Department Labs

Communications and Signal Processing Laboratory (CSPL)

Director:  Prof. Athina Petropulu
Location: 96 Frelinghuysen Road, Room 532, Piscataway, NJ 08854
Email:  athinap @

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.


Computer Vision and Robotics Laboratory

Director: Prof. Kristin Dana
Location: 96 Frelinghuysen Road, Room 534, Piscataway, NJ 08854
Email:  kristin.dana @

The Computer Vision and Robotics Laboratory, conducts  innovative research at the intersection of  computer vision and robotics. Focused on areas in machine learning, artificial intelligence and computational photography, the lab is developing new methods in the application areas of  precision agriculture, remote sensing, and socially cognizant robotics.  Project examples include visual navigation, change detection in satellite imagery,  drone-based cranberry crop evaluation, pedestrian behavior analysis, novel cameras for BRDF measurement, photographic steganography, and quantitative dermatology.  The lab's interdisciplinary approach reflects the lab's commitment to exploring and understanding the multifaceted applications of AI in our world.


Cyber Physical Systems (CPS) Lab

Director:  Prof. Dario Pompili
Location: 96 Frelinghuysen Road, Room 615, Piscataway, NJ 08854
Email: dario.pompili @

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 integrat ion. These paradigms will apply to those distributed systems that need to timely react 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 is to leverage 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.


Coding and Securing Information (CSI) Lab

Director: Prof. Salim El Rouayheb
Location: 96 Frelinghuysen Road, Room 733, Piscataway, NJ 08854
Email: salim.elrouayheb
At CSI Lab, we are interested in solving reliability, security and privacy problems arising from communicating, storing and processing large amounts of data in distributed systems, using tools from information theory and coding theory. Our current research projects include:
  • Private information retrieval and search in distributed systems.
  • Distributed algorithms and codes for the synchronization and deduplication of coded data.
  • Secure machine learning algorithms with information theoretical guarantees


Data Analysis and Information Security (DAISY) Lab

Director: Prof. Yingying Chen
Location: 96 Frelinghuysen Road, Room 507, Piscataway, NJ 08854
Email: yingying.chen @

As mobile device and technologies continue to have an important impact on our life and eventually become a part of our social fabric, the information infrastructure will increasingly become the tempting targets for malicious attacks. Furthermore, with the huge amount of information transmitted over the networks and eventually displayed in the Internet, the main question that people asked about is what should constitute “fair use” of the information. The Data Analysis and Information SecuritY (DAISY) Laboratory focuses on both addressing the problems in information security, system privacy, and data integrity using statistical approaches and machine learning techniques, as well as building test beds to facilitate research in these areas.

Current Research Areas:

  • Cyber Security and Privacy
  • Mobile Healthcare and its Security Issues
  • Mobile Computing and Sensing
  • Connected Vehicles


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 @

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 @
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.


Laboratory of Immuno-engineering and Micro-nano Technologies for Personalized Healthcare (LIMPH)

Director: Prof. Umer Hassan
Location: 94 Brett Road, Room 106, Piscataway, NJ 08854
Email: umer.hassan @

The LIMPH’s mission is to train the next generation of engineers to build innovative biomedical technologies for global health applications with the core objective to realize health equity across the globe. To accomplish this, we design and develop next-generation biosensing technologies for a deeper understanding of immunology, individualized monitoring of infectious diseases, engineering the immune response, and developing point-of-care sensors for global health integration. Our research and training strategy encompass the comprehensive clinical translation pathway from biosensor development, characterization, and finally its validation in multi-center clinical studies.


NanoBioTechnology Lab

Director:  Prof. Mehdi Javanmard
Location: 94 Brett Road, Room 112, Piscataway, NJ 08854
Email:      mehdi.javanmard @
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.