Research Labs & Centers
In addition to the many teaching and general purpose labs, CDM is host to a number of specialized labs designated to specific research areas. These labs are equipped with advanced technology, software and experimental tools to support faculty and students in their research endeavors.
American Sign Language (ASL) Research
This lab enables the ASL research team to work toward automatic translation of English into American Sign Language, the language of the Deaf in North America. American Sign Language is not English coded as signs but an entirely different language from English with its own unique structure. Automated English-to-ASL translation will increase Deaf access to the hearing world. Recently, the team used the lab to allow members of the deaf community to test software that demonstrates fingerspelling. For more information visit the ASL project website or write
Center for Web Intelligence
The Center for Web Intelligence, directed by Professors Bamshad Mobasher and Robin Burke, is a research group that focuses on the development of intelligent techniques and applications for the World Wide Web, including automatic Web personalization, recommender systems, e-business intelligence, Web usage and content mining, and intelligent Web agents for information filtering. The Center conducts and promotes research in these areas, as well as providing a central resource and repository for researchers and practitioners. The Center also aims to generate interaction with industry and peer groups through workshops, joint projects, and technology transfer.
Database Optimization and Forensic Analysis Lab
The Database Optimization and Forensic Analysis hosts MS and PhD students who are working on understanding and improving databases both from security and performance perspective. Forensic analysis addresses database storage recovery after a failure or data corruption has occurred. On larger, distributed scale this also leads to researching techniques for discovering incriminating evidence (e.g., financial fraud cases) and proving wrongdoing (e.g., cases of data theft). Performance optimization builds on similar internal analysis to improve the runtime of database queries. For more information, visit the DOFA website:
Deep Games Lab
Deep Games Lab is a cross-disciplinary design, research, development and assessment game lab. Faculty, students, and industry collaborators make and evaluate games, interactive documentaries and transmedia projects that aim to promote personal and social change. This work builds bridges between students and faculty, academia and industry, producers and users, and different departments within DePaul. For more information, visit:
Deep Games Lab.
DeMobile: 5G Cellular Network Lab
The DeMobile: 5G Cellular Network Lab supports research and experimental learning in the field of cellular networks. Two fully functional LTE/LTE-Advanced networks with additional SDR testbeds for 5G experimentation allow faculty and Ph.D students to explore various types of cellular network attacks, develop cellular network forensics tools, experiment with new radio access types for cellular Internet-of-Things, and create solutions for use of cellular networks for disaster management (e.g. flying cell-on-wheel, cell-on-light-vehicles). The lab is established and directed by Filipo Sharevski, Ph.D
DePaul Center for Data Mining and Predictive Analytics (DaMPA)
DePaul Center for Data Mining and Predictive Analytics (DaMPA) is a research, educational, and collaborative center that focuses on the applications of data science. The center is a joint venture incorporating faculty from several colleges and disciplines across DePaul University. The research focus of the Center is the development of innovative tools and methods in data mining, predictive analytics, and machine learning, as well as the application of these techniques in areas such as intelligent Web systems, social computing, business intelligence, healthcare, hospitality, marketing, image analysis, and more. The Center seeks partnerships with industry as well as educational and non-profit organizations to plan and conduct joint analytics projects that provide graduate students with an invaluable opportunity to work on real-world problems and to gain problem-solving experience in data science.
Divergent Design Lab
Divergent Design Lab is a research and design lab which focuses on interface, play, collaboration, and distribution. Critical design is used to decode value systems and encode underrepresented ideas. Project involved producing interactive experiences through emerging media practices.
The iD-Lab (Innovation and Development) exists to provide students the opportunity to deliver innovative software while gaining practical development experience. We practice the Agile Methodology, to prepare our students for working on real world software development projects. The focal point of our research are the methodologies that foster innovation. The iD-Lab partners with a diverse range of firms such as Allstate and CareerBuilder. The foundation of this partnership is our ability in turning their innovative ideas into functional prototypes. Please visit our website for more information:
Intelligent Multimedia Processing (IMP) Lab
The Intelligent Multimedia Processing (IMP) Laboratory hosts the research activities of the Visual Informatics and Data Analytics (VIDA) Group. The mission of the lab is to develop machine learning and computer vision algorithms for intelligent multimedia processing applications. Current projects include the 21st Century Technologies Learning Analytics Project, a collaborative effort with School of Design in the College of Computing and Digital Media, and Identifying Gene Functions using Image Analytics, a collaborative project with Rosalind Franklin University. For more information, please visit the VIDA group at:
Laboratory for Interactive Human-Computer Analytics (LIHCA)
Laboratory for Interactive Human-Computer Analytics (LIHCA) The Laboratory for Interactive Human-Computer Analytics (LIHCA) studies principally Human-in-the-Loop analytics (sometimes called Interactive Machine Learning or Human-Centered Machine Learning), a new field in understanding data by leveraging machine learning and interactive visualization simultaneously. We study ways to integrate these two types of tool, studying the types of visualization and interaction that can be fruitful for gathering human insight, the types of machine learning algorithm used to take advantage of them, and the implications of this technology for disparate application domains like bioinformatics, medical informatics, journalism, and urban communities. The lab is directed by
Medical Informatics (MedIX) Lab
The Medical Informatics (MedIX) Laboratory hosts the research activities of the Visual Informatics and Data Analytics (VIDA) Group. The lab's research is focused on medical imaging, image processing, computer vision, machine learning, data mining and knowledge discovery for healthcare, medicine, and biology related applications. Current projects include Smart Computer-Aided Diagnosis (SmartCAD) for lung cancer, a collaborative project with University of Chicago, and Chronic Fatigue Syndrome Data-driven Definition, a collaborative project with DePaul College of Science and Health.
Mobile E-Commerce Lab
The Mobile E-commerce Lab provides support for research and development in the area of Mobile E-commerce. Students are encouraged to join a team of faculty members and graduate students to work on such research problems as:
- Design and development of systems that communicate with wireless web-enabled devices
- Interface design for hand-held computers and web phones
- E-commerce applications for mobile devices.
For more information, e-mail
Robotics and Medical Engineering Lab (RoME)
The overarching objective of the Robotics and Medical Engineering (RoME) lab is to bring together the expertise of computer and engineering to better meet real-life societal challenges including, but not limited to, healthcare, disaster response, and space exploration through research and development of next generation cyber-physical systems. The lab also focuses on understanding the fundamentals of muscular biological entities such as octopi and squid to help develop next generation robotics aimed at enabling challenging surgical procedures.
The Secure Design Lab
Managed by Dr. Filipo Sharevski and developed as part of a grant from the National Security Agency (NSA) for implementation of the Cybersecurity National Action Plan (CNAP), the Secure Design Lab is equipped with state-of-the-art smart Internet of Things (IoT) home setups with wireless routers, home firewalls and IDSs, voice assistants, smart locks, thermostats, intercoms, CCTV, movement and temperature sensors, smart light bulbs, tablets, and smart phones. The work in the lab focuses on researching user-centered interaction design without compromising cybersecurity of smart devices while preventing the users of these homes to be security fatigued.
Software Engineering Research Lab
The Software Engineering Research Lab supports M.S. and Ph.D. students to develop and test experimental large-scale software systems. Under the direction of Professor Xiaoping Jia, students are working on a number of software engineering research projects, including:
- Tools for model-driven engineering (MDE)
- Security, reliability, and usability of electronic voting systems
- Tools for distributed collaboration and collaborative software development
- User interface development and usability engineering.
For more information, e-mail
Studio χ, a Center for faculty development, fosters and supports research at the interface between humanities and computing. Technologies such as digital mapping, text and data mining, 3-D modelling, and data visualization provide focus for faculty with common interests to work together to further research initiatives and new pedagogies
Technology for Social Good Research and Design Lab
The Technology for Social Good Research and Design Lab brings together faculty, students, and other collaborators to design, build, and study tools with the goal of fostering equitable education and empowerment in urban communities. Taking a human-centered approach, research projects draw from fields such as learning sciences, computer science, human-computer interaction, experience design, data science, and psychology to address social issues, particularly in the areas of empowerment, learning, and human development. For more information, visit:
Wellness and Health Enhancement Engineering Laboratory (WHEEL)
Wellness and Health Enhancement Engineering Lab (WHEEL), focuses on improving health and wellness systems, and technologies using user-centered design and usability engineering approaches. The lab's mission is to conduct exploratory, experimental and field research involving human interaction with computers, technologies and systems. The majority of our projects involve understanding persuasion, emotion, and trust in health information technologies (HIT), consumer health information technologies and technology mediated collaboration in health (patient to patient, patient to provider and provider to provider). The lab is directed by
Enid Montague, Ph.D.