Collection of: <br>Final Year Project (FYP) <br>Industrial Attachment (IA) <br>Professional Attachment (PA) <br>Professional Internship (PI)

Recent Submissions

  • Multi-period principal-agent problems 

    Ooi, Kenneth Wen Rui (2019)
    There is a wealth of literature about principal-agent problems in single-period and continuous-time models, but investigation on such problems in a discrete-time, multi-period setting is relatively scarce. Hence, this ...
  • Investigation of heterostructure characteristics from AB initio principles 

    Chan, Yong Ming (2019)
    Heterostructures offers vast opportunities for novel experimentation on emerging phenomena due to various symmetry-breaking patterns at the interfacial structures. These effects cannot be observed in bulk constituents and ...
  • Understanding user behaviour on an online retail website 

    Tan, Xing Yuan (2019)
    The webmaster has always trying to understand the profiles of the site visitors, especially for the business owners. With the improvement of technology, we can capture every interaction of the users and perform a detailed ...
  • Modelling and analysis of resource allocation for hospital inpatient operations 

    Lum, Jocelyn, Wei Xin (2019)
    {Introduction} More patients are opting to go for Same-Day admissions, where they can register and go for their operations with significantly reduced waiting time. The objective of this paper is to find out the optimal ...
  • Application and analysis of embedding methods for node classification in homophily-rich networks 

    Tan, Yee Ying (2019)
    Using the structural link information in homophily-rich network graphs can potentially improve node classification accuracies. This research will test out the feasibility of using embedding methods to embed the structural ...
  • Ruin probability of insurer in a discrete time setting with heavy-tailed insurance and financial risks 

    Seah, Xin Hui (2019)
    This paper investigates the probability of ruin within a finite period of time in the context of an insurance company. It examines the reserve of an insurance business that is currently invested in a risky asset. There are ...
  • Gamma approximation of stochastic integrals 

    Nicholas, Susanto Tjandra (2019)
    This project provides a way to model the distribution of random processes and their cumulative values, which have their applications, but not limited to, the pricing of actuarial and financial derivatives. Specifically, ...
  • Balancing efficiency and fairness in ridesharing dispatching 

    Wu, Shanshan (2019)
    Ridesharing Apps have increased its significance in urban mobility that provides convenience and higher flexibility to match riders and on-demand drivers with immediate response time. Traditional systems for taxis ...
  • Quantitative analysis of the effectiveness of team-based learning on mathematics undergraduates 

    Amrita, Sridhar Narayanan (2019)
    Collaborative Learning is an emerging teaching strategy that uses group work as a tool for understanding and processing knowledge. Team-Based Learning, a type of Collaborative Learning strategy, achieves this goal through ...
  • Analysis of new long-read sequencing data 

    Phoa, Yohanes Alfredo (2019)
    The rapid development of powerful high throughput sequencing technologies has enabled us to gain valuable insights into the complexities of a human transcriptome. In recent years, Oxford Nanopore has developed a new ...
  • Can topology predict a financial crisis? 

    Dang, Thi Mai Vy (2019)
    Topological Data Analysis (TDA) is an emerging field of Applied Mathematics which combines the work of topology and computational geometry to extract insights from high-dimensional data sets. High-dimensional data sets are ...
  • The composite quantile regression for longitudinal data using the mixture of asymmetric laplace distributions 

    Jin, Ye (2019)
    We propose a linear mixture quantile regression approach, with composite quantile regression (CQR) as a special case, to analyze continuous longitudinal data via a finite mixture of asymmetric Laplace distributions (ALD). ...
  • Demand estimation and bundle price optimization : a data-driven approach 

    Lin, Ziwen (2019)
    The bundling of multi-products at a fixed price has become a popular marketing strategy and attracted many researchers’ attention. This dissertation investigates the bundle pricing problem with discrete choice models. ...
  • Fairness analysis in algorithm design 

    Guo, Yuewen (2019)
    With the development of AI technology, more and more decisions are made by algorithms instead of human beings. On the one hand, machines can greatly increase working efficiency and accuracy. On the other hand, the algorithms ...
  • Graphs with three eigenvalues 

    Xiong, Zhiyuan (2019)
    In this final year project, we have studied the graphs whose adjacency matrices have three distinct eigenvalues. There are mainly two topics studied in the project. First, in section 2, we focus on two interesting nonregular ...
  • Discrete event simulation and optimization for DOS in a public hospital 

    Chen, Zitong (2019)
    Through the research and learning in this Final Year Project (FYP), an aggregate stochastic model for the Department of Surgery (DOS) based on a careful study of data on individual patient arrival times, length of stay ...
  • Algorithmic information theory in the stock market 

    Loh, Kenneth (2019)
    The paper aims to study the various applications of algorithmic complexity on the stock market, and to evaluate the efficiency of each aspect. The efficiency is measured by the compression rate applied to simulated ...
  • A comprehensive study on spectral clustering 

    Lu, Siyao (2019)
    Spectral clustering is currently a widely used method for community detection. This Final Year Project (FYP) researched and learned on spectral clustering comprehensively in three main perspectives. Firstly, a guideline ...
  • Monopoles in gauge field theory 

    Dary, Farisan (2019)
    In this thesis, I explore the possible existence of finite-energy monopoles and dyons in the electroweak theory of Weinberg and Salam which is characterized by the symmetry breaking pattern SU(2) x U(1)Y → U(1)em. It has ...
  • Ultrawide band-based navigation for multi-agents 

    Seah, Ryan Meng Yong (2019)
    This project is about the use of neural networks in the development of a ultra-wideband (UWB) based localization system for micro-UAV swarm. The software in this project was developed in Linux and programmed in Python. The ...

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