Department Research Labs
Location: CoRE Bldg., Room 629, 96 Frelinghuysen Road, Piscataway, NJ 08854
The Cyber-Physical Systems (CPS) Laboratory's overarching mission is to propose novel sensing paradigms to transform raw sensed heterogeneous data into valuable information (by giving semantic meaning to the collected data) and, finally, into knowledge through information fusion and integration. These paradigms apply to those distributed systems that need to react timely to sensor information with an effective action such as cyber-physical systems, which feature a tight combination of, and coordination between, the system’s computational and physical elements. The significance of the research consists in exploiting the acquired knowledge to broaden the potential of cyber-physical systems in several dimensions, including: augmentation of human capabilities, understanding of human activities, coordination of heterogeneous (infrared) cameras, operation in dangerous or inaccessible environments, and efficiency. The CPS Lab is active in the following research areas: wireless sensor networks, underwater acoustic communications, vehicle coordination, multi-robot formation/steering, task allocation, mobile computing, cloud radio access networks, software-defined networks, network optimization and control.
Location: 94 Brett Road, Room 112, Piscataway, NJ 08854
The NanoBioTechnology Lab applies nanotechnology with biomedical applications to solve current health and medical problems. The high cost of diagnostic exams in the clinical setting has resulted in a healthcare crisis both nationally and globally. The lack of sensitivity in current state-of-the-art biosensing platforms used in the clinical setting has resulted in slow and expensive diagnostic exams. This makes it economically unfeasible to regularly screen patients for a wide panel of biomarkers, making impossible the diagnosis of diseases at early stages while still curable. By making use of the advantages offered by micro and nanotechnologies, we aim to develop sensing platforms which will decrease cost, increase assay speed, and improve limit of detection in biomolecular assays.
Location: 96 Frelinghuysen Road, Room 532, Piscataway, NJ 08854
CSPL focuses on research in theoretical issues in statistical signal processing, system modeling, system identification. Applications of interest include wireless communications, networking, radar systems, biomedicine. Recent project include cooperative approaches for low power wireless communications, physical layer security, mobile beamforming, and compressive sensing based MIMO radar.
Location: 96 Frelinghuysen Rd., Room 729, Piscataway, NJ 08854
Email: waheed.bajwa @ rutgers.edu
Research conducted at the Information, Networks, and Signal Processing Research (INSPIRE) Lab provides a fundamental mathematical understanding of and theoretically optimal, computationally efficient, and algorithmically robust solutions for some of the most pressing problems arising in information processing—an umbrella term that subsumes mathematical signal processing, high-dimensional statistics and machine learning—and networked systems, such as (online) social networks, wireless sensor networks, communication networks, multiagent systems, and brain networks.
Location: 96 Frelinghuysen Rd., Room 536, Piscataway, NJ 08854
Email: laleh.najafizadeh @ rutgers.edu
The research in Integrated Systems and NeuroImaging Laboratory focuses on advancing science at multiple frontends, in particular applied signal processing, network science, bio-electronics and biophotonics, to pursue multidisciplinary solutions for a variety of problems in neuroscience and health care.
Location: 96 Frelinghuysen Road, Room 531, Piscataway, NJ 08854
The laboratory is under the supervision of Prof. Peter Meer from the Electrical and Computer Engineering Department.
Using rigorous statistical concepts in computer vision, we look to fundamental problems which have been not yet completely solved. We introduced the mean shift algorithm, a nonparametric clustering in vector spaces. Beside segmentation and tracking of objects, we also generalized it to non-vector spaces, based on results from group theory. We developed a semi-supervised kernel clustering algorithm which exceeds other results, even without knowing the number of clusters.
Using linearization of nonlinear problems, to which almost all the computer vision problems belong, we described a new errors-in-variables, robust regression algorithm without user defined parameters.
All publications from 1996 on are on the webpage.
SiC Processing Laboratory (SiCLAB)
Location: 96 Frelinghuysen Road, Room 735, Piscataway, NJ 08854
Email: burdea @ jove.rutgers.edu
Tele-rehabilitation is the provision of therapy at a distance. To realize its full potential, it needs better computing and communication technology and well as better prepared medical professionals.
The Tele-rehabilitation Institute mission is three-fold, in areas of Research, Clinical Development and Education:
• Research - to develop highly innovative technology that allows fun and efficacious therapy to occur in the home. This alleviates the need to go to clinics, while therapists remotely monitor and adjust your home treatment;
• Clinical Development - to measure the efficacy and improve the new systems based on patient clinical use in a controlled and safe environment;
• Education - to form the new generation of therapists that understand and fully exploit the capabilities of the new Tele-rehabilitation therapy.
Location: 96 Frelinghuysen Road, Room 637, Piscataway, NJ 08854
Email: parashar @ rutgers.edu
URL: The Applied Software Systems Laboratory (TASSL)
The Applied Software Systems Laboratory (TASSL) is a interdisciplinary research center that complements the NSF Cloud and Autonomic Computing Center (CAC), and is part of Department of Electrical and Computing Engineering and the School of Engineering at Rutgers University. It's overarching mission is to develop conceptual models and implementation frameworks, based on the theoretical foundations of high performance, distributed systems and networking, for solving real-world problems on very large and pervasive distributed systems such as the national hybrid cyber-infrastructure. Designing, developing and deploying advanced software systems is an integral part of the TASSL mission and TASSL researchers have deployed software systems such DataSpaces/DART, GrACE/MACE, CometCloud, Accord, Squid, and Meteor.
The Cloud and Autonomic Computing Center (CAC), an NSF Research Center funded by the I/UCRC program, combines resources from universities, private companies, and the federal government to conduct fundamental research on making all kinds of computer systems and applications - from desktop computers to air traffic control systems - more reliable, more secure, and more efficient. Research activities are focused in the broad area of parallel and distributed computing and include programming and run-time systems, autonomic computing, scientific computing and software engineering.
Visualization Lab (Vizlab)