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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
BIOGRAPHY
About me
Posts
New preprint: The Cardinality of Identifying Code Sets for Soccer Ball Graph with Application to Remote Sensing
Published:
less than 1 minute read
I am happy to announce that my co-authors and I have released the preprint of our new paper: The Cardinality of Identifying Code Sets for Soccer Ball Graph with Application to Remote Sensing, available here.
How to conference: 2 Golden rules for networking
Published:
5 minute read
Despite how others perceive me, I am actually quite shy. When faced with a room full of people, all huddled together in their little groups, chatting and having fun, I often find myself frozen and insecure. Who should I approach? How do I join a conversation? Where do I start?
Moon milk
Published:
12 minute read
The first conferences I ever attended as a doctorate student were IJCAI 2017 and CP 2017, which both took place in Melbourne. At the time, I had a position as a visiting researcher at ICTEAM at Université catholique de Louvain. After the conference, three fellow doctorate students from UC Louvain and I travelled to Tasmania, for a two-and-a-half-day trip. It resulted in one of my favourite travel stories of all time.
IJCAI 2023: Are poster sessions good, actually?
Published:
8 minute read
Last week I attended the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) in Macao, SAR.
Introducing gismo: a tool for finding grouped independent supports
Published:
28 minute read
My first paper since joining Prof. Dr. Kuldeep Meel’s group at the National University of Singapore (NUS) has been accepted to IJCAI 2023! The topic of this paper was a completely new direction for me, and I learned a lot during this project. I had the great privilege to work with Kuldeep and with Prof. Dr. Arunabha Sen for Arizona State University (ASU) on this project, and learned a lot from each of them. In this blog post, I will share a bit about the problem that we solve, why it needs solving, and how we solve it, introducing our new tool: gismo.
Books that helped me through my doctorate
Published:
6 minute read
Two months ago, I defended my dissertation. I am very grateful to my advisors, my doctorate committee, my opposition committee, and my paranimphs. I thought long and hard about which thank-you presents would be appropriate and of value to them. In the end, I just decided to present them with some wisdom.
It takes a village
Published:
8 minute read
As a Master student, I once asked Siegfried if I should use ‘‘I’’ or ‘‘we’’ in my thesis. After all, the words were written by me, but we did the research together. He explained that, even if you are the sole author of a text, you should always write ‘‘we’’, because no piece of research ever is the product of just one person. I believed him then, but the experience of being a PhD candidate drove the lesson home, never to be forgotten. In this blog post, however, I am truly ‘‘I’’, and use it to thank those that make us ‘‘we’’.
In Memoriam: Fahiem Bacchus
Published:
3 minute read
Last weekend, we learned that professor Fahiem Bacchus had passed away. I was, and still am absolutely devastated to hear this news.
Workshop on Counting and Sampling, 2021 edition
Published:
less than 1 minute read
Just like last year, the International Workshop on Counting and Sampling was held online, in conjunction with the SAT conference. Just like last year, I was honoured to be invited to submit an extended abstract to this workshop.
Defence time for Jeroen
Published:
less than 1 minute read
I am very proud of my student Jeroen Rook, who defended his Master thesis today! The title of his presentation was: Caching in Model Counters: A Journey through Space and Time. With a very general audience, Jeroen had his work cut out for him to explain not only his work, but also the basics of propositional model counting.
I’m a good reviewer!
Published:
7 minute read
Actually, that is not true. I am an outstanding reviewer! Or so say the Association for the Advancement of Artificial Intelligence and the AAAI-21 Program Committee.
Daniël’s graduation
Published:
1 minute read
I feel like I just levelled-up as a scientist! Yesterday, the wonderful Daniël Fokkinga graduated with a very nice grade!
Daniël defends his work
Published:
1 minute read
Yesterday was a very special day: Daniël Fokkinga, the master student who I have been supervising together with Marie Anastacio, Holger Hoos and Siegfried Nijssen, presented and defended his master thesis!
BNAIC/Benelearn 2019
Published:
1 minute read
Last week I attended the Benelux Conference on Artificial Intelligence and Machine Learning (BNAIC) for the first time. This year, it was held in Brussels, in my beloved Belgium.
Impressions of IJCAI 2019
Published:
7 minute read
This summer I got to attend the International Joint Conference on Artificial Intelligence (IJCAI) for the third year in a row!
“Can we fix it?” - winning an elevator pitch award
Published:
7 minute read
To my surprise, I won an award for public speaking!
Informatics Ladies’ Day 2018
Published:
less than 1 minute read
Op vrijdag 16 november 2018 organiseren VHTO (Landelijk expertisebureau meisjes/vrouwen en bèta/techniek) en LIAXX (het vrouwennetwerk van de opleiding Informatica aan Universiteit Leiden) weer een Informatics Ladies’ Day (ILD)!
publications
Combining Stochastic Constraint Optimization and Probabilistic Programming — From Knowledge Compilation to Constraint Solving
Published in Proceedings of the 23rd International Conference on Principles and Practice of Constraint Programming (CP 2017), 2017
Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams
Published in 8th International Workshop on Statistical Relational AI (StarAI 2018), held in conjunction with IJCAI 2018, 2018
Stochastic Constraint Propagation for Mining Probabilistic Networks (extended abstract)
Published in Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Stochastic Constraint Propagation for Mining Probabilistic Networks
Published in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019
Programming a Stochastic Constraint Optimisation Algorithm, by Optimisation
Published in Workshop Data Science meets Optimisation (DSO), held in conjunction with IJCAI 2019, 2019
Better Caching for Better Model Counting (extended abstract)
Published in International Workshop on Model Counting (MCW), held in conjunction with SAT 2020, 2020
Stochastic Constraint Optimisation with Applications in Network Analysis (extended abstract)
Published in International Workshop on Model Counting (MCW), held in conjunction with SAT 2020, 2020
Caching in Model Counters: A Journey through Space and Time (extended abstract)
Published in Workshop on Counting and Sampling, held in conjunction with SAT 2021, 2021
Exact stochastic constraint optimisation with applications in network analysis
Published in Artificial Intelligence, 2022
Stochastic Constraint Optimisation with Applications in Network Analysis (extended abstract)
Published in Workshop on Counting and Sampling 2022, in conjunction with FLoC 2022 and SAT 2022, 2022
Optimal decision-making under constraints and uncertainty (dissertation)
Published in Leiden University, 2022
Solving the Identifying Code Set Problem with Grouped Independent Support
Published in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, 2023
Solving the Identifying Code Set Problem with Grouped Independent Support (extended abstract)
Published in The 22nd workshop on Constraint Modelling and Reformulation (ModRef 2023), in conjunction with CP 2023, 2023
SharpVelvet
Published in github, 2024
The Cardinality of Identifying Code Sets for Soccer Ball Graph with Application to Remote Sensing (preprint)
Published in arXiv, 2024
talks
ICT.Open 2019: Elevator Pitch Competition & regular talk: Making optimal decisions under constraints and uncertainty
Published:
More information about the competition here. More information about the work here
Arizona State University: Solving the Identifying Code Set Problem with Grouped Independent Support
Published:
teaching
Physics Laboratory
Graduate course, University of Amsterdam, 2009
A student assistant is a Bachelor student who assists the lecturer of a course. This is a paid position. My responsibilities included:
Artificial Intelligence
Undergraduate course, Leiden University, 2015
A student assistant is a Master student who assists the lecturer of a course. This is a paid position.
Reinforcement Learning
Graduate course, Leiden University, 2018
An assistant lecturer is a PhD student who assists the lecturer of a course and has responsibilities that go beyond what is typically expected of a PhD student or other teaching assistant.
Neural Networks and Deep Learning
Graduate course, Leiden University, 2018
A teaching assistant (TA) is a PhD student who assists the lecturer of a course.
Social Network Analysis for Computer Scientists
Graduate course, Leiden University, 2020
A student assistant is a Master student who assists the lecturer of a course. This is a paid position. As a student assistant, my responsibilities included:
Master student supervision
Student supervision, Leiden University, 2021
I supervised the following Master students for their 18 ECTS Research Project and their 42 ECTS Master Project: