Brief Introduction of School of Computer Science and Engineering, Nanyang Technological University, Singapore

The School of Computer Science and Engineering of Nanyang Technological University in Singapore is the world's leading school of computer science and engineering education, research and innovation. Let's have a look.

I. Employment prospects

Through lifelong learning and research, computer science and engineering education are injected to cultivate entrepreneurial leaders. Create innovative research solutions for the future challenges of sustainable development.

Second, the research field.

Professors from the School of Computer Science and Engineering of Nanyang Technological University, as well as their doctoral students and researchers, discuss exciting topics in the field of computer science and engineering to promote the most advanced technology. The following is a brief overview of the research areas:

Hardware and embedded systems: low-energy hardware, hardware acceleration, architecture-aware algorithms, reconfigurable computing, embedded sensors, multi-function sensors and IP-enabled devices.

Network security and forensics: data privacy, privacy protection analysis, malware analysis, formal system verification, mobile device security, network attack attribution, dark network monitoring, botnet detection, encrypted data processing, biometrics and network forensics. Data management and analysis: spatio-temporal database, graphic structure database, big data analysis, predictive analysis, social media analysis, question and answer system, emotional analysis.

Computational intelligence: cognitive and nervous system, decision support system, evolution, meme and statistical learning, fuzzy system, intelligent multi-agent, intelligent system and equipment, machine learning and natural heuristic system. Computer vision and language: computer vision, multimedia, image processing, video analysis, voice and signal processing, three-dimensional geometric modeling, fringe pattern analysis, machine translation.

Graphics and interactive computing: human-computer interaction, user experience design, augmented reality, avatar behavior modeling, serious games and gamification. Parallel and distributed computing: distributed system/computing (collaboration technology, p2p system, sensor network, theory and algorithm), high-performance computing (grid and cloud computing, GPGPU, performance optimization and tools) and large-scale simulation (agent-based simulation), decision support system, virtual environment). Biomedical informatics: diagnostic instruments, advanced medical imaging and visualization, physiological models, bioinformatics and computational biology, medical quantitative methods, health care information systems, safe telemedicine and clinical data mining.

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