Mohit Prabhushankar

Mohit Prabhushankar is a Research Fellow at the Georgia Institute of Technology's Department of Electrical and Computer Engineering, part of the College of Engineering. His work focuses on machine learning, computer vision, and explainable AI with applications in medical imaging, seismic interpretation, and uncertainty quantification. He has contributed to developing algorithms for active learning, self-supervised learning, and robust model evaluation.

Research interests include hierarchical multimodal systems, counterfactual explanations, and domain adaptation in geoscience applications. His recent work addresses challenges in interpretability metrics, active learning strategies, and biomedical data analysis through projects like the OLIVES dataset for ophthalmic biomarkers and CRACKS for subsurface fault analysis.

Publications span topics from action anticipation in robotics to neural network dynamics, emphasizing practical applications of AI in geoscience and healthcare. His research bridges theoretical advancements with real-world deployment considerations through frameworks like gradient-based anomaly detection and deployable clinical active learning systems.

No scientific awards or grants are explicitly listed in available materials. Advising activities and student collaborations remain undocumented in the provided content.