STEVE PANDO

Graduate Student-Researcher,
Mechanical Engineering

Steve Landry Pando

Mechanical Engineering
Steve Landry PANDO TIOKOU is a Mechanical Engineer specializing in mechanical system modeling, reliability simulation, and predictive analysis. He is currently pursuing a Master’s in Mechanical Engineering at Université du Québec en Abitibi-Témiscamingue (UQAT), focusing on the instrumentation of anchor bolts to enhance underground mining support reliability. His expertise includes Python, MATLAB, Abaqus, Ansys, and SolidWorks, with a strong foundation in mechanical design, predictive maintenance, and industrial optimization.

He gained hands-on experience as a Research Intern at MITACS Acceleration – Groupe MISA in Canada, where he developed strategies to optimize underground mining support. Previously, he worked as a Mechanical Engineer at Sealand Services in Cameroon, leading technical studies, supervising equipment installation, and implementing preventive maintenance plans. His experience also includes hydrocarbon distribution projects at Africa Business & Engineering, where he managed pipeline network design and geotechnical studies.

His core competencies include mechanical system modeling, strategic project planning, data analysis, and predictive maintenance. He is proficient in Abaqus, Ansys, SolidWorks, MATLAB, Python, and Excel.

Recognized for his academic excellence, he has received multiple awards, including the Excellence Scholarship from UQAT (2024) and the Presidential Excellence Award of Cameroon (2017, 2021). Passionate about innovation, he serves as President of the UQAT Student Entrepreneurs Club and mentors students through the Kairos Project in Canada.

Contributions

Explore how technologies like IoT, AI, and predictive analytics are transforming the way industries approach maintenance and boosting operational efficiency.
A practical guide to using FEA tools like Abaqus and Ansys to optimize mechanical structures and predict system behavior under various conditions.
How mechanical engineering principles are applied to enhance the design and functionality of petrochemical systems.
Discover the best practices for creating a maintenance schedule that ensures optimal equipment performance, minimizes downtime, and reduces costs.
An overview of sustainable engineering practices and their role in driving efficiency in industrial settings.
Welcome in a world where AI is growing at a fast rate.
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