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    Examining the Impacts of Self-selection on Household Vehicle Type Choice: Case Study of Tehran

    , Ph.D. Dissertation Sharif University of Technology Mohammadi, Ali (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    There is a specific focus in sustainable transportation to three domains of safety, air pollution, and energy consumption. All these three domains are affected by the vehicle type choice. An important factor to estimate the impact of vehicle type choice on safety, air pollution, and the energy consumption is self-selection, defined as the tendency of people to make their travel-related choices based on their abilities, needs, and preferences. Ignoring the self-selection effect may cause a bias in the estimation of the coefficients of affecting variables on the travel-related choice. The main objective of this thesis is to study the self-selection effect in vehicle type choice considering the... 

    Machine Learning Based Modeling of Cognitive Performance from Life-style Data

    , M.Sc. Thesis Sharif University of Technology Jazayeri, Farnaz (Author) ; Razvan, Mohammad Reza (Supervisor) ; Khaligh Razavi, Mahdi (Supervisor)
    Abstract
    For neurodegenerative diseases like Multiple Sclerosis, Alzheimer’s, or Parkinson’s disease early detection is required to slow progression and prevent disease onset. To do so, identifying early signs and symptoms of the disease as well as modifying lifestyle can play a crucial role. Nowadays, the increasing use of smart gadgets and sensors has paved the way for collecting behavioral data and therefore analyzing and extracting meaningful patterns. In this study, lifestyle and cognitive performance data have been collected via a platform called OptiMind. Previous studies have shown that the Integrated Cognitive Assessment (ICA) can identify patients with neurodegenerative disorders (such as...