Ahmed Abbasi
Joe and Jane Giovanini Professor of IT, Analytics, and Operations; Academic Director of the Ph.D. Program in Analytics
IT, Analytics, and Operations
574-631-5212
360 Mendoza College of Business
- Biography
- Background
- Publications
- Presentations
- Awards
- Grants
- Media
Ahmed Abbasi is the Joe and Jane Giovanini Professor of IT, Analytics, and Operations. He serves as Director of the Analytics Ph.D. program and Co-Director of the Human-centered Analytics Lab (HAL). 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. His research interests relate to text and predictive analytics. Ahmed has published over one hundred articles in journals and conferences, including several in top-tier outlets such as MIS Quarterly, Information Systems Research (ISR), Journal of MIS, ACM TOIS, IEEE TKDE, IEEE Intelligent Systems, ACL, EMNLP, and NAACL. He 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 funded by over a dozen grants from the National Science Foundation and industry partners such as AWS, Microsoft, eBay, Deloitte, and Oracle. He has also received the IEEE Technical Achievement Award, INFORMS Design Science Award, IBM Faculty Award, and Kemper Professor Award for his work on human-centered AI. Ahmed’s 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 Senior Editor for ISR and Associate Editor for ACM TMIS and IEEE Intelligent Systems, and was a past Chair of the INFORMS College on AI.
Education
Ph D, Artificial Intelligence Lab, Eller College of Management, University of Arizona
MS, Operations Research, Columbia University
MBA, Pamplin College of Business, Virginia Tech
BS, IT & Management Science, Virginia Tech
Editorial Boards
Senior Editor
Information Systems Research
January 1, 2018
Information Systems Research
January 1, 2018
Associate Editor
IEEE Intelligent Systems
January 1, 2014
IEEE Intelligent Systems
January 1, 2014
Associate Editor
ACM Transactions on Management Information Systems
January 1, 2013
ACM Transactions on Management Information Systems
January 1, 2013
Associate Editor
Decision Sciences Journal
January 1, 2015 - December 31, 2017
Decision Sciences Journal
January 1, 2015 - December 31, 2017
Associate Editor
Information Systems Research
January 1, 2015 - December 31, 2017
Information Systems Research
January 1, 2015 - December 31, 2017
Editorial Board Member
Journal of the AIS
January 1, 2014 - 2017
Journal of the AIS
January 1, 2014 - 2017
"Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews", (With Ruiyang Qin, Ryan Cook, David Dobolyi, Gari Clifford), ACM Transactions on MIS, 2024
"Pathways for Design Research on Artificial Intelligence", (With Jeffrey Parsons, Gautam Pant, Olivia Sheng, Suprateek Sarker), Information Systems Research, 2024
"Preparedness and Response in the Century of Disasters: Overview of Research Frontiers", (With Gautam Pant, Jeffrey Parsons, Olivia Sheng, Suprateek Sarker), Information Systems Research, 2024
"Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns", (With Zifan Jiang, Salman Seyedi, Emily Griner, Robert Cotes, Gari Clifford), IEEE Journal of Biomedical and Health Informatics
"Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning", (With John Lalor, Yi Yang, Kezia Oketch, Nicole Forsgren), ACM Transactions on Information Systems
"Timely, Granular, and Actionable: Designing a Social Listening Platform for Public Health 3.0", (With Brent Kitchens, Jennifer Claggett), MIS Quarterly - Accepted (awaiting publication)
"Getting Personal: A Deep Learning Artifact for Text-based Measurement of Personality", (With Kai Yang, Raymond Lau), Information Systems Research, 34, 2023
"Deep Learning for Adverse Event Detection from Web Search", (With Faizan Ahmad, Brent Kitchens, Donald Adjeroh, Daniel Zeng), IEEE Transactions on Knowledge and Data Engineering, 34, 2022
"The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites", (With David Dobolyi, Anthony Vance, Fatemeh Zahedi), Information Systems Research, 2021
"Trust Calibration of Security IT Artifacts: A Multi-Domain Study of Phishing-Website Detection Tools", (With Yan Chen, Fatemeh Zahedi, David Dobolyi), Information and Management, 2021
"A Deep Learning Architecture for Psychometric Natural Language Processing", (With F Ahmad, J Li, David Dobolyi, R Netemeyer, G Clifford, H Chen), ACM Transactions on Information Systems, 38, 2020
"Health Literacy, Health Numeracy and Trust in Doctor: Effects on Key Consumer Health Outcomes", (With R Netemeyer, David Dobolyi, G Clifford, H Taylor), Journal of Consumer Affairs, 54, 2020
"Path to Purpose? How Online Customer Journeys Differ for Hedonic versus Utilitarian Purchases", (With Jingjing Li, Amar Cheema, Linda Abraham), Journal of Marketing, 84, 2020
"TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge through Ontology Learning", (With J Li, K Larsen), MIS Quarterly, 44, 2020
"Don't Mention It? Analyzing user-generated Content Signals for Early Adverse Event Warnings", (With J Li, D Adjeroh, M Abate, W Zheng), Information Systems Research, 30, 2019
"The Risks of AutoML and How to Avoid Them", (With Brent Kitchens, Faizan Ahmad), Harvard Business Review, 2019
"Using Discussion Logic in Analyzing Online Group Discussions: A Text Mining Approach", (With S Deng, P Zhang, Y Zhou), Information and Management, 56, 2019
"Advanced Customer Analytics: Strategic Value through Integration of Relationship-Oriented Big Data", (With B Kitchens, David Dobolyi, J Li), Journal of Management Information Systems, 35, 2018
"Text Analytics to Support Sense-making in Social Media: A Language-Action Perspective", (With Y Zhou, S Deng, Zhang P), MIS Quarterly, 42, 2018
"The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation", (With D Zimbra, D Zeng, H Chen), ACM transactions on Management Information Systems, 9, 2018
"Make Fairness By Design Part of Machine Learning", (With J Li, G Clifford, H Taylor), Harvard Business Review, 2018
"Big Data Research in Information systems: Toward an Inclusive Research Agenda", (With S Sarker, R Chiang), Journal of the Association of Information Systems, 17, 2016
"Enhancing Predictive Analytics for Anti-Phishing by Exploiting Website Genre Information", (With F Zahedi, D Zeng, Y Chen, J Nunamaker Jr.), Journal of Management Information Systems, 31, 2015
"Fake-Website Detection Tools: Identifying Design Elements that Promote Individuals' Use and Enhance their Performance", (With F Zahedi, Y Chen), Journal of the Association for Information Systems, 16, 2015
"Predicting Behavior", (With R Lau, D Brown), IEEE Intelligent Systems, 30, 2015
"Predictive Analytics", (With D Brown, R Lau), IEEE Intelligent Systems, 30, 2015
"Predictive Analytics: Predictive Modeling at the Micro Level", (With D Brown, R Lau), IEEE Intelligent Systems, 30, 2015
"Evaluating Text Visualization for Authorship Analysis", (With V Benjamin, W Chung, J Chuang, C Larson, H Chen), Security Informatics, 3, 2014
"Signal Fusion for Social Media Analysis of Adverse Drug Events", (With D Adjeroh, R Beal, W Zheng, M Abate, A Ross), IEEE Intelligent Systems, 29, 2014
"Social Media Analytics for Smart Health", (With D Adjeroh), IEEE Intelligent Systems, 29, 2014
"A Random Walk Model for Item Recommendation in Social Tagging Systems", (With Z Zhang, D Zeng, J Peng, X Zheng), ACM Transactions on Management Information Systems, 4, 2013
"Detecting Fake Medical Web Sites using Recursive Trust Labeling", (With F Zahedi, S Kaza), ACM Transactions on Information Systems, 30, 2012
"MetaFraud: A Meta-learning Framework for Detecting Financial Fraud", (With C Albrecht, A Vance, J Hansen), MIS Quarterly, 36, 2012
"Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers", (With T Fu, D Zeng, H Chen), ACM Transactions on Information Systems, 30, 2012
"Selecting Attributes for Sentiment Classification using Feature Relation Networks", (With S France, Z Zhange, H Chen), IEEE Transactions on Knowledge and Data Engineering, 23, 2011
"Detecting Fake Websites: The Contribution of Statistical Learning Theory", (With Z Zhang, D Zimbra, H Chen, J Nunamaker Jr), MIS Quarterly, 34, 2010
"Intelligent Feature Selection for Opinion Classification", IEEE Intelligent Systems, 25, 2010
"Affect Analysis of Web Forums and Blogs using Correlation Ensembles", (With H Chen, S Thomas, T Fu), IEEE Transactions on Knowledge and Data Engineering, 20, 2008
"CyberGate: A Design Framework and System for Text Analysis of Computer Mediated Communications", (With H Chen), MIS Quarterly, 32, 2008
"Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums", (With H Chen, A Salem), ACM Transactions on Information Systems, 26, 2008
"Stylometric Identifcation in Electronic Markets: Scalability and Robustness", (With H Chen, J Nunamaker Jr), Journal of Management Information Systems, 25, 2008
"Writeprints: A Stylometric Approach to Identity-Level Identification and Similarity Detection in Cyberspace", (With H Chen), ACM Transactions on Information Systems, 26, 2008
"Applying Authorship Analysis to Extremist-Group Web Forum Messages", (With H Chen), IEEE Intelligent Systems, 20, 2005
"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, 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
Award
"MSBA Teaching Award", University of Notre Dame , 2024
"James Dincolo Research Award", University of Notre Dame, 2023
"INFORMS ISR Best Paper Award", INFORMS, 2022
"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 ITS Society, 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 5 Best Publications", 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
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
Arizona Daily Star, UA Team Out to Expose Phishers:
https://tucson.com/business/local/article_293b3d70-bc8e-5208-8ecf-c7885248cd6b.html, September 6, 2011
https://tucson.com/business/local/article_293b3d70-bc8e-5208-8ecf-c7885248cd6b.html, September 6, 2011
CBS This Morning, How Americans Feel About Automation:
https://www.youtube.com/watch?v=jWdUKPxr9nY, October 21, 2017
https://www.youtube.com/watch?v=jWdUKPxr9nY, October 21, 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, October 3, 2012
https://www.foxnews.com/health/researchers-try-to-track-drug-reactions-using-social-media, October 3, 2012
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/, September 14, 2021
https://research.nd.edu/news/path-to-purpose-ahmed-abbasi-explores-the-interface-of-ai-and-humanity/, September 14, 2021
Phys Org, Researchers Detect Fraud with Highest Accuracy to Date:
https://phys.org/news/2012-09-fraud-highest-accuracy-date.html, September 18, 2012
https://phys.org/news/2012-09-fraud-highest-accuracy-date.html, September 18, 2012
Science Daily, Sifting Social Media for Early Signs of Adverse Drug Reactions:
https://www.sciencedaily.com/releases/2012/09/120921111034.htm, September 21, 2012
https://www.sciencedaily.com/releases/2012/09/120921111034.htm, September 21, 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, October 2, 2012
https://www.mprnews.org/story/2012/10/04/health-social-media-medicine, October 2, 2012
The Wall Street Journal, Mining the Internet for Speedier Alerts on Drugs:
https://www.wsj.com/articles/SB10000872396390443982904578044440117124454, October 8, 2012
https://www.wsj.com/articles/SB10000872396390443982904578044440117124454, October 8, 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, July 26, 2011
https://www.upi.com/Science_News/2011/07/26/System-said-to-detect-fake-Web-sites/96971311713729/?ur3=1, July 26, 2011
UVA Today, Professor will Probe Cybersecurity Breaches:
https://news.virginia.edu/content/mcintire-professor-will-probe-cybersecurity-breaches-several-angles, February 16, 2015
https://news.virginia.edu/content/mcintire-professor-will-probe-cybersecurity-breaches-several-angles, February 16, 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, April 28, 2017
https://news.virginia.edu/content/mcintire-faculty-tackle-todays-big-questions-10-minute-ted-style-talks, April 28, 2017
Whistle Blower Central, MetaFraud: SEC Droid we’re Looking For?
https://community.corporatecompliance.org/communities/community-home/digestviewer/viewthread?GroupId=97&MID=15471, September 26, 2012
https://community.corporatecompliance.org/communities/community-home/digestviewer/viewthread?GroupId=97&MID=15471, September 26, 2012
WINA Podcast, Crowdsourcing Cybersecurity:
https://wina.com/podcasts/ahmed-abbasi/, February 17, 2015
https://wina.com/podcasts/ahmed-abbasi/, February 17, 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/, October 17, 2017
https://www.wired.com/story/americans-love-automation-when-it-costs-someone-else-a-job/, October 17, 2017