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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Operational and Tactical Strategies for Managing Service Networks
(Georgia Institute of Technology, 2020-12-06)This thesis focuses on two independent aspects of service network planning. The first aspect is operational and is related to load plan adjustment in Less-Than-Truckload (LTL) freight networks. The second one is both ... -
Advances in Tactical & Operational Planning for Less-than-Truckload Carriers
(Georgia Institute of Technology, 2020-11-24)This thesis explores tactical and operational planning problems in the context of the Less-than-Truckload (LTL) industry. LTL carriers transport shipments that occupy a small fraction of trailer capacity, and, thus, rely ... -
Interfacing Data Harnessing, Stochastic Modeling and Optimization for Maintenance Decisions for Railways
(Georgia Institute of Technology, 2020-11-03)The increasing demand for cost-effective and transparent solutions for the improvement of the maintenance decision-making process in railways fuels the development of more sophisticated and flexible models, which largely ... -
DECENTRALIZED OPTIMIZATION AND ANALYTICS FOR LARGE SCALE POWER SYSTEM PROBLEMS
(Georgia Institute of Technology, 2020-10-15)Large scale power networks form the backbone of the global energy infrastructure. Power system optimization problems are geared towards large scale planning problems in power systems. The solutions to these problems offer ... -
Hyperconnected City Logistics: Capillary Network Design and Management
(Georgia Institute of Technology, 2020-10-21)In hyperconnected city logistics, this dissertation focuses on capillary networks which enable first-and-last mile logistics and fulfillment activities and customer interfaces with logistics systems. Capillary logistics ... -
Analytics and Machine Learning for Healthcare Data
(Georgia Institute of Technology, 2020-08-19)The volume of data is expected to grow fastest in health care compared to any other industry. This creates a demand for the development of rigorous analytics and machine learning methods for applications to large health ... -
Statistical detection and survival analysis with applications in sensor networks and healthcare
(Georgia Institute of Technology, 2020-07-28)In this thesis, we present novel statistical methods for detecting abnormalities in a sequence of observations. We focus on two topics in statistics: change-point detection and survival analysis, and we demonstrate the ... -
Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms
(Georgia Institute of Technology, 2020-07-22)In this thesis, we investigate various optimization problems motivated by applications in modern-day machine learning. In the first part, we look at the computational complexity of training ReLU neural networks. We consider ... -
Efficient algorithms for solving multi-objective optimization and large-scale transportation problems
(Georgia Institute of Technology, 2020-07-21)In this thesis, we address two challenges: solving multi-objective integer programs and solving large-scale transportation problems. In Chapter 2, we present a novel fast and robust algorithm for solving bi-objective mixed ... -
Theory and applications of first-order methods for convex optimization with function constraints
(Georgia Institute of Technology, 2020-07-28)This dissertation focuses on the development of efficient first-order methods for function constrained convex optimization and their applications in a few different areas, including healthcare, finance and machine learning. ... -
Exploiting structure in mixed integer programming: Branching, cutting planes, and complexity
(Georgia Institute of Technology, 2020-07-21)As a powerful mathematical modeling framework, mixed integer programming (MIP) has seen many industrial applications in areas such as logistics, scheduling, capital budgeting, etc. Tremendous algorithmic advances have been ... -
Bayesian approach for feasibility determination and spatiotemporal scheduling
(Georgia Institute of Technology, 2020-07-14)This thesis mainly consists of four parts. The first three parts explore Bayesian methods in solving the feasibility determination problem that commonly arises in the study of simulation and the last part considers ... -
Disease modeling and resource sharing
(Georgia Institute of Technology, 2020-07-06)This thesis makes contributions to three research topics: shared-resource allocation, disease modeling, and evaluation of intervention methods. In Chapter 2, we consider a problem of allocating shared resources among ... -
Investigations into effectively moving people and goods
(Georgia Institute of Technology, 2020-05-19)In this thesis,we investigate practical methods to move people and goods effectively on the road network. In the first part of this thesis, we focus on route guidance for the movement of people while in the second part we ... -
Investigations in time-dependent combinatorial optimization problems and their applications
(Georgia Institute of Technology, 2020-05-19)We explore three distinct but related combinatorial optimization problems involving time. Chapter 2 focuses on a time-indexed integer programming (IP) formulation for solving the Traveling Salesman Problem with Time Windows ... -
Multistage stochastic programming
(Georgia Institute of Technology, 2020-05-17)There are many practical problems where one has to make decisions sequentially based on data (observations) available at the time of the decision. Trying to make such decisions under uncertainty in some optimal way, looking ... -
Computer and biological experiments: Modeling, estimation, and uncertainty quantification
(Georgia Institute of Technology, 2020-05-05)Statistical experimental analysis is an indispensable tool in engineering, science, bio-medicine, and technology innovation. There are generally two types of experiments: computer and physical experiments. Computer experiments ... -
Choice-based revenue management with applications in transportation
(Georgia Institute of Technology, 2020-07-20)This dissertation consists of three studies on choice-based revenue management. All these studies are motivated by applications that arise in real-world business settings and have not been well addressed in the literature. ... -
ANALYTICS APPROACHES TO IMPROVE STRATEGIC, OPERATIONAL, AND CLINICAL DECISION-MAKING IN HEALTHCARE
(Georgia Institute of Technology, 2019-05-29)Healthcare and medicine both contain many complex and critical biological, clinical, and operational processes that cope with uncertainty, and require timely and effective decisions. Analytical methods such as mathematical ... -
Clustering and feature detection methods for high-dimensional data
(Georgia Institute of Technology, 2019-05-21)The majority of the real-world data are unlabeled. Moreover, complex characteristics such as high-dimensionality and high variety pose significant analytical challenges. In statistical and machine learning, supervised and ...
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