MsFarah Vahdati
Graduate Research Student
School of Computer Science
Orcid identifier0009-0006-2173-5622 (opens in a new tab)
- Graduate Research StudentSchool of Computer Science
BIO
Farahnaz Vahdati is a PhD research student specializing in Machine Learning. She is currently conducting research in the area of Depression Detection on teenagers' activities on social media using machine learning techniques under the supervision of Dr. Morteza Saberi at UTS. Her research aims to develop a machine learning model for accurately detecting depression for teenagers activities on social media.
Farahnaz Vahdati obtained her Bachelor's degree in Software Engineering from Shiraz Azad University in 2003 and her Master's degree in Software Engineering from Tehran PayamNoor University in 2011.
Farah is particularly interested in Machine Learning and Artificial intelligence (AI) and has presented her literature review at the IEEE CSDE 2022 conference.
In addition to her research, Farah has also gained experience in application programming in the IT industry.
Farahnaz Vahdati obtained her Bachelor's degree in Software Engineering from Shiraz Azad University in 2003 and her Master's degree in Software Engineering from Tehran PayamNoor University in 2011.
Farah is particularly interested in Machine Learning and Artificial intelligence (AI) and has presented her literature review at the IEEE CSDE 2022 conference.
In addition to her research, Farah has also gained experience in application programming in the IT industry.
DEGREES
- PhD research StudentUniversity of Technology Sydney, Sydney, Australia2021 - present
- Master of Software EngineeringPayame Noor University, Tehran, Iran2008 - 2011
- Bachelor of Software EngineeringIslamic Azad University of Shiraz, Shiraz, Iran1998 - 2003
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
PROFILE TYPE
- Higher Degree by Research