MPhil in Computer Science and Engineering (Scientific Computation Concentration)
Hong Kong, Hong Kong
DURATION
2 up to 4 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Request earliest startdate
STUDY FORMAT
On-Campus
* contact us for more information
Key Summary
Scholarships
Explore scholarship opportunities to help fund your studies
Introduction
Scientific computation is among the fastest-growing multidisciplinary research area and it serves as a bridge between the traditional domains of theoretical and experimental sciences.
Computation research covers many areas in science and engineering. The multidisciplinary nature of computational science and its wide-ranging scope means that its training and research can best be integrated into different disciplines to equip students with a solid foundation of knowledge in focused areas.
This concentration is intended for research postgraduate students who are interested in pursuing research in computation-related research. Students can enroll in a particular discipline for research with a special focus on Scientific Computation.
The Scientific Computation Concentration is open to research postgraduates in the School of Science and the School of Engineering.
Admissions
Curriculum
Research Foci
Computational Biology and Bioinformatics
- Computational structural biology
- Bioinformatics
- Computational neuroscience models of multisensory integration and motion sickness
Computational Fluid Dynamics and Soft-Matter Simulation
- Multi-scale phenomena at fluid-solid interfaces
- Kinetic methods for continuum and near-continuum flows
- Multi-scale coupled circulation-ecosystem simulation in the ocean
- Supersonic convection and radiation-convection transition in astrophysics
- Large-scale flow structures and their effects in turbulent thermal convection
- Phase transitions in colloids
Computational Material Science
- Discovery and design of wave-functional meta-materials and photonic crystals
- Catalyst design
- First-principles and phenomenological modeling of nanomaterial
- Spin dynamics in nanostructures
- Dislocation dynamics
Efficient High-performance Computing Systems
- Energy and cost-efficient computing systems
- Merged scale-up and scale-out computing systems for HPCs and data centers
Environmental and Atmospheric Modeling
- Real-time air quality analysis
- Development of an operational air quality prediction system
- Numerical investigation of air pollutant inception: the role of humidity
- Collisions and diffusion of water clusters on hydrophilic and hydrophobic surfaces for chip/device cooling
- Multiscale simulation of thermal conductivity of nanomaterials for thermal management
High-Performance Computing and Data Analysis
- High-performance deep learning
- Big data analytics
Information Statistical Physics and Big Data Analysis on Networks
- Stability, reliability, and robustness of power grids
- Social network: dynamics of opinion formation and community detection
- Random walk and games
- Analysis of big data using evolutionary computation and quantum genetic algorithm
- Agent dynamics and artificial life in econophysics