Mastering the NEC Vector Engine Accelerator for Analytical Query Processing. - Annett Ungethüm; Lennart Schmidt; Johannes Pietrzyk; Dirk Habich; Wolfgang Lehner (ICDE Workshops, 2021)

Visualization of Machine Learning Uncertainty in AR-Based See-Through Applications. - Achref Doula; Lennart Schmidt; Max Mühlhäuser; Alejandro Sánchez Guinea (AIVR, 2022)

Expert Flagging of Commercial Microwave Link Signal Anomalies: Effect on Rainfall Estimation and Ambiguity of Flagging. - Julius Polz; Luca Glawion; Maximilian Graf; Nico Blettner; Elzbieta Lasota; Lennart Schmidt; Harald Kunstmann; Christian Chwala (ICASSP Workshops, 2023)

"Can You Handle the Truth?": Investigating the Effects of AR-Based Visualization of the Uncertainty of Deep Learning Models on Users of Autonomous Vehicles. - Achref Doula; Lennart Schmidt; Max Mühlhäuser; Alejandro Sánchez Guinea (ISMAR, 2023)

System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science. - Lennart Schmidt; David Schäfer; Juliane Geller; Peter Lünenschloß; Bert Palm; Karsten Rinke; Corinna Rebmann; Michael Rode; Jan Bumberger (Environ. Model. Softw., 2023)

On-The-Fly Data Distribution to Accelerate Query Processing in Heterogeneous Memory Systems. - André Berthold; Lennart Schmidt; Antonia Obersteiner; Dirk Habich; Wolfgang Lehner; Horst Schirmeier (ADBIS, 2024)

Demystifying Intel Data Streaming Accelerator for In-Memory Data Processing. - André Berthold; Constantin Fürst; Antonia Obersteiner; Lennart Schmidt; Dirk Habich; Wolfgang Lehner; Horst Schirmeier (DIMES@SOSP, 2024)

Tutorial: Unleashing the Intel Data Streaming Accelerator. - André Berthold; Lennart Schmidt; Wolfgang Lehner; Horst Schirmeier (BTW Workshops, 2025)