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Prospective doctoral researcher · Human-Computer Interaction

Exploring AI, human experience & intelligent systems

Where business experience meets a growing interest in how people understand, trust and use intelligent systems.

My interest in AI goes beyond its commercial use. I want to understand how intelligent systems shape human decision-making, communication and everyday experience.

I'm building on studies in graphic design and strategic communication, and on work in technology-driven business environments, towards doctoral research in HCI.

Current learning

Artificial Intelligence & Machine Learning

Developing foundational knowledge of AI and ML: the principles, applications and capabilities of intelligent systems.

Research interests

Human–AI interaction at work

How people understand, trust and use AI-enabled tools in organizational settings.

Communicating AI-generated information

How communication and visual presentation support understanding and decision-making.

Stakeholder needs & workflows

How organizational context shapes the adoption of AI and media intelligence systems.

Human-centered AI

Trust, transparency, usability and accessibility in intelligent software.

Questions I'm exploring

Illustrative research directions, not completed studies.

How can intelligent interfaces communicate decisions and recommendations in ways users understand and trust?

How does interface design influence users' confidence, behavior and adoption of AI-enabled software?

How can user-centered research inform more accessible and intuitive intelligent systems?

Education & learning

Qualifications, current study, tools and what comes next.

Education & qualifications

  • Master of Strategic Public Relations & Corporate Communication, Zayed University. GPA 3.73/4.00, High Distinction.
  • Bachelor of Graphic Design, Higher Colleges of Technology. GPA 3.37/4.00.
  • Social and Behavioral Research, CITI Program (valid through January 2027).
  • IELTS Overall Band 7.5.

Ongoing learning

  • Artificial Intelligence & Machine Learning: current studies.
  • Python, at a familiarity level.
  • Claude and other AI productivity tools.

Technical tools

  • Odoo ERP, SAP, Oracle, Power BI
  • Microsoft Office, Excel, PowerPoint and Azure
  • Canva, Adobe Creative Suite, Notion
  • Media intelligence platforms

Future projects

Learning projects, research notes and writing will be added as they develop. Follow progress on GitHub.

Let's connect

Open to professional conversations, collaborations and research connections.