Dr. Tai Tan Mai is an Assistant Professor at Dublin City University's School of Computing. He holds a PhD from DCU funded by the Irish Research Council and an MSc in Business Information Systems from University College Cork (2016) where he graduated as top-performing student. His research integrates data mining, learning analytics, and complex systems theory with applications in educational technology and business process management. Research interests focus on: Educational data mining and learning analytics Cryptocurrency market analysis using graph-based methods AI applications in education and societal risk assessment Complex systems approaches to programming education Prior to academia, he developed Business Process Management solutions for Vietnam's banking/financial sector.
Sergey Nadtochiy serves as Professor of Applied Mathematics within the College of Computing at Illinois Institute of Technology. His research bridges theoretical mathematics with financial applications through rigorous probabilistic and analytical frameworks. His academic foundation includes: Ph.D. in Operations Research & Financial Engineering from Princeton University (2009), advised by R. Carmona M.A. in Operations Research & Financial Engineering from Princeton University (2008), advised by R. Carmona Specialist (M.Sc.) in Mathematics, summa cum laude, from Moscow State University (2005), advised by A. Shiryaev Nadtochiy's research program centers on Financial Mathematics, Probability Theory, and Partial Differential Equations with applications to market microstructure, optimal contract design, and systemic risk. His work demonstrates deep integration of Stochastic Control and Game Theory to model complex financial phenomena like price impact and limit order book dynamics, while recent publications extend into mathematical physics through Stefan problem analysis. Analysis of his 15 most recent publications reveals a strategic evolution from pure financial mathematics toward interdisciplinary connections with mathematical physics. The 2022-2024 works show increasing focus on the Stefan problem and diffusion-limited aggregation, while maintaining core expertise in market microstructure through studies on price impact concavity, brokerage contracts, and liquidity effects. His scientific recognition includes: Award for excellence (honorific fellowship) from Moscow State University (2001-2005) SIAG/FME Junior Scientist Prize from SIAM (2012) Charlotte Elizabeth Procter Honorific Fellowship from Princeton University (2008-2009) Gordon Y.S. Wu Honorific Fellowship from Princeton University (2005-2009) Nadtochiy has secured significant research funding as sole Principal Investigator on two NSF awards: a CAREER grant (DMS-1855309, 2017-2022) and earlier grant DMS-1411824 (2014-2017). While no formal student advisees are listed in the source materials, his collaborative publications with researchers like M. Shkolnikov and S. Shreve demonstrate active mentorship within research teams focused on probabilistic methods and financial modeling.
James Dana is a Professor of Economics and Strategy at Northeastern University, holding a joint appointment in the Department of Economics (College of Social Sciences and Humanities) and the D’Amore-McKim School of Business. He specializes in industrial organization, competitive strategy, and operations management, with a focus on pricing under uncertainty, revenue management, and market structure impacts. Dana earned a PhD in Economics from MIT and a BA from Yale University. His career includes prior roles as an Associate Professor at Northwestern University’s Kellogg School of Management and an Assistant Professor at Dartmouth College. He has conducted research on bundling strategies, airline industry dynamics, and pricing mechanisms, addressing topics like demand uncertainty and price discrimination. His work bridges theoretical economic models with practical business applications, particularly in revenue optimization and competitive strategy. Education: PhD (Economics, MIT), BA (Economics, Yale University). Research Interests: Industrial organization, pricing strategies under uncertainty, product bundling, revenue management, market structure effects, and strategic differentiation. His studies often explore how firms leverage pricing mechanisms to navigate demand volatility and competitive pressures. Professional Experience: Prior to Northeastern, he held tenure at Kellogg School of Management and Dartmouth College. He spent a sabbatical at Yale University’s School of Management in 2022-23. Contact: j.dana@northeastern.edu | 617-373-7517 | Office: 306 Lake Hall, 43 Leon Street, Boston.
Dr Christos Papanagnou is a Senior Lecturer in Logistics Engineering at Aston University's School of Infrastructure and Sustainable Engineering, part of the College of Engineering and Physical Sciences. He serves as Programme Director for MSc programs in Supply Chain Management and Engineering Management, and leads research and enterprise initiatives for the Engineering Systems and Supply Chain Management Group. A Fellow of the Higher Education Academy, he holds a PhD in Control Engineering from City University of London. His expertise spans logistics modeling, control theory, and supply chain dynamics, with a focus on Industry 4.0 and IoT integration. Dr Papanagnou has held adjunct roles at several Greek institutions and contributed to R&D in steel manufacturing. He has secured funding from Horizon 2020, ERDF, Innovate UK, and Santander Universities, and evaluates projects for the Regional Digital Health Accelerator and Horizon 2020's Marie Sklodowska-Curie Actions. His research addresses supply chain volatility, inventory control, and disruption mitigation through control theory and big data analytics. Education: MSc (Information Engineering), PhD (Control Engineering), both from City University London. Awards: Dean's Recognition Award (2015) Vice-Chancellor's Distinguished Teaching Award (2017) CILT(UK) LRN Conference 2022 Best Paper Award His work emphasizes sustainable procurement practices, digital twin technologies, and the application of operational research to enhance supply chain resilience. He collaborates with the European Commission on environmental management and advises the International Journal of Strategic Engineering.
Ariful Hoque is a Senior Lecturer in Finance at Murdoch University's College of Business. He holds a Doctor of Philosophy in Financial Engineering from Curtin University, a Bachelor of Civil Engineering from Bangladesh University of Engineering and Technology, and a Certified Oracle Database Administrator qualification from Oracle. His research focuses on finance, corporate governance, banking operations, FinTech, and sustainability, with a particular emphasis on green innovation, financial literacy, and market volatility analysis. Dr. Hoque's educational background includes civil engineering and financial engineering, reflecting his interdisciplinary approach to financial research. His work spans empirical studies on currency options pricing, Islamic finance resilience, and the impact of digital transformation on banks. His research interests include evaluating the role of institutional quality in green innovation, analyzing market efficiency in global financial contexts (e.g., S&P 500, Shanghai ETFs), and exploring FinTech's implications for sustainable development. He has also investigated how corporate governance structures influence banking practices, particularly in emerging economies like Vietnam and Bangladesh. His publications highlight trends in volatility analysis (e.g., implied volatility smirk prediction during crises), the interplay between financial literacy and microfinance access, and the application of big data in optimizing banking processes. His work often integrates quantitative methods with real-world policy and regulatory challenges. Dr. Hoque has not been explicitly mentioned as having received scientific awards, though his extensive publication record reflects scholarly contributions. His supervision record is not detailed here, but his research collaborations likely involve postgraduate students in finance and related fields. He has engaged in projects analyzing municipal financial conditions in Bangladesh and corporate governance in Australian firms. His affiliations include Murdoch University, where he contributes to teaching and research in finance, alongside his academic roles. His work bridges theoretical finance with practical applications in sustainability, technology, and global market dynamics.
Professor S. Ghon Rhee is the K.J. Luke Distinguished Professor of International Banking and Finance at the Shidler College of Business, University of Hawaii. He serves as Founding Editor of the Pacific-Basin Finance Journal and Executive Director of the Asia-Pacific Financial Markets Research Center . His research focuses on corporate finance, market microstructure, and Asian financial markets. Academic Appointments : University of Hawaii (Shidler College of Business), National Taiwan University, Massey University Leadership Roles : Founding Editor, Pacific-Basin Finance Journal; Founding Chair, Asian Shadow Financial Regulatory Committee Research Interests encompass corporate finance, market microstructure, empirical asset pricing models, and cross-cultural financial behaviors in Asian markets. His work explores IPO pricing, institutional investors, and regulatory frameworks. Publications Trends highlight comparative analyses of SPACs, behavioral finance in IPO markets, cultural impacts on asset growth, and market structure dynamics across Japan, Australia, and Southeast Asia. Scientific Recognition includes: 2020 Lifetime Achievement Award (CIRF) 2019 Robert Hansen Corporate Finance Paper Award 2017 Asian Finance Association Best Paper Award 2013 Korean American Finance Association Eminent Scholar Award 2001 Archimedes Award (University of Catania & Erasmus University) Academic Contributions extend to founding the Asian Shadow Financial Regulatory Committee (2004) and organizing 40+ international policy meetings addressing financial integration, regulatory cooperation, and macroeconomic challenges.
Dr. Anna D. Martin is a Professor and holder of the Alois J. Theis Endowed Chair in Global Finance at The Peter J. Tobin College of Business , St. John's University. She serves as Executive Director of the Applied Finance Institute and has held leadership roles in professional organizations such as the Eastern Finance Association and Financial Management Association (FMA). Her research focuses on international finance, corporate hedging, and regulatory impacts on corporations, with over 40 publications in top journals like the Journal of International Money and Finance and Journal of Banking and Finance . She has been recognized for teaching, research, and service by her institution. Education: PhD in Finance, Florida Atlantic University MBA (International Specialization), University of Miami BS in Industrial Management, Purdue University Research Interests include analyzing how corporations manage financial risks through hedging strategies, the effects of regulatory policies (e.g., Dodd-Frank, Sarbanes-Oxley) on financial institutions, and cross-border financial dynamics. Her work bridges theoretical frameworks with real-world applications in global markets and corporate governance. Awards: Multiple teaching, research, and service awards from the Tobin College of Business, though specific names are not disclosed. Her leadership in founding and co-chairing the FMA Applied Finance conference (2011–2023) highlights her contributions to academic and professional discourse. Grants & Advising: While specific grant details are not provided, her extensive publication record and conference leadership imply significant involvement in funded research initiatives. She has mentored students through courses such as FIN 607 Financial Management and FIN 4350 Seminar in Finance , fostering expertise in applied finance analysis. Labs/Teams: Directs the Applied Finance Institute, which likely serves as a hub for collaborative research and industry engagement in finance and global markets.
Martin Wallmeier is a Full Professor at the University of Fribourg's Faculty of Economics and Social Sciences and Management, Department of Management Sciences. His research focuses on financial markets, derivatives, risk management, and behavioral finance. Research Trends: Recent articles analyze skewness premiums in options, stochastic dominance bounds, structured product design, home bias in international investments, and empirical challenges in volatility modeling. His work bridges quantitative finance and practical market analysis.
Shohini Kundu is an Assistant Professor of Finance at the UCLA Anderson School of Management and holds a courtesy appointment at UCLA School of Law. Her research focuses on financial intermediation, macroeconomics, corporate finance, and regulation, with a particular interest in emerging markets, especially India. She earned a PhD in Finance and MBA from the University of Chicago Booth School of Business, and a B.A. in Economics (Magna Cum Laude) from Cornell University. Education: Ph.D. Finance, 2021, University of Chicago Booth School of Business MBA, 2020, University of Chicago Booth School of Business B.A. Economics (Magna Cum Laude), 2016, Cornell University Her research investigates financial fragility, including how covenants in CLOs amplify systemic risks through fire sales, and their impact on asset prices and corporate decisions. She explores topics like deposit insurance expansion, banking network effects, and historical institutions’ role in economic outcomes. Her work has been recognized with awards such as the BlackRock Applied Research Award and Forbes 30 Under 30. Key Research Themes: Security design and contractual externalities Financial intermediation and macroeconomic linkages Emerging market finance and policy relevance Her recent articles analyze banking sector dynamics, deposit insurance reforms, and the geographic impact of liquidity shortages. She collaborates with institutions like the Centre for Economic Policy Research (CEPR) and engages in policy-oriented research to strengthen financial systems.
Dr Sally Wright is a Lecturer in Work & Employment at the Sheffield University Management School (SUMS), part of the University of Sheffield. She joined SUMS in July 2023 and is affiliated with the Centre for Decent Work (CDW). Previously, she held roles including Senior Research Fellow at the Warwick Institute for Employment Research and Adjunct Lecturer at the University of Technology Sydney. Her PhD in Employment Research from the University of Warwick focused on job quality measurement. Her research explores employment regulation, digital transformation impacts, platform-mediated work dynamics, and low-wage labour markets. Notable projects include analyses of algorithmic management in gig economies, the future of skills in digital transformation, and cross-national studies of healthcare innovation. She teaches Human Resource Management modules on undergraduate and MBA programs, emphasizing international comparative approaches and critical thinking through case studies. Dr Wright supervises doctoral candidate Gwilym Evans on the impact of technology in UK/US logistics sectors. She actively contributes to policy debates on decent work frameworks and has authored over 20 peer-reviewed publications. Her work bridges academic research with practical applications, addressing challenges in workforce adaptation to technological and structural changes. Current research interests include the intersection of AI/digital surveillance with job quality, high-road strategies for digital transformation, and global platformisation trends. She collaborates internationally on projects funded by EU initiatives like BEYOND 4.0, focusing on entrepreneurial ecosystems and socio-economic consequences of technological shifts.
Steven D. Hanson is a Professor and former Chair of the Department of Agricultural, Food, and Resource Economics at Michigan State University (MSU), where he also serves as Associate Provost and Dean of International Studies and Programs. He holds a Ph.D. and B.S. in Agricultural Economics from Iowa State University. His research focuses on risk management, commodity options pricing, land value analysis, and agricultural finance. Dr. Hanson has held leadership roles including Department Chair (2003–2014), Assistant Dean for International Programs, and Associate Provost. He is a Fellow of the Food Systems Leadership Institute and former Chair of the National Association of Agricultural Economics Administrators. His teaching spans graduate and undergraduate courses in financial economics and management. Research interests include pricing commodity options under time-varying volatility, capital gains taxation, and production-hedging strategies. He has authored influential works on agricultural insurance valuation, farm storage decisions, and international land transactions. His professional service includes leadership in aligning global scholarship on food systems, health, environment, and education through MSU’s International Studies and Programs.
Kjell G. Nyborg is a Professor of Finance at the University of Zurich, holding a chaired position in the Department of Banking and Finance since 2009. He also serves as a Senior Chair at the Swiss Finance Institute and has held visiting roles at institutions like BI Norwegian Business School (part-time) and Norges Bank (Norwegian Central Bank, part-time). His academic career includes positions at London Business School (1990–2004), Norwegian School of Economics (2005–2009), and UCLA Anderson School of Management (visiting periods). Education: Earned a Ph.D. in Finance from Stanford University (1985–1990) and an S.B. in Mathematics with General Honors from the University of Chicago (1980–1984). His research focuses on liquidity, money markets, banking, financial auctions, taxes, and corporate finance. Notable contributions include studies on central bank collateral frameworks and tax-adjusted discount rates. He has received the 2014 Best Paper Award in the Review of Corporate Finance Studies for his work on bank bailout menus. Nyborg has supervised numerous Ph.D. students and contributed to editorial roles at the Schmalenbach Business Review. His teaching spans advanced corporate finance, valuation techniques, and monetary policy, with ongoing courses at the University of Zurich. Nyborg is a Research Fellow at CEPR and has organized major finance conferences, including the European Winter Finance Summit and sessions at the European Finance Association.
Dr. Oksana Bashchenko is a researcher at the Swiss Finance Institute - HEC Lausanne , with affiliations to École polytechnique fédérale de Lausanne (EPFL) . Her work focuses on quantitative finance, cryptocurrency, and machine learning applications in financial markets. Research interests include: Application of deep learning (particularly LSTM networks) to financial time series analysis Asset bubble detection through strict local martingale models Bitcoin price dynamics and NLP-based sentiment analysis Volatility burst modeling and multi-analyst study methodologies Recent publications examine: Empirical finance frameworks through Nonstandard Errors (2024) with colleagues Deep learning approaches to market volatility Cryptocurrency price factors through BERT-based NLP
Gianluca De Nard serves as a Senior Research Associate at the University of Zurich's Department of Economics, Research Fellow at New York University's Volatility and Risk Institute, and Head of Quantitative Research at OLZ AG in Zurich. His career bridges academic research and practical finance applications, with significant contributions across multiple institutions. Dr. De Nard specializes in quantitative finance with expertise in portfolio optimization, covariance matrix estimation, and financial econometrics. His research focuses on developing robust statistical methods for handling large-dimensional financial data, with particular emphasis on shrinkage techniques and factor models. His work addresses fundamental challenges in modern portfolio theory, including nonstandard errors in financial research, climate risk integration, and AI applications in investment management. Analysis of his recent publications reveals a clear evolution toward integrating machine learning with traditional financial econometrics. His 2024-2025 work shows increasing sophistication in applying AI techniques to portfolio construction while maintaining rigorous statistical foundations. The recurring themes across his research include improving covariance matrix estimation, developing factor models for portfolio selection, and addressing methodological challenges in financial research. Dr. De Nard has established collaborations with leading researchers including Nobel laureate Robert F. Engle, Olivier Ledoit, and Michael Wolf. His work appears in top finance journals including the Journal of Finance, Journal of Financial Econometrics, and Journal of Banking and Finance, with his 2024 paper 'Nonstandard Errors' accumulating over 17,000 downloads. At OLZ AG, he applies his academic research to practical investment challenges as Head of Quantitative Research, demonstrating his ability to translate theoretical advances into real-world solutions. His dual academic-industry roles position him at the forefront of quantitative finance research and application.
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.
