Associate Professor · Florida International University
I am Pouyan Esmaeil Zadeh (Esmaeilzadeh), Associate Professor of Information Systems and Business Analytics and Director of the MBA in Business Analytics program at FIU's College of Business. My research examines how artificial intelligence, large language models, care companion robots, augmented reality, and health information exchange systems can be adopted responsibly, in ways that clinicians trust and patients benefit from.
I joined FIU in 2014 and have spent the past decade building a research program at the intersection of information systems and health informatics. I hold a Ph.D. in Management from University Putra Malaysia, an MBA from the Sprott School of Business at Carleton University, and a B.Sc. in Industrial Engineering. My work has been recognized with a Fulbright Award, the AI 360 Research Fellowship, and the Knight-Ridder Research Fellowship, and includes an active collaboration with the National Institutes of Health on AI for youth mental health. Beyond research, I direct FIU's MBA in Business Analytics program, serve on the university's AI governance efforts, and speak regularly with South Florida media about AI, robotics, LLMs, blockchain, and cryptocurrency.
My research goes beyond studying whether people adopt new technologies. It focuses on how emerging technologies can be developed and deployed in healthcare to create real value for different stakeholders: patients, clinicians, healthcare organizations, and society.
Experimental and mixed-methods studies of how patients and clinicians interact with AI, from LLM-assisted patient portals and triage to ambient AI for nursing handoffs and medical chatbots.
How organizations can develop, deploy, and govern AI agents, with a special focus on agentic AI in healthcare workflows and decision-making.
Clinician perspectives on the ethical integration of LLMs in care, privacy and security challenges of generative AI in medicine, and AI risk management frameworks for organizations.
A long-running program on how privacy policy, data entry structures, trust, and incentives shape whether patients and providers share health information across organizations.
Theory-driven studies of why individuals embrace or resist emerging technologies such as health apps, wearables, telehealth, care robots, and mental health chatbots.
From incentives in blockchain-based health data sharing platforms to individual adoption of Bitcoin and spot Bitcoin ETPs, and the potential of NFTs for health information exchange.
Mixed-methods explorations of how older adults perceive robotic companions and smart care technologies as partners in independent, healthy aging.
My work appears in leading information systems and health informatics venues, including Information & Management, the Journal of Medical Internet Research, the Journal of Biomedical Informatics, Computers in Human Behavior, the International Journal of Medical Informatics, and Artificial Intelligence in Medicine.
As Director of the MBA in Business Analytics, I lead a program preparing professionals to make data-driven and AI-informed decisions. In the classroom, I focus on making AI and analytics hands-on, current, and immediately usable. My recent courses are built around live tools, generative AI labs, and real datasets.
ISM 6427: How organizations formulate and execute AI strategy, for the MBA in Artificial Intelligence program.
ISM 6467: Hands-on generative AI labs, prompt engineering, and a startup-studio capstone where students build with AI.
ISM 6021: Core IS management for Professional MBA and Healthcare MBA students.
ISM 4151: Digital service design and innovation management for Information Systems majors.
HIM 6694: Consumer-facing health information technologies and analytics for healthcare leaders.
IDH 3035: Honors College seminar exploring how AI is reshaping work, creativity, ethics, and what it means to be human.
Regular conversations with South Florida newspapers, radio, and TV about AI, robotics, LLMs, blockchain, cryptocurrency, and NFTs, translating research into plain language for the public.
Frequent panelist and participant in panels and conferences on AI, healthcare, and emerging technology, including events at FIU, South Florida HIMSS, AI 305, and AMCIS.
Creator of instructional videos and educational content that make practical AI skills accessible to general audiences. Watch a selection in the Videos section below.
Reviewer for information systems and health informatics journals and conferences, dissertation committee member, and Association for Information Systems member.
Advising Ph.D. students and MBA candidates on research and careers at the intersection of analytics, AI, and healthcare.
A selection of my recorded talks, panels, podcast conversations, and instructional videos on AI, prompt engineering, and technology in healthcare. Click any video to watch it on YouTube.
I welcome conversations about research collaboration, doctoral supervision, media commentary on AI and emerging technology, and speaking engagements. The fastest way to reach me is by email.
✉ Email me: pesmaeil@fiu.edu