Dr. Puri Scholarship Award

Dr. Narendra Nath Puri was a professor of Electrical Engineering at Rutgers for 38 years. He received his Ph.D. from the University of Pennsylvania. He was intentional about moving Rutgers Engineering forward and countless students, faculty, staff and alumni have benefitted from his efforts. Dr. Puri passed away on Dec. 4, 2015, at the age of 82. Dr. Puri’s wife, Dr. Kamal Puri, has generously donated this scholarship in honor of her husband and his work.

 

 

 

 

Lingyi Xu is an MS student working with Dr. Zoran Gajic as her advisor in the Department of Electrical and Computer Engineering at Rutgers University. Her research is focused on control systems, computer vision and robotics. Lingyi recently received her MS at the  University of Chinese Academy of Sciences in May 2017. Her thesis was titled, “Monocular Visual Measurement for Mobile Robot.”

Jiarong Chen is an MS student in Electrical and Computer Engineering at Rutgers University. Prior to joining Rutgers, Jiarong earned his undergraduate degree in Automation Engineering from the University of Electronic Science and Technology of China in 2012 via the 3+2 cooperative program with Rutgers. His research interests are in Control and Automation, especially in high-speed scan using Atomic Force Microscope. Jiarong Chen is advised by Dr. Qingze Zou in the MAE department of Rutgers.

 

 

 

ECE Graduate Student wins Student Research Award at 2017 ACM Grace Hopper Celebration

Parishad Karimi captured first place in the graduate category of ACM’s Student Research Competition at the Grace Hopper Celebration held October 2017 in Orlando.

Her research was sparked by the exponential growth of wireless networks and the incompatibility of different access technologies within the same frequency band. To solve this problem, she proposed SMART, a distributed resource management architecture that enables coordinated resource usage.

Karimi has spent the past two years developing the architecture at WINLAB, Rutgers’ premier wireless research center, under the guidance of WINLAB director and distinguished professor Raychaudhuri and associate director Ivan Seskar.

She says that the ACM Student Research Competition is an excellent platform to get your research exposed to professionals from academia and industry, receive constructive feedback, and gain a sense of validation for your work.

“I felt more determined to continue and extend my research in this field, considering its necessity with the emergence of 5G technologies,” Karimi said. “Participating in the ACM Student Research Competition was a very fruitful experience for me and I recommend other students take part in ACM SRC held at various conferences.”

The world's largest gathering of women technologists, the Grace Hopper Celebration is produced by AnitaB.org and presented in partnership with ACM. The event honors Rear Admiral Grace m Hopper, a pioneering American computer scientist whose achievements led to the development of COBOL, an early programming language. TThe 2018 Grace Hopper Celebration will be held September 26-28 in Houston.

Athina Petropulu elected to IEEE Signal Processing Society Board of Governors

Distinguished Professor Athina Petropulu has been elected to serve on the IEEE Signal Processing Society (SPS) Board of Governors in the capacity of Member-at-Large for the term 1 January 2018 through 31 December 2020. 

The IEEE's first society, the Signal Processing Society is the world’s premier professional society for signal processing scientists and professionals since 1948. Engineers around the world look to the Society for information on the latest developments in the signal processing field. Its history spans almost 70 years, featuring a membership base of more than 19,000 signal processing engineers, academics, industry professionals and students who are all part of a global community – spanning 100 countries worldwide.

Congratulations on this recognition of professional achievement Athina!

IEEE HKN Professional Panel

 

HKN will be hosting a professional panel with industry professionals and Rutgers ECE alumni. Also, there will be professionals from Google, Verizon, Société Générale, and more! This event is being cohosted with IEEE, PTS, and APM. The event will be held at BSC-120AB at 8PM. Come network and get your questions answered! Food will be provided!

More information on HKN website

 

Waheed Bajwa receives ARO Grant

Associate Professor Waheed Bajwa has won an Army Research Office (ARO) award for the project titled "Robust, Decentralized Feature Learning From Big Data." This is a three year $420,000 project. 

As part of this project, Waheed and members of his lab will develop, analyze, and validate a computational framework for robust, decentralized processing of intelligence, surveillance, target acquisition, and reconnaissance  data that formally takes into account the challenges that are explicitly aligned with the future needs of the Army. The fundamental problems that will be addressed in the project range from robust, decentralized processing algorithms that exploit geographically distributed and contaminated big data for near-optimal inference to efficient techniques for inference from streaming data and message passing strategies that can manage Byzantine failures of some of the distributed entities. 

Congratulations Waheed!

Team from Rutgers School of Engineering receives DOE SBIR Grant

Associate Professor Shantenu Jha is co-PI on a new SBIR grant from the Department of Energy "Fast fingerprinting and detection of materials using portable/hand-held devices and high performance computing for use in manufacturing and supply chain applications." This is a 1 year $270K project in collaboration with Chemical and Biochemical Engineering faculty members Marianthi Ierapetritou (PI) and Rohit Ramachandran and Optimal Solutions Inc. 

 
The proposed work synthesizes and leverages technology developments in infrared spectral sensing, mobile computing, cloud computing, and machine learning to point the way to the development of real-time, in the field, contactless materials analysis for important characteristics including, but not limited to, chemical composition, mixture ratio, and bulk powder density. Shantenu and the RADICAL team will enable high-performance and streaming implementation of ML algorithms.
 
Congratulations Shantenu, Marianthi and Rohit!

Shantenu Jha receives NSF Grant

Professor Shantenu Jha has won an NSF award for the project titled “ICEBERG: Imagery Cyberinfrastructure and Extensible Building-Blocks to Enhance Research in the Geosciences.” This is a three year $1.85M collaborative project between Rutgers, Stony Brook (lead), UC Santa Barbara and UC Boulder. Rutgers share of the project is $620,000.

 

Satellite imagery is rapidly transforming the way we see the planet, including our ability to study the most remote parts of the Arctic and Antarctic. This project, called ICEBERG - Imagery Cyberinfrastructure and Extensible Building-Blocks to Enhance Research in the Geosciences, aims to build the cyberinfrastructure required to make the most of satellite imagery for geosciences, starting with researchers working in polar areas, and then branching out to the larger community. The objective of this proposal is to research and develop the cyberinfrastructure to understand the biological, geological, and hydrological functioning of the Polar regions at spatial scales heretofore beyond the reach of individual researchers. The resulting cyberinfrastructure, called ICEBERG — Imagery Cyberinfrastructure and Extensible Building-Blocks to Enhance Research in the Geosciences, is an extensible system for coupling open-source image analysis tools with the use of high performance and distributed computing for imagery-enabled geoscience research with a focus on the Polar regions.

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

 
Congratulations Shantenu!
 

Yingying Chen receives NSF Grant

Professor Yingying Chen has won a new NSF award for the project titled "Exploiting Physical Properties in Wireless Networks for Implicit Authentication." This is a three year $499,950 collaborative effort between Rutgers University (Yingying Chen, PI, lead institute) and Indiana University. Rutgers' share of this award is $339,950. 
 
In  this project, Yingying and her team will build a holistic framework that leverages fine-grained radio signals available from the commercial wireless networks to perform implicit user/device authentication. The proposed research reveals that the fine-grained signal properties in wireless networks are capable to capture unique physiological and behavioral characteristics from humans in their daily activities. The research team will develop smart segmentation on the wireless signals and identify unique features that enable the capability of distinguishing individuals. They will further develop deep learning techniques to authenticate people based on their daily activities in the physical environments. The authentication process does not need active user involvement or require the user to wear any device. This project also develops efficient techniques to detect the presence of user spoofing and localize attackers to facilitate the employment of a broad array of defense strategies. The proposed research will advance knowledge in exploiting the physical layer information in wireless networks to capture unique physiological and behavioral characteristics through people's daily activities. 
 
You can find more details on the project at the NSF page: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1716500&HistoricalAwards=false
 
Congratulations Yingying!

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