0000-0001-8076-1472 About
Kaushik Dutta has 22 years of professional and research experience in the field of enterprise IT infrastructure, data analytics and big data systems. He is professor in and chair of the School of Information Systems and Management. His current research interest is big data analytics. Dutta's primary expertise combines operations research and data mining techniques with computer science systems knowledge to efficiently handle big data and manage large IT infrastructure. He has been the mentor of two startups out of USF in the NSF-iCorps program.
Prior to joining USF, Dutta was a tenured associate professor at National University of Singapore and Florida International University. Before starting out on his academic path, he pursued a career in engineering, most recently as the chief technology officer and vice president of engineering of Mobilewalla, a NUS-incubated and Madrona-funded company that developed big-data-based mobile advertisement platforms.
Dutta earned a PhD in management information systems from the Georgia Institute of Technology and a master's degree in computer science from the Indian Statistical Institute. He received a bachelor's degree in electrical engineering from Jadavpur University.
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Publications (165)
- General Education in the Age of Artificial Intelligence: Assessing Student Judgment Beyond the Final Product Save
- EGIVE (Efficient Global Interaction and Variable Explainability): A fast and comprehensive method for global interpretability analysis of black-box models Save
- Responsible AI and Data Science for Social Good Save
- Code and Data Repository for Social Network Prediction Problems: Using Meta-Paths and Dynamic Heterogeneous Graph Representation for Label Propagation Save
- Social Network Prediction Problems: Using Meta-Paths and Dynamic Heterogeneous Graph Representation for Label Propagation Save
- What are patients watching online? Using recommender systems and large language models to discover temporal viewership patterns in maternal health Save
- Usability of Health Care Price Transparency Data in the United States: Mixed Methods Study Save
- A Mobile Health Behavior Change Intervention for Women With Coronary Heart Disease: A RANDOMIZED CONTROLLED PILOT STUDY Save
- Usability of Health Care Price Transparency Data in the United States: Mixed Methods Study (Preprint) Save
- Code and Data Repository for An LSTM+ Model for Managing Epidemics: Using Population Mobility and Vulnerability for Forecasting COVID-19 Hospital Admissions Save