Adeeb Noor

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

Artificial intelligence · Decision intelligence · Biomedical informatics · Digital health · AI-enabled education

Jeddah, Saudi Arabia
arnoor@kau.edu.sa
Google Scholar · ResearchGate

Academic Profile

Professor and researcher working across artificial intelligence, decision intelligence, biomedical informatics, digital health, software engineering and AI-enabled education. The research program asks what aggregate metrics hide, how incomplete knowledge changes decisions, and how technical systems behave once embedded in real institutions.

Academic Appointments

2024–Present

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

Department of Information Technology; research and teaching across AI, data science, biomedical informatics, software engineering and educational systems.

2020–2024

Associate Professor — King Abdulaziz University

2016–2020

Assistant Professor — King Abdulaziz University

2016–Present

Visiting Professor — Bio-Ontology Research Group, KAUST

Collaborative R&D in bioinformatics, personalized medicine and translational research.

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

2006

BS, Information Technology — Taibah University

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 ScienceAI ethics, responsible AI, predictive analytics, 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 and evidence-based decision architecture.

Selected Research Programs

RIDIRIDI is the research project behind the manuscript “Equal evaluation scores do not certify equivalent AI behaviour”, with an open toolkit (ridi-audit) for selection-change auditing and the exact identity–utility frontier. It asks how systems can retain aggregate performance while changing their actions, and how much change an explicit objective actually requires.

D3 / Anti-DDIDrug-interaction inference, pharmacovigilance and biomedical knowledge completeness.

D4Neuro-symbolic approaches for drug-interaction prediction and pharmaceutical decision support.

GenomeFitPersonalized medicine, genetic screening and drug-response decision support.

iSCARBiSCARB integrates IMAM as an optional contextualization layer. Current implementation spans nine software-engineering chapters, with story-led lectures from Chapter 12, executable labs and an open preprint.

HEALTHxResearch translation into reusable clinical innovation assets and digital-health services.

Research & Publication Record

40+ peer-reviewed publications are represented across the CV record. Because citation counts and h-index change continuously, Google Scholar is used as the authoritative live source rather than hard-coding volatile metrics here.

Google ScholarCurrent publications, citations and h-index Publications & Research MapSelected themes and scholarly pathways ResearchGateResearch network and publications

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 readiness evidence.

Frameworks

iSCARB

iSCARB integrates IMAM as an optional contextualization layer. Current implementation spans nine software-engineering chapters, with story-led lectures from Chapter 12, executable labs and an open preprint.

Supervision

Graduate Research Mentoring

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

Academic & Institutional Service

KAU

Research & Innovation Committees

Research strategy, visiting-professorship, distinguished-scientist and industrial research partnership work.

National

Council of Experts — Educational Job Classifications

Healthcare

Advisory Committee — King Abdulaziz University Hospital

Scholarly Profiles

Google ScholarFull publication & citation record ResearchGateResearch network & publications KAUST CEMSEVisiting Professor · Bio-Ontology Research Group

Current systems & research · October 2026

Submission-ready manuscript (not yet peer reviewed): Equal evaluation scores do not certify equivalent AI behaviour, with open source data on Zenodo (DOI 10.5281/zenodo.22974727). I examine action identity, evidence and the distinction between observed and necessary change.

MIYARDescribe what the organisation needs to achieve in one sentence; MIYAR suggests a reviewable role reference and opens the right next step across organisation design, job evaluation, workforce planning, compensation and approval. Bilingual, with two-step sign-in, an isolated demo and human review.Open MIYAR

KaminInstead of an opaque fit score, Kamin connects coursework, projects and interests to traceable capabilities and pathways, showing the evidence, the gap and why a recommendation appeared. Transcripts are read in the browser and the profile stays with the learner.Open Kamin

Read the open preprint