معرفی
Haimonti Dutta is an Associate Professor in the Department of Management Science and Systems at the University at Buffalo School of Management. Her research focuses on machine learning, distributed inference, optimization, and large-scale computing with applications in healthcare informatics, electrical grid analysis, and cultural heritage technology.
She holds a PhD and has contributed to projects involving clinical data analysis (e.g., predicting hospital stays using EHRs), fraud detection in financial reporting, and developing recommendation systems for folk art. Her work integrates distributed algorithms and graph neural networks to solve real-world problems in edge computing and healthcare.
Her research outputs span topics like consensus-based machine learning, data cleaning during pandemics, and optimizing neural network training through creative architectures. Despite no listed awards, her extensive publications reflect impactful contributions to interdisciplinary computational methods.
