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My name is Poulomi Das, and I have graduated with a Bachelors in Chemical Engineering from Jadavpur University, Kolkata, India in 2019. After that I worked with Honeywell UOP India Pvt. Ltd. as a Process Control and Instrumentation Engineer for a year. I have joined the Advanced Process and Energy Systems Engineering group at the West Virginia University in Fall 2021 to pursue PhD in Chemical Engineering. My research is focused on techno-economic optimization and Bayesian uncertainty quantification for conversion of lignocellulosic biomass to value-added products – a project partnered with the U.S. Department of Agriculture (USDA-NIFA). Beyond research, I spend my time reading, listening to music/singing, and creating - usually with a brush, a recipe, or a toolkit.
Education:
Ph.D. Chemical Engineering, West Virginia University, Morgantown, WV, 2021 - Present
B.E. Chemical Engineering, Jadavpur University, Kolkata, India, 2015 - 2019
Work Experience:
Process Control and Instrumentation Engineer, Honeywell UOP India Pvt Ltd, India, 2019 - 2020
Membership:
AIChE, 2023 - Present
Phi Kappa Phi Honor Society, 2024 - Present
Current Research
Current Research
Techno-Economic Optimization and Bayesian Uncertainty Quantification of Processes for Producing Value-added Products from Lignocellulosic Biomass
The principal objective of my project is to develop and validate plant-wide models to conduct engineering scalability analysis for converting lignocellulosic biomass to value-added products. Starting at the molecular scale, I develop detailed kinetic models for the primary depolymerization reactions that generate platform intermediates and estimate the optimal values of associated kinetic parameters from lab-scale data. The process models are developed based on first-principles. Simultaneous data reconciliation and parameter estimation are undertaken to validate these models using the generated lab-scale data and strengthen model fidelity, while commercial viability is assessed via techno-economic analysis. The plant-wide models are developed by designing and optimizing the product upgrading and treatment section for producing market-ready products. Because there is no commercial experience for most of these technologies, I perform scale-up uncertainty analysis by leveraging a modified Bayesian inference; in practice, I propose Bayesian uncertainty-quantification algorithms that consistently integrate measurements with prior domain knowledge to produce decision-relevant uncertainty estimates.
Publications
Publications
Presentations
Presentations
Das P, “First-Principles Modeling, Techno-Economic Optimization and Bayesian Uncertainty Quantification for Sustainable Conversion of Lignocellulosic Biomass”, Paper 3hs, AIChE Annual Meeting, Boston, MA, November 2-6, 2025
Das P, “Process Modeling and Techno-Economic Optimization for Producing Value-Added Products from Lignocellulosic Biomass”, Paper 383d, AIChE Annual Meeting, Boston, MA, November 2-6, 2025
Das P, Bhattacharyya D, Jiang C, Hu J, “Plant-Wide Modeling and Techno-Economic Optimization of a Bio-Adhesive Production Process Using Lignin and Soy Protein Isolate”, Paper 76c, Boston, MA, November 2-6, 2025
Das P, Bhattacharyya D, “Plant-Wide Modeling and Techno-Economic Optimization for Production of Platform Intermediates through Concentrated Acid Hydrolysis of Lignocellulosic Biomass”, Paper 643d, Boston, MA, November 2-6, 2025
Das P, "Process Modeling and Techno-Economic Optimization for Producing Value-Added Products from Lignocellulosic Biomass", Paper 364v, AIChE Annual Meeting, San Diego, CA, October 27-31, 2024
Das P, Bhattacharyya D, “Techno-Economic Optimization of Xylose and Glucose Sugar Production Via Concentrated Acid Hydrolysis of Lignocellulosic Biomass”, Paper 71b, AIChE Annual Meeting, San Diego, CA, October 27-31, 2024
Das P, Bhattacharyya D, “Process Modeling and Optimization of a Bio-Adhesive Production Process Using Kraft Lignin and Soy Protein Isolate”, Paper 688e, AIChE Annual Meeting, San Diego, CA, October 27-31, 2024
Das P, Bhattacharyya D, “Kinetic Modeling and Techno-Economic Analysis of a Sugar Production Process Via Hydrolysis of Lignocellulosic Biomass”, Paper 562h, AIChE Annual Meeting, Orlando, FL, November 5-10, 2023
Das P, Bhattacharyya D, Jiang C, Hu J, “Kinetic Modeling and Optimization of a Bio-Adhesive Production Process from Lignin”, Paper 590i, AIChE Annual Meeting, Orlando, FL, November 5-10, 2023
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