Areas of Research — Start Your Research Journey

Machine Learning in chemical engineering involves training algorithms to recognize patterns in process data, predict system behavior, and optimize operations without being explicitly programmed. It encompasses supervised, unsupervised, and reinforcement learning techniques applied to reactor modeling, fault detection, and process optimization.

Adsorption research focuses on the phenomenon where molecules from a gas or liquid phase adhere to the surface of a solid material. It plays a critical role in separation processes, gas purification, carbon capture, and the design of industrial adsorbents for environmental and energy applications.

Photocatalysis investigates the acceleration of chemical reactions using light energy and a catalyst, typically a semiconductor material. Research in this area covers degradation of pollutants, hydrogen generation from water splitting, and the development of novel photocatalytic materials for clean energy and environmental remediation.

Process Systems Engineering applies mathematical modeling, simulation, optimization, and control theory to the design and operation of complex chemical and industrial processes. It bridges fundamental science with practical engineering by integrating tools from systems theory, computing, and data analytics.

Colloid and Interfacial Phenomena studies the behavior of systems where matter exists at the boundary between two phases — such as liquid-liquid, solid-liquid, or gas-liquid interfaces. This area underpins the science of emulsions, foams, suspensions, and surface forces, with applications in food, pharmaceuticals, and materials science.

Battery research encompasses the design, characterization, and modeling of electrochemical energy storage systems including lithium-ion, sodium-ion, and zinc-ion batteries. Work spans electrode material synthesis, electrolyte development, cell architecture optimization, and physics-based computational modeling to improve energy density, cycle life, and safety.

Granular Physics explores the mechanical and flow behavior of collections of discrete solid particles, such as powders, grains, and granules. Understanding granular dynamics is essential for industries dealing with bulk solids handling, pharmaceutical tablet manufacturing, food processing, and geophysical phenomena like avalanches and landslides.

Nanobiotechnology sits at the intersection of nanotechnology and biology, focusing on the design and application of nanoscale materials and devices for biological and medical purposes. Research includes nanoparticle synthesis for targeted drug delivery, biosensing, tissue engineering scaffolds, and the study of nano-bio interactions at the cellular level.

Renewable Energy and Sustainability research addresses the development and optimization of clean energy technologies such as solar, wind, biofuels, and green hydrogen. It also encompasses life cycle assessment, carbon footprint reduction, circular economy principles, and the engineering of sustainable industrial processes to mitigate climate change.

Artificial Intelligence in engineering focuses on building intelligent systems capable of reasoning, learning, and decision-making in complex process environments. It includes deep learning, neural networks, natural language processing, and knowledge-based systems applied to process design, predictive maintenance, and autonomous plant operations.

Surface Engineering of Polymer and Metal Surfaces involves modifying the surface properties of materials — such as wettability, adhesion, corrosion resistance, and biocompatibility — through chemical, physical, or biological treatments. Applications range from anti-fouling coatings and biomedical implants to functional films for electronics and packaging.

Metal-Organic Frameworks (MOFs) are highly porous crystalline materials composed of metal ions coordinated to organic ligands, forming a three-dimensional network. Research in this area covers their synthesis, characterization, and application in gas storage, selective adsorption, drug delivery, catalysis, and sensing due to their exceptionally high surface areas and tunable pore structures.

Food Process Engineering applies chemical engineering principles to the design and optimization of processes for food production, preservation, and quality enhancement. It covers heat and mass transfer in food systems, separation techniques like membrane filtration, extraction of bioactive compounds, cold sterilization, and the physicochemical characterization of food materials.

Microfluidics and Corrosion Simulation combines the study of fluid behavior at the microscale with computational modeling of material degradation in aggressive environments. Microfluidics enables precise control of chemical reactions and biological assays in miniaturized devices, while corrosion simulation helps predict and mitigate material failure in pipelines, reactors, and CO2 capture systems.

Energy and Environmental Sciences encompasses research aimed at developing cleaner energy systems and reducing the environmental impact of industrial processes. This includes carbon capture and storage, effluent treatment, waste valorization, thermodynamic analysis of energy systems, and the development of materials and processes that align with global sustainability goals.

Soft Matter and Food Physics investigates the physical behavior of materials that are easily deformable by thermal fluctuations or mechanical stress — including gels, emulsions, foams, polymers, and biological tissues. In the context of food, it explores texture, rheology, stability, and the structural transformations that occur during processing, cooking, and digestion.

Molecular Simulation uses computational techniques such as molecular dynamics and Monte Carlo methods to model the behavior of molecules and atoms at the atomic scale. It provides fundamental insight into thermodynamic properties, phase behavior, diffusion, adsorption, and reaction mechanisms that are difficult or impossible to observe experimentally.

Biosensing involves the development of analytical devices that detect biological or chemical analytes with high sensitivity and selectivity using a biological recognition element coupled to a transducer. Research spans electrochemical, optical, and piezoelectric biosensors with applications in medical diagnostics, environmental monitoring, and food safety.

Data Science in the context of chemical and process engineering involves extracting meaningful insights from large, complex datasets generated by industrial processes, experiments, and simulations. It integrates statistical analysis, signal processing, dimensionality reduction, and visualization to support process understanding, monitoring, and decision-making.

Process Control focuses on designing and implementing strategies to maintain chemical and industrial processes at desired operating conditions despite disturbances and uncertainties. It covers classical PID control, advanced model predictive control, system identification, and the integration of data-driven methods to ensure safe, efficient, and stable process operation.

Biomaterials research involves the design, synthesis, and characterization of materials intended to interact with biological systems for medical or therapeutic purposes. This includes polymeric scaffolds for tissue engineering, hydrogels for drug release, biocompatible coatings, and nanostructured materials that mimic the extracellular matrix to support cell growth and regeneration.

Microfluidics is the science and engineering of manipulating small volumes of fluids — typically in the microliter to picoliter range — through channels with dimensions of tens to hundreds of micrometers. It enables precise, high-throughput experimentation in a miniaturized format, with applications in lab-on-a-chip diagnostics, chemical synthesis, single-cell analysis, and point-of-care testing.