Defense Notices


All students and faculty are welcome to attend the final defense of EECS graduate students completing their M.S. or Ph.D. degrees. Defense notices for M.S./Ph.D. presentations for this year and several previous years are listed below in reverse chronological order.

Students who are nearing the completion of their M.S./Ph.D. research should schedule their final defenses through the EECS graduate office at least THREE WEEKS PRIOR to their presentation date so that there is time to complete the degree requirements check, and post the presentation announcement online.

Upcoming Defense Notices

Jennifer Quirk

Aspects of Doppler-Tolerant Radar Waveforms

When & Where:


Nichols Hall, Room 129 (Apollo Auditorium)

Committee Members:

Shannon Blunt, Chair
Patrick McCormick
Charles Mohr
Alessandro Salandrino
Zsolt Talata

Abstract

The Doppler tolerance of a waveform refers to its behavior when subjected to a fast-time Doppler shift imposed by scattering that involves nonnegligible radial velocity. While previous efforts have established decision-based criteria that lead to a binary judgment of Doppler tolerant or intolerant, it is also useful to establish a measure of the degree of Doppler tolerance. The purpose in doing so is to introduce a Doppler "quasi-tolerant" trade-space that can ultimately inform automated/cognitive waveform design in increasingly complex and dynamic radio frequency (RF) environments. This idea of Doppler quasi-tolerance leads to the development of random FM (RFM) waveforms that retain a degree of Doppler tolerance while still providing the diversity of a nonrepeating waveform structure. The ensuing ambiguity functions split the delay/Doppler ridge into a variety of different patterns. Since these patterns are known at transmission, a strategy for appropriate coherent slow time combining is demonstrated in simulation. Separately, the application of slow-time coding (STC) to the Doppler-tolerant linear FM (LFM) waveform has been examined for disambiguation of multiple range ambiguities. However, using STC with non-adaptive Doppler processing often results in high Doppler "cross-ambiguity" side lobes that can hinder range disambiguation despite the degree of separability imparted by STC. To enhance this separability, a gradient-based optimization of STC sequences is developed, and a "multi-range" (MR) modification to the reiterative super-resolution (RISR) approach that accounts for the distinct range interval structures from STC is examined. The efficacy of these approaches is demonstrated using open-air measurements. Pulse agility is an alternative range disambiguation technique that relies on pulse-to-pulse waveform separability. Although pulse-agile waveforms are often uncorrelated and therefore amenable to range disambiguation, they may exhibit poor Doppler tolerance. To preserve Doppler tolerance and achieve separability, a class of hybrid waveforms is developed whereby a phase code is embedded on an LFM base waveform. A gradient-based optimization is developed for this waveform structure to achieve enhanced suppression of range-folded scattering in desired delay/Doppler regions. The Doppler tolerance and separability of the optimized waveforms are examined in simulation, and open-air measurements are used to demonstrate the range disambiguation capability.


Past Defense Notices

Dates

BRIAN CORDILL

Radar System Enhancement through High Fidelity Electromagnetic Modeling

When & Where:


317 Nichols Hall

Committee Members:

Sarah Seguin, Chair
Shannon Blunt
Christopher Allen
James Stiles
Mark Ewing

Abstract

Radar systems can fulfill a wide range of remote sensing missions, from aircraft tracking, to rainfall rate measurements, to automobile cruise control assist. The history of radar is full of innovation and a drive to "get the most" out of a system. History, however, is also full of simplifying assumptions made along the way to make certain problems tractable. In some sense, engineers have historically traded performance for tractability. Antenna arrays and their accompanying electromagnetics is one such area that is ripe to have its simplifying assumptions pealed back in an effort to extract even more performance. This can be demonstrated by developing high fidelity electromagnetic (EM) models of a radar array and showing that existing array processing algorithms based on simplified models are operating at a degraded performance level. These high fidelity EM models can then serve as a basis to enhance the performance of these algorithms. This work will specifically examine integrating a blind calibration process into the Re-Iterative Super Resolution (RISR) Direction of Arrival (DoA) algorithm to improve RISRs performance, show that the misapplication of the reciprocity theorem is holding back radar array processing algorithms, and investigate the possibility of leveraging recent results showing non-linearities in off-boresight emissions to improve clutter mitigation.


BALASUBRAMANIAM SRIDHAR

Precise Computation Control using Discovered Computation Structure and Behaviour

When & Where:


250 Nichols Hall

Committee Members:

Prasad Kulkarni, Chair
Arvin Agah
Perry Alexander


Abstract

Many applications use a variety of components both at the middleware and OS as part of their execution and systems are designed to provide these applications with high availability and specific qualities of service intended for specific application semantics. To provide these features, systems must be developed that exercise precise control over computation 
behaviour. This thesis proposes a mechanism where the structure of the computation and its behaviour can be discovered by tracing the system calls that an application makes during the period of its execution in real time using Data Streams and Computation Component Set Manager frameworks. This thesis also demonstrates the integration of computation behaviour information with Hierarchical Group Scheduling framework to achieve precise control over the execution of the application through arbitrary scheduling semantics.


MARYAM MAHANI

Strategic Structural Reorganization in Multi-agent Systems Inspired by Social Organization Theory

When & Where:


129 Nichols

Committee Members:

Arvin Agah, Chair
Swapan Chakrabarti
Man Kong
Brian Potetz
Prajna Dhar

Abstract


HONGLIANG FEI

Learning from Structured Data

When & Where:


246 Nichols Hall

Committee Members:

Luke Huan, Chair
Arvin Agah
Bo Luo
Brian Potetz
Hongguo Xu

Abstract


MEGAN PECK

Composition Semantics of the Rosetta Specification Language

When & Where:


250 Nichols Hall

Committee Members:

Perry Alexander, Chair
Andy Gill
Prasad Kulkarni


Abstract


KRITI CHAKDAR

Cancer Detection for Low Grade Squamous Intraepithelial Lesion

When & Where:


2001B Eaton Hall

Committee Members:

Brian Potetz, Chair
Arvin Agah
Luke Huan


Abstract


NICOLAS FRISBY

Reducing the Cost of Precise Types

When & Where:


250 Nichols Hall

Committee Members:

Perry Alexander, Chair
Andy Gill
Prasad Kulkarni
Bo Luo
Sara Wilson

Abstract


CINDY XIAOTONG LIN

Learning Bayesian Networks and Bioinformatics Applications

When & Where:


246 Nichols Hall

Committee Members:

Luke Huan, Chair
Swapan Chakrabarti
Bo Luo
Brian Potetz
Robert Ward

Abstract


BRIAN QUANZ

Learning with Low-Quality Data: Multi-View Semi-Supervised Learning with Missing Views

When & Where:


246 Nichols Hall

Committee Members:

Luke Huan, Chair
Xue-Wen Chen
Victor Frost
Bo Luo
Brian Potetz

Abstract


MOHAMMED ALENAZI

Implementation of the AeroRP and AeroNP Protocols in Python

When & Where:


246 Nichols Hall

Committee Members:

James Sterbenz, Chair
Bo Luo
Gary Minden


Abstract