Neuro-symbolic AIDrug discovery
Drug Repurposing for Respiratory Disorders
Combining machine learning with biomedical knowledge to identify promising uses for existing medicines and reveal the evidence behind each candidate.
Explore project →Academic Leader · Researcher · Educator
Syed AhmadChan Bukhari, PhD
Advancing trustworthy artificial intelligence, biomedical informatics, and evidence-centered innovation.
Dr. Bukhari brings together research leadership, education, mentorship, and public engagement to build transparent systems that connect advanced computation with meaningful health impact.
130+Scholarly works
5,350Research citations
33h-index
61i10-index
View Google Scholar profile →
Google Scholar records verified August 4, 2026.
Research direction
From prediction to evidence-backed decisions.
The work centers on AI systems that can be examined, explained, and responsibly used in high-stakes biomedical environments.
Trustworthy Medical Coding
Hierarchy-aware and explainable systems designed to improve clinical coding accuracy while prioritizing fairness, accountability, and privacy.
Health AIKnowledge graphs
Explore project →Biomedical Knowledge Infrastructure
Semantic authoring, metadata standards, and graph-based systems that make scientific content more findable, interoperable, reusable, and trustworthy.
FAIR dataSemantic web
Explore project →Research Philosophy
Better health AI is a function of trust, evidence, and people.
Accuracy is only the beginning. Clinical and biomedical systems must also support transparency, auditability, interoperability, and meaningful human judgment.
Journey and engagement
Research in conversation with people and communities.
Selected moments from presentations, student mentorship, conferences, and public-facing academic events.
Achievements and service
Recognition across research, leadership, and scholarly service.
Professional Honors
Research recognition, faculty honors, and awards for technological innovation.
Fellowships
National and international fellowships supporting biomedical standards, AI, and computational research.
Major Recognition
Recognized among the top two percent of researchers globally in artificial intelligence and as an ACM Distinguished Speaker.
Editorial Service
Selected editorial-board service for interdisciplinary scientific and data-focused journals.
Ideas beyond the lab
Public scholarship, commentary, and stories from the archive.
The Silent Clinician: The Rise of Agentic AI in Healthcare
A reflection on autonomy, accountability, and trust as AI systems take on more active roles in clinical environments.
Read on LinkedIn →Make your scientific software citable without spending a penny
A practical guide to releasing research software, assigning a DOI, and improving the visibility and reuse of scientific code.
Read on LinkedIn →Student-years blog and early research stories
An archive of technical tutorials, reflections, research milestones, and early academic experiences.
Visit the archive →