Noodle Lab
Accelerated Intelligence Lab
Faculty lead: Miao Yin
Building efficient intelligence systems for spatial AI, scientific computing, and multimodal media.
Our department has a number of teaching and research laboratories, centers and other facilities that support its educational and teaching mission. Its internationally recognized faculty members are engaged in breakthrough research across the leading areas of computer science and engineering.
Noodle Lab
Faculty lead: Miao Yin
Building efficient intelligence systems for spatial AI, scientific computing, and multimodal media.
ASS Lab
Faculty leads: Jia Rao and Hui Lu
Operating Systems, Virtualization, MLSys, Emerging Memory Technologies
ACL2
Faculty lead: Kenny Zhu
Decoding animal languages with AI
AIS
Faculty lead: Nicholas Gans
Making Autonomy Trustworthy
CGRL
Faculty lead: Faysal Hossain Shezan
Building Secure, Private, and Trustworthy Intelligent Systems
DBXLab
Faculty lead: Gautam Das
Exploring Data at Scale
GEM AI Lab
Faculty lead: Sihong He
Trustworthy multi-agent intelligence for the physical world
Graph Lab
Faculty lead: Yuede Ji
Scalable and Trustworthy AI Systems, built on graph-centric methods
IDIR
Faculty lead: Chengkai Li
From Data to Discovery
IoTelligence Lab
Faculty lead: Yoon Chae
Connecting Intelligence. Empowering Things.
LIDS Lab
Faculty lead: Ashraf Aboulnaga
Intelligence from Structured Data at Scale
NGC Lab
Faculty lead: Muhammad Rashed
Hardware–Software Co-Design of Novel Computing Paradigms
Qu-Sec Lab
Faculty lead: Remi Chou
Advancing quantum communication. Securing information.
QUEST Lab
Faculty lead: Xiaojun Shang
Networking the Quantum Frontier.
SMILE Lab
Faculty lead: Junzhou Huang
Learning from Complex Data for Scientific Discovery.
SCOPE Lab
Faculty lead: Allison Sullivan
Expanding the SCOPE of Software Correctness
THA
Faculty lead: Cesar Torres
Reimagining Computing Through Making.
VLM Lab
Faculty lead: Vassilis Athitsos
Researching vision, learning, and data mining.
WINS
Faculty lead: Yonghe Liu
Intelligent Connectivity, Resilient Systems.
Our faculty conduct research in eight general areas: Artificial Intelligence, Big Data and Data Science, Bioinformatics and Health Informatics, Computer and Network Systems, Human-Centered Computing, Security and Privacy, Software Engineering, and Theory. Each general area is divided into more specific focus areas.
Our faculty conduct research in eight general areas: Artificial Intelligence, Big Data and Data Science, Bioinformatics and Health Informatics, Computer and Network Systems, Human-Centered Computing, Security and Privacy, Software Engineering, and Theory. Each general area is divided into more specific focus areas.