Current Students

• PhD: Metehan Doyran, Bilgecag Aydogdu, Gizem Sogancıoglu, Hui Liu, Peitong Li, Mang Ning, Liam Hand, Berfu Karaca, Jiawei Yu.
• MS: Francesco Bartolomeo, Markos Polos, Anna de Wolff, Stijn van Hannen, Frederieke Blom.

Past PhD Students

• Barış Evrim Demiröz (co-supervised with Prof. Lale Akarun), Boğaziçi University, Computer Engineering, "Person Detection and Tracking in Omnidirectional Cameras, and Rectangle Blanket Problem," 4 January 2019.
• Mehmet Koray Balcı, Boğaziçi University, Computer Engineering, "Player Profiling and Analysis of Abusive Behavior in Social Games," 28 December 2015.
• Heysem Kaya (co-supervised with Prof. Fikret Gürgen), Boğaziçi University, Computer Engineering, “Robust Machine Learning Methods for Computational Paralinguistics and Multimodal Affective Computing,” 14 May 2015.
• Hamdi Dibeklioğlu (as daily supervisor, promotor: Prof. Theo Gevers), University of Amsterdam, Informatics Institute, “Enabling Dynamics in Face Analysis,” 2 September 2014.

Past Master's Students

• Jingkang Hu, "Using call detail records data to predict post-earthquake evacuation with a machine learning approach," Utrecht University, Artificial Intelligence, 29 October 2024.
• Jens Jan Ruhof, "Data augmentation for facial expression based automatic pain assessment in equines," Utrecht University, Artificial Intelligence, 29 August 2024.
• Soheil Bagheri, Utrecht University, Game and Media Technology, "Co-speech gesture generation with non-deterministic deep learning methods," 14 August 2024.
• Lennard Bornemann (co-supervised with Sanne J.E. Bruijniks), Utrecht University, Artificial Intelligence, "A linguistic approach to detecting working alliance in therapist-patient psychotherapy," 14 August 2024.
• Lisanne Koetsier (co-supervised with Yasemin Salgırlı), Utrecht University, Artificial Intelligence, "Automated behavior estimation for pain detection in dogs with computer vision," 13 August 2024.
• Mylène Scholtens (co-supervised with Bilgeçağ Aydoğdu), Utrecht University, Human Computer Interaction, "Exploring the impact of affective design elements on the interpretations of CDR migration data in information visualization," 13 August 2024.
• David Natarajan, Utrecht University, Artificial Intelligence, "Pixels to Policy: Unravelling Refugee Integration in Urban Istanbul with Mobile Phone Data," 17 June 2024.
• Shreyash Maini, Utrecht University, Artificial Intelligence, "Brain Imaging Analysis for Prediction of Developmental Problems in Pre-term Infants," 9 April 2024.
• Rivka Vollebregt, Utrecht University, Artificial Intelligence, "A multimodal approach to working alliance detection in therapist-patient psychotherapy using deep learning models," 21 September 2023.
• Xinhao Lan, Utrecht University, Artificial Intelligence, "Traditional Augmentation Versus Deep Generative Diffusion Augmentation For Addressing Class Imbalance in Chest X-ray Classification," 20 September 2023.
• Tristan Thieme, Utrecht University, Artificial Intelligence, "Unveiling hidden victims: Anomaly detection in banking data for improved human trafficking identification," 21 August 2023.
• Abdalla Moustafa, Utrecht University, Artificial Intelligence, "FoodWasteAI: A Multi-Task Transformer Framework For Food Waste Image Processing," 21 August 2023.
• Michel Doré, Utrecht University, Applied Data Science, "Shape analysis of the Dutch Landrace Goat based on historical material," 15 July 2023.
• Milan van Beek, Utrecht University, Applied Data Science, "Assessment of the Coat Colour Phenotype of the Original Dutch Landrace goat, using a Machine Learning approach," 3 July 2023.
• Diana Gyurjian (co-supervised with Monique Smeets), Utrecht University, Artificial Intelligence, “Deep learning based detection of facial glow,” 31 May 2023.
• Çağla Balçık, Munich Technical University, Informatics, “Temporal Analysis of Migrants' Behaviour with Big Data”, 30 November 2022.
• Martijn Dekker, Utrecht University, Artificial Intelligence, "Assessing data quality for benchmarking adult-child interaction analysis tools," 22 July 2022.
• Kayleigh Schoorl (co-supervised with Ben Schouten), Utrecht University, Game and Media Technology, "An interactive mobile phone application for rehabilitation of children with motor skill impairments," 14 July 2022.
• Neele Dijkstra, Utrecht University, Artificial Intelligence, "Cross-modal recipe analysis for fine-grained geographical mapping of food consumption from images and supermarket sales," 1 June 2022.
• Joep van der Velden, Utrecht University, Game and Media Technology, "Gamification to improve speech recognition in the spoken medical transcript domain," 30 March 2022.
• Hongyi Zhu (co-supervised with Yasemin Salgırlı), Utrecht University, Artificial Intelligence, "Video-Based Dog Pain Recognition via Posture Pattern Analysis," 14 March 2022.
• Bas Kuipers, Utrecht University, Business Intelligence, "Extended Video2Report Database: Object Detection and Medical Action Recognition for Medical Consultations," 3 February 2022.
• Camille Gruter (co-supervised with Zerrin Yumak), Utrecht University, Artificial Intelligence, "Speech-driven facial animation for a speaker and listener using deep learning," 10 November 2021.
• Ana Papa (co-supervised with Adil Saribay), Utrecht University, Artificial Intelligence, "Automated confidence & academic humility detection in scientific papers," 23 August 2021.
• Ilias Gorantis, Utrecht University, Artificial Intelligence, "Determining influence of natural disasters and public holidays on airtime top-up transfers," 23 August 2021.
• Yannick Tamerius, Utrecht University, Artificial Intelligence, "Nowcasting precipitation with deep learning," 28 July 2021.
• Nicole van den Dries, Utrecht University, Human-Computer Interaction, "Usability evaluation of an ERP system," 20 July 2021.
• Ingmar van der Geest, Utrecht University, Artificial Intelligence, "Automated measurement of early gastric cancer size and resection margins using gross images," 12 July 2021.
• Rianne Lam, Utrecht University, Artificial Intelligence, "Short term prediction for the level of crowdedness at Amsterdam locations," 29 June 2021.
• Pınar Baki (co-supervised with Lale Akarun and Heysem Kaya), Boğaziçi University, Computer Engineering, "A Multimodal Approach for Automatic Mania Assessment in Bipolar Disorder," 8 December 2020.
• James Godlonton, Utrecht University, Artificial Intelligence, "Increased Interpretability and Performance in CCTV Anomaly Detection," 20 November 2020.
• Shiqi Bai, Utrecht University, Artificial Intelligence, "Exploring the value of international mobile credit transfers for migration analysis," 16 July 2020.
• Maria Francisca Pessanha de Meneses Ribeiro dos Reis (co-supervised with Jaime Cardoso), University of Porto, Faculty of Engineering, "Automatic Assessment of Equestrian Pain," 14 July 2020.
• Vladimir Hazeleger (co-supervised with Tom Powell), Utrecht University, Artificial Intelligence, "Identification and interpretation of heterogeneous sparse conditional independence structures using Gaussian Mixture Modelling and Gaussian Graphical Modelling," 26 June 2020.
• Emir Zeylan (co-supervised with Hamdi Dibeklioglu), Utrecht University, Artificial Intelligence, "Do Alzheimer's Patients Appear Younger than Their Age? A Study with Automatic Face Analysis," 5 June 2020.
• Niels Hendricx (co-supervised with Wilfried van Sark), Utrecht University, Computing Science, "Short term solar irradiance time-series forecasting with machine learning," 8 May 2020.
• Hilde Hummel (co-supervised with Huub Hoefsloot), Vrije Universiteit Amsterdam, Artificial Intelligence, "Analyzing Horse and Donkey Faces for Measuring Pain Expression", 27 March 2020.
• Laura Schiphorst, Utrecht University, Artificial Intelligence, "Computer vision based recognition of doctor's actions during medical consultations," 15 January 2020.
• Bas de Kan, Utrecht University, Artificial Intelligence, “Sex Detection of Portrait Sitters: Generating Training Sets using Style Transfer and Generative Adversarial Networks,” 10 January 2020.
• Arjan Schimmel, Utrecht University, Game and Media Technology, “Board Game Affect Detection: A Multimodal Approach in Detecting Emotional Moments during Play,” 19 December 2019.
• Joey de Groot, Utrecht University, Game and Media Technology, “Design and evaluation of demo-based educational interventions,” 19 December 2019.
• Jeroen Guelen, Utrecht University, Artificial Intelligence, “Weakly Supervised Roadside Object Segmentation Using Maps,” 13 December 2019.
• Nihan Karslıoğlu İman (co-supervised with Lale Akarun), Boğaziçi University, Computer Engineering, “Emotional Impact of Movies,” 2019.
• Batıkan Türkmen (co-supervised with Lale Akarun), Boğaziçi University, Computer Engineering, “Video Based Automatic Affect Analysis of a Child and a Therapist During Play Therapy,” 2019.
• Hüseyin Demirtaş (co-supervised with Mine Nakipoğlu), Boğaziçi University, Cognitive Science, “The effect of frequency on the comprehension of multi-word phrases in Turkish,” 2018.
• Cihan Sarı (co-supervised with A.A. Akdag Salah), Boğaziçi University, Systems and Control Engineering, “Tracing the colors of clothing in painting with image analysis,“ 2018.
• Furkan Gürpınar (co-supervised with Heysem Kaya), Boğaziçi University, Computational Science and Engineering, “Video and Image Based Face Analysis with Extreme Learning Machines,” 14 August 2017.
• Berhan Şenyazar (co-supervised with Inci Ayhan), Boğaziçi University, Cognitive Science, “The Role of Attention on Scene Recognition,” 1 August 2017.
• Rıdvan Salih Kuzu, Boğaziçi University, Systems and Control Engineering, “Authorship recognition in online social platforms,” 8 July 2017.
• Sadaf Afshar Savojbolaghi, Boğaziçi University, Computational Science and Engineering, “Facial Expression Recognition In The Wild Using Improved Trajectories And Fisher Vector Encoding,” 29 July 2016.
• Eda Aydın Oktay, Boğaziçi University, Computational Science and Engineering, “Affect Analysis of Communication Texts in Turkish Language,” 29 February 2016.
• Çiğdem Koçberber, Boğaziçi University, Computer Engineering, “A Dynamic Saliency Based Method for Video Retargeting,” 11 August 2015.
• Gül Varol, Boğaziçi University, Computer Engineering, “Efficient Action and Event Recognition in Videos Using Extreme Learning Machines,” 27 March 2015.
• Dicle Öztürk, Boğaziçi University, Computer Engineering, “Detecting Subjectivity in the News Texts in Turkish,” 26 September 2014.
• Didem Gündoğdu, Boğaziçi University, Computer Engineering, “Countrywide anomalous incident detection from aggregated mobile phone data,” 2 September 2014.
• Furkan Işıkdoğan, Boğaziçi University, Computer Engineering, “Computer vision based reuse detection in digital artworks,” 12 July 2013.