Participating Faculty Members
The artificial intelligence and machine learning group conducts state-of-the-art research in the broad area of artificial intelligence and applied machine learning. A sample of studied topics include computer vision, robotics, deep learning, and knowledge graphs.
The biomedical informatics group conducts research in biomedical and health natural language processing, communication and big data analytics. The group works on information retrieval, extraction, summarization, and human-computer interaction in biomedical applications.
Participating Faculty Members:
The computer systems and networks group does research in data and computer communication networks, mobile and wireless networks, Internet technologies and applications, operating systems, and ubiquitous computing.
The databases and data mining group performs state-of-the-art research in data management, data science, and data analytics, with topics including data streams and sequence mining, machine learning models for data processing, graphs and social networks, Internet of Things, and data security and privacy. We also work on spatio-temporal databases and cloud computing.
The Programming Languages group studies the foundations of programming language design to increase the safety of software systems and the productivity of practicing programmers.
The security and privacy group conducts research in network security and privacy, Internet of Things (IoT) security and privacy, digital forensics, network quality of service (QoS), database security, and privacy in published data and cloud computing.
UMass Center for Digital Health (CDH) website
The center for digital health is a multi-campus UMass partnership. It serves as a hub for research activities in digital health innovations, validation and evaluation of tools for digital health, academe-industry partnerships in digital health, consultancy and technology transfer for digital health, and education for the digital health workforce. Our research cover some of the most challenging issues in digital health. For example, we contribute to solutions for critical healthcare problems in at least three areas: aging populations, chronic disease, and health disparities.