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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Some Unconventional Stochastic Programs
(Georgia Institute of Technology, 2022-05-03)Stochastic programming is a mathematical optimization model for decision making when the uncertainty is characterized by random events. This thesis is concerned with some stochastic programs that deviate from the conventional ... -
Decomposition algorithms based on the nonconvex augmented Lagrangian framework
(Georgia Institute of Technology, 2022-05-03)Many problems of recent interest arising from engineering and data sciences go beyond the framework of convex optimization and inevitably need to deal with nonconvex structures. The design of efficient optimization algorithms ... -
MECHANISM DESIGN IN ONLINE TRANSPORTATION MARKETPLACES
(Georgia Institute of Technology, 2022-05-02)This dissertation covers mechanism design problems in online logistic platforms. Chapter 2 considers an online order fulfilment problem in E-commerce retail, and we analyze policies based on the worst-case approach. The ... -
Design and Analysis of Algorithms for Composite Optimization
(Georgia Institute of Technology, 2022-04-28)In this thesis, we study first-order methods (FOMs) for solving three types of composite optimization problems: convex nonsmooth, convex hybrid, and nonconcex smooth. We revisit three representative methods among FOMs: ... -
Tractable approximations and algorithmic aspects of optimization under uncertainty
(Georgia Institute of Technology, 2022-05-10)This thesis has two themes. In chapters 1 and 2 we investigate tractable approximations to specific classes of computationally hard problems as they relate to the areas of signal estimation, system identification and ... -
Simulation optimization in the presence of environmental variables
(Georgia Institute of Technology, 2022-04-20)Systems whose performance can only be evaluated through expensive numerical or physical simulation are ubiquitous in practice. Numerous works that focus on optimization of such systems have been published over past ... -
A Unified Lyapunov Framework for Finite-Sample Analysis of Reinforcement Learning Algorithms
(Georgia Institute of Technology, 2022-05-05)Reinforcement learning is a framework for solving sequential decision-making problems without requiring the environmental model, and is viewed as a promising approach to achieve artificial intelligence. However, there is ... -
Statistical Learning and Decision Making for Spatio-Temporal Data
(Georgia Institute of Technology, 2022-04-20)Spatio-temporal data modeling and sequential decision analytics are a growing area of research, with an enormous amount of modern spatio-temporal data being consistently collected from the real world. These data include ... -
Sort Planning for Express Parcel Delivery Systems
(Georgia Institute of Technology, 2022-01-19)Parcel logistics services play a vital and growing role in economies worldwide, with customers demanding faster delivery of nearly everything to their homes. To move larger volumes more cost effectively, express carriers ... -
Managing Operations in Health and Humanitarian Systems Considering Consistency and Uncertainty
(Georgia Institute of Technology, 2021-05-01)This dissertation focuses on various problems motivated by health and humanitarian systems. When handling the problems, we pay attention to practical aspects of the real applications and consider intangible costs as well ... -
COST-EFFECTIVE MANAGEMENT OF DISEASES: EARLY DETECTION AND INTERVENTIONS FOR IMPROVED HEALTH OUTCOMES
(Georgia Institute of Technology, 2021-01-26)Physical and mental health conditions have an impact on a person’s daily life. If those conditions are not properly treated and managed, it may affect patients’ overall health. This thesis contributes to the decision-making ... -
Solution Techniques for Large-Scale Optimization Problems on the Transmission Grid
(Georgia Institute of Technology, 2021-12-14)In this thesis, we are interested in solution techniques and primal heuristics for several large-scale optimization problems on the transmission grid. While some of these problems have been studied for a long time, none ... -
Hyperconnected parcel logistic hubs
(Georgia Institute of Technology, 2021-12-14)Hyperconnected Parcel Logistic Hubs Shannon Buckley 144 Pages Advised By Dr. Benoit Montreuil This thesis focuses on the design of a new era of hub in the parcel logistics industry. Parcel logistics hubs (hubs) are the ... -
Real-time Data Analytics for Condition Monitoring of Complex Industrial Systems
(Georgia Institute of Technology, 2021-12-14)Modern industrial systems are now fitted with several sensors for condition monitoring. This is advantageous because these sensors can provide mass amounts of data that have the potential for aiding in tasks such as fault ... -
Stability, control, and optimization of nonlinear dynamical systems with applications in electric power networks
(Georgia Institute of Technology, 2021-12-13)Electric power systems in recent years have witnessed an increasing adoption of renewable energy sources as well as restructuring of distribution systems into multiple microgrids. These trends, together with an ever-growing ... -
Decomposition Methods in Column Generation and Data-Driven Stochastic Optimization
(Georgia Institute of Technology, 2021-12-13)In this thesis, we are focused on tackling large-scale problems arising in two-stage stochastic optimization and the related Dantzig-Wolfe decomposition. We start with a deterministic setting, where we consider linear ... -
Decision Making in the Presence of Subjective Stochastic Constraints
(Georgia Institute of Technology, 2021-12-09)Constrained Ranking and Selection considers optimizing a primary performance measure over a finite set of alternatives subject to constraints on secondary performance measures. When the constraints are stochastic, the ... -
Faster Conditional Gradient Algorithms for Machine Learning
(Georgia Institute of Technology, 2021-12-09)In this thesis, we focus on Frank-Wolfe (a.k.a. Conditional Gradient) algorithms, a family of iterative algorithms for convex optimization, that work under the assumption that projections onto the feasible region are ... -
ASYMPTOTIC ANALYSIS OF SINGLE-HOP STOCHASTIC PROCESSING NETWORKS USING THE DRIFT METHOD
(Georgia Institute of Technology, 2021-12-07)Today’s era of cloud computing and big data is powered by massive data centers. The focus of my dissertation is on resource allocation problems that arise in the operation of these large-scale data centers. Analyzing these ... -
Computational advances for big data analytics and medical decision making
(Georgia Institute of Technology, 2020-08-27)With the increase in volume and complexity of data and evidence, medical decision making can be a complex process. Many decisions involve timeliness, uncertainties, and tradeoffs, and can have serious consequences for ...
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