School of SCIENCE 9 8 Artificial Intelligence (AI) Artificial intelligence research focuses on studying and developing methods to understand and perform tasks that typically require human intelligence. AI encompasses a very wide range of techniques and approaches, which include machine learning, deep learning, natural language processing, knowledge representation, computer vision, robotics, and expert systems. • Artificial Intelligence Machine learning, data mining and pattern recognition, knowledge representation and reasoning, robotics and sensorbased activity recognition, multi-agent and game theory, and speech and language processing. • Vision and Graphics Computer vision, computer graphics, medical image analysis, biometric systems, and video processing. Data Science (DS) Data Science research focuses on using statistical and computational methods to extract insights and knowledge from data. It encompasses several areas of research within our department, including databases, human-computer interaction, visualization, and theoretical computer science. • Data, Knowledge and Information Management Large-scale data management, modeling and distribution encompassing web query processing, information retrieval and web search, data mining, enterprise systems, high-performance data management systems on modern computers, and database support for science applications. • Human-Computer Interaction Extended reality, multimodal interaction, crowdsourcing, multimodal communication, affective computing, visual analytics of big data, intelligent interface for robots and intelligent agents, e-learning, healthcare, e-commerce, and computational design. • Theoretical Computer Science Design and analysis of algorithms, data structures, computational geometry, information theory, coding theory, cryptography, and database theory. Systems (SY) Computer systems research tackles challenges in the design and implementation software and hardware methods to perform specific tasks or functions. It often involves the development of hardware and software technologies that can be used to solve complex problems. This theme encompasses cybersecurity, networking, cloud computing, mobile systems, software engineering and programming languages. • Cybersecurity Cryptography, information security, the interplay between cryptography and coding theory, blockchain security, smart contracts, distributed systems security, applied cryptography, formal verification logics for security hyperproperties, artificial intelligence security, software security, systems security, network security, web security, reverse engineering. • Networking and Computer Systems Pervasive computing and sensor networks, peer-to-peer computing, grid computing, high-performance switches and routers, video delivery and multicasting, multimedia networking, MAC protocols for ad-hoc networks, web cache management, DDOS detection and defense, and resource management and allocation in optical networks. • Software Engineering and Programming Languages Program Analysis and Testing, Empirical Software Engineering and Mining Software Repository, Formal Semantics and Verification, Concurrency and Parallel Programming, Compilers and Program Optimization, Foundations of Software and Type Systems, and Blockchain, Smart Contracts and Decentralized Applications. Research Foci Department of Computer Science and Engineering cse.hkust.edu.hk Research of Department of Computer Science and Engineering is organized into three major themes: Artificial Intelligence, Data Science, and Systems. Each theme has its own set of research goals and challenges. While our research areas are categorized into one of these themes, many reflect a diverse range of sub-topics and practical applications, which can often straddle these boundaries.
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