I am a research associate in the field of Infrastructure Engineering. The topic that I focus is "Predictive Maintenance" and I develop models to adopt this technique in the district heating/cooling systems. I enjoy coding and playing with data. What I mainly do is to dig the past data to predict the future. Therefore, I employ various machine learning and deep learning techniques for answering different questions in developing models.

Machine/Deep Learning, Artificial Neural Network (ANN) Tensorflow/Keras, Predictive Maintenance, Data-Mining, Software Developement for Laboratory Equipment, Laser Induced Breakdown Spectroscopy (LIBS), Civil Engineering LAB Tests, 3D Modeling and Prototyping, Excel VBA, Heat Flow Simultions, Lifetime Estimation

Education

PhD Student with the focus of Predictive Maintenance

HafenCity Universität Hamburg

Master of Science in Resource efficiency in architecture and planning

HafenCity Universität Hamburg

Master of Science in Architecture

Polytechnic of Milan - Piacenza

Bachelor of Science in Architectural Engineering

Azad University - Shiraz

Anaconda, C#, Git, HTML & CSS, Hardware Assembling, Jypeter Notebook, LabView, Linux Desktop/Server, Local Area Networking, Microsoft Windows Server, Numpy, Pandas, Python, Q-GIS, R, VB.net, VBA, VS Code, Visual Studio

Books, Chess, Cooking, Cycling, DIY, Microprocessors, Piano, Sky Watching, Traveling, Video Game, Quantum Mechanics