Keynote Speakers

Dr. Ronald Summers is a Senior Investigator and Staff Radiologist at the NIH Clinical Center, where he directs the Imaging Biomarkers and Computer-Aided Diagnosis (CAD) Laboratory. A pioneer in the application of artificial intelligence to radiology, his research focuses on deep learning for lesion detection, segmentation, and the development of large-scale radiologic image databases.

Dr. Asma Ben Abacha is a Senior Scientist at Microsoft Health AI, specializing in medical Natural Language Processing (NLP) and multi-modal AI. She has been a driving force behind the evaluation of large-scale biomedical AI, having organized major international challenges such as VQA-Med (Visual Question Answering in Radiology) and MEDIQA. Her research focuses on bridging the gap between vision and language in healthcare, including work on radiology report generation, medical question answering, and clinical text summarization using advanced foundation models.

Dr. Debesh Jha is an Assistant Professor of Computer Science at the University of South Dakota and a leading researcher in AI for medical imaging. His work specializes in developing robust deep learning architectures for medical image segmentation and disease detection. He has curated several widely used open-access medical datasets, including Kvasir-SEG and PolypGen, which serve as critical benchmarks for training and evaluating computer vision models in biomedicine.

Dr. Amin Beheshti is a Full Professor of Data Science and the Director of the Centre for Applied Artificial Intelligence at Macquarie University. He leads the Big Data Society and focuses on "AI-enabled processes," exploring how data analytics and intelligence can be applied to solve complex real-world problems. His work in Data Science and Applied AI provides a critical perspective on the infrastructure, data curation, and process mining required to deploy and manage large-scale AI systems in sensitive domains like healthcare and biology.