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Vibha Gupta is currently a Postdoctoral researcher at the University of Gothenburg, focusing on multimodal deep learning methods in medical imaging and ECG analysis. Her research interests include the integration of simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) for understanding cognitive processes, as well as the development of deep learning techniques for predictive modeling in cardiovascular health. With a dedication to advancing healthcare technology, Gupta has co-authored multiple papers that explore the applications of machine learning in detecting acute myocardial infarctions and in understanding the complexities of cardiac arrest outcomes. Her work emphasizes the importance of using advanced algorithms and data analytics to enhance diagnostic accuracy and patient management in cardiology. Gupta holds a strong commitment to collaborative research that involves cross-institution studies and multi-center validations, ensuring broader applicability of her findings in the clinical settings. Her academic endeavors aim to bridge gaps between statistical learning, experimental data, and practical healthcare applications, ultimately leading to improved patient care practices and health outcomes.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).