معرفی
Manjeevan Singh Seera is an Associate Professor at Monash University Malaysia, School of Business, where he contributes to teaching and research in data analytics and machine learning. He holds a PhD in Computational Intelligence from Universiti Sains Malaysia and is a Certified Professional Engineer (Malaysia) and Chartered Engineer (UK), reflecting his dual expertise in academia and industry.
- PhD in Computational Intelligence, Universiti Sains Malaysia (2012)
His research centers on machine learning applications in financial fraud detection, explainable AI, cyberbullying detection, sustainable energy, and health informatics. He develops intelligent systems for real-time fraud prevention and has pioneered work in microbiome-based cancer detection using AI. His work aligns with UN Sustainable Development Goals, particularly in education, sustainable economic growth, and responsible innovation.
Recent publications reveal a strong trend in applying machine learning to societal challenges—ranging from ESG compliance and carbon penalties to deepfake-related child abuse and blockchain regulation in energy. His interdisciplinary work spans finance, healthcare, law, and environmental policy, demonstrating the versatility and impact of data-driven solutions.
- Certified Professional Engineer (Malaysia)
- Chartered Engineer (UK)
Dr. Seera has secured competitive research grants and leads multiple active projects, including the development of multimodal cyberbullying detection systems for ASEAN languages and legal frameworks for blockchain in Malaysia’s energy sector. He has previously served in industry roles at Bank Negara Malaysia and Intel, bridging academic research with practical implementation. He also contributes to academic governance as an external examiner and peer reviewer.
He is actively involved in research labs and collaborative networks focusing on AI for social good, fraud analytics, and sustainable technology. His team works at the intersection of AI, ethics, and policy, aiming to build trustworthy and impactful systems for real-world deployment.
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