Chair

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Professor
Lydia Y. Chen
lydiaychen@ieee.org


Ph.D. Students

</td>
Jeroen Galjaard
Jeroen Galjaard
Chaoyi Zhu
Chaoyi Zhu
Aditya Shankar
Aditya Shankar
Abel Malan
Abel Malan
Jean Pool Príncipe
Jean Pool Príncipe
Basile Lewandowski
Basile Lewandowski
ZhiWen Soi
ZhiWen Soi
Roberto Gheda
Roberto Gheda
Gert Lek
Gert Lek
Nikolay Blagoev
Nikolay Blagoev
Giulio Segalini
Giulio Segalini
</tr> </table>

Researcher Interns

Name Topics
Nicolas van Schaik Decentralized anomaly detection for service mesh networks

Collaborators

Name Affiliation
Pin-yu ChenPrincipal Researcher, IBM Research, USA
Sammer BannerVice president of research, ASM, USA
Kees BosPrincipal Scientist, Tata Steel, NL
Oğuzhan ErsoyResearcher, GenSyn.ai
Stefanie RoosProfessor at University of Kaiserslautern, Germany
Robert BirkeAssociate professor at University of Torino, Italy
Han RuiBeijin Technology University, China
Marten Van DijkCWI, the Netherlands
De-Nian YangAcademia Sinica, Taiwan

Alumni

Name First employment
Gill HuangStartup
Chi HongStartup
Masoud GhiasseShell Research, the Netherlands
Zilong ZhaoPostdoc, TUM Germany
Hao LiAssistant professor at Central South University, China

Master Thesis Students

Name Master/Intern Thesis/Project
Fulvio NardiMaster 25Model selection for text-image generative models
Arnob ChowdhuryMaster 25Federated and private multi-task learning for semiconductor processes
Vanessa TimmerMaster 25On exploring and exploiting time series watermark
Gijs PaardekooperMaster 24Multi-table synthesis through tabular transfoermer
Julio SanchezMaster 24Vertical multi-modality federated learning
Roberto GhedaMaster 24Confidential preserving Bayesian Networks on hybrid data
Nikolay BlagoevMaster 24Decentralised training of large language models
Casper MeijerMaster 24Inversion attacks for time series generative models
Jiayi TangMaster 24Watermarking Tabular Generative Models
Aditya ShankarMaster 23Vertical federated learning for time series
Chaoyi ZhuMaster 23LeadFL: Client side defense for backdoor attacks in federated learning
Abel MălanMaster 23Confidential federated Bayesian inference
Jiamin XuMaster 23Federated latent diffusion learning for tabular synthesis
Mohamed RashadMaster 23Vertical federated learning for classifier
Miruna BetianuMaster 23Domain adapation for large language models
Yijun ZhuMaster 22Permutation invariant tabular data synthesizer
Jeroen GaljaardMaster 22Noisy fewshots learrning
Erwin van ThielMaster 22Adversarial example for multi-label problems
Hans BrouwerMaster 22Self-supervised Audio-Reactive Music Video Synthesiss
Jin XuMaster 22AGIC: Approximate Gradient Inversion Attack on Federated Learning
Izaak CornelisMaster 21Federated learrning on non-IID data
Aditya KunarMaster 21GAN-based synthetic tabular data generator
Zhiyue ZhangMaster 21Disparity seeding for maximizing information spread on social networks
Bart CoxMaster 20Efficient multiple DNNs inference on edge devices
Shikhar DeveMaster 20Multi-fidelity hyper-parameter tuning for machine learning algorithms

Bachelor Thesis Students

Name Year Thesis
Ethan Keller2022FCT-GAN: Fourier Neural Operator for Global Relation Enhancement in Tabular Data Synthesizing
Viktor Velev2022LCT-GAN Improving the efficiency of tabular data synthesis vialatent embeddings
Orhan Rauf Akdemir2022Extending CTAB-GAN+ with StackGAN architecture
Marc Visser2022UniformGAN: generative adversarial networks in uniform probability spaces
Ben Provan-Bessell2021Text-to-Comic Generative Adversarial Network
Maciej Styczeń2021Automated Text-Image Comic Dataset Construction
Bartlomiej Kotlicki2021HaarCNN: Detection and Recognition of Comic Strip Characters with Deep
Darwin Morris2021Synthesizing Comics via Conditional Generative Adversarial Networks
Krzysztof Garbowicz2021DilBERT^2: Humor Detection and Sentiment Analysis of Comic Texts Using Fune-Tuned BERT Models
Cosmin Pene2021Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators
Mark Basting2021Multi-AL: Robust Active learning for Multi-label Classifier
Johnathan Rozen2021Robust Multi-label Active Learning for Missing Labels
Jan-Mark Dannenberg2021Time Series Synthesis using Generative Adversarial Networks
Pepijn te Marvelde2021Differentially Private GAN for Time Series
Marcus Plesner2021FeTGAN: Federated Time-Series Generative Adversarial Network
Auke Schaap2021Time Series Synthesis Using GANs - A take on DoppelGANger
Jeroen Galjaard2020Mema: Fast Inference of Multiple Deep Models
Hans Brouwer2020Modeling Inference Time of Deep Neural Networks on Memory-constrained Systems
Wouter van Lil2020Analysis of the effect of caching convolutional network layers on resource constraint devices
Simon Tulling2020Offline Compression of Convolutional Neural Networks on Edge Devices
Khalid El Haji, Noah Posner, Haka Ilbaş, Sergen Karpuz, and Victor Wernet2020Synthetic Waste Generator for Classification Training
Dennis Böhm, Dylan Franken, Govert de Gans, Bas Musters, and Bram van Kooten2020TAM 2.0
Simon Barendsem, and Jorick Spitzen2019Job containerization and orchestration to reduce TTC and operational costs