Department Labs

NanoBioTechnology Lab

Director:  Prof. Mehdi Javanmard
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.

Communications and Signal Processing Laboratory (CSPL)

Director:  Prof. Athina Petropulu
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.

Information, Networks, and Signal Processing Research (INSPIRE) Laboratory

Director:  Prof. Waheed U. Bajwa
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.

Integrated Circuits and NeuroImaging Laboratory

Director:  Prof. Laleh Najafizadeh
Location: 96 Frelinghuysen Rd., Room 536, Piscataway, NJ 08854
Email:      laleh.najafizadeh @ rutgers.edu
 
This a multidisciplinary research group that combines techniques in microelectronics and signal processing to address the existing problems in a variety of domains including neuroscience, cognitive rehabilitation, low-power systems and biosensors.
 
Research Areas:

a. Neuroimaging: Functional Brain Imaging, Diffuse Optical Brain Imaging, Brain Connectivity, Cognitive Neuroscience, Brain Computer Interface, Cognitive Rehabilitation; and
b. Analog, Mixed-Signal, VLSI, and mmw Circuit Design: Ultra Low-Power Circuits for Biomedical Applications, Ultra Fast Circuits, System on Chip.

Robust Image Understanding Laboratory (RIUL)

Director :  Prof. Peter Meer
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.

Tele-Rehabilitation Institute

Director :  Prof. Grigore (Greg) Burdea
Location: 96 Frelinghuysen Road, Room 735, Piscataway, NJ 08854
Email:      burdea @ jove.rutgers.edu
Phone:     (848) 445-5309

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.

 

Visualization Lab (Vizlab)

Director :  Prof. Deborah Silver
Email:      dsilver @ rutgers.edu
 
Our research is in the area of scientific visualization, computer graphics, volume graphics, medical visualization, and acoustic imaging.
 
As we rush into the era of parallel computing, scientific simulations are capitalizing to produce ultrascale datasets. To help analyze datasets extending to the order of thousands of petabytes, Vizlab is currently focusing on tools to sift and detect activities of interest in such huge datasets. Some of our latest projects include automatically detecting activities of interest and tracking  groups as well as interactions betweens different groups in a simulation.
 
Visualization involves projecting data into alternate (parameter) spaces to isolate or identify regions of interest. Tracking them to study their evolution forms the next step culminating in the formulation of reduced models to explain & quantify the phenomenon generating the data. These advanced methods were transparently applied to the graphical visualization of data as varied as plasma physics of the Tokamak (PPPL) and the jet engine unstart problem.