Theses - Department of Computer Engineering
Faculty of Engineering
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Graph/hypergraph partitioning models for simultaneous load balancing on computation and data
(Bilkent University, 2019-01)In the literature, several successful partitioning models and methods have been proposed and used for computational load balancing of irregularly sparse applications on distributed-memory architectures. However, the ... -
Automatic determination of navigable areas, pedestrian detection, and augmentation of virtual agents in real crowd videos
(Bilkent University, 2018-12)Crowd simulations imitate the behavior of crowds and individual agents in the crowd with personality and appearance, which determines the overall model of a multi-agent system. In such studies, the models are often ... -
Rule based segmentation of colon glands
(Bilkent University, 2018-09)Colon adenocarcinoma, which accounts for more than 90 percent of all colorectal cancers, originates from epithelial cells that form colon glands. Thus, for its diagnosis and grading, it is important to examine the ... -
Recognition of occupational therapy exercises for cerebral palsy
(Bilkent University, 2018-09)Depth camera-based virtual rehabilitation systems are gaining traction in occupational therapy for approaching patients with cerebral palsy. When developing such a system, a domain speci c exercise recognition method is ... -
Algorithms for structural variation discovery using multiple sequence signatures
(Bilkent University, 2018-09)Genomic variations including single nucleotide polymorphisms (SNPs), small INDELs and structural variations (SVs) are known to have significant phenotypic effects on individuals. Among them, SVs, that alter more than 50 ... -
Accelerating the understanding of life's code through better algorithms and hardware design
(Bilkent University, 2018-08)Our understanding of human genomes today is affected by the ability of modern computing technology to quickly and accurately determine an individual's entire genome. Over the past decade, high throughput sequencing (HTS) ... -
Fog supported wireless sensor networks for forest fire detection
(Bilkent University, 2018-09)Fog computing is a new paradigm that aims to extend the concept of cloud computing to the edge of the network, providing the end users network with extra storage and processing power. One big contribution of Fog computing ... -
Characterization of large structural variation using linked-reads
(Bilkent University, 2018-09)Many algorithms aimed at characterizing genomic structural variation (SV) have been developed since the inception of high-throughput sequencing. However, the full spectrum of SVs in the human genome is not yet assessed. ... -
Automated cell analysis in microscopy images
(Bilkent University, 2018-09)High-throughput microscopy systems have become popular recently, which facilitate to acquire boundless microscopy images without requiring human intervention. However, the analysis of such amount of images using conventional ... -
A producer-centric caching strategy for named data networking
(Bilkent University, 2018-09)With growing number of users and content on Internet, the existing Internet architecture needs to evolve to be more efficient to find and carry content, and Named Data Networking (NDN) is a new Internet architecture ... -
Privacy protection for spatial trajectories against brute-force attacks
(Bilkent University, 2018-08)The prevalence of Global Positioning System (GPS) equipped mobile devices and wireless communication technologies have resulted in widespread development of location-based services (LBS). As some typical examples of LBS, ... -
Quantifying and protecting genomic privacy
(Bilkent University, 2018-08)Today, genome sequencing is more accessible and affordable than ever. It is also possible for individuals to share their genomic data with service providers or on public websites. Although genomic data has significant ... -
Deep learning based cell segmentation in histopathological images
(Bilkent University, 2018-08)In digital pathology, cell imaging systems allow us to comprehend histopathological events at the cellular level. The first step in these systems is generally cell segmentation, which substantially affects the subsequent ... -
Graph problems in call models and switching networks
(Bilkent University, 2018-08)In the first part of this dissertation, we focus on graph problems that arise in call models. Such models are used to study the combinatorial properties of certain types of calls that include unicast, multicast, and ... -
Deepkinzero: zero-shot learning for predicting kinase phosphorylation sites
(Bilkent University, 2018-08)Protein kinases are a large family of enzymes that catalyze the phosphorylation of other proteins. By acting as molecular switches for protein activity, the phosphorylation events regulate intracellular signal transduction, ... -
Parallel streaming graph partitioning utilizing multilevel framework
(Bilkent University, 2018-08)Graph partitioning is widely used for e cient parallelization of a variety of applications. Streaming graph partitioning is a one pass partitioning solution provided to overcome high computation costs of o ine graph ... -
Spatio-temporal gene discovery for autism spectrum disorder
(Bilkent University, 2018-08)Whole Exome Sequencing (WES) studies for Autism Spectrum Disorder (ASD) could identify only around six dozen risk genes to date, because the genetic architecture of the disorder is highly complex. To speed the gene ... -
Relevance feedback and sparsity handling methods for temporal data
(Bilkent University, 2018-08)Data with temporal ordering arises in many natural and digital processes with an increasing importance and immense number of applications. This study provides solutions to data mining problems in analyzing time series ... -
Privacy-preserving computation and robust watermarking techniques for healthcare data
(Bilkent University, 2018-08)Health and genomic data is sensitive in terms of carrying private information about individuals. One can infer inherited/genetic disorders, their occurrence probabilities, information about race, and kinship by analyzing ... -
Spadis: selecting predictive and diverse SNPS in GWAS
(Bilkent University, 2018-08)Phenotypic heritability of complex traits and diseases is seldom explained by individual genetic variants identi ed in genome-wide association studies (GWAS). Many methods have been developed to select a subset of variant ...
