MS in Computer Science and Software Engineering
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Recent Submissions
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Communication and Round Balanced Oblivious FSM Evaluation
Privacy is a major issue in the age of the Internet. Many advances are being made in Cryptography regarding performing computations over private data, both in homomorphic encryption, multi-party computation, and applications ... -
A Sequence Based Approach for Predicting Clinical Events
The data associated to each patient increases almost linearly as the patient flows through the continuum of care. Analysis of the data collected during a patient’s admission to the hospital reveals that it grows vertically ... -
Exploratory Wayfinding in Wide Field Ethnography
This thesis focuses on what wayfinding means in Wide Field Ethnography (WFE), and how to improve wayfinding activities in WFE datasets. WFE datasets are too large, unstructured and complex for researchers to easily understand, ... -
Scalable Propagation Algorithms for Node Labeling in Bipartite Graphs
Bipartite graphs are graphs whose vertices can be partitioned into 2 different independent sets. Many interesting machine learning problems either present themselves naturally as problems of node ... -
Predictive Analytics and Decision Support for Heart Failure patients
In the last few years, legislations such as the Patient Protection and A ordable Care Act, also known as Obamacare, have emphasised the need for improving the quality of health care. Part of the programs introduced by this ... -
Classifying Child Maltreatment by Brain Imaging Data
Childhood maltreatment is a condition that leads to the development of behavioral issues and affect brain structure and functionality. Recent neuroimaging studies provide connection between deficits in brain volume, gray ... -
Gene Network Inference using Machine Learning and Graph Algorithms on Big Biomedical Data
Gene networks capture the interactions between different biological entities. These gene networks have many applications in modern day biology. In particular, gene networks can help to shed light on the underlying mechanisms ... -
Application of Machine Learning Techniques to Acute Myeloid Leukemia
This thesis is inspired by the position paper ”Predictive, personalized, preventive, par- ticipatory (P4) cancer medicine” [1]. The basic concept of P4 medicine was “The right patient with the right drug at the right dose ... -
Audio Screen: Unsighted Game Mechanics for Mobile Devices
Historically, most video games lean primarily on visual communication, making them inaccessible to the blind. Non-sighted gaming is beginning to gain some momentum, particularly with the proliferation of mobile devices, ... -
An Evaluation of Complex Adaptive Evolvable System Simulation
Building models has been a human activity for centuries. Through the ages man has discovered patterns in how objects function together in the exchange of information, materials, and energy. We know these groups of objects ... -
Prediction and Privacy in Healthcare Analytics
In the past decade, the United States federal government has made improving the healthcare system a major focus with legislation such as the Patient Protection and Affordable Care Act and the financial incentives for ... -
Discrete Gaussian Sampling for Low-Power Devices
Sampling from the discrete Gaussian probability distribution is used in lattice-based cryptosystems. A need for faster and memory-efficient samplers has become a necessity for improving the performance of such cryptosystems. ... -
Critical Mass: Performance and Programmability Evaluation of MASS (Multi-Agent Spatial Simulation) and Hybrid OpenMP/MPI
In this paper, we explore the relationship between programmability and performance within the context of two C++ parallel/distributed programming approaches: Hybrid OpenMP/MPI & MASS (Multi-Agent Spatial Simulation). Our ... -
Energy-aware Workflow Scheduling and Fuzzy Logic Based Capacity Provisioning in Cloud Environment
The increasing need of large-scale data centers has brought new challenges to the development of energy-efficiency techniques. Although many optimization techniques have been proposed, most of them neglect the characteristics ... -
MASS CUDA: ABSTRACTING MANY CORE PARALLEL PROGRAMMING FROM AGENT BASED MODELING FRAMEWORKS
Agent based modeling is the practice of simulating complex interactions by modeling the behavior of a single agent in the interaction, then observing the emergent behavior that occurs when many of those Agents interact. ... -
Selecting Robust Strategies in RTS Games via Concurrent Plan Augmentation
The multifaceted complexity of real-time strategy (RTS) games requires AI systems to break down policy computation into smaller subproblems such as strategic planning, tactical planning, and reactive control. To further ... -
Evaluating the Architecture Centric Traceability for Stakeholders (ACTS) Holistically from the Economic, Social, and Technical Perspectives
Software traceability has the capability of relating various artifacts produced throughout the development to assist with understanding the system from different viewpoints and abstraction levels. The Architecture Centric ... -
Intervention Recommendations to Minimize the 30-Day Risk-of-Readmission for Heart Failure
In this thesis, we investigate the problem of designing personalized intervention strategies to minimize 30-day readmission risk for heart failure (HF) patients. In particular, we propose a novel framework that recommends ... -
Eye tracking and game mechanics: An evaluation of unmodified tablet computers for use in vision screening software for children
Binocular vision issues are a primary cause of reading and writing difficulties among children, with as many at 25 percent of school-aged children needing vision therapy. Vision issues are a better predictor of academic ... -
Tracing Domain Data Concepts in Layered Applications
A goal of reusing source code is to lower development cost; however, reuse techniques usually require additional costs in creating generic source code and retrieving the appropriate source code from a code repository. This ...
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