Research Team led by Dario Pompili receives NSF Grant

Congratulations to Professors Dario Pompili (ECE) and Javier Diez (MAE) on their new NSF award for the project titled "Reliable Underwater Acoustic Video Transmission Towards Human-Robot Dynamic Interaction.” This is a three-year  $1M collaborative effort led by Rutgers University (Dario Pompili, PI and Javier Diez, Co-PI) with Northeastern University. Rutgers' share of this award is $500,000.
In the past decade underwater communications have enabled a wide range of applications; there are, however, novel underwater monitoring applications and systems based on human-robot dynamic interaction that require real-time multimedia acquisition and classification. Remotely Operated Vehicles (ROVs) are key instruments to support such interactive applications as they can capture multimedia data from places where humans cannot easily/safely go; however, underwater vehicles are often tethered to the supporting ship by a fiber cable or have to rise periodically to the surface to communicate with a remote station via Radio Frequency (RF) waves, which constrains the mission. Wireless acoustic communication is the typical physical-layer technology for underwater communication; however, video transmissions via acoustic waves are hard to accomplish as the acoustic waves suffer from attenuation, limited bandwidth, Doppler spreading, high propagation delay, high bit error rate, and time-varying channel. For these reasons, state-of-the-art acoustic communication solutions are still mostly focusing on enabling delay-tolerant, low-bandwidth/low-data-rate scalar data transmission or at best low-quality/low-resolution multimedia streaming in the order of few tens of Kbps. Hence, the objectives of this research program are: (1) To design novel communication solutions for robust, reliable, and high-data rate underwater multimedia streaming in the order of hundreds of Kbps; (2) To investigate the problem of integrating communication methods available in multiple environments on an innovative software-defined testbed architecture integrating MEMS-based Acoustic Vector Sensors (AVSs) that will enable processing-intensive physical-layer functionalities as software-defined, but executed in hardware that can be reconfigured in real time by the user based on the Quality of Experience (QoE).
You can find more details on the project at the NSF page here.
Congratulations Dario and Javier on this exciting collaborative effort!

Smart Wristband With Wireless Link to Smartphones Could Monitor Health, Environmental Exposures

Rutgers engineers invent biosensor technology for wearable devices. Rutgers University–New Brunswick engineers have created a smart wristband with a wireless connection to smartphones that will enable a new wave of personal health and environmental monitoring devices. Their technology, which could be added to watches and other wearable devices that monitor heart rates and physical activity, is detailed in a study published online in Microsystems & Nanoengineering.

Salim El Rouayheb and Yingying Chen receive NSF Grant

Professors Salim El Rouayheb and Yingying Chen have won a new NSF award for the project titled "Secure Distributed Coded Computations for IoT : An Information Theoretic and Network Approach." This is a three year $1.2M collaborative effort led by Rutgers University (Salim El Rouayheb, PI and Yingying Chen, Co-PI) with University of Illinois at Chicago. Rutgers' share of this award is $800,000.

The Internet of Things (IoT) is emerging as a new Internet paradigm connecting an exponentially increasing number of smart IoT devices and sensors. IoT applications include smart cities, transportation systems, mobile healthcare and smart grid, to name a few. Unlocking the full power of IoT requires analyzing and processing large amounts of data collected by the IoT devices through computationally intensive algorithms that are typically run in the cloud. This leaves the IoT network, and the applications it is supporting, at the complete mercy of an adversary (enemy nations, hackers, etc.), or a natural disaster (hurricane, earthquake, etc.), that can jeopardize the IoT, or completely disconnect it from its "brain" (the cloud), with potentially catastrophic consequences. As part of this project Salim and Yingying and their teams will explore secure coded computations aimed at addressing the security challenges of IoT dependence on the cloud for computations by allowing data to be processed locally by IoT-devices that collaborate together to compute. The project will also validate the feasibility of the proposed secure codes and algorithms by building a mobile healthcare monitoring framework using IoT devices.

You can find more details on the project at the NSF page here

Congratulations Salim and Yingying on this exciting collaborative effort!

Mehdi Javanmard receives DARPA Grant

Assistant Professor Mehdi Javanmard has won a new DARPA award for the project titled "Closing the Feedback Loop for Neural Stimulation-Based Therapeutics: Continuous Monitoring of Inflammatory Processes."

This is a 18 month $642,000 collaborative effort with UPenn led by Rutgers University. As part of this project, Mehdi and his team will fabricate in-vitro and quasi in-vivo wireless probes for continuously monitoring inflammatory processes in subjects undergoing stimulation of the peripheral nervous system for treating rheumatoid arthritis.

Congratulations Mehdi!

Yingying Chen receives ARO Grant

Professor Yingying Chen has received a new Army Research Office (ARO) award for the project titled "Enhanced Learning of Sensor Fusion for Human Authentication" This is a three year $351,162 project in collaboration with Robert Wood Johnson Medical School ($100,000).

In this project, Yingying and her team proposes a learning-based user authentication framework leveraging multi-modal user verification grounded on human’s physical traits extracted from existing mobile devices without requiring specialized hardware or verification infrastructure. They plan to develop sensor-fusion based machine learning techniques, which seek to add two important security aspects in user authentication: continuous user verification exploiting unique gait patterns and online signature verification via touch-screen sensing. The research goal is to exploit ensemble learning of information from multiple classifiers on single sensor data to combat the inherent problems coming from a single biometric indicator and further use confidence distribution combining to aggregate decisions from multiple sensors to produce more powerful and robust matching results to achieve enhanced user authentication.

Congratulations Yingying!

Emina Soljanin receives NSF Grant and featured in American Masters PBS Podcast

Congratulations to Professor Emina Soljanin on her new NSF award for the project titled "Covert/Secret and Efficient Message Transfer in (Mobile) Multi-Agent Environments." This is a three year $500,000 collaborative effort led by Rutgers University (Emina Soljanin, PI) with NJIT. Rutgers' share of this award is $250,000.

As part of this project, Emina and her team will explore secret and efficient (preferably covert) communications by harnessing the resources brought in by smart everyday devices in emerging Internet of Things (IoT) environments. The research plan is organized in two central thrusts: The first thrust investigates a novel covert, secure and efficient communication scheme between mobile nodes, which has the main feature that any data transfer is only performed over short distances, thus reducing exposure to adversarial actions as well as energy and bandwidth requirements. The second thrust builds on the first one and devises secure coding schemes for the case where an eavesdropper discovers that messages are being exchanged and/or gets in possession of some helping IoT devices.

You can find more details on the project at the NSF page here. Professor Soljanin also participated in an American Masters podcast hosted by PBS celebrating the life of Hedy Lamar, along with Academy-Award-winning actor Susan Sarandon and filmmaker Alexandra Dean. Please find the podcast here where Emina discusses similarities of her NSF project to Hedy Lamar's work.

This is really cool stuff! Congratulations Emina!


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