Area of research
Water Science and Technology · Biomedical Engineering
Research interest
Research interests include Biochar, Waste management, Environmental science, Materials science, Computer science, and Syngas.
Effect of Fe Content on the Microstructure and Properties of 5083 Aluminum Alloy
Peroxide Directing the Iron Cycling for Tailored Generation of Active Oxidants in Aqueous Fenton Reactions
Recent advances in pyrolysis upcycling of waste plastics into hydrocarbon fuels on biochar-based catalysts
Formation mechanism of the Yangchang Cu-Mo vein-type deposit, Inner Mongolia, NE China: Constraints from fluid inclusions and O-H-S-Pb isotopes
Zeolite prepared from high-calcium ladle furnace slag and fly ash for Pb2+ removal
Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
Modeling phytoremediation of heavy metal contaminated soils through machine learning
Understanding and optimizing the gasification of biomass waste with machine learning
Wet wastes to bioenergy and biochar: A critical review with future perspectives
Data-Driven Based In-Depth Interpretation and Inverse Design of Anaerobic Digestion for CH<sub>4</sub>-Rich Biogas Production
Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass
Machine learning framework for intelligent prediction of compost maturity towards automation of food waste composting system
A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives
Improved leaching of Cu, Sn, Pb, Zn, and Al from waste printed circuit boards by electro-generated Cl2 in HCl solution
Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects
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
Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algae
Machine learning aided bio-oil production with high energy recovery and low nitrogen content from hydrothermal liquefaction of biomass with experiment verification
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
Biosynthesis of polyhydroxyalkanoate from food waste oil by Pseudomonas alcaligenes with simultaneous energy recovery from fermentation wastewater
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
Exergoeconomic analysis of a novel trigeneration system containing supercritical CO2 Brayton cycle, organic Rankine cycle and absorption refrigeration cycle for gas turbine waste heat recovery
Ciprofloxacin adsorption by biochar derived from co-pyrolysis of sewage sludge and bamboo waste
Treatment of digestate residues for energy recovery and biochar production: From lab to pilot-scale verification
Chlorinated bis-indole alkaloids from deep-sea derived Streptomyces sp. SCSIO 11791 with antibacterial and cytotoxic activities
Enhanced catalytic performance of graphene-TiO2 nanocomposites for synergetic degradation of fluoroquinolone antibiotic in pulsed discharge plasma system
Organic waste to biohydrogen: A critical review from technological development and environmental impact analysis perspective