Guido Schryen

Head of Chair of Management Information Systems and Operations Research

University of Paderborn

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Artificial Intelligence Artificial Intelligence professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Guido Schryen is the Head of Chair of Management Information Systems and Operations Research at the University of Paderborn, Germany. His research primarily focuses on operations research, optimization techniques, and the applications of generative AI in literature reviews. Recent articles highlight his work on multi-objective scheduling problems, computational algorithms, and decision support frameworks for real-world applications.

Articles (12)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2020

Collaborators (4)

Jiaqi Yang

Macquarie University

AUSTRALIA

View details

Daniela Guericke

University of Twente

NETHERLANDS

View details

Mauricio Marrone

Macquarie University

AUSTRALIA

View details

Peter Dieter

University of Paderborn

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Guido Schryen

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Parallel branch-and-price algorithms for the single machine total weighted tardiness scheduling problem with sequence-dependent setup times

Exploring the scope of generative AI in literature review development

A two-level approach for multi-objective flexible job shop scheduling and energy procurement

Correction: A memetic NSGA‑II for the multi‑objective flexible job shop scheduling problem with real‑time energy tariffs

Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study

Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis

A memetic NSGA-II for the multi-objective flexible job shop scheduling problem with real-time energy tariffs

Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework

Literature reviews in operations research: A new taxonomy and a meta review

Decision support for disaster relief: Coordinating spontaneous volunteers

Study on sensitivity of electric bus systems under simultaneous optimization of charging infrastructure and vehicle schedules

Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments”

Collaborators (4)

Jiaqi Yang

Daniela Guericke

Mauricio Marrone

Peter Dieter

Make your next move.