Risqi Saputra

Muhamad Risqi U. Saputra (Risqi) is Associate Professor in Data Science at Monash University, Indonesia. He is actively involved in research, teaching, and interdisciplinary projects focusing on machine learning, computer vision, cyber-physical systems, and smart cities. His work contributes to UN Sustainable Development Goals, particularly in education, sustainable cities, and climate action.

Education:

• DPhil/PhD in Computer Science, University of Oxford
• MEng in Information Technology, Universitas Gadjah Mada
• BEng in Electrical Engineering and Information Technology, Universitas Gadjah Mada

Risqi's research focuses on applying deep learning and computer vision to real-world challenges such as navigation, environmental monitoring, and disaster management. His work integrates satellite imagery, IoT, and AI to solve problems in urban resilience and sustainable development. He is particularly interested in interdisciplinary applications in health, assistive technology, and smart cities.

His recent publications highlight a strong trend in using deep learning for environmental monitoring—especially flood and mining footprint detection via satellite data. The integration of cross-attention networks, semantic segmentation, and multispectral imagery demonstrates technical innovation with societal impact. His work also extends into policy and social implications of AI, as seen in studies on energy transition and big data discourse in politics.

Scientific Awards:

• Indonesia ICT Awards (INAICTA)
• International ICT Innovative Services Contest (InnoServe), Taiwan
• Asia Pacific ICT Alliance Awards (APICTA), Brunei Darussalam

Risqi is a Chief Investigator on multiple active research projects such as Open Nutrition, Citarum Action Research Program, and MUST: Enabling Multi-species Transitions. These projects involve interdisciplinary collaboration across environmental science, public policy, and data science. He also contributes to public discourse through media engagement, including commentary on the misuse of 'big data' in politics. He teaches core units in data science, algorithms, and research methods at Monash University.

He is currently accepting PhD students and leads research that bridges technical innovation with societal benefit, particularly in Southeast Asia’s urban and environmental contexts.