published research entries
Associate Professor | University of Wisconsin-Whitewater
Responsible analytics for complex decisions in health, education, and digital platforms.
I study machine learning, explainable AI, predictive analytics, health analytics, privacy in social media, and technology addiction.
Profile
Associate Professor of IT & Supply Chain Management
College of Business and Economics, University of Wisconsin-Whitewater.
core research interests
academic profile links
Research
Published Research
A complete publication list from the current site, organized as a modern research index with search and topic filters.
Designing Transparent, Equitable, and Efficient Decision Support Systems for Drug Courts Using Machine Learning
Zolbanin, H., Davazdahemami, B., Delen, D.
DOIExplain, Embed, Retrieve, and Reason (E2R2): A SHAP-Informed LLM Framework for Decision Support
Davazdahemami, B., Zolbanin, H., Delen, D.
Developing an Interpretable Decision Support Framework for Artifact Design in Organ Transplantation
Topuz, K., Abdulrashid, I., Davazdahemami, B., Delen, D.
DOIGenerative AI-enhanced interventions: a novel framework for predicting and mitigating freshman student attrition
Davazdahemami, B., Delen, A., Delen, D.
DOIRevitalizing Scholarly Compass: Harnessing GPT-Powered Automation for Dynamic Aims and Scope Evolution in Academic Journals
Davazdahemami, B., Zolbanin, H., Zadeh, A.
AIS eLibraryA Bayesian Belief Network-based Analytics Methodology for Early-Stage Risk Detection of Novel Diseases
Topuz, K., Davazdahemami, B., Delen, D.
DOIPredicting and Mitigating Freshmen Student Attrition: A Local-Explainable Machine Learning Framework
Delen, D., Davazdahemami, B., Rasouli, E.
SpringerA Developer-Oriented Recommender Model for the App Store: A Predictive Network Analytics Approach
Davazdahemami, B., Kalgotra, P., Zolbanin, H., Delen, D.
DOIA Machine Learning Framework for Assessing the Risk of Venous Thromboembolism in Patients Undergoing Hip or Knee Replacement
Rasouli, E., Delen, D., Zhao, H., Davazdahemami, B.
Deep Learning with Minimal Coding Effort: A Tutorial on Theory and Implementation of Deep Artificial Neural Networks
Davazdahemami, B., Zolbanin, H., Delen, D.
AIS eLibraryAn Explanatory Machine Learning Framework for Studying Pandemics: The Case of COVID-19 Emergency Department Readmissions
Davazdahemami, B., Zolbanin, H.M., Delen, D.
An explanatory analytics for early detection of chronic risk factors in pandemics
Davazdahemami, B., Zolbanin, H.M., Delen, D.
LinkA deep learning approach for predicting early bounce-backs to the emergency departments
Davazdahemami, B., Peng, P., Delen, D.
LinkMiscommunication in the Age of Communication: A Crowdsourcing Framework for Symptom Surveillance at the Time of Pandemics
Zolbanin, H.M., Hassan Zadeh, A., Davazdahemami, B.
A Novel Diffusion-Based Approach to Estimating Cases, Hospitalizations, and Fatalities in Epidemics: The Case of COVID-19
Eryarsoy, E., Delen, D., Davazdahemami, B., Topuz, K.
Adjusting COVID-19 Reports for Age Disparities: A Framework for Transferring Knowledge between Affected Countries and Comparing their Reporting Performances
Eryarsoy, E., Davazdahemami, B., Delen, D.
medRxivFrom General to Situational Privacy Concerns: A New Mechanism to Explain Information Disclosure in Social Networks
Davazdahemami, B., Hammer, B., Kalgotra, P., Luse, A.
DOINo Place like Home: Cross-National Data Analysis of the Efficacy of Social Distancing during the COVID-19 Pandemic
Delen, D., Eryarsoy, E., Davazdahemami, B.
DOIData analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases
Zolbanin, H.M., Davazdahemami, B., Delen, D., Zadeh, A.H.
Using Predictive Analytics to Identify Drug-Resistant Epilepsy Patients
Delen, D., Davazdahemami, B., Eryarsoy, E., Tomak, L., Valluru, A.
Examining the Effect of Prescriptions Sequence on Developing Adverse Drug Reactions: The Case of Renal Failure in Diabetic Patients
Davazdahemami, B., Delen, D.
The confounding role of common diabetes medications in developing acute renal failure: A data mining approach with emphasis on drug-drug interactions
Davazdahemami, B., Delen, D.
The Role of Parallelism in Resolving the Privacy Paradox of Information Disclosure in Social Networks
Davazdahemami, B., Hammer, B., Luse, A., Kalgotra, P.
AIS eLibraryA Chronological Pharmacovigilance Network Analytics Approach for Predicting Adverse Drug Events
Davazdahemami, B., Delen, D.
LinkTraining, Self-Efficacy, and Performance: A Replication Study
Davazdahemami, B., Luse, A., Scheibe, K., Townsend, A.
Addiction to mobile phone or addiction through mobile phone?
Davazdahemami, B., Hammer, B., Soror, A.
An Integrated Artificial Neural Network Approach for Predicting Internet Penetration Rate
Azadeh, A., Davazdahemami, B.
A Mathematical Model and Two Genetic Algorithms for Balancing Mixed-Model Two-Sided Assembly Lines with Multifunctional Workers Assignment
Rabbani, M., Davazdahemami, B., Manavizadeh, N.
Teaching
Analytics, AI, programming, and information systems courses
University of Wisconsin-Whitewater
Introduction to MIS, Data Mining, Programming for Business Applications, Supply Chain Analytics, Visual Analytics, Data Analytics and Business Intelligence, Programming for Analytics, and DBA research methods.
Oklahoma State University
Operations Management, Prescriptive Analytics, and Management Decision Theories.
Teaching interests
Business analytics, artificial intelligence, programming, operations management, data visualization, database management, and introductory IS courses.
Experience
Academic leadership, editorial service, and industry experience
Associate Professor
Department of IT & Supply Chain Management, University of Wisconsin-Whitewater.
Associate Editor
Journal of Business Analytics and Frontiers in Artificial Intelligence, AI in Business section.
Associate Editor
BMC Medical Informatics and Decision Making.
Graduate Teaching Associate
MSIS Department, Spears School of Business, Oklahoma State University.
Industry Roles
Commercial management, executive management, production planning, project planning, and project management roles.
Awards
Honors and grants
UW-Whitewater CoBE Summer Research Grant 2025
UW-Whitewater Teaching and Learning Grant 2024
UW-Whitewater Teaching and Learning Grant 2023
UW-Whitewater College of Business and Economics Research Award 2022
Phillips Doctoral Dissertation Fellowship Award 2019 and 2018
Full Ph.D. tuition waiver and Conoco Phillips Ph.D. fee waiver, OSU, 2014-2019
OSU Graduate College Top Tier Fellowship
Ranked 31st nationally in Iran's Central Graduate Studies Entrance Examination, Industrial Engineering, 2009
Contact
Let us connect
3410 Hyland Hall, Department of IT and Supply Chain Management, College of Business and Economics, University of Wisconsin-Whitewater.
