Graduate Research

A faculty member and student work on a PCBThere is ample opportunity for students to conduct research in fulfillment of their Masters degree in Electrical and Computer Engineering. Research Assistantship positions are available. Visit the ECE faculty research page to see what fields they are working on and select the topic which interests you. Make arrangements to discuss your interest with them. The next step is up to you!

Current & Past Projects

Reconfigurable RF Systems

This project focuses on developing hardware and algorithmic solutions for multi-purpose systems operating in super high-frequency range. Our goal is to utilize a single architecture and same signal for several capabilities - e.g. radar sensing, communications, and navigation/location. The latest accomplishments include devising a method of simultaneous radar sensing of a target scene and enabling backscatter ad-hoc communications with randomized signal parameters. (Dr. Dmitriy Garmatyuk)

Software-defined multi-functional LPI/LPD adaptive radar for network-centric applications

In this work we envision enabling several autonomous platforms perform advanced sensing and identification of various target scenes based upon frequency diversity exploitation; and communicate the data among themselves. We have introduced a new method of target scene identification, frequency-angle response matching (FARM), and performed short-range radar experiments using the ultra-wideband in-house built system. This project also includes theoretical modeling of various scene responses, as well as exploration of data communication with low probability of intercept/detect characteristics. (Dr. Dmitriy Garmatyuk)

Automatic Modulation Classification Systems

In this project, we developed a software refined radio based receiver which can scan a broad spectrum to detect occupied bandwidth and determine modulations of detected signals. It can be used in the applications of cognitive radio which increases the efficiency of bandwidth utilization by allowing a radio to use available bandwidth to transmit signals or share bandwidth with other radio systems without interfering existing signal transmissions. (Dr. Chi-Hao Cheng)

Fingerprint Enhancement Algorithm

In this project, we developed an image processing algorithm to enhance blurred fingerprint images.  Our algorithm outperforms currently used fingerprint enhancement algorithms and improves the accuracy of fingerprint matching systems.  (Dr. Chi-Hao Cheng)

Statistical Channel Impulse Response Generation for Millimeter-Wave Communications 

Millimeter wave Communication is the future of wireless technology. It provides us the capability to use higher bandwidths and achieve data rates in order of gigabits per second. A statistical channel model for mm Wave communication is required for system level design and for test of network algorithms which are critical for wireless industries. This research is basically an extension and enhancement of the 5G channel stimulator developed by NYU wireless lab for mm Wave outdoor communications, in terms of achieving beamforming for Non Line of Sight scenarios and reducing interference. (Dr. Ucci)

Improving Lightpath Establishment in Elastic Optical Network

Optical Networks are an effective means for faster and reliable communications. Because of the dramatic increase in bandwidth demand, Elastic Optical Networks (EONs) were introduced as future solution. This technology provides efficient spectrum utilization. Thus, the routing and spectrum assignment problem has arisen as the key design in EONs. This thesis shows that Spectrum Assignment (SA) can be improved in order to manage resource scarcity and traffic contention. The major objective of this thesis is to maintain connectivity failure using a proposed Flag-based algorithm. The study will analyze the Routing and Spectrum Allocation (RSA) with different traffic patterns and network topologies. (Drs. Sahin and Ucci)

Individual awards & recognition

Alexandre Tessier: Competed at Student Research Competition (SRC) sponsored by Microsoft Research at the 33rd ACM/SIGAPP Symposium on Applied Computing in April 2018 at Pau, France. He was awarded with student travel grants of $1500 from ACM SIGAPP and $500 from uSoft Research for his trip to France. Alex won the third place prize among graduate student competitors from all around the world. His advisor is Dr. AKM Jahangir Majumder.

Liqin Xu: Presented his research work at the 19th Workshop on Mobile Computing Systems and Applications (ACM HotMobile 2018) at Tempe, Arizona in February 2018. His advisor is Dr. AKM Jahangir Majumder.

Nahlah Condict: Won 2018 IEEE Radar Conference Student Travel Grant ($650). She will present her research works at 2018 IEEE Radar Conference on April 26 at Oklahoma City. Her advisor is Dr. Dmitriy Garmatyuk.

Yan-Ting Chen: Will present his research work at 17th annual IEEE International Conference on Electro Information Technology in May 2018 at Rochester, Michigan, USA. His advisor is Sudhir Shrestha.

Austin Lowder: Won 2017 IEEE Symposium on Fusion Energy (SOFE) Travel Grant ($2500). He presented his poster at the conference in Shanghai, China on June 4, 2017. His advisor is Dr. Mark Scott.

Matt Boubin, John Patrick Doran, Wilson Guo, and Austin Lowder: Won 2018 student travel grant to IEEE Power Electronics Conference at Illinois (PECI) held on February 22, 2018. The team presented two posters. The four students are advised by Dr. Yamuna Rajasekhar and Dr. Mark Scott.

Hassan Hassan: Co-authored two papers published the proceedings of the 2018 IEEE Applied Power Electronic Conference (APEC) held in San Antonio, TX. His advisor is Dr. Mark Scott.