جست‌وجوی استاد و پژوهشگر

Di Buمشاهده پروفایل

دانشیار

• FinTech
• Climate Finance
• Household Finance
• +۳ مورد دیگر

Di Bu is an Associate Professor in the Department of Applied Finance at Macquarie University, leading the Macquarie University FinTech and Banking Research Centre. He holds a PhD in Finance from the University of Queensland (2015). His research focuses on FinTech innovations, climate finance, household finance, and behavioral finance, with an emphasis on embedding sustainability into financial systems. He has secured over AUD 4 million in research funding through ARC Linkage and Discovery projects, focusing on AI-driven credit assessments, Open Banking, ESG analytics, and climate resilience. Education PhD in Finance, University of Queensland (2015) Research Interests Di's work explores belief formation in financial decisions, sustainable lending practices, and climate adaptation tools. He pioneers projects such as AI credit scoring systems, behavioral interventions for sustainable investing, and digital platforms for climate resilience. His interdisciplinary approach bridges industry, government, and academia to address financial and environmental challenges. Projects & Funding AUD 4M+ in grants including two ARC Linkage and one ARC Discovery projects Current initiatives: Greenwashing detection, ESG rating divergence analysis, and climate-resilient finance platforms Labs/Teams Director of the FinTech & Banking Research Centre and affiliated with Data Horizons Research Centre and Frontier AI Research Centre at Macquarie University.

Jiyun Kangمشاهده پروفایل

دانشیار

• Consumer Behavior
• Consumer Experience
• Consumer Well-Being
• +۱۸ مورد دیگر

Jiyun Kang serves as an Associate Professor at Purdue University's White Lodging-J.W. Marriott, Jr. School of Hospitality and Tourism Management within the College of Health and Human Sciences. Her research examines consumer behavior, well-being, and sustainable practices across fashion, luxury, and retail sectors, with emphasis on artificial intelligence applications, crisis management, and corporate social responsibility initiatives. Her academic credentials include: PhD in Human Ecology from Louisiana State University (2010) MS in Business/Marketing from Seoul National University (2005) BA in English Language and Literature from Korea University (2002) Dr. Kang's research spans consumer psychology, sustainable consumption, and digital innovation in retail. She investigates decision fatigue in luxury contexts, AI-driven mitigation of purchase hesitation, and psychological ownership in fashion subscription models. Her work consistently employs quantitative methods including machine learning and causal modeling to analyze brand-consumer dynamics during ethical crises and sustainability transitions. Analysis of her 2022-2025 publications reveals three dominant trends: (1) blockchain/NFT applications for luxury authentication, (2) AI ethics in retail crisis management, and (3) intersectional approaches to sustainable fashion through psychological ownership frameworks. Methodologically, she increasingly integrates natural language processing with traditional consumer behavior models to examine corporate social responsibility perceptions. Scientific awards: No awards are documented in the provided materials. Advising and grants: The source text contains no information regarding graduate student mentorship or externally funded research projects.

• Asset Management
• Hedge Funds
• Risk Management
• +۲ مورد دیگر

Robert Kosowski is Professor of Finance and Head of the Department of Finance at Imperial College Business School, Imperial College London. He holds a Ph.D. from London School of Economics, M.Sc. in Economics from London School of Economics, and B.A./M.A. in Economics from Trinity College, Cambridge University. His research examines asset management, risk management, machine learning applications in finance, hedge funds, and performance measurement. He has published in top finance journals including Journal of Finance, Journal of Financial Economics, and Review of Financial Studies. Awards include European Finance Association Best Paper Award (2007), four INQUIRE best paper awards, and British Academy Mid-Career Fellowship (2011-2012). Recent publications focus on machine learning in finance, regulatory impacts on funds, and innovative risk management approaches. Articles demonstrate consistent methodological rigor across quantitative finance topics with practical applications for investment management. Professor Kosowski is co-author of 'Principles of Financial Engineering' and directs executive education programs in Risk Management. He has industry experience as Head of Quantitative Research at Unigestion and previously worked at Goldman Sachs and Deutsche Bank.

Thierry Warinمشاهده پروفایل

استاد

• Data Science for Global Transformations
• Platform Economy
• Industrial Organization
• +۷ مورد دیگر

Thierry Warin is a Full Professor of Data Science for International Business at HEC Montréal, directing the Department of International Business. He holds the Professorship in Data Science for International Business and is a Principal Investigator at CIRANO, leading the World Economy theme. His roles include affiliations with Harvard Business School’s Microeconomics of Competitiveness program and the International Trade and Finance Association presidency (2020-2022). Education: PhD from ESSEC Business School (France, 2000). Professional development includes the Harvard Business Analytics Program (2018-2020) and GIS training at Harvard. Research Interests: Data science applications in global economic transformations, including network theory, natural language processing, and computational methods. Focus areas: algorithmic collusion, platform economies, and metadata-driven analyses. He develops open-source tools like the statcanR package and advocates for reproducible research. Articles Trends: Recent work explores AI regulation, algorithmic competition, climate transition plans, and central bank speech analysis. Methodologies span structural topic modeling, social media analytics, and entropy-based frameworks. Awards: Honored with the Highly Commended Paper Award (2017-2018) and Emerald Literati Award (2018) for reverse innovation research. Recognized for contributions to computational social science and regulatory frameworks. Advising & Grants: Supervised 16 master’s projects since 2019, focusing on data science applications in global business challenges. Active in interdisciplinary initiatives like the St. Lawrence–Great Lakes corridor data hub. Labs & Philanthropy: Founded quantum simulations and leads Ed’Haîti , an NGO addressing education in Haiti. Collaborates on Science des données au féminin en Afrique , empowering 200 African women with data science skills.

Matthias Nnadiمشاهده پروفایل

مدرس ارشد

• Accounting in Emerging Economies
• International Financial Reporting Standards (IFRS)
• International Public Sector Accounting Standards (IPSAS)
• +۵ مورد دیگر

Dr. Matthias Nnadi serves as a Senior Lecturer in Accounting at Cranfield School of Management, Cranfield University, within the Department of Economics, Finance and Business Data Analytics. His academic career spans both theoretical research and practical industry applications in accounting and finance. His educational background includes a Bachelor's degree in Accounting (BSc), Master in Business Education (MEd), MBA, and PhD, complemented by Postgraduate certificates in Academic Practice and Business Enterprise. Professional memberships span multiple accounting bodies, reflecting his deep engagement with the field. Dr. Nnadi's research focuses on accounting in emerging economies, particularly examining the relevance of International Financial Reporting Standards (IFRS) in developing contexts, corporate mergers and acquisitions, and earnings management practices. His work bridges academic theory and practical application through extensive industry engagement. His scholarly output demonstrates consistent contributions to top accounting journals, with recent publications examining IFRS implementation effects, corporate sustainability impacts, and M&A performance metrics. The research shows particular strength in African and Asian emerging markets contexts. Chartered Institute of Taxation research grant recipient Seedcorn funding awardee for academic research Editorial Board member of Journal of Bonds and Derivatives As an educator, Dr. Nnadi developed the Individualised Accounting Technique (IAQ), a teaching and assessment model widely adopted in business schools for large accounting classes. His industry contributions include executive training programs on IFRS and IPSAS for both private and public sector organizations, drawing on his practical experience as former budget manager at a telecommunications company and stock accountant at a multinational corporation.

• Sustainable Finance
• Corporate Finance
• Climate Risk Assessment
• +۵ مورد دیگر

Prof. Michael HALLING is a Full Professor in Sustainable Finance at the University of Luxembourg's Faculty of Law, Economics and Finance, Department of Finance. His work focuses on sustainable finance, corporate finance dynamics, climate risk assessment, and financial regulation. He holds the prestigious Chair in Sustainable Finance and has published extensively on topics like MiFID II compliance, mutual fund fee structures, and post-pandemic market recovery. Contact: michael.halling@uni.lu Research Interests : Prof. HALLING’s research bridges theoretical finance with practical applications, emphasizing sustainable investment practices, corporate debt management, and regulatory frameworks. Key themes include: Climate risk modeling using public news sentiment analysis Impact of behavioral preferences on corporate investment decisions Automated compliance systems for financial institutions Market dynamics during crises (e.g., pandemic effects on capital access) Recent Publications Trends : Recent works analyze MiFID II regulatory impacts (2024), stochastic modeling of corporate investment (2023), and firm-specific climate risk quantification. His 2020 studies explored pandemic-driven shifts in corporate financing strategies. Awards : No awards explicitly mentioned in the provided texts. Grants & Advising : No student advisees or grant details provided in available data. Labs/Teams : No specific research group affiliations listed.

Marti G. Subrahmanyamمشاهده پروفایل

استاد

• Derivatives Markets
• Corporate Finance
• International Finance
• +۶ مورد دیگر

Marti G. Subrahmanyam is the Charles E. Merrill Professor of Finance, Economics and International Business at the Leonard N. Stern School of Business, New York University , and a Global Network Professor of Finance at NYU Shanghai . He holds a PhD in Finance and Economics (MIT, 1974) , a post-graduate diploma from the Indian Institute of Management, Ahmedabad (1969) , and a B.Tech. in Mechanical Engineering from IIT Madras (1967) , where he has also served as a visiting professor. His career spans over five decades, with editorial roles at top journals like Journal of Finance and Review of Financial Studies . Research Focus : Derivatives markets, corporate finance, fixed income, market microstructure, ESG investing, and quantitative easing. Academic Leadership : Founded NYU Stern and NYU Shanghai Undergraduate Honors Programs, served on over 85 doctoral committees, chaired 35. Scientific Awards : New York University Distinguished Teaching Medal (2003) Anneliese Maier Award (2016) - First economist to receive this honor Distinguished Alumnus Awards from IIT Madras (2004) and IIM Ahmedabad (2011)

Nafis Alamمشاهده پروفایل

استاد

• FinTech
• Financial Regulation
• Digital Currency
• +۶ مورد دیگر

Dr. Nafis Alam is a Professor and Head of the School of Business at Monash University Malaysia. With over 20 years in higher education, he has held leadership roles at institutions including the Henley Business School Malaysia, University of Reading Malaysia, and Asia Pacific University. His expertise spans FinTech, financial regulation, and Islamic finance, with over 50 peer-reviewed publications and nine co-authored books. He actively engages with global industry and policy, contributing to reports by the Cambridge Centre for Alternative Finance (CCAF). Awards include the Global Islamic Finance Award's 'Upcoming Personality' (2016) and Monash University's Vice-Chancellor Medal (2016). Education: PhD in Banking and Finance (Monash University), MBA (Multimedia University), and Economics (Patna University). He holds a Postgraduate Certificate in Higher Education (PGCHE) from the University of Nottingham and is a Senior Fellow of the Higher Education Academy (SFHEA). Research focuses on FinTech regulation, digital currencies, AI ethics, and Islamic finance innovation. Recent projects include Malaysia's consumer credit framework and blockchain in energy legal systems. Media contributions include commentaries on cryptocurrency, fiscal reforms, and ESG evaluations. Key Supervision Areas: FinTech, Financial Regulation, Technology Adoption Grants/Projects: Active roles in 2023-2026 projects on legal frameworks for blockchain and consumer credit Labs/Teams: Collaborations with global institutions like CCAF and industry partners in Southeast Asia. Advocates for market-driven education programs and adult learning strategies.

Felipe Thomazمشاهده پروفایل

دانشیار

• Marketing Strategy
• Digital Marketing
• AI Ethics in Business
• +۶ مورد دیگر

Felipe Thomaz is an Associate Professor of Marketing at Saïd Business School, University of Oxford, and Deputy Director of the Oxford Future of Marketing Initiative. He holds a PhD in Marketing from the University of Pittsburgh and previously taught at the University of South Carolina. His research focuses on marketing strategy, AI ethics, illicit markets, and ESG integration, with notable contributions to frameworks like Ad Net Zero for net-zero advertising emissions. He collaborates with UN agencies, NGOs, and tech companies to address global sustainability goals and wildlife trafficking networks. Education: PhD in Marketing (University of Pittsburgh), MSc in Marketing & Finance (University of Pittsburgh), BSc in Animal Sciences (University of Florida). Research interests include digital marketing channels, brand performance via social networks, AI-driven marketing strategies, and conservation science linked to wildlife trade. His work bridges academia and industry, resulting in spinouts and IP transfers from Saïd Business School. Key projects include: Ad Net Zero: Global standard for reducing advertising emissions UN collaboration on wildlife trafficking through dark web analysis UNESCO partnerships on eliminating stereotypes in advertising His interdisciplinary approach spans marketing, mathematics, and conservation science, with publications in top journals like Journal of Marketing and Conservation Science and Practice .

Ashish Sinhaمشاهده پروفایل

استاد

• Marketing Strategy
• Business Analytics
• Digital Transformation
• +۵ مورد دیگر

Professor Ashish Sinha is a leading academic in Marketing at the UQ Business School, holding concurrent roles as Visiting Professor at the Indian School of Business and Research Fellow at the Hong Kong Polytechnic University. His career spans senior leadership in academia (e.g., Academic Dean of Executive Education at ISB, Interim Dean at UTS Business School) and industry (Vice President at IRI, Chicago). His research bridges theory and practice, focusing on digital transformation, AI-driven strategies, ESG impact analysis, and marketing analytics. He has pioneered frameworks for retail optimization, category management, and B2B innovation adoption, with over 30 journal articles in top-tier outlets like Journal of Marketing and Marketing Science . Research Impacts: Sinha’s work has transformed executive education programs (e.g., ISB’s #38-ranked custom programs) and driven research excellence at UTS. He is a serial entrepreneur, having founded two analytics firms acquired for their practical impact. His $240M Food Agility CRC participation highlights his role in agribusiness innovation. Awards include the Davidson Award and twice runner-up for the Gary Lilien Practice Award for applied marketing science. Key Research Themes: AI in Marketing, Digital Transformation, ESG Strategies, Consumer Sentiment Analysis Leadership Roles: Academic Dean (ISB), ADR (UTS), Head of Marketing (UNSW) Industry Experience: Analytics leadership at IRI, strategic consulting across sectors Grants/Partnerships: CI in Food Agility CRC ($240M), multiple ERA-recognized research collaborations. Advises on AI ethics, sustainable marketing, and global business strategy.

Agostino Capponiمشاهده پروفایل

استاد

• Systemic Risk
• Financial Technology
• Blockchain and Crypto Economics
• +۴ مورد دیگر

Agostino Capponi is a Professor of Industrial Engineering and Operations Research at Columbia University, affiliated with Columbia Engineering and the Data Science Institute (DSI). He holds academic fellowships at the Luohan Academy (Alibaba Group) and the Fintech@Cornell Center. His research focuses on systemic risk, financial technology, blockchain economics, and machine learning applications in finance. He has authored a best-selling book on machine learning in financial markets and received prestigious awards including the NSF CAREER Award and the JP Morgan AI Faculty Research Award. Education: Master's and PhD in Computer Science and Applied & Computational Mathematics from Caltech (2006-2009). Professional roles include Editor of Management Science , co-editor of Mathematics and Financial Economics , and leadership positions in the Bachelier Finance Society and INFORMS Finance Section. His research has been funded by NSF, DARPA, J.P. Morgan, Ethereum Foundation, and others. Research interests span blockchain governance, decentralized finance protocols, and systemic risk mitigation in financial networks. Notable contributions include work on liquidity risk, crypto-economic systems, and causal inference in financial modeling. Media coverage includes American Banker, Vox, and Chicago Booth Review. He holds a patent in military network tracking and served as a visiting scholar at the Federal Reserve Bank of New York.

Caterina Crucianiمشاهده پروفایل

دانشیار

• Financial Economics
• Behavioral Finance
• Trust in Financial Advisory
• +۷ مورد دیگر

Caterina Cruciani is an Associate Professor at the Department of Management , Venice School of Management , Ca' Foscari University of Venice. She serves as a member of the University Scientific Instrumentation Service Center (CSA) Management Committee and is affiliated with the Research Institute for Social Innovation . Research Interests Trust dynamics in financial advisory Behavioral finance and investor decision-making Sustainability disclosure and ESG integration Digital transformation in financial services Regional economic development and SME financing Agent-based modeling of cooperative behavior Key Article Trends (2009-2024): Span 15 years of research on financial trust (12 publications), behavioral economics (10), sustainability (6), and digital finance (5). Methodologically combines experimental economics , structural equation modeling , and Supervised Topic Modeling for ESG discourse analysis.

Helen Luمشاهده پروفایل

دانشیار

• Applications of AI in Accounting and Finance
• Valuation
• Return Predictability
• +۳ مورد دیگر

Helen Lu is an Associate Professor of Accounting and AI at Vlerick Business School and a Senior Lecturer at the University of Auckland (FinTech Lead for the Master's in Business Analytics). She holds a PhD in Finance from Massey University, an MBA from London Business School, a Master's in Economics (Macroeconomics) from Peking University, and a Bachelor's in Computer Science Engineering from Northern Jiaotong University. Her research focuses on integrating AI into accounting and finance, including valuation, return predictability, ESG disclosure, executive succession, and FinTech disruptions. Before academia, Lu worked in investment banking at Credit Suisse and Deutsche Bank, specializing in capital raising and cross-border M&A in Asia-Pacific. Her work bridges academic research and industry practice, particularly in leveraging AI to solve complex financial and accounting challenges. She has published in top journals like the Journal of Accounting Research , Journal of Banking and Finance , and Journal of International Money and Finance . Her recent publications emphasize AI-driven valuation methods, ESG disclosure analysis, and the interplay between executive transitions and financial reporting. Her articles often highlight the application of machine learning to traditional finance problems, such as tail risk assessment and anomaly strategy correlations. Lu’s expertise spans multiple domains, with a focus on transforming data-driven technologies into actionable insights for financial decision-making. She actively contributes to academic discourse on sustainability metrics, particularly green asset valuation and corporate governance during crises.

James P. Naughtonمشاهده پروفایل

دانشیار

• Financial Accounting
• Corporate Governance
• ESG Disclosure
• +۳ مورد دیگر

James P. Naughton is an Associate Professor at the Darden School of Business , University of Virginia. His research focuses on how financial, legal, and regulatory institutions influence disclosure practices and economic decision-making, particularly in the context of pension plans, ESG reporting, and litigation risk. Key research areas: Pension accounting, ESG disclosure, Social media strategy, Regulatory enforcement Teaches core financial accounting in Darden's MBA program Research Trends : His recent work examines investor integration of ESG and earnings news, algorithmic litigation risk prediction, and the role of credit ratings in voluntary disclosure. Co-authored studies on social media's impact on corporate communication and public pension accounting rules' economic effects. Collaborators : Frequently works with Clare Wang, Ira Yeung, Austin Moss, and Rafael Rogo. Affiliated with institutions like University of Colorado Boulder, London Business School, and Simon Fraser University.

• Artificial Intelligence
• Machine Learning
• Knowledge Graphs
• +۵ مورد دیگر

Dr. Madhushi Bandara is a Lecturer at the School of Computer Science, University of Technology Sydney (UTS), specializing in knowledge representation, complex system modeling, and data analytics. She leads the data management research stream at the UTS DigiSAS lab and is a core member of the Biomedical Data Science Laboratory within the UTS Australian Artificial Intelligence Institute. Her industry collaborations include Telstra, Cancer Australia, and Capsifi, focusing on AI integration in healthcare and finance. She coordinates the Business Information Systems major in UTS's Master of Information Technology program and convenes the Future Generation Enterprise Architecture Community of Practice. Education PhD in AI Systems Engineering, University of New South Wales (2020) BSc (Hons) in Engineering, University of Moratuwa, Sri Lanka (2015) Research Interests Madhushi's work bridges machine learning, knowledge graphs, and enterprise architecture to address challenges in data governance for SMEs, ESG metric management, and healthcare pathway analysis. Her research emphasizes translating cutting-edge AI into industry solutions through contextual domain knowledge integration. Scientific Awards UNSW-UTS Trustworthy Digital Society Scholarship Teaching & Leadership She teaches enterprise information systems, digital strategy, and AI for enterprises in UTS's online postgraduate programs. Her service roles include co-chairing tracks at the Australasian Conference on Information Systems and reviewing for Expert Systems with Applications.