RailDresden 2025 – 11th International Conference on Railway Operations Modelling and Analysis

Dresden, Germany, April 1–4, 2025

Information about RailDresden2025

RailDresden 2025 solicits contributions dealing with any aspect of railway operations modelling and analysis. Typical, but not exclusive, topics of interest covering both passenger and freight transport are:

  • Railway alignment and network design
  • Line planning
  • Timetabling (scheduling and routing)
  • Rolling stock and crew scheduling
  • Railway maintenance planning and scheduling
  • Railway traffic management and rescheduling
  • Disruption management and contingency planning
  • Train delay prediction and conflict detection
  • Railway capacity assessment of nodes, lines and networks
  • Railway performance: punctuality, stability, robustness, resilience
  • Railway safety analysis and risk assessment
  • Railway signalling and control systems
  • Train trajectory optimization and train control
  • Driver Advisory Systems and Automatic Train Operation
  • Passenger flows in stations, on platforms, and dwell times
  • Passenger assignment
  • Rail freight transport
  • Rail yard operation and design
  • Multimodal transport systems, interaction with air, urban, and micro-mobility
  • Energy saving in railways
  • Emerging railway technologies
  • Rail governance and economics
  • Railway simulation and digital twins

Paper Submission and Important Dates

RailDresden 2025 submission options include:

  • Type A: Research paper
  • Type B: Industrial paper

The authors of research papers (Type A) should submit a full paper of a maximum length of 20 pages in ICROMA format including figures and references, while the authors of industrial papers (Type B) can submit a paper of at most 10 pages. The full research papers will be reviewed according to the standard scientific criteria: technical merit, originality, clarity and relevance. The review of the industrial papers will retain the former criteria except scientific originality. The purpose of an industrial paper is to showcase innovations and applications of research and development in the railway industry. The main author of an industrial paper is not affiliated with an academic institute. All the manuscripts should be original work. The paper template is available on the website: www.raildresden2025.de. Authors shall submit the full manuscript electronically using the aforementioned conference website.

  • Submission system open: August 1, 2024
  • Deadline paper submission: October 10, 2024
  • Notification of acceptance: December 20, 2024
  • Registration system open: November 1, 2024
  • Submission final paper: February 1, 2025
  • Early-bird registration end: February 1, 2025
  • Closure online registration: March 21, 2025
  • Conference days: April 1-4, 2025

30th Annual Meeting of the German Finance Association (DGF)

We cordially invite researchers and practitioners to participate in the 30th Annual Meeting of the German Finance Association (DGF) organized by the Department of Finance of RWTH Aachen University between September 26 and 28, 2024 

Call for Papers

We invite submissions of recent research papers. Guidelines for the submission are:

  • Submissions are only accepted through the online submission system (https://www.conftool.net/dgf2024/index.php?page=submissions).
  • The submission period is from February 01, 2024, to April 30, 2024 (midnight, CET).
  • Submissions are subject to a double-blind review process. Thus, papers have to be submitted in an anonymous format (no reference(s) to author(s) or affiliation(s)).
  • Only full papers in English are considered for review. Papers should be accompanied by an abstract of no more than 120 words.
  • Submissions accepted for presentation are also eligible for a special issue of the Journal of Business Economics comprising among other things Stefan Nagel’s keynote speech (see separate call on the Journal homepage; independent submission required, this is not an official publication outlet of the DGF)

For all necessary information (including location, accommodation, etc.) please visit www.dgf2024-conference.de.

On September 26, 2024, RWTH Aachen University will host several events, including a doctoral workshop and a Women-in-Finance event. Beginning in the early afternoon at about 3:00 pm, all participants are invited to join: 

  • a Women-in-Finance keynote speech by Mila Getmansky Sherman (University of Massachusetts Amherst, Isenberg School of Management),
  • a Meet-the-Editors session with Thierry Foucault (HEC Foundation Chaired Professor of Finance) and Stefan Nagel (Fama Family Distinguished Service Professor of Finance at the University of Chicago, Booth School of Business),
  • a practitioners’ talk on asset management.

We are looking forward to welcoming all participants to the get-together starting at 7:00 pm and hope for strong participation in the Thursday events. For more information on the Women-in-Finance and doctoral workshops, please visit www.dgf2024-conference.de.

On September 27 and 28, 2024, the School of Business Studies of FH Aachen will host about 30 sessions and a poster session, featuring the presentations of approximately 95 research papers. We are particularly proud to announce that this year’s keynote speech will be delivered by Stefan Nagel. Following the keynote, participants will have the opportunity to join a city tour of the beautiful and historic city of Aachen, followed by the conference dinner at City Hall Aachen.

The best paper and the best paper exclusively written by a PhD student will both be awarded prizes.

This year’s conference will include the following special sessions:

Deutsche Bundesbank Session on Banking Supervision & Regulation:

Topics to be addressed in this dedicated session include the linkages between bank and non-bank financial intermediaries, credit, sovereign and ESG risk, deposit stability and liquidity risk, interest rate risk and asset/liability management, stress testing and risk models, systemic risk and financial stability, as well as big data and machine learning in financial regulation.

VR-Bank eG  Region Aachen Session on Household Finance and Retail Banking:

This dedicated session centers around research related to the financial decision-making of private households. The topics covered include consumer behavior in retail banking, financial inclusion, literacy, and accessibility, technological innovations in personal finance, household expectations regarding economic issues, household consumption and saving behavior, as well as behavioral economics in household finance.

Session on Stochastic Finance and Statistics:

The dynamic nature of financial markets and the inherent yet changing risks, ranging from systemic to asset-specific risks, require reliable and sophisticated methods to support the management of risk exposures and mitigation of financial risks. Therefore, this session is dedicated to exploring how one can measure, detect, surveil, and infer changes in the stochastic structure of financial data and risks.

Session on Behavioral and Experimental Finance:

Behavioral perspectives are now being integrated into various fields to enhance our understanding of decision-making and market outcomes. Experiments have become a popular method for causally studying these behavioral questions. This session aims to bring together work from all fields of finance where research is conducted with a behavioral perspective and/or through experimental methods. The goal is to better understand when behavioral approaches are necessary to accurately describe behavior and when such descriptions can be based on standard assumptions.

Early bird registration for conference participation is from May 1 to July 31, 2024. Late registration starts September 1 and is available until September 20, 2024.

We are looking forward to an interesting conference and to welcoming you to Aachen!

Kind regards,

Wolfgang Breuer                           Andreas Knetsch                   Philipp Schmitz                                       
Peter Letmathe                             Lisa Spantig                          Ansgar Steland

FedCSIS 2024

19th Conference on Computer Science and Intelligence Systems
FedCSIS 2024 (IEEE #61123

Belgrade, Serbia, 8–11 September, 2024

For more information, please visit https://2024.fedcsis.org/

The mission of the FedCSIS Conference Series is to provide a presentation, discussion and a reputable publication forum in computer science and intelligence systems. The forum invites researchers and practitioners from around the world to contribute their research results focused on their scientific and professional interests in a chosen area of computer science.

LOGMS 2024 – International Conference on Logistics and Maritime Systems

International Conference on Logistics and Maritime Systems
August 26-29, 2024, University of Hamburg, Hamburg, Germany
Digital Waves in Logistics and Maritime Systems: Sailing Towards Efficiency

LOGMS provides a platform for establishing international networks among researchers and practitioners in logistics and maritime systems. The LOGMS conference is a meeting among maritime logistics and systems experts to share research methodologies and results with each other and explore future development directions. We hope that all people in this area are able to acquire useful information from this event and contribute to improving this platform.

Aims and Scope

The logistics and maritime industry is more and more driven by AI-enabled optimization and analytics, harnessing the vast amount of data generated everywhere in supply chains, including real-time data from IoT devices. This trend raises numerous research inquiries spanning areas like the operational management of autonomous vessels and transport equipment, gaining deeper insights into markets through the analysis of demand and price data, exploring new forms of collaboration, evaluating environmental impacts of systems and actors, and many more. Emerging innovations and smart technologies hold the potential to empower various stakeholders within the logistics and maritime sector, enabling them to make informed decisions, achieve heightened levels of performance, enhance sustainability, and ultimately bolster their competitive edge.

The organizers of LOGMS 2023 cordially invite you to submit your paper to this conference to join an open academic discussion on related topics. All papers related to theoretical developments and practical applications of logistics and maritime systems are welcome. We especially welcome application case studies from industries. Relevant topics include, but are not limited to:

  • Port Planning and Design
  • Maritime Policy Development and Analysis
  • Economic Impact of International Maritime Policy
  • Shipping and Ports Development
  • Port Economics
  • Port Operations and Operations Planning
  • Empty Container Repositioning
  • Port Simulation
  • Port Automation
  • Logistics Network Design
  • Optimization and Metaheuristics
  • Shipping & Transportation in Supply Chains
  • Revenue Management
  • Impact of Strategic Alliances
  • Supply Chain Modeling and Management
  • Air Transportation
  • Rail Transportation
  • Maritime Transportation
  • Inter-modal Transportation
  • Multi-modal Terminals and Transportation
  • Green Logistics
  • Safety in Port Operation
  • Cargo and Container Tracking Systems
  • Information Technology in Logistics
  • Wireless Communications for Ports
  • Positioning/Locating RTLS and GPS
  • Business Processes Innovation for Logistics
  • Unmanned Autonomous Moving Vehicles
  • Autonomous Vessel Operations
  • Automated Equipment in Logistics
  • AI for Ports and Maritime Logistics
  • Big Data Analytics in Maritime Systems
  • IoT for Enhancing Port Operations
  • Digital Twins for Maritime Logistics and Ports
  • Port Process Analytics
  • AI-based Logistics Optimization
  • Carbon-neutral Supply Chains
  • Safety in Logistics Services
  • Supply Chain Network Optimization
  • Advanced Planning & Scheduling
  • Production/Distribution Planning
  • Inventory Planning
  • Vehicle Routing & Scheduling
  • Reverse Logistics
  • Warehouse Management

Important Dates

  • Deadline Submission of Abstracts: April 23, 2024
  • Deadline Notification of Acceptance: May 7, 2024
  • Short and Full paper submission: May 30, 2024
  • Deadline Author Registration Early Bird: May 30, 2024
  • Final Deadline Author Registration: June 30, 2024


  • Extended abstracts: at least 4 pages long
  • Short papers. 4 to 8 pages long
  • Full papers: more than 8 pages long

Short and full papers will be published in the Springer series Lecture Notes and Computer Science (LNCS).

Registration Fees

The registration and submission tool will open in January/February 2024.

Conference Chairs

Leonard Heilig
Stefan Voß

ÖGOR Summer-School for PhD-candidates and Post-Docs

The Austrian Society for Operations Research (OeGOR) organizes for the third time a summer-school for PhD-candidates and Post-Docs.

Invited Speakers: Timo Gschwind (RPTU Kaiserslautern):
Introduction to Column-Generation Theory and Application

Maximilian Schiffer (TU München):
Combinatorial optimization augmented machine learning for contextual multi-stage problems

Date: 22.07.2024 – 26.07.2024

Place: University for Continuing Education (Donau Uni) Krems

Participation in the school is free of charge, if your institution or supervisor are members of ÖGOR or of an OR-Society in a neighboring country. However, lunch will be organized centrally, thus requiring a meal contribution of ca. € 60.- (nonrefundable) to be paid until 21.06.2024. All other food, travel and hotel arrangements must be organized and covered by the participants.

Registration: send an e-mail until May 24, 2024 to raimund.kovacevic@donau-uni.ac.at
Each invited speaker will give a two-day program. The participants are also invited to give a presentation of their work. Take the chance to create a bond with fellow students and with OeGOR!

22.7.-23.7. Timo Gschwind:
Introduction to Column-Generation Theory and Application

Column Generation (CG)-based methods are (among) the leading exact solution techniques
for many important combinatorial optimization problems including problems in routing,
scheduling, cutting and packing, and network design to name a few. CG itself is an iterative
procedure that can tackle Linear Programs (LPs) containing a huge number of variables. At
each iteration, it solves a restricted version of the LP containing only a subset of the variables
and one or several pricing problems to generate missing variables. When solving integer
problems, CG is embedded in an overall strategy (e.g., Branch-and-Bound) to guarantee
integer solutions, resulting in an integer CG approach (e.g., Branch-and-Price, B&P). However,
(integer) CG approaches are not out-of-the-box solution methods. Many important building
blocks are often problem specific and a textbook implementation of basic CG is typically not
competitive. This course begins with a practice-oriented introduction to CG and B&P. It then covers the
basic theory of (integer) CG and discusses more advanced techniques such as pricing
strategies, cutting, strategies to obtain integer solutions, stabilization, variable fixing, or CGbased
heuristics. Overall, the course aims at providing a balance between theoretical foundations and ready-to-apply knowledge for designing and implementing CG approaches.
The course also includes practical implementation sessions.

24.7.: Short presentations by the participants

25.7.-26.7. Maximilian Schiffer:
Combinatorial optimization augmented machine learning for contextual multi-stage problems

Combinatorial optimization augmented machine learning (COAML) is a novel field that
combines methods from machine learning and operations research to tackle contextual datadriven
problems that involve both uncertainty and combinatorics. These problems arise
frequently in industrial processes, where firms seek to leverage large and noisy data sets to
optimize their operations. COAML typically involves embedding combinatorial optimization
layers into neural networks and training them with decision-aware learning techniques.
In this summer school, we will learn i) how such algorithmic pipelines work and ii) how they
can be designed depending on the planning problem faced. We will then iii) focus on the
difference between pipelines that are based on structured learning and pipelines that are
based on reinforcement learning. Finally, we will focus iv) on a hands-on coding exercise to
build a respective algorithmic pipeline on our own to reflect the theory studied.
The participants are invited to attend the course with their own laptops, having
super-user access on their computers for installing the required resources, and
with wifi-internet access (Eduroam or 4G/5G).