The Department of Computer Science has many research groups and labs.The Department of Computer Science has many research groups and labs.

Research
Groups & Labs

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AquaLab - Research in Distributed Computing

The AquaLab conducts research on large-scale distributed systems and networking. Its approach is mainly experimental, focusing on the design, deployment, and evaluation of systems that people use. This lab is headed by Fabián Bustamante.

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Artificial Intelligence Group

Artificial Intelligence (AI) research explores the nature of intelligence and the ways in which computation can be used to explain and engineer it. Work in AI combines the scale afforded by machine learning with the expressive and organizational power of semantic information-processing and knowledge-based reasoning. Our faculty research programs include work in machine learning, cognitive modeling, language understanding and generation, planning and reasoning, robotics and human-robot interaction, computational journalism, social media analysis, computer audition, computers and education, computational creativity, and legal reasoning.

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Assistive and Rehabilitation Robotics Laboratory

The Assistive and Rehabilitation Robotics Laboratory strives to advance human ability through robotics autonomy by easing the burden of controlling assistive machines. This lab is headed by Brenna Argall.

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Campanoni Lab

Research focuses on code compilation challenges for both energy efficiency and performance on commodity processors. These challenges are addressed by co-designing compilers, the computer architecture of the platform they target and programming languages. This lab is headed by Simone Campanoni.

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Center for Connected Learning and Computer-Based Modeling

Northwestern's Center for Connected Learning and Computer-Based Modeling is dedicated to the creative use of technology to deepen learning. This center is headed by Uri Wilensky.

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Cognition, Creativity and Communication (C3)

The C3 Lab is focused on bridging the gap between the wealth of data that surrounds us and the information that is hidden within it. Using the tools of natural language processing, data analytics, and cognitive modeling the C3 Lab builds systems that link people to the information and insight that serves them. C3 is led by Kristian Hammond.

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Delta Lab

The Delta Lab is an interdisciplinary research lab and design studio at Northwestern University. Its driving mission is to improve the way we design, work, learn, play, and fundamentally change the way we interact. This lab is headed by Haoqi Zhang.

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Center for Human-Computer Interaction + Design (HCI+D)

The Center for Human-Computer Interaction + Design (HCI+D) brings together researchers and practitioners from across the University to study, design, and develop the future of human and computer interaction at home, work, and play. The center, a collaboration between the McCormick School of Engineering and the School of Communication, pursues interaction paradigms to support a collaborative, sustainable, and equitable society.

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IDEAS - Design Automation of Intelligent Systems

IDEAS Lab aims to develop innovative design automation methodologies and algorithms for software synthesis of cyber-physical systems (CPS), which have applications in key sectors such as automotive, aerospace, healthcare, and industrial automation.

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Interactive Audio Lab

The Interactive Audio Lab applies machine learning, signal processing, natural language processing, and database search techniques to make new auditory tools and interfaces. This lab is headed by Bryan Pardo.

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Ka Moamoa – Mobile and Ubiquitous Computing Lab

Research at Ka Moamoa  explores energy efficient and mobile computing devices, like wearables, implantables, and energy harvesting sensors,  in the context of global scale applications ranging from healthcare to environmental engineering.

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Northwestern Lab for Internet and Security Technology

The Northwestern Lab for Internet and Security Technology works to improve the reliability, agility, and security of the current Internet, including wireless networks. This lab is headed by Yan Chen.

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Northwestern Networks Group

The Northwestern Networks Group conducts research on computer networking. This lab is headed by Aleksandar Kuzmanovic.

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NuLogiCS Group

Human intelligence lies on the capability of thinking. With the development of the programmable computer, slow thinking has found its solid foundation on computation. With the recent progress of machine learning, especially deep learning, fast thinking is discovering its root on learning. Logics is the foundation of both computation and learning. NuLogiCS group's goal is to build the new logic foundation for Artificial Intelligence (which needs a tight integration between computation and learning), and for Security (which needs a tight integration between cryptography and formal verification).

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Parallel Architecture Group at Northwestern

The Parallel Architecture Group at Northwestern (PARAG@N, pronounced “paragon”) conducts research in energy-efficient high-performance parallel computing at all scales through cross-layer design: from emerging devices and circuits, to computer architecture, compilers, runtimes, operating systems, and applications. This lab is headed by Nikos Hardavellas.

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Prescience Lab

The Prescience Lab conducts a range of experimental computer systems research with a current focus on virtualization, empathic systems, and parallel and distributed systems. This lab is headed by Peter Dinda.

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Qualitative Reasoning Group

The research of this group includes efforts to both create new kinds of cognitive systems and model human cognition. It has strong collaborations with other cognitive scientists in a number of fields at various institutions. This group is headed by Kenneth D. Forbus and Tom Hinrichs.

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Swarm Robotics Lab

Research interests interests include advancing the control and design of multi-robot systems, enabling their use instead of traditional single robots and to solve problems for which traditional robots are not suitable. Using these multi-robot systems can offer more parallelism, adaptability, and fault tolerance when compared to a traditional single robot. The lab is interested in investigating how new technologies will allow for more capable multi-robot systems and how these technologies impact the design of multi-robot algorithms, especially as these systems begin to number in the hundreds, thousands, or even millions of robots. This lab is headed by Michael Rubenstein.

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Tangible Interaction Design and Learning (TIDAL) Lab

TIDAL Lab is a team of designers, artists, learning scientists, and computer scientists at Northwestern University. Its research creates and studies innovative technology-based learning experiences. This lab is headed by Michael Horn.

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Technological Innovations for Inclusive Learning & Teaching (TIILT)

The Technological Innovations for Inclusive Learning and Teaching (TIILT) Lab aims to improve learning opportunities for students from under-served communities. This lab is headed by Marcelo Worsley.

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Northwestern CS Theory Group

Theoretical computer science looks at fundamental questions about computation by creating formal models of computation and understanding the resources needed to solve general and specific algorithmic questions.  TCS studies the design of efficient algorithms and understanding the computational complexity of various computational tasks that arise in computer science, statistics, economics and the other sciences.

The major research areas include design and analysis of algorithms, computational complexity, randomness in computation, combinatorial optimization, approximation algorithms, online algorithms. The theory group at Northwestern also has strong interests in using computation as a fundamentally new lens to study other fundamental sciences, leading to areas of algorithmic game theory, machine learning and bioinformatics.

VLSI Research Lab

The VLSI Research Lab at NU focuses on the areas of energy efficient computing with digital and mixed signal design approaches. We are dedicating our effort to explore new computing method for many emerging applications including energy efficient edge computing, accelerator designs for artificial intelligence, etc.

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