Ahmed Abbasi

Joe and Jane Giovanini Professor of IT, Analytics, and Operations; Director, Lucy Family Institute for Data and Society; Co-Director, Human-centered Analytics Lab (HAL); Academic Director of the Ph.D. Program in Analytics

IT, Analytics, and Operations

Biography

Ahmed Abbasi is the Joe and Jane Giovanini Professor of IT, Analytics, and Operations. He serves as Director of the Lucy Family Institute for Data & Society, Co-Director of the Human-centered Analytics Lab (HAL), and Director of the Analytics Ph.D. program. He is a Concurrent Professor of Computer Science & Engineering at Notre Dame, and a Visiting Professor at the London School of Economics and Political Science. Ahmed completed his Ph.D. work in Information Systems at the University of Arizona’s Artificial Intelligence (AI) Lab. He attained an M.S. in Operations Research from Columbia University and M.B.A./B.S. degrees from Virginia Tech. He has over twenty years of experience pertaining to human-centered analytics, machine learning, and predictive modeling, with applications in health, online communities, and digital user experience. Ahmed’s research has been funded by over a dozen grants from the U.S. National Science Foundation and industry partners such as AWS, Microsoft, eBay, and Oracle. He has received the IEEE Technical Achievement Award, INFORMS Design Science Award, IBM Faculty Award, Notre Dame All-Faculty Team Award, and Kemper Professor Award for his work on human-centered AI. Ahmed has published over 130 articles in top journals and conferences, won best paper awards at AIS, INFORMS, MISQ, ISR, and WITS, and was a finalist for the AMA’s Hunt/Maynard Award. His work has been featured in various media outlets including the Wall Street Journal, Harvard Business Review, the Associated Press, WIRED, CBS, and Fox. Ahmed serves as a senior or associate editor for various INFORMS, IEEE, and ACM journals, including Senior Editor at ISR and Department Editor for Trustworthy and Responsible AI at IEEE Intelligent Systems, and Area Chair for ACL and NeurIPS. He was a past elected Chair of the INFORMS College on AI and is acting president of WITS. Ahmed is a Fellow of INFORMS (ISS), Distinguished Member of ACM, and Senior Member of IEEE.

Background

Education

Ph D, Artificial Intelligence Lab, Eller College of Management, University of Arizona, Information Systems/Artificial Intelligence
MS, Operations Research, Columbia University, Operations Research
MBA, Pamplin College of Business, Virginia Tech, IT
BS, IT & Management Science, Virginia Tech, Information Technology

Editorial Boards

Associate Editor, ACM Transactions on AI Security and Privacy (2025)
Special Section Editor, IEEE Intelligent Systems (2025)
Senior Editor, INFORMS Information Systems Research (2018)
Associate Editor, IEEE Intelligent Systems (2014)
Associate Editor, ACM Transactions on Management Information Systems (2013)
Associate Editor, Decision Sciences Journal (2015 - 2015)
Associate Editor, INFORMS Information Systems Research (2015 - 2015)
Editorial Board Member, Journal of the AIS (2014 - 2014)

Publications

Investigating the Replicability of the Social and Behavioral Sciences

Andrew Tyner
Anna Abatayo
Macie Daley
Samuel Field
Ahmed Abbasi
Nicholas Berente
Jason Thatcher
Ryan Wright
Brian Nosek
Timothy Errington

Nature

652

2026

Pavlov's Dog and Large Language Models: The Double-Edged Power of Context Conditioning

Denghui Zhang
Rushi Wang
Jiateng Liu
Kezia Oketch
Yiyu Shi
Heng Ji
Ahmed Abbasi

IEEE Intelligent Systems

2026

Automating in High-Expertise, Low-Label Environments: Evidence-Based Medicine by Expert-Augmented Few-Shot Learning

Rong Liu
Jingjing Li
Ahmed Abbasi
Marko Zivkovic

MIS Quarterly

2025

From Policy to Practice: Research Directions for Trustworthy and Responsible Artificial Intelligence "By Design"

Ramayya Krishnan
John Lalor
Nicolas Prat
Ahmed Abbasi

IEEE Intelligent Systems

Sept-Oct

2025

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices

Ruiyang Qin
Dancheng Liu
Ahmed Abbasi
Jinjun Xiong
Yiyu Shi

ACM Transactions on Design Automation of Electronic Systems

2025

View All Publications

Presentations

Cultural Artifacts, Tribal Heterogeneity, and Language Models, ISOM Research Seminar, Emory University (2026)
Technology, Design, and Information Systems, AIS SIG TECH (2025)
From Lexicons to Large Language Models: A Holistic Evaluation of Psychometric Text Analysis in Social Science Research, Invited Seminar, Saudi AIS (2025)
From Lexicons to Large Language Models: A Holistic Evaluation of Psychometric Text Analysis in Social Science Research, Invited Seminar, AIS SIG DITE (2025)
From Policy to Practice: Research Directions for Trustworthy and Responsible AI ‘By Design', AOM CTO PDW on Design Research on Artificial Intelligence, Copenhagen (2025)
From Lexicons to Large Language Models: A Holistic Evaluation of Psychometric Text Analysis in Social Science Research, DOIT IS Seminar Series, Smith School of Business, University of Maryland (2025)
From Lexicons to Large Language Models: Advancements in How We Analyze and Represent Unstructured Textual Data, AI in Business Education Summit, Raymond A. Mason School of Business, College of William and Mary (2025)
From Lexicons to Large Language Models: A Holistic Evaluation of Psychometric Text Analysis in Social Science Research, ISTM Research Seminar, School of Business, George Washington University (2025)
From Lexicons to Large Language Models: A Holistic Evaluation of Psychometric Text Analysis in Social Science Research, ISOM Research Seminar, Foster School of Business, University of Washington (2025)
From Policy to Practice: Research Directions for ‘Responsible AI By Design’, Workshop on Information Technologies and Systems (WITS 2024) (2024)
The Critical Challenge of Using Large-scale Digital Experiment Platforms for Scientific Discovery, ITM Research Seminar, Scheller College of Business, Georgia Tech (2024)
Data Science Research in an AI-Enabled World, Invited Keynote, INFORMS Workshop on Data Science (2024)
The Critical Challenge of Using Large-scale Digital Experiment Platforms for Scientific Discovery, Invited Elite Speaker Seminar Series, Department of ISBA, Iowa State University (2024)
The Critical Challenge of Using Large-scale Digital Experiment Platforms for Scientific Discovery, Invited IS Research Seminar, Department of ISOM, HKUST (2024)
Neural Architecture Search and Generative Pre-trained Models, Invited Seminar, Department of Computer Science, Columbia University (2024)
A Journey Towards Human-centered AI, University Chair Public Lecture, Mendoza College of Business, University of Notre Dame (2024)
AI Use in Business Research, Biz AI Conference, Naveen Jindal School of Management, University of Texas at Dallas (2024)
How has Generative AI Affected Education, Research, and Practice, Eller MIS 50th Anniversary Conference, Eller College of Management, University of Arizona (2024)
The Challenge of Using Large-scale Digital Experiment Platforms for Scientific Discovery, ISOM Research Workshop, Warrington College of Business, University of Florida (2024)
The Challenge of Using Large-scale Digital Experiment Platforms for Scientific Discovery, MIS Research Seminar, Daniels School of Business, Purdue University (2024)
AI for Social Good, Ten Years Hence Lecture, Mendoza College of Business, University of Notre Dame (2024)
The Challenge of Using Large-scale Digital Experiment Platforms for Scientific Discovery, Research Seminar Presentation, AI Lab and Eller College of Management, University of Arizona (2024)
Using Deep Learning to Model and Forecast Water Temperature, Invited Speaker Series, Fu Foundation School of Engineering and Applied Science, Columbia University (2023)
The Challenge of Using Large-scale Digital Experiment Platforms for Scientific Discovery, Research Seminar Presentation, Questrom School of Business, Boston University (2023)
The Relation Between Supervised Pre-training and In-context Reinforcement Learning, Invited Research Seminar, Department of Industrial Engineering and Operations Research, Columbia University (2023)
The Challenges of Using Large-scale Digital Experiment Platforms for Scientific Discovery, WSB Analytics Seminar Series, Wisconsin School of Business, University of Wisconsin-Madison (2023)
Should Fairness be a Metric or a Model? A Case for Using Model-based Frameworks to Assess Bias in Machine Learning, NSF Workshop on AI Governance, University of Florida (2023)
A Deep Learning Artifact for Text-based Measurement of Personality, FoRMLA Seminar Series, Leeds School of Business, University of Colorado at Boulder (2023)
User and Session Heterogeneity in Large-scale Digital Experiments – Implications for Research and Practice, Kelley School of Business, Indiana University (2022)
Examining User Heterogeneity in Digital Experiments, eBay (2022)
Examining the Interplay Between Algorithmic and Psychological Perspectives on Facial Recognition, W.P. Carey School of Business, Arizona State University (2021)
Predictive Analytics: From Possible and Practical to Valuable, Society for Information Management – Advanced Practices Council (SIM APC) (2021)
Developing a Research Program in Human-centered AI, Invited Keynote, AI & Analytics Symposium (2021)
Getting Personal: A Deep Learning Artifact for Text-based Measurement of Leaders' Personalities, University of Illinois at Chicago (2021)
Examining the Interplay Between Algorithmic and Psychological Perspectives on Facial Recognition, School of Business, George Mason University (2020)
Examining the Interplay Between Algorithmic and Psychological Perspectives on Facial Recognition, Tepper School of Business, Carnegie Mellon University (2020)
Developing a Research Program in Human-centered AI, AI Symposium Keynote, Memorial University of Newfoundland (2020)
A Deep Learning Architecture for Psychometric Natural Language Processing, International ACM SIGIR Conference (2020)
A Tale of Two NLP and AI Projects, Lindner School of Business, University of Cincinnati (2020)
The Pendulum has Swung: From Big Data Hubris to AI Hubris, Workshop on Information Technologies and Systems (WITS 2019) (2019)
The Pendulum has Swung: From Big Data Hubris to AI Hubris, ICIS AIS SigPhil (2019)
Spatio-temporal Movement Modeling with Deep Learning, Mendoza College of Business, University of Notre Dame (2019)
UVA Datapalooza Panel on Data and Business Analytics, School of Data Science, University of Virginia (2019)
Spatio-temporal Movement Modeling with Deep Learning, Johnson Graduate School of Management, Cornell University (2019)
Deep Learning for Detecting Adverse Events from Web Search, Research Workshop, Goizueta Business School, Emory University (2019)
Deep Learning for Detecting Adverse Events from Web Search, Fox School of Business, Temple University (2019)
Deep Learning for Detecting Adverse Events from Web Search, Sauder School of Business, University of British Columbia (2019)
Deep Learning for Detecting Adverse Events from Web Search, Beedie School of Business, Simon Fraser University (2019)
The Phishing Funnel Model: Predicting Susceptibility to Phishing Attacks, Institute for Financial Services Analytics, University of Delaware (2019)
Finding Needles in a Haystack: Deep Learning for Rare Adverse Event Detection, Tippie College of Business, University of Iowa (2018)
Text Analytics: The State-of-Art and Applications in Adverse Event Detection, Antai Graduate Summer School, Shanghai Jiaotong University (2018)
Deep Learning for Health Empowerment: Psychometric and Behavior Modeling, Invited Talk, Annual Conference on Data, Information, and Society, Nanjing, China (2018)
A Deep Learning Architecture for Psychometric Natural Language Processing, Digital innovation Workshop, Carroll School of Management, Boston College (2018)
Deep Learning for Health Analytics: Psychometric Natural Language Processing, RH Smith School of Business, University of Maryland (2018)
Behavior Modeling for Cybersecurity: Predicitng Susceptibility to Phishing Attacks, University of Texas, San Antonio (2018)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, Virginia Commonwealth University (2017)
Mobile Analytics: What is your Phone Telling you about your Health?, HealthTech Day, MOYO, Morehouse School of Medicine, Atlanta (2017)
Two Trends in Business Analytics, UVA Datapalooza, Data Science Institute, University of Virginia (2017)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, Professor Lecture Series, Deloitte Consulting, Arlington VA (2017)
Creating and Capturing Business Value through Text and Social Analytics, UVA McIntire Knowledge Continuum, Center for the Management of IT, University of Virginia (2017)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, Pamplin College of Business, Virginia Tech (2017)
Emerging Technolgies - Driving Business Value through Innovation, EY Data Management Round Table, EY FSO Advisory, Ernst & Young, NYC (2017)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, Robinson College of Business, Georgia State University (2017)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, ASU IS Research Workshop, WP Carey School of Business, Arizona State University (2017)
Text Analytics to Support Sense-making in Social Media; A Language-Action Perspective, Research Seminar Series, Fox School of Business, Temple University (2017)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, Research Seminar Series, Cox School of Business, Southern Methodist University (2016)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, MIS Research Center, Carlson School of Management, University of Minnesota (2016)
Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective, Special Guest Speaker Seminar, Department of Computer Science, University of Virginia (2016)
Large-scale Medical Informatics for Patient Care Coordination and Engagement, Data Science Institute Board Meeting, University of Virginia (2016)
ISI Research: Data Collection is Half the Battle, IEEE ISI 2016, Tucson (2016)
Socio-Technical Predictive Analytics for Cybersecurity: A People, Process, and Technology Perspective, IEEE ISI 2016, Tucson (2016)
Socio-Technical Predictive Analytics for Cybersecurity: A People, Process, and Technology Perspective, UVA Datapalooza, Data Science Institute, University of Virginia (2016)
The Phishing Funnel Model: A Design Artifact for Understanding and Predicting User Susceptibility to Phishing Websites, MIS Speaker's Series, Eller College of Management, University of Arizona (2016)
Don't Mention It? An Empirical Analysis of User-generated Content Signals for Early Adverse Drug Event Warnings, Research Seminar Series, David Eccles School of Business, University of Utah (2015)
Don't Mention It? An Empirical Analysis of User-generated Content Signals for Early Adverse Drug Event Warnings, IS Seminar Series, Naveen Jindal School of Management, UT-Dallas (2015)
Big Data in Information Systems Research: A Value Chain Perspective, Antai Graduate Summer School, Shanghai Jiaotong University (2015)
Twitter Sentiment Analysis: #TheStateoftheArt, Leeds Business Analytics Conference, Leeds School of Business, University of Colorado (2014)
Predictive Analytics for Anti-Phishing, Classroom to Boardroom Speaker Series, Deloitte Consulting, Arlington VA (2014)
Predictive Analytics for Anti-Phishing, UVA McIntire Knowledge Continuum, University of Virginia (2014)
Social Media Analytics: From Reactive to Proactive, UVA McIntire Knowledge Continuum, University of Virginia (2013)
The Phishing Funnel: Understanding and Predicting User Susceptibility to Phishing Website Attacks, Carlson School of Management, University of Minnesota (2012)
Social Media Analytics, MIS Research Ctr Speaker Series, Carlson School of Management, University of Minnesota (2012)
Fake Website Detection: Tools, Techniques, and Applications Domains, Lubar School of Business Research Seminar Series, University of Wisconsin-Milwaukee (2009)
Fake Website Detection, The Big Ten IS Symposium, Bloomington, IN (2009)
Stylometric Identification in Electronic Markets: Scalability and Robustness, Pamplin College of Business, Virginia Tech (2008)
Stylometric Identification in Electronic Markets: Scalability and Robustness, Culverhouse School of Commerce, University of Alabama (2007)
Stylometric Identification in Electronic Markets: Scalability and Robustness, Michigan State University (2007)
Writeprints: Stylometrics Identification and Similarity Detection in Cyberspace, School of Information Studies, Syracuse University (2007)
Affect and Sentiment Analysis of Web Discourse, ITIC/CIA Knowledge Discovery and Dissemination (KDD) PI Workshop, MITRE, McLean, VA (2005)

Awards

Distinguished Member Award, ACM (2025)
Distinguished Fellow Award, INFORMS ISS (2025)
Notre Dame All-Faculty Team Award, University of Notre Dame (2025)
Mendoza Mission Research Award, University of Notre Dame (2025)
Best Student Paper Runner-up, INFORMS Workshop on Data Science (2025)
Elected President, WITS, Workshop on Information Technologies and Systems (2025)
MSBA Teaching Award, University of Notre Dame (2024)
James Dincolo Research Award, University of Notre Dame (2023)
INFORMS ISR Best Paper Award, INFORMS (2022)
Elected Chair, INFORMS College on AI, INFORMS (2021)
Kemper Faculty Award, The Kemper Foundation (2021)
Finalist, AMA Hunt-Maynard Award, American Marketing Association (2021)
INFORMS Design Science Award, INFORMS IS Society (2019)
IEEE Technical Achievement Award, IEEE SMC and ITSS Societies (2018)
Best Prototype Award, Workshop on Information Technologies and Systems (WITS) (2016)
Best Paper Award, Workshop on Information Technologies and Systems (WITS) (2015)
IBM Faculty Award (2014)
AIS Best Publication Award, AIS (2010)
Best Paper Award, Workshop on Information Technologies and Systems (WITS) (2010)
MIS Quarterly Best Paper Award, MISQ (2010)
Eller College Dean's Award for Research, University of Arizona (2008)
Eller College Dean's Award for Teaching, University of Arizona (2008)

Grants

Enabling the Next Generation of Behavior Informatics with GenAI and Edge Robotics, iNDustry Labs, $100,000
Workshop on Information Systems for Disaster Response Management (WIS-DRM), National Science Foundation , $49,995
Machine Learning Methods for Causal Inference in Digital Experimentation Platforms, eBay, $150,000
NLP for Social Good, Oracle for Research, $100,000
Social Media Based Analysis of Adverse Drug Events: User Modeling, Signal Reliability, and Signal Validation, National Science Foundation, $230,000
Large-scale Medical Informatics for Patient Care Coordination and Engagement, National Science Foundation, $1,000,000
Full-stack Cybersecurity: Integrating Analytics, System Responsiveness, and the Human, University of Virginia 3Cavs Program, $60,000
New Abstractions and Applications for Automata Computing, National Science Foundation, $875,000
Psychometric NLP for Patient Care and Coordination, Microsoft Research, $25,000
CRUFS: A Unified Framework for Social Media Analysis of Adverse Drug Events, National Science Foundation, $250,000
DIBBs for Intelligence and Security Informatics Research Community, National Science Foundation, $150,000
Big Data in Business – Educate, Explore, Engage, and Execute, IBM, $20,000
Computational Public Drug Surveillance, National Science Foundation, $156,057
Large-scale Sentiment Analysis of Social Media, AWS Research, $5,000
A User-Centric Approach to the Design of Intelligent Fake Website Detection Systems, National Science Foundation, $280,173
Explosives and IEDs in the Dark Web: Discovery, Categorization, and Analysis, National Science Foundation, $797,447
Online Stylometric Authorship Identification: An Exploratory Study, National Science Foundation, $75,000

Media

Arizona Daily Star, UA Team Out to Expose Phishers:
https://tucson.com/business/local/article_293b3d70-bc8e-5208-8ecf-c7885248cd6b.html (2011)
CBS This Morning, How Americans Feel About Automation:
https://www.youtube.com/watch?v=jWdUKPxr9nY (2017)
Fox News, Researchers Try to Track Drug Reactions using Social Media:
https://www.foxnews.com/health/researchers-try-to-track-drug-reactions-using-social-media (2012)
Mendoza News and Events, Ahmed Abbasi honored as INFORMS (ISS) Fellow
https://mendoza.nd.edu/news/notre-dames-ahmed-abbasi-honored-as-informs-distinguished-fellow/ (2025)
Mendoza News and Events, Ahmed Abbasi named to Notre Dame All-Faculty Team
https://mendoza.nd.edu/news/ahmed-abbasi-named-to-notre-dame-all-faculty-team/ (2025)
Mendoza News and Events, Ahmed Abbasi named ACM Distinguished Member
https://mendoza.nd.edu/news/ahmed-abbasi-named-acm-distinguished-member/ (2026)
ND Research, Path to Purpose: Ahmed Abbasi Explores the Interface of AI and Humanity:
https://research.nd.edu/news/path-to-purpose-ahmed-abbasi-explores-the-interface-of-ai-and-humanity/ (2021)
Phys Org, Researchers Detect Fraud with Highest Accuracy to Date:
https://phys.org/news/2012-09-fraud-highest-accuracy-date.html (2012)
Science Daily, Sifting Social Media for Early Signs of Adverse Drug Reactions:
https://www.sciencedaily.com/releases/2012/09/120921111034.htm (2012)
The Associated Press, Profs Aim to Track Drug Reactions via Social Media:
https://www.mprnews.org/story/2012/10/04/health-social-media-medicine (2012)
The Wall Street Journal, Mining the Internet for Speedier Alerts on Drugs:
https://www.wsj.com/articles/SB10000872396390443982904578044440117124454 (2012)
United Press International, System Said to Detect Fake Websites:
https://www.upi.com/Science_News/2011/07/26/System-said-to-detect-fake-Web-sites/96971311713729/?ur3=1 (2011)
UVA Today, Professor will Probe Cybersecurity Breaches:
https://news.virginia.edu/content/mcintire-professor-will-probe-cybersecurity-breaches-several-angles (2015)
UVA Today, McIntire Faculty Tackle Today’s Big Questions:
https://news.virginia.edu/content/mcintire-faculty-tackle-todays-big-questions-10-minute-ted-style-talks (2017)
Whistle Blower Central, MetaFraud: SEC Droid we’re Looking For?
https://community.corporatecompliance.org/communities/community-home/digestviewer/viewthread?GroupId=97&MID=15471 (2012)
WINA Podcast, Crowdsourcing Cybersecurity:
https://wina.com/podcasts/ahmed-abbasi/ (2015)
WIRED, Americans Love Automation Until It Comes For Their Jobs:
https://www.wired.com/story/americans-love-automation-when-it-costs-someone-else-a-job/ (2017)