Post Doctoral Fellow
Dr. Hamza Altarturi is a data scientist specializing in artificial intelligence and machine learning applications for sustainable aquatic food systems. His work at WorldFish focuses on developing predictive analytics, AI-powered decision-support tools, and responsible AI frameworks to advance fisheries governance and support small-scale fishing communities. He contributes to projects integrating data harmonization, digital innovation, and farmer-centric solutions across diverse geographies in Africa and Asia.
Hamza's expertise covers machine learning, natural language processing, predictive modeling, computer vision, data engineering, and farmer- and fisher-centric digital design.
His work integrates socio-economic and governance dimensions, ensuring that AI applications are ethically grounded, inclusive, and aligned with global sustainability and food-systems priorities.
He leads and co-develops several digital initiatives at WorldFish, including SmartCatch, an AI-driven computer vision tool for automated fish species and size detection; AskFish, a conversational analytics and semantic search platform for querying complex fisheries datasets; EcoRoute, a route optimization and gear/vessel recommendation system supporting safer and more sustainable fishing decisions; and Peskas Digital Systems, which advances data harmonization, open data architecture, and real-time fisheries intelligence for global research and governance.
Before joining WorldFish in 2023, Hamza served as a PT lecturer in the Artificial Intelligence Department at the FSKTM, Universiti Malaya (UM), where he taught and conducted research in machine learning and applied data science.