First Floor
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The Center for Computing and Information Science, known on campus as CCIS, opened in 2018 as the new home of the Department of Computer Science. Alumni may remember CCIS as the former Mallory Hall. The comprehensive renovation of this building included the addition of a 4th floor and complete modernization of the building’s infrastructure and exterior facade as well as providing nearly 44,000 square feet of newly designed teaching and research spaces. CCIS houses specialized teaching and research spaces for our rapidly growing suite of undergraduate and graduate programs in Computer Science, Information Technology, Cybersecurity, and Data Science. Since its opening in 2018 the building has become home to the Department of Mathematics and the Clean Energy and Sustainability Analytics Center.
The west side of CCIS contains a small garden that represents a sustainability demonstration project. The construction materials for this garden include decontaminated sediment from the Passaic River. Organic and heavy metal contaminants were removed from the river sediments using innovative treatment technologies that create clean, usable manufactured soil that now support native NJ plants, and construction grade cement that comprises the walk ways.
The Mathematics department is housed on the 1st and 4th floors of CCIS. The Mathematics department offers innovative programs and experiences for students including the Linking Arts and Science through Education and Research (LASER) initiative, Civic Engagement through Math, and participates in several cross-college joint degree programs including the BS in Math + MA in Social Research and Analysis, and the BS in Math + MBA program. The Mathematics Department also houses the PhD program in Math Education.
The Clean Energy and Sustainability Analytics Center is a public research and technical assistance center. Its mission is to identify, quantify and interpret the ramifications of clean energy development and to facilitate energy planning. The Center provides support for clean energy policies, technology, and practices through research and education programs.
CCIS houses 6 smart teaching labs where students learn to design and implement software, develop new ways to use computers, and design and test cybersecurity solutions, and build tools to work with “big data” in support of society’s most challenging problems. Instructional space in CCIS also includes a 145-seat amphitheater and a specialized computer hardware lab.
Second Floor
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Skyway Lounge – Alumni may remember the “skyway bridge” that connected old Mallory Hall with old Finnley Hall. This space has been transformed into the beautiful Skyway lounge. A hallmark of CSAM is to include student meeting and study spaces in all of our buildings. The Skyway lounge provides expansive views of the east and west campus, and provides a high-tech common area designed to promote creativity and collaboration.
Third Floor
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CCIS 327, Computer Science Department Office
CCIS student lounge and conference room
Fourth Floor
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The Software Systems lab at the Department of Computer Science is co-directed by Dr. Vaibhav Anu and Dr. Kazi Zakia Sultana. The lab is in CCIS 416 and houses sixteen state-of-the-art desktop computers. The desktops are Dell OptiPlex 7050 with Intel®Core™ i7-6700 CPU @3.40-to-4GHz, 8MB Smart Cache, 512GB SSD and 16GB RAM running Windows 10.
Research at the Software Systems lab is focused on development, maintenance, and evolution of software, with the overarching goal of improving the quality of software artifacts produced at various stages of the software development lifecycle.
CCIS 418, the Computational Sensing Laboratory (CSL) was created in 2003 as a venue that supports both algorithmic design and instrument experimentation. Through computational sensing we aim to address sensing problems through interdisciplinary approaches that include instrument design, phenomena modeling, simulation and experimentation, and especially use of high performance computational environments.
CSL employs a variety of sensing platforms including visible and hyperspectral cameras and diverse computing architectures such as Windows, Unix and Linux workstations as well as two powerful Beowulf clusters.
Since its inception, CSL has hosted 30 undergraduate student projects and 37 MS thesis and projects. CSL’s work is funded by the National Science Foundation, HP Foundation, Sun Microsystems, PSEG Foundation New Jersey Council for Humanities, SPIE, and MSU internal awards totaling over $2.5 Million.
CCIS 424, Internet Computing (John Jenq) and Natural Language Processing (Anna Feldman) Lab
CCIS 425, Mathematics Education Department Office
CCIS 424, Internet Computing and Natural Language Processing Lab
CCIS 434, VR Platform
CCIS 434, Collaborative Robotics and Smart Systems Laboratory (CRoSS Lab)
Smart Driving station in CCIS 434
Advanced Sensing station in CCIS 434
Robot Vision station in CCIS 434
CCIS 440, Computer Networks and Data Systems (CNDS) laboratory
We address the fundamental problems in networked computing systems and facilitate the application of such systems in solving real-world problems.
Our recent research works have been published in many high impact journals, such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Dependable and Secure Computing, IEEE Access, Elsevier Applied Mathematics and Computation, Elsevier Future Generation Computer Systems, etc., and various IEEE conferences.
CCIS 446, The Network Science Research Lab (NetSci) is an interdisciplinary research lab led by Dr. Christopher S. Leberknight. The lab is dedicated to the study of the intersection between social behavior and computational systems. The research supports a broad range of topics including: online censorship and Internet freedom, location aware systems, collaborative filtering, online auctions, reputation systems, and the modeling and analysis of technological and online social networks.
The center aims to support graduate and undergraduate Computer Science education through research projects and hands-on labs in networking administration and security. In addition, we welcome participation from non-CS majors who wish to gain exposure to theoretical and practical applications in computing technologies through collaborations with start-ups and academic labs such as the Princeton Edge Lab.
CCIS 448, High Performance Computing and Systems Lab (HPCS)
