About Me

I am a researcher at the Institute of Informatics at Clausthal University of Technology. My work focuses on machine learning, optimization, causal policy evaluation, geospatial analytics, reinforcement learning, and auditability for operational decision support.

Shared micromobility, particularly e-scooter systems, provides the empirical setting for much of this work. I study how urban mobility platforms can be predicted, planned, governed, and evaluated when decisions have to respect both operational goals and regulatory constraints.

Short Bio

Since 2021, I have been a research associate at the Institute of Informatics, Clausthal University of Technology. I am pursuing a PhD in computer science under the supervision of Prof. Dr. Jörg P. Müller, with a dissertation on governance-aware decision support for regulated urban mobility systems.

Before that, I studied business information systems at Clausthal University of Technology and transport, logistics, and mobility at Ostfalia University of Applied Sciences. My project work includes data-driven shared and micromobility research, AI education, and digital application systems.

Projects

Accepted / In Press

1. 2026

   SPARC: Single-Pass Scaling for Motion Forecasting with Conformal Bayesian Last Layers

   Sakif Hossain*, Julian Teusch*, Jörg P. Müller · * Equal contribution

   European Conference on Computer Vision (ECCV), 2026 · Spotlight · in press

2. 2026

   CLIPPER: Replayable Shortlisted Optimization for Repeated Spatial Coverage Planning

   Julian Teusch, Jörg P. Müller, Monika Sester

   ACM SIGSPATIAL 2026 · Research Track · in press

Publications

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Preprints

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