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  1. Home
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  3. Lina Bouayad
Lina Bouayad's picture

Lina Bouayad

Associate Professor
Florida International University
Country or state 
United States (Florida)
Available to 
Europe,
North America,
...
City 
Tampa
Fee 
Languages 
English,
French,
...
Volunteer
No
Timezone 
America/Toronto

Personal Details

Bio

Dr. Lina Bouayad is a thought leader in artificial intelligence, healthcare informatics, and information systems, with a career spanning over a decade. As a highly sought-after keynote speaker, educator, and researcher, Dr. Bouayad's passion lies in leveraging AI and analytics to enhance decision-making, boost productivity, and improve outcomes for both organizations and individuals.

As an Associate Professor at the Department of Information Systems and Business Analytics at Florida International University, Dr. Bouayad has established herself as a recognized authority in her field. She has delivered compelling presentations at prestigious conferences and industry events across the globe, making complex AI concepts accessible and actionable for diverse audiences.

Dr. Bouayad’s dynamic speaking style and deep expertise make her a valuable asset to any organization or individual looking to understand the transformative power of AI. In addition to her academic role, she is the Founder and CEO of Looba.ai—Leading Organizational and Behavioral Adaptations through AI—a company dedicated to providing AI consulting and application development that not only enhances productivity but also fosters human connections.

She has provided presentations, and workshops on AI and its applications throughout the country, influencing audiences ranging from academic peers to industry professionals. Her recent speaking engagements include the American Medical Informatics Association Annual Symposium, the International Conference on Design Science Research in Information Systems and Technology, and the Workshop on Information Technology and Systems.

AI is revolutionizing every aspect of our world, and understanding its potential is key to thriving in the future. Dr. Lina Bouayad shares the roadmap to leveraging AI for success, whether you're a business leader, healthcare professional, or an individual seeking to stay ahead of the curve.

Keynotes include:

AI in Healthcare: Transforming Patient Care and Outcomes

Systemic Fairness in AI: Ensuring Equity in Technology-Driven Decisions

AI for Leaders: Enhancing Decision-Making and Productivity

The Future of AI in Business: Opportunities and Challenges

Understanding and Using AI for Behavioral Insights

Dr. Bouayad has delivered hundreds of lectures and presentations, engaging audiences from intimate workshops to large-scale conferences. Her work spans across sectors, from healthcare and education to corporate and public institutions.

Recent Corporate Clients Include:

Florida International University

Tampa General Hospital

Synapse Converge

U.S. Army Research Office

Office of Compliance and Business Integrity at the VA

Recent Academic & Youth Clients Include:

International Conference on Information Systems

McKnight Annual Fellows Conference

Data Science Salon

Current position (1)

Associate Professor

Florida International University

Degrees (1)
PhD Management Information Systems
University of South Florida
2010 to 2015

Presentations

Presentations (5)
AI in Healthcare

Exploring how AI transforms patient care, enhances healthcare efficiency, and improves outcomes.

Systemic Fairness in AI

Addressing the ethical challenges of AI, ensuring equitable and unbiased decision-making across systems.

Leveraging AI for Decision-Making

Enhancing organizational decision-making processes through advanced AI tools and analytics.

AI in Business and Society

Understanding the impact of AI on business practices and societal changes, driving innovation and growth.

Behavioral Analytics

Using AI to analyze and influence individual and group behaviors for improved productivity and outcomes.

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Books & Articles (5)

Patient health record systems scope and functionalities: literature review and future directions
https://www.jmir.org/2017/11/e388/
Can recommender systems reduce healthcare costs? The role of time pressure and cost transparency in prescription choice.
Machine learning for psychiatric patient triaging: an investigation of cascading classifiers
Measuring pain care quality in the Veterans Health Administration primary care setting

Expertise (8)

Technology
Health & Well-being
Business
AI in healthcare Systemic Fairness AI Decision Making AI Societal Impact AI Behavioral Analytics
Recommendations
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