The ThruProt Analyzer: Bringing Proteomics to the Field Using a Sample-to-Answer Electronic Multiplexed Platform

Mehdi Javanmard received a $344,942 NSF grant for the project "The ThruProt Analyzer: Bringing Proteomics to the Field Using a Sample-to-Answer Electronic Multiplexed Platform". This is a 3-year collaborative grant with colleagues from the RU Ocean Sciences Department, and Mehdi is the PI.

The abstract of the award is given below.

"IDBR: TYPE A- The ThruProt Analyzer: Bringing Proteomics to the Field Using a Sample-to-Answer Electronic Multiplexed Platform".

PI: Mehdi Javanmard,

Structured Sparse and Low-Rank Representations for Multimodal Recognition

We are pleased to announce that ECE Assistant Professor Vishal Patel is recipient of the 2016 Young Investigator Program (YIP) Award.

The goal of Dr. Patel’s project is to develop robust and efficient methods for learning structured representations of multimodal data. In particular, he will develop methods for multimodal metric learning and multimodal data fusion based on sparse and low-rank representations.

Models and Algorithms for Human Activity Recognition

Waheed Bajwa received a one year, $110K subaward from General Dynamics as part of the ARL Robotics CTA Program for the following project: "Models and Algorithms for Human Activity Recognition." The abstract is as follows:

"This research deals with the challenges of human activity recognition using either intensity or both intensity and depth data. It addresses the problems of unsupervised learning of human action attributes from video data as well as provides means for semantic understanding of these action attributes."

EARS: Machine Learning and Social Protocols for Enhancing Spectrum Access for Wireless Communications

Janne Lindqvist received an NSF award for $300,000.00 from the NSF Enhancing Access to the Radio Spectrum (EARS) program. Richard Howard of WINLAB is senior personnel on the grant.

Janne would like to acknowledge the help of Shridatt “James” Sugrim for helping with parts of the proposal.

The abstract is given below.

Title: EARS: Machine Learning and Social Protocols for Enhancing Spectrum Access for Wireless Communications

PI: Janne Lindqvist. Senior Personnel: Richard Howard

Pages

Subscribe to Rutgers University, Electrical & Computer Engineering RSS