Gerrit Jan de Bruin

PhD-Candidate

My research focuses on data and network science in the governmental domain. My supervisors from Leiden University are Frank Takes, Cor Veenman and Jaap van den Herik and from the Ministery Jasper van Vliet. I am part of the IDlab team within the Human Environment and Transport Inspectorate.

Mystery shopper

Although completely different to my main occupation, I have now more than ten years experience in mystery shopping. I like to contribute to a better experience for the clients I work for. I successfully completed hundreds of projects, ranging from service checks for airliners, to hotels, shops, and restaurants checks. For these projects, I sometimes switch to a different personality to get a genuine customer journey. In the end, I draft an extensive report which can be used for corporate compliancy checks, employee training or legal compliancy checks.

Volunteer

Managed with a team all ICT business including installing of cash decks, live streaming, website and communication system for more than 400 people.

System administrator

Responsible for buying and maintaining all necessary cloud, hardware and software solutions for this innovative company. Did this as well for their projects, such as innovaction, greenovate, KPOT, KCBI, PIT, hoef-kwartier maken.

Student Assistant

Helping at Open Days and "Meet the Bachelor" for the chemistry department and designing chemistry tests and make them available in DSO (Digital Chemistry Environment).

Gerrit Jan de Bruin, António Peirera Barata, Hendrik J. van den Herik, Frank W. Takes, Cor J. Veenman, Fair automated assessment of noncompliance in cargo ship networks, EPJ Data Science 11, 13 (2022).

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Supervised temporal link prediction in large-scale real-world networks, Social Network Analysis and Mining 11, 80 (2021).

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Experimental Evaluation of Train and Test Split Strategies in Link Prediction, in Proceedings of the 9th International Conference on Complex Networks, Studies in Computational Intelligence 994, pp. 79-91, Springer, 2020.

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Understanding Dynamics of Truck Co-Driving Networks, in Proceedings of the 8th International Conference on Complex Networks, Studies in Computational Intelligence 882, pp. 140-151, Springer, 2019.

Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Understanding Behavioral Patterns in Truck Co-driving Networks, in Proceedings of the 7th International Conference on Complex Networks, Studies in Computational Intelligence 813, pp. 223-235, Springer, 2018.

António Pereira Barata, Gerrit Jan de Bruin, Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Finding Anaomalies in Waste Transportation Data with Supervised Category Models, in Proceedings of the 27th Belgian Dutch Conference on Machine Learning, 15 pages, 2018.

Gerrit Jan de Bruin, , Cor J. Veenman, Hendrik J. van den Herik, Frank W. Takes, Understanding truck co-driving behaviour using network analysis, IC²S², extended abstract, 2019.

António Pereira Barata, Gerrit Jan de Bruin, Frank W. Takes, Cor J. Veenman, Data-driven Risk Assessment in Infrastructure Networks, ICTOPEN, extended abstract, 2018.

Data Science and Process Modelling

This is a third year BSc course, where data science and process modelling is taught. In this course students learn to make a dashboard in JavaScript, analyze log-data with Petrinets, and make predictions with scikit-learn, among others.

Programming methods

Introduction course for overy 200 first year students, introducing them in the C++-language.

Detection of suspicious behaviour from ship transponder data

Data-driven Prediction and Visualization of Rheumatoid Arthritis Flares

University of Amsterdam & Free University Amsterdam

Internship at Human Environment & Transport Inspectorate, research on Efficient compliancy monitoring: Comparison of both airborne and landside sniffing and spectrometric methods to provide direct control on the sulfur emissions of ships.

Internship at TNO, research on Possibilities for breath examination in the detection of an inbody explosive.

Subjects of Choice: Machine Learning 1 (6 EC), Mathematica for Physicists (3 EC), Advanced Seperation Sciences (6 EC), Advanced Statistics (6 EC), Chemical Analysis for Forensic Evidence (6 EC), The Analytical Chemist in Industry (6 EC) and Environmental Chemistry (6 EC)

Compulsory courses: Compulsory courses:Fundamentals of Analytical Science (6 EC), Mass Spectrometry (6 EC), Separation Sciences (6 EC) and Biomolecular Spectroscopy (6 EC)

Utrecht University

Internships at Van Wijhe Verf and "Condensed Matter and Interfaces" research group. Thesis about Nano-thermometry using Lanthanum Phosphates.

Playing korfball at Synergo

Playing volleyball at UvO

Organizing “JIFE”: a sport community for youth in Almere Haven

Player, Trainer, Coach and Referee at MIA (korfball)

Organizing Chemistry Sessions for primary school “De Wartburg”, Woudenberg

Organizing Korfball Sessions for primary schools