School Of Business - Meet Our Faculty

The Stevens School of Business faculty, with extensive experience in both academia and industry, has fueled the school’s rise to national prominence. Our professors are recognized experts in areas such as artificial intelligence, fintech, information systems, machine learning, marketing, entrepreneurship, quantitative finance, and more. Explore how our faculty are driving research innovation and shaping thought leadership in their fields.

Delivering Value with AI: Business Model Transformation

Professor Katia Meggiorin shows how artificial intelligence is reshaping the rules of competition. Using the 9-Block Business Model Canvas as a foundation, she breaks down the core elements of organizational success before applying the framework to compare a traditional company with an AI-driven counterpart—revealing how AI can transform business models, strategy, and competitive advantage from the ground up.

Data: The Next Frontier

Professor Aleksi Aaltonen examines the role of data as the foundational resource in today’s digital, AI-driven economy. He unpacks what data are, why their strategic importance continues to grow, and the emerging trends and challenges organizations must navigate as they increasingly rely on data to drive innovation, decision-making, and competitive advantage.

AI Entrepreneurship: Bootstrapping Autonomous Robotaxi Services

Professor Jordan Suchow examines the rise of robotaxi services and the central challenge of building autonomous systems when the data needed to train them can only be gathered through real-world deployment, highlighting how companies have tackled this bootstrapping problem across industries.

AI in Finance: Rewiring Robo-Advising for the Autonomous Portfolio

Professor Zachary Feinstein examines the evolution of wealth management, highlighting how artificial intelligence, decentralized markets, and tokenized assets are enabling more adaptive, automated portfolio strategies in an increasingly frictionless financial landscape.

Responsible AI: Foundations of Ethics and Algorithmic Fairness

Professor Violet Chen examines the foundations of AI ethics, highlighting algorithmic fairness and the role of transparency, privacy and accountability in guiding real-world decisions in an increasingly automated landscape.

Managing AI Technologies: AI-in-the-Loop, AI-on-the-Loop, Human-out-of-the-Loop?

Professor Michael zur Muehlen explores three AI deployment models—AI-in-the-loop, AI-on-the-loop and human-out-of-the-loop—and the oversight strategies needed as systems move toward greater automation.

How Do Open-Source Developers Shape Software Without a Central Coordinator?

Professor Aron Lindberg and his co-authors examine how volunteer communities develop open-source software (free software that anyone can use and modify) without traditional management structures.

Casting a Wider Net to Detect Phishing Scams

SSB Dean GJ de Vreede and his co-authors examine the effectiveness of current employee training methods.

Pricing Machine Learning Complexity

Professor Majeed Simaan examines the relationship of machine learning model complexity to its performance in terms of risk and reward in the financial industry.

Understanding Currency Risk

Professor Ying Wu examines how U.S. monetary policy and the strength of the American dollar affect global markets. Learn how currency risk may affect you and your investments.

The Rise of DeFi

Professor Zachary Feinstein examines how the the promise of decentralized finance can democratize finance and the risks investors should be aware of.