Bukhari Lab is the Biomedical Informatics and Health Data Science Research Group at St. John's University. The lab’s research interests are Artificial Intelligence, Biomedical Informatics, Natural Language processing, and Semantic Web.
Dr. Bukhari is an Assistant Professor and Director of Healthcare Informatics at St. John's University, New York. He received his Ph.D. in Computer Science from the University of New Brunswick, Canada, and then went on to complete his postdoctoral fellowship at Yale School of Medicine, where he worked with Stanford University, Center of Expanded Data Annotation and Retrieval (CEDAR) to develop data submission pipelines to improve scientific experimental reproducibility. His current research efforts are concentrated on addressing several core problems in healthcare informatics and data science. He mainly focuses on devising techniques to semantically confederate heterogeneous biomedical data and develop Artificial Intelligence-based predictive models for clinical outcomes. These techniques also alleviate many data access-related challenges faced by healthcare providers. Dr. Bukhari is a senior IEEE member and a distinguished ACM speaker who serves as an editorial board member of multiple scientific journals. In September 2019, he was awarded the IEEE Technological Innovation Award. His research work has been published in top-tier journals and picked by various scientific blogs and international media.
Information to come.
Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach
A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing
A hybrid query expansion framework for the optimal retrieval of the biomedical literature
Towards structured biomedical content authoring and publishing