Ph.D. Theses: Recent submissions

  • Data-driven local search heuristics for bilevel network design problems 
    Sevim, İsmail. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    In the Network Design Problem (NDP), one aims to design the configuration of a network by installing links between a set of given nodes and determine the flow of a set of commodities over these installed links. In this ...
  • Distance-based learning approaches for multiple instance learning 
    Sivrikaya, Özgür Emre. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Multiple Instance Learning (MIL) is a weakly supervised approach that focuses on the labeling of a set of instances (i.e. bags) where the label information of in dividual instances is generally unknown. Many of the earlier ...
  • Optimal server placement, service deployment, and resource allocation in next-generation computer network 
    Ahat, Betül. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    With the expansion of mobile devices and new trends in mobile communication technologies, there is an increasing demand for diversified services. To accommodate a large number of services on a common network, it becomes ...
  • Classifier combination methods in pattern recognition 
    Baykut, Alper. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2002., 2002.)
    This thesis studies methodologies to combine multiple classifiers to improve classification accuracy. Different classifiers, training methods and combination algorithms are covered throughout this study. The classifiers ...
  • Leader-follower games for influence spread in social networks 
    Tanınmış, Kübra. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Influence Maximization Problem involves nding a set of individuals in a social network to trigger an in uence/information spread, i.e., a seed set, such that the maximum possible number of individuals are in uenced. In ...
  • New neurocomputational approaches for estimating road travel distances and for solving the euclidean traveling salesman problem 
    Aras, Necati. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1999., 1999.)
    Neural networks are among the most rapidly developing new scientific tools. There are numerous publications reporting their success in estimation and optimization. This work concentrates on both of these aspects and applies ...
  • Numeric methods for stochastic disease spread models 
    Yıldız, Zeynep Gökçe. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Disease spread models are important in controlling the new infectious diseases that suddenly threaten the public health. Mathematical tools are especially impor tant to understand the spread of the disease since experiments ...
  • Implicit algebraic curves and surfaces for shape modeling and recognition 
    Çivi, Hakan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Sciences and Engineering, 1997., 1997.)
    Implicit algebraic 2D curves and 3D surfaces are among the most powerful shape representations. With this approach, objects in 2D images are described by their silhouettes (em surfaces in 3D) and then represented by 2D ...
  • A new uniform order-based crossover operator for genetic algorithm applications to multi-component combinatorial optimization problems 
    Sivrikaya-Şerifoğlu, Funda. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1997., 1997.)
    In this thesis, a new uniform order-based crossover operator to be used in genetic algorithm applications to combinatorial optimization problems is presented. There are three pure types of combinatorial problems: assignment, ...
  • Evolutionary approaches to many-objective combinatorial optimization problems 
    Şahinkoç, Hayrullah Mert. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Many-objective evolutionary approaches try to characterize and overcome the challenges posed by the large number of objectives and have been shown to be very e ective for achieving good Pareto approximations. Despite the ...
  • Multi-objective approaches for multi-target learning 
    Adıyeke, Esra. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Multi-target datasets (MTD) require simultaneous prediction of several variables hence they are considered to be more challenging in terms of predictive tasks compared to single-target datasets. Mining of MTD requires ...
  • Campaign planning under sequence dependent family setups and co-production in process industry 
    Kalay, Serkan. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    We investigate tactical level production planning problem in process industries, with float glass manufacturing being the specific application domain. Process industries are cost intensive, and as a result, efficient usage ...
  • The determination of treatment plans for volumetric modulated ARC therapy 
    Dursun, Pınar. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Volumetric modulated arc therapy is the state-of-the-art technique for external radiation therapy treatment, where radiation can be delivered continuously during the rotation of the linear accelerator’s gantry. This property ...
  • Network flows with conflict constraints 
    Şuvak, Zeynep. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    It is a commonly used approach to model real life problems as network flow prob lems and they appear in a wide range of areas including telecommunication, wireless networks, transportation, healthcare and scheduling. Our ...
  • Mathematical programming and statistical learning approaches for multiple instance learning 
    Lök, Emel Şeyma. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Many real-world applications of classification require flexibility in representing complex objects to preserve the relevant information for class separation. Multiple instance learning (MIL) aims to solve classification problem ...
  • Network optimization models with fairness concern for disaster relief operations 
    Erbeyoğlu, Gökalp. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Humanitarian logistics activities, which aim to alleviate the suffering of the population after a sudden and calamitous event, confront us with a large number of interrelated and challenging network optimization problems. ...
  • Analysis of agent-based simulation models through metamodeling 
    Edalı, Mert. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In this thesis, we propose a three-stage analysis procedure to interpret input output relationships of agent-based simulation models. In the first stage, we use meta models of agent-based models to approximate the input-output ...
  • A decomposition approach to solve the selective graph coloring problem 
    Şeker, Oylum. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Graph coloring is the problem of assigning a minimum number of colors to all vertices of a graph such that no two vertices that are linked by an edge receive the same color. The selective graph coloring problem is a ...
  • Design and analysis of communication systems with high error correction capability through optimization 
    Kabakulak, Banu. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Channel coding is the term used for the collection of techniques that are employed in order to minimize errors which occur during the transmission of digital information from one place to another. Low–density parity–check ...
  • Local constraint based analysis in resource constrained scheduling 
    Özdamar, Linet. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1991., 1991.)
    Resource constrained scheduling problems are generally solved by optimization techniques which cannot accomodate large size problems with respect to computation time. Yet, fast and near optimal schedules are required in ...

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