HydroSense AI

Cv

My Background

Curriculum Vitae

PhD candidate specializing in IoT and machine learning, focusing on predictive maintenance for hydropower plants using AI and deep learning.

Expertise in deep learning models, anomaly detection, real-time monitoring, and predictive maintenance.

Education

University of Rwanda

September 2022 – Present

Expertise in LSTM models, anomaly detection, and real-time monitoring.

Research Assistant

Lab

September 2022 – Present

Supported projects on smart energy and predictive analytics.

Gallery

Snapshots from my research journey and real-world IoT deployments.

A large dam spans a river, with structures and gates controlling the water flow. The foreground features water and scattered rocks, while lush green vegetation lines the banks of the river. A clear blue sky forms the backdrop, and there is a large electricity pylon connected to power lines on the right, indicating industrial activity.
A metro train is positioned inside a maintenance facility. The train is elevated above the ground, supported by a track system, allowing for inspection or repairs. Various equipment and tools are visible around the area, with bright lighting illuminating the space. A worker is seen in the background, suggesting an active maintenance process.
A hand is holding a small device with an attached probe near an electrical fan or turbine surrounded by wires on a clean white surface. The fan is circular with multiple blades, and several wires are connected to it.
A large dam structure is visible in the background of the landscape, with neatly aligned trees and vegetation in the foreground. Several electricity pylons are distributed across the scene. The dam has a series of white markings or lettering across its surface, and small lights line the top edge.
A large industrial machine with an open casing revealing complex internal mechanisms, including pipes, wiring, and a prominently visible red component. The machine is indoors, in what appears to be a maintenance or workshop area. There are barriers around the machine with a visible safety warning 'KEEP OFF'. In the background, a staircase and a few people are visible.
A white hard hat rests on a large array of blue solar panels under a clear sky. The panels are aligned in an orderly fashion, reflecting sunlight and emphasizing a clean energy theme.
A person is interacting with a smartwatch on their wrist, displaying sleep consistency information through a graph with numerical data.
A large water wheel with metal beams set within a natural landscape featuring greenery and shrubs. A stone wall and metal railing are in the foreground, while an electricity pylon and wires stand in the background against a clear sky.

WPI USA

 

Deep learning