Dipl.-Ing. Dr.techn. Wolfgang E. Lorenz

Wolfgang E. Lorenz is a researcher and lecturer at the Vienna University of Technology. His main research focuses on the application of digital media in architecture and spatial planning, especially on the examination and elaboration of applying fractal geometry to architecture. Other research fields concern simulation, process visualization, generative design, software engineering, algorithms, and programming languages. In the past 7 years, he has collaborated on projects regarding data analysis and software development. He published several research papers, articles, and books on students’ design work and excursions. In 2014, he obtained a doctoral degree in architecture for his thesis on Analysis of Fractal Architecture using the Box-Counting Method.

  • Since 2014 he has been supporting eCAADe (2014 Newcastle/UK, 2015 International Vienna/Austria, 2016 Oulu/Finland and 2017 Rome/ Scientific Italy), CAADRIA (2017 Suzhou/China), ARENA (2017 Meetings Brussels/Belgium) and CA2RE (2017 Ljubljana/Slovenia) through management of the web-based ProceeDings paper editor used for producing conference proceedings. In 2015 he was part of the organisation team of the eCAADe 2015 Conference in Vienna, Austria, together with Bob Martens, Thomas Grasl, Gabriel Wurzer and Richard Schaffranek.
  • Since 2009 he is reviewer for selected conferences: eCAADe, International Conference for Education and research in Computer Aided Architectural Design in Europe; CAADence in Architecture; Symposium on Simulation for Architecture and Urban Design (SimAUD); I-WISH (Innovative Methods in Healthcare, as part of I3M Multiconference).
  • Since 1999 he holds a business licences as an "Advertising Graphics-Designer" and since 2006 one in "Services of automatic data processing and information technology".

Wolfgang E. Lorenz on reposiTUm

Wolfgang E. Lorenz on ResearchGate

TU Personenprofil Lorenz

Script language

Note: Concerning the described codes (written in VBA, NetLogo, Three.js, Processing and Python), the author is not focused on good coding style. They are only used for scientific and teaching purposes (developed in a step by step process).

university

Urban Transformation Between Built and NaturalSystems by Means of an Adapted Wave FunctionCollapse Approach

Journal Paper In JoDLA –  Journal of Digital Landscape Architecture (e-ISSN 2511-624X)

In practice, urban transformation is often carried out at the outskirts or in between existing areas of a city. In that context, important questions are: How can one imagine a transition between different urban structures? ...

Healthcare and Wellbeing

Presentation: at the School of Environment and Society, Institute of Science Tokyo, Japan

This presentation explores process-driven approaches to healthcare design through early-stage functional planning and agent-based simulation. ...

Urban Data

Presentation: at the School of Environment and Society, Institute of Science Tokyo, Japan

This presentation explores how municipal data provided by the City of Vienna can be used to support urban analysis, planning, and decision-making. ...

eCAADe 2025:
Artificially Interactive Individualized Genetic Algorithms (AIIGA) for Gestalt Analysis

Evolutionary algorithms enhanced with sAI in architectural design
Talk and Proceeding: eCAADe 2025 – Confluence (Ankara, Turkey | conference)

This research is concerned with the automation of the user interventional aspect within interactive genetic algorithms (IGA) as already explored in previous publications by the authors considering their use for Gestalt analyses and generative design optimization. ...

Interview with Wolfgang E. Lorenz

in: DAP / Re:Search_2020.2025
S. 244 - 257, Research Department for Digital Architecture and Planning, TU Wien (Publisher)

Interview with Wolfgang E. Lorenz on research, teaching, and practice, especially over the last 5 years

DGC, Lissabon 2025

4th Digital Geographies Conference 2025

Artificial geographies: opening the black box for a new wave of critical thinking.
Predicting Material Composition of Walls and Floors using Machine Learning...