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Taiwo Alare
Taiwo Alare
Research assistant
Taiwo Alare is a Ph.D. student in Mechanical Engineering at Stony Brook University, New York. His research focuses on computational modeling and numerical methods with applications in aerospace engineering and advanced materials. He has published peer-reviewed work, is a full member of Sigma Xi, the Scientific Research Honor Society, and also serves as a teaching assistant.
United States of America

Public Documents 2
Energy as a Major Determinant of Economic Growth: Technological Advancements and Poli...
Taiwo Alare

Taiwo Alare

March 03, 2025
Energy plays a fundamental role in driving economic growth, shaping industrial productivity, and fostering technological innovation. This study examines the intricate relationship between energy consumption and economic development, focusing on the experiences of countries such as the United States, Germany, China, Nigeria, Nepal, and Chile. The research explores key themes, including advancements in renewable energy, energy efficiency improvements, and the deployment of innovative energy technologies such as smart grids and battery storage systems. Findings emphasize the necessity of integrating energy sustainability into national economic strategies. The study highlights the role of policy interventions, technological advancements, and international cooperation in creating resilient and diversified energy systems to support long-term economic stability and environmental sustainability.
Development Of A Mathematical Model For Calculating Accumulated Solid Waste: An Exper...
Taiwo Alare
Kehinde Alare

Taiwo Alare

and 1 more

October 12, 2020
In newest development, waste is being refined into a biofuel or being recycled. This is to say lots of works has done to turn or transform waste into useful materials. Waste management has being an important factor in community development. Therefore, data base must be developed to know the amount of waste accumulated or generated over a given period of time. Taken into consideration the incremental factor, degradable waste ratio and burning and recycle reduction factor. This paper look for a mathematical formula that can be used to generate data for amount of solid waste accumulated over time for geographical location in respect of mass.

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