Research Areas
ICSI's research environment is characterized by open communication among its research areas. Research directions are determined largely by the interests of principal investigators and are frequently interdisciplinary.
The Institute comprises six research areas:
- Artificial Intelligence and Big Data Group examines algorithmic and statistical aspects of large-scale data analysis and is led by Professor Michael Mahoney;
- Robust Deep Learning Group advances the development of deep learning models that are robust to various types of perturbations, including adversarial attacks, noisy data, and domain shifts and is led by Dr. N. Benjamin Erichson;
- Extensible Internet Group tackles the task of fundamentally changing the internet to achieve goals such as better performance and greater security without changing the core IP protocol and is led by Professor Scott Shenker;
- Networking and Security Group studies Internet architecture, related theoretical questions, and network security and is led by Mark Allman and Professor Vern Paxson;
- Usable Security and Privacy Group examines how human factors impact privacy and security and is led by Dr. Serge Egelman;
- Research Initiatives Group expands ICSI's traditional research horizons, serves as an incubator of research outside ICSI's principal research areas, and provides additional opportunities for cutting-edge and experimental work on a range of topics in the computing and data sciences, and related fields, such as digital twins, cyber security, geospatial technologies, and more. This group is driven by the interests of our investigators, and is led by Dr. Lea Shanley.
ICSI has supported active research programs in several other areas over the years, driven by the interests of our investigators. Examples of previous areas of focus that are not currently active include computer vision, audio and multimedia, and Natural Language Processing.