Syed Ahmad Chan Bukhari

Assistant Professor
Postdoctorate , Biomedical Informatics , Yale UniversityPhD, Computer Science, University of New Brunswick
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 completed his postdoctoral fellowship at Yale University. He was also a core research team member at CEDAR Metadata Center, Stanford University.

With the Stanford team, he studied scientific experimental reproducibility and completed several projects to improve biomedical data FAIRness and reproducibility. Dr. Bukhari received NIH (ORISE) NCBI fellowship in 2016 to work at National Center for Biotechnology Information (NCBI), Bethesda. Dr. Bukhari developed protocols and pipelines (MiAIRR, CAIRR, and CEDAR-to-NCBI ) for the standardized authoring, validating, and submitting scientific data to the NCBI repositories with NCBI Scientists. His developed resources are now considered de facto resources for several biomedical communities such as AIRR-C & Antibody society.

At St. John's University, he teaches healthcare Informatics and computer science to graduate and undergrad students. His current research efforts focus on addressing several core problems in healthcare informatics and data science. Dr. Bukhari has received multiple internal and external grants to support his research efforts. His lab (bukharilab.org) has recently received an NSF grant to work on biomedical content authoring and structured publishing.

Read Dr. Bukhari research work at Google Scholar: https://scholar.google.com/citations?user=JhWJ5PEAAAAJ&hl=en

Lab Website: bukharilab.org

Awards and Honors
★ ACM Distinguished Speaker
★ Senior Member IEEE
★ Co-Chair ACM New York Metro Healthcare Informatics
★ NIH-NCBI Fellow 2016
★ Recipient of IEEE Technological Innovation Award 2019



Teaching Interests

○ Healthcare Informatics
○ Healthcare Data Standards and Vocabularies
○ Database Management Systems for Healthcare
○ Software Development

Research Interests

◘ Biomedical and Health informatics
◘ Semantic Web and NLP
◘ Machine Learning
◘ Biomedical Information Retrieval


Courses Taught

CUS
1156
SOFTWARE DESIGN METHODS
CUS
1163
OPERATING SYSTEMS
CUS
1165
DATA BASE MANAGEMENT SYSTEMS
HCI
520
MEDICAL & HEALTH INFORMATICS
HCI
1001
INTRO HEALTHCARE INFORMATICS
HCI
1002
HEALTHCARE INFO & DATA MGT
HCI
1015
DATA STANDARDS/VOCAB IN HLTHCR
HCI
1021
HEALTHCARE DATABASE MGT SYS

Select Publications

Journal Articles

Bukhari, S. A., Mart\'\inez-Romero, Marcos, , O’Connor, M. J., Egyedi, A. L., Willrett, D., Graybeal, J., Musen, M. A., Cheung, K., and Kleinstein, S. H. (2018). CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata. BMC bioinformatics. vol. 19, pp. 268.

Bukhari, S. A., O’Connor, M. J., Mart\'\inez-Romero, Marcos, , Egyedi, A. L., Willrett, D., Graybeal, J., Musen, M. A., Rubelt, F., Cheung, K., and Kleinstein, S. H. (2018). The CAIRR pipeline for Submitting Standards-compliant B and T cell Receptor Repertoire Sequencing Studies to the national center for Biotechnology Information Repositories. Frontiers in Immunology. vol. 9, pp. 1.

Rubelt, F., Busse, C. E., Bukhari, S. A., B\"urckert, Jean-Philippe, , Mariotti-Ferrandiz, E., Cowell, L. G., Watson, C. T., Marthandan, N., Faison, W. J., Hershberg, U., and others, (2017). Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data. Nature immunology. vol. 18, pp. 1274.

Keywords:
  • Biomedical Informatics
  • Artificial Intelligence
  • Semantic Web
  • Data Science
  • Medical Image Processing