Siamak Khatami

About

My name is Siamak Khatami. I hold both a BSc and an MSc in industrial engineering and started my PhD program at NTNU in March 2020. Specific interests of mine include programming, artificial intelligence, statistics, agent-based modeling, and complex systems simulation.

I started my academic career with a project at the University of Zurich, Department of Psychology, under the supervision of Dr. Robert Tobias. In that project, I got the opportunity to face the practical problems of designing and implementing agent-based models. This experience encouraged me to look for research positions in the area of agent-based modeling. That was how I found my current position at NTNU under the supervision of Dr. Christopher Frantz.

PhD:
The objective of my PhD is to facilitate agent-based modeling for policy analysis using AI. For this purpose, I am drawing on developing various statistical and computational methodologies, for instance, nonlinear regression model identification using ML and automated simulation model generation using NLP. In brief, the list of sub-projects is as follows (For publications, please refer to the publications tab):

- Copatrec, a Python package to find data-oriented nonlinear relations using machine learning
- Natural Language Processing for Policy Analysis and Agent-based Generation

Teaching:

Besides my research project, I also have some teaching responsibilities and lectures in Cloud technologies, including IaaS, PaaS, and SaaS-related concepts and projects (such as Rest-API, GraphQL, NoSQL databases, micro-services, and API-based software structures). We continuously try to update course materials and introduce state-of-the-art technologies in this field to the students.

Supervision:

Besides my research and teaching activities, I supervised a master project about "Classification of Fish Species Using Deep Learning Models" (Varun Srivastava), which was finished on June 2023.

Research Group:

I am currently a member of the Intelligent Systems and Analytics (ISA) research group at NTNU.

Research

The Intelligent Systems and Analytics group is a multi-disciplinary team of computer scientists comprising numerous labs and subgroups dedicated to enhancing computer-based methodology and its application across various domains like programing, Software development, educational technologies, decentralized systems, artificial intelligence, Social simulations, and policy analysis.

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

Publications

2024

Khatami, Siamak; Frantz, Christopher Konstantin. (2024) Income Versus Demand: Exploring Dynamics of Poverty Lines Using Agent-Based Modeling. Springer
Academic chapter/article/Conference paper

Part of book/report

Khatami, Siamak; Frantz, Christopher Konstantin. (2024) Income Versus Demand: Exploring Dynamics of Poverty Lines Using Agent-Based Modeling. Springer
Academic chapter/article/Conference paper

Teaching

Cloud Technologies

Supervision

[2023]: MSc Thesis
              Title: "Classification of Fish Species Using Deep Learning Models"
              Student: Varun Srivastava
              Main Supervisor: Siamak Khatami
              Co-supervisor: Ahmad Hasanpour

Outreach

2023

Poster

Khatami, Siamak; Frantz, Christopher Konstantin. (2023) Correlation Pattern Recognizer (Copatrec): Automating Nonlinear Model Selection from Data. The European Social Simulation Association (ESSA) 18th Social Simulation Conference (SCC2023) , Glasgow 2023-09-04 - 2023-09-08

Språkvelger

Siamak Khatami

Siamak Khatami

About

Research

Correlation Pattern Recognizer (Copatrec)

Publications

2024

2023

2021

Journal publications

Part of book/report

Teaching

Supervision

Outreach

2023