April 17, 2026

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The AI Revolution: DePaul University Faculty Discuss Risks, Benefits and Innovations of Artificial Intelligence

The AI Revolution: DePaul University Faculty Discuss Risks, Benefits and Innovations of Artificial Intelligence

​Newswise — CHICAGO — As artificial intelligence reshapes how we learn, work and live, DePaul University faculty across multiple disciplines are helping make sense of its effect. From software development and healthcare systems to education policy and advertising ethics, these experts offer valuable insights for journalists covering AI.

To request an interview, contact the expert directly or email [email protected] for assistance.

EDUCATION

An Chih Cheng

Associate Professor, Teacher Education

[email protected]

• How AI is used in K–12 and higher education

• Personalized learning and assessment tools

• Legal and ethical challenges of AI in education

• Responsible and equitable integration of AI for special education and counseling

SCIENCE, TECHNOLOGY, SOFTWARE & SECURITY

Vahid Alizadeh

Assistant Professor, Computing

[email protected]

• AI in software engineering: code generation, refactoring and maintenance

• Security applications of AI in detecting vulnerabilities

• Ethics of automated coding and human-AI collaboration in programming

Tianxiang (Adam) Gao

Assistant Professor, Computing

[email protected]

• Deep learning, neural networks, and transformer models

• Large language models (GPT, BERT) and inference techniques

• AI in drug discovery and biomedical applications

• Theoretical AI foundations and optimization methods

Eric Landahl

Professor, Physics and Astrophysics

[email protected]

• Using AI to design scientific experiments

• Predictive modeling in physics and engineering

• AI applications in building electrical, mechanical and optical systems

Bamshad Mobasher

Professor, Computer Science

Chair, AI Program

Director, AI Institute

Director, Center for Web Intelligence

[email protected]

• Generative AI and recommender systems

• Personalization algorithms and machine learning ethics

• Risks, regulation and future directions in AI development

• Academic leadership in AI education and policy

David Ramsay

Assistant Professor, Computing

[email protected]

• How AI affects human connection, media and self-perception

• Cognition-aware technology and creative uses of generative AI

• AI in wearable tech and edge computing

• Cultural implications of human-AI interaction

HEALTHCARE & HEALTH CARE INFORMATICS

Sina Ansari

Assistant Professor, Management and Entrepreneurship

Co-Director, Master’s in Business Analytics Program

[email protected]

• AI-powered optimization in healthcare logistics, pharmacy operations and patient scheduling

• Public health and AI-driven service design

• Predictive modeling for patient satisfaction, access, and equity in healthcare delivery

• AI for sustainable operations and data-informed supply chain decisions

Casey Bennett

Assistant Professor, Computing

Chair, Master’s in Health Informatics Program

[email protected]

• Robotics and conversational agents in healthcare

• AI adoption for elder care and wearable health tech

• Trust, energy use and bias in AI systems

• Effect of AI on scientific reproducibility and health outcomes

Roselyne Tchoua

Assistant Professor, Computer Science

[email protected]

• Human-centered and responsible AI in medicine

• Healthcare applications of machine learning

• Human-in-the-loop and expert co-design in predictive modeling

• Reducing bias in AI to better serve at-risk populations

BUSINESS, MARKETING, ADVERTISING & CONSUMER TECH

Lamont Black

Associate Professor, Finance and Real Estate

[email protected]​​

• AI’s effect on financial services and business strategy

• Ethics and transparency in AI decision-making

• AI and emerging technologies for economic equity (e.g., for migrant populations)

• Data analytics, cryptocurrency and business innovation

Tao (Tony) Deng

Assistant Professor, Public Relations and Advertising

[email protected]

• AI personalization and automation in marketing

• Risks and ethics in AI-powered advertising targeting

• Generative AI for brand content and social media

• Consumer reactions and biometric applications (e.g., eye-tracking, facial recognition)

James (Jim) Mourey

Associate Professor, Marketing

Director, Full-Time MBA Program

[email protected]

• Psychological effect of AI on consumers and workers

• Generative AI in business and education

• Human-AI relationships and perception biases

• How AI affects workplace behavior and personal interactions

LAW, POLICY & REGULATION

Joshua Sarnoff

Raymond P. Niro Professor, Intellectual Property Law

[email protected]

• AI inventorship and intellectual property law

• Copyright, trade secrets and data usage in LLMs

• Legal ethics and AI in law school and practice

• Broader societal and governmental implications of AI adoption

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