Leading Research in Applied AI
Bryan School faculty are advancing applied artificial intelligence through research that addresses real-world business challenges. From analytics and operations to finance and marketing, our scholars explore how AI can improve decision-making, efficiency, and organizational performance. Their work bridges theory and practice to deliver measurable impact.
AI Faculty Expertise Across Disciplines
Our faculty bring deep expertise in artificial intelligence, analytics, and emerging technologies across business fields. From research and consulting to classroom leadership, they help organizations and students navigate AI with strategic insight and practical application.
Grace Bang
Consumer, Apparel, and Retail Studies
- Applications of Generative AI in Design Education
- Human–AI Interaction and Co-Creation
- AI-Enabled Sustainable and Digital Innovation
Moez Farokhniahamedani
Information Systems & Supply Chain Management
- Artificial Intelligence & Machine Learning
- Cybersecurity and Information Privacy
- Natural Language Processing & LLMs
Dayong Huang
Accounting and Finance
- Machine learning
- Deep learning
- Machine learning and deep learning for climate change
Jiyoung Hwang
Marketing, Entrepreneurship, Hospitality and Tourism
- Human-AI Interaction and Consumer Trust
- Generative AI Driven Retail Innovation
- Ethical AI and Consumer Well-Being
Ryan Isham
Marketing, Entrepreneurship, Hospitality and Tourism
- Technology Commercialization
- AI-Augmented Innovation
- Intellectual Property Strategy
Lakshmi Iyer
Information Systems & Supply Chain Management
- Responsible and Applied Generative AI for Education and Business
- Human-centered, Immersive AI-Driven Systems for Workforce Development
- Job Crafting in the Era of AI
Nir Ksehtri
Management
- AI’s intersection with blockchain and Metaverse
- Economics and policy of generative AI
- AI for global development and inclusion
Lijun (Gillian) Lei
Accounting and Finance
- Computational text analysis of corporate disclosure
- AI and productivity in judgment-intensive and human-centered functions
- Application of AI tools in accounting and finance decision-making
Motahareh Pourbehzadi
Information Systems & Supply Chain Management
- Agentic AI for Adaptive Decision-Making in Complex Systems
- Immersive & Human-Centered AI for Workforce Development
- Multi-Layer Risk Modeling and Context-Aware AI Architectures
Marketa Rickley
Management
- Generative and predictive AI for business leaders
- Strategic AI adoption
- Predictive models in leadership
Madelynn Stackhouse
Management
- AI‑Enhanced Learning Design
- AI Simulation & Modeling
- AI Integration in Teaching & Assessment
Vas Taras
Management
- International Business
- Cross-Cultural Management
- Global Virtual Teams
Mengmeng Wang
Accounting and Finance
- AI in Financial Markets and Investment Decisions
- AI and Corporate Disclosure
- AI for Financial and Regulatory Data Analysis
Anne Wood
Consumer, Apparel, and Retail Studies
- Artificial Intelligence in Retail Analytics
- AI as a thought partner in design
- AI Tools & Predictive Personalization in Retail