Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.

To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

By train

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

The H-Bahn (Suspended Monorail System)

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

Map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.

Site Map of TU Dortmund University (Second Page in English).

ServicePortal UniMail

Contrast

Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.

To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

By train

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

The H-Bahn (Suspended Monorail System)

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

Map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.

Site Map of TU Dortmund University (Second Page in English).

ServicePortal UniMail

Program of TRR 391 Conference 2026

We have a three-day scientific program in a linear plenary format, i.e., there are no parallel sessions. Please find the full program below.

Wednesday, June 10

9:30am	Welcome and Coffee
10:00am	Session on High Dimensions and Regularization (TC02) Chair: Christoph Hanck 10:00am–10:40am Invited Speaker: Ines Wilms Cross-temporal forecast reconciliation using machine learning 10:40am–11:00am Monika Zimmermann Scalable estimation of large generalized additive models: Extended Fellner-Schall via Hutch++ and conjugate gradients 11:00am–11:20am Benedikt Lütke Schwienhorst Diffusion-based denoising beats vanilla score matching in parameter estimation: A theoretical explanation 11:20am–11:40am Axel Bücher Dimension reduction in multivariate extremes with an application to wind energy production 11:40am–12:00pm Ignacio Moreira-Lara A structural matrix autoregressions framework for international spillovers
12:00pm	Lunch
1:00pm	Keynote: Robert Metcalfe Title TBA
2:00pm	Coffee Break
2:30pm	Session on Prediction (TC06) Chair: Florian Ziel 2:30pm–3:15pm Invited Speaker: Andreas Pick Title TBA 3:15pm–3:40pm Timo Puschmann Monitoring distributional forecasts 3:40pm–4:05pm Christian Schulz Online regularized generalized linear models for (vine) copulas 4:05pm–4:30pm Yannick Hoga A robust test for equal predictive accuracy
5:30pm	Welcome Reception We invite you to get together at the beach bar Stadthafen nearby the conference venue for a BBQ and drinks (free of charge until 10:00pm).

Thursday, June 11

9:00am	Session on Experimental Design (TC01) Chair: Kirsten Schorning 9:00am–10:00am Invited Speaker: Vasiliki Koutra Designing experiments on networks 10:00am–10:25am Justin Lamberti Optimal designs for large time-dependent networks 10:25am–10:50am Robin Solinus Optimal design for stochastic processes
11:00am	Coffee Break
11:30am	Keynote: Stefan Nickel Towards data driven location science (DDLS)
12:30pm	Lunch
1:30pm	Session on Monitoring (TC04) Chair: Matei Demetrescu 1:30pm–2:10pm Invited Speaker: Wolfgang Schmid Monitoring matrix-valued data 2:10pm–2:20pm Marvin Napps Monitoring Kalman filter-based state estimation in power distribution grids 2:20pm–2:30pm Souhir Ben Amor Regularized distributional recurrent neural network with linear skip connection model for electricity price forecasting 2:30pm–2:40pm Bastian Amberg Towards closing the visibility gap: Leveraging flight operations data for adaptive logistics 2:40pm–2:50pm Sheila Görz From time series to spatial data: A generalized approach for change detection 2:50pm–3:10pm Fabian Schmidt Real-time monitoring for stock return predictability in nonstationary volatility environments 3:10pm–3:30pm Vasyl Golosnoy Online monitoring of multivariate realized volatility models
3:30pm	Coffee Break
3:45pm	Spotlight and Discussion on Open Problems in Energy and Transport Chair: TBA 3:45pm–4:05pm Invited Speaker: Layla Martin Title TBA 4:05pm–4:25pm Open Topics in 'Transport' - with reference to electric vehicles 4:25pm–4:45pm Open Topics in 'Energy' - with reference to logistics networks/supply needs
4:45pm	Poster-Session with Beer and Fingerfood (no full meal) Johannes Bao Parameter optimization for Kalman filter based distribution system state estimation using expectation-maximization algorithm Pauline Baur Optimal design of experiments for computer experiments in logistics using GAMLSS Sultan Mahmud Chomon Networked spatial effects in European electricity price forecasting Paul Elhorst Assessing the parameter estimates of linear-in-means and spatial econometric models Lara Meyn-Grünhagen Bridging events and covariates: An interpretable transformer model for multivariate Hawkes processes Jacob Grytzka A GAMLSS approach for interpretable emulation of climate-vegetation relationships Eva Hümmecke How much compensation do households demand for giving up price stability? Risk premia in electricity plan choice Marco Jeschke and Leia Betting Probabilistic modeling and forecasting of household energy consumption Lara Kuhlmann de Canaviri Bayesian optimization for decision support in transport logistics guided by global sensitivity analysis Steffen Maletz glmSTARMA - An R package for fitting spatio-temporal models based on generalized linear models Alexander Marx Contrastive learning recovers causal features for instrumental variable regression Lennard Maßmann A super learner for heterogeneous net average treatment effects Fabian Mies Doubly-multiscale nonparametric changepoint inference Maximilian Mowe Experimental design for the simulation of logistical terminals Nils Weitzel Inferring the spatio-temporal structure of climate variability Christian Weiß INGARCH models for spatio-temporal counts or ordinal data The poster session will end around 6:30pm.

Friday, June 12

9:00am	Session on Model Validation and Resampling (TC03) Chair: Carsten Jentsch 9:00am–9:45am Invited Speaker: Suhasini Subba Rao Graphical models for multivariate non-Gaussian time series via conditional specifications 9:45am–10:10am Christian Wurtz Structural analysis and (bootstrap) inference in matrix-autoregressive models 10:10am–10:35am Lujia Bai Validating spatial-temporal separability for stationary processes 10:35am–11:00am Antonio Fioravanti Nonparametric covariance estimation with bias correction and bootstrapping for spatial lattice processes
11:00am	Coffee Break
11:30am	Keynote: Daniel Nordman Inference and resampling for long-memory time series with Hermite ranks
12:30pm	Lunch
1:30pm	Session on Nonlinear Modeling (TC05) Chair: Holger Dette 1:30pm–2:15pm Invited Speaker: Mona Azadkia Coverage correlation coefficient 2:15pm–3:00pm Nadja Klein Bayesian regularized copula processes for multivariate outcomes with applications to distributional regression and time series forecasting of australian electricity prices 3:00pm–3:30pm Philip Dörr Testing for correct model specification in copula regression models
3:30pm	Coffee Break
4:00pm	Keynote: Zhou Zhou Inference of time-varying precision matrices in high dimensional non-stationary time series
5:00pm	Farewell