Siamak Khatami

Om

My name is Siamak Khatami. I have both Bs.C. and Ms.C. in industrial engineering and started my Ph.D. program at NTNU in March 2020. The most exciting fields of mine are Programming, Artificial Intelligence, statistics, and agent-based simulation. In short, Agent-based modeling is a computational simulation approach to simulate a society at a micro-level to understand macro-level behaviors concerning the dynamics and complexities of the society.

I started my professional career in this field with a project at the University of Zurich, Department of Psychology, with Dr. Robert Tobias. During that project, I got the chance to face real problems designing and implementing Agent-based models. Those experiences and highlighted questions in my mind pursued me to look for research positions in different universities, which I thought were following the same matters. That was how I found my current job at NTNU, which Dr. Christopher Frantz supervises.

The idea of my P.hD is to facilitate Agent-based modeling for policy analysis. Many solutions are proposed in this project using different statistical and computational methodologies to aim the title. In brief, the list of sub-projects is as follows: each is in another state of development.

Copatrec, a python package to find data-oriented nonlinear relations using machine learning
Facilitating Agent-based modeling using NLP

Besides my research project, I also have some teaching responsibilities and lectures in Cloud technologies which deal with all practical layers of the machine to machine communication (APIs). We continuously try to update course materials and introduce state-of-the-art technologies in this field to the students.

I am currently a member of the Software, Data, and Digital Ecosystems (SDDE) research group at NTNU, and besides my group activities, I am supervising a master project about "Underwater object detection using AI" (Varun Srivastava ).

Forskning

Intelligent Systems and Analytics (ISA)

Correlation Pattern Recognizer (Copatrec)

Copatrec is a Python package that employs the power of machine learning to not only facilitate the nonlinear mathematical model selection process but also validate it. Paper: https://www.sciencedirect.com/science/article/pii/S2352711023001528

Publikasjoner

Språkvelger

Siamak Khatami

Siamak Khatami

Om

Forskning

Correlation Pattern Recognizer (Copatrec)

Publikasjoner

2023

2021

Tidsskriftspublikasjoner