Browsing Ph.D. Theses by Title

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  • Job scheduling for heterogeneous supercomputers 
    Soner, Seren. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    This thesis addresses the job scheduling problem for heterogeneous supercomputers where accelerators such as GPGPUs or co-processors are employed. On homogeneous supercomputers, the problem of scheduling user jobs to the ...
  • Load balanced forwarding in multimedia wireless sensor networks 
    Işık, Sinan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Congestion is a challenging problem in wireless sensor networks which exacerbates with the high volume of data traffic imposed by video applications that are enabled by the evolution of low-cost camera hardware. In this ...
  • Localized multiple kernel algorithms for machine learning 
    Gönen, Mehmet. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    In recent years, several multiple kernel learning methods have been proposed in the machine learning literature. Different kernels correspond to different notions of similarity and multiple kernel learning can be used to ...
  • Medium access control layer performance ıssues in wireless sensor networks 
    Demirkol, İlker Seyfettin. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Wireless sensor networks (WSNs) present a promising technology for many applications providing an intelligent and remote observation of a destination. Among the various potential applications, there are health monitoring, ...
  • Model driven security framework for software design and verification 
    Deveci, Engin. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Information system security is receiving increasing attention every day because a security problem can cause serious nancial loss or even loss of lives. Some of these security problems occur as a result of poor design ...
  • Modelling software reliability using Hybrid Bayesian networks 
    Tosun, Ayşe. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    In this research, we analyse the problem of predicting software reliability from AI perspective. We observe that existing models are built based on expert knowledge including de ning a set of metrics through surveys and ...
  • Multi-resolution model plus correction paradigm for task and skill refinement on autonomous robots 
    Meriçli, Çetin. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Robots need to be taught what type of tasks or skills they are expected to perform, and how to perform those particular tasks or skills. However, there is no universally accepted single approach for transferring the task ...
  • Multi-view feature extraction based on canonical correlation analysis 
    Şakar, Cemal Okan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Canonical Correlation Analysis (CCA) aims at identifying linear dependencies between two sets of variables. CCA has recently become popular in the eld of machine learning with the increase in the number of multi-view ...
  • Multicasting for all-optical multifiber networks 
    Köksal, Fatih. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    We propose to use a layered graph approach, which has been previously proposed for unicasting, to have a more general, realistic and flexible model of an all-optical multifiber network for multicasting. This new presentation ...
  • Network-centric warfare communications with wireless sensor networks and data fusion 
    Önel, Tolga. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this thesis we aim to design efficient algorithms for wireless ad hoc sensor networks that are supporting network-centric warfare operations. These algorithms should conform to the hard end to end QoS requirements. They ...
  • Neural named entity recognition for morphologically rich languages 
    Güngör, Onur. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Named entity recognition (NER) is an important task in natural language pro cessing (NLP). Until the revival of neural network based models for NLP, NER taggers employed traditional machine learning approaches or finite-state ...
  • New dynamic group key agreement protocols and their formal analysis and applications 
    Ermiş, Orhan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    The essence of dynamic group key agreement protocols is to help compute a secure key for a group communication with a dynamic set of participants in distributed systems. Dynamic group key agreement protocols are expected ...
  • Nonuniformity in wireless sensor networks 
    Koşar, Rabun. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    Deemed as suitable for various challenging sensing tasks, wireless sensor networks evolve as candidates for deployment to different environments to perform the given task for as long as possible. Those networks operate ...
  • Novel models for credit card fraud detection 
    Kültür, Yiğit. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Financial institutions attach great importance to credit card fraud detection, as a natural consequence of the multi-billion dollar annual losses incurred due to credit card fraud. Rule based systems have been commonly ...
  • On the evolutionary coupling and its measurement 
    Kırbaş, Serkan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Evolutionary Coupling (EC) is the implicit relationship between the artifacts or parts of the software system that are frequently changed together during evolution of a system. Understanding the EC in software systems is ...
  • Ontology-based entity tagging and normalization in the biomedical domain 
    Karadeniz Erol, Zeynep İlknur. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    One of the challenges for scientists in the biomedical domain is the huge amount and the rapid growth of information buried in the text of electronic resources. Developing text mining methods to automatically extract ...
  • Optimization and orchestration in multi-tier edge computing 
    Baktır, Ahmet Cihat. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    In addition to the efforts in the next-generation cellular networks and traditional network services, the demand for a novel set of services leveraged through smart devices and artificial intelligence (AI) techniques ...
  • Optimization of next generation solar-powered radio access networks 
    Pamuklu, Turgay. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Due to the incontrovertible effects of global warming, society grows its sustainabil ity awareness regularly, and governments start to change their energy policies to pro mote green energy sources. However, mobile network ...
  • Parallel network flow algorithms 
    Kara, Gökçehan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Network flows is an active area of research that has applications in a wide variety of fields. Several network flow problems are reduced to either the maximum flow problem or the minimum cost flow problem. Maximum flow ...
  • Performance and cost efficient reliability framework for multicore architectures 
    Arslan, Sanem. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    Modern architectures become more vulnerable to soft errors with technology scaling. Enabling fault tolerance capabilities on all cache structures in a system is ine cient in terms of performance and power consumption. In ...

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