School of Industrial and Systems Engineering Theses and Dissertations
Original work in partial fulfillment of a graduate degree in the School of Industrial and Systems Engineering.
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Recent Submissions
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Online sufficient dimensionality reduction for sequential high-dimensional time-series
(Georgia Institute of Technology, 2015-01-08)In this thesis, we present Online Sufficient Dimensionality Reduction (OSDR) algorithm for real-time high-dimensional sequential data analysis. -
Stochastic algorithms for distributed optimization and machine learning
(Georgia Institute of Technology, 2018-06-15)In the big data era, machine learning acts as a powerful tool to help us make predictions and decisions. It has strong ties to the field of optimization, in the way the latter provides methods and theory. While data tends ... -
Data-driven reconfigurable supply chain design and inventory control
(Georgia Institute of Technology, 2018-05-18)In this dissertation, we examine resource mobility in a supply chain that attempts to satisfy geographically distributed demand through resource sharing, where the resources can be inventory and manufacturing capacity. Our ... -
Techniques for comparing efficacy and cost-effectiveness of cancer therapies, and improved inference tools
(Georgia Institute of Technology, 2018-05-11)This thesis focuses on two separate topics, one lying at the intersection of health care and statistics, and the other one rising from classical statistical inference. Chapters 2 through 4 address the first topic. They ... -
Relaxations for the dynamic knapsack problem with stochastic item sizes
(Georgia Institute of Technology, 2018-04-26)We consider a version of the knapsack problem in which an item size is random and revealed only when the decision maker attempts to insert it. After every successful insertion the decision maker can choose the next item ... -
Poisson matrix completion and change-point detection
(Georgia Institute of Technology, 2018-05-11)Statistical signal processing and machine learning are very important in modern science and engineering. Many theories, methods and techniques are developed to help people extract and analyze the hidden information from ... -
Advances in calibration and interpolation: Censored and big data applications
(Georgia Institute of Technology, 2017-07-28)Advances of computing capability and increasing demand for analyzing data from complex systems in various engineering fields have made computer experiments an inevitable tool for exploring and optimizing systems. Physical ... -
Planning and protecting critical infrastructure: Three applications of optimization under uncertainty or variability
(Georgia Institute of Technology, 2017-07-05)This dissertation presents the study of three strategic planning problems in the area of critical infrastructure planning and protection. Each of these problems involves real-world data that is uncertain or stochastic, and ... -
High dimensional data analysis for anomaly detection and quality improvement
(Georgia Institute of Technology, 2017-06-02)Analysis of large-scale high-dimensional data with a complex heterogeneous data structure to extract information or useful features is vital for the purpose of data fusion for assessment of system performance, early detection ... -
Some Computationally Efficient Methods in Statistics and Their Applications in Parameter Estimation and Hypotheses Testing
(Georgia Institute of Technology, 2017-05-15)Parameter estimation and hypotheses testing are two fundamental problems in statistics. Many existing methods have been developed for the problems with moderate amount of data. Unfortunately, some of those methods could ... -
Stochastic comparison approach to multi-server queues: bounds, heavy tails and large deviations
(Georgia Institute of Technology, 2017-05-12)In the first part of this thesis, we consider the FCFS $GI/GI/n$ queue, and prove the first simple and explicit bounds that scale gracefully and universally as $\frac{1}{1-\rho}$ ($\rho$ being the corresponding traffic ... -
Predictive Analytics and Optimization for Improved Electric Power Network Reliability and Operation
(Georgia Institute of Technology, 2016-07-29)Advances in sensor technology, data storage and signal processing enable methods to indirectly monitor many complex engineering systems. The aim of this dissertation is to present novel statistical and optimization methods ... -
Predictive analytics for complex engineering systems using high-dimensional signals
(Georgia Institute of Technology, 2018-04-24)Tremendous maintenance and operational expenditure are incurred due to unexpected failures, and inefficient maintenance and operational practices. Consequently, many capital-intensive assets used in the energy, manufacturing, ... -
Recent advances on the reduction and analysis of big and high-dimensional data
(Georgia Institute of Technology, 2018-04-06)In an era with remarkable advancements in computer engineering, computational algorithms, and mathematical modeling, data scientists are inevitably faced with the challenge of working with big and high-dimensional data. ... -
Efficient and distributed computational methods for complex systems
(Georgia Institute of Technology, 2018-04-04)Many statistical inference problems for large-scale complex systems involve using analytical tools, such as statistics, mathematical optimization and machine learning algorithms. We demonstrate the importance of innovation ... -
A DDDAS framework for managing online transportation systems
(Georgia Institute of Technology, 2018-04-06)Dynamic Data-Driven Application Systems (DDDAS) integrate an executing simulation with data instrumentation in a feedback control loop. Additional data can be assimilated into the application computations and the application ... -
Dynamic and continuous-time service network design
(Georgia Institute of Technology, 2018-01-11)The thesis focuses on two fundamental problems in transportation and logistics, namely, service network design, and operation, with a focus on high precision, and large scale. A typical approach to solving the design problem ... -
Distributionally robust stochastic optimization with applications in statistical learning
(Georgia Institute of Technology, 2018-05-24)In this thesis, we study distributionally robust stochastic optimization (DRSO), a recent emerging framework for solving decision-making under uncertainty. In this framework, instead of assuming that there is a known ... -
Innovations in last-mile delivery systems
(Georgia Institute of Technology, 2018-01-11)In the last decade, tied to the rise of e-commerce activities, direct-to-consumer deliveries have grown at a rapid pace in metropolitan areas across the world, and expectations on service standards become higher and higher ... -
Decision-making in climate and energy policy
(Georgia Institute of Technology, 2017-04-07)A formalized methodology for the calculation of the levelized cost of electricity is presented. The levelized cost is widely used as a concise estimate of the cost of electricity generation or comparison between different ...
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