Optimization for a changing climate
Multi-objective systems that balance reliability, cost, and sustainability in critical infrastructure.
Research & publications
Asking how AI can be more useful, resilient, and accessible.
I am interested in practical intelligence: systems that make sound decisions while respecting constraints in energy, hardware, data, and human context.
Intelligence at the edge
Embedded ML and robust reasoning for devices and robotics working with limited resources.
Human-centred AI systems
Vision, language, and accessible interfaces that put advanced capability in reach of more people.
Publication
Research that stays close to the system it hopes to improve.
2026
DMPedia Lecture Notes in Multidisciplinary Research · IMPACT26
Machine Learning-Driven Energy Optimization for Sustainable Telecommunications: A Multi-Algorithm Benchmark
419–429 · DOI: 10.65890/dmp.lnmr.IMPACT26.78
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