Dr. Muhamad Hariz Adnan

Supervised Learning Explained: A Beginner’s Guide for Malaysian Professionals

Dr Muhamad Hariz — Sun, 03 May 2026 01:00:00 +0000

Supervised learning is a type of machine learning where an algorithm learns to make predictions by studying labelled examples — historical data where the correct answer is already known. The algorithm identifies patterns between input features and the known outcome, then applies those patterns to predict outcomes for new, unseen data. The “supervision” comes from the labelled training data that…

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Top 10 AI Tools Every Malaysian Professional Should Master in 2026

Dr Muhamad Hariz — Wed, 29 Apr 2026 01:00:00 +0000

The AI tools that deliver the most immediate productivity value for Malaysian professionals in 2026 are those that integrate into daily work tasks — writing, research, presentation, data analysis, and communication — without requiring technical expertise. The tools listed here were selected based on accessibility in Malaysia, quality of free tiers, language support, and relevance to common…

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AI and Cybersecurity in Malaysia: Emerging Threats and Intelligent Defence

Dr Muhamad Hariz — Mon, 27 Apr 2026 01:00:00 +0000

AI is transforming cybersecurity in Malaysia by simultaneously empowering defenders and arming attackers — the same machine learning capabilities that enable intelligent threat detection are being weaponised to create more sophisticated phishing campaigns, automated vulnerability exploitation, and AI-generated deepfake fraud. Malaysian organisations face a rapidly evolving threat landscape where…

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UPSI Postgraduate Computing: Why It Is a Top Choice for AI Research in Malaysia

Dr Muhamad Hariz — Fri, 24 Apr 2026 01:00:00 +0000

UPSI (Universiti Pendidikan Sultan Idris) offers a uniquely positioned postgraduate computing programme because its Faculty of Computing and Meta-Technology (FKTM) sits within Malaysia’s only dedicated teacher education university — creating a research environment where AI, computing, and education intersect in ways no purely technical faculty can replicate. This makes UPSI the natural destination…

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AI Training for Teachers and Educators in Malaysia: Building Future-Ready Classrooms

Dr Muhamad Hariz — Wed, 22 Apr 2026 01:00:00 +0000

Malaysian teachers need AI training because the tools their students are already using — ChatGPT, Copilot, Canva AI — are reshaping how learning happens whether schools are ready or not. Teachers without AI literacy cannot guide responsible use, integrate AI effectively into pedagogy, or distinguish AI-generated work from authentic student output. This gap is urgent, not theoretical.

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The Role of AI in Malaysia’s Digital Transformation Strategy

Dr Muhamad Hariz — Mon, 20 Apr 2026 01:00:00 +0000

Malaysia’s AI strategy is anchored in the National Artificial Intelligence Action Plan (AI-RANAS) 2026-2030, which positions AI as the primary driver of Malaysia’s transition from a middle-income to a high-income economy. The plan targets RM 25 billion in AI-driven economic value by 2030, the training of 500,000 AI-ready workers, and the deployment of AI across five priority sectors: healthcare…

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How to Write a Strong AI Research Proposal for Your Master or PhD in Malaysia

Dr Muhamad Hariz — Fri, 17 Apr 2026 01:00:00 +0000

A strong AI research proposal demonstrates a clearly identified research gap, a feasible and methodologically sound approach to filling it, and a concrete contribution to knowledge that a Malaysian university or scholarship body can justify funding. Most rejected proposals fail not on technical merit but on three avoidable errors: a vague problem statement, a gap that is already filled in the…

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How HRD Corp Claimable AI Training Works: A Complete Guide for Malaysian Employers

Dr Muhamad Hariz — Wed, 15 Apr 2026 01:00:00 +0000

HRD Corp (Human Resource Development Corporation) is Malaysia’s national workforce development body that collects mandatory levies from registered employers and channels them back as funded training. Employers can claim up to 100% of approved training costs — including AI training programmes — through the SBL-Khas scheme, effectively making quality upskilling free for levy-paying organisations.

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Explainable AI (XAI): Why Transparency in AI Matters for Malaysia

Dr Muhamad Hariz — Mon, 13 Apr 2026 01:00:00 +0000

Explainable AI (XAI) refers to techniques and methods that make the decisions and outputs of artificial intelligence systems understandable to humans. Unlike black-box models that produce results without justification, XAI enables users — whether doctors, bankers, regulators, or teachers — to understand why an AI reached a particular conclusion. In contexts where AI affects lives and livelihoods…

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Research Gaps in AI in Education: Opportunities for Malaysian Postgraduate Students

Dr Muhamad Hariz — Fri, 10 Apr 2026 01:00:00 +0000

The biggest research gaps in AI in education include the lack of explainability in AI-driven learning systems, limited multilingual AI tools that support Bahasa Malaysia, and insufficient empirical studies on AI-based assessment in Southeast Asian classroom contexts. These gaps represent fertile ground for Malaysian postgraduate students pursuing Master’s and PhD research in 2025 and beyond.

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