Institute of High Performance Computing

Engineering Mechanics (EM)
The Engineering Mechanics (EM) Department aims to advance science and technology in the fields of mechanics, mechanical and
thermal properties of materials and mechanical and thermal engineering by using and developing novel computational models, methods and tools. Key to this is the use of computer simulations to discover the new fundamental understandings in mechanical and thermal science, mechanical and thermal engineering and their coupled fields, and to solve engineering problems in relevant industries in order to enhance their competitiveness and productivity.
The Engineering Mechanics (EM) Department’s mission is to advance science and technology related to mechanics, the mechanical properties of materials and mechanical engineering by using and developing novel computational methods and techniques.
The Department’s capabilities enable researchers to deal with the behavior of mechanical systems ranging from nano scale, through micro scale, and all the way to macro scale.
Utilizing the resources of high performance computing (HPC), researchers of the EM Department are able to power 6 major research directions spread across 3 capability groups:
Engineering Systems
Nano Systems
Soft Matter
Structural Safety & Reliability
Structural Dynamics Analysis
Growth of Nanostructures
Nanostructures & Interfaces
Hydrogel
Flexible Systems
Fluid Dynamics
Dr. Lou Jing
Department Director
The mission of the Fluid Dynamics (FD) Department is to develop new modelling and simulation methods for fluid mechanics, thermal management and fluid related multi-physics phenomena. The research focuses on advancement of the fluid physics and discovery of new fluid behaviour, as well as to support industry innovation and technology through simulation and optimisation.
Multiphase Flow
Fluid Structure Interaction
Environmental Modeling
Materials Science and Engineering
Dr. Michael Sullivan
Department Director
The Materials Science and Engineering (MSE) Department aims to use modelling and simulation techniques to advance materials science and target leading edge applications relevant for industry especially the consumer care, chemical, aerospace, electronics, oil and gas, and marine and offshore industries. MSE researchers combine atomistic simulations with other methods including informatics, CALPHAD and phasefield methods to understand bulk properties.
Interfaces (IF)
Microstructure (MS)
Functional Materials (FM)
Applied Thermodynamics (AT)
Electronics and Photonics
Dr. Jason Png Ching Eng
Department Director
The mission of the Electronics and Photonics (EP) Department is to advance the fields of photonics, plasmonics, and radio frequency / microwave science and technologies by leveraging and developing novel computational modelling techniques.
The Electronics & Photonics (EP) Department exploits the use of High Performance Computing (HPC) resources in the research of advanced computational electromagnetics, sensing and high speed communications. The EP department consists of three Capability Groups (CG), which develop the capabilities in three research thrusts, and apply them in four different application areas (classified as programmes).
The three groups are
Photonics & Plasmonics (PnP Group)
RF Engineering (RF Group)
Emerging Algorithms and Models (EAM Group)
The four programs which cut across all the CGs are
Healthcare
Aerospace
Communications
Urban Living
Computing Science
Dr. Rick Goh Siow Mong
Department Director
The Computing Science (CS) Department develops techniques that draw out the efficiency, insight and intelligence in computing to empower scientific discovery and technological advances over a wide spectrum of real-life applications. The capabilities offered by the CS Department can enhance the performance of software codes, scale up computing throughput of applications, process of a wide variety of data types, provide value and insight into data, create intelligent systems that can interact in a socially-appropriate manner, and provide methods for understanding complex interactions between systems.
The CS Department consists of six Capability Groups that oversees the several key research areas. In addition, several programmes tackle application areas through various cross-cutting technologies derived from the different capability groups.
High Performance Computing
Distributed Computing
Model-Based Engineering
Geometrical Modelling
Intuitive Interaction Technologies
Complex Systems
Social and Cognitive Computing
Dr. Quek Boon Kiat
Department Director
The Social and Cognitive Computing (SCC) Department aims to develop adaptive technological capacities for the new social era. The research programmes are grounded in multi-disciplinary research and advanced engineering domains in psychological measurement, data analytics, computational modelling, machine cognition, human-machine interactions, ubiquitous sensing and data storage.
Researchers in the SCC Department develop techniques that draw out the efficiency, insight and intelligence in computing to power scientific discovery and technological advances.
The SCC Department develops advanced social computing and social informatics solutions to study people-centric issues and human behaviour. Our mission is to create technologies that keep Singapore ahead in the Social Era using our innovation in high performance computing, big data analytics, computational modelling and socio-behavioural sciences.
Psychometrics and Decision Science (PDS)
Collaborative Thinking and Technologies (CTT)
Social Intelligence (SI)
Integrative Psychological Modelling (IPM)
Cognitive Systems (CSG)
Music Cognition