Prof. June Lukuyu — Research Profile
University of Washington · Department of Electrical & Computer Engineering
Graduate application deadlines
Department of Electrical & Computer Engineering
PhD in Electrical & Computer Engineering
Fall 2027Autumn 2027 - International
Dec 15, 2026
Application deadline
Autumn 2027 - Domestic
Dec 15, 2026
MS in Electrical & Computer Engineering
Fall 2027Application deadline
Dec 15, 2026
No year on the page — check the original to confirm these dates are for this cycle.
Source: ece.uw.eduChecked Nov 2, 2026
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Prof. June Lukuyu at University of Washington Department of Electrical & Computer Engineering lists data analytics, computing techniques, energy system modeling, social sciences, integrated energy development as their registered research area.
Research keywords
Recent papers
- The Potential of Solar Integration for Meeting the Electrical Demands of Water Treatment and Delivery in Rural AlaskaACS ES&T Water · Jul 1
- Voltage Quality Below the Distribution Transformer: Endpoint Measurement and Temporal Analysis in Kampala's Informal Distribution NetworksPreprintSSRN Electronic Journal · Jan 1
- Neighborhood Disparities in Weather-Related Power Outages and Voltage Quality in Accra, GhanaPreprintSSRN Electronic Journal · Jan 1
From OpenAlex · papers whose author affiliation matches this university
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Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology ReconfigurationPreprintarXiv (Cornell University) · Aug 25Shared topic: Optimal Power Flow Distribution
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Assessment of hydrogen production potential and energy mismatch reduction of a novel solar-hydrogen cladding systemEnergy Conversion and Management · Aug 21Shared topic: Hybrid Renewable Energy Systems
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Semantically embedded end-to-end deep learning for battery energy storage system state-of-health estimation using field dataeTransportation · Aug 14Shared topic: Power Systems and Renewable Energy
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brain-computer interfaces, sensorimotor control systems, engineered brain plasticity, adaptive decoding and multi-agent learning
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