Full Name: Gabriel Nova Sepúlveda
Research Interests: Choice Modelling, Discrete choice, Stated Preference, Psychophysiological data
Languages Spanish (Native), English (B2)
PhD candidate
Delft University of Technology
04/2023 - present
Using Artificial Intelligence to Comprehend, Automate and Assist Choice Modellers` Decisions
MSc. in Transport
University of Chile
03/2021 - 09/2022
Random Utility Maximisation Model that Considers Sequential Attribute Evaluation
Civil Engineering with a major in Transport
University of Chile
03/2019 - 09/2022
Bachelor of Civil Engineering
University of Chile
03/2015 - 12/2018
Biomonitor Project Lader
Complex Engineering Systems Institute
07/2022 - 04/2023
Visiting MSc student
ITS - University of Leeds
03/2022 - 05/2022
Discrete Choice Model Lab Research Assistant
01/2021 - 04/2022
High school teacher
Liceo Madre Cecilia Lazzeri
10/2020 - 12/2020
XXI Chilean Transport Engineering Congress 2023: Extended paper accepted.
Random Utility Maximization model that considers sequential attributes evaluation
In Depth, Breadth-First or both? Characterising the information search process in a PT Experiment
Detection of emotions in PT users using psychophysiological indicators labelled with the International Affective Picture System (IAPS): The case of Valparaíso and Viña del Mar.
An interpretable machine learning model to classify emotions from psychophysiological and environmental data in public transport.
Building urban public transport system service level indicators based on user physiological data
Identifying factors that affect bicycle use using psychophysiological indicators.
hEART 2023: Extended paper accepted.
Random Utility Maximization model that considers sequential attributes evaluation
In Depth, Breadth-First or both? Characterising the information search process in a PT Experiment
An interpretable machine learning model to classify emotions from psychophysiological and environmental data in public transport.
WCTR2023: Extended paper accepted.
Random Utility Maximization model that considers sequential attributes evaluation.
2023 TRB Annual Meeting: Poster.
Random Utility Maximization model that considers sequential attributes evaluation.
7th International Choice Modelling Conference: Extended abstract accepted.
In-depth, Breath-first or Both? Toward the Development of a RUM-DFT Discrete Choice Model
IX Graduate Student Research Meeting 2021: Extended paper accepted.
In-depth, Breath-first or Both? Toward the Development of a RUM-DFT Discrete Choice Model
XXII National Congress of Civil Engineering Students 2021: Extended paper accepted.
In-depth, Breath-first or Both? Toward the Development of a RUM-DFT Discrete Choice Model.
RUM model that considers sequential attributes evaluation, Concepción 2023
City, Mobility and Data Seminar ISCI, Santiago 2022
The dilemma of the last mechanical, Santiago 2020
Workshop on the use of passive public transport data, Santiago 2020
Delft University of Technology
09/2023 - present
Statistical analysis of choice behaviour
University of Chile
03/2017 - 07/2022
Mentoring and internship guide (I-2021, II-2022, I-2023)
Engineering data analysis (II-2021, I- 2022)
Transport choice model (II-2020, II-2021)
Analysis of transport systems (II-2020, I-2021)
Project evaluation (I-2020, I-2021)
Introduction to Calculus (I-2017, II-2017, I-2019)
Introduction to Algebra (I-2017, I-2019)
Differential and integral calculus (II-2017, II-2018)
Optimization (II-2018)
Abertis Award in Infrastructure Management - 2023
Best Graduate Promotion - 2022