Area of research
Materials Chemistry · Catalysis
Research interest
Research interests include Waste management, Environmental science, Process (computing), Biochar, Porosity, and Materials science.
Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
Wet wastes to bioenergy and biochar: A critical review with future perspectives
Recent advancements in sustainable upcycling of solid waste into porous carbons for carbon dioxide capture
A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives
Applied Machine Learning for Prediction of CO<sub>2</sub> Adsorption on Biomass Waste-Derived Porous Carbons
Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
Pyrolysis of waste surgical masks into liquid fuel and its life-cycle assessment
A hybrid data-driven and mechanistic modelling approach for hydrothermal gasification
A three-step machine learning framework for energy profiling, activity state prediction and production estimation in smart process manufacturing
Cyber–Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
Online prediction of mechanical properties of hot rolled steel plate using machine learning