I’m a graduate research and teaching assistant at the University of British Columbia and a member of Dependable Systems Lab where I'm working under the supervison of Prof. Karthik Pattabiraman. My research interests lie in the area of Secure Cyber-physical and Networked Systems, the Internet of Things, and Machine Learning.

Currently, I'm conducting research on "Robust and Resilient Machine Learning for Connected Healthcare Device Systems" in which we aim to address the security issues for using ML in healthcare domain.

I earned both my B.Sc. and M.Sc. degrees from Amirkabir University of Technology (Tehran Polytechnic) in Tehran, Iran. My Master's thesis, completed under the supervision of Prof. Ali Doustmohammadi, focuses on "False Data Injection Detection on Measurement Units of Smart Grid Systems Using Petri Nets." In this work, I developed a Petri Net-based model for the protection section of the smart grid, which can simulate the simultaneous occurrence of error and attack. In addition, I applied a method based on the theory of finite fields and provided a parity check solution to detect false data injection attacks on measurement units in smart grid systems.


  • Programming: Python (Pandas, PyTorch, NumPy, Scikit‑learn), C/C++, HTML/CSS, SQL
  • Hardware: Arduino, AVR and ARM Microcontroller, PLC, Raspberry Pi, ESP
  • Miscellaneous: Linux, LATEX, Tableau, Microsoft Office, Git
  • Soft Skills: Time Management, Teamwork, Problem‑solving, Documentation, Engaging Presentation, Teaching

Licenses & Certifications

Machine Learning Specialization

Coursera - Issued Nov 2022

Credential ID BXKX2EX6K9J5

ISA Transactions Recognized Reviewer

Elsevier - Issued Oct 2020


ISA Transactions


Oct 2020 - Present

IEEE Transactions on Dependable and Secure Computing


Jan 2023 - Present

Honors & Awards

President's Academic Excellence Initiative PhD Award

Sep 2022, Sep 2023

International Tuition Award

Sep 2023, Sep 2023

Ph.D. Entrance Test Exemption Nominee

Aug 2022

Ranked 2nd among the master's students in Control Systems - Class of 2022

Jun 2022