity Wallet framework and decentralized finance governance.
Patrizia Riganti is a Professor in Tourism at the University of Glasgow's School of Interdisciplinary Studies. She holds an MPhil in Urban Design, MSc in Urban Planning, and PhD in Economic Valuation Methods in Heritage Conservation. Affiliations include ICCROM (Fellow) and ICOMOS International Scientific Committees (Economics of Conservation, Energy & Sustainable Development). Her research focuses on heritage-led sustainable development, cultural tourism policies, and non-market valuation techniques. She has secured over €8.5M in research grants from RCUK, EU, and World Bank. Notable projects include the CAVEAT Project on cultural heritage valuation and the Scoping Culture and Heritage Capital Report for UK government. She chairs international conferences on Culture, Economics, and Cities with Prof David Throsby. Her work spans urban regeneration (e.g., Milan’s Navigli, Syracuse’s Ortigia), smart cities integration with heritage conservation, and post-pandemic blue economy recovery. Over 58 peer-reviewed articles and 28 invited speeches highlight her contributions to cultural heritage economics and sustainable development.
Professor Anne JENY is a Full Professor at IÉSEG School of Management, France, specializing in accounting and auditing. She holds a Ph.D. in Accounting from HEC Paris Business School (2003) and Master's degrees in Audit, Finance, and Economics from the University of Paris Dauphine (1995-1996). Her academic career includes professorships at IÉSEG (2021–present) and ESSEC Business School (2002–2020). Her research focuses on intangible assets valuation , fair value measurement , IFRS adoption dynamics , and transparency in financial reporting . She has published widely on topics such as non-audit services' impact on debt costs, innovation's interplay with accounting systems, and gender disparities in accounting professions. Her work integrates empirical analysis with policy implications, particularly in digital economy contexts and public-private partnerships. A member of the LEM (Laboratory of Economy and Management), she has authored books like Les 12 travaux de l'analyste financier (2021) and contributed to international journals such as Accounting in Europe and European Accounting Review . Her research bridges theoretical frameworks with practical insights into corporate governance and regulatory challenges.
- Accounting
- Auditing
- Financial Reporting
- +۵ مورد دیگر
Dr. Robert Huber serves as a Lecturer at the Department of Environmental Systems Science at ETH Zürich, specializing in Agricultural Economics and Policy. His research focuses on the integration of interdisciplinary knowledge to analyze and evaluate management and policy options that promote sustainable development in the agricultural sector. Institution: ETH Zürich Department: Agricultural Economics and Policy Research Focus: Sustainable Agriculture and Policy Methodologies: Bio-economic and agent-based modeling Dr. Huber's research explores how multifunctional agricultural sectors can provide essential non-market goods and services while maintaining their primary economic function of food production. His work applies bio-economic and agent-based modeling techniques to understand farmers' decision-making processes regarding ecosystem services provision, coupled with economic valuation techniques to analyze societal demand for these services. His research aims to identify effective and efficient policy measures that align supply and demand for ecosystem services at landscape scale. His recent publications demonstrate strong expertise in agricultural policy analysis, climate change mitigation strategies, sustainable farming practices, and innovative modeling approaches. His work spans topics from herbicide-free agriculture using remote sensing technologies to biodiversity enhancement in agricultural landscapes and the cost-effectiveness of different climate change mitigation policies at various scales. Remote sensing applications in sustainable agriculture Behavioral aspects of farmer decision-making Policy evaluation methodologies Climate change adaptation in farming systems Economic valuation of ecosystem services Digitalization impacts on agricultural policy Dr. Huber has published extensively in high-impact journals including Journal of Agricultural Economics, People and Nature, and Q Open. His collaborative research often involves interdisciplinary teams addressing complex agricultural sustainability challenges. His publications demonstrate a consistent focus on practical policy implications derived from rigorous empirical analysis.
Wei Xiong is the Hugh Leander and Mary Trumbull Adams Professor in Finance and Professor of Economics at Princeton University, affiliated with the Department of Economics and Bendheim Center for Finance. His research centers on behavioral finance and capital market imperfections with a focus on China's financial system and commodity markets. His educational background includes: Ph.D. in Finance from Duke University (2001) B.S. in Physics from University of Science and Technology of China (1993) Research Interests: Professor Xiong's work fundamentally explores behavioral finance and capital market imperfections , pioneering studies on speculative bubbles , heterogeneous beliefs in asset pricing , and financing frictions . His recent scholarship critically examines the financialization of commodity markets , belief distortions during financial crises , and the unique institutional dynamics of China's hybrid economy , where state and market forces interact. Publication Trends: Xiong's 48 publications in top-tier journals reveal an evolving trajectory from classical behavioral finance (2001-2013) toward contemporary China-focused systemic analysis (2017-2025). Recent works integrate cryptocurrency economics, real estate risk management, and policy design in emerging markets, demonstrating methodological rigor through structural modeling and empirical analysis of large-scale financial datasets. Scientific Awards: 2012 Smith Breeden Award (first prize) for the best non-corporate finance paper published in Journal of Finance 2013 NASDAQ OMX Award for the best asset pricing paper presented in Western Finance Association Meetings Professional Activities: As NBER research associate and former Management Science finance editor (2009-2011), Xiong bridges academia and policy. He co-founded VoxChina.org to foster China-world economic dialogue and co-edited The Handbook of China’s Financial System (Princeton University Press). His keynote addresses at major conferences—including the 2024 Chinese Economists Society meeting on “Information Discovery in a Hybrid Economy”—demonstrate sustained policy influence. Labs and Initiatives: Xiong leads Princeton's Bendheim Center for Finance research initiatives and directs VoxChina.org, which produces influential policy analyses on China's economy. His recent work includes the NBER-commissioned study on commodity market risks and ongoing projects examining big tech lending models and data privacy impacts on digital finance.
Konstantinos Drakos is a Professor at the Department of Accounting and Finance, Athens University of Economics and Business (AUEB). Previously, he served as Assistant Professor at AUEB (2009–2012), Assistant Professor at the University of Patras (2003–2008), and Lecturer at the University of Essex (2001–2002). He holds a PhD in Economics from the University of Essex, preceded by an MSc and undergraduate studies in Economics at the University of Athens. His research focuses on Applied Financial Economics and the Economics of Security, with recent work analyzing hedge fund leverage, geopolitical risk impacts, cryptocurrency markets, and green banking. Teaching responsibilities include Macroeconomic Theory, Finance for Banking, and Risk Management at both undergraduate and postgraduate levels. Drakos' publications span over two decades, addressing topics such as terrorism's economic effects, bank lending behavior, and investment under uncertainty. His recent articles (2022–2025) emphasize cryptocurrency dynamics, geopolitical risk interactions, and financial stability in green banking. Notable themes include market volatility, capital allocation under uncertainty, and policy responses to systemic risks. No scientific awards are listed in the provided materials. His research has explored structural shifts in financial risk, macroeconomic sentiment, and cross-market linkages following major global events like 9/11 and the 2008 crisis. Drakos has advised on policy-related topics related to financial markets and regulatory frameworks, though specific grants or lab affiliations are not detailed here.
Na Duمشاهده پروفایل
استادیار
Na Du is an Assistant Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. She holds a PhD in Industrial & Operations Engineering from the University of Michigan (2021) and a Graduate Certificate in Data Science. Her research focuses on human factors in smart cities, human-centered computing, and user experience design. She is affiliated with the Intelligent Systems Program, Pitt Cyber, and the Center for Governance and Markets. Education: PhD in Industrial & Operations Engineering (University of Michigan, 2021); Undergraduate in Psychology (Zhejiang University). Research emphasizes explainable AI, human-AI teaming, and smart technologies. Recent grants include funding from Honda Research Institute and Pitt Cyber Accelerator for projects on emotions in Human-AI interaction and Metaverse privacy awareness. Her work has been recognized with awards like the HFES Best Paper Award and the IOE Outstanding Student Award. Advising includes PhD students and researchers in human factors and UX design. The HAT Lab under her leadership explores interdisciplinary challenges in human-computer interaction and smart systems.
Livia Pancottoمشاهده پروفایل
مدرس ارشد
Dr. Livia Pancotto is a Senior Lecturer in Banking at the Department of Accounting and Finance, University of Strathclyde. She serves as Director of the MSc in International Banking and Finance and Deputy Director of the Responsible Business Institute (ReBI). She holds a PhD and MSc from Bangor University and degrees from Sapienza University of Rome. Her research focuses on European banking regulation, financial stability, and gender diversity's impact on climate finance. She chairs the International Accounting & Finance Doctoral Symposium and edits The European Journal of Finance. Awards include the 2014 Best Banking and Finance Master’s dissertation. She leads research on negative interest rates, non-performing loans, and green lending through EU-funded projects. Education: PhD Banking & Finance (Bangor), MSc (Sapienza), BSc (Sapienza) Research explores empirical banking dynamics, regulatory frameworks, and sustainable finance. Key topics include EU banking union evolution, climate change mitigation via gender-diverse bank boards, and market reactions to policy shocks. Recent work analyzes negative interest rate impacts on bank efficiency and Italy's NPL crisis. She has secured £153k in research funding (2023-2025). Grants: Research Excellence Awards (Strathclyde SRSS) Led workshops on Responsible Business and AI, presented at FSB Financial Innovation Network, and peer-reviewed for top journals. Supervises doctoral candidates through IAFDS. Active in editorial and advisory roles enhancing academic rigor in finance disciplines.
Prof. Mark Heitmann is a Professor of Marketing & Customer Insight at the University of Hamburg Business School. He holds a visiting appointment at Nova School of Business and Economics. His research focuses on AI-driven marketing strategies, social media analytics, brand equity, and consumer decision-making. He has held academic roles at institutions including the University of St. Gallen and Christian-Albrechts-University in Kiel before joining Hamburg in 2011. Academic Career: Holds a PhD (2004) and post-doctoral Habilitation (2007) from the University of St. Gallen. Visiting researcher at Columbia University and the Max Planck Institute for Human Development. Research Interests: Applications of artificial intelligence in marketing Social media and digital transformation Ethical consumer behavior Brand self-expression and visual design Marketing technology (MarTech) innovations Key Achievements: Over 20 peer-reviewed publications in top journals like Journal of Marketing Research and Harvard Business Review . Award-winning research includes the MSI/H. Paul Root Award and IJRM-EMAC Best Article Award. Active in translating research into scalable commercial solutions through software-as-a-service ventures. Team & Collaborations: Leads a research team including M.Sc. candidates Sammar Rath, Julia Rosada, Maximilian Witte, Tijmen Jansen, Claus Hegmann-Napp, and Magdalena Heynicke. Engages in interdisciplinary projects with industry partners.
Catherine Anne Brown is a Professor at the Faculty of Law, University of Calgary with extensive international experience, having held visiting professorships at Stanford University (as a Fulbright Fellow), University of Toronto, UCLA, McGeorge School of Law, and Whittier Law School. Her expertise spans taxation, international trade law, and estate planning across multiple jurisdictions. Her research focuses on the critical intersection of tax and trade agreements, particularly how non-discrimination principles operate within services trade frameworks. Current work examines tax treaty mechanisms for addressing discriminatory practices in cross-border commerce, building on her 2017 monograph "Tax Discrimination and Trade in Services". She actively explores evolving regulatory challenges in digital services taxation and international compliance. Professor Brown's scholarship demonstrates consistent engagement with practical legal applications, bridging academic theory and professional practice through textbooks, treatises, and policy-oriented analyses. Her publications reveal progressive specialization in tax-trade interfaces while maintaining foundational contributions to estate planning education. Her distinguished career has been recognized through: Lifetime Achievement Award (Canadian Tax Foundation, 2017) Doug Sherbaniuk Award for Distinguished Writing (Canadian Tax Foundation, 2014) Award for Distinguished Service in Legal Scholarship (Law Society of Alberta/Canadian Bar Association, 2011) Widdifield Award for estate planning scholarship (2006, 2012) Induction into the International Academy of Estate and Trust Law (2012) As an educator, she directed the Business Clinical program until 2014, providing practical training in business law applications. She maintains active professional engagement through appointments to the NAFTA Chapter 19 roster (2018), STEP Canada's Public Policy Committee (2016), and the Canada Revenue Agency's Offshore Compliance Advisory Committee (2016), while serving on the Legal Education Society of Alberta's Board of Directors.
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.
W. Brent Lindquist is a Professor in the Department of Mathematics and Statistics at Texas Tech University, affiliated with the TTU Mathematical Finance Program. His contact details include office location in the Mathematics & Statistics building (Room 104), phone (+1 806 834 2348), and email brent.lindquist@ttu.edu. His research spans computational financial mathematics, porous media flow, neuroscience applications, and quantum electrodynamics. Key contributions include dynamic asset pricing with market microstructure integration, pore-scale flow modeling using 3D micro-tomography, automated neuron morphology identification, and QED computations for electron magnetic moments. Recent work emphasizes ESG factor incorporation into financial models. Analysis of 2023–2025 publications reveals a dominant focus on sustainable finance, particularly ESG-integrated option pricing and portfolio optimization. Methodologies include random forests for market microstructure analysis, skew random walks for volatility modeling, and Lévy processes for Bitcoin dynamics. Cross-cutting themes involve hedonic real estate models with ESG factors and unified asset pricing frameworks bridging classical finance theories.
Hanna Halaburda is an Associate Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where she joined in 2019. Her research lies at the intersection of economics, technology, and digital platforms, with a strong focus on blockchain, cryptocurrencies, and platform competition. She has published extensively in top academic journals and co-authored the seminal book Beyond Bitcoin: The Economics of Digital Currencies . PhD in Economics, Northwestern University MA in Economics, Warsaw School of Economics MA in Philosophy, Warsaw University Her research interests center on the economic implications of digital transformation. She investigates how blockchain technology reshapes trust, governance, and competition in digital markets. Her work explores token design, consensus mechanisms, smart contracts, and the strategic use of decentralization in platforms. She also studies platform competition under network effects, consumer choice, and omnichannel marketing. A recurring theme is how digital technologies alter traditional economic forces and business models. The most recent articles show a strong trend toward analyzing the governance, security, and economic design of blockchain systems. Her work combines rigorous theoretical modeling with empirical insights, often applying game theory and industrial organization frameworks. Topics include permissioned vs. permissionless blockchains, the role of cryptographic tokens in coordination, and the macroeconomic implications of digital currencies. She also contributes to debates on Web3, AI, and the future of digital platforms. Scientific awards and recognitions include: ISR Best Paper Published in 2022 Runner-Up Lead article in RAND Journal of Economics Best Paper Award at Tokenomics 2023 Best Paper Award at WISE 2023 Best Paper Finalist at WISE 2022 and WISE 2021 Hanna Halaburda has advised and collaborated with numerous researchers and institutions. Her co-authors include leading scholars from Harvard, NYU, and international universities. She has received research recognition through best paper awards and invitations to contribute to high-impact journals and policy discussions. Her work has been supported by academic and policy institutions, including the Bank of Canada, where she previously served as a senior economist. She frequently publishes in both academic and practitioner outlets, including Harvard Business Review and Nature Human Behavior , indicating strong translational impact. She is actively involved in research teams focused on digital assets, blockchain governance, and platform economics. While no formal lab is mentioned, her extensive list of working papers and collaborations suggests leadership in a dynamic research group at NYU Stern. Her recent work on DAOs, public crypto mining firms, and CBDCs indicates ongoing, forward-looking research programs with real-world policy and business implications.
- Blockchain
- Cryptocurrencies
- Digital Currencies
- +۱۲ مورد دیگر
Mohammad Mohammadi Amiri serves as an Assistant Professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI), appointed in Fall 2023. His research focuses on advancing artificial intelligence through strategic data utilization, with emphasis on large language models, data valuation, federated learning, and deep learning. Previously, he held postdoctoral appointments at Princeton University and MIT Media Lab, building on his strong educational foundation from Imperial College London, University of Tehran, and Iran University of Science and Technology. Education: Ph.D. in Electrical and Electronic Engineering, Imperial College London (2019) - Best Ph.D. Thesis Award recipient M.Sc. in Electrical and Computer Engineering, University of Tehran (2014) - Ranked 1st among all M.Sc. students B.Sc. in Electrical Engineering, Iran University of Science and Technology (2011) - Ranked 1st among all B.Sc. students Dr. Amiri's research centers on optimizing artificial intelligence systems through innovative data strategies. His work addresses critical challenges in large language models including efficiency, memory usage, alignment, and reasoning capabilities. In data valuation, he develops principled methods to quantify data worth for fair trading platforms. His federated learning research tackles privacy concerns, heterogeneous data distribution, and communication overhead in decentralized environments. The deep learning component explores theoretical foundations to improve model interpretability and robustness. Analysis of his recent publications reveals a strong focus on making AI systems more efficient and accessible, with particular emphasis on large language model optimization, federated learning advancements, and data valuation frameworks. His work bridges theoretical foundations with practical applications in wireless communications and distributed computing environments. Scientific Awards: IEEE Communications Society Young Author Best Paper Award (2022) Best PhD Thesis Award from IEEE Information Theory Chapter of UK and Ireland (2019) Eryl Cadwallader Davies Prize for Outstanding PhD Thesis (2019) EEE Departmental Scholarship at Imperial College London (2015-2019) Ranked 1st among M.Sc. students at University of Tehran (2014) Ranked 1st among B.Sc. students at Iran University of Science and Technology (2011) Dr. Amiri actively mentors graduate students, currently supervising five Ph.D. candidates and one M.Sc. student working on efficient LLM fine-tuning, inference, and storage. His research has attracted significant attention, evidenced by numerous keynote invitations at prestigious institutions including Bell Labs, MIT, King's College London, and various IEEE conferences. He serves on program committees for major conferences including IEEE Globecom and ICC, demonstrating his growing influence in the academic community. His research group operates at the intersection of machine learning and wireless communications, developing innovative solutions for resource-constrained environments while addressing fundamental theoretical challenges in AI systems. Current projects focus on making advanced AI more scalable and accessible through efficiency improvements in model training and inference.
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