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
Tennenbacher Strasse 4, 79106 Freiburg, Germany
Room 03.063
sina.farhadi (a) 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
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