Hi, I’m Abdullah

I am a final-stage PhD researcher in Computer Science at Murdoch University, working on machine unlearning, multimodal AI and trustworthy vision-language systems.

I’m particularly interested in selective forgetting, model auditing, recovery attacks and reliable evaluation. My work asks a simple question: when a model appears to forget, what evidence shows that the information is actually gone?

Alongside the PhD, I teach university courses across artificial intelligence, intelligent systems, cyber threat intelligence, network security and cryptography.

I also build reproducible research software, interactive teaching tools and applied AI systems that make technical ideas easier to inspect and use.

Machine Unlearning, Right Now

A snapshot of the research portfolio as it stands now: thesis progress, accepted work and the questions I am actively pushing forward.

THESIS STATUS Final stage

Machine unlearning · multimodal / VLM systems

RESEARCH PIPELINE · 20263 core thesis papers
HGUAccepted
BoundaryRevision
MU-ALIGNUnder review
AcceptedNeurocomputing · 2026
Current audit workRecovery + representation tests
Deployment questionDurability after quantisation

Research Activity

Public research engineering across experiments, repositories, teaching builds and paper artifacts.

Public GitHub work@abdullahak07 on GitHub
SepOctNovDecJanFebMarAprMayJunJulAug
Research code · teaching demos · applied systemsLess More

Experience

Research, teaching and technical delivery across Australian universities.

ND
2026 — PRESENT

Academic Lecturer

University of Notre Dame Australia

Lectures, tutorials, practical sessions, assessment and student support across Cyber Threat Intelligence and Network Security & Cryptography.

2024 — PRESENT

Casual Academic · Information Technology

Murdoch University

Teaching across Artificial Intelligence, Intelligent Systems and Transition to IT for undergraduate and postgraduate cohorts.

PhD
2023 — PRESENT

Doctoral Researcher · Trustworthy AI

Murdoch University

Machine unlearning, multimodal AI, privacy-preserving ML, model auditing, membership inference, recovery attacks and reproducible experimental pipelines.

Education

Doctor of Philosophy (PhD)Murdoch University

Computer Science · Machine Unlearning · Thesis finalisation

AMU
Master of Computer Science & ApplicationsAligarh Muslim University

Computer Science

Skills Stack

Machine unlearning research, multimodal AI and the software engineering that connects them.

⌁

Machine Unlearning

Designing and auditing methods that remove targeted behaviour while protecting retained capability.

WHAT I WORK ON

  • Selective forgetting
  • Recovery attacks
  • Membership inference
  • Durability evaluation
⌬

Multimodal AI

Vision-language systems, representation analysis and trustworthy multimodal model evaluation.

WHAT I WORK ON

  • Vision-language models
  • Representation auditing
  • Multimodal robustness
  • Metric reliability
›_

Research Engineering

Building the tooling around experiments and turning research ideas into reproducible systems.

WHAT I WORK ON

  • PyTorch + Hugging Face
  • Experiment pipelines
  • Statistical evaluation
  • Interactive research demos

Recognition

SCHOLARSHIPS & LEADERSHIP

Murdoch International Postgraduate ScholarshipDoctoral support
President · MUMSA2025 — 2026
Founder & President · Murdoch Cricket ClubStudent leadership

Selected Systems