Education

Courses

I teach the Machine Learning for Design 2nd year course (BSc, IDE), and the Crowd Computing for Design course (MSc, IDE). I am also teaching Crowd Computing (MSc, EEMCS) with Ujwal Gadiraju. I am contributing to the Advanced Machine Learning for Design course (MSc, IDE) coordinated by Evangelos Niforatos, and the Urban Data Science course (BSc, IDE) coordinated by Achilleas Psyllidis.

The students of the IDE faculty honoured me with their nomination as TU Delft Lecturer of the Year for the Academic Year 2021-2022.

I have lectured Information Retrieval (MSc, EEMCS) consecutively from 2013 until 2017; and Web and Database Technologies (BSc, EEMCS, with Claudia Hauff) consecutively from 2013 until 2020. I have been Course Coordinator of the 1st year course Metropolitan Data 1 (MSc Metropolitan Analysis, Design and Engineering), AMS Institute.

A complete list of master and bachelor theses that I supervised in TU Delft is available on the TU Delft Education Repository.

I believe that providing students with concrete research problems can arouse students’ curiosity in scientific careers, motivating them to pursue a thesis within the research group and, sometimes, to join a PhD program. In several occasions I worked one-on-one with students on individual research projects that later contributed to published articles; in other cases the involvement of students included the co-authorship of papers. Several of my master students decided to pursue a PhD trajectory. Some of them currently hold academic positions in prestigious European universities.

Supervised Master Students

• [2022] Ruben Dekker. Designing AI projects using a reactive digital canvas.
• [2022] Ji Youn Jung. Ethics, Gender, and Agents: The Role of Designers in Conversational Agent Design. The thesis work has been published in the proceedings of CHI 2022.
• [2022] Kilian Callebaut. CombinaTorch - Creating a Multi-Task, Multi-Dataset Framework for Deep Learning.
• [2022] Timo van Asten. Measuring Natural Surveillance at Scale: An Automated Method for Investigating the Relation Between the ‘Eyes on the Street’ and Urban Safety. The thesis work will published in the proceedings of CUPUM 2023.
• [2022] Wei Zeng. Enabling Human-In-The-Loop Interpretability Methods of Machine Learning Models: The Case of Bird Species Identification.
• [2021] Tomas Heinsohn Huala. FairData: A system to explore datasets as a tool to let data-centric researchers become aware of bias.
• [2021] Junyao Li. Explore a new book discovery experience in the public library. In collaboration with the Royal Library of the Netherlands.
• [2021] Yuxin Chu. Describing Images to Visually Impaired Users: a Requirement Elicitation Approach. In collaboration with the Royal Library of the Netherlands.
• [2021] Frederik Ueberschär. AI for Experience: Designing with Generative Adversarial Networks to evoke climate fascination. In collaboration with the Google AI team.
• [2020] Niels Bakker. Estimating crowd density and their emotions for city events using social media images.
• [2020] Mark van der Smagt. Noticing Grippy: Exploring vibration noticeability in the context of a wearable coping aid.
• [2020] Yu Liu. Improve the Mobility Situation around the ArenAPoort during Event. In collaboration with the Municipality of Amsterdam.
• [2020] Elyn Caili Wu. Design knowledge sharing platform for designers. In collaboration with Accenture Interactive.
• [2020] Panagiotis Solis. Global Interpretation of Image Classification Models via SEmantic Feature Analysis (SEFA). The thesis work has been published in the proceedings of TheWebConf 2021.
• [2020] Shengfeng Gu. Improving Search Relevance Feedback through Human Centered Design.
• [2020] Natasa Rikalo. Design for an automated system for research on genetic diseases.
• [2020] Gerard van Alphen. A multi-platform crowd-mapping application for urban object mapping using street-level imagery. The thesis work has been published in the proceedings of HCOMP2020.
• [2020] Jeroen ter Haar Romenij. Empowering Academic Graduate Job Search: The Design and Validation of a Task-Based Vacancy Platform.
• [2019] George Dimitropoulos. Detecting and Mitigating Bias in Machine Learning Image Data through Semantic Description of the Attention Mechanism: The use-case Gender Bias in Profession Prediction from Images.
• [2019] Manolis Manousogiannis. Medical Concept Normalization in User-Generated Text.
• [2019] Sharad Shriram. A Human-Machine Approach to Preserve Privacy in Image Analysis Crowdsourcing Tasks.
• [2019] Enreina Annisa Rizkiasri. Crowdsourced Knowledge Base Construction using Text-Based Conversational Agents.
• [2019] Neha Thuraka. Text-based conversational interface as an alternative to a crowdsensing mobile application.
• [2018] Owen Huang. Enabling Human Computation through Text-Based Conversational Agents. The thesis work has been published in the proceedings of UMAP2019.
• [2018] Vasileios Milias. Extracting the Cognitive Sense of Place from Place-Based Web Data.
• [2018] Roos de Kok. Analysing Individual Energy Consumption Behaviour using Social Media Data. The thesis work has been published in the Energy journal.
• [2018] Bas de Bock. Description and prediction of traffic events through social data.
• [2018] Agathe Balayn. Characterising and Mitigating Aggregation-Bias and its potential Unfairness in Crowdsourced Toxicity Annotations for the prediction of subjective properties. In collaboration with IBM Netherlands. The thesis work has been published.
• [2018] Septian Gilang Permana Putra. Forecasting of financial status of SMEs with Social Data. In collaboration with Exact. The thesis work has been published in the proceedings of ICWE2020.
• [2017] Aditi Rawat. Cross-Platform Expertise Characterisation for Question Routing.
• [2017] Hendra Hadhil Choiri. Quantifying and Predicting Urban Attractiveness with Street-View Data and Convolutional Neural Networks. The thesis work has been published in the proceedings of the 2018 Annual Meeting American Association of Geographers.
• [2017] Arkka Arkka Dhiratara. A Knowledge Discovery Framework for Understanding Energy Consumption Behavior using Social Data.
• [2017] Sambit Praharaj. Data Analytics in Web-based Education in the Higher-education Classroom. The thesis work has been published in the proceedings of UMAP 2017.
• [2017] Rucha Bapat. Helping Chatbots To Better Understand User Requests Efficiently Using Human Computation. The thesis work has been published in the proceedings of ICWE 2018.
• [2017] Gregory Afentoulidis. Gamification in Enterprise Crowdsourcing. The thesis work has been published in the proceedings of WebSci 2018.
• [2017] Carlo Van der Valk. Worker communities in online crowdsourcing markets. The thesis work has been published in the proceedings of HCOMP 2018.
• [2016] Sarah Bashirieh. Mobile crowdsourcing in an enterprise environment. The thesis work has been published in the proceedings of UMAP 2017.
• [2016] Giuseppe Silvestri. Cross-Platform Expertise Characterisation. Giuseppe was a Visiting Student from University of Calabria (Italy). The thesis work has been published in the proceedings of KDWEB 2015.
• [2016] Camiel Steenstra. Designing a privacy aware infrastructure for an Inclusive Enterprise at IBM. In collaboration with IBM Netherlands.
• [2016] Vincent Gong. Exploring Human Activity Patterns Across Cities through Social Media Data.
• [2016] Lie Yen Chun. On the influences of personality traits on employees engagement with gamified enterprise tools. In collaboration with IBM Netherlands.
• [2016] Friso Abcouwer. Measuring Task Complexity in Human Computation Systems.
• [2016] Uditha Ravindra. Social Temperature Sensing. In collaboration with IBM Netherlands.
• [2015] Elwin Dokter. Characterisation of Traffic Events using Social Media.
• [2015] Catalin Stanculescu. Driving engagement and online social behaviour of employees in an enterprise environment. In collaboration with IBM Netherlands. The thesis work has been published in the proceedings of CSCW 2016.
• [2015] Nidhi Singh. Enterprise Expertise Characterisation. In collaboration with IBM Netherlands.
• [2014] Christiaan Tito Bolivar. City Usage Analysis Using Social Media.
• [2014] Sijmen Hoogendijk. Ask the Right Expert – Question Routing Based On User Expertise in Web Questions Answering Systems.
• [2014] Debarshi Basak. Task Recommendation for Human Computation.
• [2014] Martijn Rentmeester. Towards a Social Web based solution to bootstrap new domains in cross-domain recommendations.
• [2013] Hariton A. Efstathiades. Extract Knowledge from Social Networks. In collaboration with IBM Netherlands. The thesis work has been published in the proceedings of WWW 2014.
• [2012] Nicolo Aquilini. Human-Enhanced Multimedia Analysis and Search.
• [2012] Matteo Silvestri, Giuliano Vesci. Expert finding in social networks.The thesis work has been published in the proceedings of EDBT 2013.
• [2012] Riccardo Volonterio. A framework for web based human and machine computation.
• [2012] Giorgio Sironi. Automatic alignment of user identities in heterogeneous social networks.
• [2012] Sara Magliacane. Towards a Rank-Aware Execution of Top-K SPARQL Queries. The thesis work has been published in the proceedings of ISWC 2012.
• [2011] Stefano Celentano, Lorenzo Furrer. Model-Driven Retrieval of Model Repositories.
• [2011] Laura Cigardi. Automatic Layout Composition of Multi-Domain Search Result Interfaces. The thesis work has been published in the proceedings of ICWE 2011.
• [2011] Marco Rivera. Editor WYSIWYG as a support for Model Driven Development of Web Applications.
• [2011] Michele Follo, Andrea Vaccarella. Diversification for multi-domain result sets.
• [2010] Chiara Pasini. Integration and Exploration of Linked Data and Unstructured Information over the Web.
• [2010] Bojana Bislimovska. Content-based search of model repositories with graph matching techniques. The thesis work has been published in the proceedings of ICWE 2011.
• [2009] Nicola Olivadoti. Component-based Design of Multimedia Indexing Processes.
• [2009] Jean-Philippe Bougie. A Natural Language Analysis Framework for Multi-Domain Queries.
• [2009] Zhou Zhonghai. Rich Web Interfaces for Multimedia Search Applications

Supervised Bachelor Students

• [2019] Jip Rietveld, Rolf de Vries, Jaap de Boer, Dieuwer Hondelink. Estimatic.
• [2019] Kevin van Heel, Jasper Ketelaar, Emre Ilgin, Yusuf Noor, Victor Ionescu. Final report for project Gymplanner.
• [2018] Emiel Rietdijk, Paul Verkooijen, Chris Berg. Managing medical data collection from multiple sources.
• [2017] David Alder, Jesse Tilro, Floris Doolaard, Niels Warnars. BEPSys 2.0: Central Registration Tool for Projects and Groups.
• [2017] Rebecca Glans, Mila Hendrikse, Martin Koole. Describing the language of the Dutch House of Representatives.
• [2016] A. van Ramshorst, J. Rothweiler. FleXentral: Managing the contingent workforce.
• [2016] T. van der Lippe, T. Smith, E. Anker. Enhanced GitHub code review.
• [2016] L. Scholten, B. van der Laan. Crowdfunding Platform for Events.
• [2014] P. Ardeshirzadeh, K. Kessels, K.P. Wan. Project Creation: Final report.
• [2014] B. Dumeljic. Moody Closet.
• [2013] T. Langerak A.T. Walterbos. Magnet.me IT Infrastructure Reorganization.
• [2013] H. Kant, D.E. Mast. Project COAT End Report.