About

The Researcher

Ali Akarma
Madinah, Saudi Arabia
Islamic University of Madinah
15 Publications

Research Areas

Agentic AI & Autonomous Systems in High-Stakes Environments
AI Safety & Alignment of Large Language Models
Prompt Injection, Jailbreaks & Adversarial Misuse
Governance, Oversight & Constitutional AI
Secure AI for Cybersecurity & Critical Infrastructure
Digital Twins & Smart City AI

Biography

I build agentic AI systems that know their own limits. My work focuses on the gap between autonomous capability and institutional accountability — designing architectures where AI agents can be stopped, audited, and corrected when they behave unexpectedly. I'm a 3rd-year IT student at the Islamic University of Madinah and have published 15 peer-reviewed papers on AI governance, adversarial robustness, and constrained multi-agent systems.

Currently pursuing a B.S. in Information Technology on a merit-based fully funded scholarship, Ali has authored or co-authored papers across IEEE conferences, Springer, PLOS ONE, and MDPI — spanning agentic architectures, digital twins, AI governance, and safety-critical deployment. His research is motivated by a conviction that powerful AI systems must be understandable, governable, and safe by design.

Education

B.S. Information Technology

Islamic University of Madinah

Saudi Arabia

2023 – 2027Current
  • Merit-based fully funded scholarship (Competitive selection)
  • Current Cumulative GPA: 4.23 / 5.00
  • Undergraduate researcher in agentic AI systems and AI governance

Thesis Interest

Safety-aligned multi-agent orchestration under Byzantine constraints.

Research Experience

Undergraduate AI Researcher

Islamic University of Madinah

Jan 2025 – Present
  • Designed agentic AI systems with explicit safety constraints, restricted action spaces, and policy-aligned decision rules.
  • Conducted failure-mode and misuse analyses for autonomous systems, focusing on adversarial inputs, unintended behaviors, and oversight gaps.
  • Explored LLM-based components within agentic pipelines: prompt design, orchestration, and robustness considerations.
  • Investigated governance mechanisms for preventing unsafe behaviors triggered by untrusted or adversarial data sources.
  • Analyzed system trustworthiness in scenarios analogous to log analysis, automated triage, and decision support pipelines.

Technical Methods & Expertise

Agentic AI Systems

Designing constrained reasoning pipelines with explicit safety guardrails and policy alignment.

Safety Engineering

Analyzing failure modes and edge cases in autonomous decision-making systems.

AI Governance

Implementing blockchain-based auditing and immutable oversight for AI agents.

Technical Writing

Distilling complex research into peer-reviewed publications and technical reports.

Awards & Certifications

Merit-Based Fully Funded Bachelor's Scholarship

Islamic University of Madinah

Awarded for exceptional academic performance and potential in computer science and information technology.

2023

Certificate of Appreciation (Research Excellence)

ICETAS 2026

Recognized for high-quality research contribution and presentation on Agentic AI Governance.

2026

Mindware: Critical Thinking

University of Michigan (Coursera)

Advanced certification in cognitive biases, statistical reasoning, and scientific methodology.

2024

Computational Thinking

University of Michigan (Coursera)

Formal training in algorithmic problem-solving and abstraction techniques.

2024