Research Associate · Infrastructure Engineering
I build models that bring predictive maintenance to district heating and cooling networks — digging through past operating data to work out what the infrastructure will do next.
01 — About
I am a research associate in the field of Infrastructure Engineering. The topic I focus on is predictive maintenance, and I develop models to adopt this technique in district heating and cooling systems.
I enjoy coding and playing with data. What I mainly do is dig the past data to predict the future, employing various machine learning and deep learning techniques to answer different questions while developing models.
Areas of experience
Skills & competencies
Work experience
2019 — now
Research Associate, Infrastructure Engineering
HafenCity Universität Hamburg
2016 — 2019
Student Assistant, Data Analysis & Software Development
HafenCity Universität Hamburg
Education
2019 — now
PhD candidate — Predictive Maintenance
HafenCity Universität Hamburg
2016 — 2019
M.Sc. Resource Efficiency in Architecture and Planning
HafenCity Universität Hamburg
2014 — 2016
M.Sc. Architecture
Politecnico di Milano — Piacenza
2007 — 2012
B.Sc. Architectural Engineering
Azad University — Shiraz
Off the clock
02 — Research
“What I love about science is that as you learn, you don’t really get answers. You just get better questions.”
How far into its service life is a buried district heating pipe, and what does the material tell us about the time it has left?
Reconstructing the loading history a network has already experienced, so that maintenance decisions rest on the real thermal record.
Using laser-induced breakdown spectroscopy to tell cement paste from aggregate automatically, without preparing a single sample by hand.
A steel pipe specimen taken to failure — the mechanical groundwork behind the lifetime models.
03 — Publications
Peer-reviewed articles, conference papers and reports. The complete list is maintained on the HCU Hamburg research portal.
As first author
Co-authored & contributed
04 — Contact
Happy to talk about district heating, predictive maintenance, or anything data-shaped.
me@pakdad.com