Welcome To Behnaz’s website!

Behnaz as

Associate Professor

Since May 2025, I have been promoted to Associate Professor (Senior Lecturer) at department of Statistics at Lund University.
Open Source: github
Google Scholar: scholar

Co-founder of BrainMill AB

I am co-founder of an IT company BrainMill which provides IT consultancy and, through its ISP brand Neanet, supplies internet to Chalmers Studentbostäder in Göteborg with around 3000 student tenants.

BWF Tutor Coach Level 3

Since November 2023, I am a BWF certified Tutor Coach Level 3.

Assistant Professor

From 1st September 2020 to May 2025, I worked as assistant professor at department of Statistics at Lund University.
Open Source: github
Google Scholar: scholar

PostDoc

I did my 3 years PostDoc at DTU Compute in division of Image Analysis & Computer Graphics.
Open Source: github

PhD

I did my PhD at Lund University in division of mathematical statistics.
Open Source: github

U15 Swedish national Badminton coach

From 1st July 2020 to July 2022, I was Swedish national Badminton coach for U15.
News about youth teams

Badminton Player

I was an International Badminton player. I participated in Asian Games and World Championship (both in 2006) for Iran and from 2013 I represented Sweden until I retired in March 2022.

About

  • 1985 - 2022

    Badminton

    I started to play Badminton since I was 4 years old. The biggest reason for that is my mom, Hamideh Motahari, my heroine, she was the best Badminton player of Iran for more than 15 years! and continued as Iran national coach afterwards. I won my first international tournament when I was 15. I had been Iran #1 for more than 8 years in a row without any lost. I participated in world championship and Asian games. From 2010, I represented Sweden in International competitions. In August 2021, I won SM senior gold in mixed doubles together with Dennis von Dahn. I retired after SM in March 2022.

  • 2012 - 2016

    PhD

    Environmental and climate processes occur over large space time domains. Their complexity and the amount of available data make the modeling and analysis a challenging task. This calls for expertise of a statistician. The overall goal of my project was to improve models of vegetation/land-cover using statistical models and spatial statistics methods. This leads to better analysis of human impact, improvement of climate models and better prediction of future changes.

  • 2017 - 2019

    PostDoc

    I did a PostDoc at DTU on a EU Horizon 2020 project called DataBio. The project aimed to provide open access software to detect changes in satellite images to help monitoring the earth observation and remote sensing community.

  • 2018 - 2020

    PostDoc

    I started my second PostDoc at DTU in QIM project. QIM stands for “The Center for Quantification of Imaging Data from MAX IV” and the aim is to develop methods and analysis tool for the high resolution images.

  • 2020 - 2025

    Assistant Professor

    From 1st September 2020 to May 2025, I worked as assistant professor at department of Statistics at Lund University. I taught Bayesian Methods STAE02 and Deep Learning and Artificial Intelligence Methods STAN47 together with Professor Krzysztof Podgórski. I also teach Data Visualization DABN19, STAE04, and STAA45.

  • 2025 - ...

    Associate Professor

    Since May 2025, I have been promoted to Associate Professor (Senior Lecturer) at the department of Statistics at Lund University. I continue to teach Bayesian Methods STAE02, Deep Learning and Artificial Intelligence Methods STAN47, and Data Visualization DABN19, STAE04, and STAA45.

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