Academic CV · web / print version
The complete publication record remains on Google Scholar. Use “Print / Save PDF” for a PDF copy.
Executive CVPublications

Adeeb Noor

Saudi National · Professor of Data Science and Artificial Intelligence
King Abdulaziz University
Jeddah, Saudi Arabia
adeeb.noor@gmail.com
Google Scholar · ResearchGate

Academic Profile

Professor and researcher working across artificial intelligence, data science, decision intelligence, biomedical informatics, digital health, software engineering and AI-enabled education. The research program connects computational representation to consequential action: what aggregate metrics hide, what incomplete knowledge changes, and how technical systems behave once embedded in real institutional decisions.

Academic Appointments

2024–Present

Full Professor — King Abdulaziz University, Faculty of Computing & Information Technology

Research and teaching in AI, data science, bioinformatics, healthcare technology, software engineering and educational systems.

2020–2024

Associate Professor — King Abdulaziz University

Research, graduate supervision and applied projects spanning AI, biomedical informatics and digital transformation.

2016–2020

Assistant Professor — King Abdulaziz University

Teaching and research across AI, bioinformatics, software engineering and healthcare technology.

2016–Present

Visiting Professor (Adjunct) — Computational Bioscience Research Center, KAUST

Collaborative R&D in bioinformatics, personalized medicine and translational research within the KAUST research ecosystem.

Education

2015

PhD, Computer Science (Bioinformatics) — University of Colorado Boulder

D3 Pharmacovigilance System: characterization of drug–drug interactions through statistical inference, big-data mining and Semantic Web technologies.

2010

MS, Computer Science — University of Colorado Boulder

Graduate research on improving bioinformatics software quality through software engineering practices.

2006

BS, Information Technology — Taibah University

Doctoral Research Lineage

Advisor

James H. Martin — University of Colorado Boulder

PhD advisor; doctoral work connected statistical inference, natural-language/data methods and biomedical decision support.

Co-supervision

Michel Dumontier — Biomedical Informatics & Semantic Web

Principal co-supervisor and domain expert shaping the knowledge-representation and biomedical-informatics dimensions of the doctoral work.

Research Areas

Decision Intelligence & RIDIAllocation identity, ranking-to-action systems and consequential AI evaluation.
Biomedical InformaticsDrug–drug interactions, pharmacovigilance, biomedical knowledge integrity and personalized medicine.
Artificial Intelligence & Data SciencePredictive analytics, responsible AI, graph/knowledge systems and decision support.
Digital HealthClinical innovation, patient platforms, hospital intelligence and health-data systems.
AI & EducationReadiness, evidence, curriculum systems and AI-assisted instructional design.
Institutional SystemsResearch governance, workforce intelligence, operating models and evidence-based decision architecture.

Selected Research Programs & Systems

RIDIAllocation identity in AI: how similar aggregate performance can mask different downstream allocations.
D3 PharmacovigilanceDrug–drug interaction characterization using statistical inference and Semantic Web technologies.
Anti-DDIBiomedical knowledge completeness and non-interacting drug-pair reasoning.
GenomeFitPersonalized medicine, genetic screening and drug-response decision support.
D4 / Neuro-symbolic Drug Interaction ResearchAI approaches for drug-interaction prediction and pharmaceutical decision support represented in the CV record.
CIMT / IMAM / iSCARBResearch and system-building for AI-enabled curriculum design, readiness and instructional evidence.

Research & Publication Record

The supplied CV record reports 40+ peer-reviewed publications across artificial intelligence, data science, bioinformatics, healthcare technology, sustainability and education innovation. Because citation counts and h-index change over time, the live Google Scholar profile is the authoritative source for current metrics.

Teaching & Curriculum Innovation

Current

CPIT-455 — Software Engineering II

Reliability, safety, security, resilience, reuse, distributed systems and systems of systems, organized around authentic engineering decisions and evidence of readiness.

Frameworks

CIMT → IMAM → iSCARB

Progressive work on curriculum responsiveness, generative-AI-assisted instructional design, readiness evidence and culturally aligned engineering education.

Supervision

Graduate Research Mentoring

Graduate supervision and mentoring across artificial intelligence, bioinformatics, healthcare technology and responsible AI.

Research Translation & Innovation

RIDIGenomeFitHEALTHxSHIFAALEDDIMAM GenAIiSCARB

Academic & Institutional Service

KAU

Research & Innovation Committees

Service includes research-and-innovation permanent committees, research strategy and initiatives, visiting-professorship and distinguished-scientist programs, and industrial research partnerships.

National

Council of Experts — Educational Job Classifications

Contribution to national educational job classification and workforce strategy within the Saudi education system.

Healthcare

Advisory Committee — King Abdulaziz University Hospital

Digital strategy and quality-governance contribution in an academic medical-center setting.

Selected Recognition & Credentials

TAQADAM Venture SupportFekraTech Innovation AwardMicrosoft Recognition AwardCertified ScrumMasterCCNAGoogle Data AnalyticsNavigating Generative AI

Languages

Arabic — NativeEnglish — Fluent

Scholarly Profiles