Frame
Define the operational problem, decision, stakeholders, boundary, and evidence in one page.
Guidance for students · evidence for academic and professional visitors
This page has two connected paths. Students can find my personal welcome, how we will work together, and the full Thesis Toolkit. Visitors can review my supervision approach, research environments, doctoral collaboration, and completed-thesis evidence.
For current and prospective students
Understand what you can expect from me, what I expect from you, and where to find practical help throughout the thesis journey.
For academic and professional visitors
See the research contexts, supervision philosophy, doctoral work, completed theses, and reusable infrastructure behind my practice.
I’m Breno, an Assistant Professor at the University of Twente. After supervising many thesis projects, I built this toolkit to make the process calmer and more predictable: clearer expectations, fewer last-minute surprises, and feedback you can actually act on.
If you are writing your thesis with me, start with the Research Collaboration System. It explains how we share work, how feedback works, and how to prepare for meetings. If you are not my student, feel free to reuse anything that helps.
I’m here to help you think clearly, not to tell you what to do. I expect you to lead; I will ask questions, challenge vagueness, give direct feedback, and help when you are stuck. By the end, you should be able to defend every choice you made and own the work with confidence.
I care about your development as a researcher. I’ll push you. I’ll be honest. I’ll celebrate your wins. And I’ll help you when things go wrong.
Warm regards,
Dr. Breno A. Beirigo
Assistant Professor at the University of Twente

Define the operational problem, decision, stakeholders, boundary, and evidence in one page.
Establish what a valid solution must beat and how correctness will be checked.
Develop the method through small, inspectable experiments and recorded decisions.
Connect results to the research question, limitations, and practical meaning.
Make the researcher—not the supervisor—the final authority on the work.
The Thesis Toolkit keeps expectations, meetings, feedback, writing decisions, and milestones visible to both student and supervisor. The original guidance is part of this academic hub and uses the same navigation and visual system as the rest of the site.
Collaboration
Set up the shared workflow, meeting rhythm, decision log, and feedback cycle.
Communication
Prepare useful questions, request feedback well, and make meetings productive.
Expectations
Understand scope, format, confidentiality, integrity, AI use, and assessment roles.
Independence
Clarify ownership, supervisory boundaries, and what independent research means.
Problem framing
Turn the operational context, core problem, stakeholders, and research need into a precise opening.
Structure
Use a practical chapter structure for the project plan and optimization research.
Quality assurance
Review language, mathematics, visuals, citations, layout, and confidentiality before submission.
Examples
Study completed work for useful patterns in modeling, structure, writing, and presentation.
Thesis writing
Research design, scope, problem statements, research questions, literature, methods, and benchmarking.
Project milestones
Kickoff, thesis preparation, green-light decisions, timeframes, and colloquium logistics.
Sensitive projects
Practical guidance for company data, agreements, publication restrictions, and assessment.
This toolkit complements—but does not replace—official UT/IEM requirements and Canvas instructions. When in doubt, follow the official source.
I supervise research as a development process: clear expectations, early problem framing, inspectable decisions, regular feedback, and increasing ownership by the researcher. My role is to develop independent researchers who can formulate, implement, test, and communicate their own scientific contribution.
My BSc, MSc, and PhD supervision spans transportation, logistics, warehousing, routing, fleet management, optimization, and AI for operations. Many bachelor’s and master’s projects are conducted with companies.
Dynamic vehicle routing, shared mobility, waterborne transport, and fleet management under uncertainty.
Warehousing, production logistics, distribution, and company-connected improvement projects.
Drones, collaborative delivery modes, and heterogeneous transport resources.
Optimization, machine learning, simulation, dashboards, and research software for operational decisions.
Applied projects connect academic work with organizations in public transport, high-tech manufacturing, warehousing, engineering, consumer goods, and logistics. The scientific standard remains the same: a clear problem, a transparent method, and evidence strong enough to support the conclusion.
Predictive Fleet Management for Stochastic and Dynamic Integrated Water–Land Transportation Problems.
Decision-making under uncertainty in last-mile medical-drone delivery and dynamic collaboration among drones and complementary delivery modes.
Online Order Batching for Warehouse Picking with Delivery Deadlines.
The integrated supervision, writing, milestone, article, template, and supporting resources turn recurring guidance into a public, inspectable system. They preserve the original Thesis Toolkit content while placing it within my broader academic profile. Imported material retains its Creative Commons CC BY 4.0 notice.