This curated space features a combination of my past professional projects and personal endeavors, reflecting my insatiable thirst for knowledge and passion for pushing boundaries.
From self authored research papers on cutting-edge chemical processes and novel developments to thought-provoking articles, you'll find a rich assortment of topics that highlight my commitment to innovation and continuous learning. These publications not only demonstrate my technical proficiency but also reveal my dedication to exploring the broader implications of the emergent world changing technology.
Dive into my collection of publications and join me on a journey through the multifaceted dimensions of chemical engineering. Experience the power of ideas as they converge to inspire new perspectives, foster collaboration, and drive the pursuit of a better future for all.
Machine Learning and Artificial Intelligence in Chemical Engineering.
In this thesis, we explore the burgeoning field of machine learning (ML) and artificial intelligence (AI) applied to chemical engineering, focusing on the development and implementation of advanced computational techniques to optimize processes, predict material properties, and design novel materials and catalysts for a wide range of applications. The research aims to bridge the gap between traditional chemical engineering methodologies and state-of-the-art AI-driven approaches, highlighting the potential of ML and AI to revolutionize the field by offering transformative solutions to pressing global challenges such as climate change, resource scarcity, and environmental pollution.
Z. Dan, & Yamamoto, A. (2023, May 10). "Machine Learning and Artificial Intelligence in Chemical Engineering: Applying Advanced Computational Techniques to Optimize Processes, Predict Material Properties, and Design New Materials and Catalysts for Various Applications."
Design and Optimization of Syngas-Based Methanol Production Facility.
The advent of hydraulic fracturing technology has revolutionized the North American natural gas landscape, ushering in a new era of abundant, low-cost feedstock for petrochemical manufacturers. As global demand for petrochemical-derived products soars, particularly in developing economies, the stage is set for a breakthrough in methanol production - a versatile chemical with applications as an intermediate, solvent, and fuel additive or alternative. This study presents an innovative process design to transform natural gas-derived syngas into 5,000 metric tonnes of methanol per day, addressing a projected 1.65 million metric tonne per year gap between methanol demand and growth.
Z. Dan, Hartwell, A., Ng, A., Sivabalan, K., & Yang, L. (2019, April). Design and Optimization of Syngas-Based Methanol Production Facility. In Separation Systems and Process Intensification Strategies in Chemical Engineering Design. Schulich School of Engineering, University of Calgary.