# Sina R. K. Farhadi

**Source**: https://www.biom.uni-freiburg.de/mitarbeiter/Farhadi
**Parent**: https://www.biom.uni-freiburg.de/mitarbeiter/dormann/prof.-dr.-carsten-dormann?set_language=en

# Sina R. K. Farhadi

[Department of Biometry and Environmental System Analysis](https://www.biom.uni-freiburg.de/mitarbeiter/portal_factory/)

Tennenbacher Strasse 4, 79106 Freiburg, Germany 

 Room 03.063

 [sina.farhadi (a) biom.uni-freiburg.de](mailto:sina.farhadi@biom.uni-freiburg.de)

phone: +49 761 203-8666 

**ResearchGate:** <https://www.researchgate.net/profile/Sina-R-K-Farhadi-2>

**LinkedIn:**  [https://www.linkedin.com/in/sina-r-k-farhadi-3a1348260](https://www.linkedin.com/in/sina-r-k-farhadi-3a1348260/)

## Research Interests

- Deep Learning

- Computer Vision

- Biometry

- Machine Learning

- Artificial Intelligence

- Big Data Analysis

- Data Mining

- Extended Reality (XR)

- Parallel Computing

- Distributed Computing

- Blockchain

- Quantum Computing and Information Processing

\

## Curriculum Vitae

|  |  |  |
| --- | --- | --- |
| **2023-present** |  | PhD candidate and research fellow in the ECOSENSE project, University of Freiburg. |
| **2018-2022** |  | MSc in mechatronic engineering, K.N. Toosi University of Technology. **Thesis title:** Convolutional neural network-based intelligent advanced driver-assistance system (ADAS) for monitoring the driver's condition and the the environment around the car. |
| **2016-2017** |  | BSc. mechanical engineering, Shahid Beheshti University (Visiting Student). |
| **2014-2018** |  | BSc. mechanical engineering (manufacturing engineering), University of Tabriz. |
|  |  |  |

## Publications

Sina Ranjbar Kooh Farhadi. (2022). Deep Learning: Theoretical and Practical Approach. Zenodo. <https://doi.org/10.5281/zenodo.6672317>

---