Biomass-derived adsorbents for efficient removal of contaminants from water resources

MOF-based adsorbents engineered for targeting and eliminating persistent organic pollutants in aquatic environments

Anodic nanostructures for advanced (photo)electrochemical breakdown of organic pollutants in water

Heterojunction catalysts for photocatalytic degradation of emerging water contaminants

Impregnated natural zeolites as intake filters in gasoline and diesel engines to improve fuel performance and cut harmful emissions

Functionalized nanoparticles designed for highly sensitive detection of environmental pollutants and biologically important molecules

Nanoparticle-based sensing platforms that deliver rapid, accurate identification of contaminants in environmental systems

Hybrid nanomaterial sensors for monitoring of hazardous contaminants in water

Fire-retardant coatings derived from renewable resources for construction materials, combining superior flame resistance with sustainability

Corrosion protection coatings formulated from bio-based compounds as eco-friendly replacements for conventional treatments

Surfactants from bio-based sources engineered to enhance crude oil recovery while reducing environmental impact

Superhydrophobic and superoleophilic coatings applied to oil-disk skimmers for faster, more effective oil spill remediation

Bio-based phase change materials (PCMs) for latent heat thermal energy storage, enabling efficient energy capture and release

Waste valorization through optimized processes and reactor design for sustainable renewable energy generation

Photocatalytic and photoelectrochemical systems for solar-driven hydrogen production and clean fuel generation

Density functional theory (DFT) for the design of next-generation semiconductors, 2D materials, and high-entropy alloys with targeted properties

Grand Canonical Monte Carlo (GCMC) simulations for developing tailored adsorbents optimized for specific environmental applications

Molecular dynamics (MD) simulations to model and reveal adsorption mechanisms at the atomic scale

High-throughput virtual screening combined with molecular dynamics simulations for designing and refining novel drug therapies

Ligand-based and structure-based drug design strategies to identify, optimize, and validate promising drug candidates

Generative AI-driven de novo drug design for anticancer therapies, leveraging predictive algorithms to accelerate discovery and development

Active teaching approaches encompassing assessment, benchmarking, curriculum development, pedagogical innovation, educational technologies, and accreditation standards

Evolving perspectives on established pedagogical principles to enhance learning effectiveness and engagement

Student-centered initiatives for welfare, recruitment, retention, and smooth academic transitions across program levels

Advancing chemical engineering processes and systems through research-driven technological development

Computational fluid dynamics (CFD) and process simulation for accurate modeling, design, and optimization of complex operations

Optimized plant design strategies that improve process performance, promote sustainability, and achieve operational excellence