Towards automated joining element design. - Derk Hendrik Dominick Eggink; Marco Wilhelm Groll; Daniel F. Perez-Ramirez; Johannes Biedert; Christoph Knödler; Patrick Papentin (KES, 2019)

ML-Driven DASH Content Pre-Fetching in MEC-Enabled Mobile Networks. - Rasoul Behravesh; Daniel F. Perez-Ramirez; Akhila Rao; Davit Harutyunyan; Roberto Riggio; Rebecca Steinert (CNSM, 2020)

Automated joining element design by predicting spot-weld locations using 3D convolutional neural networks. - Derk Hendrik Dominick Eggink; Daniel F. Perez-Ramirez; Marco Wilhelm Groll (ICE/ITMC, 2020)

Demo Abstract: Elastic Deployment of Robust Distributed Control Planes with Performance Guarantees. - Daniel F. Perez-Ramirez; Rebecca Steinert; Natalia Vesselinova; Dejan Kostic (INFOCOM Workshops, 2020)

Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking. - Natalia Vesselinova; Rebecca Steinert; Daniel F. Perez-Ramirez; Magnus Boman (IEEE Access, 2020)

A Low-resolution infrared thermal dataset and potential privacy-preserving applications. - Shuai Zhu; Thiemo Voigt; Daniel F. Perez-Ramirez; Joakim Eriksson (SenSys, 2021)

Poster: TheDet: A Machine Learning-based Privacy-preserving Occupancy Estimation Method. - Shuai Zhu; Joakim Eriksson; Thiemo Voigt; Daniel F. Perez-Ramirez (EWSN, 2022)

Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH). - Rasoul Behravesh; Akhila Rao; Daniel F. Perez-Ramirez; Davit Harutyunyan; Roberto Riggio; Magnus Boman (IEEE Trans. Netw. Serv. Manag., 2022)

DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. - Daniel F. Perez-Ramirez; Carlos M. Pérez-Penichet; Nicolas Tsiftes; Thiemo Voigt; Dejan Kostic; Magnus Boman (IPSN, 2023)

Reducing the Number of Leads for ECG Imaging with Graph Neural Networks and Meaningful Latent Space. - Giacomo Verardo; Daniel F. Perez-Ramirez; Samuel Bruchfeld; Magnus Boman; Marco Chiesa; Sabine Koch; Gerald Q. Maguire Jr.; Dejan Kostic (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Variational Quantum Algorithms for Combinatorial Optimization. - Daniel F. Perez-Ramirez (CoRR, 2024)

Robust Generalization of Graph Neural Networks for Carrier Scheduling. - Daniel F. Perez-Ramirez; Carlos M. Pérez-Penichet; Nicolas Tsiftes; Dejan Kostic; Magnus Boman; Thiemo Voigt (CoRR, 2024)

CASTILLO: Characterizing Response Length Distributions of Large Language Models. - Daniel F. Perez-Ramirez; Dejan Kostic; Magnus Boman (CoRR, 2025)