Faculty Recruiting Support CICS

Research Labs and Groups

Biomedical Informatics Natural Language Processing (BioNLP) Laboratory

The BioNLP lab conducts research on information retrieval, machine learning, and natural language processing, with a focus on biomedical applications. Our goal is to extract information from the vast amount of unstructured data in the biomedical domain, such as electronic health record (EHR) notes and scientific articles. We have developed and built systems for biomedical question answering, adverse drug event detection, biomedical figure search, EHR note comprehension, and healthcare outcome predictions, among others.

Autonomous Mobile Robotics Laboratory (AMRL)

The Autonomous Mobile Robotics Laboratory (AMRL) does research in robotics to continually make robots more autonomous, accurate, robust, and efficient, in real-world unstructured environments. We are working on a wide range of problems, including perception for long-term autonomy, high-speed multi-agent planning in adversarial domains, time-optimal control for omnidirectional robots, and autonomous multi-sensor calibration in the wild.

Advanced Human & Health Analytics (AHHA) Laboratory

The AHHA laboratory aims to understand human movements and the associated health conditions using wearable and ambient sensors. With a primary focus on evolution, the AHHA lab is particularly interested in 1) designing and implementing novel sensors and remote monitoring systems that are motivated by practical medical needs, 2) constructing appropriate clinical trials, and 3) implementing computational models to analyze the obtained data and extract clinically relevant information.

Secure, Private Internet (SPIN) Research Group

The Secure, Private Internet (SPIN) Research Group aims at making Internet communications secure and private. Towards this, we analyze the security and privacy provided by existing network protocols, tools, and services, based on which we propose design adjustments to regain users' security and privacy, or devise clean-slate Internet communication tools. Our work combines the development of practical systems with rigorous theoretical analysis and incorporates techniques from various disciplines such as computer networking, cryptography, and statistics.

Statistical Social Language Analysis Lab

The Statistical Social LANGuage Analysis Lab (SLANG), develops natural language processing and machine learning methods to help scientific investigation about political and social trends.  For example, we analyze Congresisonal bills, news about political events, and sentiment in social media.  We are affiliated with research groups for data science, information retrieval, and computational social science here at UMass.

Theoretical Computer Science Group

Theoretical Computer Science is the quantitative and formal study of computing: which problems can be solved? what resources (for example, time or memory space) are required to solve them? The group's faculty specialize in a variety of areas, including the complexity of algebraic computations, the complexity of parallel computation, the descriptive complexity of computation, and the theory of parallel and distributed processing.


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