Chemical Engineering and Advanced Materials Research Staff in Singapore

Our academic staff located in Singapore actively conduct research for industry and government in many diverse fields of interest. The table below introduces our key staff members and current research interests:

School of Chemical Engineering and Advanced Materials
Name Research Interests Include:
Dr Kamelia Boodhoo
Senior Lecturer

Kamelia Boodhoo

Process Intensification - Development and application of continuous flow systems with improved processing capabilities and reduced environmental impact, with particular emphasis on centrifugal field technologies such the Spinning Disc Reactor.

Green and Sustainable Engineering - Application of process intensification technologies to applications involving green chemistry and engineering and renewable resources such as the use of biomass in intensified fermentation to produce biopolymers such as PHA.

Polymerisation - Development of greener processes for polymerisation such as surfactant-free emulsion polymerisation and solvent-free homo- and co-polymerisations.
Dr. Chuanzhao LiĀ  Lecturer

Chuanzhao Li

Process development for chemicals, pharmaceuticals and speciality chemicals - Pilot plant/test, process scale-up/scale-down, evaluation and simulation, design and modification; Process engineering.

Reaction engineering and catalysis - Combine various spectroscopy and chemometrics tools to look at complex reactions/catalysis to understand the mechanisms and kinetics for process development.

Biomass conversion to chemicals - Identify viable feed-stocks and routes to make high value-added chemicals and polymers from biomass.
Dr Cindy Lai Yeng Lee
Lecturer

Cindy Lee

Micronization, microencapsulation and drying of active ingredients using supercritical CO2 technologies for application in food, pharmaceutical and nutraceutical industries.

Design, production and characterization of nutraceutical and pharmaceutical microcapsules to achieve sustained release, enhanced functionality, shelf-stability, and taste/odor masking.

Production of micro-porous bio-polymeric foams using supercritical CO2 for applications as drug or protein releasing implants and as scaffold in tissue regenerative studies.
Dr Sagheer Onaizi
Lecturer

Sagheer Onaizi

The application of enzymatic-catalyzed reactions in wastewater treatment and renewable energy production.

The development and optimization of clean and sustainable technologies to prevent/minimize environmental pollution through, for examples, the use of microalgae for CO2 capturing and biofuel production; the use of biological fuel cells for wastewater treatment and energy/hydrogen production; and the use of microbes for the desalination of saline water.

Studying the interactions in bio-systems in order to understand the mechanisms of some diseases and thus design preventive/curing measures.
Dr Jonathan Powell
Lecturer

Jonathan Powell

Ceramics, cemented carbide and cermet processing and shaping: Formulation and shaping of ceramic and cermet bodies into complex geometries such as laminated micro-tubes, coolant hole drills, catalyst monoliths and extrudates with non-continuous cross sections.

Structured fluids and semi solids: Rheology and flow properties of structured fluids and semi solids and control of these properties via formulation and processing for improved product properties.

Chemical looping and chemical looping reforming: Low carbon emission technologies for power generation and hydrogen production from fossil fuels, in particular chemical looping and chemical looping reforming.
Dr Ming Tham
Director of Operations/Sub Dean

Ming Tham

Process Systems Engineering.

Process data analysis and reconciliation; signal processing; the problems associated with lack of process measurements for automatic feedback control; predictive and robust control; statistical process control; non-linear control; process modelling and optimisation.

Approaches tend to be problem driven rather than technique or process based. Involvement in the development of solutions using time series; neural networks; genetic programming; multivariate statistics and differential geometric techniques.