Machine Learning, Information, Network, Communication and Data Sciences Research
Machine learning, information, network, communication and data sciences form the foundation for how information is generated, transmitted and interpreted in modern technologies. Our faculty develop theories and data-driven methods that enable AI-assisted next-generation wireless communications, learning from signals and the creation and analysis of high-quality images and video. This research underpins the photo, television, streaming platforms and social media used across industries that are shaping how information is shared in a data-driven society.
Major industry sponsors include Qualcomm, Meta Platforms, YouTube, Google, Ericsson and Sony Interactive Entertainment.
Area Strengths
Theory and algorithms for learning from data, including scalable, interpretable and robust machine learning methods.
Fundamental limits of data representation, compression and communication.
Mathematical and algorithmic foundations of reliable, efficient communication and networked systems.
Methods for analyzing, processing and extracting information from signals, images and digital video.
Statistical modeling, inference and data-driven decision making across large and complex datasets.
Research Areas
- Biomedical Engineering Research
- Integrated Circuits & Systems
- Computer Engineering Research
- Electromagnetics, RF and Microwaves Research
- Machine Learning, Information, Network, Communication and Data Sciences Research
- Photonics and Quantum Engineering Research
- Power Electronics & Energy Systems Research
- Systems and Controls Research