Research Areas
Machine Learning
He aims to develop cutting-edge AI-driven solutions at the intersection of digital pathology and artificial intelligence that seamlessly translate from research to routine clinical use, ultimately improving patient care and outcomes.
Recent Publications
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
IEEE International Joint Conference on Neural Networks (IJCNN) • 2024