A5069569198- Phase Equilibria and Thermodynamics
- Experimental Learning in Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Machine Learning in Materials Science
- Problem and Project Based Learning
- Computational Physics and Python Applications
- Microbial Inactivation Methods
- Material Properties and Processing
- Engineering Education and Curriculum Development
- Heat Transfer and Optimization
- Fluid Dynamics and Heat Transfer
- Evolution and Genetic Dynamics
- Fluid Dynamics and Mixing
- Viral gastroenteritis research and epidemiology
- Biomedical and Engineering Education
- Innovative Teaching Methods
- Innovative Microfluidic and Catalytic Techniques Innovation
- Mathematical and Theoretical Epidemiology and Ecology Models
- Scientific Computing and Data Management
- Bacteriophages and microbial interactions
- Parallel Computing and Optimization Techniques
- Higher Education Practises and Engagement
- Stochastic processes and statistical mechanics
- Gene Regulatory Network Analysis
- Microencapsulation and Drying Processes
Imperial College London
2018-2024
Massachusetts Institute of Technology
2020-2024
Cell Biotech (South Korea)
2023
Biocat
2023
IIT@MIT
2022
Institute of High Performance Computing
2020
Agency for Science, Technology and Research
2020
National University of Singapore
2015
This review explores the physical features of Cahn–Hilliard equation and how various thermodynamic models can be incorporated to study mixtures such as polymer blends.
The objective of the presented module is to train students with no background in process development and scaleup chromatographic processes a high level competency within 40 contact hours. key pedagogical approach "progression" where students' capabilities are gradually built up appropriate scaffolding provided at each stage their learning. broken into three steps, step covering different aspect chromatography. Knowledge gained one foundation for work next. In first step, investigate several...
Computational elements in thermodynamics have become increasingly important contemporary chemical-engineering research and practice. However, traditional instruction provides little exposure to computational thermodynamics, leaving students ill-equipped engage with the state-of-the-art deployed industry academia. The recent rise of easy-to-use open-source thermodynamic codes presents an opportunity for educators help bridge this gap. In work, we present a short course that was developed...
Students as partners (SaP) is becoming an increasingly common notion in higher education , but we continue to grapple with questions around how best involve our students the work do educators. Queries responsibility, accountability and trust are raised when considering SaP. Participatory action research presented from introductory chemistry module chemical engineering, whereby were actively involved at various stages of research, design development module. The spanned a 2-year period,...
Key components of any experiential learning module are the resources students use to learn. These typically include laboratory equipment, handouts, and instructional material in form videos or standard operating procedures (SOPs). Their design implementation require careful thought ensure that learn an effective meaningful way. From our own experience undergraduate teaching from a variety literature sources, we have identified five principles educators should consider integrate into their...
Nucleic acids such as mRNA have emerged a promising therapeutic modality with the capability of addressing wide range diseases. Lipid nanoparticles (LNPs) delivery platform for nucleic were used in COVID-19 vaccines and received much attention. While modern manufacturing processes which involve rapidly mixing an organic stream containing lipids aqueous are conceptually straightforward, detailed understanding LNP formation structure is still limited scale-up can be challenging. Mathematical...
Abstract Multicomponent polymer systems are of interest in organic photovoltaic and drug delivery applications, among others where diverse morphologies influence performance. An improved understanding morphology classification, driven by composition-informed prediction tools, will aid engineering practice. We use a modified Cahn–Hilliard model to simulate precipitation. Such physics-based models require high-performance computations that prevent rapid prototyping iteration settings. To...
Despite being a technology of several decades, high pressure homogenization (HPH) remains widely used in food and pharmaceutical industries, often as an essential unit operation liquid product processing. Continual advances the are made on multiple fronts, equipment innovations by manufacturers, new applications users, process understanding multidisciplinary scientists alongside subject matter experts amongst industry practitioners. While HPH is comparatively simple conceptually, involves...
Bioreactors are widely used in many industries to generate a range of products using various host cells e.g., yeast, insect, and mammalian cells. Depending on the process, product, cell, some bioreactors exhibit sustained periodic behavior key process variables such as metabolite concentrations, biomass, product titer. Such dynamical can arise from different mechanisms, including predator-prey dynamics, substrate inhibition, cell sub-population synchrony. Oscillatory is undesirable it impact...
Multi-component polymer systems are of interest in organic photovoltaic and drug delivery applications, among others where diverse morphologies influence performance. An improved understanding morphology classification, driven by composition-informed prediction tools, will aid engineering practice. We use a modified Cahn-Hilliard model to simulate precipitation. Such physics-based models require high-performance computations that prevent rapid prototyping iteration settings. To reduce the...
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