Call for Papers: BCEE-27

Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields:

Core Transport Phenomena & Thermodynamics

• Mass Transfer and Membrane Separation
• Heat Transfer and Thermal Unit Operations
• Fluid Mechanics and Rheology of Biological Fluids
• Chemical and Biological Process Thermodynamics
• Phase Equilibria and Solution Chemistry

Chemical Reaction Engineering & Catalysis

• Kinetic Modeling and Reactor Design
• Heterogeneous and Homogeneous Catalysis
• Enzyme Kinetics and Biocatalysis
• Multiphase and Microfluidic Reactors
• Polymerization Engineering

Bioscience & Biochemical Engineering

• Microbial Biotechnology and Fermentation Technology
• Bioprocess Systems Engineering and Upstream Operations
• Downstream Processing and Bioseparations
• Metabolic Engineering and Synthetic Biology
• Applied Biomolecular and Cellular Mechanics
• Industrial Microbiology and Bio-manufacturing

Environmental Engineering & Water Resources

• Industrial Wastewater Treatment and Biological Purification
• Air Pollution Abatement and Gas Purification
• Solid and Hazardous Waste Management
• Soil Remediation and Bioremediation Technologies
• Environmental Diagnostic Analysis and Risk Assessment
• Ecotoxicology and Pollutant Transport Modeling

Circular Economy & Sustainable Technologies

• Resource Recovery and Waste Valorization
• Biomass Conversion and Biorefinery Technologies
• Carbon Capture, Utilization, and Storage (CCUS)
• Life Cycle Assessment (LCA) and Environmental Footprinting
• Green Chemistry and Sustainable Solvent Systems

Materials Science & Sustainable Biomaterials

• Polymer and Functional Materials Science
• Bioplastics and Biodegradable Polymers
• Nanomaterials and Soft Matter
• Surface and Colloid Chemistry

Process Systems, Simulation & Computation

• Computer-Aided Process Design and Optimization
• Molecular Modeling and Molecular Dynamics Simulations
• Process Dynamics, Control, and Automation
• Computational Fluid Dynamics (CFD) for Process Systems
• Data-Driven Modeling and Machine Learning in Process Engineering