The CSDSE division at NYU Shanghai is a vibrant and innovative hub for cutting-edge research and education in the fields of computer science and data science. With a strong commitment to academic excellence and a global perspective, everyone from our undergraduates to the faculty members plays a pivotal role in shaping the future of technology and addressing tomorrow’s problems today.
The CSDSE division is composed of researchers interested in a variety of disciplines in computer science, from machine learning, to systems, and the theoretical foundation of computer science.
Machine Learning & Artificial Intelligence
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Affiliated Faculty
Systems & Networking
Computer systems and networks are the core of computer science. They transform computer hardware into a useful tool and play a crucial role in modern technology and society. From the ubiquitous mobile phone to the intricate high-performance computing clusters, nearly every digital facet of our daily lives relies on the intricate and seamless operations of the systems and networks. Our group conducts research that not only advances the understanding of computer systems and networking but also affects real-world change. Our research direction encompasses a range of exciting and impactful areas, including,yet extending beyond, the realms of scalable network architectures, high-performance distributed systems, energy-efficient networking, and security and privacy in networks.
Faculty Members
Affiliated Faculty
Algorithms & Theory
What is the nature of computation? Can we design more efficient algorithms? What are the fundamental limits of computation? How can we use these limits to secure our digital life? These questions are related to the mathematical foundations of computer science. Using computational models, an important goal is to understand what is possible or not with a certain amount of resources (e.g., time or space). At NYU Shanghai, our strong and diverse theoretical computer science group seeks answers to these questions with a particular interest in the following areas: algorithms, data structures, computational geometry, complexity theory, cryptography and mathematical foundations of machine learning.
Faculty Members
HCI & Visualization
Faculty Members
Affiliated Faculty
Data Mining & Urban Analytics
Faculty Members
NLP & Multimodal AI
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Cryptography & Security
Faculty Members
Multimedia, Music Tech & Creative AI
Faculty Members
Affiliated Faculty