My research lies at the intersection of thermal-fluid sciences, bioprocess modeling, and data-driven analysis, with a focus on advancing sustainable and economically viable technologies for energy and chemical production. Throughout my academic journey, I have combined a strong foundation in mechanical engineering with interdisciplinary approaches to solve complex challenges in renewable energy systems and green chemistry.
During my master’s program, I focused on improving the performance of Linear Fresnel solar reflectors by incorporating nanofluids, using ANSYS Fluent for simulation. This work involved detailed analysis of heat transfer and thermophysical property enhancement, as well as system-level modeling of solar thermal energy collection. Through this experience, I enhanced my expertise in fluid mechanics and heat transfer, and developed a strong interest in applying core engineering principles to emerging sustainable energy technologies.
Building on this foundation, my Ph.D. research focuses on the techno-economic analysis (TEA) and life cycle assessment (LCA) of second-generation biorefineries. I have evaluated processes such as lignin-first biorefining and microbial production of fatty alcohols from lignocellulosic feedstocks. Using platforms like Aspen Plus, BioSTEAM, OpenLCA, and GREET, I develop integrated process models that assess environmental performance, economic feasibility, and enable rapid scenario analysis.
In my recent projects, I have incorporated machine learning (ML) to enhance the speed, scope, and depth of exploration. ML models automate sensitivity analyses and predict system performance under uncertainty. This combination of process modeling, sustainability metrics, and data science supports more informed, efficient, and transparent decision-making in early-stage technology development. My overarching goal is to optimize biorefinery processes, valorize waste materials, and enhance the sustainability and safety of bio-based fuels and chemicals.
Research and Project Experience
I am currently a Ph.D. candidate in Mechanical Engineering at Iowa State University, expected to defend in November 2025. My recent projects include:
Earlier projects include CFD modeling of nanofluid-based solar collectors and HVAC system design. Across all projects, I apply my expertise in TEA, LCA, and ML with tools such as Aspen Plus, Python, and Ansys Fluent. My dual training in engineering and business (MBA) enables me to approach challenges from both technical and strategic perspectives.